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Marjot T, Armstrong MJ, Stine JG. Skeletal muscle and MASLD: Mechanistic and clinical insights. Hepatol Commun 2025; 9:e0711. [PMID: 40408301 DOI: 10.1097/hc9.0000000000000711] [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: 03/10/2025] [Accepted: 03/17/2025] [Indexed: 05/25/2025] Open
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is intrinsically linked with widespread metabolic perturbations, including within skeletal muscle. Indeed, MASLD is associated with a range of skeletal muscle abnormalities, including insulin resistance, myosteatosis, and sarcopenia, which all converge on the liver to drive disease progression and adverse patient outcomes. This review explores the mechanistic links between skeletal muscle and MASLD, including the role of abnormal glycemic control, systemic inflammation, and disordered myokine signaling. In turn, we discuss how intrinsic liver pathology can feed back to further exacerbate poor skeletal muscle health. Given the central importance of skeletal muscle in MASLD pathogenesis, it offers clinicians an opportunity to intervene for therapeutic benefit. We, therefore, summarize the role of nutrition and physical activity on skeletal muscle mass, quality, and metabolic function and discuss the knock-on effect this has on the liver. An awareness of these treatment strategies is particularly important in the era of effective pharmacological and surgical weight loss interventions, which can be associated with the development of sarcopenia. Finally, we highlight a number of promising drug agents in the clinical trial pipeline that specifically target skeletal muscle in an attempt to improve metabolic and physical functioning.
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Affiliation(s)
- Thomas Marjot
- Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), Radcliffe Department of Medicine, Churchill Hospital, University of Oxford, Oxford, UK
- Translational Gastroenterology and Liver Unit (TGLU), Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Matthew J Armstrong
- Liver Unit, Queen Elizabeth University Hospital Birmingham, Birmingham, UK
- Birmingham NIHR Biomedical Research Centre, University of Birmingham, Birmingham, UK
| | - Jonathan G Stine
- Department of Medicine, Division of Gastroenterology and Hepatology, Penn State Health-Milton S. Hershey Medical Centre, Hershey, Pennsylvania, USA
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He Q, Wu Y, Xu G, Zhang Z, Gao D, Nie L, Du Q. Predictive model for recurrence of incisional hernia constructed by CT abdominal wall imaging features. BMC Surg 2025; 25:227. [PMID: 40413435 DOI: 10.1186/s12893-025-02838-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 03/12/2025] [Indexed: 05/27/2025] Open
Abstract
BACKGROUND The recurrence rate after incisional hernia surgery is the most important concern for patients and surgeons, which not only causes pain to the patient but also adds additional medical costs. This study aims to investigate CT imaging features based on abdominal wall mechanics for recurrence after incisional hernia surgery. MATERIALS AND METHODS We collected data from patients who were diagnosed with incisional hernia and underwent hernia repair from January 2017 to January 2022 in Shanxi Provincial People's Hospital. Based on Laplace's equation, an equation for spherical wall pressure, we further measured the preoperative abdominal wall thickness and abdominal wall radius of the patients by CT and measured the abdominal wall muscle area and visceral fat area at the third lumbar level by using Slice-O-Matic 5.0 software, and the sarcopenia index was further obtained by dividing the muscle area by the square of the height. Then, we analyzed their relationship with the postoperative recurrence of incisional hernia. RESULTS By univariate and multifactorial analyses, we found that excessive visceral adiposity, high BMI and sarcopenia were independent risk factors for incisional hernia recurrence. In further stratified analysis, we also found that patients with combined sarcopenia had a higher probability of recurrence. Our results found that visceral fat was a higher risk factor for incisional hernia recurrence than BMI. CONCLUSION This study was a retrospective study. Based on the Laplace equation, sarcopenia and visceral fat are independent risk factors for recurrence after incisional hernia.
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Affiliation(s)
- Qi He
- The Second Department of General Surgery, Shaanxi Provincial People's Hospital, 256 West Youyi Road, Xi'an, Shaanxi, 710061, China
- Department of General Surgery, Xizang Minzu University, 6 West Wenhui Road, Xianyang, Shaanxi, 712082, China
| | - Yunhua Wu
- The Second Department of General Surgery, Shaanxi Provincial People's Hospital, 256 West Youyi Road, Xi'an, Shaanxi, 710061, China
| | - Gexin Xu
- The Second Department of General Surgery, Shaanxi Provincial People's Hospital, 256 West Youyi Road, Xi'an, Shaanxi, 710061, China
- Department of General Surgery, Xizang Minzu University, 6 West Wenhui Road, Xianyang, Shaanxi, 712082, China
| | - Zhixing Zhang
- The Second Department of General Surgery, Shaanxi Provincial People's Hospital, 256 West Youyi Road, Xi'an, Shaanxi, 710061, China
| | - Dejan Gao
- The Second Department of General Surgery, Shaanxi Provincial People's Hospital, 256 West Youyi Road, Xi'an, Shaanxi, 710061, China
- Department of General Surgery, Xizang Minzu University, 6 West Wenhui Road, Xianyang, Shaanxi, 712082, China
| | - Lingzhi Nie
- The Second Department of General Surgery, Shaanxi Provincial People's Hospital, 256 West Youyi Road, Xi'an, Shaanxi, 710061, China
| | - Qingguo Du
- The Second Department of General Surgery, Shaanxi Provincial People's Hospital, 256 West Youyi Road, Xi'an, Shaanxi, 710061, China.
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Wu Y, Cheng G, Han J, Yang Q. Myosteatosis and the survival of patients with hepatocellular carcinoma: a meta-analysis. Clin Exp Med 2025; 25:164. [PMID: 40377729 PMCID: PMC12084174 DOI: 10.1007/s10238-025-01671-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2025] [Accepted: 04/04/2025] [Indexed: 05/18/2025]
Abstract
Myosteatosis, characterized by fat infiltration into skeletal muscle, is increasingly recognized as a prognostic factor in hepatocellular carcinoma (HCC), although the results were not consistent. This meta-analysis aimed to summarize impact on overall survival (OS) and progression-free survival (PFS) in patients with HCC.A systematic search of PubMed, Embase, and Web of Science was conducted to identify observational studies reporting survival outcomes in HCC patients with and without myosteatosis. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random-effects model. A total of 24 retrospective cohort studies involving 7436 HCC patients were included. Myosteatosis was significantly associated with poorer OS (HR: 1.60, 95% CI: 1.40-1.83, p < 0.001, I2 = 65%) and PFS (HR: 1.53, 95% CI: 1.33-1.76, p < 0.001, I2 = 36%). Subgroup analysis revealed a stronger association in Asian studies (HR: 1.74 for OS; 1.57 for PFS) compared to European studies (HR: 1.08 for OS; 1.05 for PFS). The prognostic impact remained significant regardless of anticancer treatment type, myosteatosis assessment method, sex-specific or universal cutoff values, and follow-up duration (p for subgroup differences all > 0.05). The results remained significant in studies adjusting for sarcopenia (HR: 1.89 for OS; 1.50 for PFS). Meta-regression analyses did not suggest any of the following variables may affect the results, including sample size, mean ages of the patients, proportions of men, follow-up durations, and study quality scores (p all > 0.05).Myosteatosis is independently associated with worse survival in HCC patients, particularly in Asian populations. These findings highlight the significance of assessing muscle quality as a prognostic factor in HCC.
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Affiliation(s)
- Yongjuan Wu
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No. 136 Jingzhou Street, Xiangcheng District, Xiangyang, 441021, Hubei Province, China
| | - Guangyuan Cheng
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No. 136 Jingzhou Street, Xiangcheng District, Xiangyang, 441021, Hubei Province, China
| | - Jun Han
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No. 136 Jingzhou Street, Xiangcheng District, Xiangyang, 441021, Hubei Province, China
| | - Qingsong Yang
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No. 136 Jingzhou Street, Xiangcheng District, Xiangyang, 441021, Hubei Province, China.
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Jeong H, Ko Y, Kim KW, Lee JS, Seo S, Kim SY, Hong YS, Kim JE, Kim TW. Longitudinal changes in body composition during palliative systemic chemotherapy and survival outcomes in metastatic colorectal cancer. World J Gastrointest Oncol 2025; 17:103479. [DOI: 10.4251/wjgo.v17.i5.103479] [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: 11/20/2024] [Revised: 02/22/2025] [Accepted: 04/15/2025] [Indexed: 05/15/2025] Open
Abstract
BACKGROUND In patients with metastatic colorectal cancer, chemotherapy may lead to changes in body composition, including skeletal muscle quantity and quality, and body fat area and distribution. Longitudinal follow-up data in a homogeneous population are required to understand these changes better.
AIM To comprehensively evaluate changes in body composition and their prognostic value in patients with metastatic colorectal cancer undergoing palliative chemotherapy.
METHODS This retrospective study included patients with recurrent or metastatic colorectal cancer who received palliative chemotherapy between 2008 and 2017. Computed tomography scans were analyzed at multiple time points (before each new chemotherapy regimen and after discontinuing all chemotherapy). Body composition was analyzed from each scan using artificial intelligence software (AID-UTM, iAID Inc.), and its association with survival was evaluated through time-dependent Cox regression to adjust for time-varying effects.
RESULTS This analysis included 1805 patients, with a median age at diagnosis of 57 years, and 62% were male. At first-line chemotherapy initiation, 4.7%, 30.9%, 36.5%, and 37.1% of the patients had sarcopenia, myosteatosis, and visceral and subcutaneous obesity, respectively. During treatment, approximately 54.5% of the patients experienced significant changes in body composition, with 9.1% and 19.2% developing new sarcopenia and myosteatosis, respectively. Sarcopenia and myosteatosis were associated with poorer survival outcomes [hazard ratio (HR) for sarcopenia, 2.55 (95%CI: 2.06-3.16, P < 0.001; HR for myosteatosis, 2.37 (95%CI: 2.00-2.82), P < 0.001]. In contrast, visceral and subcutaneous obesity were associated with improved survival [HR for visceral obesity, 0.69 (95%CI: 0.57-0.82), P < 0.001; HR for subcutaneous obesity, 0.78 (95%CI: 0.64-0.95), P = 0.015], with no negative impacts observed at higher fat levels. These changes correlated with end-of-life survival time.
CONCLUSION Abnormalities and body composition changes were frequently observed during palliative chemotherapy for advanced colorectal cancer; myosteatosis was common. Comprehensive body composition assessment offers valuable prognostic insights without requiring additional testing.
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Affiliation(s)
- Hyehyun Jeong
- Department of Oncology, Asan Medical Center, Seoul 05505, South Korea
| | - Yousun Ko
- Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, South Korea
| | - Kyung Won Kim
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, South Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Medical Center, Asan Medical Center, Seoul 05505, South Korea
| | - Seyoung Seo
- Department of Oncology, Asan Medical Center, Seoul 05505, South Korea
| | - Sun Young Kim
- Department of Oncology, Asan Medical Center, Seoul 05505, South Korea
| | - Yong Sang Hong
- Department of Oncology, Asan Medical Center, Seoul 05505, South Korea
| | - Jeong Eun Kim
- Department of Oncology, Asan Medical Center, Seoul 05505, South Korea
| | - Tae Won Kim
- Department of Oncology, Asan Medical Center, Seoul 05505, South Korea
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Ju C, Yao L, Yoon SY, Lenchik L, Johnston A, Derry LT, Hom J, Svec D, Chaudhari AS, Boutin RD. Defining Reference Values for Skeletal Muscle Metrics on Abdominal CT Using Data From Healthy Young Adult Populations: A Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2025. [PMID: 40334088 DOI: 10.2214/ajr.25.32781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2025]
Abstract
BACKGROUND. CT muscle metrics hold promise for opportunistic sarcopenia screening and individualized clinical risk stratification, but reference values applicable across broad populations are lacking. OBJECTIVE. To estimate reference cutoff values for CT skeletal muscle metrics using data from populations of healthy young adults. EVIDENCE ACQUISITION. The PubMed, Embase, Cochrane Library, Web of Science, and Scopus databases were searched through January 1, 2025 for studies reporting skeletal muscle index (SMI) and/or skeletal muscle density (SMD) on CT at the L3 vertebral level in healthy young adults (age range, 18-45 years). For SMI and SMD in both men and women, a random effects meta-analysis was used to estimate interstudy SD (as a measure of variance among studies) and mean values for a theoretic global population of healthy young adults. Presence of significant heterogeneity among individual study means was assessed using the Q statistic. Cutoff values for the theoretic global population corresponding with a T-score of -2 (i.e., values ≥ 2 SDs below the population's mean value) were calculated, incorporating the meta-analysis results and pooled intrastudy variance. EVIDENCE SYNTHESIS. The meta-analysis included 14 studies (16,958 individuals; 11,819 men, 5139 women) reporting SMI, of which seven studies (11,175 individuals; 8372 men, 2803 women) also reported SMD. The estimated global mean value for SMI was 54.6 in men and 42.4 in women and for SMD was 47.4 HU in men and 43.6 HU in women. The interstudy SD for SMI was 5.4 in men and 4.3 in women and for SMD was 1.9 in men versus 3.2 in women; significant heterogeneity was present among individual study means for both SMI and SMD in both men and women (all p<.001). The cutoff value corresponding with a T-score of -2 for SMI was 36.3 in men and 27.5 in women and for SMD was 36.4 HU in men and 28.1 HU in women. CONCLUSION. This meta-analysis of studies performed in healthy young adults provides reference mean values and standardized cutoffs analogous to a T-score of -2 for SMI and SMD at the L3 level on abdominal CT. CLINICAL IMPACT. These results can aid opportunistic screening for sarcopenia.
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Affiliation(s)
- Connie Ju
- Department of Radiology, Stanford University School of Medicine, 453 Quarry Road MC 5659, Palo Alto, CA 94304
| | - Lawrence Yao
- Radiology and Imaging Sciences, NIH Clinical Center, 10 Center Drive, Bethesda, MD 20892
| | - Se-Young Yoon
- Department of Radiology, Stanford University School of Medicine, 453 Quarry Road MC 5659, Palo Alto, CA 94304
| | - Leon Lenchik
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157
| | - Andrew Johnston
- Department of Radiology, Stanford University School of Medicine, 453 Quarry Road MC 5659,Palo Alto, CA 94304
| | - Laura T Derry
- Department of Medicine, Stanford University School of Medicine, 300 Pasteur Dr. MC 5406, Stanford, CA 94305
| | - Jason Hom
- Department of Medicine, Stanford University School of Medicine, 500 Pasteur Dr., Stanford, CA 94305
| | - David Svec
- Department of Medicine, Stanford University School of Medicine, 500 Pasteur Dr., Stanford, CA 94305
| | - Akshay S Chaudhari
- Department of Biomedical Data Science, Integrative Biomedical Imaging Informatics at Stanford (IBIIS), Stanford University, 318 Campus Drive, S255, Stanford, CA 94305
| | - Robert D Boutin
- Department of Radiology, Stanford University School of Medicine, 453 Quarry Road MC 5659, Palo Alto, CA 94304
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Tian M, Xu H, Wang H, Wang H, Dai Z, Ding C, Guo H, Jin X. Pretreatment Computed Tomography-Defined Sarcopenia, Treatment-Associated Muscle Loss, and Survival in Patients With Cervical Cancer: A Systematic Review and Meta-Analysis. Nutr Rev 2025; 83:797-808. [PMID: 39340837 DOI: 10.1093/nutrit/nuae130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/30/2024] Open
Abstract
CONTEXT Sarcopenia has been identified as a potential predictor of poor prognosis in various types of cancer. However, the impact of pretreatment sarcopenia and the reduction of skeletal muscle mass during treatment on survival outcomes of patients with cervical cancer is still not well understood. OBJECTIVE This meta-analysis was conducted to investigate the impact of pretreatment sarcopenia and treatment-associated muscle loss on survival outcomes in patients with cervical cancer. DATA SOURCES The PubMed, EMBASE, Web of Science, and Cochrane Library databases were searched for studies exploring the relationship between muscle loss and the prognosis of cervical cancer until January 1, 2023. DATA EXTRACTION The hazard ratios (HRs) and 95% CIs for overall survival (OS) and progression-free survival (PFS) were extracted. DATA ANALYSIS The data were analyzed using R software. The studies' quality was assessed using the Quality in Prognostic Studies tool. Twelve observational studies involving 1498 patients with cervical cancer were included in the analysis, with a prevalence of sarcopenia ranging from 24.8% to 57.5%. Sarcopenia was an independent predictor of poor OS (HR, 1.68; 95% CI, 1.28-2.21; P < .01) and PFS (HR, 1.53; 95% CI, 1.19-1.98; P < .01) in patients with cervical cancer. Additionally, the decrease in skeletal muscle during treatment was also significantly related to the OS (HR, 4.46; 95% CI, 2.87-6.94; P < .01) and PFS (HR, 2.89; 95% CI. 1.83-4.55; P < .01). CONCLUSIONS The prevalence of pretreatment sarcopenia was high among patients with cervical cancer. Pretreatment sarcopenia and skeletal muscle loss during treatment both negatively affected prognosis in cervical cancer.
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Affiliation(s)
- Mengxing Tian
- Department of Clinical Nutrition, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China
| | - Huiting Xu
- Department of Abdominal Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China
| | - Hongbin Wang
- Department of Gynecology and Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China
| | - Huifen Wang
- Nursing Department, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China
| | - Zhu Dai
- Department of Clinical Nutrition, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China
| | - Chenchen Ding
- Department of Clinical Nutrition, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China
| | - Huan Guo
- Department of Clinical Nutrition, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China
| | - Xin Jin
- Department of Clinical Nutrition, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, China
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Otaka K, Osawa Y, Takegami Y, Iida H, Funahashi H, Imagama S. Fatty infiltration of periarticular muscles in patients with osteonecrosis of the femoral head. INTERNATIONAL ORTHOPAEDICS 2025; 49:1073-1080. [PMID: 39976738 PMCID: PMC12003464 DOI: 10.1007/s00264-025-06457-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2025] [Accepted: 02/12/2025] [Indexed: 04/17/2025]
Abstract
PURPOSE Muscle mass and fatty infiltration can be assessed on computed tomography (CT) images using the cross-sectional area (CSA) and computed tomography attenuation value (CTV). Femoral head collapse in osteonecrosis of the femoral head (ONFH) may affect both values. We investigated factors influencing the CSA and CTV of the periarticular muscles in patients with ONFH. METHODS Overall, 101 patients with ONFH with unilateral hip pain (stage 2, 24 patients; stage 3 A, 49 patients; and stage 3B, 28 patients) were included. The CSA and mean CTV of the bilateral gluteus maximus (Gmax), gluteus medius (Gmed), gluteus minimus (Gmin), and iliopsoas (IP) muscles were measured using CT cross-sections. Bilateral comparisons and associations with Japanese Investigation Committee (JIC) stage were analysed. Multiple regression analysis was used to evaluate factors associated with the CSA and CTV. RESULTS On the symptomatic side, the CSA was significantly lower for the Gmax, Gmed, and IP, whereas the CTV was significantly lower for all tested muscles (all p < 0.01). The CTV, but not the CSA, of the Gmax, Gmed, and Gmin was significantly associated with the JIC stage severity bilaterally (all p < 0.01). Multiple regression analysis showed significant associations of the CTV with age, sex, and JIC stage (all p < 0.01). CONCLUSION Symptomatic ONFH leads to decreased muscle mass and increased fatty infiltration. Femoral head collapse progression is associated with a decrease in the CTV. Periarticular muscle assessment, including on the contralateral side, is important in patients with ONFH, particularly in older women.
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Lortie J, Ufearo D, Hetzel S, Pickhardt PJ, Szczykutowicz TP, Kuchnia AJ. Validating a Practical Correction for Intravenous Contrast on Computed Tomography-Based Muscle Density. J Comput Assist Tomogr 2025; 49:480-485. [PMID: 39761492 PMCID: PMC12071502 DOI: 10.1097/rct.0000000000001682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 09/06/2024] [Indexed: 05/15/2025]
Abstract
OBJECTIVE Computed tomography (CT) measured muscle density is prognostic of health outcomes. However, the use of intravenous contrast obscures prognoses by artificially increasing CT muscle density. We previously established a correction to equalize contrast and noncontrast muscle density measurements. While this correction was validated internally, the objective of this study was to obtain external validation using different patient cohorts, muscle regions, and CT series. METHODS CT images from 109 patients with kidney tumors who received abdominal CT scans with a multiphase intravenous contrast protocol were analyzed. Paraspinal muscle density measurements taken during noncontrast, venous phase, and delayed phase contrast scans were collected. An a priori correction of -7.5 Hounsfield units (HU) was applied to muscle measurements. Equivalence testing was utilized to determine statistical similarity. RESULTS In the sample of 109 patients (mean age: 63 years [SD: 14.3]; 41.3% female), densities in smaller regions of interest within the paraspinal muscles and the entire paraspinal muscle density (PS) in venous and delayed phase contrast scans were higher than in noncontrast. Equivalence testing showed that average corrected contrast and noncontrast muscle densities were within 3 HU for both muscle measures for the total patient sample, and for a majority of male and female subsamples. The correction is suitable for regions of interests of venous contrast (90% CI: -1.90, -0.69 HU) and delayed contrast scans (90% CI: 0.075, 1.29 HU) and within the PS measures of venous contrast (90% CI: -2.04, -0.94 HU) and delayed contrast scans (90% CI: -0.11, 0.89 HU). CONCLUSIONS The previously established correction for contrast of -7.5 HU was applied in a new patient population, axial muscle region, muscle measurement size, and expanded on previously studied contrast phases. The correction produced contrast-corrected muscle densities that were statistically equivalent to noncontrast muscle densities. The simplicity of the correction gives clinicians a tool that seamlessly integrates into practice or research to improve harmonization of data between contrast and noncontrast scans.
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Affiliation(s)
- Jevin Lortie
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI
| | - Deborah Ufearo
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI
| | - Scott Hetzel
- Institute for Clinical and Translational Research, University of Wisconsin-Madison, Madison, WI
| | | | - Timothy P. Szczykutowicz
- Department of Radiology, University of Wisconsin-Madison, Madison, WI
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI
| | - Adam J. Kuchnia
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI
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Calia M, Rebora P, Gandola D, Norsa L, Maino C, Romanchuk A, Sansotta N, Panceri R, Valle C, Valsecchi MG, Biondi A, Ippolito D, Zuin G. Investigating sarcopenia in pediatric Crohn's Disease with magnetic resonance enterography: An observational study. Clin Nutr ESPEN 2025; 68:14-21. [PMID: 40315990 DOI: 10.1016/j.clnesp.2025.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2025] [Revised: 04/17/2025] [Accepted: 04/23/2025] [Indexed: 05/04/2025]
Abstract
BACKGROUND AND AIMS Sarcopenia has a negative impact on clinical outcome in adult patients with Crohn's Disease (CD), but data on children are scarce. The aim of this study is to evaluate the prevalence of sarcopenia in children with CD using magnetic resonance enterography (MRE) and describe its relationship with baseline values and clinical outcome. METHODS We included children with a new diagnosis of CD from 2 tertiary referral pediatric Inflammatory Bowel Disease (IBD) centres, who underwent MRE at diagnosis between 2013 and 2023. Muscle mass was assessed by measuring the total area of the total psoas muscle (tPMA) at the level of the fourth and fifth lumbar vertebrae (L4/L5). Data were compared with pediatric reference values of tPMA, and sarcopenia was defined as a tPMA below the 3rd percentile. Demographic and anthropometric data, laboratory results, clinical disease activity and endoscopic index were collected at diagnosis and during follow-up. Clinical outcomes included relapse frequency, treatment changes, surgery, and IBD-related complications. RESULTS A total of 74 children (25 females, mean age 13.2 years) with CD were enrolled in the study. Sarcopenia was present in 34/74 patients (46 %) at diagnosis. Patients with sarcopenia had a lower Body Mass Index z-score and hemoglobin levels. Clinical disease activity (assessed using the Pediatric CD Activity Index) and endoscopic activity (assessed using the Simple Endoscopic Score for CD) were significantly higher in sarcopenic compared to non-sarcopenic children (median and quartiles scores: 25 [20, 40] vs. 21 [13, 35] and 10 [5, 13] vs. 6 [3, 13], respectively). During the follow-up period (median: 35 months; range: 1-99 months), no significant differences were observed between the sarcopenic and non-sarcopenic groups in terms of the composite outcome (defined as the occurrence of at least one unfavorable event). However, the rate of flares (number per person-year) was also higher in sarcopenic children compared to non-sarcopenic ones (27 % vs. 15 %; p = 0.0679). CONCLUSIONS Sarcopenia is highly prevalent among children with CD at diagnosis. MRE-based muscle mass measurement correlates with traditional anthropometric measurements and can be valuable for comprehensive nutritional screening in pediatric CD patients. Patients with sarcopenia presented with more severe clinical, laboratory, and endoscopic findings at diagnosis; although sarcopenic children experienced more clinical relapses we were not able to show a significant association between sarcopenia and outcomes. Larger series need to be studied.
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Affiliation(s)
- Margherita Calia
- Department of Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Paola Rebora
- Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Biostatistics and Clinical Epidemiology, Fondazione IRCCS San Gerardo dei Tintori, Italy
| | - Davide Gandola
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Lorenzo Norsa
- Pediatric Department, Vittore Buzzi Children's Hospital, University of Milan, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Anastasiia Romanchuk
- Pediatric Hepatology Gastroenterology and Transplantation Unit, ASST Papa Giovanni XXIII, Bergamo, Italy; Department of Pediatrics, Pediatric Infectious Diseases, Immunology and Allergology, Shupyk National Healthcare University of Ukraine, Ukraine
| | - Naire Sansotta
- Pediatric Hepatology Gastroenterology and Transplantation Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Roberto Panceri
- Department of Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Clarissa Valle
- Radiology Department, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Maria Grazia Valsecchi
- Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Biostatistics and Clinical Epidemiology, Fondazione IRCCS San Gerardo dei Tintori, Italy
| | - Andrea Biondi
- Department of Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy; School of Medicine and Surgery, University of Milano Bicocca, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy; School of Medicine and Surgery, University of Milano Bicocca, Italy
| | - Giovanna Zuin
- Department of Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
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10
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Fu B, Hu L, Ji H, Hou YF. New research progress of sarcopenia in surgically resectable malignant tumor diseases. World J Clin Oncol 2025; 16:100309. [PMID: 40290699 PMCID: PMC12019273 DOI: 10.5306/wjco.v16.i4.100309] [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: 08/13/2024] [Revised: 01/23/2025] [Accepted: 03/06/2025] [Indexed: 03/26/2025] Open
Abstract
With the aging global population, the decline in muscle mass and function among the elderly has emerged as a significant concern. This systemic progressive generalized loss of muscle function and mass is referred to as sarcopenia (SP). In recent years, a growing number of studies have investigated SP, revealing that many tumor diseases, especially in the digestive system, promote its occurrence due to the influence of the disease itself, diet, and other factors. Moreover, SP patients tend to have poorer postoperative recovery. At present, many diagnostic methods have been developed for SP, but no unified standard has been established. Furthermore, the cutoff values of many diagnostic methods for different populations are still in the exploratory stage, and additional clinical studies are required to explore these issues. This article comprehensively and systematically summarizes the diagnostic methods and criteria mentioned in previous research, focusing on the impact of SP on post-surgical patients with various malignant tumors.
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Affiliation(s)
- Bing Fu
- Department of Hepatobiliary Surgery, Tongling People's Hospital (Tongling Hospital Affiliated to Bengbu Medical University), Tongling 244000, Anhui Province, China
| | - Lei Hu
- Department of Hepatobiliary Surgery, Tongling People's Hospital (Tongling Hospital Affiliated to Bengbu Medical University), Tongling 244000, Anhui Province, China
| | - Hui Ji
- Department of Hepatobiliary Surgery, Tongling People's Hospital (Tongling Hospital Affiliated to Bengbu Medical University), Tongling 244000, Anhui Province, China
| | - Ya-Feng Hou
- Department of Hepatobiliary Surgery, Tongling People's Hospital (Tongling Hospital Affiliated to Bengbu Medical University), Tongling 244000, Anhui Province, China
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11
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Weerink LBM, van Leeuwen BL, Kwee TC, Lamoth CJC, van Munster BC, de Bock GH. Co-occurrence of CT-based radiological sarcopenia and frailty are related to impaired survival in surgical oncology. Br J Radiol 2025; 98:607-613. [PMID: 39921891 PMCID: PMC11919072 DOI: 10.1093/bjr/tqaf023] [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: 06/13/2024] [Revised: 12/12/2024] [Accepted: 01/24/2025] [Indexed: 02/10/2025] Open
Abstract
OBJECTIVES The objective of this study was to investigate the association of radiological sarcopenia and frailty with postoperative outcomes in adult patients undergoing oncological surgery. METHODS Data were derived from the PICNIC study, consisting of two consecutive series of patients undergoing surgical cancer treatment. Radiological sarcopenia was assessed based on CT imaging. The presence of low muscle mass and/or low muscle density was determined based on lowest quartile gender specific cut-off values. Frailty was defined by a score of ≥4 on the Groningen frailty index. Postoperative overall survival was analysed with Kaplan-Meier curves and Logrank testing. Multivariable Cox regression analyses adjusted for age and gender were performed to calculate adjusted hazard ratios (HR). RESULTS A total of 372 patients were included. Median age was 69 (28-86) years, 77 patients (23.5%) were frail and radiological sarcopenia was present in 134 patients (41.0%). Combined radiological sarcopenia and frailty was present in 35 patients (10.7%). One-year (65.6% versus 87.0%) and three-year survival (31.4% versus 66.8%) were significantly worse in patients with combined radiological sarcopenia and frailty. The combined presence of radiological sarcopenia and frailty was associated with significantly decreased overall survival (HRadjusted: 2.06, 95% CI: 1.39-3.05, P < .001). CONCLUSION Co-occurrence of radiological sarcopenia and frailty is strongly related to impaired survival in surgical cancer patients. ADVANCES IN KNOWLEDGE The combined presence of radiological sarcopenia and frailty is associated with decreased postoperative survival, strongly exceeding the effects of both risk factors separately. The use of radiological sarcopenia in addition to frailty screening can further optimize preoperative risk stratification.
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Affiliation(s)
- Linda B M Weerink
- Department of Epidemiology, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
- Department of Radiology, Regional Hospital Queen Beatrix, 7101 BN Winterswijk, The Netherlands
| | - Barbara L van Leeuwen
- Department of Surgery, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
| | - Claudine J C Lamoth
- Department of Human Movement Sciences, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
| | - Barbara C van Munster
- Department of Internal Medicine, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
| | - Geertruida H de Bock
- Department of Epidemiology, University Medical Center Groningen, 9700 RB Groningen, The Netherlands
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12
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Alayón LF, Salas-Salas B, Palmas-Candia FX, Diaz-Saavedra R, Ramos-Ortiz A, Lara PC, Sáez-Bravo ML. Artificial intelligence in dysphagia assessment: evaluating lingual muscle composition in head and neck cancer. Clin Transl Oncol 2025:10.1007/s12094-025-03900-6. [PMID: 40131688 DOI: 10.1007/s12094-025-03900-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Accepted: 03/03/2025] [Indexed: 03/27/2025]
Abstract
PURPOSE Oropharyngeal dysphagia is a common and debilitating condition in head and neck cancer (HNC) patients. This study aimed to evaluate the relationship between tongue muscle composition (quantity and quality) and the risk of dysphagia in non-surgically treated HNC patients, using artificial intelligence (AI) analysis of pretreatment computed tomography (CT) scans. METHODS A prospective analysis was conducted on 41 non-surgically treated HNC patients under-going curative radiotherapy. Tongue muscle quantity was measured as cross-sectional area (cm2) and as a percentage of body composition using AI-based segmentation of CT images. Muscle quality was assessed through Hounsfield Units (HU), representing muscle density. Dysphagia risk was evaluated with the validated EAT-10 questionnaire, considering scores ≥ 3 as indicative of increased risk. RESULTS A significant association was found between EAT-10 categorical scores and dysphagia risk (Chi2 = 26.07, p < 0.0001). However, no significant correlation was observed between the percentage of tongue muscle and density (R = 0.081, p = 0.07). Patients with EAT-10 scores ≥ 3 had significantly larger percentages of tongue muscle area (mean 61.17 ± 10.44 cm2) compared to those with EAT-10 < 3 (mean 56.58 ± 5.77 cm2; p = 0.004). Additionally, higher tongue muscle density (HU) was associated with increased dysphagia risk (p = 0.046). A significant association was also observed between pre-treatment and post-treatment dysphagia, with patients who reported pre-treatment dysphagia (EAT-10 ≥ 3) continuing to experience higher post-treatment dysphagia (p = 0.009, R = 0.411). Biologically Effective Dose (BED) (p = 0.0042), advanced tumor stage (p = 0.004), and systemic treatment (p = 0.027) were further associated with increased post-treatment dysphagia risk. CONCLUSIONS The study demonstrates that non-surgically treated HNC patients with increased tongue area percentages and higher muscle density are at greater risk of dysphagia. Additionally, pre-treatment dysphagia was found to be a strong predictor of post-treatment dysphagia. The use of AI-based CT analysis provides a precise method for identifying patients at risk, allowing for timely interventions to improve swallowing function and quality of life.
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Affiliation(s)
- Laura Ferrera Alayón
- Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain
- Las Palmas de Gran Canaria University (ULPGC), Las Palmas de Gran Canaria, Spain
| | - Barbara Salas-Salas
- Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain
| | | | - Raquel Diaz-Saavedra
- Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain
| | - Anais Ramos-Ortiz
- Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain
| | - Pedro C Lara
- Fernando Pessoa Canarias University, Las Palmas de Gran Canaria, Spain.
| | - Marta Lloret Sáez-Bravo
- Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain
- Las Palmas de Gran Canaria University (ULPGC), Las Palmas de Gran Canaria, Spain
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13
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Liu X, Gao M, Li Z, Wang L, Wang W, Yue Y, Guo Y, He X, Lyu L, Wang G. Optimal lumbar vertebral level for trunk muscle CT assessments in opportunistic sarcopenia screening: a cross-sectional study. BMJ Open 2025; 15:e083165. [PMID: 40082009 PMCID: PMC11907023 DOI: 10.1136/bmjopen-2023-083165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/17/2025] [Indexed: 03/16/2025] Open
Abstract
OBJECTIVES This study aims to identify the optimal lumbar vertebral level for CT-based assessments of trunk muscles in relation to physical function and muscle strength, and to establish a foundation for opportunistic CT screening for sarcopenia. DESIGN A cross-sectional study was conducted between April 2022 and December 2022. Pearson's correlation coefficients and multiple linear regression analyses were employed to estimate the correlation between CT parameters of trunk muscle with physical function and muscle strength. SETTING AND PARTICIPANTS The study included community residents aged 50 years and older from Kunming, Yunnan Province, China, who were part of the SOY (Sarcopenia and Osteoporosis Study of Yunnan) cohort. A total of 615 participants were enrolled, comprising 424 men and 191 women. Among these, 31 individuals (20 men and 11 women) were diagnosed with sarcopenia. INTERVENTIONS Each participant underwent lumbar CT scanning, the Short Physical Performance Battery (SPPB) and handgrip strength (HGS) assessment. PRIMARY OUTCOME MEASURES A correlation analysis was conducted for both the general and sarcopenia groups, after adjusting for age and body mass index. Additionally, a gender-stratified analysis was performed. RESULTS Muscle density and muscle area at all levels exhibited a moderate correlation with grip strength, with the correlation for muscle area being more pronounced (correlation β of muscle density =0.48-0.54, p value <0.001; correlation β of muscle area=0.66-0.68, p value <0.001). However, only muscle density demonstrated a weak correlation in the correlation analysis with SPPB (correlation β of muscle density =0.09-0.12, p value <0.01). When stratified by gender, trunk muscle attenuation at the L1 vertebral level in the male group showed a more pronounced correlation with physical performance (L1-βHGS =0.25, p value <0.001 vs L2-L5-βHGS =0.16-0.19, p value =0.01-0.04; L1-βSPPB =0.31, p value <0.001 vs L2-L5-βSPPB =0.23-0.29, p value <0.01). In the female cohort, both the muscle area and muscle density at all levels showed correlations with grip strength, and the muscle area at L3 vertebrae showed the best performance (L3-βHGS =0.23, p value <0.001). In the sarcopenia group, the L1 level correlates better with HGS and SPPB than other levels. (L1-βHGS =0.54, p value =0.03 and L1-βSPPB =-0.35, p value =0.04). CONCLUSIONS In this study, the area and density of lumbar muscles based on CT showed correlations of varying degrees with grip strength or SPPB. The L1 layer exhibited superior performance in those aged more than 50 years, especially in the male and sarcopenia groups. This study suggests that CT-based muscle assessment at the L1 vertebra may be a feasible option for opportunistic sarcopenia screening. TRIAL REGISTRATION NUMBER ChiCTR210005215; Pre-results.
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Affiliation(s)
- Xingli Liu
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Meng Gao
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Zhonglin Li
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Wu Wang
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Yan Yue
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Yinghai Guo
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Xiao He
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Liang Lyu
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Gang Wang
- Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
- Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
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14
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Robba T, Chianca V, Rabino M, Cesaro E, Molea F, Boglione A, Desi GL, Pellegrino P, Boffano M, De Meo S, Merlini A, Santoro F, Linari A, Levis M, Sandrucci S, Comandone A, Grignani G, Piana R, D'Ambrosio L. Sarcopenia is a negative prognostic factor in localized extremities/trunk wall soft tissue sarcomas. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2025; 51:109746. [PMID: 40120351 DOI: 10.1016/j.ejso.2025.109746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Revised: 02/19/2025] [Accepted: 03/05/2025] [Indexed: 03/25/2025]
Abstract
OBJECTIVE Sarcopenia is an emerging determinant of oncologic patients' prognosis, but few data are available in extremities and trunk wall soft tissue sarcomas (ESTS). The aim was to evaluate sarcopenia impact on outcomes of patients affected by ESTS. METHODS Through SliceOMatic software we selected cross-sectional skeletal muscle area (SMA), subcutaneous fat area (SFA) and visceral fat area (VFA) on a basal CT-slice at level of the third lumbar vertebra. Muscle density (MD) was computed in Hounsfield units (HU). Skeletal mass index (SMI, cm2/m2) was computed by normalizing SMA for the square of patient's height. Cut-offs for SMI were 52 and 39 cm2/m2 for men and women, respectively, while we used median values for MD, SFA and VFA. We explored the correlation of the different parameters with post-surgical complications and survival outcomes (Kaplan-Meier method). RESULTS 268 patients were included. Median SMAs, SMIs and MD were 155.7 cm2, 51.2 cm2/m2, and 33.8 HU for men, 91.4 cm2, 39.2 cm2/m2, and 30.4 HU for women. Sarcopenia rate was not significantly higher in patients ≥65 years nor according to baseline prognostic factors (Sarculator app). Overall survival (OS) was significantly worse for sarcopenic patients: median OS 111.7 months (95%CI 72.8-150.6) vs not reached (NR; HR = 1.55, 95%CI:1.00-2.41, p = 0.049) for low-vs high-SMI; median OS 79.6 months (38.6-120.6) vs NR (HR 2.11, 1.34-3.34, p = 0.001) for low-vs high-MD, respectively. Sarcopenic patients showed increased post-surgical complications (30.5 % vs 17.0 %, p = 0.073). CONCLUSION Although retrospective, our study suggests to further explore sarcopenia as a negative prognostic factor in ESTS patients.
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Affiliation(s)
- Tiziana Robba
- Radiologia, Ospedale CTO, AOU Città della Salute e della Scienza di Torino, Italy
| | - Vito Chianca
- Clinica di Radiologia EOC IIMSI, Lugano, Switzerland
| | - Martina Rabino
- Università degli Studi di Torino Dipartimento di Oncologia, Italy; AOU San Luigi Gonzaga, Orbassano (Torino), Italy.
| | - Edoardo Cesaro
- Department of Precision Medicine, Università degli Studi della Campania "L. Vanvitelli", Italy
| | - Francesca Molea
- Radiologia, Ospedale CTO, AOU Città della Salute e della Scienza di Torino, Italy
| | | | - Gian Luca Desi
- Radiologia, Ospedale CTO, AOU Città della Salute e della Scienza di Torino, Italy
| | - Pietro Pellegrino
- Ortopedia Oncologica, Ospedale CTO, AOU Città della Salute e della Scienza di Torino, Italy
| | - Michele Boffano
- Ortopedia Oncologica, Ospedale CTO, AOU Città della Salute e della Scienza di Torino, Italy
| | - Simone De Meo
- Ortopedia Oncologica, Ospedale CTO, AOU Città della Salute e della Scienza di Torino, Italy
| | - Alessandra Merlini
- Università degli Studi di Torino Dipartimento di Oncologia, Italy; AOU San Luigi Gonzaga, Orbassano (Torino), Italy
| | - Federica Santoro
- Anatomia Patologica, AOU Città della Salute e della Scienza di Torino, Italy
| | - Alessandra Linari
- Anatomia Patologica, AOU Città della Salute e della Scienza di Torino, Italy
| | - Mario Levis
- Università degli Studi di Torino Dipartimento di Oncologia, Italy; Radioterapia, AOU Città della Salute e della Scienza di Torino, Italy
| | - Sergio Sandrucci
- SSD Chirurgia dei Sarcomi e Tumori Rari Viscerali, AOU Città della Salute e della Scienza di Torino, Italy
| | | | - Giovanni Grignani
- Oncologia Medica, AOU Città della Salute e della Scienza di Torino, Italy; Medical Oncology, Candiolo Cancer Institute-FPO, IRCCS, Candiolo, Italy
| | - Raimondo Piana
- Ortopedia Oncologica, Ospedale CTO, AOU Città della Salute e della Scienza di Torino, Italy
| | - Lorenzo D'Ambrosio
- Università degli Studi di Torino Dipartimento di Oncologia, Italy; AOU San Luigi Gonzaga, Orbassano (Torino), Italy
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15
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Zhong P, Li X, Li J. Mechanisms, assessment, and exercise interventions for skeletal muscle dysfunction post-chemotherapy in breast cancer: from inflammation factors to clinical practice. Front Oncol 2025; 15:1551561. [PMID: 40104495 PMCID: PMC11913840 DOI: 10.3389/fonc.2025.1551561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2024] [Accepted: 02/13/2025] [Indexed: 03/20/2025] Open
Abstract
Chemotherapy remains a central component of breast cancer treatment, significantly improving patient survival rates. However, its toxic side effects, along with cancer-related paraneoplastic syndromes, can lead to the loss of skeletal muscle mass and function, impairing physical abilities and increasing the risk of complications during treatment. Chemotherapeutic agents directly impact skeletal muscle cells by promoting protein degradation, inhibiting protein synthesis, and triggering systemic inflammation, all of which contribute to muscle atrophy. Additionally, these drugs can interfere with the proliferation and differentiation of stem cells, such as satellite cells, disrupting muscle regeneration and repair while inducing abnormal differentiation of intermuscular tissue, thereby worsening muscle wasting. These effects not only reduce the effectiveness of chemotherapy but also negatively affect patients' quality of life and disease prognosis. Recent studies have emphasized the role of exercise as an effective non-pharmacological strategy for preventing muscle loss and preserving muscle mass in cancer patients. This review examines the clinical manifestations of muscle dysfunction following breast cancer chemotherapy, the potential mechanisms underlying these changes, and the evidence supporting exercise as a therapeutic approach for improving muscle function.
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Affiliation(s)
- Pei Zhong
- Guangxi Key Laboratory of Enhanced Recovery after Surgery for Gastrointestinal Cancer, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xizhuang Li
- Guangxi Key Laboratory of Enhanced Recovery after Surgery for Gastrointestinal Cancer, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jiehua Li
- Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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16
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Yajima T, Arao M. Psoas muscle gauge and adverse clinical outcomes in patients on hemodialysis. J Nephrol 2025; 38:655-664. [PMID: 39873869 PMCID: PMC11961518 DOI: 10.1007/s40620-024-02191-4] [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: 07/18/2024] [Accepted: 12/04/2024] [Indexed: 01/30/2025]
Abstract
BACKGROUND The relationship between the psoas muscle gauge (PMG), a combined sarcopenia indicator obtained from psoas muscle index (PMI) and psoas muscle density (PMD), and adverse clinical outcomes in patients on hemodialysis remains unclear. We examined whether psoas muscle gauge could predict all-cause mortality and new cardiovascular events more accurately than psoas muscle index in these patients. METHODS We retrospectively included 217 hemodialysis patients who underwent abdominal computed tomography. We calculated the psoas muscle gauge (arbitrary unit [AU]) at the fourth lumbar vertebra level as follows: PMI (cm2/m2) × PMD (Hounsfield units). We categorized the patients into higher and lower psoas muscle gauge groups based on sex-specific cutoffs obtained from the young Asian population. The outcomes were death and new cardiovascular events. RESULTS The psoas muscle gauge cutoffs were set at 231.1 and 328.8 AU in women and men, respectively. Eighty-five deaths and 95 new cardiovascular events occurred during the follow-up period of 4.4 (2.4-7.3) years. The 5-year survival rates were 59.2% and 94.9% in the lower and higher psoas muscle gauge groups, respectively (p < 0.0001). Moreover, after adjusting for sex and age, history of cardiovascular disease, C-reactive protein, modified creatinine index, and geriatric nutritional risk index, lower psoas muscle gauge was independently associated with increased all-cause death and new cardiovascular events (adjusted hazard ratio (aHR) 7.65; 95% confidence interval (CI) 2.37-24.66 and aHR 2.98; 95% CI 1.54-5.75, respectively). The concordance index (C-index) for predicting all-cause mortality and new cardiovascular events significantly improved when either psoas muscle index or psoas muscle gauge were added to the baseline risk model. Additionally, the C-index of the psoas muscle gauge-added model was significantly higher than that of the psoas muscle index-added model (0.815 vs. 0.784, p = 0.026) only when predicting all-cause mortality. CONCLUSIONS Psoas muscle gauge accurately predicted the risk of all-cause mortality and new cardiovascular events in patients undergoing hemodialysis. For predicting all-cause mortality, psoas muscle gauge may be recommended compared to psoas muscle index.
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Affiliation(s)
- Takahiro Yajima
- Department of Nephrology, Matsunami General Hospital, Gifu, Japan.
| | - Maiko Arao
- Department of Nephrology, Matsunami General Hospital, Gifu, Japan
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17
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Romeo M, Dallio M, Cipullo M, Coppola A, Mazzarella C, Mammone S, Iadanza G, Napolitano C, Vaia P, Ventriglia L, Federico A. Nutritional and Psychological Support as a Multidisciplinary Coordinated Approach in the Management of Chronic Liver Disease: A Scoping Review. Nutr Rev 2025:nuaf001. [PMID: 39992295 DOI: 10.1093/nutrit/nuaf001] [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: 02/25/2025] Open
Abstract
OBJECTIVES This review emphasizes a novel, multidisciplinary, coordinated approach in the management of chronic liver diseases (CLDs). BACKGROUND Chronic liver diseases represent a significant global health burden, marked by a notable shift in the prevalence patterns from virus-related to metabolic and alcohol-related entities. Malnutrition, frailty, and sarcopenia exert a substantial impact on patients with cirrhosis, affecting 75%-90% of cases and escalating as the disease progresses. The European Association for the Study of the Liver recommends a comprehensive approach to nutritional care, emphasizing the need for detailed assessments in patients with cirrhosis, using diverse tools such as computed tomography scans, bioelectrical impedance analysis, and evaluations of muscle function. Considering the prevalence of nutritional and psychological disorders in the CLD population, the treatment of these patients should be founded indispensably on a multidisciplinary approach. METHODS A systematic search was conducted of the PubMed, MEDLINE, and SCOPUS databases to identify trials investigating the health effects of nutritional and psychological assessments in patients with CLD. RESULTS In dealing with the treatment of patients with CLD, an exploration of the psychological domain emerges as crucial, because psychological distress, especially depression, exerts a tangible influence on patient outcomes. Thus, the engagement of psychologists and/or psychotherapists, who might use techniques such as cognitive behavioral therapy, could enhance patients' comprehension of nutritional implications in their treatment and make them more aware of their illness. CONCLUSION The review emphasizes the relevance of both nutritional and psychological assessments in patients with CLD that could improve patient education on the pivotal role of nutrition in disease management. Randomized controlled trials evaluating the combined impact of nutritional and psychological support are recommended to further investigate this complex clinical landscape.
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Affiliation(s)
- Mario Romeo
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Marcello Dallio
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Marina Cipullo
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Annachiara Coppola
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Chiara Mazzarella
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Simone Mammone
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Giorgia Iadanza
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Carmine Napolitano
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Paolo Vaia
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Lorenzo Ventriglia
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
| | - Alessandro Federico
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples 80138, Italy
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Chen X, Gao X, Wang R, Wei Z, Wang J, Wang M, Xie C, Chen X. Opportunistic muscle density assay during CT lung cancer screening for low muscle quality evaluation in older adults: a multicenter study. Aging Clin Exp Res 2025; 37:41. [PMID: 39985725 PMCID: PMC11846760 DOI: 10.1007/s40520-025-02933-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 01/20/2025] [Indexed: 02/24/2025]
Abstract
BACKGROUND Intramuscular adiposity, which can be reflected by muscle computed tomography (CT) attenuation, may be a marker of sarcopenia. This study aimed to investigate muscle attenuation across the life course and thresholds of muscle attenuation for evaluating low muscle quality in older adults. METHODS This retrospective multicenter study included 9701 subjects aged 20 years and older who underwent CT lung cancer screening from 2019 to 2021 at our institutions in cohort 1. Muscle attenuation (Hounsfield units [HUs]) of the bilateral erector spinae and spleen attenuation at the middle level of the T11 vertebra were measured. The T score, which is analogous to that used to define osteoporosis, was calculated on the basis of absolute muscle attenuation and the muscle‒spleen ratio (M/S). A T score < -2.5 was used to define low muscle density. The cutoff points for muscle CT attenuation and M/S were subsequently calculated to define low muscle density. Another cohort (cohort 2) of 2006 subjects aged 50 years or older was included to explore the association between low muscle quality and vertebral compression fracture (VCF). RESULTS The mean [SD] age of cohort 1 was 51.8 [15.5] years, and 5896 [60.8%] men were included. The mean [SD] age of cohort 2 was 62.4 [9.6] years, and 1162 [57.9%] men were included. Multiple linear regression analysis revealed that age was associated with muscle CT attenuation (β = -0.19, 95% confidence interval (CI): -0.21 to -0.18) and the M/S ratio (β = -0.004, 95% CI: -0.004 to -0.003). The prevalence of low muscle density was dependent on the cutoff point and increased with age. A cutoff point of 32 HU for women and 37 HU for men and an M/S of 0.65 for women and 0.75 for men were used to define low muscle density. Low muscle density defined by those cutoff points was associated with the risk of VCF [muscle attenuation: adjusted hazard ratio (aHR) = 0.422 (95% CI: 0.256-0.696) for women; aHR = 0.391 (95% CI: 0.173-0.883) for men; M/S: aHR = 0.40 (95% CI: 0.23-0.68) for women; aHR = 0.23 (95% CI: 0.09-0.58) for men]. CONCLUSION Muscle density decreases with age. The muscle attenuation of 32 HU for women and 37 HU for men, an M/S of 0.65 for women and 0.75 for men, may be used to define low muscle density.
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Affiliation(s)
- Xin Chen
- Department of Radiology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, 725 wanping south road, Shanghai, 200032, China
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Xifa Gao
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Rongzhou Wang
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Zicheng Wei
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Jiangchuan Wang
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Miaomiao Wang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Chao Xie
- Center for Musculoskeletal Research, School of Medicine and Dentistry, University of Rochester, Rochester, NY, 14642, USA
| | - Xiao Chen
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
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Li X, Ding P, Wu J, Wu H, Yang P, Guo H, Tian Y, Meng L, Zhao Q. Preoperative sarcopenia and postoperative accelerated muscle loss negatively impact survival after resection of locally advanced gastric cancer. BMC Cancer 2025; 25:269. [PMID: 39953409 PMCID: PMC11829415 DOI: 10.1186/s12885-025-13674-3] [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: 05/22/2024] [Accepted: 02/06/2025] [Indexed: 02/17/2025] Open
Abstract
BACKGROUND Gastric cancer remains a major health concern worldwide, with locally advanced gastric cancer (LAGC) posing significant challenges due to frequent lymph node metastasis and poor prognosis. While curative gastrectomy with D2 lymph node dissection is the standard treatment, sarcopenia and perioperative skeletal muscle loss (SML) have emerged as critical prognostic factors. METHODS We retrospectively analyzed 198 LAGC patients who underwent curative gastrectomy. Preoperative and postoperative sarcopenia were assessed via computed tomography (CT)-derived skeletal muscle index (SMI) at the L3 level. SML was defined based on sex-specific thresholds of SMI changes (%/30 days). Prognostic significance for overall survival (OS) and disease-free survival (DFS) was evaluated using Kaplan-Meier and Cox regression analyses. RESULTS The prevalence of sarcopenia increased from 23.7% preoperatively to 33.3% postoperatively. Patients with significant muscle loss (SML) showed worse OS and DFS compared to non-SML patients (P < 0.05). SML was also associated with a higher incidence of Clavien-Dindo grade ≥ 3a complications (P < 0.05). Multivariate analysis identified preoperative sarcopenia (HR = 2.332, P = 0.001), postoperative sarcopenia (HR = 3.189, P = 0.011), and SML (HR = 11.231, P = 0.002) as independent risk factors for OS. Adjuvant chemotherapy significantly improved both OS (HR = 0.532, P = 0.015) and DFS (HR = 0.587, P = 0.041). CONCLUSIONS Both preoperative sarcopenia and perioperative SML may negatively impact postoperative prognosis in LAGC patients, suggesting that perioperative evaluation of skeletal muscle mass may help identify high-risk surgical candidates for targeted interventions.
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Affiliation(s)
- Xiaolong Li
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Accurate Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
- Department of General Surgery, Baoding First Central Hospital, Baoding, Hebei, 071000, China
| | - Ping'an Ding
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Accurate Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Jiaxiang Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Accurate Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Haotian Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Accurate Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Peigang Yang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Accurate Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Honghai Guo
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Accurate Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Yuan Tian
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Accurate Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Lingjiao Meng
- Research Center of the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
| | - Qun Zhao
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
- Big Data Analysis and Mining Application for Accurate Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China.
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Perrier M, Fontaine M, Bertin E, Carlier C, Botsen D, Djelouah M, François E, Guilbert P, Saint A, Slimano F, Torielli P, Brugel M, Bouché O. Impact of low muscle mass and myosteatosis on treatment toxicity and survival outcomes in non-resectable pancreatic cancer patients treated with chemoradiotherapy. Eur J Clin Nutr 2025:10.1038/s41430-025-01566-5. [PMID: 39910182 DOI: 10.1038/s41430-025-01566-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 12/07/2024] [Accepted: 01/07/2025] [Indexed: 02/07/2025]
Abstract
BACKGROUND Low skeletal muscle mass and impaired muscle quality (myosteatosis) have been associated with poor outcomes in cancer patients. This study aimed to evaluate the impact of pre-therapeutic low muscle mass and myosteatosis on chemoradiotherapy (CRT)-induced toxicity and survival outcomes in patients with non-resectable pancreatic cancer (PC). METHODS In this retrospective study, pre-therapeutic CT scans were used to measure muscle mass/density. Low muscle mass was defined as a skeletal muscle index <38.5 cm²/m² (women) and <52.4 cm²/m² (men), and myosteatosis as a mean psoas density <41 HU if BMI < 25 kg/m² or <33 HU if BMI > 25 kg/m². Adverse effects were collected per week (W) of treatment. Dose-limiting toxicity (DLT) was defined as any toxicity leading to dose reduction, treatment delays or permanent discontinuation. RESULTS Among the 85 included patients, 75 (88.2%) and 18 (22.2%) had pre-therapeutic low muscle mass and myosteatosis, respectively. Only 12 patients (14.1%) experienced DLT. Patients with low muscle mass developed significantly more toxicities at W2 (p = 0.013) and W5 (p = 0.026), notably more nausea (p = 0.037) and anemia (p = 0.004). Low muscle mass was associated with poorer overall survival (HR 4.41 [1.50-12.94], p = 0.007) in multivariate Cox analysis, while myosteatosis was not associated with CRT toxicities, DLT and overall survival (p = 0.408). CONCLUSION Patients with low muscle mass experienced more toxicities and poorer outcomes during CRT for non-resectable PC.
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Affiliation(s)
- Marine Perrier
- Université Reims Champagne-Ardenne, Department of Gastroenterology and Digestive Oncology, CHU Reims, 51100, Reims, France.
| | - Marine Fontaine
- Department of Radiotherapy, Godinot Cancer Institute, 51100, Reims, France
| | - Eric Bertin
- Université Reims Champagne-Ardenne, Performance, Health, Metrology, Society Laboratory (PSMS EA 7507), Clinical Nutrition Transversal Unit (UTNC), CHU Reims, 51100, Reims, France
| | - Claire Carlier
- Université Reims Champagne-Ardenne, Department of Gastroenterology and Digestive Oncology, CHU Reims, 51100, Reims, France
- Department of Medical Oncology, Godinot Cancer Institute, 51100, Reims, France
| | - Damien Botsen
- Université Reims Champagne-Ardenne, Department of Gastroenterology and Digestive Oncology, CHU Reims, 51100, Reims, France
- Department of Medical Oncology, Godinot Cancer Institute, 51100, Reims, France
| | - Manel Djelouah
- Université Reims Champagne-Ardenne, Department of Radiology, CHU Reims, 51100, Reims, France
| | - Eric François
- Department of Medical Oncology, Antoine Lacassagne Center, 06100, Nice, France
| | - Philippe Guilbert
- Department of Radiotherapy, Godinot Cancer Institute, 51100, Reims, France
| | - Angélique Saint
- Department of Medical Oncology, Antoine Lacassagne Center, 06100, Nice, France
| | - Florian Slimano
- Université Reims Champagne-Ardenne, Department of Pharmacy, CHU Reims, 51100, Reims, France
| | - Paolo Torielli
- Department of Radiotherapy, Godinot Cancer Institute, 51100, Reims, France
| | - Mathias Brugel
- Department of Gastroenterology and Digestive Oncology, Centre Hospitalier Côte Basque, Bayonne, France
| | - Olivier Bouché
- Université Reims Champagne-Ardenne, Department of Gastroenterology and Digestive Oncology, CHU Reims, 51100, Reims, France
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21
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Bunch PM, Johansson ED, Rigdon J, Tan J, Lenchik L, Randle RW. Body Composition in Primary Hyperparathyroidism: A Potential Contributor to Weakness and Fatigue. Am Surg 2025; 91:178-185. [PMID: 39239692 DOI: 10.1177/00031348241281551] [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] [Indexed: 09/07/2024]
Abstract
BACKGROUND Primary hyperparathyroidism (PHPT) patients commonly report weakness and fatigue, though the underlying mechanisms are uncertain. Our purpose is to determine whether CT-derived muscle and adipose tissue metrics are associated with weakness and fatigue in PHPT patients. METHODS For this retrospective study, cross-sectional muscle and adipose tissue metrics were derived from CTs in PHPT patients undergoing preoperative imaging within 1 year of parathyroid surgery. Skeletal muscle index (SMI) and visceral adipose tissue (VAT)/subcutaneous adipose tissue (SAT) ratio were calculated based on a single CT image at the level of the L3 vertebra. Established sex-specific SMI thresholds were used to define sarcopenia. Demographic and clinical data were collected from the electronic health record. When available, postoperative CT images were analyzed to assess for changes in body composition pre- and post-parathyroidectomy. RESULTS The cohort comprised 53 PHPT patients (38 females, 15 males, mean age 61.4 years), of whom 24 (45%) reported weakness, 43 (81%) reported fatigue, and 31 (58%) met CT-based criteria for sarcopenia. Lower SMI was significantly associated with preoperative weakness in females but not males. For both weakness and fatigue, VAT/SAT ratios were higher in symptomatic females and lower in symptomatic males than their asymptomatic counterparts, though these differences were not statistically significant. In patients with postoperative CTs (n = 23), no significant changes in CT metrics were observed after parathyroidectomy. DISCUSSION In females but not males with PHPT, subjective preoperative weakness was significantly associated with lower SMI. Effects of parathyroid hormone on skeletal muscle and visceral adiposity may differ by sex.
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Affiliation(s)
- Paul M Bunch
- Department of Radiology, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Erik D Johansson
- Department of Radiology, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Joseph Rigdon
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Josh Tan
- Department of Radiology, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Leon Lenchik
- Department of Radiology, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Reese W Randle
- Department of Surgery, Wake Forest University School of Medicine, Winston Salem, NC, USA
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22
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González-Torres LA, Acuña-Rocha VD, Herrera-Nuñez M, Millán-Alanís JM, de la Cruz-de la Cruz C, Z' Cruz-López RH, Alcalá-González JI, Moreno-Hoyos-Abril JF, González-Aguirre JE. Low Muscle Mass in the Internal Medicine Ward: Prevalence and Survival Implications. Arch Med Res 2025; 56:103103. [PMID: 39406015 DOI: 10.1016/j.arcmed.2024.103103] [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: 06/01/2024] [Revised: 09/06/2024] [Accepted: 10/03/2024] [Indexed: 01/03/2025]
Abstract
BACKGROUND Low muscle mass is common in hospitalized patients. It is associated with adverse clinical outcomes. Reported prevalence varies widely due to non-universally accepted diagnostic criteria and the heterogeneity of the populations studied. Non-surgical ill patients are underrepresented in the literature. AIMS To estimate the prevalence of low muscle index and its impact on survival in patients admitted to an internal medicine unit. METHODS We prospectively enrolled patients with abdominal CT scans on admission to the Internal Medicine ward. We assessed muscle mass index (L3MI) at the level of the L3 lumbar vertebra. The primary outcome was to estimate the prevalence of low muscle mass on admission. Secondary outcomes were to determine the relationship of low L3MI with hospital mortality, length of stay, nosocomial infections, and hospital readmission. RESULTS One hundred and seven patients were included. The prevalence of low L3MI was 46.7%. An L3MI of 46.3 cm2/m2 in men and 40.9 cm2/m2 in women predicted death at one year with a sensitivity of 66% and a specificity of 78% (AUC = 0.62 [95% CI 0.38-0.86]) and 69 and 66% (AUC of 0.63 [95% IC 0.47-0.78]), respectively. In-hospital mortality, death at 60, 90, and 360 d, and hospital readmission were significantly higher in patients with low L3MI. CONCLUSION Almost half of the patients admitted to an internal medicine ward have low muscle mass index. The cutoff point of 40.9 cm2/m2 in females and 46.3 cm2/m2 in males predicts relevant clinical variables. We established the better L3MI cutoff value to predict 12-month mortality.
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Affiliation(s)
- Luis Andrés González-Torres
- Departamento de Medicina Interna, Facultad de Medicina y Hospital Universitario, Dr. José E. Gonzalez, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Víctor Daniel Acuña-Rocha
- Departamento de Medicina Interna, Facultad de Medicina y Hospital Universitario, Dr. José E. Gonzalez, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Mario Herrera-Nuñez
- Departamento de Medicina Interna, Facultad de Medicina y Hospital Universitario, Dr. José E. Gonzalez, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Juan Manuel Millán-Alanís
- Departamento de Medicina Interna, Facultad de Medicina y Hospital Universitario, Dr. José E. Gonzalez, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | | | - Ricardo Humberto Z' Cruz-López
- Departamento de Medicina Interna, Facultad de Medicina y Hospital Universitario, Dr. José E. Gonzalez, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Joel Isaí Alcalá-González
- Departamento de Medicina Interna, Facultad de Medicina y Hospital Universitario, Dr. José E. Gonzalez, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Juan Francisco Moreno-Hoyos-Abril
- Departamento de Medicina Interna, Facultad de Medicina y Hospital Universitario, Dr. José E. Gonzalez, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México; Departamento de Neumología y Terapia Intensiva. Facultad de Medicina y Hospital Universitario José E. González, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Julio Edgardo González-Aguirre
- Departamento de Medicina Interna, Facultad de Medicina y Hospital Universitario, Dr. José E. Gonzalez, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México; Departamento de Neumología y Terapia Intensiva. Facultad de Medicina y Hospital Universitario José E. González, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México.
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Kim YH, Yoon JW, Lee BH, Yoon JH, Choe HJ, Oh TJ, Lee JM, Cho YM. Artificial intelligence-based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus. J Diabetes Investig 2025; 16:272-284. [PMID: 39576146 PMCID: PMC11786173 DOI: 10.1111/jdi.14365] [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: 07/03/2024] [Revised: 11/05/2024] [Accepted: 11/12/2024] [Indexed: 02/02/2025] Open
Abstract
AIM/INTRODUCTION We assess the efficacy of artificial intelligence (AI)-based, fully automated, volumetric body composition metrics in predicting the risk of diabetes. MATERIALS AND METHODS This was a cross-sectional and 10-year retrospective longitudinal study. The cross-sectional analysis included health check-up data of 15,330 subjects with abdominal computed tomography (CT) images between January 1, 2011, and September 30, 2012. Of these, 10,570 subjects with available follow-up data were included in the longitudinal analyses. The volume of each body segment included in the abdominal CT images was measured using AI-based image analysis software. RESULTS Visceral fat (VF) proportion and VF/subcutaneous fat (SF) ratio increased with age, and both strongly predicted the presence and risk of developing diabetes. Optimal cut-offs for VF proportion were 24% for men and 16% for women, while VF/SF ratio values were 1.2 for men and 0.5 for women. The subjects with higher VF/SF ratio and VF proportion were associated with a greater risk of having diabetes (adjusted OR 2.0 [95% CI 1.7-2.4] in men; 2.9 [2.2-3.9] in women). In subjects with normal glucose tolerance, higher VF proportion and VF/SF ratio were associated with higher risk of developing prediabetes or diabetes (adjusted HR 1.3 [95% CI 1.1-1.4] in men; 1.4 [1.2-1.7] in women). These trends were consistently observed across each specified cut-off value. CONCLUSIONS AI-based volumetric analysis of abdominal CT images can be useful in obtaining body composition data and predicting the risk of diabetes.
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Affiliation(s)
- Yoo Hyung Kim
- Department of Internal MedicineSeoul National University HospitalSeoulKorea
| | - Ji Won Yoon
- Department of Internal MedicineSeoul National University Hospital Healthcare System Gangnam CenterSeoulKorea
| | - Bon Hyang Lee
- Department of Internal MedicineSeoul National University HospitalSeoulKorea
| | - Jeong Hee Yoon
- Department of RadiologySeoul National University College of MedicineSeoulKorea
- Department of RadiologySeoul National University HospitalSeoulKorea
| | - Hun Jee Choe
- Department of Internal MedicineSeoul National University HospitalSeoulKorea
| | - Tae Jung Oh
- Department of Internal MedicineSeoul National University Bundang HospitalSeongnamKorea
| | - Jeong Min Lee
- Department of RadiologySeoul National University College of MedicineSeoulKorea
- Department of RadiologySeoul National University HospitalSeoulKorea
| | - Young Min Cho
- Department of Internal MedicineSeoul National University HospitalSeoulKorea
- Department of Internal MedicineSeoul National University College of MedicineSeoulKorea
- Institute on AgingSeoul National UniversitySeoulKorea
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Mantz L, Mercaldo ND, Simon J, Kaess P, Yang K, Dietrich ASW, Tonnesen PE, Troschel AS, Marquardt JP, Sehi DA, Javidan C, Chung JH, Gaissert HA, Ferguson MK, Fintelmann FJ. Preoperative Chest CT Myosteatosis Indicates Worse Postoperative Survival in Stage 0-IIB Non-Small Cell Lung Cancer. Radiology 2025; 314:e240282. [PMID: 39932411 DOI: 10.1148/radiol.240282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2025]
Abstract
Background Skeletal muscle density (SMD) and intermuscular adipose tissue (IMAT) are myosteatosis markers. The prognostic value of myosteatosis markers in preoperative risk stratification of patients with early-stage non-small cell lung cancer (NSCLC) remains unknown. Purpose To assess whether increased myosteatosis markers at chest CT before lung resection of early-stage NSCLC are associated with and predictive of worse overall survival (OS). Materials and Methods This retrospective cohort study included patients with stage 0-IIB NSCLC who underwent lobectomy or bilobectomy at three hospitals between 2014 and 2017. The indexes (cross-sectional area [in centimeters squared] divided by height [in meters squared]) and densities (mean attenuation [in Hounsfield units]) of skeletal muscle, subcutaneous adipose tissue (SAT), and IMAT were assessed at CT at the level of the 12th thoracic vertebral body via semiautomated threshold-based segmentation. Associations of SMD and the IMAT index with OS were evaluated via separate Cox proportional hazards models adjusted for skeletal muscle index, SAT index, SAT density, and relevant confounders. The ability of indexes and densities to predict OS was explored with penalized Cox proportional hazards models and internally validated concordance statistics. Results Among 838 patients (median age, 68 years [IQR, 61-74 years]; 475 [56.7%] female patients), 219 died after a median follow-up of 5.3 years (IQR, 3.0-6.4 years). Increased myosteatosis, represented by decreased SMD and an increased IMAT index, was associated with worse OS (adjusted hazard ratio, 0.87 [95% CI: 0.80, 0.93]; P < .001 and adjusted hazard ratio, 1.24 [95% CI: 1.12, 1.37]; P < .001, respectively). There was no evidence of an association between OS and skeletal muscle index, SAT index, and SAT density. The predictive performance (concordance) increased from 0.723 (95% CI: 0.686, 0.753) to 0.731 (95% CI: 0.692, 0.762) after including myosteatosis markers. Conclusion Increased thoracic myosteatosis markers were associated with worse OS after lobectomy or bilobectomy of stage 0-IIB NSCLC, independent of skeletal muscle index, SAT index, and SAT density, and improved OS prediction. © RSNA, 2025 Supplemental material is available for this article.
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Affiliation(s)
- Lea Mantz
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Nathaniel D Mercaldo
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Judit Simon
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Philipp Kaess
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Kai Yang
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Anna-Sophia W Dietrich
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - P Erik Tonnesen
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Amelie S Troschel
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - J Peter Marquardt
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Daniel A Sehi
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Cylen Javidan
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Jonathan H Chung
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Henning A Gaissert
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Mark K Ferguson
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
| | - Florian J Fintelmann
- From the Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114 (L.M., N.D.M., J.S., P.K., K.Y., A.S.W.D., P.E.T., A.S.T., J.P.M., F.J.F.); Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (L.M.); Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (J.S.); Department of Artificial Intelligence in Medicine and Health Care, Technical University of Munich, Munich, Germany (P.K.); Medical Department II, Gastroenterology and Haemato-Oncology, Klinikum Wolfsburg, Wolfsburg, Germany (A.S.T.); Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.P.M.); Mallinckrodt Institute of Radiology, Section of Cardiothoracic Imaging, Washington University in St. Louis, St Louis, Mo (D.A.S., C.J.); DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Harrogate, Tenn (D.A.S.); Division of Cardiothoracic Imaging, University of California San Diego, San Diego, Calif (J.H.C.); Department of Surgery, Massachusetts General Hospital, Boston, Mass (H.A.G.); Department of Surgery, University of Chicago, Chicago, Ill (M.K.F.); and Harvard Medical School, Boston, Mass (N.D.M., K.Y., H.A.G., F.J.F.)
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Pesonen EK, Arponen O, Niinimäki J, Hernández N, Pikkarainen L, Tetri S, Korhonen TK. Age- and sex-adjusted CT-based reference values for temporal muscle thickness, cross-sectional area and radiodensity. Sci Rep 2025; 15:2393. [PMID: 39827306 PMCID: PMC11742987 DOI: 10.1038/s41598-025-86711-7] [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: 10/07/2024] [Accepted: 01/13/2025] [Indexed: 01/22/2025] Open
Abstract
Muscle mass has been traditionally assessed by measuring paraspinal muscle areas at the level of the third lumbar vertebra on computed tomography (CT). Neurological or neurosurgical patients seldom undergo CT scans of the lumbar region. Instead, temporal muscle thickness (TMT), cross-sectional area (TMA) and radiodensity measured from head CT scans are readily available measures of muscle mass and quality in these patient cohorts. The purpose of this retrospective study was to establish CT-based reference values for TMT, TMA and radiodensity for each decade of age from 0 to 100 years normalized by age and sex, and to define cut-off values for subjects at risk for sarcopenia as defined by the European Working Group on Sarcopenia in Older People (EWGSOP). Subjects diagnosed with a concussion at the Oulu University Hospital between January 2014 and December 2022 (n = 9254) were identified to obtain a reference population. Subjects with significant pre-existing co-morbidities were excluded. TMT, TMA and radiodensity were measured, measurement reliability was quantified, and sex-adjusted reference values were calculated for each age decade. Quantile regression was used to model age-related changes in muscle morphomics. A total of 500 subjects [250 (50.0%) males] with a mean age of 49.2 ± 27.9 years were evaluated. Inter- and intra-observer reliability was almost perfect for TMT and TMA, and substantial-to-almost perfect for radiodensity. The mean TMT, TMA and radiodensity were 5.2 ± 1.9 mm, 284 ± 159 mm2 and 44.6 ± 17.7HU, respectively. The cut-off values for reduced TMT, TMA and radiodensity for males/females using the European Working Group on Sarcopenia in Older People compliant criteria were ≤ 4.09 mm/≤3.44 mm, ≤ 166 mm2/≤156 mm2, and ≤ 35.5HU/≤35.2HU, respectively. We described a standardized CT-based TMT and TMA measurement protocol practical for clinical use with almost perfect reliability. Using the protocol, we produced quantile regression models for the detection of reduced TMT, TMA and radiodensity at the lowest 5th, 10th, 20th, 30th, 40th and 50th percentiles as well as the EWGSOP compliant criteria cut-off values for reduced muscle mass to facilitate generalizable radiological sarcopenia research.
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Affiliation(s)
- Emilia K Pesonen
- Department of Neurosurgery, Oulu University Hospital & University of Oulu, Kajaanintie 52, Oulu, 90029, Finland.
| | - Otso Arponen
- Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön Katu 34, Tampere, 33520, Finland
- Department of Radiology, Tampere University Hospital, Kuntokatu 2, Tampere, 33520, Finland
- Institute of Clinical Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Niinimäki
- Department of Neurosurgery, Oulu University Hospital & University of Oulu, Kajaanintie 52, Oulu, 90029, Finland
- Department of Diagnostic Radiology, Oulu University Hospital, Kajaanintie 50, Oulu, 90220, Finland
| | - Nicole Hernández
- Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön Katu 34, Tampere, 33520, Finland
| | - Lasse Pikkarainen
- Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön Katu 34, Tampere, 33520, Finland
| | - Sami Tetri
- Department of Neurosurgery, Oulu University Hospital & University of Oulu, Kajaanintie 52, Oulu, 90029, Finland
| | - Tommi K Korhonen
- Department of Neurosurgery, Oulu University Hospital & University of Oulu, Kajaanintie 52, Oulu, 90029, Finland
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Yamamoto N, Tojo K, Mihara T, Maeda R, Sugiura Y, Goto T. Creatinine production rate is an integrative indicator to monitor muscle status in critically ill patients. Crit Care 2025; 29:23. [PMID: 39810218 PMCID: PMC11731194 DOI: 10.1186/s13054-024-05222-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 12/18/2024] [Indexed: 01/16/2025] Open
Abstract
BACKGROUND Both quantitative and qualitative aspects of muscle status significantly impact clinical outcomes in critically ill patients. Comprehensive monitoring of baseline muscle status and its changes is crucial for risk stratification and management optimization. However, repeatable and accessible indicators are lacking. We hypothesized that creatinine production rate (CPR) could serve as an integrative indicator of skeletal muscle status. METHODS We conducted a series of animal and clinical studies. First, animal experiments were performed to determine whether CPR reflects not only muscle volume, but also qualitative muscle properties. We also evaluated the effects of acute systemic inflammation, a common feature of critical illness, on CPR, as well as its impact on muscle volume and metabolism. In clinical studies, we analyzed CPR, calculated based on urinary creatinine excretion and changes in serum creatinine, of critically ill patients. We assessed the factors affecting CPR on ICU admission and its temporal changes. Finally, we evaluated the clinical utility of CPR by examining the associations of the CPR index (CPR divided by height squared) on ICU admission and its changes with one-year survival. RESULTS Animal studies revealed that CPR is determined by muscle volume, creatine content, and metabolic status. Systemic inflammation accompanied by muscle loss led to reduced CPR. Moreover, even without muscle loss, systemic inflammation decreased CPR, likely due to metabolic derangements. In ICU patients, CPR on admission strongly correlated with muscle cross-sectional area (CSA), with age and sex as additional significant factors. In contrast, the percent change in CPR showed a weak correlation with muscle CSA changes. Additionally, the acute-phase CPR trajectories did not show a consistent decline, suggesting multifactorial influences. In a cohort of 629 ICU patients, lower baseline CPR index (hazard ratio [HR] 1.125 per 0.1 g/day/m2 less, P < .001) and a decrease in CPR over the first three days (HR 1.028 per 5%, P = 0.032) were independently associated with higher one-year mortality. CONCLUSIONS CPR represents an integrative indicator of skeletal muscle status in critically ill patients, reflecting both quantitative and qualitative aspects. Monitoring CPR in the ICU may facilitate risk stratification and optimization of patient care.
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Affiliation(s)
- Natsuhiro Yamamoto
- Department of Anesthesiology and Critical Care Medicine, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Kentaro Tojo
- Department of Anesthesiology and Critical Care Medicine, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan.
| | - Takahiro Mihara
- Department of Health Data Science, Yokohama City University Graduate School of Data Science, Yokohama, Kanagawa, Japan
| | - Rae Maeda
- Center for Cancer Immunotherapy and Immunobiology (CCII), Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yuki Sugiura
- Center for Cancer Immunotherapy and Immunobiology (CCII), Kyoto University Graduate School of Medicine, Kyoto, Japan
- Human Biology Microbiome Quantum Research Center (WPI-Bio2Q), Keio University School of Medicine, Tokyo, Japan
| | - Takahisa Goto
- Department of Anesthesiology and Critical Care Medicine, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
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27
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Jiang J, Chen H, Meng SS, Pan C, Xie JF, Guo FM. Early urea-to-creatinine ratio to predict rapid muscle loss in critically ill patients with sepsis: a single-center retrospective observational study. BMC Anesthesiol 2025; 25:26. [PMID: 39799321 PMCID: PMC11724614 DOI: 10.1186/s12871-025-02892-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Accepted: 01/03/2025] [Indexed: 01/15/2025] Open
Abstract
BACKGROUND Patients with sepsis in the intensive care unit (ICU) often experience rapid muscle loss. The urea-to-creatinine ratio (UCR) is thought to reflect muscle breakdown (creatinine) and catabolism (urea) and is commonly used to assess nutritional and metabolic status. This study aimed to investigate whether changes in UCR (ΔUCR) can predict the development of rapid muscle loss in patients with sepsis. METHODS This retrospective observational study was conducted in a university ICU between 2014 and 2021, involving adult patients (≥ 18 years) diagnosed with sepsis. The primary outcome was the incidence of rapid muscle loss during ICU hospitalization. Changes in the cross-sectional muscle area at the third lumbar vertebra (L3SMA) were measured using CT images to evaluate muscle loss. Rapid muscle loss was defined as a change in ΔL3SMA greater than 2% per day. Multivariable logistic regression was used to examine the association between UCR or ΔUCR and rapid muscle loss. The area under the receiver operating characteristic curve (AUC) was calculated to assess the predictive performance of UCR or ΔUCR for rapid muscle loss. RESULTS Of the 482 patients, 141 (29.2%) experienced rapid muscle loss during their ICU stay. Multivariable logistic regression analysis revealed that ΔUCR was significantly associated with an increased risk of rapid muscle loss, with an odds ratio (OR) of 1.02 [95% CI: 1.01, 1.02]. The AUC for ΔUCR in predicting rapid muscle loss was 0.76 [95% CI: 0.68-0.83], with a threshold value of 19.4 µmol urea/µmol creatinine for ΔUCR. CONCLUSION The results demonstrate that ΔUCR is independently associated with rapid muscle loss in patients with sepsis and the AUC of the ROC curve for the ability of ΔUCR to predict rapid muscle loss was 0.76. Though additional prospective data are needed, our results suggest that ΔUCR may be useful in the early identification of critically ill patients with sepsis at risk of rapid muscle loss.
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Affiliation(s)
- Jie Jiang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
- Department of Critical Care Medicine, Nanjing Central Hospital, Nanjing, 210018, China
| | - Hui Chen
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Shan-Shan Meng
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Chun Pan
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Jian-Feng Xie
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Feng-Mei Guo
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China.
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Watabe T, Sengoku T, Sakurai G, Yoshida S, Taniguchi Y. Association of Physical Function, Quantity, and Quality of the Quadriceps with Postoperative Physical Activity Before Total Knee Arthroplasty. J Clin Med 2025; 14:294. [PMID: 39797376 PMCID: PMC11721458 DOI: 10.3390/jcm14010294] [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: 11/20/2024] [Revised: 12/12/2024] [Accepted: 01/04/2025] [Indexed: 01/13/2025] Open
Abstract
Background/Objectives: This single-center cohort study investigated preoperative risk factors such as physical function, quantity, and quality of the quadriceps femoris for physical activity (PA) 1 year after total knee arthroplasty (TKA). Methods: This study included 204 patients with knee osteoarthritis who underwent TKA; they were divided into increased and decreased PA groups. Items with significant differences between the two groups in non-operative-side quadriceps strength, knee injury and osteoarthritis outcome scores (KOOS), Sport/Rec scores, operative-side cross-sectional area (CSA) of the vastus medialis (VM), and operative-side computed tomography attenuation values (CTV) of the vastus lateralis (VL) were fitted in the multiple logistic regression analysis. The cutoff value of the preoperative CSA of the VM required for PA to exceed the required points at 1 year postoperatively was calculated using the receiver operating characteristic (ROC) curve. Results: Multivariate logistic regression analysis showed that the non-operative-side quadriceps strength KOOS sport/rec, operative-side CSA of VM, and operative-side CTV of the VL were significantly associated with increased PA after TKA. The ROC-calculated cutoff value was 10.2 cm2. Conclusions: These results suggested that preoperative muscle quantity and quality, particularly in the VM, could play important roles in postoperative PA outcomes after TKA.
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Affiliation(s)
- Takaya Watabe
- Section of Rehabilitation, Kanazawa University Hospital 13-1 Takaranachi, Kanazawa 920-8641, Ishikawa, Japan
- Institute of Science & Engineering, Kanazawa University, Kakuma-Machi, Kanazawa 920-1192, Ishikawa, Japan
| | - Takuya Sengoku
- Section of Rehabilitation, Kanazawa University Hospital 13-1 Takaranachi, Kanazawa 920-8641, Ishikawa, Japan
| | - Goro Sakurai
- Section of Rehabilitation, Kanazawa University Hospital 13-1 Takaranachi, Kanazawa 920-8641, Ishikawa, Japan
| | - Shinya Yoshida
- Section of Rehabilitation, Kanazawa University Hospital 13-1 Takaranachi, Kanazawa 920-8641, Ishikawa, Japan
| | - Yuta Taniguchi
- Department of Orthopedic Surgery, Graduate School of Medicine Sciences, Kanazawa University, 13-1 Takaranachi, Kanazawa 920-8641, Ishikawa, Japan
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Elkan M, Cochavi L, Khashper A, Kravchik E, Kravitz E, Koren R. CT-based sarcopenia assessment: Predicting outcomes in acute infection patients. J Investig Med 2025; 73:116-124. [PMID: 39308086 DOI: 10.1177/10815589241280861] [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] [Indexed: 10/26/2024]
Abstract
In this retrospective cohort study, we investigated the prognostic value of sarcopenia evaluated by Computed Tomography (CT)-based indices for adverse hospitalization outcomes in patients with acute infections. We analyzed data from 225 patients admitted to the hospital for acute infections between 2019 and 2020. Patients who had undergone an abdominal CT scan either up to 1 month before or within the first 3 days of hospitalization were included. CT image analysis was used to evaluate skeletal muscle mass (by skeletal muscle index (SMI)) and muscle quality (by psoas muscle density, pMD). Low pMD was associated with higher in-hospital mortality (31% vs 11.4% p < 0.001) as well as higher longer-term mortality rates (p = 0.008 for 30 days and <0.001 for 90- and 1-year mortality). Low pMD remained an independent poor prognostic factor after controlling for confounders, with an adjusted odds ratio (aOR) of 2.74, (95% CI 1.33-5.67, p = 0.006) for 1-year mortality, and aOR of 2.61, (95% CI 1.23-5.55) for a prolonged hospital stay. Low SMI was associated with adverse outcomes, although this association was not independent after controlling for confounders. Notably, patients with both low SMI and pMD exhibited the poorest hospitalization outcomes: aOR for 1-year mortality 5.015 (95% CI 1.767-14.23, p = 0.002), and prolonged length of stay aOR 3.197, (95% CI 1.159-8.821, p = 0.025). CT-based muscle indices serve as independent prognostic factors in medical patients admitted with acute infection. Incorporating radiological assessments of sarcopenia into routine care for hospitalized patients with acute infection may enable risk stratification and early intervention in reversible conditions.
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Affiliation(s)
- Matan Elkan
- Department of Internal Medicine A, Shamir Medical Center, Zerifin, Israel
| | - Lior Cochavi
- Department of Diagnostic Radiology, Shamir Medical Center, Zerifin, Israel
| | - Alla Khashper
- Department of Diagnostic Radiology, Shamir Medical Center, Zerifin, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Eli Kravchik
- Department of Internal Medicine A, Shamir Medical Center, Zerifin, Israel
| | - Ella Kravitz
- Department of Internal Medicine A, Shamir Medical Center, Zerifin, Israel
| | - Ronit Koren
- Department of Internal Medicine A, Shamir Medical Center, Zerifin, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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Shimizu F, Abudurezake A, Diabangouaya M, Tanaka Y, Kobayashi T, Ide H, Tamura Y, Horie S. A Reliable and Robust Method of Measuring Male Pelvic Floor Muscle Volume Using Three-dimensional Computed Tomography. JUNTENDO IJI ZASSHI = JUNTENDO MEDICAL JOURNAL 2024; 70:429-435. [PMID: 39840003 PMCID: PMC11745831 DOI: 10.14789/ejmj.jmj24-0027-oa] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Accepted: 09/17/2024] [Indexed: 01/23/2025]
Abstract
Objectives The pelvic floor muscle (PFM) plays a major role in sexual and urinary functions. No objective method exists to measure the PFM in male. This study evaluated the reliability of male PFM volume using three-dimensional computed tomography (3D-CT). Methods PFMs of five patients aged 43-83 years were selectively extracted from thin-slice CT using a workstation to reconstruct stereoscopic images and measure PFM volume. Two raters measured the PFM volume three times in all patients to confirm the reliability of PFM volume measurement. Intra- and inter-rater correlation coefficients, i.e., intraclass correlation coefficient, were determined. The CT attenuation of PFMs was also evaluated. Results Raters 1 and 2 reported an average PFM volume of 46.4 ± 11.5 cm3 and 46.1 ± 12.5 cm3, respectively. The intra- and inter-rater correlation coefficients were 0.99 and 0.98, respectively. The average CT value of PFMs had a minimum of 13.7 Hounsfield Unit (HU) in the eldest male and a maximum of 38.9 HU in the youngest male. Conclusions Male PFMs could be selectively extracted using a workstation to reconstruct a stereoscopic image. The PFM volume measurement is feasible and highly reproducible. To our knowledge, this is the first study that standardizes the method for measuring the male PFM volume using 3D-CT and examines its reliability.
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Mastrangelo S, Romano A, Maurizi P, Rizzo D, Attinà G, Ruggiero A. Nutritional Challenges in Paediatric Oncology: Screening and Managing Malnutrition and Sarcopenia. BIOMEDICAL AND PHARMACOLOGY JOURNAL 2024; 17:2203-2216. [DOI: 10.13005/bpj/3017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2025]
Abstract
Sarcopenia and malnutrition can coexist in pediatric patients with neoplasia, worsening the patient's prognosis. The classification of primary and secondary sarcopenia may be helpful in clinical practice, as it can help with timely initiation of appropriate and tailored dietary treatments to address it. This review summarizes the current state of the art of assessing skeletal muscle function in children and adolescents with cancer and discusses the role of nutritional interventions in the management of children with cancer. It highlights the urgent need for comprehensive nutritional support and interventions to mitigate the impact of malnutritions on both treatment outcomes and patients' well-being.
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Affiliation(s)
- Stefano Mastrangelo
- 1Pediatric Oncology Unit, Fondazione Policlinico Universitario A.Gemelli IRCCS, Universita’ Cattolica Sacro Cuore, Rome, Italy
| | - Alberto Romano
- 1Pediatric Oncology Unit, Fondazione Policlinico Universitario A.Gemelli IRCCS, Universita’ Cattolica Sacro Cuore, Rome, Italy
| | - Palma Maurizi
- 1Pediatric Oncology Unit, Fondazione Policlinico Universitario A.Gemelli IRCCS, Universita’ Cattolica Sacro Cuore, Rome, Italy
| | - Daniela Rizzo
- 2UOC Oncoematologia Pediatrica, P.O. "Vito Fazzi, Lecce, Italy
| | - Giorgio Attinà
- 1Pediatric Oncology Unit, Fondazione Policlinico Universitario A.Gemelli IRCCS, Universita’ Cattolica Sacro Cuore, Rome, Italy
| | - Antonio Ruggiero
- 1Pediatric Oncology Unit, Fondazione Policlinico Universitario A.Gemelli IRCCS, Universita’ Cattolica Sacro Cuore, Rome, Italy
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Filip PV, Cuciureanu D, Pop CS, Marinescu AN, Furtunescu F, Diaconu LS. Frailty and Sarcopenia Assessment in Patients with Advanced Chronic Liver Disease in a Tertiary Center in Romania. Diagnostics (Basel) 2024; 15:16. [PMID: 39795544 PMCID: PMC11720121 DOI: 10.3390/diagnostics15010016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Revised: 12/17/2024] [Accepted: 12/21/2024] [Indexed: 01/13/2025] Open
Abstract
Background/Objectives: Sarcopenia and frailty are both multidimensional and interrelated problems for patients with cirrhosis and require prompt assessment and appropriate management because of their impact on disease outcomes. Our purpose is to identify the prevalence of sarcopenia and frailty in patients with advanced liver disease. Furtherksdnvk more, our purpose is to explore the association between sarcopenia, frailty, and various complications and the impact of these conditions on short- and long-term hospital survival rates. Methods: A prospective, observational, unicentric study was conducted in an emergency university hospital in Romania between January 2021 and December 2023 that included patients with advanced liver diseases. The patients with sarcopenia and frailty were selected using measurements of handgrip strength (HGS), Short Physical Performance Battery (SPPB), liver frailty index (LFI), and skeletal muscle index (SMI). Patients were divided into four groups based on the presence of sarcopenia and/or frailty. Results: This study included 128 patients. Younger patients associated with both sarcopenia and frailty (55.76 ± 10.46 years). Most males were without sarcopenia and frailty (63.93%) compared to those with both sarcopenia and frailty (36.07%). The Child-Pugh score C was identified in the majority of those with both sarcopenia and frailty (69.70%). Higher values for MELD-Na scores were obtained in the group with sarcopenia and frailty (25.45 ± 6.924). Biomarkers like albumin, sodium, C-reactive protein, bilirubin, and platelets were statistically significant as mortality predictors in all four groups. Patients with both sarcopenia and frailty presented more often with encephalopathy and spontaneous bacterial peritonitis. Survival rates in the short and long term were lower for the patients who associated both sarcopenia and frailty compared to those without sarcopenia and frailty. Conclusions: The presence of sarcopenia and frailty significantly impacts outcomes in patients with decompensated advanced liver disease. When both conditions coexist in the same patient, they markedly increase in-hospital mortality, as well as short- and long-term survival rates.
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Affiliation(s)
- Petruta Violeta Filip
- Department of Internal Medicine and Gastroenterology, Carol Davila University of Medicine, 020021 Bucharest, Romania (L.S.D.)
- Departments of Internal Medicine and Gastroenterology, Bucharest University Emergency Hospital, 050098 Bucharest, Romania;
| | - Denisa Cuciureanu
- Department of Internal Medicine and Gastroenterology, Carol Davila University of Medicine, 020021 Bucharest, Romania (L.S.D.)
| | - Corina Silvia Pop
- Department of Internal Medicine and Gastroenterology, Carol Davila University of Medicine, 020021 Bucharest, Romania (L.S.D.)
- Departments of Internal Medicine and Gastroenterology, Bucharest University Emergency Hospital, 050098 Bucharest, Romania;
| | - Andreea Nicoleta Marinescu
- Departments of Internal Medicine and Gastroenterology, Bucharest University Emergency Hospital, 050098 Bucharest, Romania;
- Department of Radiology, Bucharest University Emergency Hospital, 050098 Bucharest, Romania
| | - Florentina Furtunescu
- Departments of Internal Medicine and Gastroenterology, Bucharest University Emergency Hospital, 050098 Bucharest, Romania;
- National Institute of Public Health, 050463 Bucharest, Romania
| | - Laura Sorina Diaconu
- Department of Internal Medicine and Gastroenterology, Carol Davila University of Medicine, 020021 Bucharest, Romania (L.S.D.)
- Departments of Internal Medicine and Gastroenterology, Bucharest University Emergency Hospital, 050098 Bucharest, Romania;
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Naka T, Funato M, Yasuda K, Nakayama T, Kuru S. Association of the immunogenicity of intramuscular SARS-CoV-2 mRNA vaccination with computed tomography muscle images in patients with muscular disorders. Front Immunol 2024; 15:1479321. [PMID: 39759503 PMCID: PMC11695345 DOI: 10.3389/fimmu.2024.1479321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 12/06/2024] [Indexed: 01/07/2025] Open
Abstract
Backgrounds Intramuscular mRNA vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have a low intensity and latency of antibody response in patients with muscular disorders (MDs). However, the mechanisms involved in this phenomenon remain unknown. This study aimed to clarify the mechanism of the low immunogenicity of intramuscular SARS-CoV-2 mRNA vaccination in patients with MDs. Methods We evaluated 44 individuals, including 23 patients with MDs and 21 patients without MDs. The median age of the patients was 39 years (range 20-63 years). The anti-SARS-CoV-2 spike protein receptor-binding domain (S-RBD) IgG levels from a previous study were reused. Mean computed tomography (CT) values and areas of the deltoid muscle from CT images were measured, and they were compared with the anti-SARS-CoV-2 S-RBD IgG levels. Results One month following the second vaccination, the antibody response among patients with MDs showed a low tendency compared with that among patients without MDs. Surprisingly, a similar pattern was observed when comparing mean CT values. Patients with mean CT values of zero HU and lower had a lower tendency of antibody response after the intramuscular administration of SARS-CoV-2 mRNA vaccines. Conclusion The low immunogenicity of intramuscular SARS-CoV-2 mRNA vaccination against MDs may be mainly affected by disease type and MD pathogenesis. However, SARS-CoV-2 immunization in patients with MDs warrants further investigation.
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Affiliation(s)
- Tomoaki Naka
- Department of Pediatric Neurology, NHO Nagara Medical Center, Gifu, Japan
| | - Michinori Funato
- Department of Pediatric Neurology, NHO Nagara Medical Center, Gifu, Japan
| | - Kunihiko Yasuda
- Department of Pediatric Surgery, NHO Nagara Medical Center, Gifu, Japan
| | - Takahiro Nakayama
- Department of Neurology, Division of Neuromuscular Diseases, Yokohama Rosai Hospital, Yokohama, Japan
| | - Satoshi Kuru
- Department of Neurology, NHO Suzuka Hospital, Suzuka, Japan
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Herzberg J, Strate T, Passlack L, Guraya SY, Honarpisheh H. Effect of Preoperative Body Composition on Postoperative Anastomotic Leakage in Oncological Ivor Lewis Esophagectomy-A Retrospective Cohort Study. Cancers (Basel) 2024; 16:4217. [PMID: 39766116 PMCID: PMC11726741 DOI: 10.3390/cancers16244217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 12/03/2024] [Accepted: 12/13/2024] [Indexed: 01/15/2025] Open
Abstract
BACKGROUND Surgery for esophageal cancer has an associated high rate of postoperative complications such as anastomotic leakage (AL) and fistulas. Pre-operative sarcopenia as a loss of skeletal muscle mass and function is identified as a potential prognostic factor in determining the outcomes of oncological surgical resections for esophageal cancers. In this study, we evaluated the impact of body composition on postoperative complications in esophageal cancer surgery. METHODS In this cohort study, we analyzed patients' body composition at the level of the third lumbar vertebra on CT scans before Ivor Lewis resections for esophageal cancers between January 2015 and December 2022. Patients with a skeletal muscle index (SMI) ≤ 38.5 cm2/m2 in women and ≤52.4 cm2/m2 in men were classified as sarcopenic. Postoperative complications were categorized following the Dindo-Clavien classification and included AL, postoperative pneumonia, length of hospital stay, and failure-to-rescue which were compared between the sarcopenic and non-sarcopenic patients. RESULTS From a group of 111 patients with Ivor Lewis esophagectomy, 70 patients (63.1%) were classified as sarcopenic based on the SMI and the previously published gender-specific cut-off values. AL occurred at 12.6% (5.6% in adenocarcinoma). Within the whole cohort, patients with AL had a significantly low SMI of 43.487 ± 8.088 vs. 48.668 ± 7.514; p = 0.012. Additionally, the SMI showed a negative correlation to the length of postoperative hospital stay (r = -0.204; p = 0.032; N = 111). The failure-to-rescue rate was higher in the group of sarcopenic patients (12.8% vs. 8%). CONCLUSIONS Our data showed a correlation between SMI and AL. This effect could not be seen in gender-specific SMI. This study showed a lower failure-to-rescue rate in non-sarcopenic patients after Ivor Lewis esophagectomy. These findings underscore the crucial role of determining the preoperative nutritional and body composition status as measured by the preoperative CT scans.
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Affiliation(s)
- Jonas Herzberg
- Department of Surgery, Krankenhaus Reinbek St. Adolf-Stift, 21465 Reinbek, Germany
| | - Tim Strate
- Department of Surgery, Krankenhaus Reinbek St. Adolf-Stift, 21465 Reinbek, Germany
| | - Leon Passlack
- Department of Internal Medicine, Krankenhaus Reinbek St. Adolf-Stift, 21465 Reinbek, Germany
| | - Salman Yousuf Guraya
- Clinical Sciences Department, College of Medicine, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
| | - Human Honarpisheh
- Department of Surgery, Krankenhaus Reinbek St. Adolf-Stift, 21465 Reinbek, Germany
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Brath MSG, Sahakyan M, Mark EB, Rasmussen HH, Østergaard LR, Frøkjær JB, Weinreich UM, Jørgensen ME. Ethnic differences in CT derived abdominal body composition measures: a comparative retrospect pilot study between European and Inuit study population. Int J Circumpolar Health 2024; 83:2312663. [PMID: 38314517 PMCID: PMC10846476 DOI: 10.1080/22423982.2024.2312663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/26/2024] [Accepted: 01/28/2024] [Indexed: 02/06/2024] Open
Abstract
Understanding ethnic variations in body composition is crucial for assessing health risks. Universal models may not suit all ethnicities, and there is limited data on the Inuit population. This study aimed to compare body composition between Inuit and European adults using computed tomography (CT) scans and to investigate the influence of demographics on these measurements. A retrospective analysis was conducted on 50 adults (29 Inuit and 21 European) who underwent standard trauma CT scans. Measurements focused on skeletal muscle index (SMI), various fat indices, and densities at the third lumbar vertebra level, analyzed using the Wilcoxon-Mann-Whitney test and multiple linear regression. Inuit women showed larger fat tissue indices and lower muscle and fat densities than European women. Differences in men were less pronouncehd, with only Intramuscular fat density being lower among Inuit men. Regression indicated that SMI was higher among men, and skeletal muscle density decreased with Inuit ethnicity and age, while visceral fat index was positively associated with age. This study suggests ethnic differences in body composition measures particularly among women, and indicates the need for Inuit-specific body composition models. It higlights the importance of further research into Inuit-specific body composition measurements for better health risk assessment.
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Affiliation(s)
- Mia Solholt Godthaab Brath
- Department of Respiratory Medicine, Aalborg University Hospital, Aalborg, Denmark
- Respiratory Research Aalborg, Reaal, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Marina Sahakyan
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Esben Bolvig Mark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Mech-Sense, Department. of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Henrik Højgaard Rasmussen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Danish Nutrition Science Center, Department. of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
- Center for Nutrition and Intestinal Failure, Department. of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
- The Dietitians and Nutritional Research Unit, EATEN, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Lasse Riis Østergaard
- Medical Informatics group, Department. of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Jens Brøndum Frøkjær
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Ulla Møller Weinreich
- Department of Respiratory Medicine, Aalborg University Hospital, Aalborg, Denmark
- Respiratory Research Aalborg, Reaal, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Marit Eika Jørgensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Institute of Health and Nature, University of Greenland, Nuuk, Greenland
- Steno Diabetes Center Greenland, Queen Ingrid’s Hospital, Nuuk, Greenland
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Mironchuk O, Chang AL, Rahmani F, Portell K, Nunez E, Nigogosyan Z, Ma D, Popuri K, Chow VTY, Beg MF, Luo J, Ippolito JE. Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes. Sci Rep 2024; 14:27022. [PMID: 39505904 PMCID: PMC11541764 DOI: 10.1038/s41598-024-76280-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 10/11/2024] [Indexed: 11/08/2024] Open
Abstract
Clinically, the body mass index remains the most frequently used metric of overall obesity, although it is flawed by its inability to account for different adipose (i.e., visceral, subcutaneous, and inter/intramuscular) compartments, as well as muscle mass. Numerous prior studies have demonstrated linkages between specific adipose or muscle compartments to outcomes of multiple diseases. Although there are no universally accepted standards for body composition measurement, many studies use a single slice at the L3 vertebral level. In this study, we use computed tomography (CT) studies from patients in The Cancer Genome Atlas (TCGA) to compare current L3-based techniques with volumetric techniques, demonstrating potential limitations with level-based approaches for assessing outcomes. In addition, we identify gene expression signatures in normal kidney that correlate with fat and muscle body composition traits that can be used to predict sex-specific outcomes in renal cell carcinoma.
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Affiliation(s)
| | - Andrew L Chang
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, Mail Stop Code: 8131, 4559 Scott Ave, St. Louis, MO, 63110, USA
| | - Farzaneh Rahmani
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, Mail Stop Code: 8131, 4559 Scott Ave, St. Louis, MO, 63110, USA
| | - Kaitlyn Portell
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, Mail Stop Code: 8131, 4559 Scott Ave, St. Louis, MO, 63110, USA
| | - Elena Nunez
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, Mail Stop Code: 8131, 4559 Scott Ave, St. Louis, MO, 63110, USA
| | - Zack Nigogosyan
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, Mail Stop Code: 8131, 4559 Scott Ave, St. Louis, MO, 63110, USA
| | - Da Ma
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Karteek Popuri
- Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada
| | | | - Mirza Faisal Beg
- School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
| | - Jingqin Luo
- Division of Public Health Sciences, Department of Surgery, Siteman Cancer Center Biostatistics and Qualitative Research Shared Resource, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - Joseph E Ippolito
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, Mail Stop Code: 8131, 4559 Scott Ave, St. Louis, MO, 63110, USA.
- Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
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Fan J, Zuo L, Li F, Wang B, An Y, Yu D. Patients With Type 2 Diabetes Mellitus and Early Diabetic Kidney Disease Exhibit Lower Computed Tomography-measured Skeletal Muscle Attenuation Values: A Propensity Score-matched Study. J Ren Nutr 2024; 34:509-518. [PMID: 38777307 DOI: 10.1053/j.jrn.2024.04.002] [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: 09/14/2023] [Revised: 03/07/2024] [Accepted: 04/07/2024] [Indexed: 05/25/2024] Open
Abstract
OBJECTIVE To investigate the association between computed tomography-measured quality characteristics of skeletal muscle (SM) and early diagnosis of diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). METHODS This retrospective study included patients diagnosed with T2DM, with and without early DKD, between January 2019 and December 2021. To reduce potential bias, propensity score matching (PSM) was performed. The area and computed tomography attenuation values for SM and different abdominal adipose depots were measured. After PSM, logistic and multiple linear regression analyze were performed to analyse risk factors for early DKD. RESULTS A total of 267 patients were enrolled (mean age, 61.67 years ± 10.87; 155 men) and divided into two groups: T2DM with early DKD (n = 133); and T2DM without DKD (n = 134). After PSM, 230 patients were matched (T2DM with early DKD [n = 115]; and T2DM without DKD [n = 115]), with no statistical differences in general characteristics between the two groups (P > .05). In multivariate logistic regression analysis, high-density lipoprotein cholesterol (odds ratio [OR] 0.14; 95% confidence interval [CI] 0.04-0.49; P = .002), uric acid (OR 1.01; 95% CI 1.00-1.01; P = .006), and SM attenuation value (OR 0.94; 95% CI 0.90-0.98; P = .003) were independent risk factors for early DKD. Multiple linear regression analysis revealed significant correlations between SM attenuation value and cystatin C (β = -0.39, P = .004), urine albumin-to-creatinine ratio (β = -0.26, P = .026), and estimated glomerular filtration rate (β = 0.31 P = .009) after adjustment for confounders. CONCLUSION Patients with T2DM and lower SM attenuation values may exhibit a higher risk for early DKD than those with higher values, which provides a potential imaging biomarker for early DKD diagnosis.
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Affiliation(s)
- Jinlei Fan
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Liping Zuo
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Fangxuan Li
- Department of Ultrasound, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Bowen Wang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Yueming An
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Dexin Yu
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
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Garcia-Diez AI, Porta-Vilaro M, Isern-Kebschull J, Naude N, Guggenberger R, Brugnara L, Milinkovic A, Bartolome-Solanas A, Soler-Perromat JC, Del Amo M, Novials A, Tomas X. Myosteatosis: diagnostic significance and assessment by imaging approaches. Quant Imaging Med Surg 2024; 14:7937-7957. [PMID: 39544479 PMCID: PMC11558492 DOI: 10.21037/qims-24-365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 08/22/2024] [Indexed: 11/17/2024]
Abstract
Myosteatosis has emerged as an important concept in muscle health as it is associated with an increased risk of adverse health outcomes, a higher rate of complications, and increased mortality associated with ageing, chronic systemic and neuromuscular diseases, cancer, metabolic syndromes, degenerative events, and trauma. Myosteatosis involves ectopic infiltration of fat into skeletal muscle, and it exhibits a negative correlation with muscle mass, strength, and mobility representing a contributing factor to decreased muscle quality. While myosteatosis serves as an additional biomarker for sarcopenia, cachexia, and metabolic syndromes, it is not synonymous with sarcopenia. Myosteatosis induces proinflammatory changes that contribute to decreased muscle function, compromise mitochondrial function, and increase inflammatory response in muscles. Imaging techniques such as computed tomography (CT), particularly opportunistic abdominal CT scans, and magnetic resonance imaging (MRI) or magnetic resonance spectroscopy (MRS), have been used in both clinical practice and research. And in recent years, ultrasound has emerged as a promising bedside tool for measuring changes in muscle tissue. Various techniques, including CT-based muscle attenuation (MA) and intermuscular adipose tissue (IMAT) quantification, MRI-based proton density fat fraction (PDFF) and T1-T2 mapping, and musculoskeletal ultrasound (MSUS)-based echo intensity (EI) and shear wave elastography (SWE), are accessible in clinical practice and can be used as adjunct biomarkers of myosteatosis to assess various debilitating muscle health conditions. However, a stan¬dard definition of myosteatosis with a thorough understanding of the pathophysiological mechanisms, and a consensus in assessment methods and clinical outcomes has not yet been established. Recent developments in image acquisition and quantification have attempted to develop an appropriate muscle quality index for the assessment of myosteatosis. Additionally, emerging studies on artificial intelligence (AI) may provide further insights into quantification and automated assessment, including MRS analysis. In this review, we discuss the pathophysiological aspects of myosteatosis, all the current imaging techniques and recent advances in imaging assessment as potential biomarkers of myosteatosis, and the most common clinical conditions involved.
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Affiliation(s)
- Ana Isabel Garcia-Diez
- Department of Radiology, Hospital Clínic de Barcelona, Barcelona, Spain
- Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | | | | | - Natali Naude
- Institute of Glycomics, Griffith University, Gold Coast, Queensland, Australia
| | - Roman Guggenberger
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Switzerland
| | - Laura Brugnara
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Ana Milinkovic
- Chelsea and Westminster Foundation NHS Hospital Trust, Imperial College London, London, UK
| | | | | | - Montserrat Del Amo
- Department of Radiology, Hospital Clínic de Barcelona, Barcelona, Spain
- Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Anna Novials
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Xavier Tomas
- Department of Radiology, Hospital Clínic de Barcelona, Barcelona, Spain
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Michels G, Mattos Rosa G, Renke G, Starling-Soares B. Steatosarcopenia: A New Terminology for Clinical Conditions Related to Body Composition Classification. Life (Basel) 2024; 14:1383. [PMID: 39598182 PMCID: PMC11595699 DOI: 10.3390/life14111383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2024] [Revised: 10/04/2024] [Accepted: 10/17/2024] [Indexed: 11/29/2024] Open
Abstract
Body composition analysis focuses on measuring skeletal muscle mass and total body fat. The loss of muscle function and mass is related to clinical conditions such as frailty, increased risk of falls, and prolonged hospitalizations. Despite the relevance of the definition of sarcopenic obesity, there is still a gap in the monitoring of patients who have the combination of sarcopenia and myosteatosis, regardless of the presence of obesity. Therefore, we propose a new nomenclature, steatosarcopenia, a condition characterized by the loss of mass or skeletal muscle strength and performance associated with the excessive deposition of ectopic reserve fat in muscle tissue, in the same individual, not necessarily related to excess fat total body mass. A greater understanding of this condition may assist in developing strategies for preventing and treating metabolic diseases.
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Affiliation(s)
- Glaycon Michels
- IGM—Instituto Dr. Glaycon Michels, Florianópolis 88034-050, SC, Brazil
| | - Guido Mattos Rosa
- IGM—Instituto Dr. Glaycon Michels, Florianópolis 88034-050, SC, Brazil
| | - Guilherme Renke
- Nutrindo Ideais Performance and Nutrition Research Center, Rio de Janeiro 22411-040, ES, Brazil;
| | - Bernardo Starling-Soares
- Programa de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-250, MG, Brazil
- Extreme Sports Nutrition Institute—INEE, Belo Horizonte 31310-370, MG, Brazil
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40
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Ciesielka J, Jakimów K, Majewska K, Mrowiec S, Jabłońska B. The Association Between Preoperative Sarcopenia and Sarcopenic Obesity and the Occurrence of Postoperative Complications in Patients Undergoing Pancreaticoduodenectomy for Periampullary Malignancies-A Literature Review. Nutrients 2024; 16:3569. [PMID: 39458563 PMCID: PMC11510518 DOI: 10.3390/nu16203569] [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: 09/16/2024] [Revised: 10/12/2024] [Accepted: 10/19/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND Sarcopenia and sarcopenic obesity, perceived as a reflection of cancer-induced cachexia, are often diagnosed in patients with periampullary malignancies. The pathophysiology of those conditions is multifactorial regarding the tumor microenvironment, immunological response, and the relationship to surrounding tissues. METHODS The PubMed and SCOPUS databases were systematically searched between November 2023 and December 2023. A total of 254 studies were primarily identified. Regarding the inclusion and exclusion criteria, 26 studies were finally included in the review. RESULTS Evaluated papers disclosed that sarcopenia was significantly associated with a higher incidence of postoperative complications, including pancreatic fistula (POPF) type B and C, with the odds ratio (OR) ranging from 2.65 (95%CI 1.43-4.93, p = 0.002) to 4.30 (95%CI 1.15-16.01, p < 0.03). Sarcopenic patients also suffered more often from delayed gastric emptying (DGE) with an OR of 6.04 (95%CI 1.13-32.32, p = 0.036). Infectious complications, postoperative hemorrhage, and intra-abdominal abscesses occurred more often in sarcopenic patients. Surgical complications were also noted more frequently when sarcopenic obesity was present. Preoperative nutritional prehabilitation seems to reduce the risk of postoperative complications. However, more prospective studies are needed. CONCLUSIONS Sarcopenia and sarcopenic obesity were associated with a higher incidence of multiple postoperative complications, including POPF (type B and C), DGE, hemorrhage, and infectious complications.
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Affiliation(s)
- Jakub Ciesielka
- Student’s Scientific Association, Department of Digestive Tract Surgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Krzysztof Jakimów
- Student’s Scientific Association, Department of Digestive Tract Surgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Karolina Majewska
- Department of Digestive Tract Surgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (K.M.); (S.M.)
| | - Sławomir Mrowiec
- Department of Digestive Tract Surgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (K.M.); (S.M.)
| | - Beata Jabłońska
- Department of Digestive Tract Surgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (K.M.); (S.M.)
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Xie C, Qian W, Shang L, Wang X, Zhang J, Ma X, Pang X, Zhu L, Xi Q, Teng Y, Chen W. Assessment of body composition-related imaging parameters indicative of sarcopenia in Chinese patients with Crohn's disease: correlation with disease severity and biologic efficacy. Am J Transl Res 2024; 16:5427-5440. [PMID: 39544770 PMCID: PMC11558411 DOI: 10.62347/zpzr8134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 08/21/2024] [Indexed: 11/17/2024]
Abstract
OBJECTIVES To evaluate the prognostic value of body composition-related imaging parameters in assessing Crohn's disease (CD) severity and biological responses in Chinese patients. METHODS We retrospectively analyzed electronic medical records and Computed tomography (CT) images from 117 CD patients, including 90 with sarcopenia and 27 without. We calculated subcutaneous fat area (SFA), visceral fat area, skeletal muscle area (SMA), mesenteric fat index (MFI), skeletal muscle index (SMI), and muscle attenuation (MA). CD Activity Index (CDAI) score and Simple Endoscopic Score for CD (SES-CD) were used to evaluate inflammation and biologic efficacy. Correlation and comparative analyses were performed to determine associations between imaging parameters and clinical data. Receiver operating characteristic curve analysis evaluated the predictive performance of combined body composition indicators. RESULTS Sarcopenia was associated with higher CDAI scores and lower body mass index, albumin, and hemoglobin levels but was not associated with SES-CD or rates of clinical/endoscopic remission or response to biologic therapy. SMI was inversely correlated with CDAI score and SES-CD and positively correlated with albumin and hemoglobin. Endoscopy responders had higher SMA, MFI, SMI, and MA than non-responders. SES-CD improvement was positively correlated with MFI and MA and negatively correlated with SFA. The combined analysis of SMI, MFI, and MA yielded an area under the curve of 0.743 for predicting endoscopic response to biologic therapies in CD patients. CONCLUSIONS SMI may indicate CD severity, while MFI and MA could predict biologic response. Integrating multiple body composition parameters enhances treatment outcome evaluation, suggesting their potential utility in CD assessment.
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Affiliation(s)
- Chen Xie
- Department of Gastroenterology, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
| | - Wenwei Qian
- Department of General Surgery, The Fourth Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
| | - Liyun Shang
- Department of Nursing, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
- School of Nursing, Medical College of Soochow UniversitySuzhou, Jiangsu, China
| | - Xin Wang
- Department of Geriatric Medicine, Suzhou Municipal HospitalSuzhou, Jiangsu, China
| | - Jingwen Zhang
- Suzhou Medical College of Soochow UniversitySuzhou, Jiangsu, China
| | - Xinxing Ma
- Department of Radiology, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
| | - Xueqin Pang
- Department of Gastroenterology, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
| | - Lanxiang Zhu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
| | - Qinhua Xi
- Department of Gastroenterology, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
| | - Yue Teng
- Department of Radiology, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
| | - Weichang Chen
- Department of Gastroenterology, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, China
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Sheehy R, McCormack S, Fermoyle C, Corte T. Sarcopenia in interstitial lung disease. Eur Respir Rev 2024; 33:240126. [PMID: 39631931 PMCID: PMC11615663 DOI: 10.1183/16000617.0126-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 09/19/2024] [Indexed: 12/07/2024] Open
Abstract
BACKGROUND Interstitial lung disease (ILD) encompasses a heterogeneous group of chronic lung conditions with considerable variability in prognosis and response to treatment. People with reduced muscle mass and function, known as sarcopenia, have a higher risk of mortality and adverse clinical outcomes both in the general population and in other chronic disease states. The importance of sarcopenia across the spectrum of patients with ILD is not well established. OBJECTIVES In this narrative review, we explore the prevalence and clinical implications of sarcopenia in patients with ILD, evaluate the optimal methods to diagnose sarcopenia in this patient population and review treatment interventions. FINDINGS Almost one third of patients with chronic forms of ILD have evidence of sarcopenia. Sarcopenia is associated with adverse clinical outcomes and increased risk of mortality in select populations with ILD. Screening tests such as the SARC-F (strength, assistance walking, rise from a chair, climb stairs, falls) questionnaire and clinical assessment tools (including grip strength dynamometry) are well validated. Medical imaging modalities, including computed tomography, are hampered by lack of a gold standard and normative values, but have been used in patients with ILD in acute care and research settings. If sarcopenia is identified, multidimensional interventions such as pulmonary rehabilitation are beneficial. CONCLUSION Sarcopenia is common in patients with ILD and is associated with poorer outcomes. Accordingly, if identified, targeted interventions should be considered. Validated diagnostic criteria exist, but the optimal use of medical imaging techniques in this patient cohort remains an area of uncertainty.
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Affiliation(s)
- Robert Sheehy
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Department of Respiratory Medicine, Princess Alexandra Hospital, Brisbane, Australia
| | | | - Caitlin Fermoyle
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Tamera Corte
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Department of Respiratory Medicine, Royal Prince Alfred Hospital, Sydney, Australia
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43
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Vedder IR, Levolger S, Dierckx RAJO, Viddeleer AR, Bokkers RPH. Effect of contrast phase on quantitative analysis of skeletal muscle and adipose tissue by computed tomography. Nutrition 2024; 126:112492. [PMID: 39089132 DOI: 10.1016/j.nut.2024.112492] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/18/2024] [Accepted: 05/01/2024] [Indexed: 08/03/2024]
Abstract
OBJECTIVES Significant variability exists in the contrast phases applied during computed tomography (CT) studies when assessing morphometric measurements of muscle area (CT-assessed sarcopenia) and density (CT-assessed myosteatosis) and visceral adipose tissue area (CT-assessed visceral obesity). This study explored the impact of contrast phase timing on changes in morphometric measurements of body composition. METHODS This single-center retrospective cohort study included 459 patients undergoing a multiphase CT scan. Morphometric measurements were obtained at the third lumbar vertebra level. Patients were classified as sarcopenic, myosteatotic, or visceral obese using predefined cutoff values. The intraclass correlation coefficient was used to assess correlations across different enhancement phases, and Cohen's κ measured the inter-enhancement agreement for sarcopenia, myosteatosis, and visceral obesity. RESULTS Significant differences were observed in mean visceral adipose tissue area, muscle density, and muscle area (P < 0.001). The intraclass correlation coefficient between unenhanced and arterial phases was 0.987 (95% confidence interval [CI], 0.759-0.996) for adipose tissue, 0.995 (95% CI, 0.989-0.997) for muscle area, and 0.850 (95% CI, 0.000-0.956) for muscle density. However, when morphometric measurements were categorized using predefined cutoffs, the κ agreement was considerably lower, particularly for CT-assessed myosteatosis, ranging from 0.635 (unenhanced to arterial) to 0.331 (unenhanced to late venous phase). CONCLUSIONS Different CT contrast phases induce small but clinically significant alterations in the measurements of muscle area and density and visceral fat. Such minor changes can result in misclassification issues when fixed cutoff values are used to diagnose myosteatosis with CT. This underscores the importance of reporting absolute values and the specific contrast phase used in future studies.
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Affiliation(s)
- Issi R Vedder
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Stef Levolger
- Department of Radiology, Maasstad Hospital, Rotterdam, the Netherlands
| | - Rudi A J O Dierckx
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; Department of Nuclear Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Alain R Viddeleer
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Reinoud P H Bokkers
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
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Hendriks S, Huisman MG, Weerink L, Jonker LT, van Munster BC, de Haan JJ, de Bock GH, van Leeuwen BL. The relation between preoperative radiological sarcopenia and postoperative recovery of physical activity in older surgical cancer patients; an explorative study. J Nutr Health Aging 2024; 28:100345. [PMID: 39182320 DOI: 10.1016/j.jnha.2024.100345] [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: 04/24/2024] [Revised: 08/19/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024]
Abstract
To identify older surgical cancer patients at risk of decreased postoperative recovery of physical activity (PA), this study assesses whether preoperative radiological sarcopenia (RS) is associated with a decreased ability to return to baseline PA. RS was defined as decreased psoas muscle mass or -density by gender-specific cut-offs on CT-scans at level of vertebra L3. PA was assessed as steps/day measured with PA tracker and recovery of PA was defined as >90% of preoperative steps/day at 3 months postoperatively. Of 44 included patients aged 65 and over undergoing oncologic surgery, 18 patients (41%) showed RS. Seventeen patients (39%) returned to baseline PA, of which eight patients had RS (47%). RS was not associated with a return to baseline PA (OR: 1.38, 95%CI 0.39-4.92, p = 0.61). In this exploratory study, no association was found between preoperative RS and recovery of PA postoperatively.
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Affiliation(s)
- S Hendriks
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - M G Huisman
- Department of Internal Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - L Weerink
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - L T Jonker
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - B C van Munster
- Department of Internal Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - J J de Haan
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - G H de Bock
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - B L van Leeuwen
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Brath MSG, Kristensen SV, Sahakyan M, Mark EB, Rasmussen HH, Østergaard LR, Frøkjær JB, Weinreich UM. Influence of weight-adjusted contrast enhancement on computed tomography-derived skeletal muscle measures: a retrospective proof-of-concept comparative study between Danish females and males. Am J Clin Nutr 2024; 120:696-706. [PMID: 38936776 DOI: 10.1016/j.ajcnut.2024.06.009] [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: 09/15/2023] [Revised: 05/31/2024] [Accepted: 06/21/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Computed tomography (CT) has an underutilized potential for evaluating body composition in clinical settings. Often conducted with intravenous contrast (IVC), CT scans yield unused body composition data due to unclear effects on skeletal muscle area (SMA), skeletal muscle index (SMI), and muscle density (SMD). OBJECTIVES This study investigates whether weight-adjusted IVC influences SMA, SMI, and SMD differently in females and males compared with noncontrast abdominal CT. In addition, the study explores associations between contrast and noncontrast-assessed SMA, SMI, SMD, and demographic factors. METHODS A comparative observational retrospective study was conducted on Danish patients who underwent consecutive 4-phased contrast-enhanced abdominal CT scans (noncontrast, arterial, venous, and late venous phases). Muscle measures were evaluated using validated semiautomated threshold-based software by 3 independent raters. RESULTS The study included 72 patients (51 males and 21 females) with a mean age of 59 (55 and 62) y. Weight-adjusted IVC increased SMA by ≤3.28 cm2 (95% confidence interval [CI]: 2.58, 3.98) corresponding to 2.4% (1.8, 2.9) in the late venous phase compared with noncontrast CT. Analysis between sexes showed no difference in the effects of IVC on SMA and SMI between females and males. However, females exhibited a higher increase in SMD during the venous by a mean of 1.7 HU (0.9; 2.5) and late venous phases with a mean HU of 1.80 (1.0; 2.6) compared with males. Multivariate regression analysis indicated an association between the differences in SMD and sex during venous (-1.38, 95% CI: -2.48, -0.48) and late venous phases (-1.23, 95% CI: -2.27, -0.19). CONCLUSIONS Weight-adjusted IVC leads to increased SMA, SMI, and SMD. Although SMA and SMI differences were consistent across the sexes, females exhibited a significantly higher SMD increase than males in the venous and late venous phases. Further investigations are necessary to determine the applicability of SMD as a muscle quality proxy in IVC CT scans.
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Affiliation(s)
- Mia Solholt Godthaab Brath
- Department of Respiratory Medicine, Aalborg University Hospital, Aalborg, Denmark; Research Unit of Respiratory Diseases, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
| | - Sebastian Villesen Kristensen
- Institute of Regional Health Research, Southern Danish University, Odense, Denmark; Department of Radiology, Lillebaelt Hospital, University Hospitals of Southern Denmark, Kolding, Denmark
| | - Marina Sahakyan
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Esben Bolvig Mark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Henrik Højgaard Rasmussen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Danish Nutrition Science Center, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark; Center for Nutrition and Intestinal Failure, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark; The Dietitians and Nutritional Research Unit, EATEN, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | - Lasse Riis Østergaard
- Medical Informatics Group, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Jens Brøndum Frøkjær
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Ulla Møller Weinreich
- Department of Respiratory Medicine, Aalborg University Hospital, Aalborg, Denmark; Research Unit of Respiratory Diseases, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Fu P, Xiao X. Research Progress on Patients of Esophageal Cancer Complicated with Sarcopenia. Br J Hosp Med (Lond) 2024; 85:1-15. [PMID: 39212574 DOI: 10.12968/hmed.2024.0281] [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] [Indexed: 09/04/2024]
Abstract
Aims/Background The application of immunochemotherapy has significantly enhanced the quality of life and overall survival of patients with esophageal cancer. Sarcopenia, which is increasingly prevalent in these patients, markedly affects prognosis, but can be reversed by appropriate and effective treatment. Methods The narrative review was conducted on PubMed using the keywords ("esophageal" or "esophagus" and "sarcopenia"). Results This article reviews the measurement, timing, and intervention strategies for sarcopenia in patients with esophageal cancer. It summarizes the evaluation indicators of skeletal muscle loss in these patients, analyzes the barriers to intervention for frailty among esophageal cancer patients, and proposes corresponding countermeasures. Conclusion Patients with esophageal cancer often suffer from severe sarcopenia. Clinical intervention is crucial in addressing this issue.
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Affiliation(s)
- PingPing Fu
- Department of Nursing, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, China
| | - XiaoFang Xiao
- Department of Oncology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, China
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Kim HS, Cho YK, Kim MJ, Kim EH, Lee MJ, Lee WJ, Kim HK, Jung CH. Association between atherogenic dyslipidemia and muscle quality defined by myosteatosis. Front Endocrinol (Lausanne) 2024; 15:1327522. [PMID: 39170735 PMCID: PMC11335673 DOI: 10.3389/fendo.2024.1327522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 07/25/2024] [Indexed: 08/23/2024] Open
Abstract
Background Myosteatosis, ectopic fat accumulation in skeletal muscle, is a crucial component of sarcopenia, linked to various cardiometabolic diseases. This study aimed to analyze the association between dyslipidemia and myosteatosis using abdominal computed tomography (CT) in a large population. Methods This study included 11,823 patients not taking lipid-lowering medications with abdominal CT taken between 2012 and 2013. Total abdominal muscle area (TAMA), measured at the L3 level, was segmented into skeletal muscle area (SMA) and intramuscular adipose tissue. SMA was further classified into normal attenuation muscle area (NAMA: good quality muscle) and low attenuation muscle area (poor quality muscle). NAMA divided by TAMA (NAMA/TAMA) represents good quality muscle. Atherosclerotic dyslipidemia was defined as high-density lipoprotein cholesterol (HDL-C) less than 40 mg/dL in men and 50 mg/dL in women, low-density lipoprotein cholesterol (LDL-C) greater than 160 mg/dL, triglycerides (TG) greater than 150 mg/dL, small dense LDL-C (sdLDL-C) greater than 50.0 mg/dL, or apolipoprotein B/A1 (apoB/A1) greater than 0.08. Results The adjusted odds ratios (ORs) of dyslipidemia according to the HDL-C and sdLDL definitions were greater in both sexes in the lower quartiles (Q1~3) of NAMA/TAMA compared with Q4. As per other definitions, the ORs were significantly increased in only women for LDL-C and only men for TG and ApoB/A1. In men, all lipid parameters were significantly associated with NAMA/TAMA, while TG and ApoB/A1 did not show significant association in women. Conclusion Myosteatosis measured in abdominal CT was significantly associated with a higher risk of dyslipidemia. Myosteatosis may be an important risk factor for dyslipidemia and ensuing cardiometabolic diseases.
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Affiliation(s)
- Hwi Seung Kim
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Republic of Korea
| | - Yun Kyung Cho
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Republic of Korea
| | - Myung Jin Kim
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Republic of Korea
| | - Eun Hee Kim
- Department of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Min Jung Lee
- Department of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Woo Je Lee
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Republic of Korea
| | - Hong-Kyu Kim
- Department of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Chang Hee Jung
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Republic of Korea
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Yang D, Su L, Zhang L, Zhang Y, Li Y, Huang T, Huang X. Sarcopenia predicts postoperative complications in head and neck cancer: a systematic review and meta-analysis. Eur Arch Otorhinolaryngol 2024; 281:3959-3975. [PMID: 38647686 DOI: 10.1007/s00405-024-08577-1] [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: 12/23/2023] [Accepted: 02/19/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE We performed this systematic review and meta-analysis to explore the impact of preoperative sarcopenia on postoperative complication risks after head and neck cancer (HNC) surgery. METHODS We identified eligible studies by searching Ovid-MEDLINE, Ovid-Embase, EBM Reviews-Cochrane Central Register of Controlled Trials, Web of Science Core Collection, and Scopus. This systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance. RESULTS Twenty-one studies with a total of 3480 patients met our inclusion criteria. The presence of sarcopenia significantly increased the incidence of overall postoperative complications (OR = 1.72, 95% CI 1.23, 2.41; P = 0.002; I2 = 59%). Subgroup analyses showed a higher risk of postoperative complications in the populations in which sarcopenia was diagnosed with low L3-skeletal muscle index (L3-SMI) or low cross-sectional area of the rectus femoris, but not in the group that sarcopenia was diagnosed with low C3-SMI. Preoperative sarcopenia also substantially increased the risk of severe postoperative complications (OR = 2.26), pharyngocutaneous fistulas (OR = 2.15), free flap-related complications (OR = 1.63), and surgical site infections (OR = 1.84). We also found a tendency toward a higher incidence of wound complications and 30-day mortality in patients with sarcopenia. CONCLUSION Preoperative sarcopenia is a negative prognostic indicator for postoperative complications in patients with HNC after surgery. To reduce the incidence of postoperative complications and improve poor prognosis, further attention needs to be paid to the evaluation and management of preoperative sarcopenia.
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Affiliation(s)
- Dan Yang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Lin Su
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Liying Zhang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yu Zhang
- Department of Biomedical Engineering, Sichuan University Library, Chengdu, 610041, Sichuan, China
| | - Yina Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Tingxuan Huang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Xiaoli Huang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
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49
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He Q, Xia W. Analysis of the current status of computed tomography diagnosis of sarcopenia. Arch Med Sci 2024; 21:374-382. [PMID: 40395884 PMCID: PMC12087324 DOI: 10.5114/aoms/191297] [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: 11/15/2023] [Accepted: 07/16/2024] [Indexed: 05/22/2025] Open
Abstract
Sarcopenia is a clinical syndrome characterized by the reduction of skeletal muscle mass and strength, leading to adverse events such as falls, fractures, frailty, disability, and increased mortality. Compared to previous diagnostic techniques such as dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA), and body composition analysis, computed tomography (CT) offers significant advantages. Opportunistic CT imaging, enhanced by artificial intelligence (AI) software, provides a superior diagnostic tool for sarcopenia. AI software can automatically segment muscle groups on opportunistic CT images from different populations, enabling the efficient calculation of body composition parameters and more accurate and rapid diagnosis of sarcopenia. Early intervention may significantly reduce adverse clinical outcomes associated with sarcopenia. This study aims to evaluate the advantages of using CT images compared to traditional diagnostic techniques and to assess the value of skeletal muscle parameters at different spinal levels on opportunistic CT images for diagnosing sarcopenia.
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Affiliation(s)
- Qingxin He
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenfang Xia
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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de Oliveira Bezerra MR, de Sousa IM, Miranda AL, Ferreira GMC, Chaves GV, Verde SMML, Maurício SF, da Costa Pereira JP, Gonzalez MC, Prado CM, Fayh APT. Age-adjusted Charlson comorbidity index and its association with body composition and overall survival in patients with colorectal cancer. Support Care Cancer 2024; 32:517. [PMID: 39014284 DOI: 10.1007/s00520-024-08730-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 07/10/2024] [Indexed: 07/18/2024]
Abstract
OBJECTIVE To examine the relationship between the age-adjusted Charlson comorbidity index (A-CCI) with body composition and overall survival in patients newly diagnosed with colorectal cancer (CRC). RESEARCH METHODS AND PROCEDURES In this cohort study, patients (≥ 18 years old) with CRC were followed for 36 months. Computed tomography images of the third lumbar were analyzed to determine body composition, including skeletal muscle area (SMA), skeletal muscle index (SMI), skeletal muscle radiodensity (SMD), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Phenotypes based on comorbidity burden assessed by A-CCI and body composition parameters were established. RESULTS A total of 436 participants were included, 50% male, with a mean age of 61 ± 13.2 years. Approximately half of the patients (50.4%) had no comorbidity, and the A-CCI median score was 4 (interquartile range: 3-6). A higher A-CCI score was a risk factor for 36-month mortality (HR = 3.59, 95% CI = 2.17-5.95). Low SMA and low SMD were associated with a higher A-CCI. All abnormal phenotypes (high A-CCI and low SMA; high A-CCI and low SMD; high A-CCI and high VAT) were independently associated with higher 36-month mortality hazard (adjusted HR 5.12, 95% CI 2.73-9.57; adjusted HR 4.58, 95% CI 2.37-8.85; and adjusted HR 2.36, 95% CI 1.07-5.22, respectively). CONCLUSION The coexistence of comorbidity burden and abnormal body composition phenotypes, such as alterations in muscle or fat compartments, may pose an additional risk of mortality in patients newly diagnosed with CRC. Early assessment and management of these phenotypes could be crucial in optimizing outcomes in such patients.
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Affiliation(s)
- Mara Rúbia de Oliveira Bezerra
- Health Sciences Center, Postgraduate Program in Nutrition, Federal University of Rio Grande Do Norte, Natal, Rio Grande Do Norte, Brazil
| | - Iasmin Matias de Sousa
- Health Sciences Center, Postgraduate Program in Health Sciences, Federal University of Rio Grande Do Norte, Avenida Senador Salgado Filho, no 3000, Natal, Rio Grande Do Norte, 59078-970, Brazil
| | - Ana Lúcia Miranda
- Health Sciences Center, Postgraduate Program in Health Sciences, Federal University of Rio Grande Do Norte, Avenida Senador Salgado Filho, no 3000, Natal, Rio Grande Do Norte, 59078-970, Brazil
- Luiz Antonio Hospital, Liga Norteriograndense Contra O Câncer, Natal, Rio Grande Do Norte, Brazil
| | - Glaucia Mardrini Cassiano Ferreira
- Health Sciences Center, Postgraduate Program in Health Sciences, Federal University of Rio Grande Do Norte, Avenida Senador Salgado Filho, no 3000, Natal, Rio Grande Do Norte, 59078-970, Brazil
| | - Gabriela Villaça Chaves
- Department of Nutrition, Cancer Hospital II, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
| | | | - Silvia Fernandes Maurício
- Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil
| | - Jarson Pedro da Costa Pereira
- Postgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, Pernambuco, Brazil
| | - M Cristina Gonzalez
- Postgraduate Program in Nutrition and Food, Federal University of Pelotas, Pelotas, Rio Grande Do Sul, Brazil
| | - Carla M Prado
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada
| | - Ana Paula Trussardi Fayh
- Health Sciences Center, Postgraduate Program in Nutrition, Federal University of Rio Grande Do Norte, Natal, Rio Grande Do Norte, Brazil.
- Health Sciences Center, Postgraduate Program in Health Sciences, Federal University of Rio Grande Do Norte, Avenida Senador Salgado Filho, no 3000, Natal, Rio Grande Do Norte, 59078-970, Brazil.
- PesqClin Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH), Federal University of Rio Grande Do Norte, Natal, Brazil.
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