Key result
3D-RVEF was an independent predictor of mortality in COVID-19 patients (HR 0.809 per 1% increase) and provided incremental prognostic value over conventional right ventricular function parameters.
Why the study?
The prognostic value of 3D echocardiography-derived right ventricular ejection fraction in COVID-19 remained unknown.
Does 3D-RVEF predict mortality in COVID-19 patients?
Cohort (n=159)
No
Does 3D-RVEF predict mortality in COVID-19 patients?
3D-RVEF is a robust independent predictor of mortality in COVID-19 patients, offering incremental prognostic value over conventional right ventricular function parameters.
3D-RVEF may refine mortality risk stratification in COVID-19; hypothesis-generating and requires prospective validation before practice change.
Background: RVEF (right ventricular ejection fraction) measured by three-dimensional echocardiography (3DE) has been used in evaluating right ventricular (RV) function and can provide useful prognostic information in other various cardiovascular diseases. However, the prognostic value of 3D-RVEF in coronavirus disease 2019 (COVID-19) remains unknown. We aimed to investigate whether 3D-RVEF can predict the mortality of COVID-19 patients. Methods: A cohort of 128 COVID-19-confirmed patients who had undergone echocardiography were studied. Thirty-one healthy volunteers were also enrolled as controls. COVID-19 patients were divided into three subgroups (general, severe, and critical) according to COVID-19 severity-of-illness. Conventional RV structure and function parameters, RV free wall longitudinal strain (FWLS) and 3D-RVEF were acquired. RVFWLS was measured by two-dimensional speckle tracking echocardiography. RVEF was acquired by 3DE. Results: Compared with controls, 2D-RVFWLS and 3D-RVEF were both significantly decreased in COVID-19 patients (−27.2 ± 4.4% vs. −22.9 ± 4.8%, P < 0.001; 53.7 ± 4.5% vs. 48.5 ± 5.8%, P < 0.001). Critical patients were more likely to have a higher incidence of acute cardiac injury and acute respiratory distress syndrome (ARDS), and worse prognosis than general and severe patients. The critical patients exhibited larger right-heart chambers, worse RV fractional area change (RVFAC), 2D-RVFWLS, and 3D-RVEF and higher proportion of pulmonary hypertension than general and severe patients. Eighteen patients died during a median follow-up of 91 days. The multivariate Cox regression analysis revealed the acute cardiac injury, ARDS, RVFAC, RVFWLS, and 3D-RVEF were independent predictors of death. 3D-RVEF (chi-square to improve 18.3; P < 0.001), RVFAC (chi-square to improve 4.5; P = 0.034) and 2D-RVFWLS (chi-square to improve 5.1; P = 0.024) all provided additional prognostic value of higher mortality over clinical risk factors. Moreover, the incremental predictive value of 3D-RVEF was significantly (P < 0.05) higher than RVFAC and RVFWLS. Conclusion: 3D-RVEF was the most robust independent predictor of mortality in COVID-19 patients and provided a higher predictive value over conventional RV function parameters and RVFWLS, which may be helpful to identify COVID-19 patients at a higher risk of death.
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Zhang et al. (2021) conducted a cohort in COVID-19 (n=159). Three-dimensional right ventricular ejection fraction (3D-RVEF) vs. Conventional RV function parameters and 2D-RVFWLS was evaluated on Mortality (HR 0.809, 95% CI 0.735-0.889, p=<0.001). 3D-RVEF was an independent predictor of mortality in COVID-19 patients (HR 0.809 per 1% increase) and provided incremental prognostic value over conventional right ventricular function parameters.
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