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 .
Stroke with intermittent atrial fibrillation: incidence and predictors during aspirin therapy. Stroke Prevention in Atrial Fibrillation Investigators.
OBJECTIVE This study was performed to characterize the risk of stroke in elderly patients with recurrent intermittent atrial fibrillation ( AF ) . BACKGROUND Although intermittent AF is common , relatively little is known about the attendant risk of stroke . METHODS A longitudinal cohort study was performed comparing 460 participants with intermittent AF with 1,552 with sustained AF treated with aspirin in the Stroke Prevention in Atrial Fibrillation studies and followed for a mean of two years . Independent risk factors for ischemic stroke were identified by multivariate analysis . RESULTS Patients with intermittent AF were , on average , younger ( 66 vs. 70 years , p < 0.001 ) , were more often women ( 37 % vs. 26 % p < 0.001 ) and less often had heart failure ( 11 % vs. 21 % , p < 0.001 ) than those with sustained AF . The annualized rate of ischemic stroke was similar for those with intermittent ( 3.2 % ) and sustained AF ( 3.3 % ) . In patients with intermittent AF , independent predictors of ischemic stroke were advancing age ( relative risk [ RR ] = 2.1 per decade , p < 0.001 ) , hypertension ( RR = 3.4 , p = 0.003 ) and prior stroke ( RR = 4.1 , p = 0.01 ) . Of those with intermittent AF predicted to be high risk ( 24 % ) , the observed stroke rate was 7.8 % per year ( 95 % confidence interval 4.5 to 14 ) . CONCLUSIONS In this large cohort of AF patients given aspirin , those with intermittent AF had stroke rates similar to patients with sustained AF and similar stroke risk factors . Many elderly patients with recurrent intermittent AF have substantial rates of stroke and likely benefit from anticoagulation . High-risk patients with intermittent AF can be identified using the same clinical criteria that apply to patients with sustained AF
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 .