Frontiers in Cardiovascular Medicine (Aug 2022)

A nomogram predicting 30-day mortality in patients undergoing percutaneous coronary intervention

  • Jingjing Song,
  • Yupeng Liu,
  • Yupeng Liu,
  • Wenyao Wang,
  • Wenyao Wang,
  • Jing Chen,
  • Jie Yang,
  • Jun Wen,
  • Jun Gao,
  • Jun Gao,
  • Chunli Shao,
  • Chunli Shao,
  • Yi-Da Tang,
  • Yi-Da Tang

DOI
https://doi.org/10.3389/fcvm.2022.897020
Journal volume & issue
Vol. 9

Abstract

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Background and aimsEarly detection of mortality after percutaneous coronary intervention (PCI) is crucial, whereas most risk prediction models are based on outdated cohorts before the year 2000. This study aimed to establish a nomogram predicting 30-day mortality after PCI.Materials and methodsIn total, 10,444 patients undergoing PCI in National Center for Cardiovascular Diseases in China were enrolled to establish a nomogram to predict 30-day mortality after PCI. The nomogram was generated by incorporating parameters selected by logistic regression with the stepwise backward method.ResultsFive features were selected to build the nomogram, including age, male sex, cardiac dysfunction, STEMI, and TIMI 0–2 after PCI. The performance of the nomogram was evaluated, and the area under the curves (AUC) was 0.881 (95% CI: 0.8–0.961). Our nomogram exhibited better performance than a previous risk model (AUC = 0.7, 95% CI: 0.586–0.813) established by Brener et al. The survival curve successfully stratified the patients above and below the median score of 4.ConclusionA novel nomogram for predicting 30-day mortality was established in unselected patients undergoing PCI, which may help risk stratification in clinical practice.

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