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Analysis of variants' dynamic using the CLIMB database in COVID-19 patients admitted to hospitals of Barts Health NHS Trust
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  • Concetta Piazzese,
  • Sophie Williams,
  • Adam Brentall,
  • Beatrix Kele,
  • Jon Bible,
  • Kathryn Harris,
  • Teresa Cutino-Moguel
Concetta Piazzese
Barts Health NHS Trust

Corresponding Author:c.piazzese@nhs.net

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Sophie Williams
Barts Health NHS Trust
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Adam Brentall
Queen Mary University of London
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Beatrix Kele
UK Health Security Agency
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Jon Bible
Barts Health NHS Trust
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Kathryn Harris
Barts Health NHS Trust
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Teresa Cutino-Moguel
Barts Health NHS Trust
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Abstract

not-yet-known not-yet-known not-yet-known unknown The COVID-19 pandemic, caused by SARS-CoV-2, has led to significant global health challenges. This study analyses the dynamics of SARS-CoV-2 variants among patients admitted to Barts Health NHS Trust hospitals using data from the CLIMB-COVID decentralized digital infrastructure allowing precise identification of SARS-CoV-2 variants. A total of 423 patients admitted between October 2020 and March 2021 were included in the study and divided into two groups: the Alpha lineage group, which comprised the B.1.1.7 variant, and the other lineages group, which included all other variants. Whole-genome sequencing of SARS-CoV-2 genomes was conducted using the COVID-CLIMB pipelines. Clinical outcomes, such as mortality rates and deterioration within 28 days, were analysed. To ensure robust findings, analyses were adjusted for confounding factors, including age and comorbidities. Our findings revealed a significant increase in mortality with age for the Alpha lineage and other lineages. The study underscores the importance of age adjustment in clinical studies to accurately assess the impact of different variants. Consistent genomic sequencing and data completeness are crucial for obtaining reliable results and guiding public health responses. These insights are vital for improving patient outcomes and providing a truthful picture of the pandemic, informing both current and future healthcare strategies.
22 Nov 2024Submitted to Journal of Medical Virology
23 Nov 2024Submission Checks Completed
23 Nov 2024Assigned to Editor
23 Nov 2024Review(s) Completed, Editorial Evaluation Pending
04 Dec 2024Reviewer(s) Assigned