Hughes Michael, Lip Gregory Y H
National Collaborating Center for Chronic Conditions, Royal College of Physicians, London, UK.
Thromb Haemost. 2008 Feb;99(2):295-304. doi: 10.1160/TH07-08-0508.
The risk of stroke in atrial fibrillation (AF) needs to be assessed in each patient to determine the clinical and cost-effectiveness of thromboprophylaxis, with the aim of appropriate use of antithrombotic therapy. To achieve this, stroke risk factors in AF populations need to be identified and stroke risk stratification models have been devised on the basis of these risk factors. In this article, we firstly provide a systematic review of studies examining the attributable stroke risk of various clinical, demographic and echocardiographic patient characteristics in AF populations. Secondly, we performed a systematic review of published stroke risk stratification models, in terms of the results of the review of stroke risk factors and their ability to accurately discriminate between different levels of stroke risk. Thirdly, we review the health economic evidence relating to the cost-effectiveness of anticoagulation and antiplatelet therapy as thromboprophylaxis in AF patients. The studies included in the systematic review of stroke risk factors identified history of stroke or TIA, increasing age, hypertension and structural heart disease (left-ventricular dysfunction or hypertrophy) to be good predictors of stroke risk in AF patients. The evidence regarding diabetes mellitus, gender and other patient characteristics was less consistent. Three stroke risk stratification models were identified that were able to discriminate between different categories of stroke risk to at least 95% accuracy. Few models had addressed the cumulative nature of risk factors where a combination of risk factors would confer a greater risk than either factor alone. In patients at high risk of stroke, anticoagulation is cost effective, but not for those with a low risk of stroke. With the evidence available for stroke risk factors and the various alternative stroke risk stratification models, a review of these models in terms of the evidence on which they are devised and their performance in representative AF populations is important. The appropriate administration of thromboprophylaxis in AF patients would need to balance the risks and benefits of antithrombotic therapy with its cost-effectiveness.
需要评估每位心房颤动(AF)患者的中风风险,以确定血栓预防的临床效果和成本效益,目的是合理使用抗血栓治疗。为实现这一目标,需要识别AF人群中的中风风险因素,并基于这些风险因素设计中风风险分层模型。在本文中,我们首先对研究AF人群中各种临床、人口统计学和超声心动图患者特征的可归因中风风险的研究进行系统综述。其次,根据中风风险因素综述结果及其准确区分不同中风风险水平的能力,我们对已发表的中风风险分层模型进行了系统综述。第三,我们回顾了与AF患者血栓预防中抗凝和抗血小板治疗成本效益相关的卫生经济证据。中风风险因素系统综述中纳入的研究确定,中风或短暂性脑缺血发作病史、年龄增加、高血压和结构性心脏病(左心室功能障碍或肥厚)是AF患者中风风险的良好预测指标。关于糖尿病、性别和其他患者特征的证据不太一致。确定了三种中风风险分层模型,它们能够以至少95%的准确率区分不同类别的中风风险。很少有模型考虑到风险因素的累积性质,即风险因素组合会比单一因素带来更大的风险。在中风高风险患者中,抗凝具有成本效益,但对中风低风险患者则不然。鉴于现有中风风险因素和各种替代中风风险分层模型的证据,根据其设计依据的证据及其在代表性AF人群中的表现对这些模型进行综述很重要。AF患者血栓预防的合理管理需要在抗血栓治疗的风险和益处与其成本效益之间取得平衡。