ArticleDiabetes care2013
Developing an HbA(1c)-based equation to estimate blood glucose in maintenance hemodialysis patients.
Article in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Fasting blood glucose and the risk of all-cause mortality in patients with diabetes mellitus undergoing hemodialysis.Kidney research and clinical practice · 2024Article
- Continuous Glucose Monitoring Metrics in the Assessment of Glycemia in Moderate-to-Advanced CKD in Diabetes.Kidney international reports · 2022Article
- Should Pre-Transplant Hemoglobin A1c Be Used to Predict Post-Transplant Compliance in End-Stage Renal Disease Patients Undergoing Kidney Transplantation?Annals of transplantation · 2020Article
- Introduction to clinical research based on modern epidemiology.Clinical and experimental nephrology · 2020Review
- Development of a novel estimation method for hemoglobin A1c using glycated albumin in type 2 diabetes mellitus patients with end-stage renal disease.Diabetology international · 2018Article
- Glycaemic Control Impact on Renal Endpoints in Diabetic Patients on Haemodialysis.International journal of nephrology · 2015Article
- Updates on the management of diabetes in dialysis patients.Seminars in dialysis · 2014Review
- Using hemoglobin A1c to derive mean blood glucose in peritoneal dialysis patients.American journal of nephrology · 2013Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 4 countries.
Funding
Abstract
objectiveHemoglobin A1c (HbA(1c)) has been widely used as a clinically important assessment tool for outcome analyses related to glycemic control. However, because of special conditions in dialysis patients, including the uremic milieu, there is no HbA(1c) blood glucose (BG) equation specific for patients on dialysis. In this study, we sought to develop HbA(1c)-BG equation models for hemodialysis patients. RESEARCH DESIGN AND
methodsWe examined associations between HbA(1c) and random serum BG over time in a contemporary cohort of diabetic patients with hemodialysis treated in DaVita dialysis clinics. We identified 11,986 patients (63 ± 12 years old and 49% male) with 69,764 paired measurements of HbA(1c) and BG over the course of 5 years (2001-2006). Bootstrapping method was used to estimate average BG and corresponding HbA(1c) levels. The association was adjusted by patient factors using linear regression.
resultsLinear regression analyses yielded the following three regression equations: BG = 59.2 + 29.4 × HbA(1c) - 20.8 × Alb (R(2) = 0.483); BG = 104.8 + 29.7 × HbA(1c) - 18.4 × Alb - 4.7 × Hb (R(2) = 0.486); and BG = 82.9 + 30.7 × HbA(1c) - 16.5 × Alb - 5.4 × Hb + 0.3 × age + race (R(2) = 0.491). All our models showed stronger association than previous equation models (R(2) = 0.468 in the Diabetes Control and Complications Trial and A1c-Derived Average Glucose equations).
conclusionsThe association between HbA(1c) and BG in hemodialysis patients is different than that of patients with normal kidney function. Our analysis suggests that equations including serum albumin or hemoglobin are better for hemodialysis patients.
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Registered trials
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