Literature DB >> 19900647

Delayed detection of atrial fibrillation after ischemic stroke.

Hooman Kamel1, Kennedy R Lees, Patrick D Lyden, Philip A Teal, Ashfaq Shuaib, Myzoon Ali, S Claiborne Johnston.   

Abstract

BACKGROUND: Detection of atrial fibrillation (AF) after ischemic stroke is important because anticoagulation is indicated to reduce the risk of recurrent stroke. However, no consensus exists about the optimum method for detecting underlying paroxysmal AF not apparent on presentation with stroke. The aim of this study was to characterize the rate, timing, and predictors of delayed detection of AF after stroke.
METHODS: The Virtual International Stroke Trials Archive provided data from 3464 patients in the placebo arms of 4 clinical trials of therapies for acute ischemic stroke. Patients who had AF by history or on the baseline electrocardiogram were excluded. Electrocardiograms were obtained routinely and as clinically indicated. The time to detection of AF was evaluated using Kaplan-Meier survival statistics. Cox proportional hazards analysis was used to evaluate risk factors for AF.
RESULTS: Among 2504 qualifying patients, AF was detected in 174 (6.9%; 95% confidence interval [CI] 6.0%-8.0%). In 68% of patients, AF was detected more than 48 hours after presentation. Detection of AF was associated with increasing age (hazard ratio [HR] 1.6/decade; 95% CI 1.4-1.9; P < .005), female sex (HR 1.7; CI 1.2-2.4; P < .005), congestive heart failure (HR 1.9; CI 1.1-3.4; P = .02), and the absence of hypertension (HR 1.6; CI 1.1-2.2; P = .01).
CONCLUSIONS: Delayed detection of AF was common in this large cohort of patients carefully monitored after ischemic stroke. Current methods of screening may fail to detect underlying paroxysmal AF in a substantial proportion of patients.

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Mesh:

Year:  2009        PMID: 19900647     DOI: 10.1016/j.jstrokecerebrovasdis.2009.01.012

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  8 in total

1.  The Evolution and Application of Cardiac Monitoring for Occult Atrial Fibrillation in Cryptogenic Stroke and TIA.

Authors:  Daniel J Miller; Kavit Shah; Sumul Modi; Abhimanyu Mahajan; Salman Zahoor; Muhammad Affan
Journal:  Curr Treat Options Neurol       Date:  2016-04       Impact factor: 3.598

2.  Screening For Atrial Fibrillation In The Community Using A Novel ECG Recorder.

Authors:  Irma Battipaglia; Katrina Gilbert; Andrew J Hogarth; Muzahir H Tayebjee
Journal:  J Atr Fibrillation       Date:  2016-08-31

Review 3.  Prevention of stroke following transient ischemic attack.

Authors:  Sharon Poisson; S Claiborne Johnston
Journal:  Curr Atheroscler Rep       Date:  2011-08       Impact factor: 5.113

Review 4.  Advances in the Detection and Monitoring of Atrial Fibrillation for Patients with Cryptogenic Ischemic Stroke.

Authors:  Rajbeer Singh Sangha; Richard Bernstein
Journal:  Curr Atheroscler Rep       Date:  2015-12       Impact factor: 5.113

Review 5.  Significance and Management Strategies for Patients with Asymptomatic Atrial Fibrillation.

Authors:  Ewa Majos; Rafal Dabrowski
Journal:  J Atr Fibrillation       Date:  2015-02-28

6.  Predictors of occult paroxysmal atrial fibrillation in cryptogenic strokes detected by long-term noninvasive cardiac monitoring.

Authors:  Archit Bhatt; Arshad Majid; Anmar Razak; Mounzer Kassab; Syed Hussain; Adnan Safdar
Journal:  Stroke Res Treat       Date:  2011-02-22

7.  Atrial fibrillation trial to evaluate real-world procedures for their utility in helping to lower stroke events (AFTER-PULSE): Study protocol for a randomized controlled trial.

Authors:  Tsung-Ta Hsieh; Meng Lee; Wen-Yi Huang; Sung-Chun Tang; Sheng-Feng Sung; Kuo-Husan Chang; Jiann-Der Lee; Tsong-Hai Lee; Yung-Sung Huang; Jiann-Shing Jeng; Chang-Min Chung; Yi-Ling Wu; Bruce Ovbiagele
Journal:  Contemp Clin Trials Commun       Date:  2017-04-26

8.  MR-imaging pattern is not a predictor of occult atrial fibrillation in patients with cryptogenic stroke.

Authors:  C Vollmuth; S Stoesser; H Neugebauer; A Hansel; J Dreyhaupt; A C Ludolph; J Kassubek; K Althaus
Journal:  J Neurol       Date:  2019-09-11       Impact factor: 4.849

  8 in total

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