Unknown

Dataset Information

Validation of two severity scores as predictors for outcome in Coronavirus Disease 2019 (COVID-19).


ABSTRACT:

Background

An established objective and standardized reporting of clinical severity and disease progression in COVID-19 is still not established. We validated and compared the usefulness of two classification systems reported earlier-a severity grading proposed by Siddiqi and a system from the National Australian COVID-19 guideline. Both had not been validated externally and were now tested for their ability to predict complications.

Methods

In this retrospective, single-centre observational study, patients hospitalized with confirmed COVID-19 across all severity stages were enrolled. The clinical severity was graded at admission and during hospitalization. Multivariate Cox regression was used to identify independent risk factors for mortality, a composite primary (mortality

SUBMITTER: Salbach C 

PROVIDER: S-EPMC7895342 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature