Literature DB >> 26209828

Predictors of new onset atrial fibrillation during 10-year follow-up after first-ever ischemic stroke.

Maria A Baturova1, Arne Lindgren2, Jonas Carlson3, Yuri V Shubik4, S Bertil Olsson3, Pyotr G Platonov5.   

Abstract

BACKGROUND: Paroxysmal atrial fibrillation (AF) may be underdiagnosed in ischemic stroke patients but may be pivotal for initiation of oral anticoagulation therapy. We assessed clinical and ECG predictors of new-onset AF during 10-year follow-up (FU) in ischemic stroke patients.
METHODS: The study sample comprised of 227 first-ever ischemic stroke patients without AF (median age 73, interquartile range 25%-75% 63-80years, 92 female) and 1:1 age- and gender-matched controls without stroke and AF enrolled in the Lund Stroke Register from March 2001 to February 2002. New-onset AF during FU was assessed by screening through regional ECG database and by record linkage with Swedish National Patient Register. The standard 12-lead sinus rhythm ECGs at stroke admission were retrieved from electronic database and digitally processed. Clinical baseline characteristics were studied using medical records.
RESULTS: During FU, AF was found in 39 stroke patients and 30 controls, p=0.296. In stroke patients in multivariate Cox regression analysis AF was associated with hypertension (HR 3.45 CI 95% 1.40-3.49, p=0.007) and QRS duration (HR 1.02 CI 95% 1.00-1.03, p=0.049). High cardiovascular risk was predictive for AF development: for CHADS2≥4 HR 2.46 CI 95% 1.45-4.18, p=0.001 and for CHA2DS2-VASc≥5 HR 2.29 CI 95% 1.43-3.68, p=0.001. New onset AF was not associated with baseline ischemic stroke: HR 1.46 95% CI 0.90-2.35, p=0.121.
CONCLUSION: High CHADS2 and CHA2DS2-VASc scores, but not baseline ischemic stroke, predict new onset AF in FU. QRS duration might be considered a potential risk marker for prediction of AF after ischemic stroke.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; CHA2DS2-VASc; CHADS2; ECG; Ischemic stroke; Predictors

Mesh:

Substances:

Year:  2015        PMID: 26209828     DOI: 10.1016/j.ijcard.2015.07.047

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  6 in total

1.  Relationship between QRS duration and incident atrial fibrillation.

Authors:  Stefanie Aeschbacher; Wesley T O'Neal; Philipp Krisai; Laura Loehr; Lin Y Chen; Alvaro Alonso; Elsayed Z Soliman; David Conen
Journal:  Int J Cardiol       Date:  2018-09-01       Impact factor: 4.164

2.  Validation of Risk Scores for Predicting Atrial Fibrillation Detected After Stroke Based on an Electronic Medical Record Algorithm: A Registry-Claims-Electronic Medical Record Linked Data Study.

Authors:  Cheng-Yang Hsieh; Hsuan-Min Kao; Kuan-Lin Sung; Luciano A Sposato; Sheng-Feng Sung; Swu-Jane Lin
Journal:  Front Cardiovasc Med       Date:  2022-04-29

3.  Atrial time and voltage dispersion are both needed to predict new-onset atrial fibrillation in ischemic stroke patients.

Authors:  Daniel Cortez; Maria Baturova; Arne Lindgren; Jonas Carlson; Yuri V Shubik; Bertil Olsson; Pyotr G Platonov
Journal:  BMC Cardiovasc Disord       Date:  2017-07-24       Impact factor: 2.298

Review 4.  The complexity of atrial fibrillation newly diagnosed after ischemic stroke and transient ischemic attack: advances and uncertainties.

Authors:  Joshua O Cerasuolo; Lauren E Cipriano; Luciano A Sposato
Journal:  Curr Opin Neurol       Date:  2017-02       Impact factor: 5.710

5.  Mobile Single-Lead Electrocardiogram Technology for Atrial Fibrillation Detection in Acute Ischemic Stroke Patients.

Authors:  Marta Leńska-Mieciek; Aleksandra Kuls-Oszmaniec; Natalia Dociak; Marcin Kowalewski; Krzysztof Sarwiński; Andrzej Osiecki; Urszula Fiszer
Journal:  J Clin Med       Date:  2022-01-27       Impact factor: 4.241

Review 6.  Optimal Duration of Monitoring for Atrial Fibrillation in Cryptogenic Stroke: A Nonsystematic Review.

Authors:  Essa Hariri; Ahmad Hachem; Georges Sarkis; Samer Nasr
Journal:  Biomed Res Int       Date:  2016-05-29       Impact factor: 3.411

  6 in total

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