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Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study
BACKGROUND: The SARS-CoV-2 omicron variant of concern was identified in South Africa in November, 2021, and was associated with an increase in COVID-19 cases. We aimed to assess the clinical severity of infections with the omicron variant using S gene target failure (SGTF) on the Thermo Fisher Scien...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769664/ https://www.ncbi.nlm.nih.gov/pubmed/35065011 http://dx.doi.org/10.1016/S0140-6736(22)00017-4 |
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author | Wolter, Nicole Jassat, Waasila Walaza, Sibongile Welch, Richard Moultrie, Harry Groome, Michelle Amoako, Daniel Gyamfi Everatt, Josie Bhiman, Jinal N Scheepers, Cathrine Tebeila, Naume Chiwandire, Nicola du Plessis, Mignon Govender, Nevashan Ismail, Arshad Glass, Allison Mlisana, Koleka Stevens, Wendy Treurnicht, Florette K Makatini, Zinhle Hsiao, Nei-yuan Parboosing, Raveen Wadula, Jeannette Hussey, Hannah Davies, Mary-Ann Boulle, Andrew von Gottberg, Anne Cohen, Cheryl |
author_facet | Wolter, Nicole Jassat, Waasila Walaza, Sibongile Welch, Richard Moultrie, Harry Groome, Michelle Amoako, Daniel Gyamfi Everatt, Josie Bhiman, Jinal N Scheepers, Cathrine Tebeila, Naume Chiwandire, Nicola du Plessis, Mignon Govender, Nevashan Ismail, Arshad Glass, Allison Mlisana, Koleka Stevens, Wendy Treurnicht, Florette K Makatini, Zinhle Hsiao, Nei-yuan Parboosing, Raveen Wadula, Jeannette Hussey, Hannah Davies, Mary-Ann Boulle, Andrew von Gottberg, Anne Cohen, Cheryl |
author_sort | Wolter, Nicole |
collection | PubMed |
description | BACKGROUND: The SARS-CoV-2 omicron variant of concern was identified in South Africa in November, 2021, and was associated with an increase in COVID-19 cases. We aimed to assess the clinical severity of infections with the omicron variant using S gene target failure (SGTF) on the Thermo Fisher Scientific TaqPath COVID-19 PCR test as a proxy. METHODS: We did data linkages for national, South African COVID-19 case data, SARS-CoV-2 laboratory test data, SARS-CoV-2 genome data, and COVID-19 hospital admissions data. For individuals diagnosed with COVID-19 via TaqPath PCR tests, infections were designated as either SGTF or non-SGTF. The delta variant was identified by genome sequencing. Using multivariable logistic regression models, we assessed disease severity and hospitalisations by comparing individuals with SGTF versus non-SGTF infections diagnosed between Oct 1 and Nov 30, 2021, and we further assessed disease severity by comparing SGTF-infected individuals diagnosed between Oct 1 and Nov 30, 2021, with delta variant-infected individuals diagnosed between April 1 and Nov 9, 2021. FINDINGS: From Oct 1 (week 39), 2021, to Dec 6 (week 49), 2021, 161 328 cases of COVID-19 were reported in South Africa. 38 282 people were diagnosed via TaqPath PCR tests and 29 721 SGTF infections and 1412 non-SGTF infections were identified. The proportion of SGTF infections increased from two (3·2%) of 63 in week 39 to 21 978 (97·9%) of 22 455 in week 48. After controlling for factors associated with hospitalisation, individuals with SGTF infections had significantly lower odds of admission than did those with non-SGTF infections (256 [2·4%] of 10 547 vs 121 [12·8%] of 948; adjusted odds ratio [aOR] 0·2, 95% CI 0·1–0·3). After controlling for factors associated with disease severity, the odds of severe disease were similar between hospitalised individuals with SGTF versus non-SGTF infections (42 [21%] of 204 vs 45 [40%] of 113; aOR 0·7, 95% CI 0·3–1·4). Compared with individuals with earlier delta variant infections, SGTF-infected individuals had a significantly lower odds of severe disease (496 [62·5%] of 793 vs 57 [23·4%] of 244; aOR 0·3, 95% CI 0·2–0·5), after controlling for factors associated with disease severity. INTERPRETATION: Our early analyses suggest a significantly reduced odds of hospitalisation among individuals with SGTF versus non-SGTF infections diagnosed during the same time period. SGTF-infected individuals had a significantly reduced odds of severe disease compared with individuals infected earlier with the delta variant. Some of this reduced severity is probably a result of previous immunity. FUNDING: The South African Medical Research Council, the South African National Department of Health, US Centers for Disease Control and Prevention, the African Society of Laboratory Medicine, Africa Centers for Disease Control and Prevention, the Bill & Melinda Gates Foundation, the Wellcome Trust, and the Fleming Fund. |
format | Online Article Text |
id | pubmed-8769664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87696642022-01-20 Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study Wolter, Nicole Jassat, Waasila Walaza, Sibongile Welch, Richard Moultrie, Harry Groome, Michelle Amoako, Daniel Gyamfi Everatt, Josie Bhiman, Jinal N Scheepers, Cathrine Tebeila, Naume Chiwandire, Nicola du Plessis, Mignon Govender, Nevashan Ismail, Arshad Glass, Allison Mlisana, Koleka Stevens, Wendy Treurnicht, Florette K Makatini, Zinhle Hsiao, Nei-yuan Parboosing, Raveen Wadula, Jeannette Hussey, Hannah Davies, Mary-Ann Boulle, Andrew von Gottberg, Anne Cohen, Cheryl Lancet Articles BACKGROUND: The SARS-CoV-2 omicron variant of concern was identified in South Africa in November, 2021, and was associated with an increase in COVID-19 cases. We aimed to assess the clinical severity of infections with the omicron variant using S gene target failure (SGTF) on the Thermo Fisher Scientific TaqPath COVID-19 PCR test as a proxy. METHODS: We did data linkages for national, South African COVID-19 case data, SARS-CoV-2 laboratory test data, SARS-CoV-2 genome data, and COVID-19 hospital admissions data. For individuals diagnosed with COVID-19 via TaqPath PCR tests, infections were designated as either SGTF or non-SGTF. The delta variant was identified by genome sequencing. Using multivariable logistic regression models, we assessed disease severity and hospitalisations by comparing individuals with SGTF versus non-SGTF infections diagnosed between Oct 1 and Nov 30, 2021, and we further assessed disease severity by comparing SGTF-infected individuals diagnosed between Oct 1 and Nov 30, 2021, with delta variant-infected individuals diagnosed between April 1 and Nov 9, 2021. FINDINGS: From Oct 1 (week 39), 2021, to Dec 6 (week 49), 2021, 161 328 cases of COVID-19 were reported in South Africa. 38 282 people were diagnosed via TaqPath PCR tests and 29 721 SGTF infections and 1412 non-SGTF infections were identified. The proportion of SGTF infections increased from two (3·2%) of 63 in week 39 to 21 978 (97·9%) of 22 455 in week 48. After controlling for factors associated with hospitalisation, individuals with SGTF infections had significantly lower odds of admission than did those with non-SGTF infections (256 [2·4%] of 10 547 vs 121 [12·8%] of 948; adjusted odds ratio [aOR] 0·2, 95% CI 0·1–0·3). After controlling for factors associated with disease severity, the odds of severe disease were similar between hospitalised individuals with SGTF versus non-SGTF infections (42 [21%] of 204 vs 45 [40%] of 113; aOR 0·7, 95% CI 0·3–1·4). Compared with individuals with earlier delta variant infections, SGTF-infected individuals had a significantly lower odds of severe disease (496 [62·5%] of 793 vs 57 [23·4%] of 244; aOR 0·3, 95% CI 0·2–0·5), after controlling for factors associated with disease severity. INTERPRETATION: Our early analyses suggest a significantly reduced odds of hospitalisation among individuals with SGTF versus non-SGTF infections diagnosed during the same time period. SGTF-infected individuals had a significantly reduced odds of severe disease compared with individuals infected earlier with the delta variant. Some of this reduced severity is probably a result of previous immunity. FUNDING: The South African Medical Research Council, the South African National Department of Health, US Centers for Disease Control and Prevention, the African Society of Laboratory Medicine, Africa Centers for Disease Control and Prevention, the Bill & Melinda Gates Foundation, the Wellcome Trust, and the Fleming Fund. Elsevier 2022-01-29 /pmc/articles/PMC8769664/ /pubmed/35065011 http://dx.doi.org/10.1016/S0140-6736(22)00017-4 Text en © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Articles Wolter, Nicole Jassat, Waasila Walaza, Sibongile Welch, Richard Moultrie, Harry Groome, Michelle Amoako, Daniel Gyamfi Everatt, Josie Bhiman, Jinal N Scheepers, Cathrine Tebeila, Naume Chiwandire, Nicola du Plessis, Mignon Govender, Nevashan Ismail, Arshad Glass, Allison Mlisana, Koleka Stevens, Wendy Treurnicht, Florette K Makatini, Zinhle Hsiao, Nei-yuan Parboosing, Raveen Wadula, Jeannette Hussey, Hannah Davies, Mary-Ann Boulle, Andrew von Gottberg, Anne Cohen, Cheryl Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study |
title | Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study |
title_full | Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study |
title_fullStr | Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study |
title_full_unstemmed | Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study |
title_short | Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study |
title_sort | early assessment of the clinical severity of the sars-cov-2 omicron variant in south africa: a data linkage study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769664/ https://www.ncbi.nlm.nih.gov/pubmed/35065011 http://dx.doi.org/10.1016/S0140-6736(22)00017-4 |
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