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Genomically informed clinical comparison of three epidemic waves of COVID-19 in Malawi
Catherine Anscombe; Samantha Lissauer; Herbert Thole; Jamie Rylance; Dingase Dula; Mavis Menyere; Belson Kutambe; Charlotte van der Veer; Tamara Phiri; Ndaziona P. Banda; Kwazizira S. Mndolo; Kelvin Mponda; Chimota Phiri; Jane Mallewa; Mulinda Nyirenda; Grace Katha; Jennifer Cornick; Henry Mwandumba; Stephen B. Gordon; Kondwani C. Jambo; Nicholas Feasey; Kayla G. Barnes; Ben Morton; Philip M. Ashton; - Blantyre COVID-Consortium.
Affiliation
  • Catherine Anscombe; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Samantha Lissauer; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Herbert Thole; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Jamie Rylance; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Dingase Dula; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Mavis Menyere; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Belson Kutambe; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Charlotte van der Veer; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Tamara Phiri; Department of Medicine, Queen Elizabeth Central Hospital, Blantyre, Malawi
  • Ndaziona P. Banda; Kamuzu University of Health Sciences (formerly University of Malawi-College of Medicine) Blantyre, Malawi
  • Kwazizira S. Mndolo; Department of Medicine, Queen Elizabeth Central Hospital, Blantyre, Malawi
  • Kelvin Mponda; Department of Medicine, Queen Elizabeth Central Hospital, Blantyre, Malawi
  • Chimota Phiri; Department of Medicine, Queen Elizabeth Central Hospital, Blantyre, Malawi
  • Jane Mallewa; Kamuzu University of Health Sciences (formerly University of Malawi-College of Medicine) Blantyre, Malawi
  • Mulinda Nyirenda; Department of Medicine, Queen Elizabeth Central Hospital, Blantyre, Malawi
  • Grace Katha; Department of Medicine, Queen Elizabeth Central Hospital, Blantyre, Malawi
  • Jennifer Cornick; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Henry Mwandumba; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Stephen B. Gordon; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Kondwani C. Jambo; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Nicholas Feasey; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Kayla G. Barnes; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Ben Morton; Malawi-Liverpool-Wellcome Clinical Research Programme
  • Philip M. Ashton; Malawi-Liverpool-Wellcome Clinical Research Programme
  • - Blantyre COVID-Consortium;
Preprint in English | medRxiv | ID: ppmedrxiv-22269742
ABSTRACT
BackgroundCompared 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. MethodsWe 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. ResultsWe 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. ConclusionsOur 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. SummaryWe used genome sequencing to identify the variants of SARS-CoV-2 causing disease in Malawi, and found that each of the four waves was caused by a distinct variant. Clinical investigation suggested that the Delta wave had the highest mortality.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study Language: English Year: 2022 Document type: Preprint
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