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Tang SS, Zhao XF, An XD, Sun WJ, Kang XM, Sun YT, Jiang LL, Gao Q, Li ZH, Ji HY, Lian FM. Classification and identification of risk factors for type 2 diabetes. World J Diabetes 2025; 16:100371. [PMID: 39959280 PMCID: PMC11718467 DOI: 10.4239/wjd.v16.i2.100371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 10/24/2024] [Accepted: 11/26/2024] [Indexed: 12/30/2024] Open
Abstract
The risk factors for type 2 diabetes mellitus (T2DM) have been increasingly researched, but the lack of systematic identification and categorization makes it difficult for clinicians to quickly and accurately access and understand all the risk factors, which are categorized in this paper into five categories: Social determinants, lifestyle, checkable/testable risk factors, history of illness and medication, and other factors, which are discussed in a narrative review. Meanwhile, this paper points out the problems of the current research, helps to improve the systematic categorisation and practicality of T2DM risk factors, and provides a professional research basis for clinical practice and industry decision-making.
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Affiliation(s)
- Shan-Shan Tang
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, Jilin Province, China
| | - Xue-Fei Zhao
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Xue-Dong An
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Wen-Jie Sun
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Xiao-Min Kang
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Yu-Ting Sun
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Lin-Lin Jiang
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Qing Gao
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Ze-Hua Li
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Hang-Yu Ji
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
| | - Feng-Mei Lian
- Department of Endocrinology, Guang’anmen Hospital, Beijing 100053, China
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Blackwood SJ, Tischer D, van de Ven MPF, Pontén M, Edman S, Horwath O, Apró W, Röja J, Ekblom MM, Moberg M, Katz A. Elevated heart rate and decreased muscle endothelial nitric oxide synthase in early development of insulin resistance. Am J Physiol Endocrinol Metab 2024; 327:E172-E182. [PMID: 38836779 DOI: 10.1152/ajpendo.00148.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/29/2024] [Accepted: 05/30/2024] [Indexed: 06/06/2024]
Abstract
Insulin resistance (IR) is a risk factor for the development of several major metabolic diseases. Muscle fiber composition is established early in life and is associated with insulin sensitivity. Hence, muscle fiber composition was used to identify early defects in the development of IR in healthy young individuals in the absence of clinical manifestations. Biopsies were obtained from the thigh muscle, followed by an intravenous glucose tolerance test. Indices of insulin action were calculated and cardiovascular measurements, analyses of blood and muscle were performed. Whole body insulin sensitivity (SIgalvin) was positively related to expression of type I muscle fibers (r = 0.49; P < 0.001) and negatively related to resting heart rate (HR, r = -0.39; P < 0.001), which was also negatively related to expression of type I muscle fibers (r = -0.41; P < 0.001). Muscle protein expression of endothelial nitric oxide synthase (eNOS), whose activation results in vasodilation, was measured in two subsets of subjects expressing a high percentage of type I fibers (59 ± 6%; HR = 57 ± 9 beats/min; SIgalvin = 1.8 ± 0.7 units) or low percentage of type I fibers (30 ± 6%; HR = 71 ± 11; SIgalvin = 0.8 ± 0.3 units; P < 0.001 for all variables vs. first group). eNOS expression was 1) higher in subjects with high type I expression; 2) almost twofold higher in pools of type I versus II fibers; 3) only detected in capillaries surrounding muscle fibers; and 4) linearly associated with SIgalvin. These data demonstrate that an altered function of the autonomic nervous system and a compromised capacity for vasodilation in the microvasculature occur early in the development of IR.NEW & NOTEWORTHY Insulin resistance (IR) is a risk factor for the development of several metabolic diseases. In healthy young individuals, an elevated heart rate (HR) correlates with low insulin sensitivity and high expression of type II skeletal muscle fibers, which express low levels of endothelial nitric oxide synthase (eNOS) and, hence, a limited capacity to induce vasodilation in response to insulin. Early targeting of the autonomic nervous system and microvasculature may attenuate development of diseases stemming from insulin resistance.
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Affiliation(s)
- Sarah J Blackwood
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Dominik Tischer
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Myrthe P F van de Ven
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Marjan Pontén
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Sebastian Edman
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Oscar Horwath
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - William Apró
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Julia Röja
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Maria M Ekblom
- Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Marcus Moberg
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Abram Katz
- Åstrand Laboratory, Department of Physiology, Nutrition and Biomechanics, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
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Son MK, Lee K, Park HY. Temporal Changes in Resting Heart Rate and Risk of Diabetes Mellitus. Diabetes Metab J 2024; 48:752-762. [PMID: 38310876 PMCID: PMC11307111 DOI: 10.4093/dmj.2023.0305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/13/2023] [Indexed: 02/06/2024] Open
Abstract
BACKGRUOUND To investigate the association between the time-varying resting heart rate (RHR) and change in RHR (∆RHR) over time and the risk of diabetes mellitus (DM) by sex. METHODS We assessed 8,392 participants without DM or atrial fibrillation/flutter from the Korean Genome and Epidemiology Study, a community-based prospective cohort study that was initiated in 2001 to 2002. The participants were followed up until December 31, 2018. Updating RHR with biennial in-study re-examinations, the time-varying ∆RHR was calculated by assessing the ∆RHR at the next follow-up visit. RESULTS Over a median follow-up of 12.3 years, 1,345 participants (16.2%) had DM. As compared with RHR of 60 to 69 bpm, for RHR of ≥80 bpm, the incidence of DM was significantly increased for both male and female. A drop of ≥5 bpm in ∆RHR when compared with the stable ∆RHR group (-5< ∆RHR <5 bpm) was associated significantly with lower risk of DM in both male and female. However, an increase of ≥5 bpm in ∆RHR was significantly associated with higher risk of DM only in female, not in male (hazard ratio for male, 1.057 [95% confidence interval, 0.869 to 1.285]; and for female, 1.218 [95% confidence interval, 1.008 to 1.471]). CONCLUSION In this community-based longitudinal cohort study, a reduction in ∆RHR was associated with a decreased risk of DM, while an increase in ∆RHR was associated with an increased risk of DM only in female.
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Affiliation(s)
- Mi Kyoung Son
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Cheongju, Korea
| | - Kyoungho Lee
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Cheongju, Korea
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Yue Q, Yang L, Liu T, Feng B, Li Y, Wang G, Wei Z, Song Z, Zhao H, Wu S. Controlling Risk Factors Reduces Cancer Risk in Patients with Atherosclerotic Cardiovascular Disease: A Cohort Study. Am J Med 2024; 137:341-349.e7. [PMID: 38135014 DOI: 10.1016/j.amjmed.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 11/01/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND The association of atherosclerotic cardiovascular disease (ASCVD) with cancer occurrence is not well examined, and the impact of common risk factors on the risk of cancer in ASCVD patients is not known. This study aimed to explore the effect and possible causes of ASCVD on cancer risk through a cohort study. METHODS A total of 14,665 age- and sex-matched pairs of participants were recruited from the Kailuan cohort (ASCVD vs non-ASCVD). A competing risk model was used to calculate the risk of cancer after ASCVD. RESULTS A total of 1124 cancers occurred after 5.80 (3.05-9.44) years of follow-up. The ASCVD group had a reduced risk of cancer (hazard ratio 0.74; 95% confidence interval, 0.65-0.85). Also, the risk of cancer in the digestive system, respiratory system, urinary system, and reproductive system was reduced by 17%, 16%, 14%, and 52%, respectively. According to the status of systolic and diastolic blood pressure, fasting blood glucose, high-sensitivity C-reactive protein and body mass index after ASCVD, the risk of overall cancer and digestive system cancer decreased with the increase in the number of ideal indicators (P for trend < .01). With the increase of follow-up time, the risk of cancer and the 5 site-specific cancers gradually decreased. CONCLUSIONS Cancer risk can be reduced by controlling for common risk factors after ASCVD event. This risk reduction is site-specific-, time-, and the number of ideal indicator-dependent.
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Affiliation(s)
- Qing Yue
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Ling Yang
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Baoyu Feng
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Yun Li
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | | | - Zhihao Wei
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Zongshuang Song
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Haiyan Zhao
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China.
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Huang L, Wang A, Wu Z, Chen S, Zheng Y, Wu S, Gao X. Life's essential 8 and risk of all-cause mortality in individuals with cardiovascular diseases: A prospective community-based study. Clin Cardiol 2024; 47:e24119. [PMID: 37994466 PMCID: PMC10823447 DOI: 10.1002/clc.24119] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/24/2023] [Accepted: 08/01/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Although risk factors for mortality in individuals with cardiovascular diseases (CVD) have been reported, little is known regarding the association between the comprehensive cardiovascular health (CVH) index assessed by life's essential 8 (LE8) and the risk of mortality. HYPOTHESIS The aim of this study was to evaluate the CVH assessed by LE8 and risk of mortality in individuals with CVD. METHODS A total of 1391 participants with CVD diagnosed before 2014 from the Kailuan cohort were included in the analysis. The CVH score ranged from 0 to 100 was assessed using the LE8 metrics (diet quality, physical activity, sleep health, cigarette smoking, body mass index, lipids, blood glucose, and blood pressure). Cox regression model was used to estimate the association between the CVH score and risk of all-cause mortality. RESULTS During a mean follow-up of 6.1 ± 1.5 years, 229 deaths occurred. The hazard ratio for all-cause mortality was 0.57 (95% confidence interval [CI]: 0.38, 0.84) in the highest quartiles compared with the lowest quartiles of CVH scores and 0.85 (95% CI: 0.75, 0.95) for each 10 points increment in CVH scores (ptrend = .009), after adjustment for age, sex, CVD duration, social-economic status, alcohol consumption, inflammation, medicine use, and kidney function. We did not observe significant interactions between the CVH scores and age, sex, and duration of CVD diagnosis (pinteraction > .05 for all). CONCLUSIONS The CVH assessed by the LE8 metrics was associated with a lower risk of all-cause mortality in individuals with CVD.
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Affiliation(s)
- Lili Huang
- Department of Nutrition and Food HygieneSchool of Public Health, Institute of NutritionShanghaiPeople's Republic of China
| | - Aitian Wang
- Department of Intensive MedicineKailuan General HospitalTangshanPeople's Republic of China
| | - Zhijun Wu
- Department of Cardiovascular Medicine, Ruijin HospitalShanghai Jiaotong University School of MedicineShanghaiPeople's Republic of China
| | - Shuohua Chen
- Department of CardiologyKailuan General HospitalTangshanPeople's Republic of China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life SciencesFudan UniversityShanghaiPeople's Republic of China
| | - Shouling Wu
- Department of CardiologyKailuan General HospitalTangshanPeople's Republic of China
| | - Xiang Gao
- Department of Nutrition and Food HygieneSchool of Public Health, Institute of NutritionShanghaiPeople's Republic of China
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Tian X, Chen S, Zhang Y, Zhang X, Xu Q, Xia X, Wang P, Luo Y, Wu S, Wang A. Association of cumulative blood glucose load with cardiovascular risk and all-cause mortality. Diabetes Metab Syndr 2023; 17:102900. [PMID: 38043452 DOI: 10.1016/j.dsx.2023.102900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/24/2023] [Accepted: 10/27/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Incorporation both the magnitude and duration of exposure to elevated fasting blood glucose (FBG) into a single risk parameter (cumulative FBG load) for future diseases is intuitively appealing, although a data-based demonstration of the utility of this metric is not available. This study aimed to investigate the associations with cumulative FBG load with the risk of cardiovascular diseases (CVD) and all-cause mortality in the general population. METHODS This prospective cohort study included 41,728 participants who were free of CVD and underwent four health examinations from 2006 to 2012. Cumulative FBG load during 2006-2012 was calculated as the area under curve for FBG values ≥ 5.6 mmol/L divided by the total area curve. We also compared the predicting value cumulative FBG load with other FBG metrics. RESULTS During a median follow-up of 6.75 years, we identified 2323 cases of CVD and 1724 cases of all-cause mortality. Per 1-standard deviation increase in cumulative FBG load was associated with a 16 % higher risk of CVD (hazard ratio [HR]: 1.16; 95 % confidence interval [CI], 1.13-1.20) and 20 % higher risk of all-cause mortality (HR, 1.20; 95 % CI, 1.16-1.25). For the prediction of cardiovascular outcomes and all-cause mortality, cumulative FBG load outperformed FBG time-in-target, visit-to-visit FBG variability, and mean FBG in terms of C-statistics and reclassification indexes. CONCLUSIONS Cumulative FBG load may provide a better prediction of cardiovascular outcomes compared with other FBG metrics in the general population. These findings emphasized the important role of cumulative FBG load in assessing cardiovascular and mortality risk.
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Affiliation(s)
- Xue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Yijun Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qin Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xue Xia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Penglian Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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Moazzeni SS, Karimi Toudeshki K, Ghorbanpouryami F, Hasheminia M, Azizi F, Pishgahi M, Hadaegh F. Resting heart rate and the risk of incident type 2 diabetes mellitus among non-diabetic and prediabetic Iranian adults: Tehran lipid and glucose study. BMC Public Health 2023; 23:2112. [PMID: 37891510 PMCID: PMC10605332 DOI: 10.1186/s12889-023-17022-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Resting heart rate (RHR) has been found to be a potential risk factor for developing type 2 diabetes mellitus (T2DM), with a highly significant heterogeneity among previous studies. Therefore, we examined the association of RHR and risk of incident T2DM among non-diabetic and prediabetic adults. METHODS The study population included 2431 men and 2910 women aged ≥ 20 years without T2DM at baseline (2001-2005). Participants were followed for incident T2DM by about 3-year intervals up to April 2018. The multivariable Cox proportional models were applied to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). The models were adjusted for age, body mass index, waist circumference, educational level, physical activity, smoking, hypertension, family history of diabetes, triglycerides/ high-density lipoprotein cholesterol ratio, and fasting plasma glucose. RESULTS During a median follow-up of 12.2 years, 313 men and 375 women developed T2DM. Interestingly, a significant sex-difference was found (all P-values for sex interaction < 0.025). Among men, compared to the first quintile (< 68 bpm: beats per minute), those who had RHR of over 84 bpm were at higher T2DM risk with a HR (95%CI) of 1.69 (1.16-2.47). Furthermore, considering RHR as a continuous variable, an increase of 10 bpm caused 17% significantly higher risk among men with a HR of 1.17 (1.05-1.30). However, among women, there was no significant association between incident T2DM and RHR. Moreover, among prediabetic participants at baseline, the association of RHR and risk of T2DM progression was generally similar to the general population, which means higher RHR increased the risk of T2DM development only among men with a HR of 1.26 (1.09-1.46) for 10 bpm increase. CONCLUSIONS Among men, being either non-diabetic or prediabetic at baseline, higher RHR can be associated with incident T2DM; however, women didn't show a significant association. Further studies are needed to determine the added value of RHR as a potential modifiable risk factor in screening and risk prediction of incident T2DM.
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Affiliation(s)
- Seyyed Saeed Moazzeni
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kimia Karimi Toudeshki
- Medical student, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Ghorbanpouryami
- Medical student, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Pishgahi
- Department of Cardiology, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Wang K, Ahmadizar F, Geurts S, Arshi B, Kors JA, Rizopoulos D, Sijbrands EJG, Ikram MA, Kavousi M. Heart Rate Variability and Incident Type 2 Diabetes in General Population. J Clin Endocrinol Metab 2023; 108:2510-2516. [PMID: 37022971 PMCID: PMC10505535 DOI: 10.1210/clinem/dgad200] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 04/07/2023]
Abstract
CONTEXT Hyperglycemia and autonomic dysfunction are bidirectionally related. OBJECTIVE We investigated the association of longitudinal evolution of heart rate variability (HRV) with incident type 2 diabetes (T2D) among the general population. METHODS We included 7630 participants (mean age 63.7 years, 58% women) from the population-based Rotterdam Study who had no history of T2D and atrial fibrillation at baseline and had repeated HRV assessments at baseline and during follow-up. We used joint models to assess the association between longitudinal evolution of heart rate and different HRV metrics (including the heart rate-corrected SD of the normal-to-normal RR intervals [SDNNc], and root mean square of successive RR-interval differences [RMSSDc]) with incident T2D. Models were adjusted for cardiovascular risk factors. Bidirectional Mendelian randomization (MR) using summary-level data was also performed. RESULTS During a median follow-up of 8.6 years, 871 individuals developed incident T2D. One SD increase in heart rate (hazard ratio [HR] 1.20; 95% CI, 1.09-1.33), and log(RMSSDc) (HR 1.16; 95% CI, 1.01-1.33) were independently associated with incident T2D. The HRs were 1.54 (95% CI, 1.08-2.06) for participants younger than 62 years and 1.15 (95% CI, 1.01-1.31) for those older than 62 years for heart rate (P for interaction <.001). Results from bidirectional MR analyses suggested that HRV and T2D were not significantly related to each other. CONCLUSION Autonomic dysfunction precedes development of T2D, especially among younger individuals, while MR analysis suggests no causal relationship. More studies are needed to further validate our findings.
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Affiliation(s)
- Kan Wang
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Fariba Ahmadizar
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
- Julius Global Health, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Sven Geurts
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Banafsheh Arshi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Jan A Kors
- Department of Medical Informatics, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Dimitris Rizopoulos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
- Department of Biostatistics, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Eric J G Sijbrands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
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Wang H, Zhou J, Wang YX, Wang Q, Yan Y, Yang X, Yang J, Zhou W, Nie Z, Shi X, Ji H, Zhang Y, Shi X, Wei WB. Prevalence and associated health and lifestyle factors of myopic maculopathy in northern China: the Kailuan eye study. BMC Ophthalmol 2023; 23:176. [PMID: 37095443 PMCID: PMC10123981 DOI: 10.1186/s12886-023-02896-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/31/2023] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND To evaluate the prevalence and associated health and lifestyle factors of myopic maculopathy (MM) in a northern Chinese industrial city. METHODS The cross-sectional Kailuan Eye Study included subjects who participated in the longitudinal Kailuan Study in 2016. Ophthalmologic and general examinations were performed on all the participants. MM was graded based on fundus photographs using the International Photographic Classification and Grading System. The prevalence of MM was evaluated. Univariate and multiple logistic regression were adopted to evaluated risk factors of MM. RESULTS The study included 8330 participants with gradable fundus photographs for MM and ocular biometry data. The prevalence of MM was 1.11% (93/8330; 95% confidence interval [CI] 0.89-1.33%). Diffuse chorioretinal atrophy, patchy chorioretinal atrophy, macular atrophy, and plus lesions were observed in 72 (0.9%), 15 (0.2%), 6 (0.007%), and 32 eyes (0.4%), respectively. MM was more common in eyes with longer axial length (OR 4.517; 95%CI 3.273 to 6.235) and in participants with hypertension (OR 3.460; 95%CI 1.152 to 10.391), and older age (OR 1.084; 95%CI 1.036 to 1.134). CONCLUSIONS The MM was present in 1.11% of the northern Chinese individuals 21 years or older and the associate factors include longer axial length, older age, and hypertension.
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Affiliation(s)
- Haiwei Wang
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
- Department of Ophthalmology, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Jinqiong Zhou
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Qian Wang
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Yanni Yan
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Xuan Yang
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Jingyan Yang
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Wenjia Zhou
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Zihan Nie
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Xuhan Shi
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Haixia Ji
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Yongpeng Zhang
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Xuehui Shi
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Wen-Bin Wei
- Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, China.
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10
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Association of fasting plasma glucose trajectory with lifetime risk of cardiovascular disease. Eur J Clin Nutr 2023; 77:335-341. [PMID: 36443394 DOI: 10.1038/s41430-022-01243-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Few studies have used multiple measurements of fasting plasma glucose (FPG) to examine the impact of long-term FPG trajectory patterns on lifetime risk of cardiovascular disease (CVD). We aimed to identify the long-term patterns in FPG trajectories and to estimate the lifetime risk of CVD according to FPG trajectories. METHODS Individuals free of CVD at index ages 35 (n = 72,324), 45 (n = 62,049), and 55 (n = 38,113) years were included. FPG concentrations were measured in 2006, 2008, and 2010. The FPG trajectories were identified by latent mixture modeling. The modified Kaplan-Meier method was used to calculate lifetime risk of CVD. RESULTS We identified five distinct FPG trajectories and named them according to FPG range and changing pattern over time: low-stable, moderate-stable, moderate-increasing, elevated-decreasing, and elevated-stable. At index age 35 years, we documented 3110 CVD events in men during 371,219 person-years of follow-up and 357 CVD events in women during 107,447 person-years of follow-up. Among all participants, the elevated-stable FPG pattern experienced the highest lifetime risk of CVD (44.8%, 95% CI: 37.8-51.9%), low-stable pattern was lowest (24.3%, 95% CI: 23.3-25.2%). At index age 55 years, although the elevated-stable and elevated-decreasing FPG patterns had similar original FPG concentrations, individuals with elevated-decreasing pattern (30.0%, 95% CI: 23.9-36.1%) had approximately one-third less lifetime risk of CVD than those with elevated-stable pattern (43.6%, 95% CI: 31.8-55.3%). CONCLUSIONS FPG trajectories were significantly associated with the lifetime risk of CVD. Both decrease in FPG over time and consistently lower FPG over 4 years were associated with lower lifetime risk of CVD.
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11
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Jiang P, Gao F, Liu S, Zhang S, Zhang X, Xia Z, Zhang W, Jiang T, Zhu JL, Zhang Z, Shu Q, Snyder M, Li J. Longitudinally tracking personal physiomes for precision management of childhood epilepsy. PLOS DIGITAL HEALTH 2022; 1:e0000161. [PMID: 36812648 PMCID: PMC9931296 DOI: 10.1371/journal.pdig.0000161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 11/13/2022] [Indexed: 12/24/2022]
Abstract
Our current understanding of human physiology and activities is largely derived from sparse and discrete individual clinical measurements. To achieve precise, proactive, and effective health management of an individual, longitudinal, and dense tracking of personal physiomes and activities is required, which is only feasible by utilizing wearable biosensors. As a pilot study, we implemented a cloud computing infrastructure to integrate wearable sensors, mobile computing, digital signal processing, and machine learning to improve early detection of seizure onsets in children. We recruited 99 children diagnosed with epilepsy and longitudinally tracked them at single-second resolution using a wearable wristband, and prospectively acquired more than one billion data points. This unique dataset offered us an opportunity to quantify physiological dynamics (e.g., heart rate, stress response) across age groups and to identify physiological irregularities upon epilepsy onset. The high-dimensional personal physiome and activity profiles displayed a clustering pattern anchored by patient age groups. These signatory patterns included strong age and sex-specific effects on varying circadian rhythms and stress responses across major childhood developmental stages. For each patient, we further compared the physiological and activity profiles associated with seizure onsets with the personal baseline and developed a machine learning framework to accurately capture these onset moments. The performance of this framework was further replicated in another independent patient cohort. We next referenced our predictions with the electroencephalogram (EEG) signals on selected patients and demonstrated that our approach could detect subtle seizures not recognized by humans and could detect seizures prior to clinical onset. Our work demonstrated the feasibility of a real-time mobile infrastructure in a clinical setting, which has the potential to be valuable in caring for epileptic patients. Extension of such a system has the potential to be leveraged as a health management device or longitudinal phenotyping tool in clinical cohort studies.
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Affiliation(s)
- Peifang Jiang
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Feng Gao
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Sixing Liu
- SensOmics, Inc. Burlingame, California, United States of America
| | - Sai Zhang
- SensOmics, Inc. Burlingame, California, United States of America
| | - Xicheng Zhang
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Genetics, Center for Genomics and Personalized Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Zhezhi Xia
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weiqin Zhang
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tiejia Jiang
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jason L. Zhu
- SensOmics, Inc. Burlingame, California, United States of America
| | - Zhaolei Zhang
- SensOmics, Inc. Burlingame, California, United States of America
- Donnelly Centre, Department of Computer Science and Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- * E-mail: (ZZ); (QS); (MS); (JL)
| | - Qiang Shu
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- * E-mail: (ZZ); (QS); (MS); (JL)
| | - Michael Snyder
- SensOmics, Inc. Burlingame, California, United States of America
- * E-mail: (ZZ); (QS); (MS); (JL)
| | - Jingjing Li
- SensOmics, Inc. Burlingame, California, United States of America
- * E-mail: (ZZ); (QS); (MS); (JL)
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12
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Barzilay JI, Tressel W, Biggs ML, Stein PK, Kizer JR, Shitole SG, Bene-Alhasan Y, Mukamal KJ. The Association of Measures of Cardiovascular Autonomic Function, Heart Rate, and Orthostatic Hypotension With Incident Glucose Disorders: The Cardiovascular Health Study. Diabetes Care 2022; 45:2376-2382. [PMID: 35916730 PMCID: PMC9643137 DOI: 10.2337/dc22-0553] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 06/18/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The autonomic nervous system (ANS) innervates pancreatic endocrine cells, muscle, and liver, all of which participate in glucose metabolism. We tested whether measures of cardiovascular ANS function are independently associated with incident diabetes and annual change in fasting glucose (FG) levels as well as with insulin secretion and insulin sensitivity in older adults without diabetes. RESEARCH DESIGN AND METHODS Heart rate (HR) and measures of HR variability (HRV) were derived from 24-h electrocardiographic monitoring. Blood pressure, seated and standing, was measured. Cox proportional hazards models and linear mixed models were used to analyze the associations between HRV, HR, and orthostatic hypotension (SBP >20 mmHg decline) and incident diabetes or longitudinal FG change. RESULTS The mean annual unadjusted FG change was 1 mg/dL. Higher detrended fluctuation analyses (DFA) values, averaged over 4-11 (DFA1) or 12-20 beats (DFA2)-reflecting greater versus less organization of beat-to-beat intervals-were associated with less FG increase over time (per 1-SD increment: DFA1: -0.49 mg/dL/year [-0.96, -0.03]; DFA2: -0.55 mg/dL/year [-1.02, -0.09]). In mutually adjusted analyses, higher SD of the N-N interval (SDNN) was associated with less FG increase over time (per 1-SD increment: SDNN: -0.62 mg/dL/year [-1.22, -0.03]). Higher values of DFA1, DFA2, and SDNN were each associated with greater insulin secretion and insulin sensitivity but not with incident diabetes. We observed no association of HR or orthostatic hypotension with diabetes or FG change. CONCLUSIONS Specific measures of cardiac autonomic function are prospectively related to FG level changes and insulin secretion and action.
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Affiliation(s)
- Joshua I. Barzilay
- Division of Endocrinology, Kaiser Permanente of Georgia, Atlanta, GA
- Division of Endocrinology, Emory School of Medicine, Atlanta, GA
| | - William Tressel
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA
| | - Mary L. Biggs
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA
| | - Phyllis K. Stein
- Cardiovascular Division, Department of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO
| | - Jorge R. Kizer
- Cardiology Section, San Francisco VA Health Care System, San Francisco, CA
- Department of Medicine, University of California, San Francisco, San Francisco, CA
| | - Sanyog G. Shitole
- Cardiology Section, San Francisco VA Health Care System, San Francisco, CA
- Department of Medicine, University of California, San Francisco, San Francisco, CA
| | - Yakubu Bene-Alhasan
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Brookline, MA
| | - Kenneth J. Mukamal
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Brookline, MA
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Li W, Wang Y, Chen S, Zhao J, Su Q, Fan Y, Wu S, Li J, Hong J. Evaluation of Carotid Artery Atherosclerosis and Arterial Stiffness in Cardiovascular Disease Risk: An Ongoing Prospective Study From the Kailuan Cohort. Front Cardiovasc Med 2022; 9:812652. [PMID: 35586658 PMCID: PMC9108697 DOI: 10.3389/fcvm.2022.812652] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 03/21/2022] [Indexed: 11/17/2022] Open
Abstract
Objective To assess whether carotid artery ultrasonography and brachial-ankle pulse wave velocity (baPWV) measurement can accurately predict cardiovascular and cerebrovascular events, and all-cause mortality in patients with cardiovascular diseases (CVD). Methods Patients from the Kailuan Study Stroke Cohort (Tangshan, China) who underwent carotid artery ultrasonography and baPWV measurement between June 2010 and June 2011 were included in this study. The effects of carotid plaque, baPWV, and their combination on cardiovascular events, including myocardial infarction (MI), cerebral ischemic stroke, cerebrovascular events, and all-cause mortality, were evaluated using Kaplan-Meier analysis and Cox proportional hazards regression. Results A total of 4,899 participants (59.7% males; 54.18 ± 11.52 years old) were analyzed. During a mean follow-up of 5.68 ± 0.66 years, the incidence of cardiovascular events and all-cause mortality were 4.94‰ person-years and 7.02‰ person-years, respectively; 32.8% of participants had both carotid artery atherosclerosis and increased arterial stiffness. A high baPWV alone was associated with an increased risk of CVD events [hazard ratio (HR): 2.68; 95% confidence interval (95% CI): 1.20–6.00; P = 0.007] and cerebral infarction (HR: 5.92; 95% CI: 1.76–19.93; P = 0.004), but not with MI or all-cause death. The presence of both carotid plaque and high baPWV was highly associated with an increased risk of CVD events (HR: 4.65; 95% CI: 2.06–10.45; P < 0.001) and cerebral infarction (HR: 9.21; 95% CI: 2.71–31.19; P < 0.001), but not with MI or all-cause death. Similar results were obtained by the Kaplan-Meier analyses. Conclusion The presence of carotid plaque and high baPWV were associated with a high risk of CVD events and ischemic stroke. Moreover, the combination of carotid artery ultrasonography and baPWV measurement could predict the risk for CVD ability more accurately than a single measurement alone.
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Affiliation(s)
- Wen Li
- Department of Ultrasound, Shanghai Jiao Tong University Affiliated 6th People's Hospital, Shanghai Institute of Ultrasound in Medicine, Shanghai, China
| | - Yan Wang
- Department of Ultrasound, Shanghai Jiao Tong University Affiliated 6th People's Hospital, Shanghai Institute of Ultrasound in Medicine, Shanghai, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China
| | - Jianqiu Zhao
- Department of Anesthesiology, Anting Hospital, Shanghai, China
| | - Qi Su
- Department of Internal and Emergency Medicine, Shanghai General Hospital, Shanghai, China
| | - Yanfeng Fan
- Department of Ultrasound, Shanghai Jiao Tong University Affiliated 6th People's Hospital, Shanghai Institute of Ultrasound in Medicine, Shanghai, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China
- *Correspondence: Shouling Wu
| | - Jun Li
- Department of Cardiology, Shanghai General Hospital, Shanghai, China
- Jun Li
| | - Jiang Hong
- Department of Internal and Emergency Medicine, Shanghai General Hospital, Shanghai, China
- Jiang Hong
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Trajectories of metabolic risk factors during the development of type 2 diabetes in Chinese adults. DIABETES & METABOLISM 2022; 48:101348. [PMID: 35452819 DOI: 10.1016/j.diabet.2022.101348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 03/05/2022] [Accepted: 04/11/2022] [Indexed: 11/20/2022]
Abstract
AIMS China has the largest number of adults with diabetes. Although multiple metabolic risk factors (MRFs) are implicated in the development of diabetes, it remains unclear how they progress during the development of diabetes among Chinese. We examined trajectories of multiple MRFs among Chinese and identified the critical period when drastic changes occurred during the development of diabetes. METHODS This prospective cohort study included participants since 2006-2007 in the Kailuan study. People attended biennial examinations until 2017 with additions of new participants at each examination cycle. The time when a participant first completed the examination was designated as the baseline. A total of 122,659 participants without prevalent diabetes at baseline and with complete follow-up data were included. MRFs were collected via biennial physical examinations and laboratory measures. Incident diabetes cases were identified via biennial fasting glucose tests and self-reported physician-diagnosis. RESULTS During up to 12 years of follow-up, 14,922 incident diabetes cases were identified. Compared with participants who did not develop diabetes, those who developed diabetes had more adverse levels of most MRFs at baseline and during follow-up. Abrupt increases in multiple MRFs (including fasting glucose, surrogate insulin resistance indicators, lipids, systolic blood pressure, pulse pressure, heart rate, alanine aminotransferase, and C-reactive protein) were observed 3 years before the diagnosis of diabetes. CONCLUSIONS We identified 3 years before diabetes diagnosis as a critical period when multiple MRFs displayed drastic changes. This would have implications for early monitoring and timely prevention for individuals who experience sudden adverse progression of multiple MRFs.
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15
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Huang T, Wang W, Wang J, Lv J, Yu C, Guo Y, Pei P, Huang N, Yang L, Millwood IY, Walters RG, Chen Y, Du H, Su J, Chen J, Chen Z, Tang Y, Li L. Conventional and Bidirectional Genetic Evidence on Resting Heart Rate and Cardiometabolic Traits. J Clin Endocrinol Metab 2022; 107:e1518-e1527. [PMID: 34850013 DOI: 10.1210/clinem/dgab847] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Observational studies have suggested that higher resting heart rate (RHR) may be associated with increased cardiometabolic risk. However, causal associations are not fully understood. OBJECTIVE We aimed to examine the direction, strength, and causality of the associations of RHR with cardiometabolic traits. METHODS We assessed the strength of associations between measured RHR and cardiometabolic traits in 506 211 and 372 452 participants from China Kadoorie Biobank (CKB) and UK Biobank (UKB). Mendelian randomization (MR) analyses were used to make causal inferences in 99 228 and 371 508 participants from CKB and UKB, respectively. RESULTS We identified significant directionally concordant observational associations between RHR and higher total cholesterol, triglycerides (TG), low-density lipoprotein, C-reactive protein (CRP), glucose, body mass index, waist-hip ratio (WHR), systolic blood pressure (SBP), and diastolic blood pressure (DBP) after the Bonferroni correction. MR analyses showed that 10 beat/min higher genetically predicted RHR was trans-ethnically associated with a higher DBP (beta 2.059 [95% CI 1.544, 2.574] mmHg in CKB; 2.037 [1.845, 2.229] mmHg in UKB), higher CRP (0.180 [0.057, 0.303] log mg/L in CKB; 0.154 [0.134, 0.174] log mg/L in UKB), higher TG (0.052 [-0.009, 0.113] log mmol/L in CKB; 0.020 [0.010, 0.030] log mmol/L in UKB) and higher WHR (0.218 [-0.033, 0.469] % in CKB; 0.225 [0.111, 0.339] % in UKB). In the opposite direction, higher genetically predicted SBP, TG, glucose, and WHR, and lower high-density lipoprotein, were associated with elevated RHR. CONCLUSION Our large-scale analyses provide causal evidence for associations between RHR and cardiometabolic traits, highlighting the importance of monitoring heat rate as a means of alleviating the adverse effects of metabolic disorders.
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Affiliation(s)
- Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Wenxiu Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jingjia Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 102308, China
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ninghao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Iona Y Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Robin G Walters
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Jian Su
- Jiangsu CDC, Nanjing, Jiangsu 210009, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Yida Tang
- Department of Cardiology, Peking University Third Hospital, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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Wang C, Luo X, Tao B, Du W, Hou L, Chen S, Yang P, Wu S, Li Y. Association between fetal famine exposure and risk of type 2 diabetes: a prospective cohort study. Appl Physiol Nutr Metab 2022; 47:321-327. [PMID: 35166602 DOI: 10.1139/apnm-2021-0078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The objective of this study was to explore the effects of fetal experience of famine on the onset of type 2 diabetes mellitus (T2DM) in adults. The analysis included 16 594 participants from the Kailuan Study who were free of diabetes at baseline (2006). According to the date of birth, the individuals born on October 1, 1962 - September 30, 1964, were divided into the non-exposed group (used as the reference group), individuals born on October 1, 1959 - September 30, 1961, were divided into the fetal exposure group, and the early childhood exposure group included those born on October 1, 1956 - September 30, 1958. The cumulative incidence of T2DM for each group was calculated and compared among the 3 groups, and the Cox regression model was used to analyze the effects of fetal famine experience on the risk of diabetes. During a median 10.27 years (170 358 person-years) (2006-2017), 3509 incident T2DM cases were identified, with a cumulative incidence rate of 19.46%. The cumulative incidences of T2DM in the non-exposed, fetal exposure, and early childhood exposure groups were 17.38%, 20.85%, and 20.65%, respectively (P < 0.01). After adjusting for confounding factors, the hazard ratio (HR) of T2DM in the fetal exposure group was 1.222 (95% confidence interval: 1.087-1.374, P < 0.01), compared with the reference group. The association was modified by sex and hypertension (both P interaction less than 0.05). Fetal famine exposure may increase the risk of developing T2DM in adults. This association was more pronounced among women and those with hypertension. Novelty: The association was modified by sex and hypertension. Long follow-up time.
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Affiliation(s)
- Cun Wang
- School of Public Health, North China University of Science and Technology, Tangshan, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Xiaoyan Luo
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Boni Tao
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Wei Du
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Liying Hou
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Peng Yang
- Department of Neurosurgery, Affiliated Hospital of North China University of Science and Technology, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Yun Li
- School of Public Health, North China University of Science and Technology, Tangshan, China
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17
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Wu Y, Liu Q, Ma Y, Han X, Zhao X, Zhao H, Song M, Sun J, Wang X, Wu S. Effect of parental arterial stiffness in offspring: the Kailuan study. J Hypertens 2022; 40:102-107. [PMID: 34420014 DOI: 10.1097/hjh.0000000000002984] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The aim of this study was to examine effect of parental arterial stiffness in offspring. METHODS The individuals who participated in the second or subsequent follow-up and had parent-offspring relationship and completed measurements of brachial-ankle pulse wave velocity (baPWV) from the Kailuan study were recruited. The individuals were divided into groups by the 10-year intervals and sex. Arterial stiffness was defined as the 75th percentiles in each age category. Multivariable generalized estimating equations was used to analyse the effect of parental baPWV and blood pressure in offspring. Multivariable logistic regression using generalized estimating equations was used to analyse the effect of parental arterial stiffness in offspring. RESULTS A total of 4514 parents and offspring who met the inclusion criteria, including 1785 paternal offspring and 625 maternal offspring was recruited. Mean age of paternal offspring and maternal offspring were 36.26 (SD 7.86) and 36.42 (SD 7.57) years, while their mean baPWV were 1294.40 (SD 225.32) and 1270.74 (SD 241.42) cm/s, respectively. In multivariate linear regression analyses, after adjusted for the covariate risk factors, an increase of 1 cm/s in the paternal and maternal baPWV of resulted in an increase of 0.05 and 0.30 cm/s in offspring, respectively. In multivariate logistic regression analyses, the risk of arterial stiffness in the offspring of paternal and maternal arterial stiffness increased by 50 and 77%, respectively. CONCLUSION Paternal and maternal baPWV are linear positively correlated with baPWV in offspring. Parental arterial stiffness is a risk factor for arterial stiffness of offspring and is independent of traditional risk factors of offspring arterial stiffness.
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Affiliation(s)
- Yuntao Wu
- Department of Cardiology, Kailuan General Hospital
| | - Qian Liu
- Graduate School North China University of Science and Technology, Tangshan
| | - Yihan Ma
- Graduate School North China University of Science and Technology, Tangshan
| | - Xu Han
- Graduate School North China University of Science and Technology, Tangshan
| | | | - Haiyan Zhao
- Department of Cardiology, Kailuan General Hospital
| | - Mingzhu Song
- Department of Cardiology, Kailuan General Hospital
| | - Junyan Sun
- Department of Cardiology, Kailuan General Hospital
| | - Xingyu Wang
- Beijing Hypertension League Institute, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital
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Huang Z, Chen G, Wang X, Zang Y, Yue Q, Cai Z, Ding X, Chen Z, Cai Z, Wu K, Zheng H, Wu W, Wu S, Chen Y. The effect of acute aerobic exercise on arterial stiffness in individuals with different body fat percentages: A cross-sectional study. Front Cardiovasc Med 2022; 9:1072191. [PMID: 36712258 PMCID: PMC9874153 DOI: 10.3389/fcvm.2022.1072191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 12/29/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Body fat percentage were positively correlated with arterial stiffness, but the acute change in arterial stiffness after aerobic exercise in individuals with different body fat percentages remains unclear. This study was aimed to determine the effect of acute aerobic exercise on arterial stiffness in individuals with different body fat percentages. METHODS Individuals who both participated in the seventh survey of the Kailuan study and the fifth iteration of National Physical Fitness Monitoring were enrolled in our study. All participants underwent measurement of brachial-ankle pulse wave velocity, blood pressure, and heart rate before and after a two-stage load test on cycle ergometry. Additionally, the generalized linear model was established to analyse between-group differences of the change in brachial-ankle pulse wave velocity before and after exercise for individuals with different body fat percentages. RESULTS The participants (N = 940, 36.8 ± 7.7years old, all male) were divided into: Q1 10.0-19.3%, Q2 19.3-23.3%, Q3 23.3-27.1% and Q4 27.1-37.7% by body fat percentage quartile. Overall, after exercise, brachial-ankle pulse wave velocity decreased significantly (before, 1,375.1 ± 209.1; after, 1,341.5 ± 208.0cm/s; p < 0.01). After adjusting for confounding factors, the generalized linear model showed that the β values and 95% confidence interval (CI) of Q1, Q2 and Q3 groups were -38.1 (95% CI: -57.3, -19.0), -8.5 (95% CI: -25.8, 3.7),-3.7 (95% CI: -20.5, 13.0), respectively, when compared with Q4. For an increase in body fat percentage by one standard deviation (5.8%), β = 14.5 (95% CI: 7.3, 21.6). Similar results were obtained in sensitivity analyses. CONCLUSIONS Acute aerobic exercise had a positive effect on the arterial stiffness of adults with different body fat percentages. Compared with individuals with high body fat percentages, the arterial stiffness of people with low body fat percentages had significant reduction after exercise.
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Affiliation(s)
- Zegui Huang
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Guanzhi Chen
- Second Clinical College, China Medical University, Shenyang, China
| | - Xianxuan Wang
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yiran Zang
- Graduate School, North China University of Science and Technology, Tangshan, China
| | - Qing Yue
- Graduate School, North China University of Science and Technology, Tangshan, China
| | - Zefeng Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xiong Ding
- School of Public Health, Wuhan University, Wuhan, China
| | - Zekai Chen
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Zhiwei Cai
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Kuangyi Wu
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Huancong Zheng
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
- *Correspondence: Shouling Wu ✉
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
- Youren Chen ✉
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Liu X, Zhang W, Zhang Q, Chen L, Zeng T, Zhang J, Min J, Tian S, Zhang H, Huang H, Wang P, Hu X, Chen L. Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study. Front Endocrinol (Lausanne) 2022; 13:1043919. [PMID: 36518245 PMCID: PMC9742532 DOI: 10.3389/fendo.2022.1043919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/11/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality, and socioeconomic burden. Machine learning (ML) has excellent capability to maximize predictive accuracy. We aim to develop ML-augmented models for diabetes screening in community and primary care settings. METHODS 8425 participants were involved from a population-based study in Hubei, China since 2011. The dataset was split into a development set and a testing set. Seven different ML algorithms were compared to generate predictive models. Non-laboratory features were employed in the ML model for community settings, and laboratory test features were further introduced in the ML+lab models for primary care. The area under the receiver operating characteristic curve (AUC), area under the precision-recall curve (auPR), and the average detection costs per participant of these models were compared with their counterparts based on the New China Diabetes Risk Score (NCDRS) currently recommended for diabetes screening. RESULTS The AUC and auPR of the ML model were 0·697and 0·303 in the testing set, seemingly outperforming those of NCDRS by 10·99% and 64·67%, respectively. The average detection cost of the ML model was 12·81% lower than that of NCDRS with the same sensitivity (0·72). Moreover, the average detection cost of the ML+FPG model is the lowest among the ML+lab models and less than that of the ML model and NCDRS+FPG model. CONCLUSION The ML model and the ML+FPG model achieved higher predictive accuracy and lower detection costs than their counterpart based on NCDRS. Thus, the ML-augmented algorithm is potential to be employed for diabetes screening in community and primary care settings.
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Affiliation(s)
- XiaoHuan Liu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Weiyue Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Qiao Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Long Chen
- Department of Computer Science and Technology, Tsinghua University, Beijing, China
| | - TianShu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - JiaoYue Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Jie Min
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - ShengHua Tian
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Hao Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | | | - Ping Wang
- Precision Health Program, Department of Radiology, College of Human Medicine, Michigan State University, East Lansing, MI, United States
| | - Xiang Hu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
- *Correspondence: LuLu Chen, ; Xiang Hu,
| | - LuLu Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
- *Correspondence: LuLu Chen, ; Xiang Hu,
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Chen H, Chen G, Zhang L, Wu W, Li W, Wang X, Yan X, Chen Y, Wu S. Estimated pulse wave velocity can predict the incidence of new-onset atrial fibrillation: A 11-year prospective study in a Chinese population. Front Cardiovasc Med 2022; 9:912573. [PMID: 36072866 PMCID: PMC9443485 DOI: 10.3389/fcvm.2022.912573] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 07/26/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Arterial stiffness, a risk factor for atrial fibrillation (AF), is rarely applied in clinical practice because of the difficulty and high cost of its measurement. Estimated pulse wave velocity (ePWV) is a simple, reproducible, and non-invasive index of arterial stiffness. This study was to assess the predictive value of ePWV for the risk of new-onset AF. METHODS Subjects were selected from the Kailuan cohort study population who underwent initial physical examination between 2006 and 2008. A total of 96,561 subjects were ultimately included in the final analysis. ePWV was divided into four groups according to quartiles. The Kaplan-Meier method was used to calculate the cumulative incidence of AF. A Cox regression model was used to assess the predictive value of estimated arterial stiffness for new-onset AF. RESULTS Mean age of subjects was 51.47 ± 9.68 years, while 76,968 (79.65%) were male and 19,663 (20.35%) were female. During mean follow-up period of 11.77 years, 1,215 AF events occurred. Results of the Kaplan-Meier analysis showed that the incidence of new-onset AF increased with increase in ePWV. Cox regression analysis showed that in the total population, the incidence of new-onset AF was 1.64, 1.90, and 2.64 times higher in the medium, medium-high, and high ePWV groups, respectively, compared with the low ePWV group. When stratified according to sex, ePWV had higher predictive value in the female population. CONCLUSIONS Increased ePWV increases the incidence of new-onset AF, and may promote application of more aggressive primary prevention. TRIAL REGISTRY NAME Risk factors and intervention for cardiology, cerebrovascular and related disease (Kailuan Study); URL: http://www.chictr.org.cn/showproj.aspx?proj=8050; Registration number: ChiCTR-TNRC-11001489.
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Affiliation(s)
- Haojia Chen
- Shantou University Medical College, Shantou, China
- Department of Cardiology, First Hospital of Medical College of Shantou University, Shantou, China
| | | | - Liling Zhang
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Weijian Li
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xianxuan Wang
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xiuzhu Yan
- School of Foreign Language, Guangdong Polytechnic Normal University, Guangzhou, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
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Chen H, Wu W, Fang W, Chen Z, Yan X, Chen Y, Wu S. Does an increase in estimated pulse wave velocity increase the incidence of hypertension? J Hypertens 2021; 39:2388-2394. [PMID: 34261958 DOI: 10.1097/hjh.0000000000002945] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE As a risk indicator of hypertension, arterial stiffness is difficult to measure. Thus, we aimed to evaluate the association between estimated pulse wave velocity (ePWV) as a convenient indicator and the incidence of hypertension. METHODS The Kailuan cohort was selected for statistical analysis and 54 849 individuals were included in the final cohort. Multiple linear regression was used to analyse the correlation between ePWV and mean SBP (SBP_m) measured at five time points over a 10-year period and between ePWV and mean DBP (DBP_m) measured at five time points over a 10-year period. Logistic regression was used to analyse the effect of estimated arterial stiffness on hypertension. RESULTS The mean age of individuals was 48.44 ± 9.32 years, and 41 419 individuals (75.51%) were male. A multiple linear regression analysis showed that ePWV was positively correlated with both SBP_m and DBP_m. For every 1 cm/s increase in ePWV, SBP_m and DBP_m increased by 5.60 and 2.12 mmHg, respectively. A logistic regression analysis showed that in the total cohort, the incidence of hypertension in populations with moderate, moderate-high and high ePWV values was 3.03, 5.44 and 7.87-times higher, respectively, compared with individuals with low ePWV values. ePWV had a higher predictive value in female and middle age population compared with male and the eldly population grouped by sex and age respectively. CONCLUSION ePWV positively correlates with both SBP_m and DBP_m, and an increase in ePWV is associated with an increase in the incidence of hypertension.
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Affiliation(s)
- Haojia Chen
- Shantou University Medical College
- Department of Cardiology, First Hospital of Medical College of Shantou University
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong
| | - Wei Fang
- Shantou University Medical College
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong
| | - Zhichao Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong
| | - Xiuzhu Yan
- School of Foreign Language, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan
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Wu M, Shu Y, Wang L, Song L, Chen S, Liu Y, Bi J, Li D, Yang Y, Hu Y, Sun Y, Wang Y, Wu S, Tian Y. Visit-to-visit variability in the measurements of metabolic syndrome components and the risk of all-cause mortality, cardiovascular disease, and arterial stiffness. Nutr Metab Cardiovasc Dis 2021; 31:2895-2903. [PMID: 34420814 DOI: 10.1016/j.numecd.2021.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 07/05/2021] [Accepted: 07/05/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIMS The risk of adverse health conditions varied according to the number of metabolic syndrome components. We aimed to evaluate the risk of mortality and incident cardiovascular events according to the number of components with high variability. METHODS AND RESULTS A total of 43,737 Kailuan Study participants with ≥3 examinations of waist circumference, fasting blood glucose, systolic blood pressure, triglyceride, and high-density lipoprotein during 2006-2013 were included in the present study. Visit-to-visit variability in each parameter was defined by the intraindividual standard deviation across visits. High variability was defined as the highest quartile of variability. Participants were classified numerically according to the number of high-variability components (e.g., a score of 0 indicated no high-variability component). There were 1551 deaths during a median follow-up of 5.9 years, and 950 incident cardiovascular disease (CVD) cases during a median follow-up of 4.9 years. In the multivariable adjusted model, compared with participants with low variability for all components, participants with ≥3 high-variability components had significantly higher risks for all-cause mortality (hazards ratio [HR], 1.61; 95 % confidence interval [CI], 1.35-1.91) and incident CVD event (HR, 1.45; 95 % CI, 1.16-1.82). Additionally, participants with ≥3 high-variability components had increased odds of arterial stiffness, as measured by brachia-ankle pulse wave velocity (odds ratio [OR], 1.39; 95 % CI, 1.19-1.63). CONCLUSIONS Our findings suggest that participants with at least three metabolic parameters with high variability experienced increased risk of CVD and all-cause mortality.
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Affiliation(s)
- Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Yanling Shu
- Department of Laboratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.100 Hong Kong Road, Wuhan, Hubei, 430016, China
| | - Lulin Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, No.57 Xinhua East Road, Tangshan City, 063001, China
| | - Yunyun Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Jianing Bi
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Dankang Li
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Yingping Yang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Beijing, 100191, China
| | - Yu Sun
- Department of Otorhinolaryngology, Union hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, No.57 Xinhua East Road, Tangshan City, 063001, China.
| | - Yaohua Tian
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China.
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23
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An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods. Artif Intell Rev 2021. [DOI: 10.1007/s10462-021-10040-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Wang Q, Liu L, Jonas JB, Gao B, Wu SL, Chen SH, Yan YN, Yang JY, Zhou WJ, Yang MC, Chan SY, Zhang L, Wei WB, Wang YX. Albuminuria and retinal vessel density in diabetes without diabetic retinopathy: the Kailuan Eye Study. Acta Ophthalmol 2021; 99:e669-e678. [PMID: 33354932 DOI: 10.1111/aos.14670] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 10/05/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Diabetic retinopathy and chronic kidney disease are both major complications of diabetes mellitus. We explored the relationship between retinal vessel density (VD) and albuminuria in diabetic patients without conventionally defined diabetic retinopathy. METHODS The cross-sectional community-based Kailuan Diabetic Retinopathy Study included patients with type 2 diabetes without diabetic retinopathy who participated in the community-based longitudinal Kailuan study and who had undergone ocular fundus photography, kidney function assessment, and optical coherence tomographic angiography (OCT-angiography) for the assessment the retinal perfusion density (PD) and retinal VD. RESULTS The study included 447 patients (mean age: 60.9 ± 9.7 years). Higher PD and VD were associated with a lower urinary albumin-creatinine ratio (uACR) (macular region: p = 0.007: standardized regression coefficient beta: -0.14; and p = 0.008, beta: -0.13, respectively; parafoveal region: p = 0.006, beta: -0.14; and p = 0.007, beta: -0.14, respectively) after adjusting for age and ocular axial length. In a reverse manner, higher uACR was associated with lower PD and VD (macular region: p = 0.009, beta: -0.14; and p = 0.01, beta: -0.14, respectively; parafoveal region: p = 0.008, beta: -0.14; and p = 0.01, beta: -0.14, respectively), after adjusting for diabetes duration, blood pressure, serum concentration of C-reactive protein and high-density lipoprotein cholesterol and ocular axial length. In a multivariable model, the prevalence of macroalbuminuria increased by 11% (95% CI: 2%, 18%) and 17% (95% CI: 3%, 30%), respectively, for each mm-1 decrease in VD and each unit decrease in PD. CONCLUSIONS AND RELEVANCE After adjusting for systemic and ocular parameters, diabetic patients without diabetic retinopathy showed a reduction in OCT-angiographic retinal vascular measurements in association with systemic parameters indicating chronic kidney disease. Optical coherence tomographic (OCT)-angiographic retinal microvascular parameters may serve as markers for chronic kidney disease.
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Affiliation(s)
- Qian Wang
- Beijing Ophthalmology and Visual Science Key Lab Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical University Beijing China
| | - Lili Liu
- Renal Division Department of Medicine Peking University First Hospital Beijing China
| | - Jost B. Jonas
- Department of Ophthalmology Medical Faculty Mannheim of the Ruprecht‐Karis‐University Mannheim Germany
| | - Bixia Gao
- Renal Division Department of Medicine Peking University First Hospital Beijing China
| | - Shou Ling Wu
- Cardiology Department Kailuan General Hospital Tangshan China
| | | | - Yan Ni Yan
- Beijing Ophthalmology and Visual Science Key Lab Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical University Beijing China
| | - Jing Yan Yang
- Beijing Ophthalmology and Visual Science Key Lab Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical University Beijing China
| | - Wen Jia Zhou
- Beijing Ophthalmology and Visual Science Key Lab Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical University Beijing China
| | - Mo Chi Yang
- Department of Ophthalmology General Hospital of Ningxia Medical University Ningxia China
| | - Szy Yann Chan
- Department of Ophthalmology Peking University Third Hospital Beijing China
| | - Luxia Zhang
- Renal Division Department of Medicine Peking University First Hospital Beijing China
- National Institute of Health Data Science at Peking University Beijing China
| | - Wen Bin Wei
- Beijing Ophthalmology and Visual Science Key Lab Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical University Beijing China
| | - Ya Xing Wang
- Beijing Ophthalmology and Visual Science Key Lab Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical University Beijing China
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Lin CS, Lee YT, Fang WH, Lou YS, Kuo FC, Lee CC, Lin C. Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study. J Pers Med 2021; 11:725. [PMID: 34442369 PMCID: PMC8398464 DOI: 10.3390/jpm11080725] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/21/2021] [Accepted: 07/26/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND glycated hemoglobin (HbA1c) provides information on diabetes mellitus (DM) management. Electrocardiography (ECG) is a noninvasive test of cardiac activity that has been determined to be related to DM and its complications. This study developed a deep learning model (DLM) to estimate HbA1c via ECG. METHODS there were 104,823 ECGs with corresponding HbA1c or fasting glucose which were utilized to train a DLM for calculating ECG-HbA1c. Next, 1539 cases from outpatient departments and health examination centers provided 2190 ECGs for initial validation, and another 3293 cases with their first ECGs were employed to analyze its contributions to DM management. The primary analysis was used to distinguish patients with and without mild to severe DM, and the secondary analysis was to explore the predictive value of ECG-HbA1c for future complications, which included all-cause mortality, new-onset chronic kidney disease (CKD), and new-onset heart failure (HF). RESULTS we used a gender/age-matching strategy to train a DLM to achieve the best AUCs of 0.8255 with a sensitivity of 71.9% and specificity of 77.7% in a follow-up cohort with correlation of 0.496 and mean absolute errors of 1.230. The stratified analysis shows that DM presented in patients with fewer comorbidities was significantly more likely to be detected by ECG-HbA1c. Patients with higher ECG-HbA1c under the same Lab-HbA1c exhibited worse physical conditions. Of interest, ECG-HbA1c may contribute to the mortality (gender/age adjusted hazard ratio (HR): 1.53, 95% conference interval (CI): 1.08-2.17), new-onset CKD (HR: 1.56, 95% CI: 1.30-1.87), and new-onset HF (HR: 1.51, 95% CI: 1.13-2.01) independently of Lab-HbA1c. An additional impact of ECG-HbA1c on the risk of all-cause mortality (C-index: 0.831 to 0.835, p < 0.05), new-onset CKD (C-index: 0.735 to 0.745, p < 0.01), and new-onset HF (C-index: 0.793 to 0.796, p < 0.05) were observed in full adjustment models. CONCLUSION the ECG-HbA1c could be considered as a novel biomarker for screening DM and predicting the progression of DM and its complications.
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Affiliation(s)
- Chin-Sheng Lin
- Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No 325, Section 2, Cheng-Kung Rd., Neihu, Taipei 114, Taiwan;
| | - Yung-Tsai Lee
- Division of Cardiovascular Surgery, Cheng Hsin Rehabilitation and Medical Center, No 45, Cheng Hsin St., Beitou, Taipei 112, Taiwan;
| | - Wen-Hui Fang
- Department of Family and Community Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No 325, Section 2, Cheng-Kung Rd., Neihu, Taipei 114, Taiwan;
| | - Yu-Sheng Lou
- Graduate Institute of Life Sciences, National Defense Medical Center, No.161, Section 6, Min-Chun E. Rd., Neihu, Taipei 114, Taiwan;
- School of Public Health, National Defense Medical Center, No.161, Section 6, Min-Chun E. Rd., Neihu, Taipei 114, Taiwan
| | - Feng-Chih Kuo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, No 325, Section 2, Cheng-Kung Rd., Neihu, Taipei 114, Taiwan;
| | - Chia-Cheng Lee
- Department of Medical Informatics, Tri-Service General Hospital, National Defense Medical Center, No 325, Section 2, Cheng-Kung Rd., Neihu, Taipei 114, Taiwan;
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, No 325, Section 2, Cheng-Kung Rd., Neihu, Taipei 114, Taiwan
| | - Chin Lin
- Graduate Institute of Life Sciences, National Defense Medical Center, No.161, Section 6, Min-Chun E. Rd., Neihu, Taipei 114, Taiwan;
- School of Public Health, National Defense Medical Center, No.161, Section 6, Min-Chun E. Rd., Neihu, Taipei 114, Taiwan
- Medical Technology Education Center, School of Medicine, National Defense Medical Center, No.161, Section 6, Min-Chun E. Rd., Neihu, Taipei 114, Taiwan
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Wang W, Wang J, Lv J, Yu C, Shao C, Tang Y, Guo Y, Bian Z, Du H, Yang L, Millwood IY, Walters RG, Chen Y, Chang L, Fan L, Chen J, Chen Z, Huang T, Li L. Association of heart rate and diabetes among 0.5 million adults in the China Kadoorie biobank: Results from observational and Mendelian randomization analyses. Nutr Metab Cardiovasc Dis 2021; 31:2328-2337. [PMID: 34052074 DOI: 10.1016/j.numecd.2021.04.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 04/06/2021] [Accepted: 04/16/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIMS Observational studies have associated resting heart rate with incident diabetes. Whether the associations are causal remains unclear. We aimed to examine the shape and strength of the associations and assessed the causal relevance of such associations in Chinese adults. METHODS AND RESULTS The China Kadoorie Biobank enrolled 512,891 adults in China. Cox proportional hazard regression models was conducted to estimate hazard ratios (HRs) for the associations of resting heart rate with type 2 diabetes and total diabetes. Among 92,724 participants, 36 single-nucleotide polymorphisms (SNPs) related to resting heart rate were used to construct genetic risk score. We used Mendelian randomization analyses to make the causal inferences. During a median follow-up of 9 years, 7872 incident type 2 diabetes and 13,349 incident total diabetes were documented. After regression dilution bias adjustment, each 10 bpm higher heart rate was associated with about a 26% higher risk of type 2 diabetes (HR, 1.26 [95% CI, 1.23, 1.29]) and 23% higher risk of total diabetes (HR, 1.23 [95% CI, 1.20, 1.26]). Instrumental variable analyses showed participants at top quintile compared with those at bottom quintile had 30% higher risk for type 2 diabetes (HR, 1.30 [95% CI, 1.17, 1.43]), and 10% higher risk for total diabetes (HR, 1.10 [95% CI, 1.02, 1.20]). CONCLUSIONS This study provides evidence that resting heart rate is an important risk factor for diabetes risk. The results suggest that novel treatment approaches targeting reduction of high heart rate for incidence of diabetes may be worth further investigation.
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Affiliation(s)
- Wenxiu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jingjia Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Chunli Shao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yida Tang
- Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Iona Y Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Robin G Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Liang Chang
- NCDs Prevention and Control Department, Henan CDC, Henan, China
| | - Lei Fan
- NCDs Prevention and Control Department, Henan CDC, Henan, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
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Wu Z, Huang Z, Lichtenstein AH, Liu Y, Chen S, Jin Y, Na M, Bao L, Wu S, Gao X. The risk of ischemic stroke and hemorrhagic stroke in Chinese adults with low-density lipoprotein cholesterol concentrations < 70 mg/dL. BMC Med 2021; 19:142. [PMID: 34130689 PMCID: PMC8207613 DOI: 10.1186/s12916-021-02014-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 05/20/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The risk of stroke in individuals with very low low-density lipoprotein cholesterol (LDL-C) concentrations remains high. We sought to prioritize predictive risk factors for stroke in Chinese participants with LDL-C concentrations < 70 mg/dL using a survival conditional inference tree, a machine learning method. METHODS The training dataset included 9327 individuals with LDL-C concentrations < 70 mg/dL who were free of cardiovascular diseases and did not use lipid-modifying drugs from the Kailuan I study (N = 101,510). We examined the validity of this algorithm in a second Chinese cohort of 1753 participants with LDL-C concentrations < 70 mg/dL from the Kailuan II study (N = 35,856). RESULTS During a mean 8.5-9.0-year follow-up period, we identified 388 ischemic stroke cases and 145 hemorrhagic stroke cases in the training dataset and 20 ischemic stroke cases and 8 hemorrhagic stroke cases in the validation dataset. Of 15 examined predictors, poorly controlled blood pressure and very low LDL-C concentrations (≤ 40 mg/dL) were the top hierarchical predictors of both ischemic stroke risk and hemorrhagic stroke risk. The groups, characterized by the presence of 2-3 of aforementioned risk factors, were associated with a higher risk of ischemic stroke (hazard ratio (HR) 7.03; 95% confidence interval (CI) 5.01-9.85 in the training dataset; HR 4.68, 95%CI 1.58-13.9 in the validation dataset) and hemorrhagic stroke (HR 3.94, 95%CI 2.54-6.11 in the training dataset; HR 4.73, 95%CI 0.81-27.6 in the validation dataset), relative to the lowest risk groups (presence of 0-1 of these factors). There was a linear association between cumulative average LDL-C concentrations and stroke risk. LDL-C concentrations ≤ 40 mg/dL was significantly associated with increased risk of ischemic stroke (HR 2.07, 95%CI 1.53, 2.80) and hemorrhagic stroke (HR 2.70, 95%CI 1.70, 4.30) compared to LDL-C concentrations of 55-70 mg/dL, after adjustment for age, hypertension status, and other covariates. CONCLUSION Individuals with extremely low LDL-C concentrations without previous lipid-modifying treatment could still be at high stroke risk. TRIAL REGISTRATION Chinese Clinical Trial Register, ChiCTR-TNRC-11001489 . Registered on 24-08-2011.
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Affiliation(s)
- Zhijun Wu
- Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China
| | - Zhe Huang
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, People's Republic of China
| | - Alice H Lichtenstein
- Cardiovascular Nutrition Laboratory, JM USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Yesong Liu
- Department of Neurology, Kailuan General Hospital, Tangshan, People's Republic of China
| | - Shuohua Chen
- Health Care Center, Kailuan Medical Group, Tangshan, People's Republic of China
| | - Yao Jin
- Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China
| | - Muzi Na
- Department of Nutritional Sciences, The Pennsylvania State University, State College, PA, USA
| | - Le Bao
- Department of Statistics, The Pennsylvania State University, 109 Chandlee Lab, State College, University Park, PA, 16802, USA
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, People's Republic of China.
| | - Xiang Gao
- Department of Nutritional Sciences, The Pennsylvania State University, State College, PA, USA.
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Wang Q, Yang J, Jonas JB, Shi X, Wu S, Chen S, Yan Y, Zhou W, Dong L, Wei W, Wang YX. Prevalence of Retinal Vein Occlusions and Estimated Cerebrospinal Fluid Pressure: The Kailuan Eye Study. Eye Brain 2021; 13:147-156. [PMID: 34045911 PMCID: PMC8149277 DOI: 10.2147/eb.s290107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/23/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose To investigate the prevalence of retinal vein occlusions (RVOs) and associated factors in a Chinese population. Patients and Methods The cross-sectional community-based Kailuan Eye Study included individuals who participated in the Kailuan Study. RVOs were diagnosed on the fundus photographs. Estimated cerebrospinal fluid pressure (eCSFP) was calculated as “eCSFP=0.44*Body Mass Index+0.16*Diastolic Blood Pressure-0.18*Age”. Results The study included 12,499 participants with a mean age of 52.9±13.1 years. The overall prevalence of RVO was 120/12,499 or 0.96%, with branch RVOs observed in 116/12,499 individuals and central RVOs in 4/12,499 individuals. RVOs started at the optic disc in 19 participants (15.8% of all RVOs), and in 101 (84.2%) individuals arterio-venous crossings outside the optic disc. In multivariable analysis, a higher RVO prevalence was associated with older age (P<0.001), higher eCSFP (P<0.001), and higher fasting serum glucose concentration (P<0.001). Differentiating between RVOs at arterio-venous crossings and RVOs at the optic disc revealed that the prevalence of both RVO types was associated with higher eCSFP (P<0.001 and P=0.004, respectively) after adjusting for age and fasting serum glucose concentration. Conclusion In this adult Chinese population recruited on a community basis, the prevalence of any RVO (mean: 0.96) was associated with older age, higher eCSFP and higher fasting serum glucose concentration. Higher eCSFP may play an etiologic role in RVOs.
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Affiliation(s)
- Qian Wang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jingyan Yang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim of the Ruprecht-Karis-University, Mannheim, Germany
| | - Xuehui Shi
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Shouling Wu
- Cardiology Department, Kailuan General Hospital, Tangshan, People's Republic of China
| | - Shuohua Chen
- Health Care Center, Kailuan Group, Tangshan, People's Republic of China
| | - Yanni Yan
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wenjia Zhou
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Li Dong
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wenbin Wei
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology and Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
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Li L, Zhu H, Zhang Z, Zhao L, Xu L, Jonas RA, Garway-Heath DF, Jonas JB, Wang YX. Neural Network-Based Retinal Nerve Fiber Layer Profile Compensation for Glaucoma Diagnosis in Myopia: Model Development and Validation. JMIR Med Inform 2021; 9:e22664. [PMID: 34003137 PMCID: PMC8170554 DOI: 10.2196/22664] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/17/2020] [Accepted: 04/13/2021] [Indexed: 01/27/2023] Open
Abstract
Background Due to the axial elongation–associated changes in the optic nerve and retina in high myopia, traditional methods like optic disc evaluation and visual field are not able to correctly differentiate glaucomatous lesions. It has been clinically challenging to detect glaucoma in highly myopic eyes. Objective This study aimed to develop a neural network to adjust for the dependence of the peripapillary retinal nerve fiber layer (RNFL) thickness (RNFLT) profile on age, gender, and ocular biometric parameters and to evaluate the network’s performance for glaucoma diagnosis, especially in high myopia. Methods RNFLT with 768 points on the circumferential 3.4-mm scan was measured using spectral-domain optical coherence tomography. A fully connected network and a radial basis function network were trained for vertical (scaling) and horizontal (shift) transformation of the RNFLT profile with adjustment for age, axial length (AL), disc-fovea angle, and distance in a test group of 2223 nonglaucomatous eyes. The performance of RNFLT compensation was evaluated in an independent group of 254 glaucoma patients and 254 nonglaucomatous participants. Results By applying the RNFL compensation algorithm, the area under the receiver operating characteristic curve for detecting glaucoma increased from 0.70 to 0.84, from 0.75 to 0.89, from 0.77 to 0.89, and from 0.78 to 0.87 for eyes in the highest 10% percentile subgroup of the AL distribution (mean 26.0, SD 0.9 mm), highest 20% percentile subgroup of the AL distribution (mean 25.3, SD 1.0 mm), highest 30% percentile subgroup of the AL distribution (mean 24.9, SD 1.0 mm), and any AL (mean 23.5, SD 1.2 mm), respectively, in comparison with unadjusted RNFLT. The difference between uncompensated and compensated RNFLT values increased with longer axial length, with enlargement of 19.8%, 18.9%, 16.2%, and 11.3% in the highest 10% percentile subgroup, highest 20% percentile subgroup, highest 30% percentile subgroup, and all eyes, respectively. Conclusions In a population-based study sample, an algorithm-based adjustment for age, gender, and ocular biometric parameters improved the diagnostic precision of the RNFLT profile for glaucoma detection particularly in myopic and highly myopic eyes.
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Affiliation(s)
- Lei Li
- State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China.,Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing, China
| | - Haogang Zhu
- State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China.,NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology, London, United Kingdom
| | - Zhenyu Zhang
- State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China
| | - Liang Zhao
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing, China
| | - Liang Xu
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing, China
| | - Rahul A Jonas
- Department of Ophthalmology, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - David F Garway-Heath
- NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology, London, United Kingdom
| | - Jost B Jonas
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing, China.,Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing, China
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Zhang Q, Ma X, Xing J, Shi H, Yang R, Jiao Y, Chen S, Wu S, Zhang S, Sun X. Serum Uric Acid Is a Mediator of the Association Between Obesity and Incident Nonalcoholic Fatty Liver Disease: A Prospective Cohort Study. Front Endocrinol (Lausanne) 2021; 12:657856. [PMID: 34054728 PMCID: PMC8158156 DOI: 10.3389/fendo.2021.657856] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/19/2021] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE Obesity has been demonstrated to show a consistent link with the increased possibility of nonalcoholic fatty liver disease (NAFLD). Since both serum uric acid (SUA) and obesity are essential components of metabolic syndrome (MetS), it is uncertain whether the incidence of NAFLD results from serum uric acid, obesity, or other potential factors based on previous studies. PATIENTS AND METHODS This study enrolled 16,839 participants with no history of alcohol consumption and no fatty liver disease in 2010. All participants completed a survey which included health and lifestyle questionnaires, and underwent physical examination, ultrasonography, and laboratory examinations of blood samples. After the four-year follow up, 5,104 (30.31%) participants were diagnosed with NAFLD. The associations between SUA, BMI or obesity, and incident NAFLD were assessed by multivariate linear regression, logistic regression analysis, and mediation analysis, respectively. RESULTS By adjusting demographic and serum characteristics, linear correlation coefficients between obesity and SUA were 20.26 [95% confidence interval (CI)]: 15.74, 24.77), 13.31 (95% CI: 6.63, 19.99) and 22.21 (95% CI: 16.41, 28.02) in the total population, and in the female and male groups, respectively. The odds ratios were 2.49 (95% CI: 1.61, 3.87) in the total population, 5.71 (95% CI: 2.25, 14.45) in the female group and 1.99 (95% CI: 1.15, 3.45) in the male group for the correlation between obesity and incident NAFLD. The mediation analysis showed that SUA contributed to 10.03%, 0.58%, and 12.54% of obesity-related NAFLD development in the total population, females and males, respectively. CONCLUSION The findings showed mediation linkages of both obesity and SUA with the incident NAFLD. The role of SUA as a mediator constitutes clinical significance that should be recognized and considered.
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Affiliation(s)
- Qian Zhang
- Department of Gastroenterology, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, China
- Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiaoqian Ma
- Department of Gastroenterology, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, China
| | - Jie Xing
- Department of Gastroenterology, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, China
| | - Haiyun Shi
- Department of Gastroenterology, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, China
| | - Runkuan Yang
- Department of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Yue Jiao
- Department of Gastroenterology, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Shouling Wu
- Department of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Shutian Zhang
- Department of Gastroenterology, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, China
| | - Xiujing Sun
- Department of Gastroenterology, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, China
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Abstract
OBJECTIVE Among the risk factors of stroke, hypertension was one of the most important and modifiable factors. The current study aimed to assess whether antihypertensive treatment to ideal levels of blood pressure can eliminate stroke risk in a prospective cohort study. METHODS The Kailuan study was a prospective longitudinal cohort study on stroke risk factors and events. We analyzed association of baseline antihypertensive treatment efficacy with the risk of stroke during 11.0-year follow-up, and further evaluated association of newly antihypertensive treatment efficacy at 4-year follow-up with subsequent stroke. Multivariate Cox proportion models were used to calculated hazard ratios and their 95% confidence intervals (CIs) for stroke. RESULTS A total of 97 772 participants (median age: 51.65 years) without previous stroke were included. At baseline, 55 518 participants had normotension, 2339 treated and controlled, 32 331 untreated hypertension and 7584 treated but uncontrolled. Compared with normotension, individuals with treated and controlled, untreated hypertension and treated but uncontrolled, had 83, 97 and 162% higher risk of developing total stroke after adjusting for potential stroke risk factors, respectively (hazard ratio 1.83 [95% CI 1.56-2.15], 1.97 [95% CI 1.85-2.11] and 2.62 [95% CI 2.40-2.86]; all P < 0.05). Whereas, normotension at baseline, who were newly normotension with antihypertensives at 4-year follow-up, exhibited no elevated total stroke risk (hazard ratio, 1.41 [95% CI 0.87-2.30]). Similar results existed for stroke subtypes (ischemic stroke and hemorrhagic stroke). CONCLUSION The data suggest that, antihypertensive treatment to normotensive individuals can reduce stroke risk in a short time.
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VanEvery H, Yang WH, Olsen N, Zhang X, Shu R, Lu B, Wu S, Cui L, Gao X. In Utero and Early Life Exposure to the Great Chinese Famine and Risk of Rheumatoid Arthritis in Adulthood. Arthritis Rheumatol 2021; 73:596-603. [PMID: 33258552 DOI: 10.1002/art.41601] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 11/24/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To investigate whether early life exposure to the Great Chinese Famine of 1959-1961 is associated with the risk of RA development in adulthood. METHODS This study included 101,510 participants who were enrolled in the Kailuan Study in 2006. RA cases were confirmed by medical record review. Logistic regression was used to calculate the odds ratio (OR) and 95% confidence interval (95% CI) for RA according to famine exposure status (exposed in utero or between ages 0 and 3 years, between ages 3 and 6 years, or at age 6 years or older), in comparison to participants born after 1961 who were not exposed to famine. RESULTS During 12 years of follow-up (2006-2018), we identified 187 RA cases. Individuals exposed to famine in utero or between ages 0 and 3 years had a higher prevalence of RA relative to other groups (0.2-0.35% versus 0.08-0.20%). After adjustment for potential confounders, the OR for RA was 2.95 (95% CI 1.55-5.59) for individuals exposed in utero, 4.53 (95% CI 2.72-7.54) for those exposed between ages 0 and 3 years, 2.55 (95% CI 1.43-4.57) for those exposed between ages 3 and 6 years, and 2.72 (95% CI 1.70-4.36) for those exposed at age 6 years or older versus individuals born after 1961. Similar associations with the risk of RA were observed for men and women when subjects were stratified by sex (P for interaction = 0.89). CONCLUSION Individuals exposed to famine in utero or in early childhood (between ages 0 and 3 years) were more likely to develop RA in adulthood, highlighting the importance of early life as a vulnerable developmental period.
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Affiliation(s)
| | | | - Nancy Olsen
- Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania
| | | | - Rong Shu
- Kailuan General Hospital, Tangshan, China
| | - Bing Lu
- Harvard Medical School, Boston, Massachusetts
| | | | - Liufu Cui
- Kailuan General Hospital, Tangshan, China
| | - Xiang Gao
- Pennsylvania State University, State College
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A tongue features fusion approach to predicting prediabetes and diabetes with machine learning. J Biomed Inform 2021; 115:103693. [PMID: 33540076 DOI: 10.1016/j.jbi.2021.103693] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/27/2021] [Accepted: 01/28/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Diabetics has become a serious public health burden in China. Multiple complications appear with the progression of diabetics pose a serious threat to the quality of human life and health. We can prevent the progression of prediabetics to diabetics and delay the progression to diabetics by early identification of diabetics and prediabetics and timely intervention, which have positive significance for improving public health. OBJECTIVE Using machine learning techniques, we establish the noninvasive diabetics risk prediction model based on tongue features fusion and predict the risk of prediabetics and diabetics. METHODS Applying the type TFDA-1 Tongue Diagnosis Instrument, we collect tongue images, extract tongue features including color and texture features using TDAS, and extract the advanced tongue features with ResNet-50, achieve the fusion of the two features with GA_XGBT, finally establish the noninvasive diabetics risk prediction model and evaluate the performance of testing effectiveness. RESULTS Cross-validation suggests the best performance of GA_XGBT model with fusion features, whose average CA is 0.821, the average AUROC is 0.924, the average AUPRC is 0.856, the average Precision is 0.834, the average Recall is 0.822, the average F1-score is 0.813. Test set suggests the best testing performance of GA_XGBT model, whose average CA is 0.81, the average AUROC is 0.918, the average AUPRC is 0.839, the average Precision is 0.821, the average Recall is 0.81, the average F1-score is 0.796. When we test prediabetics with GA_XGBT model, we find that the AUROC is 0.914, the Precision is 0.69, the Recall is 0.952, the F1-score is 0.8. When we test diabetics with GA_XGBT model, we find that the AUROC is 0.984, the Precision is 0.929, the Recall is 0.951, the F1-score is 0.94. CONCLUSIONS Based on tongue features, the study uses classical machine learning algorithm and deep learning algorithm to maximum the respective advantages. We combine the prior knowledge and potential features together, establish the noninvasive diabetics risk prediction model with features fusion algorithm, and detect prediabetics and diabetics noninvasively. Our study presents a feasible method for establishing the association between diabetics and the tongue image information and prove that tongue image information is a potential marker which facilitates effective early diagnosis of prediabetics and diabetics.
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Chen H, Chen Y, Wu W, Cai Z, Chen Z, Yan X, Wu S. Total cholesterol, arterial stiffness, and systolic blood pressure: a mediation analysis. Sci Rep 2021; 11:1330. [PMID: 33446746 PMCID: PMC7809132 DOI: 10.1038/s41598-020-79368-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 12/07/2020] [Indexed: 02/05/2023] Open
Abstract
On the basis of 45,092 participants (mean age of 54.04 ± 13.09 years) from the Kailuan study, this study was performed to explore the relationships among total cholesterol (TC), brachial-ankle pulse wave velocity (BaPWV), and systolic blood pressure (SBP) and quantify their separate effects. The correlations among TC, SBP, and BaPWV were analyzed using multivariate linear regression models. Mediation analysis was performed to determine whether the effect of TC on SBP can be explained by arterial stiffness. Multivariate linear regression analysis showed that for every one standard deviation increase in TC and BaPWV, SBP increased by 0.33 mmHg and 0.044 mmHg, respectively; for every one standard deviation increase in TC, BaPWV increased by 5.34 cm/s. Mediation analysis showed that the TC-induced SBP elevation was mediated by arterial stiffness in more than half of the whole cohort (indirect effect, 0.73; percent mediated, 54.5%). Furthermore, the TC-induced SBP elevation was mediated by arterial stiffness in less than half of the males (indirect effect, 0.70; percent mediated, 47.9%); however, the results were not statistically significant in females. In conclusion, TC and BaPWV are positively correlated with SBP, whereas TC is positively correlated with BaPWV. Almost half of the increase in SBP contributed to TC is mediated by arterial stiffness.
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Affiliation(s)
- Haojia Chen
- Shantou University Medical College, Shantou, 515041, Guangdong, China
- Department of Cardiology, First Hospital of Medical College of Shantou University, Shantou, 515041, Guangdong, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, China.
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Zefeng Cai
- Shantou University Medical College, Shantou, 515041, Guangdong, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Zhichao Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Xiuzhu Yan
- School of Foreign Language, Guangdong Polytechnic Normal University, Guangzhou, 510000, Guangdong, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, 063001, China.
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Wang L, Lee Y, Wu Y, Zhang X, Jin C, Huang Z, Wang Y, Wang Z, Kris-Etherton P, Wu S, Gao X. A prospective study of waist circumference trajectories and incident cardiovascular disease in China: the Kailuan Cohort Study. Am J Clin Nutr 2020; 113:338-347. [PMID: 37116962 DOI: 10.1093/ajcn/nqaa331] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 10/21/2020] [Indexed: 12/18/2022] Open
Abstract
ABSTRACT
Background
Single measurements of waist circumference (WC) predict the incident cardiovascular disease (CVD); however, long-term patterns of WC and their association with the incidence of CVD are poorly characterized.
Objective
We aimed to identify WC trajectories and determine their association with incident CVD (stroke and myocardial infarction) and examine whether the association persisted among individuals without obesity.
Methods
We included 75,535 participants from a community-based cohort in China who were aged >18 y and free of stroke, coronary artery disease, and cancer in 2010 (the baseline). WC and other covariates were repeatedly measured in 2006, 2008, and 2010. WC trajectories were identified by latent mixture modeling. A Cox proportional hazards model was used to examine the association between WC trajectories and incident CVD, after adjustment for age, sex, income, education, systolic blood pressure, lipid profiles, plasma concentrations of glucose, C-reactive protein, smoking, and alcohol drinking.
Results
We identified 4 WC trajectories based on 2006 WC measurement and change patterns during 2006–2010: low stable (n = 12,072; mean WC 74.1–75.1 cm), moderate stable (n = 41,750; mean WC 85.1–86.6 cm), moderate-high stable (n = 19,914; mean WC 95.6–97.2 cm), and high stable (n = 1,799; mean WC 106.3–110.9 cm). During 2010–2016, we documented 2819 incident CVD events. Compared with the low-stable group, groups with elevated WC trajectories had a higher risk of CVD events during 6 y of follow-up (2010–2016). Adjusted HRs (95% CIs) were 1.49 (1.21, 1.83) for the moderate stable group, 1.71(1.38, 2.12) for the moderate-high stable group, and 1.45 (1.06, 2.00) for the high stable group. After further adjusting for BMI or excluding obese participants, we observed similar results. The positive association between WC and incident CVD was higher in individuals who were aged <60 y (P-interaction < 0.0001).
Conclusions
WC trajectory patterns were associated with altered risk of CVD among Chinese adults, even among people without BMI-defined obesity. When stratifying by age, the association was observed to be higher in younger adults.
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Affiliation(s)
- Liang Wang
- Department of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, TX, USA
| | - Yujin Lee
- Department of Food and Nutrition, Myongji University, Yongin, Korea
| | - Yuntao Wu
- Department of Cardiology, Kailuan General Hospital, Hebei United University, Tangshan, China
| | - Xinyuan Zhang
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Cheng Jin
- Department of Cardiology, Kailuan General Hospital, Hebei United University, Tangshan, China
| | - Zhe Huang
- Department of Cardiology, Kailuan General Hospital, Hebei United University, Tangshan, China
| | - Yixin Wang
- Department of Nutrition, TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Zhiyi Wang
- Department of Emergency Medicine and General Practice, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Penny Kris-Etherton
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Hebei United University, Tangshan, China
| | - Xiang Gao
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA
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Xu J, Dai L, Zhang Y, Wang A, Li H, Wang Y, Meng X, Wu S, Wang Y. Severity of Nonalcoholic Fatty Liver Disease and Risk of Future Ischemic Stroke Events. Stroke 2020; 52:103-110. [PMID: 33272125 DOI: 10.1161/strokeaha.120.030433] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND AND PURPOSE We assessed prospectively whether nonalcoholic fatty liver disease (NAFLD) and its severity predict future ischemic stroke (IS) events in a community-based cohort. METHODS From the Kailuan study, participants free of history of stroke, cancer, or myocardial infarction were enrolled after excluding alcohol abuse and other liver diseases. NAFLD was evaluated through ultrasonography. Participants with NAFLD were further stratified into mild, moderate, and severe groups. The outcome was the first occurrence of IS. The secondary outcomes included myocardial infarction and combined vascular events. We used Cox proportional hazards models to estimate hazard ratios and 95% CIs of incident IS according to presence and severity of NAFLD, adjusting for age, sex, physical activity, body mass index, smoker, history of hypertension, diabetes, hypercholesterolemia, lipid-lowering medication, HDL (high-density lipoprotein), triglyceride, hsCRP (high-sensitivity C-reactive protein), and fasting blood glucose. RESULTS During a median of 10.34 years of follow-up, we documented 3490 incident stroke cases among 79 905 participants. NAFLD was found in 24 874 (31.18%) participants. Relative to participants without NAFLD at the baseline, those with NAFLD had a 16% higher risk (95% CI, 1.07-1.26) of developing ischemic stroke, after adjusted for confounding variables. The hazard ratios for patients with mild, moderate, and severe NAFLD were 1.15 (95% CI, 1.05-1.25), 1.19 (95% CI, 1.06-1.34), and 1.21 (95% CI, 1.08-1.50), respectively. CONCLUSIONS The severity of NAFLD is associated with a higher risk of future ischemic stroke events.
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Affiliation(s)
- Jie Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang)
| | - Liye Dai
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang)
| | - Yijun Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang)
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang)
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang)
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang)
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang)
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China (S.W.)
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University (J.X., L.D., Y.Z., A.W., H.L., Yilong Wang, X.M., Yongjun Wang)
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Zhang J, Wang A, Zhang X, Chen S, Wu S, Zhao X, Zhang Q. Association between tea consumption and cognitive impairment in middle-aged and older adults. BMC Geriatr 2020; 20:447. [PMID: 33148194 PMCID: PMC7640442 DOI: 10.1186/s12877-020-01848-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 10/26/2020] [Indexed: 01/08/2023] Open
Abstract
Background Biologic studies have suggested that tea may have neuroprotective activity. However, tea’s protective effect on cognitive function is controversial in human epidemiological studies, and no data, including the middle-aged, are available. The objective of this study was to investigate the association of habit, frequency, and types of tea consumption with incident cognitive impairment in middle-aged and older adults. Methods Data from the Asymptomatic Polyvascular Abnormalities in Community study were used (aged over 40y). We gathered information on tea consumption, including habit, frequency, and types, via a standardized questionnaire and assessed cognitive function by Mini-Mental State Examination (MMSE) and/or Montreal Cognitive Assessment (MoCA). Three thousand eight hundred sixty-eight and 806 participants were selected in MMSE and MoCA subgroups. Multivariate logistic regression models were utilized to examine associations between tea consumption and cognitive impairment in middle-aged and older participants. Results In MMSE analyses, after adjustment for potential confounding factors, habitual (odds ratio (OR) 0.47, [95% confidence interval (CI) 0.33–0.68], p < 0.001) and high frequency (p trend < 0.001) of tea intake were associated with a lower risk of cognitive impairment. The risk of cognitive impairment was lower in green tea consumption (OR 0.36, [95% CI 0.22–0.61], p < 0.001) than other types (OR 0.59, [95% CI 0.38–0.91], p = 0.017). In MoCA analyses, we got similar results. Conclusions Habitual tea consumption, especially high-frequency and green tea consumption, was significantly associated with a lower prevalence of cognitive impairment in middle-aged and older individuals. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-020-01848-6.
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Affiliation(s)
- Jia Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, 063000, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, 063000, China.
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China. .,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Qian Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China. .,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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Liu T, Siyin ST, Yao N, Duan N, Xu G, Li W, Qu J, Liu S. Relationship between high-sensitivity C reactive protein and the risk of gallstone disease: results from the Kailuan cohort study. BMJ Open 2020; 10:e035880. [PMID: 32963062 PMCID: PMC7509952 DOI: 10.1136/bmjopen-2019-035880] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES Gallstone disease (GSD) can be caused by various health and clinical factors such as obesity, dyslipidaemia and an unhealthy diet, all of which are associated with higher high-sensitivity C reactive protein (hs-CRP) concentrations. Whether hs-CRP represents an independent risk factor for GSD is still unclear. We prospectively investigated hs-CRP in relation to the occurrence of GSD based on the Kailuan study. STUDY DESIGN Prospective cohort study. SETTING The Kailuan cohort study was conducted in Tangshan City in northern China. PARTICIPANTS 95 319 participants who were free from GSD were recruited in this study. Epidemiological data, anthropometric parameters and biochemical data of participants were collected. PRIMARY AND SECONDARY OUTCOME MEASURES Cox proportional hazards regression models were used to evaluate the association between hs-CRP concentrations and the risk of GSD after adjustments for potential confounders. RESULTS During the mean 7.58 years of follow-up among 95 319 participants, 4205 participants were identified as newly diagnosed with GSD or having undergone cholecystectomy for cholelithiasis. Compared with the hs-CRP<1 mg/L group, elevated hs-CRP concentrations were significantly associated with higher risk of GSD with the corresponding HR of 1.11 (95% CI 1.03 to 1.19), 1.12 (95% CI 1.04 to 1.22) in the 1≤hs-CRP≤3 mg/L and hs-CRP>3 mg/L group, respectively. The multivariate model which included hs-CRP not only had a better line of fitness but also had better predictive values to help identify new cases of GSD during follow-up. CONCLUSION Elevated hs-CRP concentration is an independent risk factor for new-onset GSD among the Chinese population. TRIAL REGISTRATION NUMBER ChiCTR-TNC-11001489.
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Affiliation(s)
- Tong Liu
- Department of General Surgery, Aerospace Central Hospital, Beijing, China
| | - Sarah Tan Siyin
- Department of General Surgery, Beijing Children's Hospital, National Center for Children's Health, Beijing, China
| | - Nan Yao
- Department of General Surgery, Aerospace Central Hospital, Beijing, China
| | - Ning Duan
- Department of General Surgery, Aerospace Central Hospital, Beijing, China
| | - Guoshuai Xu
- Department of General Surgery, Aerospace Central Hospital, Beijing, China
| | - Wenqiang Li
- Department of General Surgery, Aerospace Central Hospital, Beijing, China
| | - Jun Qu
- Department of General Surgery, Aerospace Central Hospital, Beijing, China
| | - Siqing Liu
- Department of Hepatological Surgery, Kailuan General Hospital, Tangshan, China
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Lei S, Chen S, Zhao X, Zhang Y, Cheng K, Zhang X, Wang Z, Sun Y, Wu S, Wang L. Hepatitis B virus infection and diabetes mellitus: the Kailuan prospective cohort study in China. Hepatol Int 2020; 14:743-753. [PMID: 32885367 DOI: 10.1007/s12072-020-10086-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 08/20/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND AIMS The effect of hepatitis B virus (HBV) infection on diabetes has remained unclear. We thus conducted a prospective cohort study to investigate the association between different HBV infection status and new-onset diabetes in a Chinese population. METHODS We enrolled 55,520 participants with HBV serological markers and diabetes free in 2010 in Kailuan cohort. Cox regression models were used to analyze the relationship between different HBV infection status and incidence of diabetes after adjusting different confounders. RESULTS During an average follow-up of 5.6 years, we identified 6008 incident patients with diabetes. Compared to the participants with hepatitis B surface antigen (HBsAg) negative/hepatitis B surface antibody (anti-HBs) negative/hepatitis B core antibody (anti-HBc) negative, those with chronic HBV infection or with HBsAg negative/anti-HBc positive had a higher risk to occur diabetes. The hazard ratios were 1.18 (95% CI 0.99-1.40, p = 0.0588) and 1.22 (95% CI 1.08-1.36, p = 0.0009), respectively. The association between chronic HBV infection, anti-HBc positive and diabetes was different between those with different levels of high density lipoprotein cholesterol, blood pressure, body mass index, and age. CONCLUSION The individuals with chronic HBV infection or anti-HBc positive may have an increased risk of diabetes, and the association may be modified by the different status of metabolism related variables and age. Effective management of HBV infection may contribute to the reduction of the burden of both hepatitis B and diabetes.
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Affiliation(s)
- Shaoyuan Lei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Shuohua Chen
- Health Care Center, Kailuan Group, Tangshan, 063000, China
| | - Xinyu Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Yanmin Zhang
- Gastroenterology Department, Kailuan General Hospital, Tangshan, 063001, China
| | - Kailiang Cheng
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Xiaohui Zhang
- Physical Examination Center, Linxi Hospital of Kailuan General Hospital, Tangshan, 063001, China
| | - Zhenyu Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Yuanyuan Sun
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Shouling Wu
- Cardiology Department, Kailuan General Hospital, Tangshan, 063000, China.
| | - Li Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
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Chen H, Chen Y, Wu W, Chen Z, Cai Z, Chen Z, Yan X, Wu S. Prolonged hyperlipidemia exposure increases the risk of arterial stiffness in young adults: a cross-sectional study in a cohort of Chinese. BMC Public Health 2020; 20:1091. [PMID: 32652962 PMCID: PMC7353800 DOI: 10.1186/s12889-020-09211-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 07/05/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Hyperlipidemia is associated with arterial stiffness. Herein, We examined the effect of prolonged exposure to hyperlipidemia on the risk of arterial stiffness in young adults. METHODS A study cohort (35-55 years old) that received health check-ups in the Kailuan study (2014-2016) were assessed. Hyperlipidemia was defined as a low-density lipoprotein cholesterol ≥160 mg/dL according to the Chinese Guidelines for the Management of Dyslipidemia in Adults. Subjects were divided into three groups based on the number of years with hyperlipidemia: normal (0 years), low exposure (1-5 years), and high exposure (5-10 years) groups. Arterial stiffness was defined as brachial-ankle pulse wave velocity > 1400 cm/s. For all subjects and subjects that did not meet statin treatment criteria under guidelines, logistics regression was used to analyze the effect of prolonged hyperlipidemia exposure on arterial stiffness in different age groups. RESULTS Among 12,431 subjects, the mean age was 46.42 ± 5.34 years with 9000 men (72.4%). Brachial-ankle pulse wave velocity gradually increased with increased exposure duration. Logistic regression analysis showed that hyperlipidemia exposure was a risk factor for arterial stiffness in the low (1.22 times) and high (1.49 times) exposure groups compared with the normal group. In the different age groups, the risk of arterial stiffness increased with the duration of hyperlipidemia exposure, apart for the 35-40-year-old population. The effect of hyperlipidemia exposure duration on arterial stiffness in young adults that did not meet statin treatment criteria under guidelines was similar to the general population. CONCLUSIONS Prolonged exposure to hyperlipidemia in young adults increases the risk of arterial stiffness. Young adults with this condition may benefit from more aggressive primary prevention. TRIAL REGISTRATION Name of the registry: Risk factors and intervention for cardiology, cerebrovascular and related disease (Kailuan Study) Trial registration number: CHiCTR-TNC1100 1489 Date of registration: Aug 24, 2011 URL of trial registry record: http://www.chictr.org.cn/showproj.aspx?proj=8050.
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Affiliation(s)
- Haojia Chen
- Shantou University Medical College, NO.22 Xinling Road, Jinping District, Shantou City, 515041 Guangdong Province China
- Department of Cardiology, First Hospital of Medical College of Shantou University, NO.57 Changping Road, Jinping District, Shantou City, 515041 Guangdong Province China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69 Dongxia North Road, Jinping District, Shantou City, 515041 Guangdong Province China
- School of Foreign Language, Guangdong Polytechnic Normal University, NO.293 Zhongshan Avenue West, Tianhe District, Guangzhou, 510665 Guangdong China
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69 Dongxia North Road, Jinping District, Shantou City, 515041 Guangdong Province China
| | - Zekai Chen
- Shantou University Medical College, NO.22 Xinling Road, Jinping District, Shantou City, 515041 Guangdong Province China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69 Dongxia North Road, Jinping District, Shantou City, 515041 Guangdong Province China
| | - Zefeng Cai
- Shantou University Medical College, NO.22 Xinling Road, Jinping District, Shantou City, 515041 Guangdong Province China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69 Dongxia North Road, Jinping District, Shantou City, 515041 Guangdong Province China
| | - Zhichao Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69 Dongxia North Road, Jinping District, Shantou City, 515041 Guangdong Province China
| | - Xiuzhu Yan
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, NO.57 Xinhua East Road, Lubei District, Tangshan City, 063001 Hebei Province China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, NO.57 Xinhua East Road, Lubei District, Tangshan City, 063001 Hebei Province China
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Guo Y, Chung W, Zhu Z, Shan Z, Li J, Liu S, Liang L. Genome-Wide Assessment for Resting Heart Rate and Shared Genetics With Cardiometabolic Traits and Type 2 Diabetes. J Am Coll Cardiol 2020; 74:2162-2174. [PMID: 31648709 DOI: 10.1016/j.jacc.2019.08.1055] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 06/24/2019] [Accepted: 08/05/2019] [Indexed: 01/24/2023]
Abstract
BACKGROUND High resting heart rate (RHR) occurs in parallel with type 2 diabetes (T2D) and metabolic disorders, implying shared etiology between them. However, it is unknown if they are causally related, and no study has been conducted to investigate the shared mechanisms underlying these associations. OBJECTIVES The objective of this study was to understand the genetic basis of the association between resting heart rate and cardiometabolic disorders/T2D. METHODS This study examined the genetic correlation, causality, and shared genetics between RHR and T2D using LD Score regression, generalized summary data-based Mendelian randomization, and transcriptome wide association scan (TWAS) in UK Biobank data (n = 428,250) and summary-level data for T2D (74,124 cases and 824,006 control subjects) and 8 cardiometabolic traits (sample size ranges from 51,750 to 236,231). RESULTS Significant genetic correlation between RHR and T2D (rg = 0.22; 95% confidence interval: 0.18 to 0.26; p = 1.99 × 10-22), and 6 cardiometabolic traits (fasting insulin, fasting glucose, waist-hip ratio, triglycerides, high-density lipoprotein, and body mass index; rg range -0.12 to 0.24; all p < 0.05) were observed. RHR has significant estimated causal effect on T2D (odds ratio: 1.12 per 10-beats/min increment; p = 7.79 × 10-11) and weaker causal estimates from T2D to RHR (0.32 beats/min per doubling increment in T2D prevalence; p = 6.14 × 10-54). Sensitivity analysis by controlling for the included cardiometabolic traits did not modify the relationship between RHR and T2D. TWAS found locus chr2q23.3 (rs1260326) was highly pleiotropic among RHR, cardiometabolic traits, and T2D, and identified 7 genes (SMARCAD1, RP11-53O19.3, CTC-498M16.4, PDE8B, AKTIP, KDM4B, and TSHZ3) that were statistically independent and shared between RHR and T2D in tissues from the nervous and cardiovascular systems. These shared genes suggested the involvement of epigenetic regulation of energy and glucose metabolism, and AKT activation-related telomere dysfunction and vascular endothelial aging in the shared etiologies between RHR and T2D. Finally, FADS1 was found to be shared among RHR, fasting glucose, high-density lipoprotein, and triglycerides. CONCLUSIONS These findings provide evidence of significant genetic correlations and causation between RHR and T2D/cardiometabolic traits, advance our understanding of RHR, and provide insight into shared etiology for high RHR and T2D.
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Affiliation(s)
- Yanjun Guo
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Wonil Chung
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Zhaozhong Zhu
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Zhilei Shan
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Li
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Simin Liu
- Departments of Epidemiology, Medicine, and Center for Global Cardiometabolic Health (CGCH), Brown University, Providence, Rhode Island
| | - Liming Liang
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms. SENSORS 2020; 20:s20092556. [PMID: 32365875 PMCID: PMC7248708 DOI: 10.3390/s20092556] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 04/22/2020] [Accepted: 04/26/2020] [Indexed: 12/16/2022]
Abstract
The clinical symptoms of prediabetes are mild and easy to overlook, but prediabetes may develop into diabetes if early intervention is not performed. In this study, a deep learning model—referred to as IGRNet—is developed to effectively detect and diagnose prediabetes in a non-invasive, real-time manner using a 12-lead electrocardiogram (ECG) lasting 5 s. After searching for an appropriate activation function, we compared two mainstream deep neural networks (AlexNet and GoogLeNet) and three traditional machine learning algorithms to verify the superiority of our method. The diagnostic accuracy of IGRNet is 0.781, and the area under the receiver operating characteristic curve (AUC) is 0.777 after testing on the independent test set including mixed group. Furthermore, the accuracy and AUC are 0.856 and 0.825, respectively, in the normal-weight-range test set. The experimental results indicate that IGRNet diagnoses prediabetes with high accuracy using ECGs, outperforming existing other machine learning methods; this suggests its potential for application in clinical practice as a non-invasive, prediabetes diagnosis technology.
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Li Y, Li Y, Gurol ME, Liu Y, Yang P, Shi J, Zhuang S, Forman MR, Wu S, Gao X. In utero exposure to the Great Chinese Famine and risk of intracerebral hemorrhage in midlife. Neurology 2020; 94:e1996-e2004. [PMID: 32277057 DOI: 10.1212/wnl.0000000000009407] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 11/15/2019] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To investigate whether in utero exposure to the Great Chinese Famine in 1959 to 1961 was associated with risk of intracerebral hemorrhage (ICH) in adulthood. METHODS In this cohort analysis, we included 97,399 participants of the Kailuan Study who were free of cardiovascular disease and cancer at baseline (2006). Cases of incident ICH were confirmed by medical record review. We used the Cox proportional hazards model to calculate the hazard ratio (HR) and 95% confidence interval (CI) for ICH according to in utero famine exposure status. RESULTS Among 97,399 participants in the current analyses, 6.3% (n = 6,160) had been prenatally exposed to the Great Chinese Famine. During a median 9.0 years of follow-up (2006-2015), we identified 724 cases of incident ICH. After adjustment for potential confounders, the HR of ICH was 1.99 (95% CI 1.39-2.85) for in utero famine-exposed individuals vs individuals who were not exposed to the famine. When exposure to famine and severity of famine were examined jointly, the adjusted HR was 2.99 (95% CI 1.21-7.39) for in utero exposure to severe famine and 1.94 (95% CI 1.32-2.84) for in utero exposure to less severe famine relative to those without exposure to famine. CONCLUSIONS Individuals with in utero exposure to famine, especially those exposed to severe famine, were more likely to have ICH in midlife, highlighting the role of nutritional factors in susceptibility to this severe cerebral condition.
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Affiliation(s)
- Yun Li
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN
| | - Yanping Li
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN
| | - M Edip Gurol
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN
| | - Yesong Liu
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN
| | - Peng Yang
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN
| | - Jihong Shi
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN
| | - Sheng Zhuang
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN
| | - Michele R Forman
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN
| | - Shouling Wu
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN.
| | - Xiang Gao
- From the Department of Preventive Medicine (Yun Li), School of Public Health, North China University of Science and Technology, Tangshan; Department of Nutritional Sciences (Yun Li, X.G.), Pennsylvania State University, State College; Department of Nutrition (Yanping Li), Harvard T.H. Chan School of Public Health; Department of Neurology (M.E.G.), Massachusetts General Hospital and Harvard Medical School, Boston; Departments of Neurology (Y. Liu) and Cardiology (J.S., S.W.), Kailuan General Hospital, North China University of Science and Technology; Department of Neurosurgery (P.Y.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Neurology (S.Z.), The Second Affiliated Hospital of Soochow University, Suzhou, China; and Department of Nutrition Science (M.R.F.), Purdue University, West Lafayette, IN.
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Ye SC, Yang N, Wei MT, Zhang X, Wu SL, Li YM. Prehypertension prior to pregnancy is associated with hypertensive disorders of pregnancy and postpartum metabolic syndrome in Chinese women. Hypertens Pregnancy 2020; 39:152-158. [PMID: 32267178 DOI: 10.1080/10641955.2020.1748645] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: To examined whether prehypertension prior to pregnancy increased the risk of hypertensive disorders of pregnancy (HDP) and postpartum metabolic syndrome.Methods:1060 singleton pregnancy women with physical examination data before pregnancy were enrolled through the Kailuan study. Women with pre-pregnancy hypertension, metabolic syndrome, or no postpartum follow-up data were excluded. Pre-pregnancy prehypertension was defined as elevated blood pressure (130-139/85-89 mmHg) at the last physical examination before pregnancy. Multivariable Logistic and Cox Regression were used to examine the association between pre-pregnancy prehypertension and outcomes. Kaplan-Meier survival curve was used to analyze the cumulative incidence of postpartum metabolic syndrome.Results: Among the 801 women enrolled at baseline, 173 (21.6%) had prehypertension. Overall, 61 women (7.6%) developed HDP. Kaplan-Meier survival curve showed that the incidence of postpartum metabolic syndrome was significantly higher in prehypertensive women. After adjusting for confounders, women with pre-pregnancy prehypertension were 2.09 (95% CI 1.19-3.70) and 1.91 (95% CI 1.23-2.97) times as likely to develop HDP and postpartum metabolic syndrome, compared to normotensive women.Conclusion: Women with pre-pregnancy prehypertension may benefit from the more intensive monitor for HDP and postpartum metabolic syndrome.
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Affiliation(s)
- Shu-Cheng Ye
- Logistics Institute, Chinese People' S Armed Police Force, Tianjin, China.,Institute of Cardiovascular Disease and Heart Center, Characteristic Medical Center of the Chinese People's Armed Police Force, Tianjin, China
| | - Ning Yang
- Institute of Cardiovascular Disease and Heart Center, Characteristic Medical Center of the Chinese People's Armed Police Force, Tianjin, China
| | - Mao-Ti Wei
- Logistics Institute, Chinese People' S Armed Police Force, Tianjin, China
| | - Xin Zhang
- Institute of Cardiovascular Disease and Heart Center, Characteristic Medical Center of the Chinese People's Armed Police Force, Tianjin, China
| | - Shou-Ling Wu
- Department of Cardiology, Kailuan General Hospital, Tanshan, China
| | - Yu-Ming Li
- Department of Cardiology, Tianjin Economic-Technological Development Area (TEDA) International Cardiovascular Hospital, Tianjin, China
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Abstract
Heart rate is a parameter that is widely used by the general population as a marker of health. The availability of wearable electronic heart rate monitoring devices and use of specific apps are widely used both at rest and during daily life activities. Resting heart rate values gained more relevance with the evidence of association between elevated heart rate values at rest and diseases and adverse events. Also longitudinal studies demonstrated a clear association between increase in heart rate over time and cardiovascular and all-cause mortality. The increased knowledge of physiological mechanisms of heart rate control and the pathophysiological mechanisms responsible for its dysfunction allows identification of the cutoff value of normalcy. This information can be used to select non-pharmacological and pharmacological interventions to reduce the cardiovascular risk both in the general population and in patients with pathophysiological conditions. This review provides an overview of the current knowledge of resting heart rate as cardiovascular risk factor.
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Affiliation(s)
- Gino Seravalle
- Cardiology Department, S. Luca Hospital, Istituto Auxologico Italiano IRCCS , Milan, Italy
| | - Guido Grassi
- Clinica Medica, S. Gerardo Hospital, University Milano-Bicocca , Monza, Italy
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Zhao MX, Zhao Q, Zheng M, Liu T, Li Y, Wang M, Yao S, Wang C, Chen YM, Xue H, Wu S. Effect of resting heart rate on the risk of all-cause death in Chinese patients with hypertension: analysis of the Kailuan follow-up study. BMJ Open 2020; 10:e032699. [PMID: 32161155 PMCID: PMC7066611 DOI: 10.1136/bmjopen-2019-032699] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 12/11/2019] [Accepted: 01/08/2020] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVE Previous studies have shown that an elevated heart rate is associated with a higher risk of cardiovascular events. This study aimed to prospectively examine the relationship between resting heart rate (RHR) and all-cause mortality in Chinese patients with hypertension. DESIGN An observational, prospective and population-based cohort study. SETTING The Kailuan cohort study was conducted in Tangshan City in northern China. PARTICIPANTS We enrolled 46 561 patients who did not receive beta-blocker treatment and were diagnosed with hypertension for the first time during an employee health examination in Kailuan Group in 2006 and 2008. OUTCOME The primary outcome of this study was all-cause mortality. METHODS The patients in this study were followed for 9.25±1.63 years. All patients were followed up face to face every 2 years. According to the distribution of RHR in the study population, RHR was categorised into five groups on the basis of quintiles: Q1: RHR ≤68 beats per minute (bpm); Q2: RHR >68 and ≤72 bpm; Q3: RHR >72 and ≤76 bpm; Q4: RHR >76 and ≤82 bpm; Q5: RHR >82 bpm. Cox proportional hazards model, which was adjusted for traditional risk factors, was used. RESULTS During follow-up, 4751 deaths occurred. After adjustment for potential confounders, restricted cubic spline regression showed that the risk of all-cause mortality increased with heart rate. In multivariate Cox regression analyses adjusted for age, sex and major covariates, the HR for all-cause mortality was 1.31 (95% CI 1.27 to 1.33) in the highest quintile group (Q5) compared with the lowest quintile group (Q1). CONCLUSION An increase in RHR is a long-term risk factor of all-cause mortality in Chinese patients with hypertension. TRIAL REGISTRATION NUMBER ChiCTR-TNC-11001489.
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Affiliation(s)
- Mao Xiang Zhao
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Quanhui Zhao
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Mengyi Zheng
- North China University of Science and Technology, Tangshan, Hebei, China
| | - Tong Liu
- North China University of Science and Technology, Tangshan, Hebei, China
| | - Yao Li
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Miao Wang
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Siyu Yao
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Chi Wang
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Yan-Ming Chen
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Hao Xue
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
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Liu X, Li Z, Zhang J, Chen S, Tao L, Luo Y, Xu X, Fine JP, Li X, Guo X. A Novel Risk Score for Type 2 Diabetes Containing Sleep Duration: A 7-Year Prospective Cohort Study among Chinese Participants. J Diabetes Res 2020; 2020:2969105. [PMID: 31998805 PMCID: PMC6964717 DOI: 10.1155/2020/2969105] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 10/08/2019] [Accepted: 12/05/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Sleep duration is associated with type 2 diabetes (T2D). However, few T2D risk scores include sleep duration. We aimed to develop T2D scores containing sleep duration and to estimate the additive value of sleep duration. METHODS We used data from 43,404 adults without T2D in the Beijing Health Management Cohort study. The participants were surveyed approximately every 2 years from 2007/2008 to 2014/2015. Sleep duration was calculated from the self-reported usual time of going to bed and waking up at baseline. Logistic regression was employed to construct the risk scores. Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were used to estimate the additional value of sleep duration. RESULTS After a median follow-up of 6.8 years, we recorded 2623 (6.04%) new cases of T2D. Shorter (both 6-8 h/night and <6 h/night) sleep durations were associated with an increased risk of T2D (odds ratio (OR) = 1.43, 95% confidence interval (CI) = 1.30-1.59; OR = 1.98, 95%CI = 1.63-2.41, respectively) compared with a sleep duration of >8 h/night in the adjusted model. Seven variables, including age, education, waist-hip ratio, body mass index, parental history of diabetes, fasting plasma glucose, and sleep duration, were selected to form the comprehensive score; the C-index was 0.74 (95% CI: 0.71-0.76) for the test set. The IDI and NRI values for sleep duration were 0.017 (95% CI: 0.012-0.022) and 0.619 (95% CI: 0.518-0.695), respectively, suggesting good improvement in the predictive ability of the comprehensive nomogram. The decision curves showed that women and individuals older than 50 had more net benefit. CONCLUSIONS The performance of T2D risk scores developed in the study could be improved by containing the shorter estimated sleep duration, particularly in women and individuals older than 50.
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Affiliation(s)
- Xiangtong Liu
- School of Public Health, Capital Medical University, Beijing 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiwei Li
- School of Public Health, Capital Medical University, Beijing 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jingbo Zhang
- Beijing Physical Examination Center, Beijing 100077, China
| | - Shuo Chen
- Beijing Physical Examination Center, Beijing 100077, China
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yanxia Luo
- School of Public Health, Capital Medical University, Beijing 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaolin Xu
- The University of Queensland, Brisbane, Australia
| | | | - Xia Li
- La Trobe University, Melbourne, Australia
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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48
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Osibogun O, Ogunmoroti O, Spatz ES, Fashanu OE, Michos ED. Ideal cardiovascular health and resting heart rate in the Multi-Ethnic Study of Atherosclerosis. Prev Med 2020; 130:105890. [PMID: 31715219 PMCID: PMC6930349 DOI: 10.1016/j.ypmed.2019.105890] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 09/16/2019] [Accepted: 11/08/2019] [Indexed: 01/14/2023]
Abstract
Elevated resting heart rate (RHR) is associated with an increased cardiovascular disease (CVD) risk, but little is known about its association with cardiovascular health (CVH), assessed by the Life's Simple 7 (LS7) metrics. We explored whether ideal CVH was associated with RHR in a cohort free from clinical CVD. We conducted a cross-sectional analysis of baseline data (2000-2002) of 6457 Multi-Ethnic Study of Atherosclerosis participants in 2018. Each LS7 metric (smoking, physical activity, diet, body mass index, blood pressure, cholesterol and glucose) was scored 0-2. Total score ranged from 0 to 14. Scores of 0-8 indicate inadequate, 9-10 average, and 11-14 optimal CVH. RHR was categorized as <60, 60-69, 70-79 and ≥80 bpm. We used multinomial logistic regression to determine associations between CVH score and RHR, adjusting for age, sex, race/ethnicity, education, income, health insurance, and atrioventricular nodal blockers. Mean age of participants (standard deviation) was 62 (10) years; 53% were women; 47% had inadequate CVH, 33% average, and 20% optimal. Favorable CVH was associated with lower odds of having higher RHR. Compared to RHR <60 bpm, participants with optimal CVH had adjusted odds ratio (95% CI) of 0.55 (0.46-0.64) for RHR of 60-69 bpm, 0.34 (0.28-0.43) for 70-79 bpm, and 0.14 (0.09-0.22) for ≥80 bpm. A similar pattern was observed in the stratified analysis by sex, race/ethnicity and age. Favorable CVH was less likely to be associated with elevated RHR irrespective of sex, race/ethnicity and age. More research is needed to explore the usefulness of promoting ideal CVH to reduce elevated RHR, a known risk factor for CVD.
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Affiliation(s)
- Olatokunbo Osibogun
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, United States of America.
| | - Oluseye Ogunmoroti
- The Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, United States of America.
| | - Erica S Spatz
- Division of Cardiovascular Medicine, Yale University, New Haven, CT, United States of America.
| | - Oluwaseun E Fashanu
- The Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, United States of America; Saint Agnes Healthcare, Baltimore, MD, United States of America.
| | - Erin D Michos
- The Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, United States of America.
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49
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Wang Q, Wang YX, Wu SL, Chen SH, Yan YN, Yang MC, Yang JY, Zhou WJ, Chan SY, Zhang XH, Yang X, Lei YH, Qin SQ, Chen MX, Jonas JB, Wei WB. Ocular Axial Length and Diabetic Retinopathy: The Kailuan Eye Study. Invest Ophthalmol Vis Sci 2019; 60:3689-3695. [PMID: 31469896 DOI: 10.1167/iovs.19-27531] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose To examine the role of ocular axial length as an ocular parameter for the prevalence and severity of diabetic retinopathy (DR). Methods The cross-sectional Kailuan Diabetic Retinopathy Study included patients with diabetes who participated in the community-based longitudinal Kailuan Study and who had undergone ocular fundus photography. The fundus photographs were graded using the Early Treatment of Diabetic Retinopathy Study criteria. Results The study included 1096 patients with diabetes (mean age: 60.8 ± 9.4 years; axial length: 23.37 ± 0.92 mm). In binary regression analysis, a higher DR prevalence was associated with shorter axial length (P = 0.007; odds ratio [OR]: 0.81; 95% confidence interval [CI]: 0.70, 0.95) after adjusting for longer known duration of diabetes (P = 0.02; OR: 1.13; 95%CI: 1.02, 1.24) and higher fasting blood glucose concentration (P < 0.001; OR: 1.38; 95%CI: 1.26, 1.52). A more severe DR stage was associated (regression coefficient r: 0.46) with shorter ocular axial length (P = 0.047; standardized regression coefficient β: -0.06) after adjusting for higher fasting blood glucose (P < 0.001; β: 0.41) and longer known duration of diabetes (P = 0.045; β: 0.07). Longer axial length was associated with a lower DR prevalence (P = 0.003; β: -0.10) after adjusting for younger age (P < 0.001), male sex (P < 0.001), higher body mass index (P = 0.016), and lower fasting blood glucose concentration (P = 0.036). Conclusions After adjusting for systemic risk factors, DR prevalence decreased by 19% (95%CI: 5, 30) for each millimeter increase in axial length. With longer axial length being a surrogate for axial myopia, the marked increase in myopia prevalence worldwide may lead to a relative decrease in the prevalence and incidence of DR in future.
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Affiliation(s)
- Qian Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Shou Ling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | | | - Yan Ni Yan
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
| | - Mo Chi Yang
- Department of Ophthalmology, General Hospital of Ningxia Medical University, Ningxia, China
| | - Jing Yan Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
| | - Wen Jia Zhou
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
| | - Szy Yann Chan
- Department of Ophthalmology, Peking University Third Hospital, Beijing, China
| | - Xiao Hui Zhang
- Physical Examination Center, Linxi Hospital of Kailuan General Hospital, Tangshan, China
| | - Xuan Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
| | - Ya Hui Lei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
| | - Shu Qi Qin
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
| | - Meng Xi Chen
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
| | - Jost B Jonas
- Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.,Department of Ophthalmology, Medical Faculty Mannheim of the Ruprecht-Karis-University, Mannheim, Germany
| | - Wen Bin Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Capital Medical University, Beijing, China
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50
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Wu S, Jin C, Li S, Zheng X, Zhang X, Cui L, Gao X. Aging, Arterial Stiffness, and Blood Pressure Association in Chinese Adults. Hypertension 2019; 73:893-899. [PMID: 30776974 DOI: 10.1161/hypertensionaha.118.12396] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Arterial stiffness and blood pressure (BP) both increase with aging synchronously. Whether elevated BP results from thickening of arterial wall or vice versa is controversial in previous studies. This study included 17 862 participants without history of myocardial infarction, stroke, atrial fibrillation or flutter, or cancer and with brachial-ankle pulse wave velocity (baPWV) and BP measurements during 2010 to 2016. Age was calculated from the self-reported birthdate to the first date of baPWV examination. Mediation analyses were applied to assess the mediation effect by baPWV in the association between age and BP. Temporal relation between baPWV and BP was assessed by cross-lagged analyses among 1508 participants with repeated assessment of baPWV. We found that systolic BP increased 0.47 (95% CI, 0.45-0.49) mm Hg per 1 year older by the mediation effect of baPWV and that the direct effect of aging on systolic BP was -0.07 (95% CI, -0.09 to -0.05) mm Hg per 1 year older. The standard regression coefficient from baseline baPWV to follow-up systolic BP was 0.09 (95% CI, 0.04-0.15), which was greater than the standard regression coefficient from baseline systolic BP to follow-up baPWV (0.01; 95% CI, -0.04 to 0.06). Arterial stiffness mediated the positive association between aging and BP, and arterial stiffness might precede elevated BP. Clinical Trial Registration- URL: http://www.chictr.org.cn . Unique identifier: ChiCTR-TNRC-11001489.
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Affiliation(s)
- Shouling Wu
- From the Department of Cardiology (S.W., C.J., X. Zheng, X. Zhang), Kailuan General Hospital, Tangshan, People's Republic of China
| | - Cheng Jin
- From the Department of Cardiology (S.W., C.J., X. Zheng, X. Zhang), Kailuan General Hospital, Tangshan, People's Republic of China
| | - Shanshan Li
- Clinical Epidemiology Unit, Boston University School of Medicine, MA (S.L.)
| | - Xiaoming Zheng
- From the Department of Cardiology (S.W., C.J., X. Zheng, X. Zhang), Kailuan General Hospital, Tangshan, People's Republic of China
| | - Xinyuan Zhang
- From the Department of Cardiology (S.W., C.J., X. Zheng, X. Zhang), Kailuan General Hospital, Tangshan, People's Republic of China.,Department of Nutritional Sciences, Pennsylvania State University, State College (X. Zhang, X.G.)
| | - Liufu Cui
- Department of Rheumatic Disease (L.C.), Kailuan General Hospital, Tangshan, People's Republic of China
| | - Xiang Gao
- Department of Nutritional Sciences, Pennsylvania State University, State College (X. Zhang, X.G.)
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