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Chowdhury TA, Mukuba D, Casabar M, Byrne C, Yaqoob MM. Management of diabetes in people with advanced chronic kidney disease. Diabet Med 2025; 42:e15402. [PMID: 38992927 DOI: 10.1111/dme.15402] [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: 04/02/2024] [Revised: 05/28/2024] [Accepted: 06/24/2024] [Indexed: 07/13/2024]
Abstract
Diabetes is the commonest cause of end stage kidney disease globally, accounting for almost 40% of new cases requiring renal replacement therapy. Management of diabetes in people with advanced kidney disease on renal replacement therapy is challenging due to some unique aspects of assessment and treatment in this group of patients. Standard glycaemic assessment using glycated haemoglobin may not be valid in such patients due to altered red blood cell turnover or iron/erythropoietin deficiency, leading to changed red blood cell longevity. Therefore, use of continuous glucose monitoring may be beneficial to enable more focussed glycaemic assessment and improved adjustment of therapy. People with advanced kidney disease may be at higher risk of hypoglycaemia due to a number of physiological mechanisms, and in addition, therapeutic options are limited in such patients due to lack of experience or license. Insulin therapy is the basis of treatment of people with diabetes with advanced kidney disease due to many other drugs classes being contraindicated. Targets for glycaemic control should be adjusted according to co-morbidity and frailty, and continuous glucose monitoring should be used in people on dialysis to ensure low risk of hypoglycaemia. Post-transplant diabetes is common amongst people undergoing solid organ transplantation and confers a greater risk of mortality and morbidity in kidney transplant recipients. It should be actively screened for and managed in the post-transplant setting.
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Affiliation(s)
| | - Dorcas Mukuba
- Department of Diabetes, The Royal London Hospital, London, UK
| | - Mahalia Casabar
- Department of Nephrology, The Royal London Hospital, London, UK
| | - Conor Byrne
- Department of Nephrology, The Royal London Hospital, London, UK
| | - M Magdi Yaqoob
- Barts and the London School of Medicine and Dentistry, London, UK
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Sun Y, Kosmas P. Integrating Bayesian Approaches and Expert Knowledge for Forecasting Continuous Glucose Monitoring Values in Type 2 Diabetes Mellitus. IEEE J Biomed Health Inform 2025; 29:1419-1432. [PMID: 39352827 DOI: 10.1109/jbhi.2024.3472077] [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: 10/04/2024]
Abstract
Precise and timely forecasting of blood glucose levels is essential for effective diabetes management. While extensive research has been conducted on Type 1 diabetes mellitus, Type 2 diabetes mellitus (T2DM) presents unique challenges due to its heterogeneity, underscoring the need for specialized blood glucose forecasting systems. This study introduces a novel blood glucose forecasting system, applied to a dataset of 100 patients from the ShanghaiT2DM study. Our study uniquely integrates knowledge-driven and data-driven approaches, leveraging expert knowledge to validate and interpret the relationships among diabetes-related variables and deploying the data-driven approach to provide accurate forecast blood glucose levels. The Bayesian network approach facilitates the analysis of dependencies among various diabetes-related variables, thus enabling the inference of continuous glucose monitoring (CGM) trajectories in similar individuals with T2DM. By incorporating past CGM data including inference CGM trajectories, dietary records, and individual-specific information, the Bayesian structural time series (BSTS) model effectively forecasts glucose levels across time intervals ranging from 15 to 60 minutes. Forecast results show a mean absolute error of mg/dL, a root mean square error of mg/dL, and a mean absolute percentage error of , for a 15-minute prediction horizon. This study makes the first application of the ShanghaiT2DM dataset for glucose level forecasting, considering the influences of diabetes-related variables. Its findings establish a foundational framework for developing personalized diabetes management strategies, potentially enhancing diabetes care through more accurate and timely interventions.
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Laghrib Y, Hilbrands L, Oniscu GC, Crespo M, Gandolfini I, Mariat C, Mjøen G, Sever MS, Watschinger B, Velioglu A, Demir E, Martinez EG, De Weerd A, Dedinska I, Pippias M, Massart A, Abramowicz D, de Fijter JW, De Block C, Hellemans R. Current practices in prevention, screening, and treatment of diabetes in kidney transplant recipients: European survey highlights from the ERA DESCARTES Working Group. Clin Kidney J 2025; 18:sfae367. [PMID: 39839808 PMCID: PMC11747291 DOI: 10.1093/ckj/sfae367] [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: 09/11/2024] [Indexed: 01/23/2025] Open
Abstract
Background Although post-transplant diabetes mellitus (PTDM) is a common complication after kidney transplantation, there are few data on prevention, optimal screening, and treatment strategies. Methods The European Renal Association's DESCARTES working group distributed a web-based survey to European transplant centres to gather information on risk assessment, screening procedures, and management practices for preventing and treating PTDM in kidney transplant recipients. Results Answers were obtained from 121/241 transplant centres (50%) across 15 European countries. Screening practices for diabetes mellitus during the transplant work-up varied, with only 13% of centres using the recommended oral glucose tolerance test (OGTT) and 14% not screening at all. At transplantation, 19% of centres tailored the immunosuppressive regimen based on perceived PTDM risk, using strategies such as cyclosporin use or early steroid withdrawal. Fifty-two percent adopted strict glycaemic control with basal insulin in the first days post-transplant. Sixty-eight percent had defined screening protocols for early PTDM (45 days-6 months), primarily based on fasting glycaemia and/or HbA1c, while only a minority (7%) incorporated an OGTT. Changes in immunosuppression were considered by 41% in cases of early hyperglycaemia (<45 days) and by 58% in established PTDM (>45 days). Besides insulin therapy, dipeptidyl peptidase-4 (DPP4) inhibitors and metformin were most frequently used to manage early hyperglycaemia (<45 days) and PTDM (>45 days). The use of SGLT2 inhibitors and GLP-analogues increased >45 days post-transplantation. Conclusion This European survey underscores the significant variation in PTDM prevention, screening, and treatment practices, emphasizing the imperative for more explicit guidance in approaching this complication.
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Affiliation(s)
- Yassine Laghrib
- Department of Nephrology-Hypertension, Antwerp University Hospital, Edegem, Belgium
- Faculty of Medicine & Health Sciences, Laboratory of Experimental Medicine and Paediatrics (LEMP), University of Antwerp, Wilrijk, Belgium
| | - Luuk Hilbrands
- Department of Nephrology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Gabriel C Oniscu
- Transplant Division, Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden
| | - Marta Crespo
- Department of Nephrology, Hospital del Mar Barcelona, Barcelona, Spain
| | - Ilaria Gandolfini
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Nephrology Unit, University Hospital of Parma, Parma, Italy
| | - Christophe Mariat
- Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France
| | | | - Mehmet Sukru Sever
- Division of Nephrology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul, Türkiye
| | - Bruno Watschinger
- Department of Nephrology, Medical University of Vienna, Vienna, Austria
| | - Arzu Velioglu
- Marmara University, School of Medicine, Department of Nephrology, Istanbul, Türkiye
| | - Erol Demir
- Transplant Immunology Research Centre of Excellence, Koç University Hospital, Istanbul, Türkiye
| | | | - Annelies De Weerd
- Department of Internal Medicine, Erasmus MC Transplant Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Ivana Dedinska
- Transplant Centre, University Hospital Martin, Martin, Slovakia
| | - Maria Pippias
- North Bristol NHS Trust, Renal Unit, Bristol, UK
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK
| | - Annick Massart
- Department of Nephrology-Hypertension, Antwerp University Hospital, Edegem, Belgium
- Faculty of Medicine & Health Sciences, Laboratory of Experimental Medicine and Paediatrics (LEMP), University of Antwerp, Wilrijk, Belgium
| | - Daniel Abramowicz
- Department of Nephrology-Hypertension, Antwerp University Hospital, Edegem, Belgium
- Faculty of Medicine & Health Sciences, Laboratory of Experimental Medicine and Paediatrics (LEMP), University of Antwerp, Wilrijk, Belgium
| | - Johan Willem de Fijter
- Department of Nephrology-Hypertension, Antwerp University Hospital, Edegem, Belgium
- Faculty of Medicine & Health Sciences, Laboratory of Experimental Medicine and Paediatrics (LEMP), University of Antwerp, Wilrijk, Belgium
| | - Christophe De Block
- Faculty of Medicine & Health Sciences, Laboratory of Experimental Medicine and Paediatrics (LEMP), University of Antwerp, Wilrijk, Belgium
- Endocrinology, Diabetology & Metabolism, Antwerp University Hospital, Edegem, Belgium
| | - Rachel Hellemans
- Department of Nephrology-Hypertension, Antwerp University Hospital, Edegem, Belgium
- Faculty of Medicine & Health Sciences, Laboratory of Experimental Medicine and Paediatrics (LEMP), University of Antwerp, Wilrijk, Belgium
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Lu JC, Lee P, Ierino F, MacIsaac RJ, Ekinci E, O’Neal D. Challenges of Glycemic Control in People With Diabetes and Advanced Kidney Disease and the Potential of Automated Insulin Delivery. J Diabetes Sci Technol 2024; 18:1500-1508. [PMID: 37162092 PMCID: PMC11531035 DOI: 10.1177/19322968231174040] [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] [Indexed: 05/11/2023]
Abstract
Diabetes is the leading cause of chronic kidney disease (CKD) and end-stage kidney disease in the world. It is known that maintaining optimal glycemic control can slow the progression of CKD. However, the failing kidney impacts glucose and insulin metabolism and contributes to increased glucose variability. Conventional methods of insulin delivery are not well equipped to adapt to this increased glycemic lability. Automated insulin delivery (AID) has been established as an effective treatment in patients with type 1 diabetes mellitus, and there is emerging evidence for their use in type 2 diabetes mellitus. However, few studies have examined their role in diabetes with concurrent advanced CKD. We discuss the potential benefits and challenges of AID use in patients with diabetes and advanced CKD, including those on dialysis.
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Affiliation(s)
- Jean C. Lu
- Department of Medicine, St Vincent’s Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
| | - Petrova Lee
- Department of Nephrology, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
| | - Francesco Ierino
- Department of Medicine, St Vincent’s Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Nephrology, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
- St Vincent’s Institute of Medical Research, Fitzroy, VIC, Australia
| | - Richard J. MacIsaac
- Department of Medicine, St Vincent’s Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
| | - Elif Ekinci
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, Austin Health, Heidelberg, VIC, Australia
- Department of Medicine, Austin Hospital, The University of Melbourne, Heidelberg, VIC, Australia
| | - David O’Neal
- Department of Medicine, St Vincent’s Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
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Veeranki V, Prasad N. Utilising continuous glucose monitoring for glycemic control in diabetic kidney disease. World J Diabetes 2024; 15:2006-2009. [PMID: 39493559 PMCID: PMC11525722 DOI: 10.4239/wjd.v15.i10.2006] [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: 03/28/2024] [Revised: 06/07/2024] [Accepted: 07/09/2024] [Indexed: 09/26/2024] Open
Abstract
In this editorial, we comment on the article by Zhang et al. Chronic kidney disease (CKD) presents a significant challenge in managing glycemic control, especially in diabetic patients with diabetic kidney disease undergoing dialysis or kidney transplantation. Conventional markers like glycated haemoglobin (HbA1c) may not accurately reflect glycemic fluctuations in these populations due to factors such as anaemia and kidney dysfunction. This comprehensive review discusses the limitations of HbA1c and explores alternative methods, such as continuous glucose monitoring (CGM) in CKD patients. CGM emerges as a promising technology offering real-time or retrospective glucose concentration measure-ments and overcoming the limitations of HbA1c. Key studies demonstrate the utility of CGM in different CKD settings, including hemodialysis and peritoneal dialysis patients, as well as kidney transplant recipients. Despite challenges like sensor accuracy fluctuation, CGM proves valuable in monitoring glycemic trends and mitigating the risk of hypo- and hyperglycemia, to which CKD patients are prone. The review also addresses the limitations of CGM in CKD patients, emphasizing the need for further research to optimize its utilization in clinical practice. Altogether, this review advocates for integrating CGM into managing glycemia in CKD patients, highlighting its superiority over traditional markers and urging clinicians to consider CGM a valuable tool in their armamentarium.
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Affiliation(s)
- Vamsidhar Veeranki
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| | - Narayan Prasad
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
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Bovee LB, Hirsch IB. Should We Bury HbA1c? Diabetes Technol Ther 2024; 26:509-513. [PMID: 38350127 DOI: 10.1089/dia.2024.0028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Affiliation(s)
- Laura B Bovee
- University of Washington Medicine Diabetes Institute, Seattle, Washington, USA
| | - Irl B Hirsch
- University of Washington Medicine Diabetes Institute, Seattle, Washington, USA
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Kaizu Y, Nagata M, Kaizu S, Qie Y, Kaizu K, Tanaka S, Nakano T, Kitazono T. Association between glycated albumin and sudden death in patients undergoing hemodialysis. Clin Exp Nephrol 2024; 28:656-663. [PMID: 38436900 PMCID: PMC11190002 DOI: 10.1007/s10157-024-02475-w] [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: 12/17/2023] [Accepted: 02/09/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND The frequency of sudden death and its risk factors in patients undergoing hemodialysis are unknown. This study was performed to examine the association between glycated albumin (GA) and sudden death in Japanese patients undergoing hemodialysis. METHODS In total, 260 patients undergoing hemodialysis aged ≥18 years were retrospectively followed for a mean of 4.6 years. The patients' serum GA levels were divided into tertiles, and the patients' sex, age, albumin level, C-reactive protein (CRP) level, and cardiothoracic ratio (CTR) were selected as adjustment factors. A logistic regression model was used to calculate the odds ratio (OR) for the occurrence of sudden death by GA level. RESULTS Ninety-one patients died during follow-up. Of the 91 deaths, 23 (25.2%) were defined as sudden deaths. Compared with non-sudden death cases, sudden death cases were significantly younger (p = 0.002) and had a higher proportion of men (p = 0.03), a higher proportion of diabetes (p = 0.008), and higher GA levels (p = 0.023). Compared with patients with the lowest GA levels (<15.2%), those with the highest GA levels (≥18.5%) had a sex- and age-adjusted OR for sudden death of 5.40 [95% confidence interval (CI): 1.35-21.85]. After adjusting for the albumin level, CRP level, and CTR in addition to sex and age, the OR for sudden death of patients with the highest GA levels increased to 6.80 (95%CI: 1.64-28.08); the relationship did not change. CONCLUSION Serum GA levels were significantly associated with sudden death in patients undergoing hemodialysis.
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Affiliation(s)
| | - Masaharu Nagata
- Shin-Eikai Hospital, 14-11 Benten-Cho, Kokurakita-Ku, Kitakyushu-City, Fukuoka, 803-0856, Japan.
| | | | | | - Kazo Kaizu
- Shinkitakyusyujinzo Clinic, Fukuoka, Japan
| | - Shigeru Tanaka
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiaki Nakano
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Sun Y, Lei J, Kosmas P. Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2024; 2024:1-5. [PMID: 40039179 DOI: 10.1109/embc53108.2024.10782594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2025]
Abstract
Understanding the complex relationships of biomarkers in diabetes is pivotal for advancing treatment strategies, a pressing need in diabetes research. This study applies Bayesian network structure learning to analyze the Shanghai Type 1 and Type 2 diabetes mellitus datasets, revealing complex relationships among key diabetes-related biomarkers. The constructed Bayesian network presented notable predictive accuracy, particularly for Type 2 diabetes mellitus, with root mean squared error (RMSE) of 18.23 mg/dL, as validated through leave-one-domain experiments and Clarke error grid analysis. This study not only elucidates the intricate dynamics of diabetes through a deeper understanding of biomarker interplay but also underscores the significant potential of integrating data-driven and knowledge-driven methodologies in the realm of personalized diabetes management. Such an approach paves the way for more custom and effective treatment strategies, marking a notable advancement in the field.
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Frankel AH, Wahba M, Ashworth V, Bedi R, Berrington R, Buckley M, Chandrasekharan L, Doyle F, Duval D, Game F, Hamilton S, Hussain S, James J, Jebb H, Karalliedde J, Kong MF, Kuverji A, Lambie M, Main C, Price S, Wijewickrama P, Williams J, Dhatariya K, Chowdhury TA. Management of adults with diabetes on dialysis: Summary of recommendations of the Joint British Diabetes Societies guidelines 2022. Diabet Med 2023; 40:e15027. [PMID: 36524709 DOI: 10.1111/dme.15027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/07/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022]
Abstract
Diabetes is the commonest cause of end-stage kidney disease in many parts of the world, and many people on dialysis programmes live with diabetes. Such people are vulnerable to complications from their diabetes, and their care may be fragmented due to the many specialists involved. This updated guidance from the Joint British Diabetes Societies aims to review and update the 2016 guidance, with particular emphasis on glycaemic monitoring in the light of recent advances in this area. In addition, the guidance covers clinical issues related to the management of diabetes in people on peritoneal dialysis, along with acute complications such as hypoglycaemia and ketoacidosis, and chronic complications such as foot and eye disease.
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Affiliation(s)
| | - Mona Wahba
- Epsom and St Helier University Hospitals NHS Trust, Carshalton, UK
| | - Vicky Ashworth
- School of Health Sciences, Institute of Clinical Sciences, University of Liverpool, Liverpool, UK
| | - Rachna Bedi
- Imperial College Healthcare NHS Trust, London, UK
| | | | | | | | - Fiona Doyle
- Epsom and St Helier University Hospitals NHS Trust, Carshalton, UK
| | | | - Frances Game
- University Hospitals of Derby and Burton NHS Foundation, Derby, UK
- University of Nottingham, Nottingham, UK
| | - Susie Hamilton
- Manchester University NHS Foundation Trust, Manchester, UK
| | | | - June James
- Leicester Diabetes Centre, Leicester, UK
| | - Hannah Jebb
- Imperial College Healthcare NHS Trust, London, UK
| | | | | | - Apexa Kuverji
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | | | - Sara Price
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | | | | | - Ketan Dhatariya
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Tahseen A Chowdhury
- Department of Diabetes and Metabolism, The Royal London Hospital, London, UK
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Bleskestad IH, Skadberg Ø, Åsberg A, Gøransson LG. Glycated albumin and post-transplant diabetes mellitus in kidney transplant recipients. Ann Clin Biochem 2023; 60:109-116. [PMID: 36604778 DOI: 10.1177/00045632231152074] [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: 01/07/2023]
Abstract
BACKGROUND Post-transplant diabetes mellitus is one of the most important cardiovascular risk factors after solid organ transplantation. Factors other than hyperglycaemia found in patients post-transplant, affect the level of haemoglobin A1c (HbA1c), and new markers of hyperglycaemia are needed. Our aim was to establish a 95% reference interval for glycated albumin in kidney transplant recipients, and to compare glycated albumin concentrations to the diagnostic criteria for diabetes mellitus post-transplant using oral glucose tolerance test and HbA1c. METHODS A total of 341 non-diabetic kidney transplant recipients aged ≥18 years who underwent an oral glucose tolerance test at 8 weeks and 1 year after transplantation were included. Glycated albumin was determined by liquid chromatography coupled with tandem mass spectrometry. RESULTS The 95% reference interval for glycated albumin was 8.2 (90% CI: 7.2-8.5) to 12.8% (90% CI: 12.2-13.5) which is not significantly different from our laboratory's 95% reference interval for persons without diabetes. At both 8 weeks and 1 year after transplantation, 35 patients (10.3%) fulfilled one, two or all three diagnostic criteria for diabetes mellitus. One year after transplantation, eight additional patients had glycated albumin concentration >12.8%. CONCLUSION Our findings are in accordance with the notion that kidney transplant recipients form glycation end products like normal controls as estimated by glycated albumin and HbA1c. Further studies should address glycated albumin as a supplemental tool for the diagnosis of post-transplant diabetes mellitus in kidney transplant recipients.
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Affiliation(s)
- Inger H Bleskestad
- Department of Medicine, 60496Stavanger University Hospital, Stavanger, Norway
| | - Øyvind Skadberg
- Department of Medicine, 60496Stavanger University Hospital, Stavanger, Norway
| | - Anders Åsberg
- Department of Organ Transplantation, The Norwegian Renal Registry, 155272Oslo University Hospital, Oslo, Norway.,Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Lasse G Gøransson
- Department of Medicine, 60496Stavanger University Hospital, Stavanger, Norway.,Faculty of Medicine, Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Folgueras García A, Corte Arboleya Z, Venta Obaya R. [Alternative strategies to the use of glycosylated hemoglobin in monitoring the glycemic status of diabetic patients with end-stage renal disease]. Med Clin (Barc) 2023; 160:145-150. [PMID: 35945057 DOI: 10.1016/j.medcli.2022.05.014] [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: 12/17/2021] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Diabetes mellitus (DM) is one of the leading causes of end-stage renal disease. Glycosylated hemoglobin (HbA1c) is the recommended glycemic marker to achieve an optimal glycemic control that is essential to prevent comorbidities associated with the disease. However, in patients on haemodialysis (HD) this marker has important limitations, this reason has led us to search alternative markers such as glycosylated albumin (AG), labile fraction of glycosylated hemoglobin (LHbA1c) or glycation indices. PATIENTS AND METHODS We enrolled 47 patients in HD, 23 with DM, obtaining samples for the determination of de AG, HbA1c y LHbA1c. Glycation indices, which allow estimated the HbA1c using glucose, AG or LHbA1c, were calculated including a control group composed of 75 diabetic patients without kidney disease. RESULTS Diabetic patients in HD had significantly higher mean values than patients without DM for glucose [160 (44) vs 96 (12)mg/dL], HbA1c [6,4 (1,0) vs 4,9 (0,3)%], AG [16,0 (5,1) vs 12,9 (1,6)%] and LHbA1c [2,0 (0,3) vs 1,7 (0,2)%]. HbA1c calculated using glycation indices was significantly higher than measured in all HD patients, regardless of the marker used for the estimation. CONCLUSIONS The glycemic markers evaluated (glucose, AG and LHbA1c), could reflect a possible underestimation of the real glycemic state by HbA1c because of the limitations of this marker in HD patients. The use of alternative markers, knowing their limitations, could improve the monitoring of patients on HD and, therefore, reduce the risk of developing DM2 complications.
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Affiliation(s)
- Andrés Folgueras García
- Servicio de Análisis Clínicos, Hospital Universitario San Agustín, Avilés. Asturias, España.
| | - Zoraida Corte Arboleya
- Servicio de Análisis Clínicos, Hospital Universitario San Agustín, Avilés. Asturias, España
| | - Rafael Venta Obaya
- Servicio de Análisis Clínicos, Hospital Universitario San Agustín, Avilés. Asturias, España; Departamento de Bioquímica y Biología Molecular, Universidad de Oviedo, Oviedo, Asturias, España
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12
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Williams ME, Steenkamp D, Wolpert H. Making sense of glucose sensors in end-stage kidney disease: A review. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:1025328. [PMID: 36992784 PMCID: PMC10012164 DOI: 10.3389/fcdhc.2022.1025328] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 10/27/2022] [Indexed: 12/23/2022]
Abstract
Diabetes mellitus remains the leading cause of end-stage kidney disease worldwide. Inadequate glucose monitoring has been identified as one of the gaps in care for hemodialysis patients with diabetes, and lack of reliable methods to assess glycemia has contributed to uncertainty regarding the benefit of glycemic control in these individuals. Hemoglobin A1c, the standard metric to evaluate glycemic control, is inaccurate in patients with kidney failure, and does not capture the full range of glucose values for patients with diabetes. Recent advances in continuous glucose monitoring have established this technology as the new gold standard for glucose management in diabetes. Glucose fluctuations are uniquely challenging in patients dependent on intermittent hemodialysis, and lead to clinically significant glycemic variability. This review evaluates continuous glucose monitoring technology, its validity in the setting of kidney failure, and interpretation of glucose monitoring results for the nephrologist. Continuous glucose monitoring targets for patients on dialysis have yet to be established. While continuous glucose monitoring provides a more complete picture of the glycemic profile than hemoglobin A1c and can mitigate high-risk hypoglycemia and hyperglycemia in the context of the hemodialysis procedure itself, whether the technology can improve clinical outcomes merits further investigation.
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Affiliation(s)
| | - Devin Steenkamp
- Section of Endocrinology, Diabetes, and Nutrition, Department of Medicine, Boston Medical Center, Boston, MA, United States
| | - Howard Wolpert
- Boston University School of Medicine, Boston, MA, United States
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Rossing P, Caramori ML, Chan JC, Heerspink HJ, Hurst C, Khunti K, Liew A, Michos ED, Navaneethan SD, Olowu WA, Sadusky T, Tandon N, Tuttle KR, Wanner C, Wilkens KG, Zoungas S, de Boer IH. KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease. Kidney Int 2022; 102:S1-S127. [PMID: 36272764 DOI: 10.1016/j.kint.2022.06.008] [Citation(s) in RCA: 491] [Impact Index Per Article: 163.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 02/07/2023]
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14
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Abe M, Matsuoka T, Kawamoto S, Miyasato K, Kobayashi H. Toward Revision of the ‘Best Practice for Diabetic Patients on Hemodialysis 2012’. KIDNEY AND DIALYSIS 2022; 2:495-511. [DOI: 10.3390/kidneydial2040045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Diabetic nephropathy is the leading cause of dialysis therapy worldwide. The number of diabetes patients on dialysis in clinical settings has been increasing in Japan. In 2013, the Japanese Society for Dialysis Therapy (JSDT) published the “Best Practice for Diabetic Patients on Hemodialysis 2012”. While glycated hemoglobin (HbA1c) is used mainly as a glycemic control index for dialysis patients overseas, Japan is the first country in the world to use glycated albumin (GA) for assessment. According to a survey conducted by the JSDT in 2018, the number of facilities measuring only HbA1c has decreased compared with 2013, while the number of facilities measuring GA or both has significantly increased. Ten years have passed since the publication of the first edition of the guidelines, and several clinical studies regarding the GA value and mortality of dialysis patients have been reported. In addition, novel antidiabetic agents have appeared, and continuous glucose monitoring of dialysis patients has been adopted. On the other hand, Japanese dialysis patients are rapidly aging, and the proportion of patients with malnutrition is increasing. Therefore, there is great variation among diabetes patients on dialysis with respect to their backgrounds and characteristics. This review covers the indices and targets of glycemic control, the treatment of hyperglycemia, and diet recommendations for dialysis patients with diabetes.
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Affiliation(s)
- Masanori Abe
- Division of Nephrology, Hypertension and Endocrinology, Department of Medicine, Nihon University School of Medicine, Tokyo 173-8610, Japan
| | - Tomomi Matsuoka
- Division of Nephrology, Hypertension and Endocrinology, Department of Medicine, Nihon University School of Medicine, Tokyo 173-8610, Japan
| | - Shunsuke Kawamoto
- Division of Nephrology, Hypertension and Endocrinology, Department of Medicine, Nihon University School of Medicine, Tokyo 173-8610, Japan
| | - Kota Miyasato
- Division of Nephrology, Hypertension and Endocrinology, Department of Medicine, Nihon University School of Medicine, Tokyo 173-8610, Japan
| | - Hiroki Kobayashi
- Division of Nephrology, Hypertension and Endocrinology, Department of Medicine, Nihon University School of Medicine, Tokyo 173-8610, Japan
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Alicic RZ, Neumiller JJ, Galindo RJ, Tuttle KR. Use of Glucose-Lowering Agents in Diabetes and CKD. Kidney Int Rep 2022; 7:2589-2607. [PMID: 36506243 PMCID: PMC9727535 DOI: 10.1016/j.ekir.2022.09.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 08/31/2022] [Accepted: 09/19/2022] [Indexed: 12/15/2022] Open
Abstract
Diabetes is the most common cause of kidney failure worldwide. Patients with diabetes and chronic kidney disease (CKD) are also at markedly higher risk of cardiovascular disease, particularly heart failure (HF), and death. Through the processes of gluconeogenesis and glucose reabsorption, the kidney plays a central role in glucose homeostasis. Insulin resistance is an early alteration observed in CKD, worsened by the frequent presence of hypertension, obesity, and ongoing chronic inflammation, and oxidative stress. Management of diabetes in moderate to severe CKD warrants special consideration because of changes in glucose and insulin homeostasis and altered metabolism of glucose-lowering therapies. Kidney failure and initiation of kidney replacement therapy by dialysis adds to management complexity by further limiting therapeutic options, and predisposing individuals to hypoglycemia and hyperglycemia. Glycemic goals should be individualized, considering CKD severity, presence of macrovascular and microvascular complications, and life expectancy. A general hemoglobin A1c (HbA1c) goal of approximately 7% may be appropriate in earlier stages of CKD, with more relaxed targets often appropriate in later stages. Use of sodium glucose cotransporter2 (SGLT2) inhibitors and glucagon like peptide-1 receptor agonists (GLP-1RAs) meaningfully improves kidney and heart outcomes for patients with diabetes and CKD, irrespective of HbA1c targets, and are now part of guideline-directed medical therapy in this high-risk population. Delivery of optimal care for patients with diabetes and CKD will require collaboration across health care specialties and disciplines.
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Affiliation(s)
- Radica Z. Alicic
- Providence Medical Research Center, Providence Health Care, Spokane, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Spokane and Seattle, Washington, USA
- Correspondence: Radica Z. Alicic, Providence Medical Research Center, 105 West 8th Avenue, Suite 250E, Spokane, Washington 99204, USA.
| | - Joshua J. Neumiller
- Providence Medical Research Center, Providence Health Care, Spokane, Washington, USA
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Rodolfo J. Galindo
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine
| | - Katherine R. Tuttle
- Providence Medical Research Center, Providence Health Care, Spokane, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Spokane and Seattle, Washington, USA
- Nephrology Division, Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Spokane and Seattle, Washington, USA
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Wallam S, Abusamaan MS, Clarke W, Mathioudakis N. Factors Associated With Discordant A1C-Estimated and Measured Average Glucose Among Hospitalized Patients With Diabetes. Clin Diabetes 2022; 41:208-219. [PMID: 37092143 PMCID: PMC10115769 DOI: 10.2337/cd22-0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
In this retrospective analysis, we explored the correlation between measured average glucose (mAG) and A1C-estimated average glucose (eAG) in hospitalized patients with diabetes and identified factors associated with discordant mAG and eAG at the transition from home to hospital. Having mAG lower than eAG was associated with Black race, other race, increasing length of stay, community hospital setting, surgery, fever, metformin use, certain inpatient diets, home antihyperglycemic treatment, and coded type 1 or type 2 diabetes. Having mAG higher than eAG was associated with certain discharge services (e.g., intensive care unit), higher BMI, hypertension, tachycardia, higher albumin, higher potassium, anemia, inpatient glucocorticoid use, and treatment with home insulin, secretagogues, and glucocorticoids. These factors should be considered when using patients' A1C as an indicator of outpatient glycemic control to determine the inpatient antihyperglycemic regimens.
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Affiliation(s)
- Sara Wallam
- Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Mohammed S. Abusamaan
- Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
| | - William Clarke
- Division of Clinical Chemistry, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nestoras Mathioudakis
- Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
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17
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Rescalli A, Varoni EM, Cellesi F, Cerveri P. Analytical Challenges in Diabetes Management: Towards Glycated Albumin Point-of-Care Detection. BIOSENSORS 2022; 12:bios12090687. [PMID: 36140073 PMCID: PMC9496022 DOI: 10.3390/bios12090687] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/20/2022] [Accepted: 08/23/2022] [Indexed: 11/16/2022]
Abstract
Diabetes mellitus is a worldwide-spread chronic metabolic disease that occurs when the pancreas fails to produce enough insulin levels or when the body fails to effectively use the secreted pancreatic insulin, eventually resulting in hyperglycemia. Systematic glycemic control is the only procedure at our disposal to prevent diabetes long-term complications such as cardiovascular disorders, kidney diseases, nephropathy, neuropathy, and retinopathy. Glycated albumin (GA) has recently gained more and more attention as a control biomarker thanks to its shorter lifespan and wider reliability compared to glycated hemoglobin (HbA1c), currently the “gold standard” for diabetes screening and monitoring in clinics. Various techniques such as ion exchange, liquid or affinity-based chromatography and immunoassay can be employed to accurately measure GA levels in serum samples; nevertheless, due to the cost of the lab equipment and complexity of the procedures, these methods are not commonly available at clinical sites and are not suitable to home monitoring. The present review describes the most up-to-date advances in the field of glycemic control biomarkers, exploring in particular the GA with a special focus on the recent experimental analysis techniques, using enzymatic and affinity methods. Finally, analysis steps and fundamental reading technologies are integrated into a processing pipeline, paving the way for future point-of-care testing (POCT). In this view, we highlight how this setup might be employed outside a laboratory environment to reduce the time from measurement to clinical decision, and to provide diabetic patients with a brand-new set of tools for glycemic self-monitoring.
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Affiliation(s)
- Andrea Rescalli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
- Correspondence: (A.R.); (E.M.V.)
| | - Elena Maria Varoni
- Department of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, 20122 Milan, Italy
- Correspondence: (A.R.); (E.M.V.)
| | - Francesco Cellesi
- Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Politecnico di Milano, 20133 Milan, Italy
| | - Pietro Cerveri
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
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Shimizu N, Ogawa A, Hayashi A, Shichiri M. Discordance in the reduction rate between glycated albumin and glycated hemoglobin levels in type 2 diabetes patients receiving SGLT2 inhibitors. J Diabetes Complications 2022; 36:108225. [PMID: 35690574 DOI: 10.1016/j.jdiacomp.2022.108225] [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: 11/07/2021] [Revised: 05/23/2022] [Accepted: 05/30/2022] [Indexed: 10/18/2022]
Abstract
AIMS Although the difference in HbA1c reduction between sodium-glucose cotransporter 2 (SGLT2) inhibitors and other oral glucose-lowering agents is relatively small, SGLT2 inhibitors exhibit beneficial cardiorenal protection. This study was based on the hypothesis that changes of HbA1c in patients treated with SGLT2 inhibitors may not accurately reflect an improved glycemic profile. METHODS Two studies were conducted: 1) a retrospective cohort study of 3039 patients administered with either an SGLT2 or a dipeptidyl peptidase-4 (DPP4) inhibitor for 12 months comparing the changes in glycated albumin (GA) and HbA1c levels and 2) a pilot study of 10 patients whose glycemic dynamics were evaluated using flash glucose monitoring at baseline and 2 months after treatment with an SGLT2 inhibitor. RESULTS SGLT2 inhibitors reduced GA more markedly than HbA1c in both studies. DPP4 inhibitors decreased both GA and HbA1c to a comparable degree. The mean glucose levels and glycemic standard deviation were significantly reduced after treatment with an SGLT2 inhibitor, in concordance with GA decline, although the lowering of HbA1c was marginal. CONCLUSIONS Changes in HbA1c levels underestimated the glucose-lowering effect and the diminished glycemic fluctuation induced by SGLT2 inhibitors. Thus, the distinct biomarker roles of GA and HbA1c should be reevaluated.
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Affiliation(s)
- Naoya Shimizu
- Department of Endocrinology, Diabetes and Metabolism, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0374, Japan
| | - Akifumi Ogawa
- Department of Endocrinology, Diabetes and Metabolism, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0374, Japan
| | - Akinori Hayashi
- Department of Endocrinology, Diabetes and Metabolism, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0374, Japan
| | - Masayoshi Shichiri
- Department of Endocrinology, Diabetes and Metabolism, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0374, Japan; Tokyo Kyosai Hospital, 2-3-8 Nakameguro, Meguro-ku, Tokyo 153-8934, Japan.
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19
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Kim H, Tang O, Rebholz CM, Grams ME, Coresh J, Christenson RH, Selvin E. Associations of Glycated Albumin and HbA1c with Chronic Kidney Disease in US Adults. J Appl Lab Med 2022; 7:842-853. [PMID: 35213712 PMCID: PMC9246894 DOI: 10.1093/jalm/jfac006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/03/2024]
Abstract
Abstract
Background
Glycated albumin may provide complementary information to hemoglobin A1c (HbA1c). We compared cross-sectional associations of HbA1c and glycated albumin with chronic kidney disease (CKD) in US adults.
Methods
We included 10 923 adults (9955 without diagnosed diabetes, 968 with a diabetes diagnosis) from the National Health and Nutrition Examination Survey 1999–2004. We examined continuous associations and clinical cut points for HbA1c among those without diabetes (<5.0%, 5.0%–5.6% (reference), 5.7%–6.4%, ≥6.5%) and among those with diagnosed diabetes (<7.0%, 7.0%–8.9%, ≥9.0%) and percentile equivalents for glycated albumin. We used logistic regression to compare associations with prevalent CKD, adjusting for traditional risk factors. We used likelihood ratio tests to assess whether adding glycated albumin improved the model with HbA1c.
Results
There were J-shaped associations for both glycated albumin and HbA1c with CKD. Persons without a history of diabetes and very low glycated albumin or HbA1c were more likely to have CKD compared to those without diabetes and normoglycemia. The odds ratios (ORs) for CKD were 1.32 (95% CI, 1.12–1.55) for HbA1c 5.7% to 6.4% and 2.04 (95% CI, 1.28–3.25) for HbA1c ≥6.5%. The ORs for glycated albumin were 1.27 (95% CI, 1.06–1.51) and 2.48 (95% CI, 1.50–4.08) for glycated albumin 14.4% to 17.8% and ≥17.9%, respectively. The inclusion of glycated albumin in the model with HbA1c and traditional risk factors modestly but significantly improved the model fit (P value = 0.006).
Conclusions
Glycated albumin and HbA1c were similarly associated with prevalent CKD. Glycated albumin provides complementary information to HbA1c for prevalent CKD.
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Affiliation(s)
- Hyunju Kim
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University , Baltimore, MD , USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA
| | - Olive Tang
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University , Baltimore, MD , USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA
| | - Casey M Rebholz
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University , Baltimore, MD , USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA
| | - Morgan E Grams
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University , Baltimore, MD , USA
| | - Josef Coresh
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University , Baltimore, MD , USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA
| | - Robert H Christenson
- Department of Pathology, University of Maryland School of Medicine , Baltimore, MD , USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University , Baltimore, MD , USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA
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20
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Continuous Glucose Monitoring metrics in the Assessment of Glycemia in Moderate-to-Advanced Chronic Kidney Disease (CKD) in Diabetes. Kidney Int Rep 2022; 7:1354-1363. [PMID: 35685309 PMCID: PMC9171696 DOI: 10.1016/j.ekir.2022.03.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/20/2022] [Accepted: 03/28/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction Glycated hemoglobin A1c (HbA1c) has reduced reliability in advanced chronic kidney disease (CKD) owing to factors influencing red cell turnover. Recent guidelines support the use of continuous glucose monitoring (CGM) in glycemic assessment in these patients. We evaluated relationships between HbA1c and CGM metrics of average glycemia and glucose variability (GV) in moderate-to-advanced CKD. Methods There were a total of 90 patients with diabetes in CKD stages G3b (n = 33), G4 (n = 43), and G5 (nondialysis) (n = 14) (age [mean ± SD] 65.4 ± 9.0 years, estimated glomerular filtration rate [eGFR] 26.1 ± 9.6 ml/min per 1.73 m2, and HbA1c 7.4 ± 0.8%). CGM metrics were estimated from blinded CGM (Medtronic Ipro2 with Enlite sensor) and compared with HbA1c in the same week. Results Correlations between glucose management indicator (GMI) and HbA1c attenuated with advancing CKD (G3b [r = 0.68, P < 0.0001], G4 [r = 0.52, P < 0.001], G5 [r = 0.22, P = 0.44], P = 0.01 for CKD stage). In G3b and G4, HbA1c correlated significantly with time-in-range (TIR) (3.9–10.0 mmol/l) (r = −0.55 and r = −0.54, respectively) and % time > 13.9 mmol/l (r = 0.53 and r = 0.44, respectively), but not in G5. HbA1c showed no correlation with % time <3.0 mmol/l (r = −0.045, P = 0.67) or % coefficient of variation (CV) (r = −0.05, P = 0.64) in any CKD stage. Only eGFR was a significant determinant of bias for the difference between GMI and HbA1c (difference −0.28%, 95% CI [−0.52 to −0.03] per 15 ml/min per 1.73 m2 decrement, P = 0.03). Conclusion CGM-derived indices might serve as an adjunct to HbA1c monitoring to guide glycemic management, especially in those with eGFR <30 ml/min per 1.73 m2. Time in hypoglycemia and glycemic variability are relevant glycemic targets for optimization not reflected by HbA1c.
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Cavallari G, Mancini E. The Nephrologist's Role in the Collaborative Multi-Specialist Network Taking Care of Patients with Diabetes on Maintenance Hemodialysis: An Overview. J Clin Med 2022; 11:jcm11061521. [PMID: 35329847 PMCID: PMC8949004 DOI: 10.3390/jcm11061521] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/28/2022] [Accepted: 03/02/2022] [Indexed: 12/22/2022] Open
Abstract
Diabetes mellitus is the leading cause of renal failure in incident dialysis patients in several countries around the world. The quality of life for patients with diabetes in maintenance hemodialysis (HD) treatment is in general poor due to disease complications. Nephrologists have to cope with all these problems because of the “total care model” and strive to improve their patients’ outcome. In this review, an updated overview of the aspects the nephrologist must face in the management of these patients is reported. The conventional marker of glycemic control, hemoglobin A1c (HbA1c), is unreliable. HD itself may be responsible for dangerous hypoglycemic events. New methods of glucose control could be used even during dialysis, such as a continuous glucose monitoring (CGM) device. The pharmacological control of diabetes is another complex topic. Because of the risk of hypoglycemia, insulin and other medications used to treat diabetes may need dose adjustment. The new class of antidiabetic drugs dipeptidyl peptidase 4 (DPP-4) inhibitors can safely be used in non-insulin-dependent end-stage renal disease (ESRD) patients. Nephrologists should take care to improve the hemodynamic tolerance to HD treatment, frequently compromised by the high level of ultrafiltration needed to counter high interdialytic weight gain. Kidney and pancreas transplantation, in selected patients with diabetes, is the best therapy and is the only approach able to free patients from both dialysis and insulin therapy.
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22
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Muraoka MY, Justino AB, Caixeta DC, Queiroz JS, Sabino-Silva R, Salmen Espindola F. Fructose and methylglyoxal-induced glycation alters structural and functional properties of salivary proteins, albumin and lysozyme. PLoS One 2022; 17:e0262369. [PMID: 35061788 PMCID: PMC8782344 DOI: 10.1371/journal.pone.0262369] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 12/21/2021] [Indexed: 01/08/2023] Open
Abstract
Glycation process refers to reactions between reduction sugars and amino acids that can lead to formation of advanced glycation end products (AGEs) which are related to changes in chemical and functional properties of biological structures that accumulate during aging and diseases. The aim of this study was to perform and analyze in vitro glycation by fructose and methylglyoxal (MGO) using salivary fluid, albumin, lysozyme, and salivary α-amylase (sAA). Glycation effect was analyzed by biochemical and spectroscopic methods. The results were obtained by fluorescence analysis, infrared spectroscopy (total attenuated reflection-Fourier transform, ATR-FTIR) followed by multivariate analysis of principal components (PCA), protein profile, immunodetection, enzymatic activity and oxidative damage to proteins. Fluorescence increased in all glycated samples, except in saliva with fructose. The ATR-FTIR spectra and PCA analysis showed structural changes related to the vibrational mode of glycation of albumin, lysozyme, and salivary proteins. Glycation increased the relative molecular mass (Mr) in protein profile of albumin and lysozyme. Saliva showed a decrease in band intensity when glycated. The analysis of sAA immunoblotting indicated a relative reduction in intensity of its correspondent Mr after sAA glycation; and a decrease in its enzymatic activity was observed. Carbonylation levels increased in all glycated samples, except for saliva with fructose. Thiol content decreased only for glycated lysozyme and saliva with MGO. Therefore, glycation of salivary fluid and sAA may have the potential to identify products derived by glycation process. This opens perspectives for further studies on the use of saliva, an easy and non-invasive collection fluid, to monitor glycated proteins in the aging process and evolution of diseases.
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Affiliation(s)
- Mariane Yumiko Muraoka
- Biochemistry and Molecular Biology Laboratory, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Allisson Benatti Justino
- Biochemistry and Molecular Biology Laboratory, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Douglas Carvalho Caixeta
- Biochemistry and Molecular Biology Laboratory, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
- Innovation Center in Salivary Diagnostic and Nanotheranostics, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Julia Silveira Queiroz
- Biochemistry and Molecular Biology Laboratory, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Robinson Sabino-Silva
- Innovation Center in Salivary Diagnostic and Nanotheranostics, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Foued Salmen Espindola
- Biochemistry and Molecular Biology Laboratory, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
- * E-mail:
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23
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Bomholt T, Rix M, Almdal T, Knop FK, Rosthøj S, Heinrich NS, Jørgensen MB, Larsson A, Hilsted L, Feldt-Rasmussen B, Hornum M. The Accuracy of Hemoglobin A1c and Fructosamine Evaluated by Long-Term Continuous Glucose Monitoring in Patients with Type 2 Diabetes Undergoing Hemodialysis. Blood Purif 2021; 51:608-616. [PMID: 34583354 DOI: 10.1159/000519050] [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: 03/25/2021] [Accepted: 08/14/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION The accuracy of hemoglobin A1c (HbA1c) as a glycemic marker in patients with type 2 diabetes (T2D) receiving hemodialysis (HD) remains unknown. To assess accuracy, we compared HbA1c and fructosamine levels with interstitial glucose measured by continuous glucose monitoring (CGM) in patients with T2D receiving HD. METHODS Thirty patients in the HD group and 36 patients in the control group (T2D and an estimated glomerular filtration rate >60 mL/min/1.73 m2) completed the study period of 17 weeks. CGM (Ipro2®, Medtronic) was performed 5 times for periods of up to 7 days (with 4-week intervals) during a 16-week period. HbA1c (mmol/mol), the estimated mean plasma glucose from HbA1c (eMPGA1c [mmol/L]) and fructosamine (μmol/L) was measured at week 17 and compared with mean sensor glucose levels from CGM. FINDINGS In the HD group, mean sensor glucose was 1.4 mmol/L (95% confidence interval [CI]: 1.0-1.8) higher than the eMPGA1c, whereas the difference for controls was 0.1 mmol/L (95% CI: -0.1-[0.4]; p < 0.001). Adjusted for mean sensor glucose, HbA1c was lower in the HD group (-7.3 mmol/mol, 95% CI: -10.0-[-4.7]) than in the control group (p < 0.001), with no difference detected for fructosamine (p = 0.64). DISCUSSION HbA1c evaluated by CGM underestimates plasma glucose levels in patients receiving HD. The underestimation represents a clinical challenge in optimizing glycemic control in the HD population. Fructosamine is unaffected by the factors affecting HbA1c and appears to be more accurate for glycemic monitoring. CGM or fructosamine could thus complement HbA1c in obtaining more accurate glycemic control in this patient group.
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Affiliation(s)
- Tobias Bomholt
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Marianne Rix
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Almdal
- Department of Endocrinology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Filip K Knop
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Susanne Rosthøj
- Section of Biostatistics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Morten B Jørgensen
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Anders Larsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Linda Hilsted
- Department of Clinical Biochemistry Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bo Feldt-Rasmussen
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mads Hornum
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Phillips J, Chen JHC, Ooi E, Prunster J, Lim WH. Global Epidemiology, Health Outcomes, and Treatment Options for Patients With Type 2 Diabetes and Kidney Failure. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2021; 2:731574. [PMID: 36994340 PMCID: PMC10012134 DOI: 10.3389/fcdhc.2021.731574] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 07/29/2021] [Indexed: 12/15/2022]
Abstract
The burden of type 2 diabetes and related complications has steadily increased over the last few decades and is one of the foremost global public health threats in the 21st century. Diabetes is one of the leading causes of chronic kidney disease and kidney failure and is an important contributor to the cardiovascular morbidity and mortality in this population. In addition, up to one in three patients who have received kidney transplants develop post-transplant diabetes, but the management of this common complication continues to pose a significant challenge for clinicians. In this review, we will describe the global prevalence and temporal trend of kidney failure attributed to diabetes mellitus in both developing and developed countries. We will examine the survival differences between treated kidney failure patients with and without type 2 diabetes, focusing on the survival differences in those on maintenance dialysis or have received kidney transplants. With the increased availability of novel hypoglycemic agents, we will address the potential impacts of these novel agents in patients with diabetes and kidney failure and in those who have developed post-transplant diabetes.
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Affiliation(s)
- Jessica Phillips
- Department of Renal Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
- *Correspondence: Jessica Phillips,
| | - Jenny H. C. Chen
- School of Medicine, University of Wollongong, Wollongong, NSW, Australia
- Depatment of Nephrology, Wollongong Hospital, Wollongong, NSW, Australia
| | - Esther Ooi
- School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia
| | - Janelle Prunster
- Department of Renal Medicine, Cairns Hospital, Cairns, QLD, Australia
| | - Wai H. Lim
- Department of Renal Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
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25
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Nishad R, Tahaseen V, Kavvuri R, Motrapu M, Singh AK, Peddi K, Pasupulati AK. Advanced-Glycation End-Products Induce Podocyte Injury and Contribute to Proteinuria. Front Med (Lausanne) 2021; 8:685447. [PMID: 34277660 PMCID: PMC8280521 DOI: 10.3389/fmed.2021.685447] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 05/26/2021] [Indexed: 01/02/2023] Open
Abstract
The prevalence of diabetes reaches epidemic proportions. Diabetes is the leading cause of end-stage kidney disease (ESKD) since 30–40% of diabetic patients develop diabetic nephropathy. Albuminuria and glomerular filtration rate used to assess kidney function are considered surrogate outcomes of chronic kidney disease. The search for a biomarker that predicts progression to diabetic kidney disease is intense. We analyzed the association of serum advanced glycation end-products (AGEs) index (AGI) with impaired kidney function in poorly controlled type II diabetic patients. We observed an association between AGI and impaired kidney function in microalbuminuria patients with hyperglycemia. A significant association between AGEs, particularly carboxymethyl lysine (CML), and impaired kidney function were observed. Administration of AGEs to mice showed heavy proteinuria and glomerular abnormalities. Reduced podocyte number in mice administered with AGEs could be attributed to the epithelial-mesenchymal transition of podocytes. Our study suggests CML could be independently related to the podocyte injury and the risk of DN progression to ESKD in patients with microalbuminuria. AGEs in general or CML could be considered a prognostic marker to assess diabetic kidney disease.
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Affiliation(s)
- Rajkishor Nishad
- Department of Biochemistry, University of Hyderabad, Hyderabad, India
| | - Vazeeha Tahaseen
- Department of Biochemistry, Acharya Nagarjuna University, Guntur, India
| | - Rajesh Kavvuri
- Department of Biochemistry, University of Hyderabad, Hyderabad, India
| | - Manga Motrapu
- Department of Biochemistry, University of Hyderabad, Hyderabad, India
| | - Ashish K Singh
- Department of Biochemistry, University of Hyderabad, Hyderabad, India
| | - Kiranmayi Peddi
- Department of Biochemistry, Acharya Nagarjuna University, Guntur, India
| | - Anil K Pasupulati
- Department of Biochemistry, University of Hyderabad, Hyderabad, India
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26
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Ferrario L, Schettini F, Avogaro A, Bellia C, Bertuzzi F, Bonetti G, Ceriello A, Ciaccio M, Corsi Romanelli M, Dozio E, Falqui L, Girelli A, Nicolucci A, Perseghin G, Plebani M, Valentini U, Zaninotto M, Castaldi S, Foglia E. Glycated Albumin for Glycemic Control in T2DM Population: A Multi-Dimensional Evaluation. CLINICOECONOMICS AND OUTCOMES RESEARCH 2021; 13:453-464. [PMID: 34079308 PMCID: PMC8166313 DOI: 10.2147/ceor.s304868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 04/23/2021] [Indexed: 12/16/2022] Open
Abstract
Purpose To investigate the glycated albumin (GA) introduction implications, as an add-on strategy to traditional glycemic control (Hb1Ac and fasting plasma glucose – FPG) instruments, considering insulin-naïve individuals with type 2 diabetes mellitus (T2DM), treated with oral therapies. Methods A Health Technology Assessment was conducted in Italy, as a multi-dimensional approach useful to validate any innovative technology. The HTA dimensions, derived from the EUnetHTA Core Model, were deployed by means of literature evidence, health economics tools and qualitative questionnaires, filled-in by 15 professionals. Results Literature stated that the GA introduction could lead to a higher number of individuals achieving therapeutic success after 3 months of therapy (97.0% vs 71.6% without GA). From an economic point of view, considering a projection of 1,955,447 T2DM insulin-naïve individuals, potentially treated with oral therapy, GA introduction would imply fewer individuals requiring a therapy switch (−89.44%), with a 1.06% in costs reduction, on annual basis, thus being also the preferable solution from a cost-effectiveness perspective (cost-effectiveness value: 237.74 vs 325.53). According to experts opinions, lower perceptions on GA emerged with regard to equity aspects (0.13 vs 0.72, p-value>0.05), whereas it would improve both individuals (2.17 vs 1.33, p-value=0.000) and caregivers quality of life (1.50 vs 0.83, p-value=0.000). Even if in the short term, GA required additional investments in training courses (−0.80 vs 0.10, p-value = 0.036), in the long run, GA could become the preferable technology (0.30 vs 0.01, p-value=0.018) from an organisational perspective. Conclusion Adding GA to traditional glycaemic control instruments could improve the clinical pathway of individuals with T2DM, leading to economic and organisational advantages for both hospitals and National Healthcare Systems.
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Affiliation(s)
- Lucrezia Ferrario
- Centre for Health Economics, Social and Health Care Management, Università Carlo Cattaneo - LIUC, Castellanza, Italy
| | - Fabrizio Schettini
- Centre for Health Economics, Social and Health Care Management, Università Carlo Cattaneo - LIUC, Castellanza, Italy
| | - Angelo Avogaro
- Department of Medicine, University-Hospital of Padova, Padova, Italy
| | - Chiara Bellia
- Section of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Palermo, Italy
| | - Federico Bertuzzi
- Diabetology Unit, Grande Ospedale Metropolitano Niguarda Hospital, Milan, Italy
| | | | - Antonio Ceriello
- Department of Cardiovascular and Metabolic Diseases, Multimedica Research Institute, Milan, Italy
| | - Marcello Ciaccio
- Section of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University-Hospital of Palermo, Palermo, Italy
| | - Massimiliano Corsi Romanelli
- Service of Laboratory Medicine 1-Clinical Pathology, Policlinico San Donato, Milan, Italy.,Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Elena Dozio
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Luca Falqui
- Department of Medicine, Diabetes and Endocrinology, Multimedica Research Institute, Milan, Italy
| | - Angela Girelli
- Diabetes Care Unit, Spedali Civili Hospital, Brescia, Italy
| | - Antonio Nicolucci
- Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy
| | - Gianluca Perseghin
- Department of Medicine and Surgery, Università degli Studi di Milano Bicocca, Milan, Italy.,Department of Medicine and Rehabilitation, Unit of Metabolic Medicine, Policlinico di Monza, Monza, Italy
| | - Mario Plebani
- Department of Laboratory Medicine, University-Hospital of Padova, Padova, Italy
| | | | - Martina Zaninotto
- Department of Laboratory Medicine, University-Hospital of Padova, Padova, Italy
| | - Silvana Castaldi
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.,Fondazione Ca' Granda Ospedale Maggiore Policlinico Research Institute of Milano, Milano, Italy
| | - Emanuela Foglia
- Centre for Health Economics, Social and Health Care Management, Università Carlo Cattaneo - LIUC, Castellanza, Italy
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27
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Comparative study on hemoglobin A1c, glycated albumin and glycosylated serum protein in aplastic anemia patients with Type 2 diabetes mellitus. Biosci Rep 2021; 40:223095. [PMID: 32352504 PMCID: PMC7244899 DOI: 10.1042/bsr20192300] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 03/10/2020] [Accepted: 03/18/2020] [Indexed: 12/20/2022] Open
Abstract
Objective: To differentiate the value of hemoglobin A1c (HbA1c), glycated albumin (GA) and glycosylated serum protein (GSP) in monitoring blood glucose of patients with aplastic anemia. Methods: 42 patients with aplastic anemia (AA) and 30 patients with AA and Type 2 diabetes mellitus (T2DM) were enrolled in the study, in comparison with 114 healthy subjects and 88 subjects with T2DM. HbA1c, GA, GSP, fasting plasma glucose (FPG), hemoglobin (Hb) and albumin (ALB) were measured, and group comparison and correlation analysis were carried out. Results: Compared with the non-diabetes patients while ALB were <30 g/l or 30–40 g/l, the HbA1c and GSP values in AA, T2DM and AA+T2DM patients were significantly higher while the GA values were lower. Moreover, no differences in FPG levels. The AA+T2DM patients with ALB >40 g/l had higher HbA1c level, with no difference in GA, GSP and FPG levels. There was a positive correlation between HbA1c and GA in healthy group (ALB ≥ 40 g/l), AA patients (ALB 30–40 g/l and ≥40 g/l), T2DM patients (ALB 30–40 g/l and ≥40 g/l) and AA+T2DM patients (ALB 30–40 g/l and ≥40 g/l) but not in those with ALB < 30 g/l. Conclusion: The HbA1c results were affected by moderate-to-severe anemia, but not mild anemia. HbA1c is not recommended to detect blood glucose levels in AA patients (Hb < 90 g/l) or AA patients (ALB < 30 g/l). FPG and GSP are not suitable for AA patients.
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28
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Waiwinya W, Putnin T, Pimalai D, Chawjiraphan W, Sathirapongsasuti N, Japrung D. Immobilization-Free Electrochemical Sensor Coupled with a Graphene-Oxide-Based Aptasensor for Glycated Albumin Detection. BIOSENSORS-BASEL 2021; 11:bios11030085. [PMID: 33802824 PMCID: PMC8002523 DOI: 10.3390/bios11030085] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/05/2021] [Accepted: 03/10/2021] [Indexed: 01/03/2023]
Abstract
An immobilization-free electrochemical sensor coupled with a graphene oxide (GO)-based aptasensor was developed for glycated human serum albumin (GHSA) detection. The concentration of GHSA was monitored by measuring the electrochemical response of free GO and aptamer-bound GO in the presence of glycated albumin; their currents served as the analytical signals. The electrochemical aptasensor exhibited good performance with a base-10 logarithmic scale. The calibration curve was achieved in the range of 0.01-50 µg/mL. The limit of detection (LOD) was 8.70 ng/mL. The developed method was considered a one-drop measurement process because a fabrication step and the probe-immobilization process were not required. This simple sensor offers a cost-effective, rapid, and sensitive detection method, and could be an alternative approach for determination of GHSA levels.
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Affiliation(s)
- Wassa Waiwinya
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park, Pathumthani 12120, Thailand; (W.W.); (T.P.); (D.P.); (W.C.)
| | - Thitirat Putnin
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park, Pathumthani 12120, Thailand; (W.W.); (T.P.); (D.P.); (W.C.)
| | - Dechnarong Pimalai
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park, Pathumthani 12120, Thailand; (W.W.); (T.P.); (D.P.); (W.C.)
| | - Wireeya Chawjiraphan
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park, Pathumthani 12120, Thailand; (W.W.); (T.P.); (D.P.); (W.C.)
| | - Nuankanya Sathirapongsasuti
- Section of Translational Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand;
| | - Deanpen Japrung
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park, Pathumthani 12120, Thailand; (W.W.); (T.P.); (D.P.); (W.C.)
- Correspondence: ; Tel.: +66-2564-6665
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29
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Guthoff M, Merker L. Therapie des Diabetes bei chronischer Niereninsuffizienz. DIABETOL STOFFWECHS 2021. [DOI: 10.1055/a-1156-9957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Bomholt T, Oturai P, Rix M, Almdal T, Knop FK, Rosthøj S, Feldt-Rasmussen B, Hornum M. Reduced erythrocyte lifespan measured by chromium-51 in patients with type 2 diabetes undergoing long-term hemodialysis. Hemodial Int 2020; 25:198-204. [PMID: 33274575 DOI: 10.1111/hdi.12908] [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: 06/05/2020] [Revised: 11/10/2020] [Accepted: 11/23/2020] [Indexed: 11/27/2022]
Abstract
INTRODUCTION A reduced erythrocyte lifespan potentially explains the low hemoglobin A1c values found in hemodialysis patients. However, data supporting this notion in patients with type 2 diabetes is unclear. We evaluated the erythrocyte lifespan in patients with type 2 diabetes undergoing long-term hemodialysis and investigated potential predictors of erythrocyte lifespan. METHODS Long-term hemodialysis patients with type 2 diabetes and type 2 diabetes patients without nephropathy (estimated glomerular filtration rate > 60 mL/min/1.73 m2 ) were included. The erythrocyte lifespan was measured using chromium-51 (51 Cr)-labeled erythrocytes. Blood radiotracer activity was measured six to nine times over a period of 3-5 weeks to determine the erythrocyte lifespan of each patient. Biochemical markers were obtained five times over 16 weeks and associated with the erythrocyte lifespan. FINDINGS Type 2 diabetes patients undergoing hemodialysis (N = 13) had a significantly shorter median erythrocyte lifespan of 49.7 (interquartile range [IQR] = 44.1-58.6) days compared with 64.2 (IQR = 62.6-83.5) days in the control group (N = 10) (P ˂ 0.001) with a difference between medians of 14.5 (95% confidence interval = 8.1-38.8) days. In the hemodialysis group, no association could be detected between the erythrocyte lifespan and markers of hemolysis, level of inflammation, or urea. DISCUSSION A reduced erythrocyte lifespan was detected in type 2 diabetes patients undergoing long-term hemodialysis. This may contribute to the reduced hemoglobin A1c values observed in the type 2 diabetic hemodialysis population. An association could not be detected between the erythrocyte lifespan and biochemical markers of hemolysis or inflammation.
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Affiliation(s)
- Tobias Bomholt
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Peter Oturai
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Marianne Rix
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Almdal
- Department of Endocrinology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Filip K Knop
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Susanne Rosthøj
- Section of Biostatistics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bo Feldt-Rasmussen
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mads Hornum
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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31
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Bomholt T, Adrian T, Nørgaard K, Ranjan AG, Almdal T, Larsson A, Vadstrup M, Rix M, Feldt-Rasmussen B, Hornum M. The Use of HbA1c, Glycated Albumin and Continuous Glucose Monitoring to Assess Glucose Control in the Chronic Kidney Disease Population Including Dialysis. Nephron Clin Pract 2020; 145:14-19. [PMID: 33264783 DOI: 10.1159/000511614] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 09/15/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Glycated haemoglobin A1c (HbA1c) has limitations as a glycemic marker for patients with diabetes and CKD and for those receiving dialysis. Glycated albumin is an alternative glycemic marker, and some studies have found that glycated albumin more accurately reflects glycemic control than HbA1c in these groups. However, several factors are known to influence the value of glycated albumin including proteinuria. Continuous glucose monitoring (CGM) is another alternative to HbA1c. CGM allows one to assess mean glucose, glucose variability, and the time spent in hypo-, normo-, and hyperglycemia. Currently, several different CGM models are approved for use in patients receiving dialysis; CKD (not on dialysis) is not a contraindication in any of these models. Some devices are for blind recording, while others provide real-time data to patients. Small studies suggest that CGM could improve glycemic control in hemodialysis patients, but this has not been studied for individual CKD stages. SUMMARY Glycated albumin and CGM avoid the pitfalls of HbA1c in CKD and dialysis populations. However, the value of glycated albumin may be affected by several factors. CGM provides a precise estimation of the mean glucose. Here, we discuss the strengths and limitations for using HbA1c, glycated albumin, or CGM in CKD and dialysis population. Key Messages: Glycated albumin is an alternative glycemic marker but is affected by proteinuria. CGM provides a precise estimation of mean glucose and glucose variability. It remains unclear if CGM improves glycemic control in the CKD and dialysis populations.
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Affiliation(s)
- Tobias Bomholt
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark,
| | - Therese Adrian
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - Ajenthen G Ranjan
- Steno Diabetes Center Copenhagen, University of Copenhagen, Copenhagen, Denmark.,Danish Diabetes Academy, Odense, Denmark
| | - Thomas Almdal
- Department of Endocrinology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Anders Larsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Mette Vadstrup
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Marianne Rix
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bo Feldt-Rasmussen
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mads Hornum
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Copur S, Onal EM, Afsar B, Ortiz A, van Raalte DH, Cherney DZ, Rossing P, Kanbay M. Diabetes mellitus in chronic kidney disease: Biomarkers beyond HbA1c to estimate glycemic control and diabetes-dependent morbidity and mortality. J Diabetes Complications 2020; 34:107707. [PMID: 32861562 DOI: 10.1016/j.jdiacomp.2020.107707] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/07/2020] [Accepted: 08/08/2020] [Indexed: 12/13/2022]
Abstract
Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD). Optimal glycemic control contributes to improved outcomes in patients with DM, particularly for microvascular damage, but blood glucose levels are too variable to provide an accurate assessment and instead markers averaging long-term glycemic load are used. The most established glycemic biomarker of long-term glycemic control is HbA1c. Nevertheless, HbA1c has pitfalls that limit its accuracy to estimate glycemic control, including the presence of altered red blood cell survival, hemoglobin glycation and suboptimal performance of HbA1c assays. Alternative methods to evaluate glycemic control in patients with DM include glycated albumin, fructosamine, 1-5 anhydroglucitol, continuous glucose measurement, self-monitoring of blood glucose and random blood glucose concentration measurements. Accordingly, our aim was to review the advantages and pitfalls of these methods in the context of CKD.
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Affiliation(s)
- Sidar Copur
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Emine M Onal
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Baris Afsar
- Department of Medicine, Division of Nephrology, Suleyman Demirel University School of Medicine, Isparta, Turkey
| | - Alberto Ortiz
- Dialysis Unit, School of Medicine, IIS-Fundacion Jimenez Diaz, Universidad Autónoma de Madrid, Avd. Reyes Católicos 2, 28040 Madrid, Spain
| | - Daniel H van Raalte
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, location VUMC, Amsterdam, the Netherlands
| | - David Z Cherney
- Toronto General Hospital Research Institute, UHN, Toronto, Canada; Departments of Physiology and Pharmacology and Toxicology, University of Toronto, Ontario, Canada
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark; University of Copenhagen, Copenhagen, Denmark
| | - Mehmet Kanbay
- Department of Medicine, Division of Nephrology, Koc University School of Medicine, Istanbul, Turkey.
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de Boer IH, Caramori ML, Chan JC, Heerspink HJ, Hurst C, Khunti K, Liew A, Michos ED, Navaneethan SD, Olowu WA, Sadusky T, Tandon N, Tuttle KR, Wanner C, Wilkens KG, Zoungas S, Rossing P. KDIGO 2020 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease. Kidney Int 2020; 98:S1-S115. [PMID: 32998798 DOI: 10.1016/j.kint.2020.06.019] [Citation(s) in RCA: 650] [Impact Index Per Article: 130.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 06/25/2020] [Indexed: 12/13/2022]
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Zelnick LR, Batacchi ZO, Ahmad I, Dighe A, Little RR, Trence DL, Hirsch IB, de Boer IH. Continuous Glucose Monitoring and Use of Alternative Markers To Assess Glycemia in Chronic Kidney Disease. Diabetes Care 2020; 43:2379-2387. [PMID: 32788282 PMCID: PMC7510019 DOI: 10.2337/dc20-0915] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 07/09/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA1c. We evaluated the accuracy, variability, and covariate bias of three biomarkers (HbA1c, glycated albumin, and fructosamine) compared with continuous glucose monitoring (CGM)-derived measurement of glycemia across estimated glomerular filtration rate (eGFR) in type 2 diabetes. RESEARCH DESIGN AND METHODS A prospective cohort study was conducted of 104 participants with type 2 diabetes, 80 with eGFR <60 mL/min/1.73 m2 (not treated with dialysis) and 24 frequency-matched control subjects with eGFR ≥60 mL/min/1.73 m2. Participants wore a blinded CGM for two 6-day periods separated by 2 weeks, with blood and urine collected at the end of each CGM period. HbA1c, glycated albumin, and fructosamine were measured by high-performance liquid chromatographic, enzymatic, and colorimetric nitroblue tetrazolium methods, respectively. RESULTS Within-person biomarker values were strongly correlated between the two CGM periods (r = 0.92-0.95), although no marker fully captured the within-person variability of mean CGM glucose. All markers were similarly correlated with mean CGM glucose (r = 0.71-77). Compared with mean CGM glucose, glycated albumin and fructosamine were significantly biased by age, BMI, serum iron concentration, transferrin saturation, and albuminuria; HbA1c was underestimated in those with albuminuria. CONCLUSIONS Glycated albumin and fructosamine were not less variable than HbA1c at a given mean CGM glucose level, with several additional sources of bias. These results support measuring HbA1c to monitor trends in glycemia among patients with eGFR <60 mL/min/1.73 m2. Direct measurements of glucose are necessary to capture short-term variability.
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Affiliation(s)
- Leila R Zelnick
- Kidney Research Institute, University of Washington, Seattle, WA .,Division of Nephrology, University of Washington, Seattle, WA
| | | | - Iram Ahmad
- Division of Endocrinology, Banner-MD Anderson Cancer Center, Gilbert, AZ.,University of Arizona College of Medicine-Phoenix, Phoenix, AZ
| | - Ashveena Dighe
- Kidney Research Institute, University of Washington, Seattle, WA
| | - Randie R Little
- Department of Pathology and Anatomical Sciences, University of Missouri, Columbia, MO
| | - Dace L Trence
- Division of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, WA
| | - Irl B Hirsch
- Division of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, WA
| | - Ian H de Boer
- Kidney Research Institute, University of Washington, Seattle, WA.,Division of Nephrology, University of Washington, Seattle, WA.,Puget Sound Veterans Affairs Health Care System, Seattle, WA
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Terranella SL, Poirier J, Chan EY, Hertl M, Olaitan OK. Should Pre-Transplant Hemoglobin A1c Be Used to Predict Post-Transplant Compliance in End-Stage Renal Disease Patients Undergoing Kidney Transplantation? Ann Transplant 2020; 25:e924061. [PMID: 32587234 PMCID: PMC7339972 DOI: 10.12659/aot.924061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Background Patient compliance with immunosuppressive therapy after transplant has impacts on both graft and patient outcomes. For diabetic end-stage renal disease (ESRD) patients who are undergoing evaluation for kidney transplantation in our program, hemoglobin A1c (HbA1c) level of >10% is used as a flag that the patient may be at risk for noncompliance and that more comprehensive psychosocial screening is needed prior to transplant. We evaluated the association between pre-transplant HbA1c level and post-transplant compliance, as no study to date has looked at this in the transplant population. Material/Methods The charts of 392 patients who received a kidney transplant at a single institution between July 2008 and June 2012 were retrospectively reviewed. One hundred and sixty-five diabetic patients who received a kidney transplant alone were included in the final analysis. Our predictive variable was HbA1c level greater than 7.7% based on previous reports in the diabetic population. Outcome measures were graft survival, rejection episodes, unexplained low immunosuppressant levels, and documented noncompliance. Results There were no statistically significant differences between the HbA1c groups of ≤7.7% and >7.7% in outcomes of failed grafts (22.0% and 17.8%, p=0.2), rejection episodes (15.0% and 6.7%, p=0.3), unexplained low immunosuppressant level (46.6% and 37.9%, p=0.3), and documented noncompliance (25.0% and 16.7%, p=0.4). Conclusions In diabetic ESRD patients selected for renal transplantation, elevated pre-transplant HbA1c levels, defined as HbA1c >7.7%, are not predictive of post-transplant medication compliance. We advocate that this group of patients should not be denied transplant solely on their elevated pre-transplant HbA1c.
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Affiliation(s)
| | - Jennifer Poirier
- Department of Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Edie Y Chan
- Department of Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Martin Hertl
- Department of Surgery, Rush University Medical Center, Chicago, IL, USA
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Ushigome E, Matsusaki S, Watanabe N, Hashimoto T, Nakamura N, Fukui M. Critical discrepancy in blood glucose control levels evaluated by glycated albumin and estimated hemoglobin A1c levels determined from a flash continuous glucose monitoring system in patients with type 2 diabetes on hemodialysis. J Diabetes Investig 2020; 11:1570-1574. [PMID: 32356596 PMCID: PMC7610128 DOI: 10.1111/jdi.13286] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 04/03/2020] [Accepted: 04/27/2020] [Indexed: 02/06/2023] Open
Abstract
We aimed to investigate if estimated hemoglobin A1c (eHbA1c) levels determined using a flash continuous glucose monitoring system could be an indicator of glycemic control status in hemodialysis patients with diabetes. Hemodialysis patients with type 2 diabetes were recruited. eHbA1c levels were measured using the FreeStyle Libre Flash Glucose Monitoring System®. A total of 18 hemodialysis patients with diabetes were included in the study. The eHbA1cGA – calculated based on glycated albumin level, and body mass index and serum hemoglobin concentration were also included in the formula – was higher than the eHbA1c in most patients. Furthermore, the eHbA1cGA – eHbA1c values were >2% in all patients with body mass index <18.5 kg/m2; the maximal value was 4.1%. This study shows that eHbA1c can be used as a reliable indicator for evaluating glycemic control and avoiding hypoglycemia in hemodialysis patients with diabetes, particularly those with decreased body mass index.
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Affiliation(s)
- Emi Ushigome
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | | | | | | | - Naoto Nakamura
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Michiaki Fukui
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
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William JH, Morales A, Rosas SE. When ESKD complicates the management of diabetes mellitus. Semin Dial 2020; 33:209-222. [PMID: 32274852 DOI: 10.1111/sdi.12873] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Given the increased incidence and prevalence of ESKD (end-stage kidney disease) attributed to diabetes mellitus, it is important to consider the physiological and global sociodemographic factors that give rise to unique challenges in providing excellent care to this population. The individual with diabetes and ESKD faces alterations of glucose homeostasis that require close therapeutic attention, as well as the consideration of safe and effective means of maintaining glycemic control. Implementation of routine monitoring of blood glucose and thoughtful alteration of the individual's hypoglycemic drug regimen must be employed to reduce the risk of neurological, cardiovascular, and diabetes-specific complications that may arise as a result of ESKD. Titration of insulin therapy may become quite challenging, as kidney replacement therapy often significantly impacts insulin requirements. New medications have significantly improved the ability of the clinician to provide effective therapies for the management of diabetes, but have also raised an equal amount of uncertainty with respect to their safety and efficacy in the ESKD population. Additionally, the clinician must consider the challenges related to the delivery of kidney replacement therapy, and how inter-modality differences may impact glycemic control, diabetes, and ESKD-related complications, and issues surrounding dialysis vascular access creation.
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Affiliation(s)
- Jeffrey H William
- Nephrology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Alexander Morales
- Nephrology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sylvia E Rosas
- Nephrology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.,Kidney and Hypertension Unit, Joslin Diabetes Center, Boston, MA, USA
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38
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Oriot P, Hermans MP. "Mind the gap please…": estimated vs. measured A 1c from continuous measurement of interstitial glucose over a 3-month period in patients with type 1 diabetes. Acta Clin Belg 2020; 75:109-115. [PMID: 30596337 DOI: 10.1080/17843286.2018.1561780] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Introduction: Glycated hemoglobin (A1c) is the measurement of choice to estimate the glycemic exposure over the last 3 months prior to sampling. The Free Style Libre® is a continuous glucose monitoring device which provides an estimated A1c (eA1c) from average interstitial glucose using Nathan's ADAG equation. The objective of this study was to compare eA1c and A1c in type 1 diabetes patients (T1D) over a period of 3 months.Materials and methods: Data were collected from patient charts between July 2016 and October 2017. 3-months recordings with >70% of data available were analyzed. eA1c was recorded at each visit and the corresponding A1c value measured by high performance liquid chromatography in a single reference lab.Results: A total of 344 reports from 170 T1D were studied, 3 categories were identified: eA1c = A1c: 13% of reports. eA1c > A1c: 57% of reports, positive difference (eA1c - A1c) of +0.74 ± 0.5% (P < 0.0001). eA1c < A1c: 30% of reports, negative difference (eA1c - A1c) of -0.5 ± 0.3% (P < 0.0001).Conclusion: eA1c value was generally overestimated compared to measured A1c in this T1D cohort. This lesser concordance may result from differences in measured glucose source and/or frequency to calculate eA1c compared to ADAG, but also from using the reverse equation which is a source of potential bias. Another explanation could be a different rate of hypoglycemia between groups, or an asymmetric distribution of A1c patients' phenotypes with differential hyper- or hypoglycation intrinsic propensity.
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Affiliation(s)
- Philippe Oriot
- Centre Hospitalier de Mouscron, Service de diabétologie et endocrinologie, Mouscron, Belgium
| | - Michel P Hermans
- Cliniques universitaires Saint-Luc, Service d’Endocrinologie et Nutrition, Brussels, Belgium
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39
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Funamizu T, Iwata H, Nishida Y, Miyosawa K, Doi S, Chikata Y, Shitara J, Endo H, Wada H, Naito R, Ogita M, Dohi T, Kasai T, Okazaki S, Isoda K, Miyauchi K, Daida H. Increased risk of cardiovascular mortality by strict glycemic control (pre-procedural HbA1c < 6.5%) in Japanese medically-treated diabetic patients following percutaneous coronary intervention: a 10-year follow-up study. Cardiovasc Diabetol 2020; 19:21. [PMID: 32070335 PMCID: PMC7027034 DOI: 10.1186/s12933-020-00996-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 02/03/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND In the secondary prevention of cardiovascular (CV) disease in patients with diabetes, an optimal level of HbA1c, the most widely-used glycemic control indicator, for favorable clinical consequences still remains to be established. This study assessed the association between preprocedural HbA1c level and CV mortality in Japanese diabetic patients undergoing percutaneous coronary intervention (PCI). METHODS This is a retrospective observational study using a single-center prospective PCI database involving consecutive 4542 patients who underwent PCI between 2000 and 2016. Patients with any antidiabetic medication including insulin at PCI were included in the analysis (n = 1328). We divided the patients into 5 and 2 groups according to HbA1c level; HbA1c: < 6.5% (n = 267), 6.5-7.0% (n = 268), 7.0-7.5% (n = 262), 7.5-8.5% (n = 287) and ≥ 8.5% (n = 244), and 7.0% > and ≤ 7.0%, respectively. The primary outcome was CV mortality including sudden death. The median follow-up duration was 6.2 years. RESULTS In the follow-up period, CV and sudden death occurred in 81 and 23 patients, respectively. While unadjusted Kaplan-Meier analysis showed no difference in cumulative CV mortality rate between patients binarized by preprocedural HbA1c 7.0%, analysis of the 5 groups of HbA1c showed significantly higher cumulative CV death in patients with HbA1c < 6.5% compared with those with 7.0-7.5% (P = 0.042). Multivariate Cox hazard analysis revealed a U-shaped relationship between preprocedural HbA1c level and risk of CV death, and the lowest risk was in the HbA1c 7.0-7.5% group (Hazard ratio of HbA1c < 6.5% compared to 7.0-7.5%: 2.97, 95% confidence interval: 1.33-7.25, P = 0.007). Similarly, univariate analysis revealed the lowest risk of sudden death was in the HbA1c 7.0-7.5% group. CONCLUSION The findings indicate an increased risk of CV mortality by strict glycemic control (HbA1c < 6.5%) in the secondary prevention of CV disease in Japanese patients with medically-treated diabetes. Trial registration This study reports the retrospective analysis of a prospective registry database of patients who underwent PCI at Juntendo University Hospital, Tokyo, Japan (Juntendo Physicians' Alliance for Clinical Trials, J-PACT), which is publicly registered (University Medical Information Network Japan-Clinical Trials Registry UMIN-CTR 000035587).
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Affiliation(s)
- Takehiro Funamizu
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Hiroshi Iwata
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan.
| | - Yuya Nishida
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Katsutoshi Miyosawa
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan.,Tokyo New Drug Research Laboratories, Kowa Company, Ltd., Tokyo, Japan
| | - Shinichiro Doi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Yuichi Chikata
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Jun Shitara
- Department of Cardiovascular Medicine, Juntendo University, Shizuoka Hospital, Shizuoka, Japan
| | - Hirohisa Endo
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Hideki Wada
- Department of Cardiovascular Medicine, Juntendo University, Shizuoka Hospital, Shizuoka, Japan
| | - Ryo Naito
- Department of Cardiovascular Medicine, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Manabu Ogita
- Department of Cardiovascular Medicine, Juntendo University, Shizuoka Hospital, Shizuoka, Japan
| | - Tomotaka Dohi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Takatoshi Kasai
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Shinya Okazaki
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Kikuo Isoda
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Katsumi Miyauchi
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan
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George C, Matsha TE, Korf M, Zemlin AE, Erasmus RT, Kengne AP. The agreement between fasting glucose and markers of chronic glycaemic exposure in individuals with and without chronic kidney disease: a cross-sectional study. BMC Nephrol 2020; 21:32. [PMID: 32000712 PMCID: PMC6990590 DOI: 10.1186/s12882-020-1697-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 01/20/2020] [Indexed: 12/22/2022] Open
Abstract
Background To assess whether the agreement between fasting glucose and glycated proteins is affected by chronic kidney disease (CKD) in a community-based sample of 1621 mixed-ancestry South Africans. Methods CKD was defined as an estimated glomerular filtration rate < 60 ml/min/1.73 m2. Fasting plasma glucose and haemoglobin A1c (HbA1c) concentrations were measured by enzymatic hexokinase method and high-performance liquid chromatography, respectively, with fructosamine and glycated albumin measured by immunoturbidimetry and enzymatic method, respectively. Results Of those with CKD (n = 96), 79, 16 and 5% where in stages 3, 4 and 5, respectively. Those with CKD had higher levels of HbA1c (6.2 vs. 5.7%; p < 0.0001), glycated albumin (15.0 vs. 13.0%; p < 0.0001) and fructosamine levels (269.7 vs. 236.4 μmol/l; p < 0.0001), compared to those without CKD. Higher fasting glucose levels were associated with higher HbA1c, glycated albumin and fructosamine, independent of age, gender, and CKD. However, the association with HbA1c and glycated albumin differed by CKD status, at the upper concentrations of the respective markers (interaction term for both: p ≤ 0.095). Conclusion Our results suggest that although HbA1c and glycated albumin perform acceptably under conditions of normoglycaemia, these markers correlate less well with blood glucose levels in people with CKD who are not on dialysis.
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Affiliation(s)
- Cindy George
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, Cape Town, South Africa.
| | - Tandi E Matsha
- SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Bellville, South Africa
| | - Marizna Korf
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa
| | - Annalise E Zemlin
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa
| | - Rajiv T Erasmus
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa
| | - Andre P Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, Cape Town, South Africa.,Department of Medicine, University of Cape Town, Cape Town, South Africa
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41
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Yarragudi R, Gessl A, Vychytil A. New-Onset Diabetes Mellitus in Peritoneal Dialysis and Hemodialysis Patients: Frequency, Risk Factors, and Prognosis-A Review. Ther Apher Dial 2019; 23:497-506. [PMID: 30854792 PMCID: PMC6916572 DOI: 10.1111/1744-9987.12800] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 02/03/2019] [Accepted: 03/08/2019] [Indexed: 12/23/2022]
Abstract
New-onset diabetes mellitus (NODM) is observed in both hemodialysis (HD) and peritoneal dialysis (PD) patients. The prevalence of NODM in dialysis patients is slightly higher compared to subjects of the general population. Based on currently published data there is no convincing evidence that the risk of NODM is different between HD and PD patients. Data on the effect of glucose load on risk of NODM in dialysis patients remain controversial. PD modality (automated or continuous ambulatory PD) has no significant influence on NODM incidence. Chronic inflammation is associated with NODM in dialysis patients. Reported differences in NODM between PD and HD patients are possibly also influenced by differences in demographic factors between these patient groups. Mortality in NODM patients is lower than mortality in patients with preexisting DM. This may be partly explained by the younger age and lower number of comorbidities in patients with NODM.
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Affiliation(s)
- Rajashri Yarragudi
- Clinical Division of Nephrology and Dialysis, Department of Medicine IIIMedical University of ViennaViennaAustria
| | - Alois Gessl
- Clinical Division of Endocrinology and Metabolism, Department of Medicine IIIMedical University of ViennaViennaAustria
| | - Andreas Vychytil
- Clinical Division of Nephrology and Dialysis, Department of Medicine IIIMedical University of ViennaViennaAustria
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42
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Hemadneh MK, Khatib ST, Hasan SA, Tahboub IN, Khazneh E, Zyoud SH. Diabetes-related knowledge in diabetic haemodialysis patients: a cross-sectional study from Palestine. RENAL REPLACEMENT THERAPY 2019. [DOI: 10.1186/s41100-019-0241-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Abstract
Background
Diabetes mellitus is the leading cause of end-stage renal disease. Monitoring and controlling normal blood sugar levels play a critical role in slowing the progression of micro- and macrovascular complications of diabetes. This study was conducted to measure glycaemic control and diabetes-related knowledge in diabetic patients on maintenance haemodialysis and to assess any relationship between these two variables.
Methods
This cross-sectional study was conducted at six dialysis centres in the north of the West Bank. Blood samples were collected to measure glycated haemoglobin (HbA1c) levels, while the Michigan Diabetic Knowledge Test (MDKT) was employed as a measure tool of diabetes-related knowledge. Patients were also asked to fill in a questionnaire in order to determine their sociodemographic characteristics. Finally, univariate analyses were used to measure the associations between the clinical and sociodemographic data, and diabetes knowledge and glycaemic control.
Results
A total of 147 haemodialysis patients with diabetes were included in this study. The mean age of the cohort was 60.12 (SD = 10.28). Males accounted for 51.7% of the cohort. The HbA1c levels (%) and MDKT scores were 6.89 ± 1.72 and 9.19 ± 1.7 (mean ± SD), respectively. 36.1% of the patients had poor glycemic control. The study showed that residency and household income were associated with diabetes knowledge (P < 0.05). However, the study did not show a significant association between diabetes-related knowledge and glycaemic control overall, nor did it show a significant association between the clinical and sociodemographic factors and glycaemic control (P > 0.05).
Conclusions
This study showed that patients living in refugee camps as well as those with low income had low diabetes-related knowledge and needed extra care. This study also revealed that a relatively high proportion of diabetic patients on maintenance haemodialysis suffered from poor glycemic control. Here, we recommend to put greater emphasis on better diabetes-related knowledge as a means to achieve better diabetes care with improved glycemic control for all haemodialysis patients
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Hoshino J, Hamano T, Abe M, Hasegawa T, Wada A, Ubara Y, Takaichi K, Inaba M, Nakai S, Masakane I. Glycated albumin versus hemoglobin A1c and mortality in diabetic hemodialysis patients: a cohort study. Nephrol Dial Transplant 2019. [PMID: 29528439 DOI: 10.1093/ndt/gfy014] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background For glycemic control in diabetic patients on dialysis it was unclear what level of glycated albumin (GA) was associated with the lowest mortality and GA's utility. Accordingly, we examined the difference in association between GA and hemoglobin A1c (HbA1c) with 1-year mortality in a cohort of the Japanese Society for Dialysis Therapy. Methods We examined 84 282 patients with prevalent diabetes who were on maintenance hemodialysis (HD) (female 30.3%; mean age 67.3 ± 11.2 years; mean dialysis vintage 6.4 ± 4.5 years). Of them, 22 441 had both GA and HbA1c. We followed these for a year, 2013-14, using Cox regression to calculate adjusted hazard ratios (HRs) and 95% confidence limits for 1-year mortality after adjusting for potential confounders such as baseline age, sex, smoking and diabetes type. Results One-year mortality was lowest in diabetic HD patients who had GA levels of 15.6-18.2% and HbA1c levels of 5.8-6.3%. The associations were linear or J-shaped for GA and U-shaped for HbA1c. Adjusted HRs were significantly higher in patients with GA <12.5% and GA ≥22.9%. This trend flattened in elderly patients, those with higher hemoglobin or those with prior cardiovascular disease. In addition, the C-statistics, Harrell's C and category-free net reclassification improvement to predict 1-year mortality were better when GA was added to the model than when HbA1c was added. Conclusions There was a linear or J-shaped association between GA and 1-year mortality, with the lowest mortality at GA 15.6-18.2%. Furthermore, our analyses suggest the potential superiority of GA over HbA1c in predicting mortality.
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Affiliation(s)
- Junichi Hoshino
- Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Nephrology Center, Toranomon Hospital, Tokyo, Japan
| | - Takayuki Hamano
- Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Department of Comprehensive Kidney Disease Research, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Masanori Abe
- Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Division of Nephrology, Hypertension and Endocrinology, Department of Internal Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Takeshi Hasegawa
- Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Division of Nephrology, Department of Internal Medicine, Showa University Fujigaoka Hospital, Kanagawa, Japan, Office for Promoting Medical Research, Showa University, Tokyo, Japan
| | - Atsushi Wada
- Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Department of Nephrology, Kitasaito Hospital, Asahikawa, Japan
| | | | | | - Masaaki Inaba
- Department of Metabolism, Endocrinology, and Molecular Medicine, Osaka City University, Osaka, Japan
| | - Shigeru Nakai
- Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Department of Clinical Engineering, Fujita Health University, Aichi, Japan
| | - Ikuto Masakane
- Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Yabuki Hospital, Yamagata, Japan
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Miyawaki J, Okuno S, Mori K, Nishio E, Norimine K, Kurajoh M, Yamakawa T, Shoji S, Inaba M. Inverse association of fat mass, but not lean mass, with glycated albumin in hemodialysis patients with or without diabetes mellitus. Ren Fail 2019; 41:808-813. [PMID: 31498022 PMCID: PMC6746297 DOI: 10.1080/0886022x.2019.1659819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background: Glycated albumin (GA), which is independent of anemia and/or use of erythropoiesis-stimulating agents, might provide a more precise measure than glycated hemoglobin (HbA1c) in hemodialysis patients. The present study examines whether body composition is associated with GA besides glycemic control in hemodialysis patients. Methods: This study included 90 hemodialysis patients with diabetes mellitus (DM) and 86 hemodialysis patients without DM. We examined blood parameters after an overnight fast and body fat and lean mass using dual X-ray absorptiometry 21–24 h after completing the dialysis session. Results: The mean body mass index (BMI) was 22.0 kg/m2. BMI and truncal fat mass were significantly higher, and total fat mass tended to be higher in hemodialysis patients with DM than in those without DM. GA exhibited inverse correlations with BMI, total lean mass, total fat mass, and truncal fat mass in hemodialysis patients with and without DM; however, there was a lack of correlation with total lean mass in patients without DM. In multiple regression analysis including total fat mass and total lean mass simultaneously as independent variables, total fat mass (with DM: β = –0.322, p = .006) (without DM: β = –0.391, p < .001), but not total lean mass, in addition to log fasting plasma glucose, emerged as an independent factor associated with GA in hemodialysis patients with and without DM. When total fat mass was replaced with truncal fat mass (with DM: β = –0.311, p = .007) (without DM: β = –0.396, p < .001), the association remained significant and independent with GA in both patient groups. Conclusions: Higher total fat mass, particularly truncal fat mass, might be associated with lower GA levels, beside glycemic control, in hemodialysis patients with or without DM.
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Affiliation(s)
| | - Senji Okuno
- Kidney Center, Shirasagi Hospital , Osaka , Japan
| | - Katsuhito Mori
- Department of Nephrology, Osaka City University Graduate School of Medicine , Osaka , Japan
| | - Eriko Nishio
- Kidney Center, Shirasagi Hospital , Osaka , Japan
| | | | - Masafumi Kurajoh
- Department of Metabolism, Endocrinology and Molecular Medicine, Osaka City University Graduate School of Medicine , Osaka , Japan
| | | | | | - Masaaki Inaba
- Department of Nephrology, Osaka City University Graduate School of Medicine , Osaka , Japan.,Department of Metabolism, Endocrinology and Molecular Medicine, Osaka City University Graduate School of Medicine , Osaka , Japan
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Garla V, Kanduri S, Yanes-Cardozo L, Lién LF. Management of diabetes mellitus in chronic kidney disease. MINERVA ENDOCRINOL 2019; 44:273-287. [DOI: 10.23736/s0391-1977.19.03015-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Kiniwa N, Okumiya T, Tokuhiro S, Matsumura Y, Matsui H, Koga M. Hemolysis causes a decrease in HbA1c level but not in glycated albumin or 1,5-anhydroglucitol level. Scandinavian Journal of Clinical and Laboratory Investigation 2019; 79:377-380. [PMID: 31204512 DOI: 10.1080/00365513.2019.1627577] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
HbA1c has been widely used as a glycemic control indicator or as a diagnostic indicator for diabetes mellitus. However, HbA1c is affected by the erythrocyte life span and, therefore, shows falsely low values in hemolytic patients. Erythrocyte creatine (EC) is a sensitive hemolytic marker that reflects the mean erythrocyte age. In the present study, the relationships of HbA1c, glycated albumin (GA), and 1,5-anhydroglucitol (1,5-AG) with different hemolytic markers, including EC, were investigated in non-diabetic individuals. A total of 43 non-diabetic individuals whose complete blood count and reticulocytes were measured via medical examinations were included in this study (28 individuals with hemolysis and 15 individuals without hemolysis). Those with suspected diabetes mellitus based on medical history, low 1,5-AG values, or had comorbid liver and renal diseases were excluded from this study. HbA1c, GA, 1,5-AG, and various hemolytic markers were measured to examine the correlation of the glycemic control indicators with the various hemolytic markers. A significant correlation was observed between GA and 1,5-AG but not between HbA1c and GA or 1,5-AG. Significant correlations were observed between HbA1c values and various hemolytic markers (reticulocytes, haptoglobin, and EC) but not between GA or 1,5-AG values and those hemolytic markers. HbA1c, but not with GA and 1,5-AG, showed significant correlations with the hemolytic markers. These results suggested that HbA1c does not reflect the glycemic control accurately in hemolytic patients, while GA and 1,5-AG values are not affected by mean erythrocyte age and, therefore, accurately reflect the glycemic control.
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Affiliation(s)
- Nanami Kiniwa
- Graduate School of Health Sciences, School of Health Sciences, Kumamoto University , Kumamoto , Japan
| | - Toshika Okumiya
- Graduate School of Health Sciences, School of Health Sciences, Kumamoto University , Kumamoto , Japan.,Department of Biomedical Laboratory Sciences, Faculty of Health Sciences, Kumamoto University , Kumamoto , Japan
| | - Shinji Tokuhiro
- Department Clinical Laboratory, Kochi Medical School Hospital , Kochi , Japan
| | | | - Hirotaka Matsui
- Department of Molecular Laboratory Medicine, Graduate School of Medical Sciences, Kumamoto University , Kumamoto , Japan
| | - Masafumi Koga
- Department of Internal Medicine, Hakuhokai Central Hospital , Hyogo , Japan
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Bally L, Gubler P, Thabit H, Hartnell S, Ruan Y, Wilinska ME, Evans ML, Semmo M, Vogt B, Coll AP, Stettler C, Hovorka R. Fully closed-loop insulin delivery improves glucose control of inpatients with type 2 diabetes receiving hemodialysis. Kidney Int 2019; 96:593-596. [PMID: 31133457 DOI: 10.1016/j.kint.2019.03.006] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 03/02/2019] [Accepted: 03/07/2019] [Indexed: 12/19/2022]
Abstract
Inpatient diabetes management of those on hemodialysis poses a major challenge. In a post hoc analysis of a randomized controlled clinical trial, we compared the efficacy of fully automated closed-loop insulin delivery vs. usual care in patients undergoing hemodialysis while in hospital. Compared to control patients receiving conventional subcutaneous insulin therapy, those patients receiving closed-loop insulin delivery significantly increased the proportion of time when a continuous glucose monitor was in the target range of 5.6-10.0 mmol/l by 37.6 percent without increasing the risk of hypoglycemia. Thus, closed-loop insulin delivery offers a novel way to achieve effective and safe glucose control in this vulnerable patient population.
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Affiliation(s)
- Lia Bally
- Department of Diabetes, Endocrinology, Clinical Nutrition & Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Philipp Gubler
- Department of Diabetes, Endocrinology, Clinical Nutrition & Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Hood Thabit
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Manchester University Hospitals NHS Foundation, Manchester Academic Health Science Centre, Manchester, UK; Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Sara Hartnell
- Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Yue Ruan
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Malgorzata E Wilinska
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Mark L Evans
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Mariam Semmo
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Bruno Vogt
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anthony P Coll
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Christoph Stettler
- Department of Diabetes, Endocrinology, Clinical Nutrition & Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Department of Paediatrics, University of Cambridge, Cambridge, UK.
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48
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Abe M, Hamano T, Hoshino J, Wada A, Nakai S, Masakane I. Glycemic control and survival in peritoneal dialysis patients with diabetes: A 2-year nationwide cohort study. Sci Rep 2019; 9:3320. [PMID: 30824808 PMCID: PMC6397316 DOI: 10.1038/s41598-019-39933-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 02/04/2019] [Indexed: 12/21/2022] Open
Abstract
For glycemic control in patients with diabetes on peritoneal dialysis (PD), the level of glycated albumin (GA) associated with mortality is unclear. Accordingly, we examined the difference in the association of GA and glycated hemoglobin (HbA1c) with 2-year mortality in a Japanese Society for Dialysis Therapy cohort. We examined 1601 patients with prevalent diabetes who were on PD. Of these, 1282 had HbA1c (HbA1c cohort) and 725 had GA (GA cohort) measured. We followed them for 2 years from 2013 to 2015 and used Cox regression to calculate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for 2-year mortality after adjusting for potential confounders in each cohort. No significant association was found between HbA1c levels and all-cause death HRs before and after adjustment for confounders in the HbA1c cohort. In contrast, the adjusted all-cause death HRs and 95% CIs for GAs < 12.0%, 12.0–13.9%, 16.0–17.9%, 18.0–19.9%, 20.0–21.9%, and ≥22.0%, compared with 14.0–15.9% (reference), were 1.56 (0.32–7.45), 1.24 (0.32–4.83), 1.32 (0.36–4.77), 2.02 (0.54–7.53), 4.36 (1.10–17.0), and 4.10 (1.20–14.0), respectively. In the GA cohort, GA ≥ 20.0% was significantly associated with a higher death HR compared with the reference GA. Thus, GA ≥ 20.0% appears to be associated with a decrease in survival in diabetic patients on PD. There were no associations between HbA1c levels and 2-year mortality in PD patients.
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Affiliation(s)
- Masanori Abe
- The Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan. .,Division of Nephrology, Hypertension and Endocrinology, Department of Internal Medicine, Nihon University School of Medicine, Tokyo, Japan.
| | - Takayuki Hamano
- The Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Department of Inter-Organ Communication Research in Kidney Disease, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Junichi Hoshino
- The Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Nephrology Center, Toranomon Hospital, Tokyo, Japan
| | - Atsushi Wada
- The Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Department of Nephrology, Kitasaito Hospital, Asahikawa, Japan
| | - Shigeru Nakai
- The Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Department of Clinical Engineering, Fujita Health University, Aichi, Japan
| | - Ikuto Masakane
- The Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo, Japan.,Yabuki Hospital, Yamagata, Japan
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CNDP1, NOS3, and MnSOD Polymorphisms as Risk Factors for Diabetic Nephropathy among Type 2 Diabetic Patients in Malaysia. J Nutr Metab 2019; 2019:8736215. [PMID: 30719346 PMCID: PMC6335667 DOI: 10.1155/2019/8736215] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 11/13/2018] [Accepted: 11/26/2018] [Indexed: 12/19/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is associated with a high incidence of nephropathy. The aim of this study was to investigate the association of a genetic polymorphism of carnosinase (CNDP1-D18S880 and -rs2346061), endothelial nitric oxide synthase (NOS3-rs1799983), and manganese superoxide dismutase (MnSOD-rs4880) genes with the development of diabetic nephropathy among Malaysian type 2 diabetic patients. A case-control association study was performed using 652 T2DM patients comprising 227 Malays (without nephropathy = 96 and nephropathy = 131), 203 Chinese (without nephropathy = 95 and nephropathy = 108), and 222 Indians (without nephropathy = 136 and nephropathy = 86). DNA sequencing was performed for the D18S880 of CNDP1, while the rest were tested using DNA Sequenom MassARRAY to identify the polymorphisms. DNA was extracted from the secondary blood samples taken from the T2DM patients. The alleles and genotypes were tested using four genetic models, and the best mode of inheritance was chosen based on the least p value. The rs2346061 of CNDP1 was significantly associated with diabetic nephropathy among the Indians only with OR = 1.94 and 95% CI = (1.76–3.20) and fitted best the multiplicative model, while D18S880 was associated among all the three major races with the Malays having the strongest association with OR = 2.46 and 95% CI = (1.48–4.10), Chinese with OR = 2.26 and 95% CI = (1.34–3.83), and Indians with OR = 1.77 and 95% CI = (1.18–2.65) in the genotypic multiplicative model. The best mode of inheritance for both MnSOD and NOS3 was the additive model. For MnSOD-rs4880, the Chinese had OR = 2.8 and 95% CI = (0.53–14.94), Indians had OR = 2.4 and 95% CI = (0.69–2.84), and Malays had OR = 2.16 and 95% CI = (0.54–8.65), while for NOS3-rs1799983, the Indians had the highest risk with OR = 3.16 and 95% CI = (0.52–17.56), followed by the Chinese with OR = 3.55 and 95% CI = (0.36–35.03) and the Malays with OR = 2.89 and 95% CI = (0.29–28.32). The four oxidative stress-related polymorphisms have significant effects on the development of nephropathy in type 2 diabetes patients. The genes may, therefore, be considered as risk factors for Malaysian subjects who are predisposed to T2DM nephropathy.
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50
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Yajima T, Yasuda K. Plausible role of glycated albumin to predict 'burnt-out diabetes' in peritoneal dialysis patients. Diabetes Res Clin Pract 2019; 147:172-173. [PMID: 30391335 DOI: 10.1016/j.diabres.2018.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 10/22/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Takahiro Yajima
- Department of Nephrology, Matsunami General Hospital, Gifu 501-6062, Japan.
| | - Keigo Yasuda
- Department of Internal Medicine, Matsunami General Hospital, Gifu 501-6062, Japan
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