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

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 o...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/27c32bf115f746fabd06b9e711550dd3
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spelling	oai:doaj.org-article:27c32bf115f746fabd06b9e711550dd32021-12-02T19:16:59ZCardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction10.1038/s41598-021-98773-42045-2322https://doaj.org/article/27c32bf115f746fabd06b9e711550dd32021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98773-4https://doaj.org/toc/2045-2322Abstract 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 < 50% occurred in 3.4%, abnormal LV global longitudinal strain (< 16%) in 24%, and diastolic dysfunction in 20%. Right ventricular systolic dysfunction (RV free wall strain < 20%) was noted in 18%. Moderate and large pericardial effusion were uncommon with an incidence of 0.4% for each category. Forty patients received ECMO support, and 79 died (10.9%). A stepwise increase in AUC was observed with addition of vital signs and laboratory measurements to baseline clinical characteristics, and a further significant increase (AUC 0.91) was observed when echocardiographic measurements were added. The performance of an optimized prediction model was similar to the model including baseline characteristics + vital signs and laboratory results + echocardiographic measurements.Payam PournazariAlison L. SpanglerFawzi AmeerKobina K. HaganMauricio E. TanoMohammed Chamsi-PashaLakshmi H. ChebroluWilliam A. ZoghbiKhurram NasirSherif F. NaguehNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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 Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction
description	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 < 50% occurred in 3.4%, abnormal LV global longitudinal strain (< 16%) in 24%, and diastolic dysfunction in 20%. Right ventricular systolic dysfunction (RV free wall strain < 20%) was noted in 18%. Moderate and large pericardial effusion were uncommon with an incidence of 0.4% for each category. Forty patients received ECMO support, and 79 died (10.9%). A stepwise increase in AUC was observed with addition of vital signs and laboratory measurements to baseline clinical characteristics, and a further significant increase (AUC 0.91) was observed when echocardiographic measurements were added. The performance of an optimized prediction model was similar to the model including baseline characteristics + vital signs and laboratory results + echocardiographic measurements.
format	article
author	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
author_facet	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
author_sort	Payam Pournazari
title	Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction
title_short	Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction
title_full	Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction
title_fullStr	Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction
title_full_unstemmed	Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction
title_sort	cardiac involvement in hospitalized patients with covid-19 and its incremental value in outcomes prediction
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/27c32bf115f746fabd06b9e711550dd3
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Cardiac involvement in hospitalized patients with COVID-19 and its incremental value in outcomes prediction

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