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 vari- ants 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 inn...

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Main Authors: 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 M, Rashan, Aasiyah, Angheben, Andrea, Caoili, Janice, Carrier, François Martin, Harrison, Ewen M, Gómez-Junyent, Joan, Figueiredo-Mello, Claudia, Joshua Douglas, James, 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
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2022
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Online Access:http://irep.iium.edu.my/100591/7/100591_An%20international%20observational%20study.pdf
http://irep.iium.edu.my/100591/
https://doi.org/10.7554/eLife.80556
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id my.iium.irep.100591
record_format dspace
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
spellingShingle RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
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 M
Rashan, Aasiyah
Angheben, Andrea
Caoili, Janice
Carrier, François Martin
Harrison, Ewen M
Gómez-Junyent, Joan
Figueiredo-Mello, Claudia
Joshua Douglas, James
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
description Background: Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 vari- ants 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 presen- tation 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.
format Article
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 M
Rashan, Aasiyah
Angheben, Andrea
Caoili, Janice
Carrier, François Martin
Harrison, Ewen M
Gómez-Junyent, Joan
Figueiredo-Mello, Claudia
Joshua Douglas, James
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 M
Rashan, Aasiyah
Angheben, Andrea
Caoili, Janice
Carrier, François Martin
Harrison, Ewen M
Gómez-Junyent, Joan
Figueiredo-Mello, Claudia
Joshua Douglas, James
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
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_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_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_sort international observational study to assess the impact of the omicron variant emergence on the clinical epidemiology of covid-19 in hospitalised patients
publisher eLife Sciences Publications Ltd
publishDate 2022
url http://irep.iium.edu.my/100591/7/100591_An%20international%20observational%20study.pdf
http://irep.iium.edu.my/100591/
https://doi.org/10.7554/eLife.80556
_version_ 1748180267540938752
spelling my.iium.irep.1005912022-10-14T00:23:27Z http://irep.iium.edu.my/100591/ 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 M Rashan, Aasiyah Angheben, Andrea Caoili, Janice Carrier, François Martin Harrison, Ewen M Gómez-Junyent, Joan Figueiredo-Mello, Claudia Joshua Douglas, James 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 RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid Background: Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 vari- ants 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 presen- tation 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. eLife Sciences Publications Ltd 2022-10-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/100591/7/100591_An%20international%20observational%20study.pdf Gonçalves, Bronner P and Hall, Matthew and Jassat, Waasila and Balan, Valeria and Murthy, Srinivas and Kartsonaki, Christiana and Semple, Malcolm G and Rojek, Amanda and Baruch, Joaquín and Reyes, Luis Felipe and Dasgupta, Abhishek and Dunning, Jake and Citarella, Barbara Wanjiru and Pritchard, Mark and Martín-Quiros, Alejandro and Sili, Uluhan and Baillie, J Kenneth and Aryal, Diptesh and Arabi, Yaseen M and Rashan, Aasiyah and Angheben, Andrea and Caoili, Janice and Carrier, François Martin and Harrison, Ewen M and Gómez-Junyent, Joan and Figueiredo-Mello, Claudia and Joshua Douglas, James and Mat Nor, Mohd Basri and Chow, Yock Ping and Wong, Xin Ci and Bertagnolio, Silvia and Thwin, Soe Soe and Streinu-Cercel, Anca and Salazar, Leonardo and Rishu, Asgar and Rangappa, Rajavardhan and Ong, David SY and Hashmi, Madiha and Carson, Gail and Diaz, Janet and Fowler, Rob and Kraemer, Moritz UG and Wils, Evert-Jan and Horby, Peter and Merson, Laura and Olliaro, Piero L (2022) An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients. elife. pp. 1-42. E-ISSN 2050-084X https://doi.org/10.7554/eLife.80556 10.7554/eLife.80556
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