CHA2DS2-VASc-HSF score - New predictor of severity of coronary artery disease in 2976 patients

被引:25
作者
Modi, Ranjan [1 ]
Patted, S. V.
Halkati, P. C.
Porwal, Sanjay
Ambar, Sameer
Prasad, M. R.
Metgudmath, Vijay
Sattur, Ameet
机构
[1] KLEs Dr Prabhakar Kore Hosp, Dept Cardiol, Belgaum 590010, Karnataka, India
关键词
Coronary heart disease; CHA2DS2-VASc-HSF SCORE; Gensini score; Coronary angiography; CARDIOVASCULAR-DISEASE; HEART-DISEASE; 10-YEAR RISK; VALIDATION; GUIDELINES; STROKE; HEALTH;
D O I
10.1016/j.ijcard.2016.10.093
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: CHADS2 and CHA2DS2-VASc scores have been used for assessing prognostic risk of thromboembolism in non valvular atrial fibrillation patients. They include similar risk factors for the development of CAD To increase the likelihood of determining CAD severity, the CHA2DS2-VASc-HS and CHA2DS2-VASc-HSF score comprising of hyperlipidemia, smoking and family history respectively in addition to the components of the CHA2DS2-VASc score and male instead of female gender. The aim was to investigate whether these risk scores can be used to predict CAD severity. Methods and results: A total of 2976 consecutive patientswho underwent coronary angiographywere enrolled in the study. Presence of >50% stenosis in a coronary artery was assessed as significant CAD. Of the patients, 804 had normal coronary angiograms and served as group 1. The remaining 2172 patients with coronary stenosis were further classified into 2 groups according to CAD with stenosis of <50% or > 50%: 834 patients with mild CAD as group 2 and 1338 patients with severe CAD as group 3. The scores were significantly different among the 3 groups. All the four scores correlated significantly with the number of diseased and the Gensini score. Conclusion: CHADS2, CHA2DS2-VASc, and especially CHA2DS2-VASc-HS and CHA2DS2-VASc-HSF scores could be considered predictive of the risk of severe CAD with CHA2DS2-VASc-HSF the best scoring scheme to predict CAD severity. The risk scoring systems may play an important role as predictive models because they are simple and can be easily applied by physicians without any additional costs in routine practice. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:1002 / 1006
页数:5
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