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 Processing time: 117 Days and 20.8 Hours
ARTICLE HIGHLIGHTS
Research background
A practical and reliable prediction scoring system for coronary artery disease (CAD) risk and severity evaluation is lacking.
Research motivation
Very few researchers have focused on the validity of the risk score models in predicting the severity of CAD.
Research objectives
To evaluate the utility of the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) scoring system in assessing the severity of CAD in the Chinese population.
Research methods
The China-PAR score and Gensini score (GS) were calculated for each enrolled patient. Thereafter, correlation analysis and receiver operating characteristic curve analysis were performed.
Research results
The China-PAR score was positively associated with the GS.
Research conclusions
The China-PAR scoring system is applicable in the estimation of both the presence and severity of coronary artery disease.
Research perspectives
A multicenter prospective study should be performed to further confirm the utility of the China-PAR score in assessing the severity of CAD in the Chinese population.
