Department of Cardiology, Gaziantep Abdulkadir Yuksel State Hospital, Gaziantep, Turkey.
Department of Chest Diseases, Gaziantep Abdulkadir Yuksel State Hospital, Gaziantep, Turkey.
J Clin Ultrasound. 2022 Jan;50(1):7-13. doi: 10.1002/jcu.23066. Epub 2021 Oct 28.
Echocardiography is generally used in our daily practice to detect cardiovascular complications in COVID-19 patients and for etiological research in the case of worsened clinical status. Many echocardiographic parameters have been the subject of investigation in previous studies on COVID-19. Recently, the right ventricle early inflow-outflow (RVEIO) index has been identified as a possible and indirect marker of the severity of tricuspid regurgitation and right ventricular dysfunction in pulmonary embolism. In this study, we aimed to investigate the relationship between the severity of pneumonia in COVID-19 patients and the RVEIO index.
A total of 54 patients diagnosed with COVID-19 pneumonia were enrolled in this study. Our study population was separated into two groups as severe pneumonia and nonsevere pneumonia based on computed tomography imaging.
Saturation O , C-reactive protein, D-dimer, deceleration time, tricuspid annular plane systolic excursion, tricuspid lateral annular systolic velocity, and RVEIO index values were found to be significantly different between severe and nonsevere pneumonia groups. The result of the multivariate logistic regression test revealed that saturation O2, D-dimer, Sm, and RVEIO index were the independent predictive parameters for severe pneumonia. Receiver operating characteristic curve analysis demonstrated that RVEIO index >4.2 predicted severe pneumonia with 77% sensitivity and 79% specificity.
The RVEIO index can be used as a bedside, noninvasive, easily accessible, and useful marker to identify the COVID-19 patient group with widespread pneumonia and, therefore high risk of complications, morbidity, and mortality.
在日常实践中,超声心动图通常用于检测 COVID-19 患者的心血管并发症,并在临床状况恶化时进行病因研究。许多超声心动图参数都是 COVID-19 之前研究的主题。最近,右心室早期流入流出(RVEIO)指数已被确定为肺动脉栓塞中三尖瓣反流和右心室功能障碍严重程度的可能和间接标志物。在这项研究中,我们旨在研究 COVID-19 患者肺炎严重程度与 RVEIO 指数之间的关系。
本研究共纳入 54 例确诊为 COVID-19 肺炎的患者。根据计算机断层扫描成像,我们的研究人群分为重症肺炎组和非重症肺炎组。
饱和度 O2、C 反应蛋白、D-二聚体、减速时间、三尖瓣环平面收缩期位移、三尖瓣侧壁环收缩期速度和 RVEIO 指数值在重症和非重症肺炎组之间存在显著差异。多变量逻辑回归检验的结果表明,饱和度 O2、D-二聚体、Sm 和 RVEIO 指数是重症肺炎的独立预测参数。受试者工作特征曲线分析表明,RVEIO 指数>4.2 预测重症肺炎的敏感性为 77%,特异性为 79%。
RVEIO 指数可作为一种床边、非侵入性、易于获取且有用的标志物,用于识别广泛肺炎且并发症、发病率和死亡率高风险的 COVID-19 患者群体。