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.
Original language | English |
---|---|
Pages (from-to) | 355-376 |
Number of pages | 22 |
Journal | International Journal of Epidemiology |
Volume | 52 |
Issue number | 2 |
DOIs | |
Publication status | Published - Apr 2023 |
Keywords
- co-morbidities
- cohort study
- COVID-19
- risk of death
- SARS-CoV-2
- symptoms
- treatments
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In: International Journal of Epidemiology, Vol. 52, No. 2, 04.2023, p. 355-376.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19
AU - Kartsonaki, Christiana
AU - Baillie, J. Kenneth
AU - Barrio, Noelia García
AU - Baruch, Joaquín
AU - Beane, Abigail
AU - Blumberg, Lucille
AU - Bozza, Fernando
AU - Broadley, Tessa
AU - Burrell, Aidan
AU - Carson, Gail
AU - Citarella, Barbara Wanjiru
AU - Dagens, Andrew
AU - Dankwa, Emmanuelle A.
AU - Donnelly, Christl A.
AU - Dunning, Jake
AU - Elotmani, Loubna
AU - Escher, Martina
AU - Farshait, Nataly
AU - Goffard, Jean Christophe
AU - Gonçalves, Bronner P.
AU - Hall, Matthew
AU - Hashmi, Madiha
AU - Heng, Benedict Sim Lim
AU - Ho, Antonia
AU - Jassat, Waasila
AU - Jiménez, Miguel Pedrera
AU - Laouenan, Cedric
AU - Lissauer, Samantha
AU - Martin-Loeches, Ignacio
AU - Mentré, France
AU - Merson, Laura
AU - Morton, Ben
AU - Munblit, Daniel
AU - Nekliudov, Nikita A.
AU - Nichol, Alistair D.
AU - Oinam, Budha Charan Singh
AU - Ong, David
AU - Panda, Prasan Kumar
AU - Petrovic, Michele
AU - Pritchard, Mark G.
AU - Ramakrishnan, Nagarajan
AU - Ramos, Grazielle Viana
AU - Roger, Claire
AU - Sandulescu, Oana
AU - Semple, Malcolm G.
AU - Sharma, Pratima
AU - Sigfrid, Louise
AU - Somers, Emily C.
AU - Streinu-Cercel, Anca
AU - Taccone, Fabio
AU - Vecham, Pavan Kumar
AU - Vijayaraghavan, Bharath Kumar Tirupakuzhi
AU - Wei, Jia
AU - Wils, Evert Jan
AU - Wong, Xin Ci
AU - Horby, Peter
AU - Rojek, Amanda
AU - Olliaro, Piero L.
AU - Abbas, Ali
AU - Abdukahil, Sheryl Ann
AU - Abdulkadir, Nurul Najmee
AU - Abe, Ryuzo
AU - Abel, Laurent
AU - Absil, Lara
AU - Acharya, Subhash
AU - Acker, Andrew
AU - Adam, Elisabeth
AU - Adrião, Diana
AU - Al Ageel, Saleh
AU - Ahmed, Shakeel
AU - Ainscough, Kate
AU - Airlangga, Eka
AU - Aisa, Tharwat
AU - Hssain, Ali Ait
AU - Tamlihat, Younes Ait
AU - Akimoto, Takako
AU - Akmal, Ernita
AU - Al Qasim, Eman
AU - Alalqam, Razi
AU - Alberti, Angela
AU - Al-Dabbous, Tala
AU - Alegesan, Senthilkumar
AU - Alegre, Cynthia
AU - Alessi, Marta
AU - Alex, Beatrice
AU - Alexandre, Kévin
AU - Al-Fares, Abdulrahman
AU - Alfoudri, Huda
AU - Ali, Imran
AU - Ali, Adam
AU - Shah, Naseem Ali
AU - Alidjnou, Kazali Enagnon
AU - Aliudin, Jeffrey
AU - Alkhafajee, Qabas
AU - Allavena, Clotilde
AU - Allou, Nathalie
AU - Altaf, Aneela
AU - Alves, João
AU - Alves, Rita
AU - Alves, João Melo
AU - Amaral, Maria
AU - Amira, Nur
AU - Ampaw, Phoebe
AU - Andini, Roberto
AU - Andréjak, Claire
AU - Angheben, Andrea
AU - Angoulvant, François
AU - Ansart, Séverine
AU - Anthonidass, Sivanesen
AU - Antonelli, Massimo
AU - Antunes De Brito, Carlos Alexandre
AU - Apriyana, Ardiyan
AU - Arabi, Yaseen
AU - Aragao, Irene
AU - Arancibia, Francisco
AU - Araujo, Carolline
AU - Arcadipane, Antonio
AU - Archambault, Patrick
AU - Arenz, Lukas
AU - Arlet, Jean Benoît
AU - Arnold-Day, Christel
AU - Arora, Lovkesh
AU - Arora, Rakesh
AU - Artaud-Macari, Elise
AU - Aryal, Diptesh
AU - Asensio, Angel
AU - Ashraf, Muhammad
AU - Asif, Namra
AU - Asim, Mohammad
AU - Assie, Jean Baptiste
AU - Asyraf, Amirul
AU - Atique, Anika
AU - Attanyake, A. M.Udara Lakshan
AU - Auchabie, Johann
AU - Aumaitre, Hugues
AU - Auvet, Adrien
AU - Azemar, Laurène
AU - Azoulay, Cecile
AU - Bach, Benjamin
AU - Bachelet, Delphine
AU - Badr, Claudine
AU - Baig, Nadia
AU - Baird, J. Kevin
AU - Bak, Erica
AU - Bakakos, Agamemnon
AU - Bakar, Nazreen Abu
AU - Bal, Andriy
AU - Balakrishnan, Mohanaprasanth
AU - Balan, Valeria
AU - Bani-Sadr, Firouzé
AU - Barbalho, Renata
AU - Barbosa, Nicholas Yuri
AU - Barclay, Wendy S.
AU - Barnett, Saef Umar
AU - Barnikel, Michaela
AU - Barrasa, Helena
AU - Barrelet, Audrey
AU - Barrigoto, Cleide
AU - Bartoli, Marie
AU - Bashir, Mustehan
AU - Basmaci, Romain
AU - Basri, Muhammad Fadhli Hassin
AU - Battaglini, Denise
AU - Bauer, Jules
AU - Bautista Rincon, Diego Fernando
AU - Bazan Dow, Denisse
AU - Bedossa, Alexandra
AU - Bee, Ker Hong
AU - Begum, Husna
AU - Behilill, Sylvie
AU - Beishuizen, Albertus
AU - Beljantsev, Aleksandr
AU - Bellemare, David
AU - Beltrame, Anna
AU - Beltrão, Beatriz Amorim
AU - Beluze, Marine
AU - Benech, Nicolas
AU - Benjiman, Lionel Eric
AU - Benkerrou, Dehbia
AU - Bennett, Suzanne
AU - Bento, Luís
AU - Berdal, Jan Erik
AU - Bergeaud, Delphine
AU - Bergin, Hazel
AU - Bernal Sobrino, José Luis
AU - Bertoli, Giulia
AU - Bertolino, Lorenzo
AU - Bessis, Simon
AU - Bevilcaqua, Sybille
AU - Bezulier, Karine
AU - Bhatt, Amar
AU - Bhavsar, Krishna
AU - Bianco, Claudia
AU - Bidin, Farah Nadiah
AU - Bikram Singh, Moirangthem
AU - Bin Humaid, Felwa
AU - Bin Kamarudin, Mohd Nazlin
AU - Bissuel, François
AU - Biston, Patrick
AU - Bitker, Laurent
AU - Bitton, Jonathan
AU - Blanco-Schweizer, Pablo
AU - Blier, Catherine
AU - Bloos, Frank
AU - Blot, Mathieu
AU - Boccia, Filomena
AU - Bodenes, Laetitia
AU - Bogaarts, Alice
AU - Bogaert, Debby
AU - Boivin, Anne Hélène
AU - Bolze, Pierre Adrien
AU - Bompart, François
AU - Bonfasius, Aurelius
AU - Borges, Diogo
AU - Borie, Raphaël
AU - Bosse, Hans Martin
AU - Botelho-Nevers, Elisabeth
AU - Bouadma, Lila
AU - Bouchaud, Olivier
AU - Bouchez, Sabelline
AU - Bouhmani, Dounia
AU - Bouhour, Damien
AU - Bouiller, Kévin
AU - Bouillet, Laurence
AU - Bouisse, Camile
AU - Boureau, Anne Sophie
AU - Bourke, John
AU - Bouscambert, Maude
AU - Bousquet, Aurore
AU - Bouziotis, Jason
AU - Boxma, Bianca
AU - Boyer-Besseyre, Marielle
AU - Boylan, Maria
AU - Braconnier, Axelle
AU - Braga, Cynthia
AU - Brandenburger, Timo
AU - Brás Monteiro, Filipa
AU - Brazzi, Luca
AU - Breen, Patrick
AU - Breen, Dorothy
AU - Brickell, Kathy
AU - Browne, Shaunagh
AU - Browne, Alex
AU - Brozzi, Nicolas
AU - McArthur, Colin
AU - Parke, Rachael
AU - Serpa Neto, Ary
AU - Trapani, Tony
AU - Udy, Andrew
AU - Webb, Steve
AU - ISARIC Clinical Characterisation Group
N1 - Funding Information: This work was made possible by the UK Foreign, Commonwealth and Development Office; Wellcome (215091/Z/18/Z, 205228/Z/16/ Z, 220757/Z/20/Z); Bill & Melinda Gates Foundation (OPP1209135); UK Medical Research Council Clinical Research Training Fellowship (MR/V001671/1); the philanthropic support of the donors to the University of Oxford’s COVID-19 Research Response Fund; CIHR Coronavirus Rapid Research Funding Opportunity (OV2170359) and the co-ordination in Canada by Sunnybrook Research Institute; endorsement of the Irish Critical Care—Clinical Trials Group, co-ordination in Ireland by the Irish Critical Care—Clinical Trials Network at University College Dublin and funding by the Health Research Board of Ireland (CTN-2014–12); the Rapid European COVID-19 Emergency Response research (RECOVER) (H2020 project 101003589) and European Clinical Research Alliance on Infectious Diseases (ECRAID) (965313); the COVID clinical management team, AIIMS, Rishikesh, India; the COVID-19 Clinical Management team, Manipal Hospital Whitefield, Bengaluru, India; Cambridge NIHR Biomedical Research Centre; the dedication and hard work of the Groote Schuur Hospital Covid ICU Team; support by the Groote Schuur nursing and University of Cape Town registrar bodies co-ordinated by the Division of Critical Care at the University of Cape Town; the Liverpool School of Tropical Medicine and the University of Oxford; the dedication and hard work of the Norwegian SARSCoV-2 study team; the Research Council of Norway (grant no. 312780) and a philanthropic donation from Vivaldi Invest A/S owned by Jon Stephenson von Tetzchner; Imperial NIHR Biomedical Research Centre; the Comprehensive Local Research Networks of which PJMO is an NIHR Senior Investigator (NIHR201385); Innovative Medicines Initiative Joint Undertaking under Grant Agreement No. 115523 COMBACTE, resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007– 2013) and EFPIA companies, in-kind contribution; the French COVID cohort (NCT04262921) is sponsored by INSERM and is funded by the REACTing (REsearch & ACtion emergING infectious diseases) consortium and by a grant of the French Ministry of Health (PHRC n 20–0424); Stiftungsfonds zur Förderung der Bekämpfung der Tuberkulose und anderer Lungenkrankheiten of the City of Vienna (project no. APCOV22BGM); Italian Ministry of Health ‘Fondi Ricerca corrente–L1P6’ to IRCCS Ospedale Sacro Cuore–Don Calabria; Australian Department of Health grant (3273191); Gender Equity Strategic Fund at University of Queensland, Artificial Intelligence for Pandemics (A14PAN) at University of Queensland, the Australian Research Council Centre of Excellence for Engineered Quantum Systems (EQUS, CE170100009), the Prince Charles Hospital Foundation, Australia; grants from Instituto de Salud Carlos III, Ministerio de Ciencia, Spain; Brazil, National Council for Scientific and Technological Development (scholarship no. 303953/2018–7); the Firland Foundation, Shoreline, Washington, USA; a grant from foundation Bevordering Onderzoek Franciscus; the South Eastern Norway Health Authority and the Research Council of Norway; and preparedness work conducted by the Short PeRiod IncideNce sTudy of Severe Acute Respiratory Infection. Data and Material provision was supported by grants from the National Institute for Health Research (NIHR; award CO-CIN-01), the Medical Research Council (MRC; grant MC_PC_19059) and by the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at University of Liverpool in partnership with PHE (award no. 200907), NIHR HPRU in Respiratory Infections at Imperial College London with PHE (award no. 200927), Liverpool Experimental Cancer Medicine Centre (grant no. C18616/A25153), NIHR Biomedical Research Centre at Imperial College London (award no. IS-BRC-1215–20013) and NIHR Clinical Research Network providing infrastructure support. Publisher Copyright: © The Author(s) 2023. Published by Oxford University Press on behalf of the International Epidemiological Association.
PY - 2023/4
Y1 - 2023/4
N2 - 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.
AB - 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.
KW - co-morbidities
KW - cohort study
KW - COVID-19
KW - risk of death
KW - SARS-CoV-2
KW - symptoms
KW - treatments
UR - http://www.scopus.com/inward/record.url?scp=85159603496&partnerID=8YFLogxK
U2 - 10.1093/ije/dyad012
DO - 10.1093/ije/dyad012
M3 - Article
C2 - 36850054
AN - SCOPUS:85159603496
SN - 0300-5771
VL - 52
SP - 355
EP - 376
JO - International Journal of Epidemiology
JF - International Journal of Epidemiology
IS - 2
ER -