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Published on: February 26, 2013
A comparison of risk stratification schemes for stroke in 79,884 atrial fibrillation patients in general practice
T P Van Staa1, E Setakis, G L Di Tanna
1General Practice Research Database, Medicines and Healthcare Products Regulatory Agency, London, UK. g.y.h.lip@bham.ac.uk
Insights
Stroke risk stratification in atrial fibrillation (AF) patients using 15 schemes showed modest predictive value. The CHA2DS2-VASc score may better identify low-risk individuals, simplifying treatment decisions for stroke prevention.
Area of Science:
- Cardiology
- Neurology
- Pharmacology
Background:
- Individualized anticoagulation is crucial for atrial fibrillation (AF) patients based on ischemic stroke risk.
- Evaluating existing stroke risk stratification schemes in real-world UK clinical practice is essential.
Purpose of the Study:
- To compare the predictive accuracy of 15 published stroke risk stratification schemes in UK AF patients.
- To assess the performance of these schemes in identifying patients at different risk levels for stroke.
Main Methods:
- Analysis of 79,844 AF patients from the UK General Practice Research Database.
- Utilized c-statistics to evaluate the predictive ability of each scheme for stroke events, hospitalizations, and stroke-related deaths.
- Examined the distribution of patients across risk categories for each scheme.
Main Results:
- All 15 schemes demonstrated modest predictive ability for stroke events (c-statistics 0.55-0.69).
- Predictive ability varied for stroke hospitalizations (0.56-0.69) and stroke-related deaths (0.56-0.78).
- The CHA2DS2-VASc scheme, along with modified CHADS2 and NICE guidelines, effectively identified truly low-risk patients (annual stroke events < 0.5%).
Conclusions:
- Current stroke risk schemes for AF patients offer only modest predictive value.
- The CHA2DS2-VASc scheme shows promise in accurately identifying low-risk individuals and reducing intermediate/moderate risk classifications.
- This improved stratification can simplify decision-making for thromboprophylaxis in AF patients.
Background:
Anticoagulation management of patients with atrial fibrillation (AF) should be tailored individually on the basis of ischemic stroke risk. The objective of this study was to compare the predictive ability of 15 published stratification schemes for stroke risk in actual clinical practice in the UK.
Methods:
AF patients aged ≥ 18 years in the General Practice Research Database, which contains computerized medical records, were included. The c-statistic was estimated to determine the predictive ability for stroke for each scheme. Outcomes included stroke, hospitalizations for stroke, and death resulting from stroke (as recorded on death certificates).
Results:
The study cohort included 79,844 AF patients followed for an average of 4 years (average of 2.4 years up to the start of warfarin therapy). All risk schemes had modest discriminatory ability in AF patients, with c-statistics for predicting events ranging from 0.55 to 0.69 for strokes recorded by the general practitioner or in hospital, from 0.56 to 0.69 for stroke hospitalizations, and from 0.56 to 0.78 for death resulting from stroke as reported on death certificates. The proportion of patients assigned to individual risk categories varied widely across the schemes, with the proportion categorized as moderate risk ranging from 12.7% (CHA(2) DS(2)-VASc) to 61.5% (modified CHADS(2)). Low-risk subjects were truly low risk (with annual stroke events < 0.5%) with the modified CHADS(2), National Institute for Health and Clinical Excellence and CHA(2) DS(2) -VASc schemes.
Conclusion:
Current published risk schemes have modest predictive value for stroke. A new scheme (CHA(2) DS(2) -VASc) may discriminate those at truly low risk and minimize classification of subjects as intermediate/moderate risk. This approach would simplify our approach to stroke risk stratification and improve decision-making for thromboprophylaxis in patients with AF.
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