COVID-19 hospitalization risk after outpatient nirmatrelvir/ritonavir use, January to August 2022, North Carolina

Author:

Henderson Heather I1ORCID,Wohl David A1ORCID,Fischer William A1ORCID,Bartelt Luther A1,van Duin David1ORCID,Agil Deana M1,Browne Lindsay E1,Li Kuo-Ping1,Moy Amanda1,Eron Joseph J1,Napravnik Sonia1ORCID

Affiliation:

1. Department of Medicine, University of North Carolina at Chapel Hill, School of Medicine , 130 Mason Farm Road, Chapel Hill, NC 27599 , USA

Abstract

Abstract Background In the USA, nirmatrelvir/ritonavir is authorized for the treatment of mild-to-moderate COVID-19 in patients at least 12 years of age, at high risk for progression to severe COVID-19. Objectives To estimate the impact of outpatient nirmatrelvir/ritonavir on COVID-19 hospitalization risk in a US healthcare system. Methods We conducted a cohort study using electronic health records among outpatients with a positive SARS-CoV-2 PCR test between January and August 2022. We evaluated the association of nirmatrelvir/ritonavir therapy with time to hospitalization by estimating adjusted HRs and assessed the impact of nirmatrelvir/ritonavir on predicted COVID-19 hospitalizations using machine-learning methods. Results Among 44 671 patients, 4948 (11%) received nirmatrelvir/ritonavir, and 201 (0.4%) were hospitalized within 28 days of COVID-19 diagnosis. Nirmatrelvir/ritonavir recipients were more likely to be older, white, vaccinated, have comorbidities and reside in areas with higher average socioeconomic status. The 28 day cumulative incidence of hospitalization was 0.06% (95% CI: 0.02%–0.17%) among nirmatrelvir/ritonavir recipients and 0.52% (95% CI: 0.46%–0.60%) among non-recipients. For nirmatrelvir/ritonavir versus no therapy, the age-adjusted HR was 0.08 (95% CI: 0.03–0.26); the fully adjusted HR was 0.16 (95% CI: 0.05–0.50). In the machine-learning model, the primary features reducing predicted hospitalization risk were nirmatrelvir/ritonavir, younger age, vaccination, female gender and residence in a higher socioeconomic status area. Conclusions COVID-19 hospitalization risk was reduced by 84% among nirmatrelvir/ritonavir recipients in a large, diverse healthcare system during the Omicron wave. These results suggest that nirmatrelvir/ritonavir remained highly effective in a setting substantially different than the original clinical trials.

Funder

University of North Carolina at Chapel Hill Center for AIDS Research

National Center for Advancing Translational Sciences

NIH

NIH-funded SeroNet Serocenter of Excellence Award

National Institute of Allergy and Infectious Diseases

Publisher

Oxford University Press (OUP)

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