Prognostic Value of Right Ventricular Ejection Fraction Assessed by 3D Echocardiography in COVID-19 Patients

Yanting Zhang1,2,3, Wei Sun1,2,3, Chun Wu1,2,3

  • 1Department of Ultrasound, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.

Insights

Three-dimensional right ventricular ejection fraction (3D-RVEF) is a strong predictor of mortality in COVID-19 patients. This measurement offers superior prognostic value compared to conventional right ventricular function parameters, aiding in risk stratification.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Medical Imaging

Background:

  • Right ventricular ejection fraction (RVEF) assessed by 3D echocardiography (3DE) is crucial for evaluating right ventricular (RV) function and prognosis in cardiovascular diseases.
  • The prognostic significance of 3D-RVEF in coronavirus disease 2019 (COVID-19) has not been established.

Purpose of the Study:

  • To determine if 3D-RVEF can predict mortality in COVID-19 patients.
  • To compare the prognostic value of 3D-RVEF with conventional RV function parameters and RV free wall longitudinal strain (FWLS).

Main Methods:

  • A cohort of 128 COVID-19 patients and 31 healthy controls underwent echocardiography.
  • Patients were categorized into general, severe, and critical subgroups based on illness severity.
  • Measurements included conventional RV parameters, 2D-RVFWLS, and 3D-RVEF.

Main Results:

  • COVID-19 patients exhibited significantly decreased 2D-RVFWLS and 3D-RVEF compared to controls.
  • Critical patients showed worse RV function, larger right-heart chambers, and a higher incidence of acute cardiac injury and ARDS.
  • Multivariate analysis identified 3D-RVEF as the most robust independent predictor of mortality, surpassing RVFAC and 2D-RVFWLS in predictive value.

Conclusions:

  • 3D-RVEF is a powerful independent predictor of mortality in COVID-19 patients.
  • 3D-RVEF offers superior prognostic value over conventional RV function parameters and 2D-RVFWLS.
  • This finding can assist in identifying COVID-19 patients at high risk of death.

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