Evaluation of biventricular function in patients with COVID-19 using speckle tracking echocardiography

利用斑点追踪超声心动图评估 COVID-19 患者的双心室功能

阅读:1

Abstract

A new infectious outbreak sustained by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is now spreading all around the world. The aim of this study was to evaluate the prognostic value of left ventricular global longitudinal strain (LV-GLS) and right ventricular longitudinal strain (RV-LS) in patients with coronavirus disease 2019 (COVID-19). In this prospective, single-center study, data were gathered from patients treated for COVID-19 between April 15 and April 30, 2020. Two-dimensional echocardiography (2-DE) and speckle tracking echocardiography (STE) images were obtained for all patients. Patients were divided into three groups: those with severe COVID-19 infection, those with non-severe COVID-19 infection, and those without COVID-19 infection (the control group). Data regarding clinical characteristics and laboratory findings were obtained from electronic medical records. The primary endpoint was in-hospital mortality. A total of 100 patients hospitalized for COVID-19 were included in this study. The mean age of the severe group (n = 44) was 59.1 ± 12.9, 40% of whom were male. The mean age of the non-severe group (n = 56) was 53.7 ± 15.1, 58% of whom were male. Of these patients, 22 died in the hospital. In patients in the severe group, LV-GLS and RV-LS were decreased compared to patients in the non-severe and control groups (LV-GLS: - 14.5 ± 1.8 vs. - 16.7 ± 1.3 vs. - 19.4 ± 1.6, respectively [p < 0.001]; RV-LS: - 17.2 ± 2.3 vs. - 20.5 ± 3.2 vs. - 27.3 ± 3.1, respectively [p < 0.001]). The presence of cardiac injury, D-dimer, arterial oxygen saturation (SaO2), LV-GLS (OR 1.63, 95% confidence interval [CI] 1.08-2.47; p = 0.010) and RV-LS (OR 1.55, 95% CI 1.07-2.25; p = 0.019) were identified as independent predictors of mortality via multivariate analysis. LV-GLS and RV-LS are independent predictors of in-hospital mortality in patients with COVID-19.

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。