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- Title
Evaluating in vivo effectiveness of sotrovimab for the treatment of Omicron subvariant BA.2 versus BA.1: a multicentre, retrospective cohort study.
- Authors
Lo, Carson K. L.; Lo, Calvin K. F.; Komorowski, Adam S.; Leung, Victor; Matic, Nancy; McKenna, Susan; Perez-Patrigeon, Santiago; Sheth, Prameet M.; Lowe, Christopher F.; Chagla, Zain; Bai, Anthony D.
- Abstract
Background: In vitro data suggested reduced neutralizing capacity of sotrovimab, a monoclonal antibody, against Omicron BA.2 subvariant. However, limited in vivo data exist regarding clinical effectiveness of sotrovimab for coronavirus disease 2019 (COVID-19) due to Omicron BA.2. Methods: A multicentre, retrospective cohort study was conducted at three Canadian academic tertiary centres. Electronic medical records were reviewed for patients ≥ 18 years with mild COVID-19 (sequencing-confirmed Omicron BA.1 or BA.2) treated with sotrovimab between February 1 to April 1, 2022. Thirty-day co-primary outcomes included hospitalization due to moderate or severe COVID-19; all-cause intensive care unit (ICU) admission, and all-cause mortality. Risk differences (BA.2 minus BA.1 group) for co-primary outcomes were adjusted with propensity score matching (e.g., age, sex, vaccination, immunocompromised status). Results: Eighty-five patients were included (15 BA.2, 70 BA.1) with similar baseline characteristics between groups. Adjusted risk differences were non-statistically significant between groups for 30-day hospitalization (− 14.3%; 95% confidence interval (CI): − 32.6 to 4.0%), ICU admission (− 7.1%; 95%CI: − 20.6 to 6.3%), and mortality (− 7.1%; 95%CI: − 20.6 to 6.3%). Conclusions: No differences were demonstrated in hospitalization, ICU admission, or mortality rates within 30 days between sotrovimab-treated patients with BA.1 versus BA.2 infection. More real-world data may be helpful to properly assess sotrovimab's effectiveness against infections due to specific emerging COVID-19 variants.
- Subjects
SARS-CoV-2 Omicron variant; COVID-19; COHORT analysis; PROPENSITY score matching; ELECTRONIC health records
- Publication
BMC Research Notes, 2024, Vol 17, Issue 1, p1
- ISSN
1756-0500
- Publication type
Article
- DOI
10.1186/s13104-024-06695-x