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2023-02-10Zeitschriftenartikel
Disease severity in hospitalized COVID-19 patients: comparing routine surveillance with cohort data from the LEOSS study in 2020 in Germany
dc.contributor.authorKoppe, Uwe
dc.contributor.authorSchilling, Julia
dc.contributor.authorStecher, Melanie
dc.contributor.authorRüthrich, Maria Madeleine
dc.contributor.authorMarquis, Adine
dc.contributor.authorDiercke, Michaela
dc.contributor.authorHaselberger, Martina
dc.contributor.authorKoll, Carolin E. M.
dc.contributor.authorNiebank, Michaela
dc.contributor.authorRuehe, Bettina
dc.contributor.authorBorgmann, Stefan
dc.contributor.authorGrabenhenrich, Linus
dc.contributor.authorHellwig, Kerstin
dc.contributor.authorPilgram, Lisa
dc.contributor.authorSpinner, Christoph D.
dc.contributor.authorPaerisch, Thomas
dc.date.accessioned2023-11-27T14:22:46Z
dc.date.available2023-11-27T14:22:46Z
dc.date.issued2023-02-10none
dc.identifier.otherDisease severity in hospitalized COVID-19 patients: comparing routine surveillance with cohort data from the LEOSS study in 2020 in Germany
dc.identifier.urihttp://edoc.rki.de/176904/11382
dc.description.abstractIntroduction Studies investigating risk factors for severe COVID-19 often lack information on the representativeness of the study population. Here, we investigate factors associated with severe COVID-19 and compare the representativeness of the dataset to the general population. Methods We used data from the Lean European Open Survey on SARS-CoV-2 infected patients (LEOSS) of hospitalized COVID-19 patients diagnosed in 2020 in Germany to identify associated factors for severe COVID-19, defined as progressing to a critical disease stage or death. To assess the representativeness, we compared the LEOSS cohort to cases of hospitalized patients in the German statutory notification data of the same time period. Descriptive methods and Poisson regression models were used. Results Overall, 6672 hospitalized patients from LEOSS and 132,943 hospitalized cases from the German statutory notification data were included. In LEOSS, patients above 76 years were less likely represented (34.3% vs. 44.1%). Moreover, mortality was lower (14.3% vs. 21.5%) especially among age groups above 66 years. Factors associated with a severe COVID-19 disease course in LEOSS included increasing age, male sex (adjusted risk ratio (aRR) 1.69, 95% confidence interval (CI) 1.53–1.86), prior stem cell transplantation (aRR 2.27, 95% CI 1.53–3.38), and an elevated C-reactive protein at day of diagnosis (aRR 2.30, 95% CI 2.03–2.62). Conclusion We identified a broad range of factors associated with severe COVID-19 progression. However, the results may be less applicable for persons above 66 years since they experienced lower mortality in the LEOSS dataset compared to the statutory notification data.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectSARS-CoV-2eng
dc.subjectCOVID-19eng
dc.subjectsevere COVIDeng
dc.subjectLEOSSeng
dc.subjectStatutory notificationeng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleDisease severity in hospitalized COVID-19 patients: comparing routine surveillance with cohort data from the LEOSS study in 2020 in Germanynone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/11382-9
dc.type.versionpublishedVersionnone
local.edoc.container-titleBMC Infectious Diseasesnone
local.edoc.container-issn1471-2334none
local.edoc.pages12none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-urlhttps://bmcinfectdis.biomedcentral.com/none
local.edoc.container-publisher-nameSpringer Naturenone
local.edoc.container-volume23none
local.edoc.container-issueArticle number: 89none
local.edoc.container-reportyear2023none
dc.description.versionPeer Reviewednone

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