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September 10, 2025Frontiers in EndocrinologyOpen Access

Predicting diabetic cardiomyopathy in type 2 diabetes: development and validation of a nomogram based on clinical and echocardiographic parameters

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Authors

ZLZhizhong LuoDPDamao PiTXTianlan Xi

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Overview

Retrospective analysis identifies six predictors of diabetic cardiomyopathy risk in T2DM, suggesting effective individual risk stratification.

Key Points

  • The nomogram predicts diabetic cardiomyopathy risk in type 2 diabetes patients, facilitating early interventions.
  • Using a robust AUC-ROC of 0.947 in training and 0.922 in validation demonstrates excellent model discrimination.
  • Calibration plots confirm strong agreement of the nomogram's predictions, indicating reliable clinical utility.
  • Integration of clinical and echocardiographic parameters allows for individualized risk assessment in diabetic patients.

Cite This Study

Luo et al. (2025) studied this question.

synapsesocial.com/papers/68c1c62f54b1d3bfb60f1c4ehttps://doi.org/10.3389/fendo.2025.1641114
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