ABSTRACT
Background: As automated echocardiographic analysis is increasingly utilized, continued evaluation within hospital settings is important to further understand its potential value. The importance of cardiac involvement in patients hospitalized with COVID-19 provides an opportunity to evaluate the feasibility and clinical relevance of automated analysis applied to limited echocardiograms. Methods: In this multisite US cohort, the feasibility of automated AI analysis was evaluated on 558 limited echocardiograms in patients hospitalized with COVID-19. Reliability of automated assessment of left ventricular (LV) volumes, ejection fraction (EF), and LV longitudinal strain (LS) was assessed against clinically obtained measures and echocardiographic findings. Automated measures were evaluated against patient outcomes using ROC analysis, survival modeling, and logistic regression for the outcomes of 30-day mortality and in-hospital sequelae. Results: Feasibility of automated analysis for both LVEF and LS was 87.5% (488/558 patients). AI analysis was performed with biplane method in 300 (61.5%) and single plane apical 4- or 2-chamber analysis in 136 (27.9%) and 52 (10.7%) studies, respectively. Clinical LVEF was assessed using visual estimation in 192 (39.3%), biplane in 163 (33.4%), and single plane or linear methods in 104 (21.2%) of the 488 studies; 29 (5.9%) studies did not have clinically reported LVEF. LV LS was clinically reported in 80 (16.4%). Consistency between automated and clinical values demonstrated Pearson's R, root mean square error (RMSE) and intraclass correlation coefficient (ICC) of 0.61, 11.3% and 0.72, respectively, for LVEF; 0.73, 3.9% and 0.74, respectively for LS; 0.76, 24.4ml and 0.87, respectively, for end-diastolic volume; and 0.82, 12.8 ml, and 0.91, respectively, for end-systolic volume. Abnormal automated measures of LVEF and LS were associated with LV wall motion abnormalities, left atrial enlargement, and right ventricular dysfunction. Automated analysis was associated with outcomes, including survival. Conclusion: Automated analysis was highly feasible on limited echocardiograms using abbreviated protocols, consistent with equivalent clinically obtained metrics, and associated with echocardiographic abnormalities and patient outcomes.
ABSTRACT
The effects of COVID-19 on the cardiovascular system remains understudied given the early stage of the pandemic. Several case series and case reports have been published on COVID-19 related cardiomyopathies; however, there is often a lack of baseline echocardiographic data confirming a normal cardiac health prior to infection. Here we examine four patients with preserved left ventricular systolic function on prior echocardiogram who developed de novo cardiomyopathies which following COVID-19 infection. The study comprised of four individuals with an average age of 80.5 years, 75% of which were white males. 50% of cases were suspected to have Takotsubo CM vs. myocarditis while the remaining half were diagnosed as myocarditis. Left ventricular systolic function dropped from a normal range to an average of 30% during COVID-19 infection in these individuals. Moreover, half of the cases later died. In conclusion, the COVID-19 pandemic has demonstrated its ability to cause several serious cardiovascular complications with associated worsening of prognosis. Repeat TTE showed recovery of systolic function in 50% of the patients included. There does not appear to be any correlation between COVID-19 related treatments, age, or level of inflammatory markers in those who recovered systolic function versus those who remained depressed. Given the minimal literature on this topic, it is evident more information is needed to help advance treatment and understanding of COVID-19 induced cardiomyopathies; particularly if the vaccination fails to protect against novel strains of COVID-19 and the virus becomes endemic.