> Detailanzeige

König, Sebastian [VerfasserIn]; Hohenstein, Sven [VerfasserIn]; Pellissier, Vincent [VerfasserIn]; Leiner, Johannes [VerfasserIn]; Hindricks, Gerhard [VerfasserIn]; Nachtigall, Irit [VerfasserIn]; Kuhlen, Ralf [VerfasserIn]; Bollmann, Andreas [VerfasserIn]

Changing trends of patient characteristics and treatment pathways during the COVID-19 pandemic : A cross-sectional analysis of 72,459 inpatient cases from the German Helios database

Literatur-
verwaltung

Zur
Merkliste

Lösche von
Merkliste

Per Whatsapp teilen

Schließen

Merkliste



Sie können Bookmarks mittels Listen verwalten, loggen Sie sich dafür bitte in Ihr SLUB Benutzerkonto ein.
  • Medientyp: E-Artikel
  • Titel: Changing trends of patient characteristics and treatment pathways during the COVID-19 pandemic : A cross-sectional analysis of 72,459 inpatient cases from the German Helios database
  • Beteiligte: König, Sebastian [VerfasserIn]; Hohenstein, Sven [VerfasserIn]; Pellissier, Vincent [VerfasserIn]; Leiner, Johannes [VerfasserIn]; Hindricks, Gerhard [VerfasserIn]; Nachtigall, Irit [VerfasserIn]; Kuhlen, Ralf [VerfasserIn]; Bollmann, Andreas [VerfasserIn]
  • Erschienen: Lausanne : Frontiers Media S.A., [2024]
  • Sprache: Englisch
  • Schlagwörter: COVID-19 ; in-hospitalmortality ; patient characteristics ; medicine ; administrative data ; trend analysis ; Medizin
  • Entstehung:
  • Anmerkungen: Hinweis: Link zur Erstveröffentlichung URL: https:// doi.org/10.3389/fpubh.2022.1028062
  • Beschreibung: Background: This study compared patient profiles and clinical courses of SARS-CoV-2 infected inpatients over different pandemic periods. Methods: In a retrospective cross-sectional analysis, we examined administrative data of German Helios hospitals using ICD-10-codes at discharge. Inpatient cases with SARS-CoV-2 infection admitted between 03/04/2020 and 07/19/2022 were included irrespective of the reason for hospitalization. All endpoints were timely assigned to admission date for trend analysis. The first pandemic wave was defined by change points in time-series of incident daily infections and compared with different later pandemic phases according to virus type predominance. Results: We included 72,459 inpatient cases. Patients hospitalized during the first pandemic wave (03/04/2020–05/05/2020; n = 1,803) were older (68.5 ± 17.2 vs. 64.4±22.6 years, p<0.01) and severe acute respiratory infections were more prevalent (85.2 vs. 53.3%, p < 0.01). No differences were observed with respect to distribution of sex, but comorbidity burden was higher in the first pandemic wave. The risk of receiving intensive care therapy was reduced in all later pandemic phases as was in-hospital mortality when compared to the first pandemic wave. Trend analysis revealed declines of mean age and Elixhauser comorbidity index over time as well as a decline of the utilization of intensive care therapy, mechanical ventilation and in-hospital mortality. Conclusion: Characteristics and outcomes of inpatients with SARS-CoV-2 infection changed throughout the observational period. An ongoing evaluation of trends and care pathways will allow for the assessment of future demands
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung (CC BY)