Literature DB >> 23121252

Predictors of newly diagnosed atrial fibrillation in cryptogenic stroke: a cohort study.

J-M Bugnicourt1, M Flament, M-P Guillaumont, J-M Chillon, C Leclercq, S Canaple, C Lamy, O Godefroy.   

Abstract

BACKGROUND AND
PURPOSE: A significant proportion of cryptogenic ischaemic strokes are due to paroxysmal atrial fibrillation (AF). As paroxysmal AF appears to inexorably progress to persistent or permanent AF, this study with long-term follow-up was designed to establish the profile of patients who developed AF after hospital discharge.
METHODS: All patients with cryptogenic ischaemic stroke over a 1-year period were included (n = 164). Patients were prospectively followed up at the outpatient clinic. Information on long-term outcome included the presence of newly diagnosed AF (NDAF). A specific NDAF assessment was performed at least 2 years after the index stroke using a structured telephone interview. Baseline clinical, laboratory, and echocardiographic data of these patients were retrospectively recorded. Independent predictive factors were then used to produce a predictive grading score for NDAF, derived by logistic regression analysis.
RESULTS: With a median follow-up of 854 days, 22 cases of NDAF (13%) were observed. On multivariate analysis, factors associated with NDAF were age ≥72 years (two points), history of coronary artery disease (one point) or stroke (one point), and left atrial area ≥16 cm(2) (two points) (total score ranging from 0 to 6). Patients with a score ≤1 point did not have NDAF during follow-up.
CONCLUSIONS: In cryptogenic ischaemic stroke, the NDAF score can be used to target patients at high risk of developing AF after hospital discharge, as a score of 0-1 was highly predictive of the absence of NDAF during follow-up. These results need to be confirmed in prospective studies.
© 2012 The Author(s) European Journal of Neurology © 2012 EFNS.

Entities:  

Keywords:  atrial fibrillation; ischaemic stroke; outcome; secondary prevention

Mesh:

Year:  2012        PMID: 23121252     DOI: 10.1111/ene.12017

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  7 in total

Review 1.  Atrial Fibrillation Monitoring in Cryptogenic Stroke: the Gaps Between Evidence and Practice.

Authors:  Krittapoom Akrawinthawong; Karthik Venkatesh Prasad; Ali Akbar Mehdirad; Scott Wayne Ferreira
Journal:  Curr Cardiol Rep       Date:  2015-12       Impact factor: 2.931

2.  A Clinical Score for Predicting Atrial Fibrillation in Patients with Cryptogenic Stroke or Transient Ischemic Attack.

Authors:  Calvin Kwong; Albee Y Ling; Michael H Crawford; Susan X Zhao; Nigam H Shah
Journal:  Cardiology       Date:  2017-06-28       Impact factor: 1.869

Review 3.  Cryptogenic Stroke And Role Of Loop Recorder.

Authors:  Jordi PérezRodon; Jaume FranciscoPascual; Nuria RivasGándara; Ivo RocaLuque; Neus Bellera; Àngel MoyaMitjans
Journal:  J Atr Fibrillation       Date:  2014-12-31

4.  Score for atrial fibrillation detection in acute stroke and transient ischemic attack patients in a Brazilian population: the acute stroke atrial fibrillation scoring system.

Authors:  Marcelo Marinho de Figueiredo; Ana Clara Tude Rodrigues; Monique Bueno Alves; Miguel Cendoroglo Neto; Gisele Sampaio Silva
Journal:  Clinics (Sao Paulo)       Date:  2014       Impact factor: 2.365

Review 5.  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

6.  Evaluation of a clinical score for predicting atrial fibrillation in cryptogenic stroke patients with insertable cardiac monitors: results from the CRYSTAL AF study.

Authors:  Susan X Zhao; Paul D Ziegler; Michael H Crawford; Calvin Kwong; Jodi L Koehler; Rod S Passman
Journal:  Ther Adv Neurol Disord       Date:  2019-04-11       Impact factor: 6.570

Review 7.  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

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.