Development and validation of a risk prediction model for adverse outcomes in patients with suspected coronary artery disease and no significant stenosis on angiography: a retrospective cohort study

This predictive model integrates routinely available clinical parameters to accurately stratify mortality and cardiovascular risk in ANOCA patients, providing a potential valuable decision-support tool for personalised therapeutic strategies.

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Publication Details

Journal
BMJ Open
Published
2025-05-01
DOI
https://doi.org/10.1136/bmjopen-2024-092614
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Development and validation of a risk prediction model for adverse outcomes in patients with suspected coronary artery disease and no significant stenosis on angiography: a retrospective cohort study

Xue Wu, Jingkun Zhang, Kang‐Yin Chen, Seung‐Woon Rha et al.
BMJ Open
Cardiac Imaging and Diagnostics
article

Development and validation of a risk prediction model for adverse outcomes in patients with suspected coronary artery disease and no significant stenosis on angiography: a retrospective cohort study

Xue Wu, Jingkun Zhang, Kang‐Yin Chen, Seung‐Woon Rha, Zheng-Kai Xue, Tianshu Gu, Tong Liu, Yukun Zhang, Lei Zhu, Su‐Tao Hu
article en

Abstract

This predictive model integrates routinely available clinical parameters to accurately stratify mortality and cardiovascular risk in ANOCA patients, providing a potential valuable decision-support tool for personalised therapeutic strategies.

BMJ OpenVol. 15(5)
University of California, San Francisco (US), Korea University Medical Center (KR), Second Hospital of Tianjin Medical University (CN), Global Brain Health Institute (US), Tianjin Medical University (CN)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 85%
Cardiac Imaging and Diagnostics
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