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Dataset Information

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19.


ABSTRACT:

Background

We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients.

Methods

The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV).

Results

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SUBMITTER: Kartsonaki C 

PROVIDER: S-EPMC10114094 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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