Reconfirmation of newly discovered risk factors of diabetic peripheral neuropathy in patients with type 2 diabetes: A case-control study

• Published in: PloS one 2019-07, Vol.14 (7), p.e0220175-e0220175
• Main Authors: Pai, Yen-Wei, Lin, Ching-Heng, Lin, Shih-Yi, Lee, I-Te, Chang, Ming-Hong
• Format: Article
• Language: English
• Subjects: Aged; Aged, 80 and over; Albuminuria - complications; Analysis; Biochemistry; Biology and life sciences; Blood; Blood glucose; Case-Control Studies; Complications; Complications and side effects; Confidence intervals; Control; Control methods; Criteria; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - complications; Diabetes therapy; Diabetic Neuropathies - physiopathology; Epidemiology; Fasting; Female; Glucose; Health risks; Hemoglobin; Hospitals; Humans; Hypertension; Hypoglycemia; Hypoglycemia - complications; Hypoglycemic agents; Male; Medicine; Medicine and Health Sciences; Metabolism; Methods; Microvasculature; Middle Aged; Multivariate Analysis; Patients; Performance prediction; Peripheral neuropathy; Polyneuropathies; Quality of life; Retrospective Studies; Risk analysis; Risk Factors; Screening; Taiwan; Tertiary Care Centers; Type 2 diabetes; Variability
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0220175

The aim of the present study was to investigate the major determinants of diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes (T2D), considering the traditional and newly discovered risk factors, including hypoglycaemia and glycemic variability. This retrospective case-control study was conducted in a tertiary care hospital in Taiwan. A total of 2,837 patients with T2D were recruited, medical history and biochemical data were obtained, and patients were screened for DPN using the Michigan Neuropathy Screening Instrument (MNSI). DPN was defined as an MNSI exam score > 2. A stepwise selection of variables was used based on the Akaike Information Criterion (AIC) and the Schwarz Criterion (SC). Multivariate analysis was performed using the identified variables obtained from the stepwise selection. Among the recruited patients, 604 (21.3%) were found to have DPN. 275 patients with DPN were selected because of longer follow up period before enrollment and complete data of glycemic parameters, and paired with 351 patients with T2D without DPN and matched for age, gender, and diabetes duration. The results of the stepwise selection showed that the presence of moderately and severely increased albuminuria yielded the lowest values of AIC and SC, which indicate the best predictive performance. Multivariate analysis demonstrated that moderately and severely increased albuminuria and greater long-term glycemic variability significantly increased the risk of DPN, with a corresponding odds ratio of 1.85 and 1.61 (95%confidence intervals of 1.25-2.73and1.02-2.55, respectively), after adjusted for hypoglycaemia and types of diabetes treatment. Albuminuria is a potent predictor of DPN, and greater long-term glycemic variabilityis clearly associated with DPN in adults with T2D. These findings indicate that, in addition to achieve average blood glucose control, screening for albuminuria and reducing blood glucose fluctuations might be useful for improving diabetic microvascular complications.