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A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study
BACKGROUND: Compared to the abundance of clinical and genomic information available on patients hospitalised with COVID-19 disease from high-income countries, there is a paucity of data from low-income countries. Our aim was to explore the relationship between viral lineage and patient outcome. METH...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298135/ https://www.ncbi.nlm.nih.gov/pubmed/35860218 http://dx.doi.org/10.1101/2022.02.17.22269742 |
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author | Anscombe, Catherine Lissauer, Samantha Thole, Herbert Rylance, Jamie Dula, Dingase Menyere, Mavis Kutambe, Belson van der Veer, Charlotte Phiri, Tamara Banda, Ndaziona P. Mndolo, Kwazizira S. Mponda, Kelvin Phiri, Chimota Mallewa, Jane Nyirenda, Mulinda Katha, Grace Mwandumba, Henry Gordon, Stephen B. Jambo, Kondwani C. Cornick, Jennifer Feasey, Nicholas Barnes, Kayla G. Morton, Ben Ashton, Philip M. |
author_facet | Anscombe, Catherine Lissauer, Samantha Thole, Herbert Rylance, Jamie Dula, Dingase Menyere, Mavis Kutambe, Belson van der Veer, Charlotte Phiri, Tamara Banda, Ndaziona P. Mndolo, Kwazizira S. Mponda, Kelvin Phiri, Chimota Mallewa, Jane Nyirenda, Mulinda Katha, Grace Mwandumba, Henry Gordon, Stephen B. Jambo, Kondwani C. Cornick, Jennifer Feasey, Nicholas Barnes, Kayla G. Morton, Ben Ashton, Philip M. |
author_sort | Anscombe, Catherine |
collection | PubMed |
description | BACKGROUND: Compared to the abundance of clinical and genomic information available on patients hospitalised with COVID-19 disease from high-income countries, there is a paucity of data from low-income countries. Our aim was to explore the relationship between viral lineage and patient outcome. METHODS: We enrolled a prospective observational cohort of adult patients hospitalised with PCR-confirmed COVID-19 disease between July 2020 and March 2022 from Blantyre, Malawi, covering four waves of SARS-CoV-2 infections. Clinical and diagnostic data were collected using an adapted ISARIC clinical characterization protocol for COVID-19. SARS-CoV-2 isolates were sequenced using the MinION(™) in Blantyre. RESULTS: We enrolled 314 patients, good quality sequencing data was available for 55 patients. The sequencing data showed that 8 of 11 participants recruited in wave one had B.1 infections, 6/6 in wave two had Beta, 25/26 in wave three had Delta and 11/12 in wave four had Omicron. Patients infected during the Delta and Omicron waves reported fewer underlying chronic conditions and a shorter time to presentation. Significantly fewer patients required oxygen (22.7% [17/75] vs. 58.6% [140/239], p<0.001) and steroids (38.7% [29/75] vs. 70.3% [167/239], p<0.001) in the Omicron wave compared with the other waves. Multivariable logistic-regression demonstrated a trend toward increased mortality in the Delta wave (OR 4.99 [95% CI 1.0–25.0 p=0.05) compared to the first wave of infection. CONCLUSIONS: Our data show that each wave of patients hospitalised with SARS-CoV-2 was infected with a distinct viral variant. The clinical data suggests that patients with severe COVID-19 disease were more likely to die during the Delta wave. |
format | Online Article Text |
id | pubmed-9298135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-92981352022-07-21 A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study Anscombe, Catherine Lissauer, Samantha Thole, Herbert Rylance, Jamie Dula, Dingase Menyere, Mavis Kutambe, Belson van der Veer, Charlotte Phiri, Tamara Banda, Ndaziona P. Mndolo, Kwazizira S. Mponda, Kelvin Phiri, Chimota Mallewa, Jane Nyirenda, Mulinda Katha, Grace Mwandumba, Henry Gordon, Stephen B. Jambo, Kondwani C. Cornick, Jennifer Feasey, Nicholas Barnes, Kayla G. Morton, Ben Ashton, Philip M. medRxiv Article BACKGROUND: Compared to the abundance of clinical and genomic information available on patients hospitalised with COVID-19 disease from high-income countries, there is a paucity of data from low-income countries. Our aim was to explore the relationship between viral lineage and patient outcome. METHODS: We enrolled a prospective observational cohort of adult patients hospitalised with PCR-confirmed COVID-19 disease between July 2020 and March 2022 from Blantyre, Malawi, covering four waves of SARS-CoV-2 infections. Clinical and diagnostic data were collected using an adapted ISARIC clinical characterization protocol for COVID-19. SARS-CoV-2 isolates were sequenced using the MinION(™) in Blantyre. RESULTS: We enrolled 314 patients, good quality sequencing data was available for 55 patients. The sequencing data showed that 8 of 11 participants recruited in wave one had B.1 infections, 6/6 in wave two had Beta, 25/26 in wave three had Delta and 11/12 in wave four had Omicron. Patients infected during the Delta and Omicron waves reported fewer underlying chronic conditions and a shorter time to presentation. Significantly fewer patients required oxygen (22.7% [17/75] vs. 58.6% [140/239], p<0.001) and steroids (38.7% [29/75] vs. 70.3% [167/239], p<0.001) in the Omicron wave compared with the other waves. Multivariable logistic-regression demonstrated a trend toward increased mortality in the Delta wave (OR 4.99 [95% CI 1.0–25.0 p=0.05) compared to the first wave of infection. CONCLUSIONS: Our data show that each wave of patients hospitalised with SARS-CoV-2 was infected with a distinct viral variant. The clinical data suggests that patients with severe COVID-19 disease were more likely to die during the Delta wave. Cold Spring Harbor Laboratory 2022-07-11 /pmc/articles/PMC9298135/ /pubmed/35860218 http://dx.doi.org/10.1101/2022.02.17.22269742 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Anscombe, Catherine Lissauer, Samantha Thole, Herbert Rylance, Jamie Dula, Dingase Menyere, Mavis Kutambe, Belson van der Veer, Charlotte Phiri, Tamara Banda, Ndaziona P. Mndolo, Kwazizira S. Mponda, Kelvin Phiri, Chimota Mallewa, Jane Nyirenda, Mulinda Katha, Grace Mwandumba, Henry Gordon, Stephen B. Jambo, Kondwani C. Cornick, Jennifer Feasey, Nicholas Barnes, Kayla G. Morton, Ben Ashton, Philip M. A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study |
title | A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study |
title_full | A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study |
title_fullStr | A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study |
title_full_unstemmed | A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study |
title_short | A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study |
title_sort | comparison of four epidemic waves of covid-19 in malawi; an observational cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298135/ https://www.ncbi.nlm.nih.gov/pubmed/35860218 http://dx.doi.org/10.1101/2022.02.17.22269742 |
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