Analysis of Cardiovascular Disease Risk Assessment Tools and Coronary Artery Diseases

Monday, 30 October 2017: 3:45 PM

Jin-Man He, MS
department of nursing, China Medical University Hospital, Taichung, Taiwan
Jun-Dai Lin, PhD, MSN
Department of Nursing, Asia University, Taichung, Taiwan

Purpose: The purpose of this study is to analyze the relationship between Coronary artery disease severity and cardiovascular disease, by using two cardiovascular disease risk assessment tools to predict the risk assessment of relevance of Coronary Artery Disease (CAD) patient in Taiwan.

Methods: This study is a cross-sectional study, analyze the records of patients’ chart, who were come from a medical center in central Taiwan for checkup the coronary artery stenosis and calcification. The records of 438 checkup patients who also do a 640 multi-detector-row computed tomography examination were collected and estimated by two cardiovascular disease risk assessment tools: The Framingham Coronary Heart Disease Risk Score, version 2008 (FCHDRS 2008) and the Pooled Cohort Equations 10-year Atherosclerotic Cardiovascular Disease (ASCVD) Risk Estimator. And then, the data were categorized into three groups: (1) patients with stenosis of one coronary artery blood vessel50%, (2) patients with coronary artery calcification 400, and (3) patients with either stenosis of one coronary artery blood vessel50% or coronary artery calcification400 and analyzed with logistic regression and Receiver Operating Characteristic curve (ROC curve) methods.

Results: There are 100 (22.8%) participants in 438 with artery stenosis50%, and 75(17.1%) with calcification100 score. The risk assessment by FCHDR 2008 are as follow: 213(49.2%) participants have low-middle risk, 129 (29.7%) participants have middle risk, and 92(21.1%) participants have high risk. While the risk assessment by ASCVD are: 266(60.7%) have middle risk, and 169(38.6%) have high risk. Male are more prone to coronary artery stenosis calcification than female. Both logistic regression analysis and the ROC curve analysis show the 10-year ASCVD Risk Estimator has a higher correlation with all the three groups than Framinghan risk scores ( logistic regression analysis: P<0.000OR=1.0695%CI=1.00-1.12; ROC analysis: AUC = 0.709).

Conclusion: Pooled Cohort Equations 10-year ASCVD Risk Estimator is the most effective risk assessment tool to predict coronary artery disease risks for people in Taiwan.