COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany
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. This retrospective observational m...
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creator | 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 |
description | 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.
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.
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.
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. |
doi_str_mv | 10.1371/journal.pone.0242127 |
format | Article |
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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.
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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0242127</identifier><identifier>PMID: 33180830</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Aged, 80 and over ; Antiviral agents ; Attorneys ; Betacoronavirus ; Biology and Life Sciences ; Care and treatment ; Complications ; Coronavirus Infections - mortality ; Coronaviruses ; COVID-19 ; Death ; Extracorporeal Membrane Oxygenation ; Female ; Germany - epidemiology ; Health care ; Health care facilities ; Health risks ; Hemorrhage ; Hospital Mortality ; Humans ; Intensive Care Units ; Male ; Mechanical ventilation ; Medicine and Health Sciences ; Middle Aged ; Models, Statistical ; Mortality ; Oxygenation ; Pandemics ; Patient outcomes ; Patients ; Pneumonia, Viral - mortality ; Regression analysis ; Respiration, Artificial ; Respiratory distress syndrome ; Retrospective Studies ; SARS-CoV-2 ; Sepsis ; Septic shock ; Severe acute respiratory syndrome coronavirus 2 ; Statistical analysis ; Tertiary Healthcare ; Thromboembolism ; Ventilation ; Viral diseases</subject><ispartof>PloS one, 2020-11, Vol.15 (11), p.e0242127-e0242127</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Rieg et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Rieg et al 2020 Rieg et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-ac0645804f972d96830bfe1f8aa439e961a516c5055ea7ed21232acdf6931c3d3</citedby><cites>FETCH-LOGICAL-c758t-ac0645804f972d96830bfe1f8aa439e961a516c5055ea7ed21232acdf6931c3d3</cites><orcidid>0000-0001-7493-7080</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660518/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660518/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33180830$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rieg, Siegbert</creatorcontrib><creatorcontrib>von Cube, Maja</creatorcontrib><creatorcontrib>Kalbhenn, Johannes</creatorcontrib><creatorcontrib>Utzolino, Stefan</creatorcontrib><creatorcontrib>Pernice, Katharina</creatorcontrib><creatorcontrib>Bechet, Lena</creatorcontrib><creatorcontrib>Baur, Johanna</creatorcontrib><creatorcontrib>Lang, Corinna N</creatorcontrib><creatorcontrib>Wagner, Dirk</creatorcontrib><creatorcontrib>Wolkewitz, Martin</creatorcontrib><creatorcontrib>Kern, Winfried V</creatorcontrib><creatorcontrib>Biever, Paul</creatorcontrib><creatorcontrib>COVID UKF Study Group</creatorcontrib><creatorcontrib>on behalf of the COVID UKF Study Group</creatorcontrib><title>COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.
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.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Antiviral agents</subject><subject>Attorneys</subject><subject>Betacoronavirus</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>Complications</subject><subject>Coronavirus Infections - mortality</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Death</subject><subject>Extracorporeal Membrane Oxygenation</subject><subject>Female</subject><subject>Germany - epidemiology</subject><subject>Health care</subject><subject>Health care facilities</subject><subject>Health risks</subject><subject>Hemorrhage</subject><subject>Hospital Mortality</subject><subject>Humans</subject><subject>Intensive Care Units</subject><subject>Male</subject><subject>Mechanical ventilation</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Mortality</subject><subject>Oxygenation</subject><subject>Pandemics</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Pneumonia, Viral - mortality</subject><subject>Regression analysis</subject><subject>Respiration, Artificial</subject><subject>Respiratory distress syndrome</subject><subject>Retrospective Studies</subject><subject>SARS-CoV-2</subject><subject>Sepsis</subject><subject>Septic shock</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Statistical analysis</subject><subject>Tertiary Healthcare</subject><subject>Thromboembolism</subject><subject>Ventilation</subject><subject>Viral 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of the COVID UKF Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-11-12</date><risdate>2020</risdate><volume>15</volume><issue>11</issue><spage>e0242127</spage><epage>e0242127</epage><pages>e0242127-e0242127</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33180830</pmid><doi>10.1371/journal.pone.0242127</doi><tpages>e0242127</tpages><orcidid>https://orcid.org/0000-0001-7493-7080</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-11, Vol.15 (11), p.e0242127-e0242127 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2460089688 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Aged Aged, 80 and over Antiviral agents Attorneys Betacoronavirus Biology and Life Sciences Care and treatment Complications Coronavirus Infections - mortality Coronaviruses COVID-19 Death Extracorporeal Membrane Oxygenation Female Germany - epidemiology Health care Health care facilities Health risks Hemorrhage Hospital Mortality Humans Intensive Care Units Male Mechanical ventilation Medicine and Health Sciences Middle Aged Models, Statistical Mortality Oxygenation Pandemics Patient outcomes Patients Pneumonia, Viral - mortality Regression analysis Respiration, Artificial Respiratory distress syndrome Retrospective Studies SARS-CoV-2 Sepsis Septic shock Severe acute respiratory syndrome coronavirus 2 Statistical analysis Tertiary Healthcare Thromboembolism Ventilation Viral diseases |
title | COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany |
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