Objective: To examine whether variations in fasting plasma glucose (FPG), as measured by the coefficient of variation (CV), is a predictor of diabetic polyneuropathy (DPN) risk, considering glycated hemoglobin (HbA1c) and other traditional risk factors.
Methods: Type 2 diabetic patients enrolled in the National Diabetes Care Management Program were ≥30 years of age and free of DPN (n = 36,152). They were enrolled in 2002-2004 and were monitored until 2011. The related factors were analyzed using Cox proportional hazards regression models.
Results: During an average 7.23 years of follow-up, a total of 7,219 incident cases of DPN were identified, with a crude incidence rate of 27.62/1,000 person-years (25.83 for men and 29.31 for women). After multivariate adjustment, both FPG-CV and HbA1c were significant predictors of DPN, with corresponding hazard ratios of 1.14 (95% confidence interval [CI] 1.05-1.23) and 1.15 (95% CI 1.06-1.24) for FPG-CV in the fourth to fifth quintiles and 1.13 (95% CI 1.07-1.20) for HbA1c ≥7%. This finding maintained consistency after excluding potential confounders in the sensitivity analysis, further validating the results.
Conclusions: FPG-CV and HbA1c ≥7% were potent predictors of DPN in type 2 diabetic patients. The associations among HbA1c, glycemic variability, and DPN suggest a linked pathophysiologic mechanism, which may play a crucial role in clinical risk assessments.
© 2017 American Academy of Neurology.