Real-world effectiveness of nirmatrelvir/ritonavir against COVID-19 hospitalizations and severe COVID-19 in community-dwelling elderly Singaporeans during Omicron BA.2, BA.4/5, and XBB transmission.


Journal

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
ISSN: 1469-0691
Titre abrégé: Clin Microbiol Infect
Pays: England
ID NLM: 9516420

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 15 02 2023
revised: 19 05 2023
accepted: 12 06 2023
medline: 23 10 2023
pubmed: 19 6 2023
entrez: 18 6 2023
Statut: ppublish

Résumé

Real-world data on continued effectiveness of nirmatrelvir/ritonavir against hospitalization and severe COVID-19 in the context of widespread booster mRNA vaccine uptake and more immune-evasive Omicron sub-variants are lacking. We conducted a retrospective cohort study in adult Singaporeans aged ≥60 years presenting to primary care with SARS-CoV-2 infection, during waves of Omicron BA.2/4/5/XBB transmission. Binary logistic regression was used to estimate the effect of treatment (receiving nirmatrelvir/ritonavir) on outcomes (hospitalization, severe COVID-19). Additional sensitivity analyses, including inverse-probability-of-treatment-weighting-adjusted analysis and adjustment using overlap weights, were performed to account for observed differences in baseline characteristics among treated/untreated cohorts. We included 3959 nirmatrelvir/ritonavir recipients and 139 379 untreated controls. Almost 95% received ≥3 doses of mRNA vaccines; 5.4% had preceding infection. Overall 26.5% of infections occurred during the Omicron XBB period and 1.7% were hospitalized. On multivariable logistic regression, receipt of nirmatrelvir/ritonavir was independently associated with lower odds of hospitalization (adjusted odds ratio [aOR] = 0.65, 95% CI = 0.50-0.85). Consistent estimates were obtained after inverse-probability-of-treatment-weighting adjustment (aOR for hospitalization = 0.60, 95% CI = 0.48-0.75) and adjustment using overlap weights (aOR for hospitalization = 0.64, 95% CI = 0.51-0.79). Although receipt of nirmatrelvir/ritonavir was associated with lower odds of severe COVID-19, it was not statistically significant. Outpatient usage of nirmatrelvir/ritonavir was independently associated with reduced odds of hospitalization amongst boosted older community-dwelling Singaporeans during successive waves of Omicron transmission, including Omicron XBB; however, it did not significantly reduce the already low risk of severe COVID-19 in a highly vaccinated population.

Identifiants

pubmed: 37331509
pii: S1198-743X(23)00294-X
doi: 10.1016/j.cmi.2023.06.016
pmc: PMC10275656
pii:
doi:

Substances chimiques

nirmatrelvir 7R9A5P7H32
Ritonavir O3J8G9O825

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1328-1333

Informations de copyright

Copyright © 2023 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Auteurs

Liang En Wee (LE)

National Centre for Infectious Diseases, Singapore, Singapore; Duke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore; Department of Infectious Diseases, Singapore General Hospital, Singapore, Singapore. Electronic address: ian.wee.l.e@singhealth.com.sg.

An Ting Tay (AT)

Ministry of Health, Singapore, Singapore.

Calvin Chiew (C)

National Centre for Infectious Diseases, Singapore, Singapore; Ministry of Health, Singapore, Singapore.

Barnaby Edward Young (BE)

National Centre for Infectious Diseases, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore.

Betty Wong (B)

Ministry of Health, Singapore, Singapore.

Ruth Lim (R)

Ministry of Health, Singapore, Singapore.

Ching Li Lee (CL)

Ministry of Health, Singapore, Singapore.

Joyce Tan (J)

Ministry of Health, Singapore, Singapore.

Shawn Vasoo (S)

National Centre for Infectious Diseases, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

David Chien Lye (DC)

National Centre for Infectious Diseases, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Kelvin Bryan Tan (KB)

Ministry of Health, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.

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Classifications MeSH