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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2020-11, Vol.15 (11), p.e0242127-e0242127
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0242127
container_issue 11
container_start_page e0242127
container_title PloS one
container_volume 15
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
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2460089688</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A641342755</galeid><doaj_id>oai_doaj_org_article_9ee412c4b75044adb231b70517eb57e3</doaj_id><sourcerecordid>A641342755</sourcerecordid><originalsourceid>FETCH-LOGICAL-c758t-ac0645804f972d96830bfe1f8aa439e961a516c5055ea7ed21232acdf6931c3d3</originalsourceid><addsrcrecordid>eNqNk02P0zAQhiMEYpeFf4AgEhKCQ4odJ3ZyQVoVWCqtVImPvVpTe9J6ldrFdhH99zhtd9WgPaAcHNvP-3pm7Mmyl5RMKBP0w63begv9ZOMsTkhZlbQUj7Jz2rKy4CVhj0_-z7JnIdwSUrOG86fZGWO0IQ0j55mbzm9mnwra5sYWKxc2JkKfr51Pg4m7HKxOM42563KNEFeJyyHXOwtro_bb1tnCY4jeqIg6j-ijAb_LFXjca_tBc4V-DXb3PHvSQR_wxXG8yH5--fxj-rW4nl_NppfXhRJ1EwtQhFd1Q6quFaVueYp10SHtGoCKtdhyCjXlqiZ1jSBQp-RZCUp3vGVUMc0ustcH303vgjzWKsiy4oQ0ya9JxOxAaAe3cuPNOgUtHRi5X3B-KSFlonqULWJFS1UtRE2qCvSiZHQhSE0FLmqBLHl9PJ62XaxRK7TRQz8yHe9Ys5JL91sKzpPNEMy7o4F3v7apmHJtgsK-B4tue4hb8LYRdULf_IM-nN2RWkJKwNjOpXPVYCoveUVZVYp68Jo8QKVPY7rd9LA6k9ZHgvcjQWIi_olL2IYgZ9-__T87vxmzb0_YFUIfV8H122icDWOwOoDKuxA8dvdFpkQOfXFXDTn0hTz2RZK9Or2ge9FdI7C_KcwGgQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2460089688</pqid></control><display><type>article</type><title>COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><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</creator><creatorcontrib>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 UKF Study Group ; on behalf of the COVID UKF Study Group</creatorcontrib><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><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 diseases</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk02P0zAQhiMEYpeFf4AgEhKCQ4odJ3ZyQVoVWCqtVImPvVpTe9J6ldrFdhH99zhtd9WgPaAcHNvP-3pm7Mmyl5RMKBP0w63begv9ZOMsTkhZlbQUj7Jz2rKy4CVhj0_-z7JnIdwSUrOG86fZGWO0IQ0j55mbzm9mnwra5sYWKxc2JkKfr51Pg4m7HKxOM42563KNEFeJyyHXOwtro_bb1tnCY4jeqIg6j-ijAb_LFXjca_tBc4V-DXb3PHvSQR_wxXG8yH5--fxj-rW4nl_NppfXhRJ1EwtQhFd1Q6quFaVueYp10SHtGoCKtdhyCjXlqiZ1jSBQp-RZCUp3vGVUMc0ustcH303vgjzWKsiy4oQ0ya9JxOxAaAe3cuPNOgUtHRi5X3B-KSFlonqULWJFS1UtRE2qCvSiZHQhSE0FLmqBLHl9PJ62XaxRK7TRQz8yHe9Ys5JL91sKzpPNEMy7o4F3v7apmHJtgsK-B4tue4hb8LYRdULf_IM-nN2RWkJKwNjOpXPVYCoveUVZVYp68Jo8QKVPY7rd9LA6k9ZHgvcjQWIi_olL2IYgZ9-__T87vxmzb0_YFUIfV8H122icDWOwOoDKuxA8dvdFpkQOfXFXDTn0hTz2RZK9Or2ge9FdI7C_KcwGgQ</recordid><startdate>20201112</startdate><enddate>20201112</enddate><creator>Rieg, Siegbert</creator><creator>von Cube, Maja</creator><creator>Kalbhenn, Johannes</creator><creator>Utzolino, Stefan</creator><creator>Pernice, Katharina</creator><creator>Bechet, Lena</creator><creator>Baur, Johanna</creator><creator>Lang, Corinna N</creator><creator>Wagner, Dirk</creator><creator>Wolkewitz, Martin</creator><creator>Kern, Winfried V</creator><creator>Biever, Paul</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7493-7080</orcidid></search><sort><creationdate>20201112</creationdate><title>COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-ac0645804f972d96830bfe1f8aa439e961a516c5055ea7ed21232acdf6931c3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Antiviral agents</topic><topic>Attorneys</topic><topic>Betacoronavirus</topic><topic>Biology and Life Sciences</topic><topic>Care and treatment</topic><topic>Complications</topic><topic>Coronavirus Infections - mortality</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Death</topic><topic>Extracorporeal Membrane Oxygenation</topic><topic>Female</topic><topic>Germany - epidemiology</topic><topic>Health care</topic><topic>Health care facilities</topic><topic>Health risks</topic><topic>Hemorrhage</topic><topic>Hospital Mortality</topic><topic>Humans</topic><topic>Intensive Care Units</topic><topic>Male</topic><topic>Mechanical ventilation</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Mortality</topic><topic>Oxygenation</topic><topic>Pandemics</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Pneumonia, Viral - mortality</topic><topic>Regression analysis</topic><topic>Respiration, Artificial</topic><topic>Respiratory distress syndrome</topic><topic>Retrospective Studies</topic><topic>SARS-CoV-2</topic><topic>Sepsis</topic><topic>Septic shock</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Statistical analysis</topic><topic>Tertiary Healthcare</topic><topic>Thromboembolism</topic><topic>Ventilation</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rieg, Siegbert</au><au>von Cube, Maja</au><au>Kalbhenn, Johannes</au><au>Utzolino, Stefan</au><au>Pernice, Katharina</au><au>Bechet, Lena</au><au>Baur, Johanna</au><au>Lang, Corinna N</au><au>Wagner, Dirk</au><au>Wolkewitz, Martin</au><au>Kern, Winfried V</au><au>Biever, Paul</au><aucorp>COVID UKF Study Group</aucorp><aucorp>on behalf 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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T18%3A37%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=COVID-19%20in-hospital%20mortality%20and%20mode%20of%20death%20in%20a%20dynamic%20and%20non-restricted%20tertiary%20care%20model%20in%20Germany&rft.jtitle=PloS%20one&rft.au=Rieg,%20Siegbert&rft.aucorp=COVID%20UKF%20Study%20Group&rft.date=2020-11-12&rft.volume=15&rft.issue=11&rft.spage=e0242127&rft.epage=e0242127&rft.pages=e0242127-e0242127&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0242127&rft_dat=%3Cgale_plos_%3EA641342755%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2460089688&rft_id=info:pmid/33180830&rft_galeid=A641342755&rft_doaj_id=oai_doaj_org_article_9ee412c4b75044adb231b70517eb57e3&rfr_iscdi=true