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 .
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 population s 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 population s. 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 .
Assessment of three schemes for stratifying stroke risk in patients with nonvalvular atrial fibrillation.
PURPOSE The risk of ischemic stroke varies widely among patients with nonvalvular atrial fibrillation , influencing the choice of prophylactic antithrombotic therapy . We assessed three schemes for stroke risk stratification in these patients who were treated with aspirin and who did not have prior cerebral ischemia . SUBJECTS AND METHODS Criteria from three schemes of risk stratification were applied to a longitudinally observed cohort of patients with atrial fibrillation who did not have prior cerebral ischemia and who were treated with aspirin alone or aspirin combined with low , ineffective doses of warfarin in a multicenter clinical trial . The ability of the schemes to identify patients at high ( > /=6 % ) , low ( < /=2 % ) , and intermediate annual risks of ischemic stroke was assessed . RESULTS During a mean follow-up of 1.8 years , 48 ischemic strokes occurred among 1,073 patients with atrial fibrillation who were taking aspirin ( rate = 2.5 per 100 person-years ) . Each of the three schemes predicted stroke and disabling stroke , and successfully identified patients at low risk ( observed stroke rates of 0.3 to 1.1 per 100 person-years ) , although the fractions of the cohort that were categorized as low risk varied from 14 % to 45 % . The observed rates of ischemic stroke among patients categorized as high risk ranged from 3.5 to 7.2 per 100 person-years among the stratification schemes . Two schemes considered all patients > 75 years old as high risk ( observed stroke rate 4.2 per 100 person-years ) , while the remaining scheme classified one third of patients in this age group as low risk ( observed stroke rate 0.6 per 100 person-years ) . CONCLUSIONS When tested in a large cohort of patients with atrial fibrillation who were treated with aspirin  , available risk-stratification schemes successfully identified patients with low rates of ischemic stroke , but less consistently identified high-risk patients
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 .
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 population s 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 population s. 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 .