Hemoglobin A1c as a predictor of incident diabetes
Peiyao Cheng1, Britta Neugaard, Philip Foulis
1Department of Veterans Affairs Medical Center, Tampa, Florida, USA.
Insights
Glycated hemoglobin (HbA1c) levels at 5.0% or higher significantly predict future diabetes diagnosis. Higher HbA1c values, especially 6.0-6.4%, indicate substantially increased diabetes risk.
Area of Science:
- Endocrinology
- Diabetes Mellitus Research
- Clinical Diagnostics
Background:
- Recent guidelines expand the use of glycated hemoglobin (HbA1c) for diagnosing diabetes.
- Many individuals with HbA1c below the diagnostic threshold require risk stratification for future diabetes.
- Predictive markers for incident diabetes are crucial for early intervention.
Purpose of the Study:
- To evaluate the predictive ability of HbA1c levels for the incidence of a diabetes diagnosis.
- To assess the risk associated with specific HbA1c ranges below the diagnostic threshold.
Main Methods:
- A historical cohort study was conducted using electronic medical records from two VA Medical Centers.
- 12,589 patients with baseline HbA1c <6.5% and no prior diabetes diagnosis were tracked for 8 years.
- Follow-up data from 12,375 patients were analyzed for subsequent diabetes diagnosis.
Main Results:
- Over an average follow-up of 4.4 years, 26.9% of patients developed diabetes.
- HbA1c levels of 5.0% or higher were significantly associated with increased diabetes risk.
- Adjusted odds ratios increased substantially with rising HbA1c levels: 1.70 (5.0-5.4%), 4.87 (5.5-5.9%), and 16.06 (6.0-6.4%) compared to <4.5%.
Conclusions:
- Diabetes incidence progressively and significantly increases in patients with HbA1c ≥ 5.0%.
- Patients with HbA1c levels between 6.0-6.4% face a substantially expanded risk of developing diabetes.
- A validated risk model incorporating HbA1c, age, BMI, and systolic blood pressure can predict 5-year incident diabetes risk.
Objective:
Several studies have suggested that HbA(1c) levels may predict incident diabetes. With new recommendations for use of HbA(1c) in diagnosing diabetes, many patients with HbA(1c) results below the diagnostic threshold will be identified. Clinicians will need to categorize risk for a subsequent diabetic diagnosis in such patients. The objective of this study was to determine the ability of HbA(1c) to predict the incidence of a diabetic diagnosis.
Research Design And Methods:
We performed a historical cohort study using electronic medical record data from two Department of Veterans Affairs Medical Centers. Patients (n = 12,589) were identified with a baseline HbA(1c) <6.5% between January 2000 and December 2001 and without a diagnosis of diabetes. Patients (12,375) had at least one subsequent follow-up visit. These patients were tracked for 8 years for a subsequent diagnosis of diabetes.
Results:
During an average follow-up of 4.4 years, 3,329 (26.9%) developed diabetes. HbA(1c) ≥ 5.0% carried a significant risk for developing diabetes during follow-up. When compared with the reference group (HbA(1c) <4.5%), HbA(1c) increments of 0.5% between 5.0 and 6.4% had adjusted odds ratios of 1.70 (5.0-5.4%), 4.87 (5.5-5.9%), and 16.06 (6.0-6.4%) (P < 0.0001). Estimates of hazard ratios similarly showed significant increases for HbA(1c) ≥ 5.0%. A risk model for incident diabetes within 5 years was developed and validated using HbA(1c), age, BMI, and systolic blood pressure.
Conclusions:
The incidence of diabetes progressively and significantly increased among patients with an HbA(1c) ≥ 5.0%, with substantially expanded risk for those with HbA(1c) 6.0-6.4%.
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