Affiliation:
1. Department of Cardiology, Zhengzhou No. 7 People’s Hospital, No. 17, Jingnan Fifth Road, Economy and Technical Development Zone, Zhengzhou, Henan Province, 450000, China
Abstract
Background. Atrial fibrillation (AF) is the most common heart rhythm disorder that has been shown to be associated with a significant increase in stroke and systemic embolism risk. The left atrial appendage (LAA) is a finger-like extension originating from the left atrium; the formation of thrombus in LAA is the main reason of stroke and systemic embolism in patients with nonvalvular atrial fibrillation (NVAF). This study is aimed at finding out the risk of left atrial appendage thrombus (LAAT) in patients with nonvalvular atrial fibrillation (NVAF). Method. We retrospectively examined the clinic and left atrial computer tomography angiography (CTA) features of patients assessed in Zhengzhou No. 7 People’s Hospital between January 2020 and January 2021 derivation. Student’s
-test, chi-square test, receiver operating characteristics (ROC) curves, and logistic regression analysis were used to identify predictors of LAAT. Result. Of 480 patients included in the analysis, LAAT was found in approximately 9.2% of all patients. Univariate demographic predictors of LAAT included left atrium top and bottom diameter (LTD), left atrial appendage depth (LAAD), CHA2DS2-VASc, tachycardia bradycardia syndrome (TBS), and nonparoxysmal atrial fibrillation (PAF). In a multiple logistic regression analysis, the independent predictors of thrombus were
mm (odds ratio: 4.216, 95% CI: 1.869-9.510,
), TBS (odds ratio: 4.076, 95% CI: 1.655-10.038,
), and non-PAF (odds ratio: 2.896, 95% CI: 1.183-7.094,
). Conclusion. In NVAF patients with LAAT, evidence suggested that larger LAAD, non-PAF, and TBS present a high risk of LAAT. This is the first report demonstrating that the LAAD and TBS are associated with LAAT in patients with NVAF.
Funder
Henan Medical Key Laboratory of Arrhythmia
Subject
Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine
Cited by
2 articles.
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