ArticleAmerican journal of nephrology2013
Using hemoglobin A1c to derive mean blood glucose in peritoneal dialysis patients.
Article in American journal of nephrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 24 citations in OpenAlex.
- Long-term glycemic variability and the risk of mortality in diabetic patients receiving peritoneal dialysis.PloS one · 2022Trial
- The dialysis foot- the impact of presenting estimated glomerular filtration rate on clinical outcomes in patients hospitalized with diabetic foot infections.International wound journal · 2025Article
- Continuous Glucose Monitoring Metrics in the Assessment of Glycemia in Moderate-to-Advanced CKD in Diabetes.Kidney international reports · 2022Article
- Glycemic Patterns and Factors Associated with Post-Hemodialysis Hyperglycemia among End-Stage Renal Disease Patients undergoing Maintenance Hemodialysis.Journal of the ASEAN Federation of Endocrine Societies · 2020Article
- Diabetic kidney disease: a report from an ADA Consensus Conference.Diabetes care · 2014Article
- Updates on the management of diabetes in dialysis patients.Seminars in dialysis · 2014Review
- Dietary restrictions in dialysis patients: is there anything left to eat?Seminars in dialysisReview
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 4 countries.
Funding
Abstract
backgroundAlthough hemoglobin A1c (HbA1c) has been widely used as a clinical assessment tool for outcome analyses related to glycemic control, the relationship between HbA1c and average blood glucose (BG) specific to peritoneal dialysis (PD) patients with diabetes has not been characterized. We sought to develop HbA1c-BG equation models for PD patients.
methodsWe examined associations between HbA1c and random serum BG values over time in a contemporary 5-year (2001-2006) cohort of DaVita PD patients with diabetes. We identified 850 patients (mean age: 58 ± 13 years, 56% male) with 4,566 paired measurements of HbA1c and BG. The bootstrapping method was used to estimate average BG and corresponding HbA1c.
resultsLinear regression analyses yielded the following HbA1c-BG equations: (1) BG (mg/dl) = 24.1 + 28.6 × HbA1c - 12.2 × albumin [adjusted R(2) (R(2)adj = 0.454)], (2) BG = 55.3 + 28.8 × HbA1c - 10.2 × albumin - 3.3 × Hb (R(2)adj = 0.457), and (3) BG = 69.5 + 28.7 × HbA1c - 10.1 × albumin - 3.7 × Hb - 0.1 × age + race/ethnicity (-10.1 African Americans, -5.4 other race/ethnicities; R(2)adj = 0.457). All models showed greater explanatory power of BG variation than previously established HbA1c-BG equation models defined within non-PD cohorts [R(2)adj = 0.446 for both the Diabetes Control and Complications Trial (DCCT) and the A1c-Derived Average Glucose (ADAG) equations].
conclusionsThe association between HbA1c and BG in PD patients is different than that of patients with normal kidney function. Our analysis suggests that equations incorporating serum albumin and/or Hb values better estimate the HbA1c-BG relationship in PD patients compared to equations using HbA1c alone.
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Registered trials
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