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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

Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%.

Conclusions

Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death.

SUBMITTER: Kartsonaki C 

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

REPOSITORIES: biostudies-literature

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

Kartsonaki Christiana C   Baillie J Kenneth JK   Barrio Noelia García NG   Baruch Joaquín J   Beane Abigail A   Blumberg Lucille L   Bozza Fernando F   Broadley Tessa T   Burrell Aidan A   Carson Gail G   Citarella Barbara Wanjiru BW   Dagens Andrew A   Dankwa Emmanuelle A EA   Donnelly Christl A CA   Dunning Jake J   Elotmani Loubna L   Escher Martina M   Farshait Nataly N   Goffard Jean-Christophe JC   Gonçalves Bronner P BP   Hall Matthew M   Hashmi Madiha M   Sim Lim Heng Benedict B   Ho Antonia A   Jassat Waasila W   Pedrera Jiménez Miguel M   Laouenan Cedric C   Lissauer Samantha S   Martin-Loeches Ignacio I   Mentré France F   Merson Laura L   Morton Ben B   Munblit Daniel D   Nekliudov Nikita A NA   Nichol Alistair D AD   Singh Oinam Budha Charan BC   Ong David D   Panda Prasan Kumar PK   Petrovic Michele M   Pritchard Mark G MG   Ramakrishnan Nagarajan N   Ramos Grazielle Viana GV   Roger Claire C   Sandulescu Oana O   Semple Malcolm G MG   Sharma Pratima P   Sigfrid Louise L   Somers Emily C EC   Streinu-Cercel Anca A   Taccone Fabio F   Vecham Pavan Kumar PK   Kumar Tirupakuzhi Vijayaraghavan Bharath B   Wei Jia J   Wils Evert-Jan EJ   Ci Wong Xin X   Horby Peter P   Rojek Amanda A   Olliaro Piero L PL  

International journal of epidemiology 20230401 2


<h4>Background</h4>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.<h4>Methods</h4>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 t  ...[more]

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