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Real-world use of nirmatrelvir-ritonavir in COVID-19 outpatients during BQ.1, BQ.1.1., and XBB.1.5 predominant omicron variants in three U.S. health systems: a retrospective cohort study.
Aggarwal, Neil R; Beaty, Laurel E; Bennett, Tellen D; Fish, Lindsey E; Jacobs, Jason R; Mayer, David A; Molina, Kyle C; Peers, Jennifer L; Richardson, Douglas B; Russell, Seth; Varela, Alejandro; Webb, Brandon J; Wynia, Matthew K; Xiao, Mengli; Carlson, Nichole E; Ginde, Adit A.
Afiliación
  • Aggarwal NR; Department of Medicine, Division of Pulmonary Sciences and Critical Care, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
  • Beaty LE; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, 80045, USA.
  • Bennett TD; Departments of Biomedical Informatics and Pediatrics, University of Colorado School of Medicine, Colorado Clinical and Translational Sciences Institute, University of Colorado Anschutz Medical Campus, Aurora, 80045, USA.
  • Fish LE; Division of General Internal Medicine, Denver Health and Hospital and University of Colorado School of Medicine, Denver, CO, 80204, USA.
  • Jacobs JR; Pulmonology and Critical Care Medicine Research, Intermountain Health, Murray, UT, 84107, USA.
  • Mayer DA; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, 80045, USA.
  • Molina KC; Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
  • Peers JL; Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
  • Richardson DB; Division of General Internal Medicine, Denver Health and Hospital and University of Colorado School of Medicine, Denver, CO, 80204, USA.
  • Russell S; Departments of Biomedical Informatics and Pediatrics, University of Colorado School of Medicine, Colorado Clinical and Translational Sciences Institute, University of Colorado Anschutz Medical Campus, Aurora, 80045, USA.
  • Varela A; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, 80045, USA.
  • Webb BJ; Division of Infectious Diseases and Clinical Epidemiology, Intermountain Health, Salt Lake City, UT, 84107, USA.
  • Wynia MK; Department of Medicine, Division of Pulmonary Sciences and Critical Care, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
  • Xiao M; Department of Health Systems Management and Policy, University of Colorado Center for Bioethics and Humanities, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, 80045, USA.
  • Carlson NE; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, 80045, USA.
  • Ginde AA; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, 80045, USA.
Lancet Reg Health Am ; 31: 100693, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38500962
ABSTRACT

Background:

Ritonavir-boosted Nirmatrelvir (NMV-r), a protease inhibitor with in vitro activity against SARS-CoV-2, can reduce risk of progression to severe COVID-19 among high-risk individuals infected with earlier variants, but less is known about its effectiveness against omicron variants BQ.1/BQ.1.1/XBB.1.5. We sought to evaluate effectiveness of NMV-r in BQ.1/BQ.1.1/XBB.1.5 omicron variants by comparing hospitalisation rates to NMV-r treated patients during a previous omicron phase and to contemporaneous untreated patients.

Methods:

We conducted a retrospective observational cohort study of non-hospitalised adult patients with SARS-CoV-2 infection using real-world data from three health systems in Colorado and Utah, and compared hospitalisation rates in NMV-r-treated patients in a BA.2/BA.2.12.1/BA.4/BA.5 variant-predominant (first) phase (April 3, 2022-November 12, 2022), with a BQ.1/BQ.1.1/XBB.1.5 variant-predominant (second) phase (November 13, 2022-March 7, 2023). In the primary analysis, we used Firth logistic regression with a two-segment (phase) linear time model, and pre-specified non-inferiority bounds for the mean change between segments. In a pre-specified secondary analysis, we inferred NMV-r effectiveness in a cohort of treated and untreated patients infected during the second phase. For both analyses, the primary outcome was 28-day all-cause hospitalisation. Subgroup analyses assessed treatment effect heterogeneity.

Findings:

In the primary analysis, 28-day all-cause hospitalisation rates in NMV-r treated patients in the second phase (n = 12,061) were non-inferior compared to the first phase (n = 25,075) (198 [1.6%] vs. 345 [1.4%], adjusted odds ratio (aOR) 0.76 [95% CI 0.54-1.06]), with consistent results among secondary endpoints and key subgroups. Secondary cohort analyses revealed additional evidence for NMV-r effectiveness, with reduced 28-day hospitalisation rates among treated patients compared to untreated patients during a BQ.1/BQ.1.1/XBB.1.5 predominant phase (198/12,061 [1.6%] vs. 376/10,031 [3.7%], aOR 0.34 [95% CI 0.30-0.38), findings robust to additional sensitivity analyses.

Interpretation:

Real-world evidence from major US healthcare systems suggests ongoing NMV-r effectiveness in preventing hospitalisation during a BQ.1/BQ.1.1/XBB.1.5-predominant phase in the U.S, supporting its continued use in similar patient populations.

Funding:

U.S. National Institutes of Health.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Lancet Reg Health Am Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Lancet Reg Health Am Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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