Unknown

Dataset Information

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.


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

SUBMITTER: Haarhaus M 

PROVIDER: S-EPMC7929029 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature