A nomogram for predicting intraoperative risk during primary percutaneous coronary intervention based on rapidly obtained data from ST-segment elevation myocardial infarction patients

A nomogram was developed to rapidly predict intraoperative MACE risk during PCI in STEMI patients before surgery. By enabling early identification of high-risk individuals, this model enhances clinical decision-making, potentially improving patient outcomes and procedural efficiency.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-02-12
DOI
https://doi.org/10.3389/fcvm.2026.1691709
Primary Topic
Cardiac and Coronary Surgery Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A nomogram for predicting intraoperative risk during primary percutaneous coronary intervention based on rapidly obtained data from ST-segment elevation myocardial infarction patients

Yejia Chen, Xiaobo Li, Y G Wang, Xi Chen et al.
Frontiers in Cardiovascular Medicine
Cardiac and Coronary Surgery Techniques
article

A nomogram for predicting intraoperative risk during primary percutaneous coronary intervention based on rapidly obtained data from ST-segment elevation myocardial infarction patients

Yejia Chen, Xiaobo Li, Y G Wang, Xi Chen, Yu Chen, Lei Li, Kaile Zhao, Liu Hua, Jiancheng Xiu, Haoran Shou, Yiming Tao
article en

Abstract

A nomogram was developed to rapidly predict intraoperative MACE risk during PCI in STEMI patients before surgery. By enabling early identification of high-risk individuals, this model enhances clinical decision-making, potentially improving patient outcomes and procedural efficiency.

Frontiers in Cardiovascular MedicineVol. 13
Central South University (CN), Nanchang University (CN), Hunan Normal University (CN), Xiangya Hospital Central South University (CN), First Affiliated Hospital of Nanchang University (CN), Southern Medical University (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 58%
Cardiac and Coronary Surgery Techniques
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A nomogram for predicting intraoperative risk during primary percutaneous coronary intervention based on rapidly obtained data from ST-segment elevation myocardial infarction patients — Yejia Chen, Xiaobo Li, et al. · Frontiers in Cardiovascular Medicine (2026) | TGRS Research Map | TGRS