Comparing the effectiveness of molnupiravir and nirmatrelvir‐ritonavir in non‐hospitalized and hospitalized COVID ‐19 patients with type 2 diabetes:A target trial emulation study

Abstract

Aims: To compare the effectiveness of molnupiravir and nirmatrelvir‐ritonavir for non‐hospitalized and hospitalized COVID‐19 patients with type 2 diabetes (T2DM). Materials and Methods: Territory‐wide electronic health records in Hong Kong were used to perform target trial emulation using a sequential trial approach. Patients (1) aged ≥18 years, (2) with T2DM, (3) with COVID‐19 infection, and (4) who received molnupiravir or nirmatrelvir‐ritonavir within 5 days of infection between 16 March 2022 and 31 December 2022 in non‐hospital and hospital settings were included. Molnupiravir and nirmatrelvir‐ritonavir initiators were matched using one‐to‐one propensity‐score matching and followed for 28 days. Risk of outcomes was compared between groups by Cox regression adjusted for baseline characteristics. Subgroup analyses were performed on age (

Publication DOI: https://doi.org/10.1111/dom.15830
Divisions: College of Health & Life Sciences > Aston Pharmacy School
College of Health & Life Sciences
Funding Information: This work was supported by HMRF Research on COVID\u201019, the HKSAR Government (Principal Investigator [WP2]: Esther W. Y. Chan; ref no. COVID1903011), the Collaborative Research Fund, University Grants Committee, the HKSAR Government (Principal Investig
Additional Information: Published CC BY NC Publisher Copyright: © 2024 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.
Uncontrolled Keywords: effectiveness,pharmacoepidemiology,real-world evidence,type 2 diabetes,Endocrinology,Internal Medicine,Endocrinology, Diabetes and Metabolism
Publication ISSN: 1463-1326
Data Access Statement: Data are not available as the data custodians (the Hospital Authority and the Department of Health of Hong Kong SAR) have not given permission for sharing due to patient confidentiality and privacy concerns. Local academic institutions, government departments, or non-governmental organizations may apply for the access to data through the Hospital Authority's data sharing portal (https://www3.ha.org.hk/data).
Last Modified: 16 Aug 2024 13:52
Date Deposited: 16 Aug 2024 13:52
Full Text Link:
Related URLs: https://dom-pub ... .1111/dom.15830 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-08-07
Published Online Date: 2024-08-07
Accepted Date: 2024-07-03
Submitted Date: 2024-05-11
Authors: Wan, Eric Y. F.
Wong, Zoey C. T.
Yan, Vincent K. C.
Chui, Celine S. L.
Lai, Francisco T. T.
Li, Xue
Wong, Ian C. K. (ORCID Profile 0000-0001-8242-0014)
Chan, Esther W. Y.

Download

Export / Share Citation


Statistics

Additional statistics for this record