Analysis of variants' dynamic using the CLIMB database in COVID-19
patients admitted to hospitals of Barts Health NHS Trust
- 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
Author ProfileAbstract
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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