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

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 innova...

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Autores principales: Gonçalves, Bronner P, Hall, Matthew, Jassat, Waasila, Balan, Valeria, Murthy, Srinivas, Kartsonaki, Christiana, Semple, Malcolm G, Rojek, Amanda, Baruch, Joaquín, Reyes, Luis Felipe, Dasgupta, Abhishek, Dunning, Jake, Citarella, Barbara Wanjiru, Pritchard, Mark, Martín-Quiros, Alejandro, Sili, Uluhan, Baillie, J Kenneth, Aryal, Diptesh, Arabi, Yaseen, Rashan, Aasiyah, Angheben, Andrea, Caoili, Janice, Carrier, François Martin, Harrison, Ewen M, Gómez-Junyent, Joan, Figueiredo-Mello, Claudia, Douglas, James Joshua, Mat Nor, Mohd Basri, Chow, Yock Ping, Wong, Xin Ci, Bertagnolio, Silvia, Thwin, Soe Soe, Streinu-Cercel, Anca, Salazar, Leonardo, Rishu, Asgar, Rangappa, Rajavardhan, Ong, David SY, Hashmi, Madiha, Carson, Gail, Diaz, Janet, Fowler, Rob, Kraemer, Moritz UG, Wils, Evert-Jan, Horby, Peter, Merson, Laura, Olliaro, Piero L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534549/
https://www.ncbi.nlm.nih.gov/pubmed/36197074
http://dx.doi.org/10.7554/eLife.80556
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author Gonçalves, Bronner P
Hall, Matthew
Jassat, Waasila
Balan, Valeria
Murthy, Srinivas
Kartsonaki, Christiana
Semple, Malcolm G
Rojek, Amanda
Baruch, Joaquín
Reyes, Luis Felipe
Dasgupta, Abhishek
Dunning, Jake
Citarella, Barbara Wanjiru
Pritchard, Mark
Martín-Quiros, Alejandro
Sili, Uluhan
Baillie, J Kenneth
Aryal, Diptesh
Arabi, Yaseen
Rashan, Aasiyah
Angheben, Andrea
Caoili, Janice
Carrier, François Martin
Harrison, Ewen M
Gómez-Junyent, Joan
Figueiredo-Mello, Claudia
Douglas, James Joshua
Mat Nor, Mohd Basri
Chow, Yock Ping
Wong, Xin Ci
Bertagnolio, Silvia
Thwin, Soe Soe
Streinu-Cercel, Anca
Salazar, Leonardo
Rishu, Asgar
Rangappa, Rajavardhan
Ong, David SY
Hashmi, Madiha
Carson, Gail
Diaz, Janet
Fowler, Rob
Kraemer, Moritz UG
Wils, Evert-Jan
Horby, Peter
Merson, Laura
Olliaro, Piero L
author_facet Gonçalves, Bronner P
Hall, Matthew
Jassat, Waasila
Balan, Valeria
Murthy, Srinivas
Kartsonaki, Christiana
Semple, Malcolm G
Rojek, Amanda
Baruch, Joaquín
Reyes, Luis Felipe
Dasgupta, Abhishek
Dunning, Jake
Citarella, Barbara Wanjiru
Pritchard, Mark
Martín-Quiros, Alejandro
Sili, Uluhan
Baillie, J Kenneth
Aryal, Diptesh
Arabi, Yaseen
Rashan, Aasiyah
Angheben, Andrea
Caoili, Janice
Carrier, François Martin
Harrison, Ewen M
Gómez-Junyent, Joan
Figueiredo-Mello, Claudia
Douglas, James Joshua
Mat Nor, Mohd Basri
Chow, Yock Ping
Wong, Xin Ci
Bertagnolio, Silvia
Thwin, Soe Soe
Streinu-Cercel, Anca
Salazar, Leonardo
Rishu, Asgar
Rangappa, Rajavardhan
Ong, David SY
Hashmi, Madiha
Carson, Gail
Diaz, Janet
Fowler, Rob
Kraemer, Moritz UG
Wils, Evert-Jan
Horby, Peter
Merson, Laura
Olliaro, Piero L
author_sort Gonçalves, Bronner P
collection PubMed
description 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.
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spelling pubmed-95345492022-10-06 An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients Gonçalves, Bronner P Hall, Matthew Jassat, Waasila Balan, Valeria Murthy, Srinivas Kartsonaki, Christiana Semple, Malcolm G Rojek, Amanda Baruch, Joaquín Reyes, Luis Felipe Dasgupta, Abhishek Dunning, Jake Citarella, Barbara Wanjiru Pritchard, Mark Martín-Quiros, Alejandro Sili, Uluhan Baillie, J Kenneth Aryal, Diptesh Arabi, Yaseen Rashan, Aasiyah Angheben, Andrea Caoili, Janice Carrier, François Martin Harrison, Ewen M Gómez-Junyent, Joan Figueiredo-Mello, Claudia Douglas, James Joshua Mat Nor, Mohd Basri Chow, Yock Ping Wong, Xin Ci Bertagnolio, Silvia Thwin, Soe Soe Streinu-Cercel, Anca Salazar, Leonardo Rishu, Asgar Rangappa, Rajavardhan Ong, David SY Hashmi, Madiha Carson, Gail Diaz, Janet Fowler, Rob Kraemer, Moritz UG Wils, Evert-Jan Horby, Peter Merson, Laura Olliaro, Piero L eLife Epidemiology and Global Health 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. eLife Sciences Publications, Ltd 2022-10-05 /pmc/articles/PMC9534549/ /pubmed/36197074 http://dx.doi.org/10.7554/eLife.80556 Text en © 2022, Gonçalves et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Epidemiology and Global Health
Gonçalves, Bronner P
Hall, Matthew
Jassat, Waasila
Balan, Valeria
Murthy, Srinivas
Kartsonaki, Christiana
Semple, Malcolm G
Rojek, Amanda
Baruch, Joaquín
Reyes, Luis Felipe
Dasgupta, Abhishek
Dunning, Jake
Citarella, Barbara Wanjiru
Pritchard, Mark
Martín-Quiros, Alejandro
Sili, Uluhan
Baillie, J Kenneth
Aryal, Diptesh
Arabi, Yaseen
Rashan, Aasiyah
Angheben, Andrea
Caoili, Janice
Carrier, François Martin
Harrison, Ewen M
Gómez-Junyent, Joan
Figueiredo-Mello, Claudia
Douglas, James Joshua
Mat Nor, Mohd Basri
Chow, Yock Ping
Wong, Xin Ci
Bertagnolio, Silvia
Thwin, Soe Soe
Streinu-Cercel, Anca
Salazar, Leonardo
Rishu, Asgar
Rangappa, Rajavardhan
Ong, David SY
Hashmi, Madiha
Carson, Gail
Diaz, Janet
Fowler, Rob
Kraemer, Moritz UG
Wils, Evert-Jan
Horby, Peter
Merson, Laura
Olliaro, Piero L
An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients
title An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients
title_full An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients
title_fullStr An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients
title_full_unstemmed An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients
title_short An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients
title_sort international observational study to assess the impact of the omicron variant emergence on the clinical epidemiology of covid-19 in hospitalised patients
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534549/
https://www.ncbi.nlm.nih.gov/pubmed/36197074
http://dx.doi.org/10.7554/eLife.80556
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