Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction

Autor: Payam Pournazari, Alison L. Spangler, Fawzi Ameer, Kobina K. Hagan, Mauricio E. Tano, Mohammed Chamsi-Pasha, Lakshmi H. Chebrolu, William A. Zoghbi, Khurram Nasir, Sherif F. Nagueh
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Druh dokumentu: article
ISSN: 2045-2322
DOI: 10.1038/s41598-021-98773-4
Popis: 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
Databáze: Directory of Open Access Journals
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