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The ABC-Stroke Risk Score and Effects of Atrial Fibrillation Screening on Stroke Prevention: Results From the
Lucas Yixi Xing1,2, Søren Zöga Diederichsen1,3, Søren Højberg3
1Department of Cardiology Copenhagen University Hospital-Rigshospitalet Copenhagen Denmark.
The ABC-stroke score identifies higher stroke risk in elderly individuals without atrial fibrillation (AF). However, it may not effectively guide AF screening or preventive treatment decisions.
Area of Science:
- Cardiology
- Preventive Medicine
- Clinical Risk Stratification
Background:
- The ABC-stroke score is a validated tool for predicting stroke or systemic embolism (SE) in patients with atrial fibrillation (AF).
- Its utility in AF-naïve individuals and for guiding AF screening remains to be fully elucidated.
Purpose of the Study:
- To evaluate the ABC-stroke score's effectiveness in predicting stroke in AF-naïve individuals.
- To assess its utility in risk stratifying for AF screening in this population.
Main Methods:
- Secondary analysis of the LOOP study (NCT02036450), which randomized 6004 AF-naïve individuals (aged 70-90) with stroke risk factors.
- Participants were assigned to either continuous ECG monitoring with an implantable loop recorder or usual care.
- ABC-stroke score at baseline was used to stratify participants into risk groups (≤1%/year vs. >1%/year).
Main Results:
- A higher ABC-stroke score (>1% annual risk) was associated with increased risk of stroke/SE, stroke/SE/cardiovascular death, and all-cause death.
- No significant reduction in these outcomes was observed with implantable loop recorder screening versus usual care across any ABC-stroke risk strata.
- No significant interaction was found between screening strategy and ABC-stroke risk score.
Conclusions:
- In elderly, AF-naïve individuals with stroke risk factors, the ABC-stroke score can identify those at higher risk of stroke.
- The score's ability to pinpoint individuals who would benefit most from AF screening and subsequent preventive treatment is limited.
- These findings are hypothesis-generating and suggest a need for further research.
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