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Association of glycemic variability assessed by continuous glucose monitoring with subclinical diabetic polyneuropathy in type 2 diabetes

Journal of Diabetes Investigation Sep 04, 2021

Pan J, Yan X, Li F, et al. - This study’s findings demonstrate that glucose standard deviation (SDgluc) is a significant independent contributor to subclinical diabetic polyneuropathy, in addition to conventional risk factors including diabetes duration and HbA1c.

  • Researchers recruited a total of 509 individuals with type 2 diabetes who were screened for diabetic peripheral neuropathy and monitored using a continuous glucose monitoring system.

  • Multivariate logistic regression analyses demonstrated that SDgluc and the conventional risk factor hemoglobin A1c (HbA1c) were independently correlated with abnormal nerve function, and the corresponding odds ratios (95% confidence interval) were 1.198 (1.027-1.397, SDgluc) and 1.182 (1.061-1.316, HbA1c), respectively.

  • It was shown that the composite Z-score of nerve conduction velocity (NCV) and response amplitude obviously reduced with greater SDgluc, and the composite Z-score of distal latency significantly elevated with increasing tertiles of SDgluc (all P trend < 0.05).

  • SDglucc was independently correlated with NCV after adjusting for age, gender, body mass index, diabetes duration, and HbA1c (β = -0.124, P = 0.021).

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