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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Kneihsl, M; Bisping, E; Scherr, D; Mangge, H; Fandler-Höfler, S; Colonna, I; Haidegger, M; Eppinger, S; Hofer, E; Fazekas, F; Enzinger, C; Gattringer, T.
Predicting atrial fibrillation after cryptogenic stroke via a clinical risk score-a prospective observational study.
Eur J Neurol. 2022; 29(1):149-157 Doi: 10.1111/ene.15102 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG


Führende Autor*innen der Med Uni Graz
Gattringer Thomas
Kneihsl Markus
Co-Autor*innen der Med Uni Graz
Bisping Egbert Hubertus
Colonna Isabella
Enzinger Christian
Eppinger Sebastian
Fandler-Höfler Simon
Fazekas Franz
Haidegger Melanie
Hofer Edith
Mangge Harald
Scherr Daniel

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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.
Find related publications in this database (using NLM MeSH Indexing)
Atrial Fibrillation - complications, diagnosis
Humans - administration & dosage
Ischemic Stroke - administration & dosage
Risk Factors - administration & dosage
Stroke - complications, diagnostic imaging
Stroke Volume - administration & dosage
Ventricular Function, Left - administration & dosage

Find related publications in this database (Keywords)
atrial fibrillation
cryptogenic stroke
risk score
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