Purpose: To assess the prognostic utility of quantitative 2D-echocardiography, including strain, in patients with COVID-19 disease. Methods: COVID-19-infected patients admitted to the San Paolo University Hospital of Milan that underwent a clinically indicated echocardiographic examination were included in the study. To limit contamination, all measurements were performed offline. Quantitative measurements were obtained by an operator blinded to the clinical data. Results: Among the 49 patients, nonsurvivors (33%) had worse respiratory parameters, index of multiorgan failure, and worse markers of lung involvement. Right ventricular (RV) dysfunction (as assessed by conventional and 2-dimensional speckle tracking) was a common finding and a powerful independent predictor of mortality. At the ROC curve analyses, RV free wall longitudinal strain (LS) showed an AUC
Background The COVID‐19–related pulmonary effects may negatively impact pulmonary hemodynamics and right ventricular function. We examined the prognostic relevance of right ventricular function and right ventricular‐to‐pulmonary circulation coupling assessed by bedside echocardiography in patients hospitalized with COVID‐19 pneumonia and a large spectrum of disease independently of indices of pneumonia severity and left ventricular function. Methods and Results Consecutive COVID‐19 subjects who underwent full cardiac echocardiographic evaluation along with gas analyses and computed tomography scans were included in the study. Measurements were performed offline, and quantitative analyses were obtained by an operator blinded to the clinical data. We analyzed 133 patients (mean age 69±12 years, 57% men). During a mean hospital stay of 26±16 days, 35 patients (26%) died. The mean tricuspid annular plane systolic excursion/pulmonary artery systolic pressure (TAPSE/PASP) ratio was 0.48±0.18 mm/Hg in nonsurvivors and 0.72±0.32 mm/Hg in survivors ( P =0.002). For each 0.1 mm/mm Hg increase in TAPSE/PASP, there was a 27% lower risk of in‐hospital death (hazard ratio [HR], 0.73 [95% CI, 0.59–0.89]; P =0.003). At multivariable analysis, TAPSE/PASP ratio remained a predictor of in‐hospital death after adjustments for age, oxygen partial pressure at arterial gas analysis/fraction of inspired oxygen, left ventricular ejection fraction, and computed tomography lung score. Receiver operating characteristic analysis was used to identify the cutoff value of the TAPSE/PASP ratio, which best specified high‐risk from lower‐risk patients. The best cutoff for predicting in‐hospital mortality was TAPSE/PASP <0.57 mm/mm Hg (75% sensitivity and 70% specificity) and was associated with a >4‐fold increased risk of in‐hospital death (HR, 4.8 [95% CI, 1.7–13.1]; P =0.007). Conclusions In patients hospitalized with COVID‐19 pneumonia, the assessment of right ventricular to pulmonary circulation coupling appears central to disease evolution and prediction of events. TAPSE/PASP ratio plays a mainstay role as prognostic determinant beyond markers of lung injury.
Background Right Ventricular (RV) dysfunction and pulmonary hypertension (PH) are two very likely acute and long term targets of COVID-19 pneumonia, with a potential prognostic implications. Purpose To determine the COVID-19 pneumonia effects on the right ventricular to pulmonary circulation coupling through bedside echocardiography and extend its implications to prognostic assessment. Methods Single-centre study including consecutive subjects hospitalized for COVID-19 pneumonia who underwent a clinical indicated echocardiogram between March 2020 and December 2020. Extensive analysis of cardiac function was performed offline by an operator blinded to clinical data, laboratory findings and CT scans. Results 133 patients were enrolled (mean age 69±12 years, 57% men), 38% of whom already had cardiac disease in their medical history. In-hospital mortality was 26% (35 pts), during a mean hospital stay of 26±16 days. Non survivors had higher pulmonary artery systolic pressure (PASP) and worse RV function, assessed with both standard parameters (i.e. TAPSE) and with the novel speckle tracking analysis by RV-Global Longitudinal Strain (RV-GLS) and RV-Free Wall Longitudinal Strain (RV-FWLS). The combination of these two variables in TAPSE/PASP ratio allows assessment of RV to pulmonary circulation (Pc) coupling and was strongly associated with in-hospital death (HR 0.73, 95% CI 0.59–0.89, p=0.003) and patients with TAPSE/PASP<0.57 mm/mmHg had a more than 4-fold increased risk of in-hospital death (HR 4.8, 95% CI 1.7–13.1, p=0.003). In patients where speckle tracking analysis was feasible, we examined RV-GLS/PASP and RV-FWLS/PASP and found that it was associated with in-hospital mortality. The best cut-offs for predicting in-hospital mortality was 0.51 for RV-GLS/PASP (94% sensitivity and 59% specificity) and 0.49 for RV-free wall LS (87% sensitivity and 70% specificity). At the multivariable analysis RV to Pc remained associated with in-hospital death after adjustments for age, PaO2/FiO2, LVEF, and severity of lung involvement at the CT. Conclusions Either PH and RV dysfunction predict in-hospital mortality in patients with COVID-19 pneumonia. The assessment of RV to Pc coupling, however, better describes the adaptive RV response to increased PASP and gives additional prognostic information in a population with a relevant prevalence of comorbidities. FUNDunding Acknowledgement Type of funding sources: None.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.