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Hemoglobin A(1c) levels and mortality in the diabetic hemodialysis population: findings from the Dialysis Outcomes
Sylvia Paz B Ramirez1, Keith P McCullough, Jyothi R Thumma
1Arbor Research Collaborative for Health, Ann Arbor, Michigan, USA. sylvia.ramirez@arborresearch.org
Insights
Hemoglobin A1c (HbA1c) levels strongly predict mortality in hemodialysis patients. Optimal HbA1c targets for these patients may differ from current guidelines, suggesting adjustments to glucose-lowering medications could improve outcomes.
Area of Science:
- Nephrology
- Endocrinology
- Clinical Epidemiology
Background:
- Lowering hemoglobin A1c (HbA1c) to below 7% is recommended to reduce microvascular complications in diabetes.
- The optimal HbA1c target for patients with kidney failure on hemodialysis remains unclear.
- This study investigates the association between HbA1c levels and mortality in a large international cohort of hemodialysis patients.
Purpose of the Study:
- To evaluate the relationship between HbA1c levels and mortality in patients undergoing hemodialysis.
- To determine if current HbA1c targets are appropriate for patients with diabetes and kidney failure.
Main Methods:
- A prospective cohort study included 9,201 hemodialysis patients with type 1 or type 2 diabetes from 12 countries (Dialysis Outcomes and Practice Patterns Study 3 and 4, 2006-2010).
- HbA1c levels were measured within the first 8 months of study entry.
- Cox regression analysis was used to assess the association between HbA1c and mortality, adjusting for numerous potential confounders.
Main Results:
- The association between HbA1c and mortality exhibited a U-shaped pattern.
- Compared to an HbA1c of 7-7.9%, mortality risk was higher for levels below 5% (HR 1.35) and 6-6.9% (HR 1.21), as well as for levels ≥9.0% (HR 1.38).
- Diabetes medications were prescribed for only 35% of patients with HbA1c <6% and not prescribed for 29% with HbA1c ≥9%.
Conclusions:
- HbA1c levels are a strong predictor of mortality in hemodialysis patients with diabetes.
- Mortality risk increases as HbA1c levels deviate from the 7-7.9% range, suggesting higher target HbA1c values may be appropriate for this population.
- Adjusting glucose-lowering medication strategies to target HbA1c levels within this broader range could potentially improve outcomes for hemodialysis patients.
Objective:
Lowering hemoglobin A(1c) to <7% reduces the risk of microvascular complications of diabetes, but the importance of maintaining this target in diabetes patients with kidney failure is unclear. We evaluated the relationship between A(1c) levels and mortality in an international prospective cohort study of hemodialysis patients.
Research Design And Methods:
Included were 9,201 hemodialysis patients from 12 countries (Dialysis Outcomes and Practice Patterns Study 3 and 4, 2006-2010) with type 1 or type 2 diabetes and at least one A(1c) measurement during the first 8 months after study entry. Associations between A(1c) and mortality were assessed with Cox regression, adjusting for potential confounders.
Results:
The association between A(1c) and mortality was U-shaped. Compared with an A(1c) of 7-7.9%, the hazard ratios (95% CI) for A(1c) levels were 1.35 (1.09-1.67) for <5%, 1.18 (1.01-1.37) for 5-5.9%, 1.21 (1.05-1.41) for 6-6.9%, 1.16 (0.94-1.43) for 8-8.9%, and 1.38 (1.11-1.71) for ≥9.0%, after adjustment for age, sex, race, BMI, serum albumin, years of dialysis, serum creatinine, 12 comorbid conditions, insulin use, hemoglobin, LDL cholesterol, country, and study phase. Diabetes medications were prescribed for 35% of patients with A(1c) <6% and not prescribed for 29% of those with A(1c) ≥9%.
Conclusions:
A(1c) levels strongly predicted mortality in hemodialysis patients with type 1 or type 2 diabetes. Mortality increased as A(1c) moved further from 7-7.9%; thus, target A(1c) in hemodialysis patients may encompass values higher than those recommended by current guidelines. Modifying glucose-lowering medicines for dialysis patients to target A(1c) levels within this range may be a modifiable practice to improve outcomes.
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