Identifying Veterans Who Benefit From Nirmatrelvir-Ritonavir: A Target Trial Emulation

Author:

Yan Lei12,Bui David3,Li Yuli14,Rajeevan Nallakkandi14,Rowneki Mazhgan5,Berry Kristin6,Argraves Stephanie1,Huang Yuan12,Hynes Denise M57,Cunningham Francesca8,Huang Grant D9,Aslan Mihaela19,Ioannou George N610,Bajema Kristina L311ORCID

Affiliation:

1. Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Health Care System , West Haven, Connecticut , USA

2. Department of Biostatistics, Yale School of Public Health , New Haven, Connecticut , USA

3. Veterans Affairs Portland Health Care System , Portland, Oregon , USA

4. Biomedical Informatics & Data Science, Yale School of Medicine , New Haven, Connecticut , USA

5. Center of Innovation to Improve Veteran Involvement in Care (CIVIC), Veterans Affairs Portland Healthcare System , Portland, Oregon , USA

6. Research and Development, Veterans Affairs Puget Sound Health Care System , Seattle, Washington , USA

7. Health Management and Policy, School of Social and Behavioral Health Sciences, College of Public Health and Human Sciences; Health Data and Informatics Program, Center for Quantitative Life Sciences, Oregon State University , Corvallis, Oregon , USA

8. Veterans Affairs Center for Medication Safety—Pharmacy Benefit Management (PBM) Services , Hines, Illinois , USA

9. Office of Research and Development, Veterans Health Administration , Washington D.C. , USA

10. Divisions of Gastroenterology, Veterans Affairs Puget Sound Health Care System and University of Washington , Seattle, Washington , USA

11. Division of Infectious Diseases, Department of Medicine, Oregon Health and Science University , Portland, Oregon , USA

Abstract

Abstract Background Nirmatrelvir-ritonavir is recommended for persons at risk for severe coronavirus disease 2019 (COVID-19) but remains underutilized. Information on which eligible groups are likely to benefit from treatment is needed. Methods We conducted a target trial emulation study in the Veterans Health Administration comparing nirmatrelvir–ritonavir treated versus matched untreated veterans at risk for severe COVID-19 who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from April 2022 through March 2023. We measured incidence of any hospitalization or all-cause mortality at 30 days. Outcomes were measured for the entire cohort, as well as among subgroups defined by 30-day risk of death or hospitalization, estimated using an ensemble risk prediction model. Results Participants were 87% male with median age 66 years and 16% unvaccinated. Compared with matched untreated participants, those treated with nirmatrelvir-ritonavir (n = 24 205) had a lower 30-day risk for hospitalization (1.80% vs 2.30%; risk difference [RD], −0.50% points [95% confidence interval {CI}: −.69 to −.35]) and death (0.11% vs 0.30%; RD, −0.20 [95% CI: −.24 to −.13]). The greatest reductions in combined hospitalization or death were observed in the highest risk quartile (RD −2.85 [95% CI: −3.94 to −1.76]), immunocompromised persons (RD −1.91 [95% CI: −3.09 to −.74]), and persons aged ≥75 years (RD −1.16 [95% CI: −1.73 to −.59]). No reductions were observed in the 2 lowest risk quartiles or persons younger than 65 years. Conclusions Nirmatrelvir-ritonavir was effective in reducing 30-day hospitalization and death in older veterans, those at highest predicted risk for severe outcomes, and immunocompromised groups. Benefit was not observed in younger veterans or groups at lower predicted risk for hospitalization and death.

Funder

US Department of Veterans Affairs Cooperative Studies Program

Publisher

Oxford University Press (OUP)

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