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World Journal of Clinical Cases
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2307-8960
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study
©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jul 16, 2021; 9(20): 5453-5461
Published online Jul 16, 2021. doi: 10.12998/wjcc.v9.i20.5453
Prediction of presence and severity of coronary artery disease using prediction for atherosclerotic cardiovascular disease risk in China scoring system
Xu-Lin Hong, Hao Chen, Ya Li, Hema Darinee Teeroovengadum, Guo-Sheng Fu, Wen-Bin Zhang
Xu-Lin Hong, Hao Chen, Ya Li, Hema Darinee Teeroovengadum, Guo-Sheng Fu, Wen-Bin Zhang, Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
Xu-Lin Hong, Hao Chen, Ya Li, Hema Darinee Teeroovengadum, Guo-Sheng Fu, Wen-Bin Zhang, Department of Cardiology, Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou 310016, Zhejiang Province, China
Hao Chen, Department of Cardiology, Shengzhou People’s Hospital (The First Affiliated Hospital of Zhejiang University Shengzhou Branch), Shaoxing 312400, Zhejiang Province, China
Author contributions: Hong XL and Chen H performed data collection and manuscript drafting and revision; Li Y performed data analysis and interpretation; Teeroovengadum HD performed language editing; Zhang WB and Fu GS performed study design and supervision; all authors have read and approved the manuscript.
Institutional review board statement: This single center cross-sectional study was approved by hospital ethics committee of Sir Run Run Shaw Hospital (No. 20200224-32).
Informed consent statement: Informed consent was waived.
Conflict-of-interest statement: The authors declare that they have no conflict of interest to disclose.
Data sharing statement: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Corresponding author: Wen-Bin Zhang, PhD, Attending Doctor, Postdoctoral Fellow, Professor, Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, No. 3 East Qinchun Road, Hangzhou 310016, Zhejiang Province, China. 3313011@zju.edu.cn
Received: March 11, 2021
Peer-review started: March 12, 2021
First decision: April 24, 2021
Revised: April 26, 2021
Accepted: May 7, 2021
Article in press: May 7, 2021
Published online: July 16, 2021
Processing time: 117 Days and 20.8 Hours
Abstract
BACKGROUND

Coronary artery disease (CAD) is one of the leading causes of death and disease burden in China and worldwide. A practical and reliable prediction scoring system for CAD risk and severity evaluation is urgently needed for primary prevention.

AIM

To examine whether the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) scoring system could be used for this purpose.

METHODS

A total of 6813 consecutive patients who underwent diagnostic coronary angiography were enrolled. The China-PAR score was calculated for each patient and CAD severity was assessed by the Gensini score (GS).

RESULTS

Correlation analysis demonstrated a significant relationship between China-PAR and GS (r = 0.266, P < 0.001). In receiver operating characteristic curve analysis, the cut-off values of China-PAR for predicting the presence and the severity of CAD were 7.55% with a sensitivity of 55.8% and specificity of 71.8% [area under the curve (AUC) = 0.693, 95% confidence interval: 0.681 to 0.706, P < 0.001], and 7.45% with a sensitivity of 58.8% and specificity of 67.2% (AUC = 0.680, 95% confidence interval: 0.665 to 0.694, P < 0.001), respectively.

CONCLUSION

The China-PAR scoring system may be useful in predicting the presence and severity of CAD.

Keywords: Coronary artery disease; Prediction for atherosclerotic cardiovascular disease risk in China; Scoring system; Coronary angiography; Gensini score; Retrospective study

Core Tip: Very few researchers have focused on the validity of risk score models in predicting the severity of coronary artery disease. In our study, a total of 6813 consecutive patients who underwent diagnostic coronary angiography were enrolled. The prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) score was calculated for each patient and coronary artery disease severity was assessed by the Gensini score. Finally, the China-PAR scoring system was discovered to be applicable in the estimation of both the presence and severity of coronary artery disease in addition to their role in predicting cardiovascular events.
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