Establishment and validation of a risk prediction model for adverse drug reactions in patients with coronary heart disease after taking statins: a retrospective study

A nomogram-based risk prediction model was successfully developed to estimate the probability of statin-induced ADR in patients with CHD, based on a set of statistically significant clinical risk factors. The model exhibited favorable predictive accuracy and discrimination. It offers a practical tool for clinicians to identify high-risk individuals and implement early preventive or interventional strategies accordingly.

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Publication Details

Journal
PeerJ
Published
2025-07-01
DOI
https://doi.org/10.7717/peerj.19630
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
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article

Establishment and validation of a risk prediction model for adverse drug reactions in patients with coronary heart disease after taking statins: a retrospective study

Xiaojuan Zhou, Lixiang Zhang, Jiaoyu Cao
PeerJ
Lipoproteins and Cardiovascular Health
article

Establishment and validation of a risk prediction model for adverse drug reactions in patients with coronary heart disease after taking statins: a retrospective study

Xiaojuan Zhou, Lixiang Zhang, Jiaoyu Cao
article en

Abstract

A nomogram-based risk prediction model was successfully developed to estimate the probability of statin-induced ADR in patients with CHD, based on a set of statistically significant clinical risk factors. The model exhibited favorable predictive accuracy and discrimination. It offers a practical tool for clinicians to identify high-risk individuals and implement early preventive or interventional strategies accordingly.

PeerJVol. 13
University of Science and Technology of China (CN)
Reduced inequalities
Openalex Percentile: Top 73%
Lipoproteins and Cardiovascular Health
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