Statistical analyses
Continuous variables are presented as mean ± standard deviation and compared using independent samples t-tests. Categorical variables were expressed as frequencies and compared using chi-square tests. To examine mortality, we divided our study population into 4 groups: 1) COVID+ with ATA, 2) COVID+ without ATA, 3) COVID- with ATA, and 4) COVID- without ATA. Individual logistic regression models were constructed using the COVID- without ATA group as the referent. Models were adjusted for age, sex, race, body mass index, and clinical characteristics that varied by COVID status (systolic heart failure, diastolic heart failure, atrial fibrillation, chronic kidney disease, diabetes, chronic obstructive pulmonary disease, cirrhosis, and tobacco use). All tests were two-tailed, and a P value <.05 (seta priori ) was considered statistically significant. All statistical analyses and graphics creations were performed using SPSS Statistics version 26 software (IBM Corp., Armonk, NY, USA) and GraphPad Prism v. 7.0 (GraphPad Software, San Diego, CA, USA).