Using the combination of traditional risk factors and quantitative coronary angiography (QCA )in predicting the risk of individuals with subclinical artherosclerosis
10.3760/cma.j.issn.0254-6450.2010.12.013
- VernacularTitle:联合应用定量冠状动脉造影和心血管病危险因素筛选高危临界病变患者的初步研究
- Author:
Guo-Zhong WANG
1
;
Shu-Zheng LV
;
Jing-Hua LIU
;
Yun-Dai CHEN
;
Yong HUO
;
Wei GAO
;
Wei-Min WANG
;
Fang CHEN
;
Yu-Jie ZHOU
;
Zhi-Zhong LI
;
Yuan-Nan KE
;
Xin-Chun YANG
;
Shu-Yang ZHANG
;
Hong-Bing YAN
;
Hong-Wei LI
;
Da-Zhuo SHI
;
Bu-Xing CHEN
Author Information
1. 首都医科大学附属北京安贞医院
- Keywords:
Coronary heart disease;
Subclinical artherosclerosis lesions;
Risk factors;
Quantitative coronary angiography
- From:
Chinese Journal of Epidemiology
2010;31(12):1383-1388
- CountryChina
- Language:Chinese
-
Abstract:
Objective To determine whether the combination of traditional risk factors and quantitative coronary angiography (QCA) assessment could provide accurate prognostic information on a population-based study including 1137 adults with subclinical artherosclerosis and with coronary risk factors. Methods Participants underwent coronary angiography examination before the minimal stenotic diameters, segment diameters, percent stenosis, plaque areas. Other parameters were analyzed by the computer-assisted Coronary Angiography Analysis System. The Framingham Risk Score for each participant was assessed. During the 1 year follow-up period, all kinds of endpoint cardiovascular events were screened. Endpoint events were defined as death from coronary heart disease, nonfatal myocardial infarction (MI) or unstable angina pectoris. Results During the 1 year of follow-up period, a total of 124 participants developed an endpoint event, which was significantly associated with the Framingham Risk Score, calcium of plaques and the plaque areas (all Ps＜0.05).The QCA score incorporated with the QCA parameters was related to the endpoint events. The Framingham Risk Score was combined with QCA score through logistic regression for prediction of end-point events. Data from the ROC analysis showed the accuracy of this prediction algorithm was superior to the accuracy when variables themselves were used. The event-free survival rate was inferior to the control group in participates under high risk, when being screened with this prediction algorithm (P＜0.05). Conclusion The risk of cardiovascular attack in subclinical artherosclerosis individual seemed to be associated with the Framingham Risk Score, calcium of plaques and the plaque areas. When the traditional risk factors (the Framingham Risk Score) were combined with QCA, the new method could provide more prognostic information on those adults with subclinical artherosclerosis.
