Creation and assessment of a predictive model for the risk of myocardial hypoperfusion following primary PCI in patients with ST-segment elevation myocardial infarction - Takeaways - MDSpire

Creation and assessment of a predictive model for the risk of myocardial hypoperfusion following primary PCI in patients with ST-segment elevation myocardial infarction

  • By

  • Yan Zhao

  • Xiaoxia Fang

  • Huilin Li

  • Minglei Han

  • Fucheng Zhang

  • Mingming Qiao

  • April 21, 2026

  • 0 min

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  • 1

    A predictive model for myocardial hypoperfusion post-primary PCI in STEMI patients was developed using data from 434 patients.

  • 2

    Independent predictors identified include time to PCI, atorvastatin dose, balloon deflation method, RDW, and MAO levels.

  • 3

    The nomogram demonstrated good discrimination with AUC values of 0.855 in the training cohort and 0.838 in the validation cohort.

  • 4

    Calibration curves indicated strong agreement between predicted and observed outcomes, enhancing the model's reliability.

  • 5

    The model offers significant clinical utility, providing greater net benefit compared to treat-all and treat-none strategies.

Original Source(s)

Creation and assessment of a predictive model for the risk of myocardial hypoperfusion following primary PCI in patients with ST-segment elevation myocardial infarction

  • by Yan Zhao, Xiaoxia Fang, Huilin Li, Minglei Han, Fucheng Zhang, Mingming Qiao

  • April 21, 2026

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