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Updated: Jan 23, 2026

Robotic Ablation of Atrial Fibrillation
Published on: May 29, 2015
CHA2DS2-VASc score can guide the screening of atrial fibrillation - cross-sectional study in a geriatric ward
Zyta Beata Wojszel1,2, Agnieszka Kasiukiewicz1,2, Marta Swietek2,3
1Department of Geriatrics, Medical University of Bialystok, Bialystok, Poland.
Insights
Atrial fibrillation (AF) is often silent and diagnosed late. In geriatric patients, congestive heart failure, older age, and prior stroke are key predictors, suggesting CHA2DS2-VASc score utility for screening.
Area of Science:
- Cardiology
- Geriatrics
- Epidemiology
Background:
- Atrial fibrillation (AF) is a common arrhythmia linked to stroke, heart failure, and mortality.
- Silent AF often leads to delayed diagnosis and treatment.
- Identifying predictors in geriatric populations is crucial for effective screening strategies.
Purpose of the Study:
- To identify independent determinants of atrial fibrillation in hospitalized geriatric patients.
- To evaluate the potential of existing risk scores for AF screening in this demographic.
Main Methods:
- A cross-sectional cohort study was conducted on geriatric ward patients.
- Prevalence of AF and associated health factors were assessed.
- Multivariable logistic regression and ROC curve analysis were employed to identify predictors and evaluate screening tool performance.
Main Results:
- Out of 416 patients, 98 (23.6%) had AF.
- Independent predictors for AF included congestive heart failure (OR 5.43), age 75+ (OR 4.0), and prior stroke/TIA (OR 2.1).
- The CHA2DS2-VASc score demonstrated significant predictive performance (ROC-AUC 0.75), with a cutoff of 4+ indicating high AF risk.
Conclusions:
- Congestive heart failure, advanced age, and a history of stroke/TIA are significant independent predictors of AF in geriatric patients.
- The CHA2DS2-VASc score shows promise as a screening tool for AF in primary prevention populations.
- Further research is needed to validate the CHA2DS2-VASc score for guiding AF surveillance intensity.
Abstract:
Purpose: Atrial fibrillation (AF) is an increasingly common rhythm disorder and an important risk factor of ischemic stroke, heart failure, hospitalization, and cardiovascular mortality. Its diagnosis, however, is often delayed because of silent character of the arrhythmia. The aim of the study was to identify independent determinants of AF in patients of the geriatric ward, so as to be able to propose a strategy for screening of this arrhythmia. Methods: Cross-sectional cohort study of patients admitted to the department of geriatrics was conducted. The prevalence of AF and its health correlates (including AF recognized risk factors) was assessed. Relative risks were calculated and multivariable logistic regression analysis model was built. The predictive performance was evaluated using receiver-operating characteristic (ROC) curve analysis. Results: There were 416 patients hospitalized in the study period and 98 (23.6%) presented with AF. The independent predictors with top 3 strongest association with AF were congestive heart failure (OR 5.43; 95%CI 3.14-9.39; P<0.001), age of 75+years (OR 4.0; 95% CI 1.43-11.2; P=0.008), and previous history of stroke or transient ischemic attack (OR 2.1; 95% CI 1.06-4.13; P=0.03). ROC analysis showed CHA2DS2-VASc scale significance as a screening tool for AF (ROC-AUC 0.75; 0.7-0.8; P<0.001), with the value of 4 or more as the best cut-off point. Conclusions: Based on CHA2DS2-VASc score the intensity of surveillance for AF at a primary prevention population level could be probably guided, but it requires further research.
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