1. Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction
- Author
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Lakshmi Chebrolu, Kobina Hagan, Mohammed A. Chamsi-Pasha, Alison Spangler, Khurram Nasir, Mauricio E. Tano, Payam Pournazari, Sherif F. Nagueh, Fawzi Ameer, and William A. Zoghbi
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Heart Diseases ,medicine.medical_treatment ,Science ,Cardiology ,Vital signs ,Diastole ,Pericardial effusion ,Article ,Machine Learning ,Young Adult ,Extracorporeal Membrane Oxygenation ,Clinical Decision Rules ,Internal medicine ,Extracorporeal membrane oxygenation ,medicine ,Humans ,Hospital Mortality ,Young adult ,Aged ,Retrospective Studies ,Not evaluated ,Multidisciplinary ,business.industry ,Incidence (epidemiology) ,COVID-19 ,Retrospective cohort study ,Middle Aged ,Models, Theoretical ,Prognosis ,medicine.disease ,Cardiovascular biology ,Hospitalization ,ROC Curve ,Echocardiography ,Medicine ,Female ,business - Abstract
Recent reports linked acute COVID-19 infection in hospitalized patients to cardiac abnormalities. Studies have not evaluated presence of abnormal cardiac structure and function before scanning in setting of COVD-19 infection. We sought to examine cardiac abnormalities in consecutive group of patients with acute COVID-19 infection according to the presence or absence of cardiac disease based on review of health records and cardiovascular imaging studies. We looked at independent contribution of imaging findings to clinical outcomes. After excluding patients with previous left ventricular (LV) systolic dysfunction (global and/or segmental), 724 patients were included. Machine learning identified predictors of in-hospital mortality and in-hospital mortality + ECMO. In patients without previous cardiovascular disease, LV EF
- Published
- 2021