左心室整体纵向应变作为COVID-19感染住院患者不良预后的预测因子

Juan Armando D. Diaz, R. Lapitan
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引用次数: 0

摘要

背景:通过经胸超声心动图(TTE)建立左心室整体纵向应变(LV-GLS)与COVID-19感染患者的严重程度和结局之间的相关性,为患者护理和管理提供了多项优势。本研究旨在探讨测量LV-GLS对COVID-19感染住院患者预后的预测作用。方法:本研究是一项回顾性队列研究,研究对象是2021年4月至2021年5月在三级医疗中心接受TTE和GLS测量的COVID-19患者。左室功能参数(GLS和LVEF)的比较对连续变量采用t检验或Mann-Whitney U检验,对分类变量采用χ2检验或Fisher精确检验。Kaplan-Meier生存分析用于估计死亡率和住院时间。采用Log-rank检验评估GLS与住院死亡率的关系。结果本研究共纳入124名受试者。73.2%(90/123)患者GLS下降;平均GLS为-19.2%[-27.6 ~ -4.7]。以GLS为主要因子,预先选择协变量,建立显著性模型,其Wald χ2 (2, N = 121) = 7.932 (p = 0.020)。共变量为平均GLS强度(HR = 0.897 [95% CI 0.808 ~ 0.997], p = 0.043)和是否存在严重并发症(HR = 2.630 [95% CI 1.087 ~ 6.362], p = 0.032)。结论考虑严重并发症的模型显示,在COVID-19住院患者中,全球平均纵向应变异常预示着住院死亡率的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Left Ventricular Global Longitudinal Strain as a Predictor for Poor Outcomes in Patients Hospitalized for COVID-19 Infection
BACKGROUND Establishing a correlation between left ventricular global longitudinal strain (LV-GLS) with transthoracic echocardiography (TTE), and the severity and outcomes of patients infected with COVID-19 offers several advantages in patient care and management. This study aims to explore the utility of measuring the LV-GLS to predict outcomes in hospitalized patients infected with COVID-19. METHODS This was a retrospective cohort study of COVID-19 patients in a tertiary care center who had a TTE with GLS measurements from April 2021 to May 2021. Comparisons between parameters of left ventricular function (GLS and LVEF) were performed using the t-test or Mann-Whitney U test for continuous variables and the χ2 test or Fisher exact test for categorical variables. Kaplan-Meier survival analysis was used to estimate mortality and length of hospital stay. Log-rank test was used to assess the association of GLS on in-hospital mortality. RESULTS A total of 124 participants were included in the study. 73.2% (90/123) had a decreased GLS; average GLS was -19.2% [-27.6 to -4.7]. A significant model was created using GLS as a main factor with pre-selected co-variates with a Wald χ2 (2, N = 121) = 7.932 (p = .020). Co-variates were average GLS magnitude (HR = 0.897 [95% CI 0.808 to 0.997], p = .0.043) and presence of severe complications (HR = 2.630 [95% CI of 1.087 to 6.362], p = 0.032). CONCLUSION A model considering severe complications showed that among patients admitted for COVID-19 an abnormal average global longitudinal strain predicts increased in-hospital mortality.
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