Hemoglobin A(1c) as a Predictor of Incident Diabetes

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%.