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July 23, 2026PeerJOpen Access

Development and validation of a nomogram model for predicting diabetic foot in type 2 diabetes

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Authors

CXChuanqing XieYLYa Li

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Overview

Retrospective analysis predicts diabetic foot risk in type 2 diabetes, suggesting early intervention is crucial.

Key Points

  • The aim is to develop a nomogram model to predict diabetic foot risk in type 2 diabetes patients.
  • Conducted a retrospective analysis of 450 individuals with type 2 diabetes.
  • Divided patients into training and validation sets in a 7:3 ratio randomly.
  • Utilized LASSO regression and multivariable logistic regression to identify independent risk factors.
  • Nomogram includes six independent risk factors: diabetic peripheral neuropathy, coronary heart disease, serum albumin, high-density lipoprotein, fasting blood glucose, and the neutrophil percentage-to-hemoglobin ratio.
  • Achieved an AUC of 0.945 in the training cohort (95% CI [0.9226–0.968]) and 0.941 in the validation cohort (95% CI [0.9021–0.9789]).
  • Demonstrated positive calibration and clinical benefits through decision curve analysis.

Cite This Study

Xie et al. (2026) studied this question.

synapsesocial.com/papers/6a61afe0faa9903c5116a846https://doi.org/10.7717/peerj.21584
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