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)