Utility of Speckle-Tracking Echocardiography For Predicting Atrial Fibrillation Following Ischemic Stroke: A Systematic Review And Meta-Analysis

DOI: https://doi.org/10.21203/rs.3.rs-1187184/v1

Abstract

Purpose: Undiagnosed atrial fibrillation (AF) is one of the main sources of cryptogenic stroke. And strain indices measured by speckle-tracking echocardiography are associated with atrial remodeling supposed to be the substrate of AF. Therefore, there is a strong need for evaluating the utility of speckle-tracking echocardiography to predict the likelihood of AF in patients with cryptogenic stroke.

Methods: PubMed, Embase and Cochrane Database were searched for studies. The random-effects model was used to calculate the pooled results, and summary receiver operating characteristic curve (SROC) analysis was performed to show the overall predictive value.

Results: There were 1483 patients with cryptogenic stroke from 8 studies. Meta-analysis showed that strain indices including global longitudinal strain (GLS) (mean difference [SMD]: -0.22, 95% confidence interval [95% CI]: -0.40 to -0.04) , left atrial reservoir strain (εR), (SMD: -0.87, 95% CI: -1.26 to -0.48, conduit strain (εCD) (SMD: -0.56, 95% CI: -0.81 to -0.30), contractile strain (εCT) (SMD: -1.00, 95% CI: -1.39 to -0.61), and left atrial reservoir strain rate (SRe) (SMD: -0.54, 95% CI: -0.80 to -0.28) measured at the period of cryptogenic stroke was significantly decreased in patients with AF occurrence compared to without. SROC analysis suggested an acceptable predictive efficiency of εR for AF occurrence (AUC = 0.799).

Conclusion: For patients after cryptogenic stroke, GLS, εR, εCD, εCT and SRe were significantly decreased in AF occurrence compared with non-occurrence. But there was no value in left atrial reservoir strain rate (SRs) and contractile strain rate (SRa) for predicting AF.

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