Predicting atrial fibrillation after cryptogenic stroke via a clinical risk score—a prospective observational study. (23rd September 2021)

• Record Type: Journal Article
• Authors: Kneihsl, Markus; Bisping, Egbert; Scherr, Daniel; Mangge, Harald; Fandler‐Höfler, Simon; Colonna, Isabella; Haidegger, Melanie; Eppinger, Sebastian; Hofer, Edith; Fazekas, Franz; Enzinger, Christian; Gattringer, Thomas
• Is Part Of: European journal of neurology. Volume 29:Number 1(2022)
• Page Start: 149
• Page End: 157
• Publication Date: 2021-09-23
• Subjects: atrial fibrillation -- biomarker -- cryptogenic stroke -- NT‐proBNP -- risk score; Neurology -- Periodicals; Nervous system -- Diseases -- Periodicals; 616.8
• DOI: 10.1111/ene.15102
• Languages: English
• ISSNs: 1351-5101

Abstract

Abstract: Background and purpose: Atrial 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. Methods: Our 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. Results: During 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%). Conclusions: A 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. Abstract : Occult atrial fibrillation (AF) often remains undiagnosed in cryptogenic stroke (CS), mostly because of limited availability of cardiac long‐term rhythm monitoring. In this prospective study, a clinical risk score for the prediction of AF in CS patients was developed. The Graz AF Risk Score was then evaluated in 150 CS patients, who were followed over 1 year for the diagnosis of AF. Our score reached a high sensitivity and reasonable specificity for predicting AF in CS patients, and had an excellent negative predictive value (98%).