Literature DB >> 21346349

Score for the targeting of atrial fibrillation: a new approach to diagnosing paroxysmal atrial fibrillation.

Laurent Suissa1, Marie Hélène Mahagne, Sylvain Lachaud.   

Abstract

BACKGROUND AND
PURPOSE: Detecting paroxysmal atrial fibrillation (PAF) after ischaemic stroke is challenging. There are several methods to increase the detection rate of PAF, but it is first necessary to identify subgroups of patients at risk. In a previous study, we established a clinicoradiologic score that predicts atrial fibrillation (AF) in stroke patients. The purpose of the present study is to validate this score specifically for PAF patients.
METHODS: 500 consecutive ischaemic stroke patients were examined in our stroke unit. A blind evaluation of the STAF (score for the targeting of atrial fibrillation) was performed for each patient with or without AF. Firstly, we established the reproducibility of the STAF performance by comparing areas under the receiver operating characteristic curves in the preliminary and present studies. Secondly, to validate the predictive value of the STAF in occult AF, areas under the receiver operating characteristic curves were compared for each type of AF. Thirdly, the best threshold value was calculated.
RESULTS: AF was detected in 145 cases including 45% of paroxysmal forms. There is no significant score performance difference (p = 0.192) between the preliminary and prospective cohort areas under the receiver operating characteristic curves. This confirms the reproducibility of STAF performance. The area under the receiver operating characteristic curve for the PAF group was 0.907 versus 0.911 for the permanent AF group (p = 0.906). The diagnostic value of the STAF is as good in permanent as paroxysmal AF. In PAF, a STAF ≥ 5 has a sensitivity of 91% and a specificity of 77%.
CONCLUSIONS: Due to its reproducibility and predictive value, the STAF can be used by neurologists as part of a novel diagnostic strategy for occult AF.
Copyright © 2011 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2011        PMID: 21346349     DOI: 10.1159/000323852

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  6 in total

1.  Development and Validation of a Novel Score for Predicting Paroxysmal Atrial Fibrillation in Acute Ischemic Stroke.

Authors:  Jiann-Der Lee; Ya-Wen Kuo; Chuan-Pin Lee; Yen-Chu Huang; Meng Lee; Tsong-Hai Lee
Journal:  Int J Environ Res Public Health       Date:  2022-06-14       Impact factor: 4.614

2.  Diagnostic accuracy of STAF, LADS, and iPAB scores for predicting paroxysmal atrial fibrillation in patients with acute cerebral infarction.

Authors:  Xingdong Chen; Weiliang Luo; Jiming Li; Mei Li; Lizhi Wang; Yu Rao; Bosheng Li; Wei Zeng
Journal:  Clin Cardiol       Date:  2018-11-23       Impact factor: 2.882

3.  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 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.  Diagnostic value of STAF score in combination with D-dimer in cardioembolism.

Authors:  Li-Bin Liu; Ya-Dong Guo; An-Ding Xu; Jie-Xi Zhong; Wen-Yan Zhuo
Journal:  PLoS One       Date:  2018-10-01       Impact factor: 3.240

6.  Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme.

Authors:  Apurv Soni; Sunil Karna; Harshil Patel; Nisha Fahey; Shyamsundar Raithatha; Anna Handorf; John Bostrom; Syed Bashar; Kandarp Talati; Ravi Shah; Robert J Goldberg; Sunil Thanvi; Ajay Gajanan Phatak; Jeroan J Allison; Ki Chon; Somashekhar Marutirao Nimbalkar; David D McManus
Journal:  BMJ Open       Date:  2017-12-14       Impact factor: 2.692

  6 in total

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