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Dataset Information

Analysis of risk factors and predictive value of a nomogram for peripheral arterial disease in patients with type 2 diabetes.


ABSTRACT:

Background

Peripheral arterial disease (PAD) is a common macrovascular complication of type 2 diabetes mellitus (T2DM) that contributes to lower-limb morbidity and increased cardiovascular mortality. Early risk stratification is essential to guide screening and preventive measures; however, no comprehensive tool currently integrates demographic, clinical and hematologic factors to predict PAD in T2DM.

Methods

In this retrospective cohort study, 426 adults with T2DM treated between January 2020 and December 2024 were stratified by PAD status (PAD, n = 136; non-PAD, n = 290). Risk factors were identified by multivariable logistic regression. A nomogram was constructed using the rms package in R and internally validated via bootstrap resampling (n = 1 000). Discrimination was a

SUBMITTER: Zu YZ 

PROVIDER: S-EPMC12719262 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature