Literature DB >> 28679858

P-Wave Indices and Risk of Ischemic Stroke: A Systematic Review and Meta-Analysis.

Jinli He1, Gary Tse2, Panagiotis Korantzopoulos1, Konstantinos P Letsas1, Sadeq Ali-Hasan-Al-Saegh1, Hooman Kamel1, Guangping Li1, Gregory Y H Lip1, Tong Liu1.   

Abstract

BACKGROUND AND
PURPOSE: Atrial cardiomyopathy is associated with an increased risk of ischemic stroke. P-wave terminal force in lead V1, P-wave duration, and maximum P-wave area are electrocardiographic parameters that have been used to assess left atrial abnormalities related to developing atrial fibrillation. The aim of this systematic review and meta-analysis was to examine their values for predicting ischemic stroke risk.
METHODS: PubMed and EMBASE databases were searched until December 2016 for studies that evaluated the association between P-wave indices and stroke risk. Both fixed- and random-effects models were used to calculate the overall effect estimates.
RESULTS: Ten studies examining P-wave terminal force in lead V1, P-wave duration, and maximum P-wave area were included. P-wave terminal force in lead V1 was found to be an independent predictor of stroke as both a continuous variable (odds ratio [OR] per 1 SD change, 1.18; 95% confidence interval [CI], 1.12-1.25; P<0.0001) and categorical variable (OR, 1.59; 95% CI, 1.10-2.28; P=0.01). P-wave duration was a significant predictor of incident ischemic stroke when analyzed as a categorical variable (OR, 1.86; 95% CI, 1.37-2.52; P<0.0001) but not when analyzed as a continuous variable (OR, 1.05; 95% CI, 0.98-1.13; P=0.15). Maximum P-wave area also predicted the risk of incident ischemic stroke (OR per 1 SD change, 1.10; 95% CI, 1.04-1.17).
CONCLUSIONS: P-wave terminal force in lead V1, P-wave duration, and maximum P-wave area are useful electrocardiographic markers that can be used to stratify the risk of incident ischemic stroke.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  atrial fibrillation; electrocardiography; heart atria; odds ratio; stroke

Mesh:

Year:  2017        PMID: 28679858     DOI: 10.1161/STROKEAHA.117.017293

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


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