An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients

Author:

Gonçalves Bronner P1ORCID,Hall Matthew2ORCID,Jassat Waasila3,Balan Valeria1,Murthy Srinivas4,Kartsonaki Christiana5,Semple Malcolm G67,Rojek Amanda189,Baruch Joaquín1,Reyes Luis Felipe11011,Dasgupta Abhishek1213ORCID,Dunning Jake1,Citarella Barbara Wanjiru1,Pritchard Mark1,Martín-Quiros Alejandro14,Sili Uluhan15ORCID,Baillie J Kenneth1617ORCID,Aryal Diptesh18,Arabi Yaseen19,Rashan Aasiyah20,Angheben Andrea21,Caoili Janice22,Carrier François Martin23242526,Harrison Ewen M27,Gómez-Junyent Joan28,Figueiredo-Mello Claudia29,Douglas James Joshua30,Mat Nor Mohd Basri31ORCID,Chow Yock Ping32,Wong Xin Ci33ORCID,Bertagnolio Silvia34,Thwin Soe Soe34,Streinu-Cercel Anca3536,Salazar Leonardo37,Rishu Asgar38,Rangappa Rajavardhan39,Ong David SY40,Hashmi Madiha41,Carson Gail1,Diaz Janet34,Fowler Rob38,Kraemer Moritz UG1342,Wils Evert-Jan43ORCID,Horby Peter1,Merson Laura144ORCID,Olliaro Piero L1,

Affiliation:

1. ISARIC, Pandemic Sciences Institute, University of Oxford

2. Big Data Institute, Nuffield Department of Medicine, University of Oxford

3. National Institute for Communicable Diseases, South Africa; Right to Care

4. Faculty of Medicine, University of British Columbia

5. MRC Population Health Research Unit, Clinical Trials Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford

6. Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool

7. Respiratory Medicine, Alder Hey Children's Hospital, University of Liverpool

8. Royal Melbourne Hospital

9. Centre for Integrated Critical Care, University of Melbourne

10. Universidad de La Sabana

11. Clinica Universidad de La Sabana

12. Department of Computer Science, University of Oxford

13. Department of Biology, University of Oxford

14. Emergency Department. Hospital Universitario La Paz – IdiPAZ

15. Department of Infectious Diseases and Clinical Microbiology, School of Medicine, Marmara University

16. Roslin Institute, University of Edinburgh

17. Intensive Care Unit, Royal Infirmary of Edinburgh

18. Critical Care and Anesthesia, Nepal Mediciti Hospital

19. King Abdullah International Medical Research Center and King Saud Bin Abdulaziz University for Health Sciences

20. Network for Improving Critical care Systems and Training

21. Department of Infectious, Tropical Diseases and Microbiology (DITM), IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella

22. Makati Medical Center, Makati City

23. Department of Anesthesiology, Centre hospitalier de l'Université de Montréal

24. Department of Medicine, Critical Care Division, Centre hospitalier de l'Université de Montréal

25. Carrefour de l'innovation et santé des populations, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM)

26. Department of Anesthesiology and Pain Medicine, Université de Montréal

27. Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics

28. Department of Infectious Diseases, Hospital del Mar, Infectious Pathology and Antimicrobial Research Group (IPAR), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona (UAB), CEXS-Universitat Pompeu Fabra

29. Instituto de Infectologia Emílio Ribas

30. Lions Gate Hospital

31. International Islamic University Malaysia

32. Clinical Research Centre, Sunway Medical Centre, Selangor Darul Ehsan

33. Digital Health Research and Innovation Unit, Institute for Clinical Research, National Institutes of Health (NIH)

34. World Health Organization

35. Carol Davila University of Medicine and Pharmacy

36. National Institute for Infectious Diseases "Prof. Dr. Matei Bals"

37. Fundación Cardiovascular de Colombia

38. Department of Critical Care Medicine, Sunnybrook Health Sciences Centre

39. Department of Critical Care Medicine, Manipal Hospital Whitefield

40. Department of Medical Microbiology and Infection Control, Franciscus Gasthuis & Vlietland

41. Critical Care Asia and Ziauddin University

42. Pandemic Sciences Institute, University of Oxford

43. Department of Intensive Care, Franciscus Gasthuis & Vlietland

44. Infectious Diseases Data Observatory, Centre for Tropical Medicine and Global Health, University of Oxford

Abstract

Background:Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 variants is necessary for evidence-based policy response, individual-level data on infecting variants are typically only available for a minority of patients and settings.Methods:Here, we propose an innovative approach to study changes in COVID-19 hospital presentation and outcomes after the Omicron variant emergence using publicly available population-level data on variant relative frequency to infer SARS-CoV-2 variants likely responsible for clinical cases. We apply this method to data collected by a large international clinical consortium before and after the emergence of the Omicron variant in different countries.Results:Our analysis, that includes more than 100,000 patients from 28 countries, suggests that in many settings patients hospitalised with Omicron variant infection less often presented with commonly reported symptoms compared to patients infected with pre-Omicron variants. Patients with COVID-19 admitted to hospital after Omicron variant emergence had lower mortality compared to patients admitted during the period when Omicron variant was responsible for only a minority of infections (odds ratio in a mixed-effects logistic regression adjusted for likely confounders, 0.67 [95% confidence interval 0.61–0.75]). Qualitatively similar findings were observed in sensitivity analyses with different assumptions on population-level Omicron variant relative frequencies, and in analyses using available individual-level data on infecting variant for a subset of the study population.Conclusions:Although clinical studies with matching viral genomic information should remain a priority, our approach combining publicly available data on variant frequency and a multi-country clinical characterisation dataset with more than 100,000 records allowed analysis of data from a wide range of settings and novel insights on real-world heterogeneity of COVID-19 presentation and clinical outcome.Funding:Bronner P. Gonçalves, Peter Horby, Gail Carson, Piero L. Olliaro, Valeria Balan, Barbara Wanjiru Citarella, and research costs were supported by the UK Foreign, Commonwealth and Development Office (FCDO) and Wellcome [215091/Z/18/Z, 222410/Z/21/Z, 225288/Z/22/Z]; and Janice Caoili and Madiha Hashmi were supported by the UK FCDO and Wellcome [222048/Z/20/Z]. Peter Horby, Gail Carson, Piero L. Olliaro, Kalynn Kennon and Joaquin Baruch were supported by the Bill & Melinda Gates Foundation [OPP1209135]; Laura Merson was supported by University of Oxford’s COVID-19 Research Response Fund - with thanks to its donors for their philanthropic support. Matthew Hall was supported by a Li Ka Shing Foundation award to Christophe Fraser. Moritz U.G. Kraemer was supported by the Branco Weiss Fellowship, Google.org, the Oxford Martin School, the Rockefeller Foundation, and the European Union Horizon 2020 project MOOD (#874850). The contents of this publication are the sole responsibility of the authors and do not necessarily reflect the views of the European Commission. Contributions from Srinivas Murthy, Asgar Rishu, Rob Fowler, James Joshua Douglas, François Martin Carrier were supported by CIHR Coronavirus Rapid Research Funding Opportunity OV2170359 and coordinated out of Sunnybrook Research Institute. Contributions from Evert-Jan Wils and David S.Y. Ong were supported by a grant from foundation Bevordering Onderzoek Franciscus; and Andrea Angheben by the Italian Ministry of Health “Fondi Ricerca corrente–L1P6” to IRCCS Ospedale Sacro Cuore–Don Calabria. The data contributions of J.Kenneth Baillie, Malcolm G. Semple, and Ewen M. Harrison were 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 Public Health England (PHE) (award 200907), NIHR HPRU in Respiratory Infections at Imperial College London with PHE (award 200927), Liverpool Experimental Cancer Medicine Centre (grant C18616/A25153), NIHR Biomedical Research Centre at Imperial College London (award IS-BRC-1215-20013), and NIHR Clinical Research Network providing infrastructure support. All funders of the ISARIC Clinical Characterisation Group are listed in the appendix.

Funder

UK Foreign, Commonwealth and Development Office

Wellcome Trust

Bill and Melinda Gates Foundation

University of Oxford's COVID-19 Research Fund

Branco Weiss Fellowship

Google.org

Oxford Martin School, University of Oxford

Rockefeller Foundation

European Union Horizon 2020

CIHR Coronavirus Rapid Research Funding Opportunity

Bevordering Onderzoek Franciscus

Italian Ministry of Health "Fondi Ricerca corrente-L1P6"

National Institute for Health Research

Medical Research Council

NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections

NIHR HRPU in Respiratory Infections

Liverpool Experimental Cancer Medicine Centre

NIHR Biomedical Research Centre

NIHR Clinical Research Network

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference33 articles.

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2. Covid-19 vaccine effectiveness against the omicron (B.1.1.529) variant;Andrews;The New England Journal of Medicine,2022

3. Duration of protection against mild and severe disease by covid-19 vaccines;Andrews;The New England Journal of Medicine,2022

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