Observational studyJournal of neurology2023
Prediction of underlying atrial fibrillation in patients with a cryptogenic stroke: results from the NOR-FIB Study.
Observational study in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Identifying patients at low risk for atrial fibrillation after cryptogenic stroke: the PAVA score.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Observational
- External Validation of Published Scoring Systems to Predict Incident Atrial Fibrillation After Cryptogenic Stroke/Embolic Stroke of Undetermined Source.Journal of the American Heart Association · 2026Observational
- External Validation of the AS5F Score and the Role of Left Atrial Dilatation in Post-Stroke/TIA Atrial Fibrillation Detection.Biomedicines · 2026Article
- New-Onset POAF After Craniotomy: Impact on Neurological Outcome, ICU Utilization, and Mortality.Journal of clinical medicine · 2026Article
- Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation.JMIR medical informatics · 2026Article
- Artificial intelligence for prediction of atrial fibrillation in the stroke unit: a retrospective derivation validation cohort study.EBioMedicine · 2025Article
- Imaging features for the identification of atrial fibrillation in cryptogenic stroke patients.Journal of neurology · 2024Observational
- Patterns and utility of myelin oligodendrocyte glycoprotein (MOG) antibody testing in cerebrospinal fluid.Journal of neurology · 2024Article
- Heart rate turbulence in acute ischemic stroke.European stroke journal · 2024Observational
- Natural courses of atrial fibrillation following cryptogenic stroke: A systematic review and meta-analysis.Indian pacing and electrophysiology journalArticle
- Article
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Authors and funding
33 authors at 17 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAtrial fibrillation (AF) detection and treatment are key elements to reduce recurrence risk in cryptogenic stroke (CS) with underlying arrhythmia. The purpose of the present study was to assess the predictors of AF in CS and the utility of existing AF-predicting scores in The Nordic Atrial Fibrillation and Stroke (NOR-FIB) Study.
methodThe NOR-FIB study was an international prospective observational multicenter study designed to detect and quantify AF in CS and cryptogenic transient ischaemic attack (TIA) patients monitored by the insertable cardiac monitor (ICM), and to identify AF-predicting biomarkers. The utility of the following AF-predicting scores was tested: AS5F, Brown ESUS-AF, CHA
resultsIn univariate analyses increasing age, hypertension, left ventricle hypertrophy, dyslipidaemia, antiarrhythmic drugs usage, valvular heart disease, and neuroimaging findings of stroke due to intracranial vessel occlusions and previous ischemic lesions were associated with a higher likelihood of detected AF. In multivariate analysis, age was the only independent predictor of AF. All the AF-predicting scores showed significantly higher score levels for AF than non-AF patients. The STAF and the SURF scores provided the highest sensitivity and negative predictive values, while the AS5F and SURF reached an area under the receiver operating curve (AUC) > 0.7.
conclusionClinical risk scores may guide a personalized evaluation approach in CS patients. Increasing awareness of the usage of available AF-predicting scores may optimize the arrhythmia detection pathway in stroke units.
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