Risk factors for DPN
T2DM, rectus femoris mass, Diabetes, diabetes combined RFMI, diabetes
REGRESSION, DIABETES, DIABETES
For logistic regression analysis, continuous variables underwent transformation into hierarchical variates based on the following intervals: duration of diabetes (≤10 years and > 10 years), BMI (≤24 kg/mMultivariable logistic regression analysis was carried out to determine risk factors for DPN. Patient features such as diabetes duration, BMI, HbA1c and RFMI were transformed into qualitative data and used as independent variables together with gender.Diabetes duration above 10 years (OR=2.59, 95% CI1.86-3.60; P<0.001) independently predicted DPN. Additionally, low RFMI values of 1.96-2.37 cm²/m² (OR=3.57, 95% CI2.11-6.05; P<0.001) and ≤1.96 cm²/m² (OR=6.41, 95% CI3.83-10.72; P<0.001) increased the risk of DPN compared with higher levels (>2.81 cm²/m²). These data are summarized in Risk factors of DPN in multivariate logistic regression.RFMI, rectus femoris mass index;95% CI, 95% confidential interval. *p< 0.05. **p<0.001.Thus, ROC analysis was performed to assess the optimal cutoffs of T2DM duration and RFMI used jointly to detect DPN. Another multivariable logistic regression analysis was carried out with DPN as a dependent variate and T2DM duration and RFMI as independent variates. This approach enabled the assessment of the T2DM duration/RFMI combination for its predictive potential in DPN.The cutoffs for T2DM duration and RFMI were 7 years and 2.2 cm²/m², respectively; based on these values an AUC of 0.75 (95% CI: 0.72–0.79, P<0.001) was obtained, and sensitivity and specificity of 68.4% and 66.8%, respectively (Receiver-operating characteristic (ROC) analysis of the duration of diabetes combined RFMI to predict DPN in T2DM patients (AUC = 0.75; 95% CI: 0.72–0.79; sensitivity,68.4%; specificity, 66.8%, P< 0.001).