Literature DB >> 20472463

A simple electrocardiogram marker for risk stratification of ischemic stroke in low-resources settings.

Elsayed Z Soliman1, Hadge Juma, Nelson Nkosi.   

Abstract

BACKGROUND: Because of economic constraints, identification of patients at high risk for ischemic stroke who may benefit from further evaluation and aggressive control of their risk factors carries a special importance in low-resources settings. We sought to examine the use of the negative component of the P wave in V(1) in the standard electrocardiogram, referred to as P-wave terminal force (PTF), as a risk stratification tool of ischemic stroke in Africans living in Malawi, a sub-Saharan African country where stroke is a strongly emerging health problem.
METHODS: This was a case-comparison study where 92 patients with ischemic stroke were compared with an equal number of subjects in an age- and sex-matched comparison group. The sensitivity and specificity of abnormal PTF, defined as PTF greater than or equal to 4mm-s, to diagnose ischemic stroke were calculated. Univariate and multivariable logistic regression analysis was used to estimate the odds of ischemic stroke associated with abnormal PTF.
RESULTS: Abnormal PTF was present in 54% of patients with stroke compared with only 17% of the comparison group (P < .001). The specificity and sensitivity of PTF was 82% and 54%, with positive and negative predictive values of 76% and 64%, respectively. PTF was associated with ischemic stroke in a univariate analysis (odds ratio [OR] 5.7; 95% confidence interval [CI] 2.9-11.1), a multivariate analysis adjusting for common ischemic stroke risk factors (OR 2.8; 95% CI 2.4-3.4), and even with further adjustment for echocardiographically measured left atrial size (OR 2.1; 95% CI 1.9-2.4).
CONCLUSIONS: PTF greater than or equal to 4mm-s is associated with the risk of ischemic stroke in Africans independently from ischemic stroke risk factors. Given its reasonable sensitivity and specificity to predict ischemic stroke, PTF greater than or equal to 4mm-s could be used as a risk stratification tool to discriminate between patients at high and low risk of ischemic stroke, and subsequently identify patients who may benefit from further evaluation and aggressive control of their risk factors. Copyright (c) 2010 National Stroke Association. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20472463     DOI: 10.1016/j.jstrokecerebrovasdis.2009.07.007

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


  4 in total

1.  Stroke subtypes and factors associated with ischemic stroke in Kinshasa, Central Africa.

Authors:  Michel Lelo Tshikwela; Fifi Baza Londa; Stéphane Yanda Tongo
Journal:  Afr Health Sci       Date:  2015-03       Impact factor: 0.927

2.  Electrocardiographic left atrial abnormality and stroke subtype in the atherosclerosis risk in communities study.

Authors:  Hooman Kamel; Wesley T O'Neal; Peter M Okin; Laura R Loehr; Alvaro Alonso; Elsayed Z Soliman
Journal:  Ann Neurol       Date:  2015-08-31       Impact factor: 10.422

3.  Atrial Cardiopathy and Cryptogenic Stroke: A Cross-sectional Pilot Study.

Authors:  Shadi Yaghi; Amelia K Boehme; Rebecca Hazan; Eldad A Hod; Alberto Canaan; Howard F Andrews; Hooman Kamel; Randolph S Marshall; Mitchell S V Elkind
Journal:  J Stroke Cerebrovasc Dis       Date:  2015-10-21       Impact factor: 2.136

4.  Association between serum cotinine levels and electrocardiographic left atrial abnormality.

Authors:  Affan Irfan; Yabing Li; Aruni Bhatnagar; Elsayed Z Soliman
Journal:  Ann Noninvasive Electrocardiol       Date:  2018-08-27       Impact factor: 1.468

  4 in total

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