Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)

Abstract An accurate prediction of the clinical outcomes of European patients requiring hospitalisation for Coronavirus Disease 2019 (COVID-19) is lacking. The aim of the study is to identify predictors of in-hospital mortality and discharge in a cohort of Lombardy patients with COVID-19. All consec...

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Autores principales:	Valentina Zuccaro, Ciro Celsa, Margherita Sambo, Salvatore Battaglia, Paolo Sacchi, Simona Biscarini, Pietro Valsecchi, Teresa Chiara Pieri, Ilaria Gallazzi, Marta Colaneri, Michele Sachs, Silvia Roda, Erika Asperges, Matteo Lupi, Alessandro Di Filippo, Elena Seminari, Angela Di Matteo, Stefano Novati, Laura Maiocchi, Marco Enea, Massimo Attanasio, Calogero Cammà, Raffaele Bruno
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9a0f24734a7545488ea94e28c19a055f
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spelling	oai:doaj.org-article:9a0f24734a7545488ea94e28c19a055f2021-12-02T14:02:33ZCompeting-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)10.1038/s41598-020-80679-22045-2322https://doaj.org/article/9a0f24734a7545488ea94e28c19a055f2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80679-2https://doaj.org/toc/2045-2322Abstract An accurate prediction of the clinical outcomes of European patients requiring hospitalisation for Coronavirus Disease 2019 (COVID-19) is lacking. The aim of the study is to identify predictors of in-hospital mortality and discharge in a cohort of Lombardy patients with COVID-19. All consecutive hospitalised patients from February 21st to March 30th, 2020, with confirmed COVID-19 from the IRCCS Policlinico San Matteo, Pavia, Lombardy, Italy, were included. In-hospital mortality and discharge were evaluated by competing risk analysis. The Fine and Gray model was fitted in order to estimate the effect of covariates on the cumulative incidence functions (CIFs) for in-hospital mortality and discharge. 426 adult patients [median age 68 (IQR 56 to 77 years)] were admitted with confirmed COVID-19 over a 5-week period; 292 (69%) were male. By 21 April 2020, 141 (33%) of these patients had died, 239 (56%) patients had been discharged and 46 (11%) were still hospitalised. Among these 46 patients, updated as of 30 May, 2020, 5 (10.9%) had died, 8 (17.4%) were still in ICU, 12 (26.1%) were transferred to lower intensity care units and 21 (45.7%) were discharged. Regression on the CIFs for in-hospital mortality showed that older age, male sex, number of comorbidities and hospital admission after March 4th were independent risk factors associated with in-hospital mortality. Older age, male sex and number of comorbidities definitively predicted in-hospital mortality in hospitalised patients with COVID-19.Valentina ZuccaroCiro CelsaMargherita SamboSalvatore BattagliaPaolo SacchiSimona BiscariniPietro ValsecchiTeresa Chiara PieriIlaria GallazziMarta ColaneriMichele SachsSilvia RodaErika AspergesMatteo LupiAlessandro Di FilippoElena SeminariAngela Di MatteoStefano NovatiLaura MaiocchiMarco EneaMassimo AttanasioCalogero CammàRaffaele BrunoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Valentina Zuccaro Ciro Celsa Margherita Sambo Salvatore Battaglia Paolo Sacchi Simona Biscarini Pietro Valsecchi Teresa Chiara Pieri Ilaria Gallazzi Marta Colaneri Michele Sachs Silvia Roda Erika Asperges Matteo Lupi Alessandro Di Filippo Elena Seminari Angela Di Matteo Stefano Novati Laura Maiocchi Marco Enea Massimo Attanasio Calogero Cammà Raffaele Bruno Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)
description	Abstract An accurate prediction of the clinical outcomes of European patients requiring hospitalisation for Coronavirus Disease 2019 (COVID-19) is lacking. The aim of the study is to identify predictors of in-hospital mortality and discharge in a cohort of Lombardy patients with COVID-19. All consecutive hospitalised patients from February 21st to March 30th, 2020, with confirmed COVID-19 from the IRCCS Policlinico San Matteo, Pavia, Lombardy, Italy, were included. In-hospital mortality and discharge were evaluated by competing risk analysis. The Fine and Gray model was fitted in order to estimate the effect of covariates on the cumulative incidence functions (CIFs) for in-hospital mortality and discharge. 426 adult patients [median age 68 (IQR 56 to 77 years)] were admitted with confirmed COVID-19 over a 5-week period; 292 (69%) were male. By 21 April 2020, 141 (33%) of these patients had died, 239 (56%) patients had been discharged and 46 (11%) were still hospitalised. Among these 46 patients, updated as of 30 May, 2020, 5 (10.9%) had died, 8 (17.4%) were still in ICU, 12 (26.1%) were transferred to lower intensity care units and 21 (45.7%) were discharged. Regression on the CIFs for in-hospital mortality showed that older age, male sex, number of comorbidities and hospital admission after March 4th were independent risk factors associated with in-hospital mortality. Older age, male sex and number of comorbidities definitively predicted in-hospital mortality in hospitalised patients with COVID-19.
format	article
author	Valentina Zuccaro Ciro Celsa Margherita Sambo Salvatore Battaglia Paolo Sacchi Simona Biscarini Pietro Valsecchi Teresa Chiara Pieri Ilaria Gallazzi Marta Colaneri Michele Sachs Silvia Roda Erika Asperges Matteo Lupi Alessandro Di Filippo Elena Seminari Angela Di Matteo Stefano Novati Laura Maiocchi Marco Enea Massimo Attanasio Calogero Cammà Raffaele Bruno
author_facet	Valentina Zuccaro Ciro Celsa Margherita Sambo Salvatore Battaglia Paolo Sacchi Simona Biscarini Pietro Valsecchi Teresa Chiara Pieri Ilaria Gallazzi Marta Colaneri Michele Sachs Silvia Roda Erika Asperges Matteo Lupi Alessandro Di Filippo Elena Seminari Angela Di Matteo Stefano Novati Laura Maiocchi Marco Enea Massimo Attanasio Calogero Cammà Raffaele Bruno
author_sort	Valentina Zuccaro
title	Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)
title_short	Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)
title_full	Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)
title_fullStr	Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)
title_full_unstemmed	Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)
title_sort	competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a northern italian centre from smatteo covid19 registry (smacore)
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9a0f24734a7545488ea94e28c19a055f
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Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE)

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