Literature DB >> 30824998

Left atrial appendage strain rate is associated with documented thromboembolism in nonvalvular atrial fibrillation.

Monika Jankajova1, Lucia Kubikova2, Gabriel Valocik1, Peter Candik3, Peter Mitro1, Marian Kurecko1, Frantisek Sabol4, Adrian Kolesar4, Maria Kubikova5, Marianna Vachalcova1, Marianna Dvoroznakova1.   

Abstract

BACKGROUND: The left atrial appendage (LAA) strain and strain rate have not yet been studied in the prediction of cardiac thromboembolism. Therefore, this study aimed to evaluate the significance of LAA strain and strain rate as assessed by speckle-tracking imaging in relation to documented thromboembolic events.
METHODS: A group of 80 patients with a mean age of 65 years who were referred for electrical cardioversion of nonvalvular atrial fibrillation was retrospectively analyzed. Each patient underwent 2D transesophageal echocardiography (TEE). Velocity vector imaging (VVI)-derived LAA strain and strain rate in parallel with other conventional TEE predictors were analyzed in terms of their association with previous embolic stroke and peripheral embolization.
RESULTS: By comparing the two groups of patients with (22/80) and without embolic events (58/80), patients with embolic events were older, had higher CHA2DS2-VASc scores, higher incidence of coronary artery disease and LAA thrombi, and worse LAA strain and strain rate. Moreover, patients without embolization more often used anticoagulants than patients with embolic events. After adjusting for the abovementioned embolic risk factors, only the CHA2DS2-VASc (congestive heart failure, hypertension, age ≥75 years [double weight], diabetes mellitus, stroke [double weight], vascular disease, age from 65 to 74 years, sex category) score and the LAA strain rate remained as significant predictors of embolic events.
CONCLUSION: The results of the study show that the VVI-derived LAA strain rate is a significant predictor of documented ischemic stroke and systemic thromboembolism in patients with nonvalvular atrial fibrillation. Its predictive power is similar to the predictive power of the CHA2DS2-VASc score.

Entities:  

Keywords:  Cardioversion; Dysrhythmia; Echocardiography; Predictor; Velocity vector imaging

Mesh:

Year:  2019        PMID: 30824998     DOI: 10.1007/s00508-019-1469-6

Source DB:  PubMed          Journal:  Wien Klin Wochenschr        ISSN: 0043-5325            Impact factor:   1.704


  5 in total

1.  Evaluating left atrial appendage function in a subtype of non-valvular atrial fibrillation using transesophageal echocardiography combined with two-dimensional speckle tracking.

Authors:  Li Wang; Jiali Fan; Zixuan Wang; Yuping Liao; Bingyuan Zhou; Changsheng Ma
Journal:  Quant Imaging Med Surg       Date:  2022-05

2.  Mechanical concordance between left atrium and left atrial appendage in nonvalvular atrial fibrillation: can it be exploited to avoid transesophageal echocardiography prior to electrical cardioversion during Covid-19 pandemic?

Authors:  Andrea Sonaglioni; Michele Lombardo; Gian Luigi Nicolosi; Gian Franco Gensini; Giuseppe Ambrosio
Journal:  Int J Cardiovasc Imaging       Date:  2021-09-18       Impact factor: 2.316

3.  Comparison of left atrial and left atrial appendage mechanics in the risk stratification of stroke in patients with atrial fibrillation.

Authors:  Yankai Mao; Chan Yu; Yuan Yang; Mingming Ma; Yunhe Wang; Ruhong Jiang; Ran Chen; Bowen Zhao; Chenyang Jiang
Journal:  Cardiovasc Ultrasound       Date:  2021-01-09       Impact factor: 2.062

Review 4.  Association Between Left Atrial Appendage Morphology and Function and the Risk of Ischaemic Stroke in Patients with Atrial Fibrillation.

Authors:  Katarzyna Dudziñska-Szczerba; Piotr Kułakowski; Ilona Michałowska; Jakub Baran
Journal:  Arrhythm Electrophysiol Rev       Date:  2022-04

5.  A nomogram to predict left atrial appendage thrombus and spontaneous echo contrast in non-valvular atrial fibrillation patients.

Authors:  Shikun Sun; Bo Su; Jia Lin; Caiming Zhao; Changsheng Ma
Journal:  BMC Cardiovasc Disord       Date:  2022-07-12       Impact factor: 2.174

  5 in total

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