Analysis of factors influencing diabetic peripheral neuropathy in patients with type 2 diabetes mellitus and construction of a nomogram prediction model - Summary - MDSpire
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Analysis of factors influencing diabetic peripheral neuropathy in patients with type 2 diabetes mellitus and construction of a nomogram prediction model
To analyze the influencing factors of diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes mellitus (T2DM) and to construct a nomogram.
Approach:
Study Design: A total of 570 patients with T2DM were included and assigned to a training set (285 cases) and a validation set (285 cases) in a 1:1 ratio.
Statistical Analysis: Logistic regression analysis was used to identify independent risk factors, and a nomogram was developed, validated, and evaluated.
Key Findings:
Advanced age (OR = 4.575), body mass index ≥ 24.0 kg/m2 (OR = 2.463), history of smoking (OR = 2.585), history of drinking (OR = 2.717), concomitant hypertension (OR = 2.925), concomitant dyslipidemia (OR = 2.393), concomitant diabetic kidney disease (DKD) (OR…
The area under the ROC curve for the training set was 0.795 and for the validation set was 0.857.
Calibration curves conformed to the ideal curve, and the Hosmer-Lemeshow goodness of fit test showed no significant deviation.
Interpretation:
The nomogram based on identified risk factors can effectively predict the risk of DPN in patients with T2DM.
Conclusion:
The study identifies key independent risk factors for DPN in T2DM and presents a nomogram for risk prediction.
