1. Predictors of paroxysmal atrial fibrillation in patients with a cryptogenic stroke: Selecting patients for long-term rhythm monitoring.
- Author
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Apple SJ, Parker M, Flomenbaum D, Rosenbaum SM, Borck J, Choppa A, Borkowski P, Satish V, Al Deen Alhuarrat M, Fisher JD, Di Biase L, Krumerman A, and Ferrick KJ
- Subjects
- Humans, Male, Female, Retrospective Studies, Aged, Middle Aged, Risk Assessment methods, Ischemic Stroke etiology, Ischemic Stroke epidemiology, Ischemic Stroke diagnosis, Ischemic Stroke physiopathology, Patient Selection, Risk Factors, Heart Rate physiology, Follow-Up Studies, Time Factors, Electrocardiography, Echocardiography methods, Atrial Fibrillation physiopathology, Atrial Fibrillation diagnosis, Atrial Fibrillation complications, Electrocardiography, Ambulatory methods
- Abstract
Background: After a cryptogenic stroke, patients often will require prolonged cardiac monitoring; however, the subset of patients who would benefit from long-term rhythm monitoring is not clearly defined., Objective: The purpose of this study was to create a risk score by identifying significant predictors of atrial fibrillation (AF) using age, sex, comorbidities, baseline 12-lead electrocardiogram, short-term rhythm monitoring, and echocardiographic data and to compare it to previously published risk scores., Methods: Patients admitted to Montefiore Medical Center between May 2017 and June 2022 with a primary diagnosis of cryptogenic stroke or transient ischemic attack who underwent long-term rhythm monitoring with an implantable cardiac monitor were retrospectively analyzed., Results: Variables positively associated with a diagnosis of clinically significant AF include age (P <.001), race (P = .022), diabetes status (P = .026), chronic obstructive pulmonary disease status (P = .012), presence of atrial runs (P = .003), number of atrial runs per 24 hours (P <.001), total number of atrial run beats per 24 hours (P <.001), number of beats in the longest atrial run (P <.001), left atrial enlargement (P = .007), and at least mild mitral regurgitation (P = .009). We created a risk stratification score for our population, termed the ACL score. The ACL score demonstrated superiority to the CHA
2 DS2 -VASc score and comparability to the C2 HEST score for predicting device-detected AF., Conclusion: The ACL score enables clinicians to better predict which patients are more likely to be diagnosed with device-detected AF after a cryptogenic stroke., Competing Interests: Disclosures Dr Di Biase is a consultant for Biosense Webster, Boston Scientific, Stereotaxis, and St. Jude Medical; and has received speaker honoraria from Medtronic, AtriCure, EPiEP, and Biotronik. The other authors have no conflicts of interest to disclose., (Copyright © 2024 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.)- Published
- 2025
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