Statistical analysis
diabetes
REGRESSION, DIABETES
Data were analyzed with SPSS 24.0 (SPSS, USA). Normally and skewedly distributed continuous data were presented by mean ± standard deviation (SD) and median with interquartile range (IQR), respectively. Between-group comparisons utilized the Student’s t test. Multiple group comparisons applied ANOVA and the Kruskal–Wallis test for data with normal and skewed distributions, respectively. Categorical data were analyzed by χ2 test. Pearson’s correlation analysis was carried out to analyze the associations of RFMI with nerve conduction parameters (mean motor or sensory nerve amplitude and CV). Multivariable logistic regression was used to analyze associations of clinical indicators with DPN. Receiver-operating characteristic (ROC) analysis was carried out to determine the optimal cutoffs of diabetes duration and RFMI for detecting DPN. P<0.05 indicated statistical significance.