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

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

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.

Bibliographical data

Original languageEnglish
ISSN0300-5771
DOIs
Publication statusPublished - 19.04.2023

Comment Deanary

© The Author(s) 2023. Published by Oxford University Press on behalf of the International Epidemiological Association.

PubMed 36850054