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

Kartsonaki, Christiana, Baillie, J Kenneth, Barrio, Noelia García, Baruch, Joaquín, Beane, Abigail, Blumberg, Lucille, Bozza, Fernando, Broadley, Tessa, Burrell, Aidan, Carson, Gail, Citarella, Barbara Wanjiru, Dagens, Andrew, Dankwa, Emmanuelle A, Donnelly, Christl A, Dunning, Jake, Elotmani, Loubna, Escher, Martina, Farshait, Nataly, Goffard, Jean-Christophe, Gonçalves, Bronner P, Hall, Matthew, Hashmi, Madiha, Sim Lim Heng, Benedict, Ho, Antonia, Jassat, Waasila, Pedrera Jiménez, Miguel, Laouenan, Cedric, Lissauer, Samantha, Martin-Loeches, Ignacio, Mentré, France, Merson, Laura, Morton, Ben ORCID: https://orcid.org/0000-0002-6164-2854, Munblit, Daniel, Nekliudov, Nikita A, Nichol, Alistair D, Singh Oinam, Budha Charan, Ong, David, Panda, Prasan Kumar, Petrovic, Michele, Pritchard, Mark G, Ramakrishnan, Nagarajan, Ramos, Grazielle Viana, Roger, Claire, Sandulescu, Oana, Semple, Malcolm G, Sharma, Pratima, Sigfrid, Louise, Somers, Emily C, Streinu-Cercel, Anca, Taccone, Fabio, Vecham, Pavan Kumar, Kumar Tirupakuzhi Vijayaraghavan, Bharath, Wei, Jia, Wils, Evert-Jan, Ci Wong, Xin, Horby, Peter, Rojek, Amanda and Olliaro, Piero L (2023) 'Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19'. International Journal of Epidemiology, Vol 52, Issue 2, pp. 355-376.

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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.

Item Type:	Article
Subjects:	WC Communicable Diseases > WC 20 Research (General) WC Communicable Diseases > Virus Diseases > Viral Respiratory Tract Infections. Respirovirus Infections > WC 506 COVID-19
Faculty: Department:	Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI):	https://doi.org/10.1093/ije/dyad012
Depositing User:	Lynn Roberts-Maloney
Date Deposited:	02 Mar 2023 15:40
Last Modified:	25 Apr 2023 12:40
URI:	https://archive.lstmed.ac.uk/id/eprint/22065

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