Artikel: Risk prediction of COVID-19 incidence and mortality in a large multi-national hemodialysis cohort: implications for management of the pandemic in outpatient hemodialysis settings.
2021 Band 14, Heft 3, Seite(n) 805–813
Abstract: ... prediction models for COVID-19 incidence and mortality among HD patients. We studied 38 256 HD patients from a multi ... modifiable risk factors for COVID-19 incidence and outcome in HD patients. Our risk prediction tools can be ... national dialysis cohort between 3 March and 3 July 2020. Risk prediction models were developed and ...
| Abstract | Background: Experiences from the first wave of the 2019 coronavirus disease (COVID-19) pandemic can aid in the development of future preventive strategies. To date, risk prediction models for COVID-19-related incidence and outcomes in hemodialysis (HD) patients are missing. Methods: We developed risk prediction models for COVID-19 incidence and mortality among HD patients. We studied 38 256 HD patients from a multi-national dialysis cohort between 3 March and 3 July 2020. Risk prediction models were developed and validated, based on predictors readily available in outpatient HD units. We compared mortality among patients with and without COVID-19, matched for age, sex and diabetes. Results: During the observational period, 1259 patients (3.3%) acquired COVID-19. Of these, 62% were hospitalized or died. Mortality was 22% among COVID-19 patients with odds ratios 219.8 [95% confidence interval (CI) 80.6-359] to 342.7 (95% CI 60.6-13 595.1), compared to matched patients without COVID-19. Since the first wave of the pandemic affected most European countries during the study, the risk prediction model for incidence of COVID-19 was developed and validated in European patients only [ Conclusions: We identified modifiable risk factors for COVID-19 incidence and outcome in HD patients. Our risk prediction tools can be readily applied in clinical practice. This can aid in the development of preventive strategies for future waves of COVID-19. |
|||||
|---|---|---|---|---|---|---|
| Sprache | Englisch | |||||
| Erscheinungsdatum | 2021-02-05 | |||||
| Erscheinungsland | England | |||||
| Dokumenttyp | Journal Article | |||||
| ZDB-ID | 2655800-2 | |||||
| ISSN | 2048-8513 ; 2048-8505 | |||||
| ISSN (online) | 2048-8513 | |||||
| ISSN | 2048-8505 | |||||
| DOI | 10.1093/ckj/sfab037 | |||||
| Signatur |
|
|||||
| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
Zusatzmaterialien
Kategorien
Verfügbar in ZB MED Köln/Königswinter
| Zs.A 6587: Hefte anzeigen | Standort: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
Über subito bestellen
Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.