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

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

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=Volume 9 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2022.897020

DOI=10.3389/fcvm.2022.897020

ISSN=2297-055X

ABSTRACT=Background & Aims: Early detection of mortality after percutaneous coronary intervention (PCI) is crucial, whereas most risk prediction models are based on outdated cohorts before 2000. This study aims to establish a nomogram predicting 30-day mortality after PCI.
Methods: Totally 10444 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 stepwise backward method.
Results: Five features were selected to build the nomogram, including age, male sex, cardiac dysfunction, STEMI and TIMI0-2 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 a better performance than a previous risk model (AUC=0.7, 95% CI: 0.586-0.813) established by Brener et al. And the survival curve successfully stratified the patients above and below the median score of 4.
Conclusion: A novel nomogram for predicting 30-day mortality was established in unselected patients undergoing PCI, which may help risk stratification of patients in clinical practice.