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COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany

BACKGROUND: Reported mortality of hospitalised Coronavirus Disease-2019 (COVID-19) patients varies substantially, particularly in critically ill patients. So far COVID-19 in-hospital mortality and modes of death under state of the art care have not been systematically studied. METHODS: This retrospe...

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Autores principales: Rieg, Siegbert, von Cube, Maja, Kalbhenn, Johannes, Utzolino, Stefan, Pernice, Katharina, Bechet, Lena, Baur, Johanna, Lang, Corinna N., Wagner, Dirk, Wolkewitz, Martin, Kern, Winfried V., Biever, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660518/
https://www.ncbi.nlm.nih.gov/pubmed/33180830
http://dx.doi.org/10.1371/journal.pone.0242127
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author Rieg, Siegbert
von Cube, Maja
Kalbhenn, Johannes
Utzolino, Stefan
Pernice, Katharina
Bechet, Lena
Baur, Johanna
Lang, Corinna N.
Wagner, Dirk
Wolkewitz, Martin
Kern, Winfried V.
Biever, Paul
author_facet Rieg, Siegbert
von Cube, Maja
Kalbhenn, Johannes
Utzolino, Stefan
Pernice, Katharina
Bechet, Lena
Baur, Johanna
Lang, Corinna N.
Wagner, Dirk
Wolkewitz, Martin
Kern, Winfried V.
Biever, Paul
author_sort Rieg, Siegbert
collection PubMed
description BACKGROUND: Reported mortality of hospitalised Coronavirus Disease-2019 (COVID-19) patients varies substantially, particularly in critically ill patients. So far COVID-19 in-hospital mortality and modes of death under state of the art care have not been systematically studied. METHODS: This retrospective observational monocenter cohort study was performed after implementation of a non-restricted, dynamic tertiary care model at the University Medical Center Freiburg, an experienced acute respiratory distress syndrome (ARDS) and extracorporeal membrane-oxygenation (ECMO) referral center. All hospitalised patients with PCR-confirmed SARS-CoV-2 infection were included. The primary endpoint was in-hospital mortality, secondary endpoints included major complications and modes of death. A multistate analysis and a Cox regression analysis for competing risk models were performed. Modes of death were determined by two independent reviewers. RESULTS: Between February 25, and May 8, 213 patients were included in the analysis. The median age was 65 years, 129 patients (61%) were male. 70 patients (33%) were admitted to the intensive care unit (ICU), of which 57 patients (81%) received mechanical ventilation and 23 patients (33%) ECMO support. Using multistate methodology, the estimated probability to die within 90 days after COVID-19 onset was 24% in the whole cohort. If the levels of care at time of study entry were accounted for, the probabilities to die were 16% if the patient was initially on a regular ward, 47% if in the intensive care unit (ICU) and 57% if mechanical ventilation was required at study entry. Age ≥65 years and male sex were predictors for in-hospital death. Predominant complications–as judged by two independent reviewers–determining modes of death were multi-organ failure, septic shock and thromboembolic and hemorrhagic complications. CONCLUSION: In a dynamic care model COVID-19-related in-hospital mortality remained very high. In the absence of potent antiviral agents, strategies to alleviate or prevent the identified complications should be investigated. In this context, multistate analyses enable comparison of models-of-care and treatment strategies and allow estimation and allocation of health care resources.
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spelling pubmed-76605182020-11-18 COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany Rieg, Siegbert von Cube, Maja Kalbhenn, Johannes Utzolino, Stefan Pernice, Katharina Bechet, Lena Baur, Johanna Lang, Corinna N. Wagner, Dirk Wolkewitz, Martin Kern, Winfried V. Biever, Paul PLoS One Research Article BACKGROUND: Reported mortality of hospitalised Coronavirus Disease-2019 (COVID-19) patients varies substantially, particularly in critically ill patients. So far COVID-19 in-hospital mortality and modes of death under state of the art care have not been systematically studied. METHODS: This retrospective observational monocenter cohort study was performed after implementation of a non-restricted, dynamic tertiary care model at the University Medical Center Freiburg, an experienced acute respiratory distress syndrome (ARDS) and extracorporeal membrane-oxygenation (ECMO) referral center. All hospitalised patients with PCR-confirmed SARS-CoV-2 infection were included. The primary endpoint was in-hospital mortality, secondary endpoints included major complications and modes of death. A multistate analysis and a Cox regression analysis for competing risk models were performed. Modes of death were determined by two independent reviewers. RESULTS: Between February 25, and May 8, 213 patients were included in the analysis. The median age was 65 years, 129 patients (61%) were male. 70 patients (33%) were admitted to the intensive care unit (ICU), of which 57 patients (81%) received mechanical ventilation and 23 patients (33%) ECMO support. Using multistate methodology, the estimated probability to die within 90 days after COVID-19 onset was 24% in the whole cohort. If the levels of care at time of study entry were accounted for, the probabilities to die were 16% if the patient was initially on a regular ward, 47% if in the intensive care unit (ICU) and 57% if mechanical ventilation was required at study entry. Age ≥65 years and male sex were predictors for in-hospital death. Predominant complications–as judged by two independent reviewers–determining modes of death were multi-organ failure, septic shock and thromboembolic and hemorrhagic complications. CONCLUSION: In a dynamic care model COVID-19-related in-hospital mortality remained very high. In the absence of potent antiviral agents, strategies to alleviate or prevent the identified complications should be investigated. In this context, multistate analyses enable comparison of models-of-care and treatment strategies and allow estimation and allocation of health care resources. Public Library of Science 2020-11-12 /pmc/articles/PMC7660518/ /pubmed/33180830 http://dx.doi.org/10.1371/journal.pone.0242127 Text en © 2020 Rieg et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rieg, Siegbert
von Cube, Maja
Kalbhenn, Johannes
Utzolino, Stefan
Pernice, Katharina
Bechet, Lena
Baur, Johanna
Lang, Corinna N.
Wagner, Dirk
Wolkewitz, Martin
Kern, Winfried V.
Biever, Paul
COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany
title COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany
title_full COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany
title_fullStr COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany
title_full_unstemmed COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany
title_short COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany
title_sort covid-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in germany
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660518/
https://www.ncbi.nlm.nih.gov/pubmed/33180830
http://dx.doi.org/10.1371/journal.pone.0242127
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