Prevalence of Electrocardiographic Abnormalities in Patients with Acute Pulmonary Embolism: A Systematic Review and Meta-Analysis

急性肺栓塞患者心电图异常的患病率:系统评价和荟萃分析

阅读:3

Abstract

Background/Objectives: Acute pulmonary embolism (PE) remains a leading cause of cardiovascular morbidity and mortality. Although computed tomography pulmonary angiography (CTPA) is the gold standard for diagnosis, electrocardiography (ECG) is a widely available, non-invasive tool that may provide diagnostic clues. This study aims to estimate the pooled prevalence of specific ECG abnormalities in patients with confirmed acute PE. Methods: We conducted a systematic review and meta-analysis in accordance with the PRISMA guidelines. We searched PubMed, Embase, Web of Science, Scopus, and the Cochrane Central Register of Controlled Trials until April 2024 for studies reporting prevalence data on ECG abnormalities in confirmed acute PE cases. Pooled prevalence estimates were calculated using a random-effects model, and heterogeneity was assessed using the I(2) statistic. Publication bias was evaluated through funnel plots and Egger's test. Results: Twenty-four studies with 7467 patients were included. The most common ECG abnormalities were sinus tachycardia (31%, 95% CI 22-40%), clockwise rotation (28%, 95% CI 12-45%), T-wave inversion in leads V1-V3 (18%, 95% CI 13-23%), S1Q3T3 pattern (15%, 95% CI 11-19%), and right bundle branch block (14%, 95% CI 10-17%). High heterogeneity was observed across studies, with an I(2) value exceeding 95%. Publication bias was detected for both S1Q3T3 and right bundle branch block. Conclusions: Sinus tachycardia and the S1Q3T3 pattern are frequently observed in acute PE, supporting their potential use in clinical recognition. However, significant heterogeneity and publication bias highlight the need for larger, higher-quality studies with standardized ECG protocols to understand ECG's diagnostic and prognostic role in PE.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。