Observational studyEuropean journal of neurology2022
Predicting atrial fibrillation after cryptogenic stroke via a clinical risk score-a prospective observational study.
Observational study in European journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Risk Stratification Tools to Guide a Personalized Approach for Cardiac Monitoring in Embolic Stroke of Undetermined Source.Journal of the American Heart Association · 2023Pooled it
- Atrial cardiopathy biomarkers and atrial fibrillation in the ARCADIA trial.European stroke journal · 2025Trial
- Atrial fibrillation detection after embolic stroke of undetermined source: Development and validation of the CATCH-AF score.International journal of stroke : official journal of the International Stroke Society · 2026Article
- Predicting Incident Atrial Fibrillation after Stroke: A Scoping Review of Clinical Scores, Biomarkers, and AI-Enhanced Strategies.Cerebrovascular diseases extra · 2026Article
- Multiparametric assessment of atrial cardiopathy in cryptogenic stroke patients: Implications for personalized clinical management.European stroke journal · 2026Article
- Early Prediction of Paroxysmal Atrial Fibrillation in Patients With Acute Stroke Using the BANQMR Score.Journal of clinical neurology (Seoul, Korea) · 2025Article
- Multiparametric assessment of atrial cardiopathy in cryptogenic stroke patients: Implications for personalized clinical management.European stroke journal · 2025Article
- Factors associated with the detection of atrial fibrillation in patients with embolic stroke of undetermined source.BMC neurology · 2025Article
- Review
- Diagnostic Utility of N-Terminal Pro-B-Type Natriuretic Peptide in Identifying Atrial Fibrillation Post-Cryptogenic Stroke: A Systematic Review and Meta-Analysis.Pathophysiology : the official journal of the International Society for Pathophysiology · 2024Article
- Risk scores for prediction of paroxysmal atrial fibrillation after acute ischemic stroke or transient ischemic attack: A systematic review and meta-analysis.International journal of cardiology. Cardiovascular risk and prevention · 2024Review
- Cardiac Blood-Based Biomarkers of Myocardial Stress as Predictors of Atrial Fibrillation Development in Patients With Embolic Stroke of Undetermined Source/Cryptogenic Stroke: A Systematic Review and Meta-Analysis.Journal of clinical neurology (Seoul, Korea) · 2024Article
- A Simple Score for Predicting Paroxysmal Atrial Fibrillation in Patients with Embolic Stroke of Undetermined Source in a Tunisian Cohort Study.Current neurovascular research · 2024Article
- Predictors of atrial fibrillation detection in embolic stroke of undetermined source patients with implantable loop recorder.Frontiers in cardiovascular medicine · 2024Article
- Prediction of underlying atrial fibrillation in patients with a cryptogenic stroke: results from the NOR-FIB Study.Journal of neurology · 2023Observational
- Searching for atrial fibrillation post stroke: is it time for digital devices?Frontiers in cardiovascular medicine · 2023Review
- External Validation of SAFE Score to Predict Atrial Fibrillation Diagnosis after Ischemic Stroke: A Retrospective Multicenter Study.Stroke research and treatment · 2023Article
- Association of Chronic Covert Cerebral Infarctions and White Matter Hyperintensities With Atrial Fibrillation Detection on Post-Stroke Cardiac Rhythm Monitoring: A Cohort Study.Journal of the American Heart Association · 2022Article
- Liver Fibrosis-4 index indicates atrial fibrillation in acute ischemic stroke.European journal of neurology · 2022Article
- Development of a Score to Predict the Paroxysmal Atrial Fibrillation in Stroke Patients: The Screening for Atrial Fibrillation Scale.Frontiers in neurology · 2022Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeAtrial fibrillation (AF) often remains undiagnosed in cryptogenic stroke (CS), mostly because of limited availability of cardiac long-term rhythm monitoring. There is an unmet need for a pre-selection of CS patients benefitting from such work-up. A clinical risk score was therefore developed for the prediction of AF after CS and its performance was evaluated over 1 year of follow-up.
methodsOur proposed risk score ranges from 0 to 16 points and comprises variables known to be associated with occult AF in CS patients including age, N-terminal pro-brain natriuretic peptide, electrocardiographic and echocardiographic features (supraventricular premature beats, atrial runs, atrial enlargement, left ventricular ejection fraction) and brain imaging markers (multi-territory/prior cortical infarction). All CS patients admitted to our Stroke Unit between March 2018 and August 2019 were prospectively followed for AF detection over 1 year after discharge.
resultsDuring the 1-year follow-up, 24 (16%) out of 150 CS patients with AF (detected via electrocardiogram controls, n = 18; loop recorder monitoring, n = 6) were diagnosed. Our predefined AF Risk Score (cutoff ≥4 points; highest Youden's index) had a sensitivity of 92% and a specificity of 67% for 1-year prediction of AF. Notably, only two CS patients with <4 score points were diagnosed with AF later on (negative predictive value 98%).
conclusionsA clinical risk score for 1-year prediction of AF in CS with high sensitivity, reasonable specificity and excellent negative predictive value is presented. Generalizability of our score needs to be tested in external cohorts with continuous cardiac rhythm monitoring.
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