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Published on: February 28, 2012
Stroke risk stratification in a "real-world" elderly anticoagulated atrial fibrillation population
Daniela Poli1, Gregory Yh Lip, Emilia Antonucci
1Department of Heart and Vessels, Thrombosis Center, Azienda Ospedaliero-Universitaria Careggi, Firenze, Italy.
Insights
Stroke risk stratification in atrial fibrillation (AF) patients is crucial for tailoring antithrombotic therapy. The CHA2DS2-VASc and CHADS2 scores demonstrated the best predictive value for thromboembolic events in a real-world elderly AF cohort.
Area of Science:
- Cardiology
- Neurology
- Geriatrics
Background:
- Effective stroke risk stratification is vital for optimizing antithrombotic therapy in patients with atrial fibrillation (AF).
- Real-world data is needed to evaluate the predictive accuracy of existing stroke risk classification schemes.
- Identifying high-risk AF patients, even those on optimal anticoagulation, remains a clinical challenge.
Purpose of the Study:
- To assess the predictive value of various stroke risk classification schemes in an elderly AF cohort.
- To identify patients with AF at substantial risk of stroke despite optimal anticoagulant therapy.
- To compare the performance of the CHA2DS2-VASc score against other contemporary risk schemas.
Main Methods:
- A cohort of 662 consecutive elderly AF patients was followed for a mean of 3.6 years.
- The incidence of thromboembolic (TE) events was recorded.
- The predictive ability of the CHA2DS2-VASc, CHADS2, NICE 2006, ACC/AHA/ESC 2006, and ACCP 2008 schemas was evaluated using c-statistics.
Main Results:
- Previous stroke/transient ischemic attack (TIA)/thromboembolism was the only independent predictor of TE events (OR 5.5).
- All assessed stroke risk schemas exhibited modest discriminating ability, with c-statistics ranging from 0.54 to 0.72.
- The CHA2DS2-VASc (0.724) and CHADS2 (0.717) schemes showed the highest predictive value and significant discrimination between risk strata.
Conclusions:
- Current stroke risk schemas have moderate predictive capabilities in real-world elderly AF patients.
- The CHA2DS2-VASc and CHADS2 scores demonstrated the best predictive performance for thromboembolism.
- Further research should explore alternative thromboprophylaxis strategies for high-risk anticoagulated patients identified by these scores.
Unlabelled:
Stroke Risk Stratification.
Introduction:
Appropriate stroke risk stratification is essential to ensure suitable tailoring of antithrombotic therapy. The objective of this study was to assess the predictive value of stroke risk classification schemes and to identify patients with atrial fibrillation (AF) who are at substantial risk of stroke despite optimal anticoagulant therapy, in a "real world" consecutive elderly AF cohort.
Methods:
Six hundred and sixty-two consecutive AF patients (mean [SD] age 74 [7.7] years; 36.1% female) referred to the Anticoagulation Clinic of the Azienda Ospedaliera Careggi of Florence, Italy, were included and followed-up for a mean 3.6 ± 2.7 years for the incidence of thromboembolic (TE) events. The ability of the new CHA(2) DS(2) -VASc schema to predict TE was compared with other contemporary stroke risk schema (including CHADS(2) , NICE 2006, ACC/AHA/ESC 2006, and ACCP 2008), by determining the c-statistic.
Results:
Univariate predictors of TE events were female gender (odds ratio 1.9; 95%CI [confidence intervals] 1.01-3.70) and previous stroke/transient ischemic attack (TIA)/TE (OR 5.6; 95%CI 2.70-11.45), although after adjustment only previous stroke/TIA/TE was an independent predictor of TE (OR 5.5; 95%CI 2.68-11.31; P = 0.0001). All stroke risk schema had modest discriminating ability, with c-statistics ranging from 0.54 (atrial fibrillation investigators [AFI]) to 0.72 (CHA(2) DS(2) -VASc). The CHADS(2) and CHA(2) DS(2) -VASc schemes having the best c-statistics (0.717 and 0.724, respectively) with significant discriminating value between risk strata (both P < 0.001). The proportion of patients assigned to individual risk categories varied widely across the schema, with those categorized as "moderate-risk" ranging from 5.3% (CHA(2) DS(2) -VASc) to 49.2% (CHADS(2) -classical).
Conclusion:
In this "real world" cohort, current published risk schemas have modest predictive ability, with the CHADS(2) and CHA(2) DS(2) -VASc schemes having the best predictive value for thromboembolism. Future trials could assess the value of alternative strategies for thromboprophylaxis in high-risk anticoagulated patients identified by these schemes.
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