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. Metho...

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Veröffentlicht in:BMC Infectious Diseases 2023, Vol.23 (1)
Hauptverfasser: 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, Kalua, Wezzie, Mandala, Peter, Katutula, Barbara, Ng'oma, Rosaleen, Lanken, Steven, Phulusa, Jacob, Mkandawire, Mercy, Kaimba, Sylvester, Nthala, Sharon, Nsomba, Edna, Keyala, Lucy, Chinoko, Beatrice, Gmeiner, Markus, Kaudzu, Vella, Freyne, Bridget, Swarthout, Todd D, Tam, Pui-Ying Iroh, Sichone, Simon, Ahmadu, Ajisa, Stima, Grace, Masina, Mazuba, Kanjewa, Oscar, Nyasulu, Vita, Chinyama, End, Zuza, Allan, Denis, Brigitte, Storey, Evance, Bondera, Nedson, Matchado, Danford, Chande, Adams, Chingota, Arthur, Ntwea, Chimenya, Mkandawire, Langford, Mhango, Chimwemwe, Lakudzala, Agness, Chaponda, Mphatso, Mwenechanya, Percy, Mvaya, Leonard, Tembo, Dumizulu, Henrion, Marc Y. R, Chirombo, James, Kambiya, Paul, Masesa, Clemens, Gondwe, Joel
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container_title BMC Infectious Diseases
container_volume 23
creator 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
Kalua, Wezzie
Mandala, Peter
Katutula, Barbara
Ng'oma, Rosaleen
Lanken, Steven
Phulusa, Jacob
Mkandawire, Mercy
Kaimba, Sylvester
Nthala, Sharon
Nsomba, Edna
Keyala, Lucy
Chinoko, Beatrice
Gmeiner, Markus
Kaudzu, Vella
Freyne, Bridget
Swarthout, Todd D
Tam, Pui-Ying Iroh
Sichone, Simon
Ahmadu, Ajisa
Stima, Grace
Masina, Mazuba
Kanjewa, Oscar
Nyasulu, Vita
Chinyama, End
Zuza, Allan
Denis, Brigitte
Storey, Evance
Bondera, Nedson
Matchado, Danford
Chande, Adams
Chingota, Arthur
Ntwea, Chimenya
Mkandawire, Langford
Mhango, Chimwemwe
Lakudzala, Agness
Chaponda, Mphatso
Mwenechanya, Percy
Mvaya, Leonard
Tembo, Dumizulu
Henrion, Marc Y. R
Chirombo, James
Kambiya, Paul
Masesa, Clemens
Gondwe, Joel
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[TM] 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. Keywords: COVID, SARS-CoV-2, ISARIC, Delta, Mortality, LMIC, Malawi, Africa
doi_str_mv 10.1186/s12879-022-07941-y
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R ; Chirombo, James ; Kambiya, Paul ; Masesa, Clemens ; Gondwe, Joel</creator><creatorcontrib>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 ; Kalua, Wezzie ; Mandala, Peter ; Katutula, Barbara ; Ng'oma, Rosaleen ; Lanken, Steven ; Phulusa, Jacob ; Mkandawire, Mercy ; Kaimba, Sylvester ; Nthala, Sharon ; Nsomba, Edna ; Keyala, Lucy ; Chinoko, Beatrice ; Gmeiner, Markus ; Kaudzu, Vella ; Freyne, Bridget ; Swarthout, Todd D ; Tam, Pui-Ying Iroh ; Sichone, Simon ; Ahmadu, Ajisa ; Stima, Grace ; Masina, Mazuba ; Kanjewa, Oscar ; Nyasulu, Vita ; Chinyama, End ; Zuza, Allan ; Denis, Brigitte ; Storey, Evance ; Bondera, Nedson ; Matchado, Danford ; Chande, Adams ; Chingota, Arthur ; Ntwea, Chimenya ; Mkandawire, Langford ; Mhango, Chimwemwe ; Lakudzala, Agness ; Chaponda, Mphatso ; Mwenechanya, Percy ; Mvaya, Leonard ; Tembo, Dumizulu ; Henrion, Marc Y. R ; Chirombo, James ; Kambiya, Paul ; Masesa, Clemens ; Gondwe, Joel</creatorcontrib><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[TM] 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 &lt; 0.001) and steroids (38.7% [29/75] vs. 70.3% [167/239], p &lt; 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. Keywords: COVID, SARS-CoV-2, ISARIC, Delta, Mortality, LMIC, Malawi, Africa</description><identifier>ISSN: 1471-2334</identifier><identifier>EISSN: 1471-2334</identifier><identifier>DOI: 10.1186/s12879-022-07941-y</identifier><language>eng</language><publisher>BioMed Central Ltd</publisher><ispartof>BMC Infectious Diseases, 2023, Vol.23 (1)</ispartof><rights>COPYRIGHT 2023 BioMed Central Ltd.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780,860,4476,27902</link.rule.ids></links><search><creatorcontrib>Anscombe, Catherine</creatorcontrib><creatorcontrib>Lissauer, Samantha</creatorcontrib><creatorcontrib>Thole, Herbert</creatorcontrib><creatorcontrib>Rylance, Jamie</creatorcontrib><creatorcontrib>Dula, Dingase</creatorcontrib><creatorcontrib>Menyere, Mavis</creatorcontrib><creatorcontrib>Kutambe, Belson</creatorcontrib><creatorcontrib>van der Veer, Charlotte</creatorcontrib><creatorcontrib>Phiri, Tamara</creatorcontrib><creatorcontrib>Banda, Ndaziona P</creatorcontrib><creatorcontrib>Mndolo, Kwazizira S</creatorcontrib><creatorcontrib>Mponda, Kelvin</creatorcontrib><creatorcontrib>Phiri, Chimota</creatorcontrib><creatorcontrib>Mallewa, Jane</creatorcontrib><creatorcontrib>Nyirenda, Mulinda</creatorcontrib><creatorcontrib>Katha, Grace</creatorcontrib><creatorcontrib>Mwandumba, Henry</creatorcontrib><creatorcontrib>Gordon, Stephen B</creatorcontrib><creatorcontrib>Jambo, Kondwani C</creatorcontrib><creatorcontrib>Cornick, Jennifer</creatorcontrib><creatorcontrib>Feasey, Nicholas</creatorcontrib><creatorcontrib>Barnes, Kayla G</creatorcontrib><creatorcontrib>Morton, Ben</creatorcontrib><creatorcontrib>Ashton, Philip M</creatorcontrib><creatorcontrib>Kalua, Wezzie</creatorcontrib><creatorcontrib>Mandala, Peter</creatorcontrib><creatorcontrib>Katutula, Barbara</creatorcontrib><creatorcontrib>Ng'oma, Rosaleen</creatorcontrib><creatorcontrib>Lanken, Steven</creatorcontrib><creatorcontrib>Phulusa, Jacob</creatorcontrib><creatorcontrib>Mkandawire, Mercy</creatorcontrib><creatorcontrib>Kaimba, Sylvester</creatorcontrib><creatorcontrib>Nthala, Sharon</creatorcontrib><creatorcontrib>Nsomba, Edna</creatorcontrib><creatorcontrib>Keyala, Lucy</creatorcontrib><creatorcontrib>Chinoko, Beatrice</creatorcontrib><creatorcontrib>Gmeiner, Markus</creatorcontrib><creatorcontrib>Kaudzu, Vella</creatorcontrib><creatorcontrib>Freyne, Bridget</creatorcontrib><creatorcontrib>Swarthout, Todd D</creatorcontrib><creatorcontrib>Tam, Pui-Ying Iroh</creatorcontrib><creatorcontrib>Sichone, Simon</creatorcontrib><creatorcontrib>Ahmadu, Ajisa</creatorcontrib><creatorcontrib>Stima, Grace</creatorcontrib><creatorcontrib>Masina, Mazuba</creatorcontrib><creatorcontrib>Kanjewa, Oscar</creatorcontrib><creatorcontrib>Nyasulu, Vita</creatorcontrib><creatorcontrib>Chinyama, End</creatorcontrib><creatorcontrib>Zuza, Allan</creatorcontrib><creatorcontrib>Denis, Brigitte</creatorcontrib><creatorcontrib>Storey, Evance</creatorcontrib><creatorcontrib>Bondera, Nedson</creatorcontrib><creatorcontrib>Matchado, Danford</creatorcontrib><creatorcontrib>Chande, Adams</creatorcontrib><creatorcontrib>Chingota, Arthur</creatorcontrib><creatorcontrib>Ntwea, Chimenya</creatorcontrib><creatorcontrib>Mkandawire, Langford</creatorcontrib><creatorcontrib>Mhango, Chimwemwe</creatorcontrib><creatorcontrib>Lakudzala, Agness</creatorcontrib><creatorcontrib>Chaponda, Mphatso</creatorcontrib><creatorcontrib>Mwenechanya, Percy</creatorcontrib><creatorcontrib>Mvaya, Leonard</creatorcontrib><creatorcontrib>Tembo, Dumizulu</creatorcontrib><creatorcontrib>Henrion, Marc Y. R</creatorcontrib><creatorcontrib>Chirombo, James</creatorcontrib><creatorcontrib>Kambiya, Paul</creatorcontrib><creatorcontrib>Masesa, Clemens</creatorcontrib><creatorcontrib>Gondwe, Joel</creatorcontrib><title>A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study</title><title>BMC Infectious Diseases</title><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[TM] 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 &lt; 0.001) and steroids (38.7% [29/75] vs. 70.3% [167/239], p &lt; 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. 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R</creatorcontrib><creatorcontrib>Chirombo, James</creatorcontrib><creatorcontrib>Kambiya, Paul</creatorcontrib><creatorcontrib>Masesa, Clemens</creatorcontrib><creatorcontrib>Gondwe, Joel</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anscombe, Catherine</au><au>Lissauer, Samantha</au><au>Thole, Herbert</au><au>Rylance, Jamie</au><au>Dula, Dingase</au><au>Menyere, Mavis</au><au>Kutambe, Belson</au><au>van der Veer, Charlotte</au><au>Phiri, Tamara</au><au>Banda, Ndaziona P</au><au>Mndolo, Kwazizira S</au><au>Mponda, Kelvin</au><au>Phiri, Chimota</au><au>Mallewa, Jane</au><au>Nyirenda, Mulinda</au><au>Katha, Grace</au><au>Mwandumba, Henry</au><au>Gordon, Stephen B</au><au>Jambo, Kondwani C</au><au>Cornick, Jennifer</au><au>Feasey, Nicholas</au><au>Barnes, Kayla G</au><au>Morton, Ben</au><au>Ashton, Philip M</au><au>Kalua, Wezzie</au><au>Mandala, Peter</au><au>Katutula, Barbara</au><au>Ng'oma, Rosaleen</au><au>Lanken, Steven</au><au>Phulusa, Jacob</au><au>Mkandawire, Mercy</au><au>Kaimba, Sylvester</au><au>Nthala, Sharon</au><au>Nsomba, Edna</au><au>Keyala, Lucy</au><au>Chinoko, Beatrice</au><au>Gmeiner, Markus</au><au>Kaudzu, Vella</au><au>Freyne, Bridget</au><au>Swarthout, Todd D</au><au>Tam, Pui-Ying Iroh</au><au>Sichone, Simon</au><au>Ahmadu, Ajisa</au><au>Stima, Grace</au><au>Masina, Mazuba</au><au>Kanjewa, Oscar</au><au>Nyasulu, Vita</au><au>Chinyama, End</au><au>Zuza, Allan</au><au>Denis, Brigitte</au><au>Storey, Evance</au><au>Bondera, Nedson</au><au>Matchado, Danford</au><au>Chande, Adams</au><au>Chingota, Arthur</au><au>Ntwea, Chimenya</au><au>Mkandawire, Langford</au><au>Mhango, Chimwemwe</au><au>Lakudzala, Agness</au><au>Chaponda, Mphatso</au><au>Mwenechanya, Percy</au><au>Mvaya, Leonard</au><au>Tembo, Dumizulu</au><au>Henrion, Marc Y. R</au><au>Chirombo, James</au><au>Kambiya, Paul</au><au>Masesa, Clemens</au><au>Gondwe, Joel</au><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><atitle>A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study</atitle><jtitle>BMC Infectious Diseases</jtitle><date>2023-02-07</date><risdate>2023</risdate><volume>23</volume><issue>1</issue><issn>1471-2334</issn><eissn>1471-2334</eissn><abstract>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[TM] 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 &lt; 0.001) and steroids (38.7% [29/75] vs. 70.3% [167/239], p &lt; 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. Keywords: COVID, SARS-CoV-2, ISARIC, Delta, Mortality, LMIC, Malawi, Africa</abstract><pub>BioMed Central Ltd</pub><doi>10.1186/s12879-022-07941-y</doi></addata></record>
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title A comparison of four epidemic waves of COVID-19 in Malawi; an observational cohort study
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