Download
s12630-022-02304-2.pdf 296,12KB
WeightNameValue
1000 Titel
  • Sex-specific treatment characteristics and 30-day mortality outcomes of critically ill COVID-19 patients over 70 years of age—results from the prospective COVIP study
1000 Titelzusatz
  • Caractéristiques des traitements en fonction du sexe et résultats de mortalité à 30 jours des patients atteints de COVID-19 gravement malades de plus de 70 ans—résultats de l’étude prospective COVIP
1000 Autor/in
  1. Wolff, Georg |
  2. Wernly, Bernhard |
  3. Flaatten, Hans |
  4. Fjølner, Jesper |
  5. Bruno, Raphael Romano |
  6. Artigas, Antonio |
  7. Pinto, Bernardo Bollen |
  8. Schefold, Joerg C. |
  9. Kelm, Malte |
  10. Binneboessel, Stephan |
  11. Baldia, Philipp |
  12. Beil, Michael |
  13. Sivri, Sigal |
  14. van Heerden, Peter Vernon |
  15. Szczeklik, Wojciech |
  16. Elhadi, Muhammed |
  17. Joannidis, Michael |
  18. Oeyen, Sandra |
  19. Flamm, Maria |
  20. Zafeiridis, Tilemachos |
  21. Marsh, Brian |
  22. Andersen, Finn H. |
  23. Moreno, Rui |
  24. Boumendil, Ariane |
  25. De Lange, Dylan W. |
  26. Guidet, Bertrand |
  27. Leaver, Susannah |
  28. Jung, Christian |
  29. the COVIP Study Group |
1000 Verlag Springer International Publishing
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-08-09
1000 Erschienen in
1000 Quellenangabe
  • 69(11):1390-1398
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s12630-022-02304-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363137/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Purpose!#!Older critically ill patients with COVID-19 have been the most vulnerable during the ongoing pandemic, with men being more prone to hospitalization and severe disease than women. We aimed to explore sex-specific differences in treatment and outcome after intensive care unit (ICU) admission in this cohort.!##!Methods!#!We performed a sex-specific analysis in critically ill patients ≥ 70 yr of age with COVID-19 who were included in the international prospective multicenter COVIP study. All patients were analyzed for ICU admission and treatment characteristics. We performed a multilevel adjusted regression analysis to elucidate associations of sex with 30-day mortality.!##!Results!#!A total of 3,159 patients (69.8% male, 30.2% female; median age, 75 yr) were included. Male patients were significantly fitter than female patients as determined by the Clinical Frailty Scale (fit, 67% vs 54%; vulnerable, 14% vs 19%; frail, 19% vs 27%; P < 0.001). Male patients more often underwent tracheostomy (20% vs 14%; odds ratio [OR], 1.57; P < 0.001), vasopressor therapy (69% vs 62%; OR, 1.25; P = 0.02), and renal replacement therapy (17% vs 11%; OR, 1.96; P < 0.001). There was no difference in mechanical ventilation, life-sustaining treatment limitations, and crude 30-day mortality (50% male vs 49% female; OR, 1.11; P = 0.19), which remained true after adjustment for disease severity, frailty, age and treatment limitations (OR, 1.17; 95% confidence interval, 0.94 to 1.45; P = 0.16).!##!Conclusion!#!In this analysis of sex-specific treatment characteristics and 30-day mortality outcomes of critically ill patients with COVID-19 ≥ 70 yr of age, we found more tracheostomy and renal replacement therapy in male vs female patients, but no significant association of patient sex with 30-day mortality.!##!Study registration!#!www.!##!Clinicaltrials!#!gov (NCT04321265); registered 25 March 2020).
1000 Sacherschließung
lokal critical illness
gnd 1206347392 COVID-19
lokal Female [MeSH]
lokal Aged, 80 and over [MeSH]
lokal Aged [MeSH]
lokal mortality
lokal Humans [MeSH]
lokal Prospective Studies [MeSH]
lokal Critical Care Medicine
lokal Reports of Original Investigations
lokal COVID-19
lokal COVID
lokal COVID-19/therapy [MeSH]
lokal Frailty [MeSH]
lokal Pandemics [MeSH]
lokal Critical Illness [MeSH]
lokal COVIP
lokal Medical and Health Sciences
lokal Male [MeSH]
lokal Intensive Care Units [MeSH]
lokal elderly
lokal sex
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-1734-6177|https://frl.publisso.de/adhoc/uri/V2Vybmx5LCBCZXJuaGFyZA==|https://frl.publisso.de/adhoc/uri/RmxhYXR0ZW4sIEhhbnM=|https://frl.publisso.de/adhoc/uri/RmrDuGxuZXIsIEplc3Blcg==|https://frl.publisso.de/adhoc/uri/QnJ1bm8sIFJhcGhhZWwgUm9tYW5v|https://frl.publisso.de/adhoc/uri/QXJ0aWdhcywgQW50b25pbw==|https://frl.publisso.de/adhoc/uri/UGludG8sIEJlcm5hcmRvIEJvbGxlbg==|https://frl.publisso.de/adhoc/uri/U2NoZWZvbGQsIEpvZXJnIEMu|https://frl.publisso.de/adhoc/uri/S2VsbSwgTWFsdGU=|https://frl.publisso.de/adhoc/uri/QmlubmVib2Vzc2VsLCBTdGVwaGFu|https://frl.publisso.de/adhoc/uri/QmFsZGlhLCBQaGlsaXBw|https://frl.publisso.de/adhoc/uri/QmVpbCwgTWljaGFlbA==|https://frl.publisso.de/adhoc/uri/U2l2cmksIFNpZ2Fs|https://frl.publisso.de/adhoc/uri/dmFuIEhlZXJkZW4sIFBldGVyIFZlcm5vbg==|https://frl.publisso.de/adhoc/uri/U3pjemVrbGlrLCBXb2pjaWVjaA==|https://frl.publisso.de/adhoc/uri/RWxoYWRpLCBNdWhhbW1lZA==|https://frl.publisso.de/adhoc/uri/Sm9hbm5pZGlzLCBNaWNoYWVs|https://frl.publisso.de/adhoc/uri/T2V5ZW4sIFNhbmRyYQ==|https://frl.publisso.de/adhoc/uri/RmxhbW0sIE1hcmlh|https://frl.publisso.de/adhoc/uri/WmFmZWlyaWRpcywgVGlsZW1hY2hvcw==|https://frl.publisso.de/adhoc/uri/TWFyc2gsIEJyaWFu|https://frl.publisso.de/adhoc/uri/QW5kZXJzZW4sIEZpbm4gSC4=|https://frl.publisso.de/adhoc/uri/TW9yZW5vLCBSdWk=|https://frl.publisso.de/adhoc/uri/Qm91bWVuZGlsLCBBcmlhbmU=|https://frl.publisso.de/adhoc/uri/RGUgTGFuZ2UsIER5bGFuIFcu|https://frl.publisso.de/adhoc/uri/R3VpZGV0LCBCZXJ0cmFuZA==|https://frl.publisso.de/adhoc/uri/TGVhdmVyLCBTdXNhbm5haA==|https://orcid.org/0000-0001-8325-250X|https://frl.publisso.de/adhoc/uri/dGhlIENPVklQIFN0dWR5IEdyb3Vw
1000 Hinweis
  • DeepGreen-ID: 8d33815174184a748f112ce4a21575c7 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Assistance Publique - Hôpitaux de Paris |
  2. Norway health region west |
  3. H2020 European Research Council |
  4. Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf |
  5. Universitätsklinikum Düsseldorf. Anstalt öffentlichen Rechts |
1000 Fördernummer
  1. -
  2. -
  3. -
  4. -
  5. -
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Assistance Publique - Hôpitaux de Paris |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Norway health region west |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer H2020 European Research Council |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Universitätsklinikum Düsseldorf. Anstalt öffentlichen Rechts |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6487796.rdf
1000 Erstellt am 2024-10-03T08:32:21.803+0200
1000 Erstellt von 322
1000 beschreibt frl:6487796
1000 Zuletzt bearbeitet 2025-08-13T23:35:13.160+0200
1000 Objekt bearb. Wed Aug 13 23:35:13 CEST 2025
1000 Vgl. frl:6487796
1000 Oai Id
  1. oai:frl.publisso.de:frl:6487796 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source