Predicting heart failure in asymptomatic diabetes: derivation and internal validation of a clinical prediction model for early detection of diabetic cardiomyopathy - Takeaways - MDSpire

Predicting heart failure in asymptomatic diabetes: derivation and internal validation of a clinical prediction model for early detection of diabetic cardiomyopathy

  • By

  • Yu Cao

  • Wenwen Chen

  • Yunyuan Tian

  • Yao Li

  • Lu Xu

  • Haifeng Tang

  • June 22, 2026

  • 0 min

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  • 1

    The study developed a clinical prediction model to identify asymptomatic type 2 diabetes patients at risk of heart failure or subclinical cardiac dysfunction.

  • 2

    The cohort included 326 asymptomatic T2DM patients with preserved LVEF, assessed over 24 months with multiple echocardiographic evaluations.

  • 3

    Independent predictors of heart failure included LASr ≤24%, NT-proBNP ≥120 pg/mL, and galectin-3 ≥15 ng/mL among other clinical factors.

  • 4

    The scoring system stratified patients into low, intermediate, and high-risk groups with significant differences in 24-month cumulative incidences.

  • 5

    The model demonstrated good discrimination and calibration, but external validation and assessment of clinical utility are necessary before routine use.

Original Source(s)

Predicting heart failure in asymptomatic diabetes: derivation and internal validation of a clinical prediction model for early detection of diabetic cardiomyopathy

  • by Yu Cao, Wenwen Chen, Yunyuan Tian, Yao Li, Lu Xu, Haifeng Tang

  • June 22, 2026

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