Analysis of Cardiovascular Disease Risk Assessment Tools and Coronary Artery Diseases

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Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/101032

Title:	Analysis of Cardiovascular Disease Risk Assessment Tools and Coronary Artery Diseases
Authors:	HE, JIN-MAN
Contributors:	健康產業管理學系健康管理組碩士在職專班
Keywords:	cardiovascular disease risk assessment;coronary artery stenosis;coronary artery calcification
Date:	2016
Issue Date:	2016-08-19 03:31:00 (UTC+0)
Publisher:	亞洲大學
Abstract:	Background: Cardiovascular disease remains the 2nd leading cause of death in Taiwan; however, the earlier people at a higher risk of cardiovascular disease start to reduce the risk factors of cardiovascular disease, the lower their chance of developing coronary artery diseases (CAD) or of death will be. As a result, finding out a more effective cardiovascular disease risk assessment tool is critical for people at a higher risk of cardiovascular disease. Purpose: This study is to analyze the relationship between two cardiovascular disease risk assessment tools and CAD in Taiwan. Methods: This study is a cross-sectional study, in which 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: Framingham Coronary Heart Disease Risk Score (version 2008) and Pooled Cohort Equations 10-year ASCVD Risk Estimator. And then, the data were categorized into three groups: (1) patients with stenosis of one coronary artery blood vessel≧50%, (2) patients with coronary artery calcification ≧400, and (3) patients with either stenosis of one coronary artery blood vessel≧50% or coronary artery calcification≧400 and analyzed with logistic regression and receiver operating characteristic curve (ROC curve) methods. Results: Both logistic regression analysis and the ROC 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<0.000，OR=1.06，95%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.
Appears in Collections:	[Healthcare Division] Theses & dissertations

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