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Global left ventricular longitudinal systolic strain as a major predictor of cardiovascular events in patients with atrial fibrillation.
- Source :
-
Heart (British Cardiac Society) [Heart] 2013 Nov; Vol. 99 (21), pp. 1588-96. Date of Electronic Publication: 2013 Sep 07. - Publication Year :
- 2013
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Abstract
- Objective: Although global left ventricular longitudinal systolic strain (GLS) is a sensitive measure of left ventricular mechanics, its relationship with adverse cardiovascular (CV) events in atrial fibrillation (AF) has not been evaluated. This study sought to examine the ability of GLS in predicting CV events in AF.<br />Design: Observational cohort study.<br />Setting: Department of cardiology in a university hospital.<br />Patients: 196 persistent AF patients referred for echocardiographic examination.<br />Main Outcome Measures: The risk of GLS measured by index beat method for CV events was assessed by Cox proportional hazards analyses. CV events were defined as CV death, non-fatal stroke and hospitalisation for heart failure.<br />Results: There were 19 CV deaths, 12 non-fatal stroke and 28 hospitalisations for heart failure during an average follow-up of 21 ± 10 months. Multivariate analysis showed worsening GLS (HR 1.121; 95% CI 1.023 to 1.228, p=0.014) was independently associated with increased CV events. In direct comparison, GLS outperformed left ventricular ejection fraction (LVEF) and systolic mitral annulus velocity (Sa) in predicting adverse CV events both in univariate and multivariate models (p ≤ 0.043). Besides, the addition of GLS to a Cox model containing chronic heart failure, hypertension, age ≥ 75 years, diabetes, prior stroke score, estimated glomerular filtration rate, LVEF and Sa provided an additional benefit in the prediction of adverse CV events (p=0.022).<br />Conclusions: GLS was a major parameter and stronger than LVEF and Sa in predicting adverse CV events and could offer an additional prognostic benefit over conventional clinical and echocardiographic systolic parameters in AF.
- Subjects :
- Aged
Aged, 80 and over
Atrial Fibrillation diagnosis
Atrial Fibrillation mortality
Atrial Fibrillation physiopathology
Atrial Fibrillation therapy
Biomechanical Phenomena
Chi-Square Distribution
Echocardiography, Doppler
Electrocardiography
Female
Heart Failure mortality
Heart Failure physiopathology
Heart Failure therapy
Hospitalization
Humans
Kaplan-Meier Estimate
Linear Models
Male
Middle Aged
Multivariate Analysis
Prognosis
Proportional Hazards Models
Prospective Studies
Risk Assessment
Risk Factors
Stress, Mechanical
Stroke mortality
Stroke physiopathology
Stroke therapy
Atrial Fibrillation complications
Heart Failure etiology
Stroke etiology
Systole
Ventricular Function, Left
Subjects
Details
- Language :
- English
- ISSN :
- 1468-201X
- Volume :
- 99
- Issue :
- 21
- Database :
- MEDLINE
- Journal :
- Heart (British Cardiac Society)
- Publication Type :
- Academic Journal
- Accession number :
- 24014280
- Full Text :
- https://doi.org/10.1136/heartjnl-2013-304561