Journal of the Indian Academy of Echocardiography & Cardiovascular Imaging (Jan 2021)
Spectrum of Echocardiographic Findings in Coronavirus Disease-2019 Patients
Abstract
Background: Although coronavirus disease-2019 (COVID-19) is predominantly a respiratory disease, cardiac involvement occurs commonly, especially in those with more severe illness. Echocardiography is the preferred imaging modality for diagnosing cardiac involvement in COVID-19. However, there are currently no data to describe echocardiographic abnormalities in Indian patients with COVID-19. Methodology: A cross-sectional observational analysis was performed among adult patients admitted to a tertiary care center between May 2020 and August 2020. Patients were included if they underwent transthoracic echocardiography during the hospitalization after a positive reverse transcriptase–polymerase chain reaction diagnosis for COVID-19 pneumonia. Demographic and clinical data were obtained and analyzed along with echocardiographic data. Results: During the study period, consecutive 245 patients were evaluated with echocardiography, of whom 11 were excluded due to nondiagnostic images. The remaining 234 (mean age 57 ± 16 years, 71.7% of men) were included in this analysis. All patients were admitted to intensive care unit or high-dependency unit. Right ventricular (RV) dilatation and/or dysfunction (37%) was the most common finding, followed by left ventricular (LV) systolic and diastolic dysfunction (27.7% and 23.1%, respectively). Pericardial effusion was present in 12% of cases. A total of 49 (20.9%) patients had preexisting LV systolic dysfunction (LVSD). After excluding them, the LVSD and LV diastolic dysfunction were observed in 8.6% and 2.7% of patients, respectively. Conclusions: This study demonstrates that RV dilatation/dysfunction is the most common echocardiographic abnormality in hospitalized patients with severe COVID-19. Further, larger, multicentric studies with systematic data collection and comparison with non-COVID patients are needed to determine the true incidence of echocardiographic abnormalities in COVID-19.
Keywords