Hong XL, Chen H, Li Y, Teeroovengadum HD, Fu GS, Zhang WB. Prediction of presence and severity of coronary artery disease using prediction for atherosclerotic cardiovascular disease risk in China scoring system. World J Clin Cases 2021; 9(20): 5453-5461 [PMID: 34307599 DOI: 10.12998/wjcc.v9.i20.5453]
Corresponding Author of This Article
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
Research Domain of This Article
Cardiac & Cardiovascular Systems
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
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.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
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
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.
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.
