Please use this identifier to cite or link to this item:
http://repo.knmu.edu.ua/handle/123456789/32627
Title: | Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19 |
Authors: | Gavrylov, Anatoliy Tieroshyn, Vadym Kartsonaki, C. Baillie, J.K. Barrio, N.G. Zoufaly, A. Zucman, D. ISARIC Clinical Characterisation Group |
Keywords: | COVID-19 SARS-CoV-2 cohort study risk of death co-morbidities symptoms treatments 2023а |
Issue Date: | 28-Feb-2023 |
Citation: | Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19 / C. Kartsonaki, J. K. Baillie, N. G. Barrio [at al.] // International Journal of Epidemiology. ─ 2023. ─ Vol. 52, № 2. ─ P. 355–376. |
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 wasassociated 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. |
URI: | http://repo.knmu.edu.ua/handle/123456789/32627 |
Appears in Collections: | Наукові праці. Кафедра дитячих інфекційних хвороб |
Files in This Item:
File | Description | Size | Format | |
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Epidemiology.pdf | 1,38 MB | Adobe PDF | View/Open |
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