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Dataset Information

COVID-19 fatality prediction in people with diabetes and prediabetes using a simple score upon hospital admission.


ABSTRACT:

Aim

To assess predictors of in-hospital mortality in people with prediabetes and diabetes hospitalized for COVID-19 infection and to develop a risk score for identifying those at the greatest risk of a fatal outcome.

Materials and methods

A combined prospective and retrospective, multicentre, cohort study was conducted at 10 sites in Austria in 247 people with diabetes or newly diagnosed prediabetes who were hospitalized with COVID-19. The primary outcome was in-hospital mortality and the predictor variables upon admission included clinical data, co-morbidities of diabetes or laboratory data. Logistic regression analyses were performed to identify significant predictors and to develop a risk score for in-hospital mortality.

Results

The mean age of people hospitalized

SUBMITTER: Sourij H 

PROVIDER: S-EPMC7753560 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature