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Population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from COVID-19

BACKGROUND: A randomized controlled trial involving a high-risk, unvaccinated population that was conducted before the Omicron variant emerged found that nirmatrelvir–ritonavir was effective in preventing progression to severe COVID-19. Our objective was to evaluate the effectiveness of nirmatrelvir...

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Autores principales: Schwartz, Kevin L., Wang, Jun, Tadrous, Mina, Langford, Bradley J., Daneman, Nick, Leung, Valerie, Gomes, Tara, Friedman, Lindsay, Daley, Peter, Brown, Kevin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CMA Impact Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928441/
https://www.ncbi.nlm.nih.gov/pubmed/36781188
http://dx.doi.org/10.1503/cmaj.221608
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author Schwartz, Kevin L.
Wang, Jun
Tadrous, Mina
Langford, Bradley J.
Daneman, Nick
Leung, Valerie
Gomes, Tara
Friedman, Lindsay
Daley, Peter
Brown, Kevin A.
author_facet Schwartz, Kevin L.
Wang, Jun
Tadrous, Mina
Langford, Bradley J.
Daneman, Nick
Leung, Valerie
Gomes, Tara
Friedman, Lindsay
Daley, Peter
Brown, Kevin A.
author_sort Schwartz, Kevin L.
collection PubMed
description BACKGROUND: A randomized controlled trial involving a high-risk, unvaccinated population that was conducted before the Omicron variant emerged found that nirmatrelvir–ritonavir was effective in preventing progression to severe COVID-19. Our objective was to evaluate the effectiveness of nirmatrelvir–ritonavir in preventing severe COVID-19 while Omicron and its subvariants predominate. METHODS: We conducted a population-based cohort study in Ontario that included all residents who were older than 17 years of age and had a positive polymerase chain reaction test for SARS-CoV-2 between Apr. 4 and Aug. 31, 2022. We compared patients treated with nirmatrelvir–ritonavir with patients who were not treated and measured the primary outcome of hospital admission from COVID-19 or all-cause death at 1–30 days, and a secondary outcome of all-cause death. We used weighted logistic regression to calculate weighted odds ratios (ORs) with confidence intervals (CIs) using inverse probability of treatment weighting (IPTW) to control for confounding. RESULTS: The final cohort included 177 545 patients, 8876 (5.0%) who were treated with nirmatrelvir–ritonavir and 168 669 (95.0%) who were not treated. The groups were well balanced with respect to demographic and clinical characteristics after applying stabilized IPTW. We found that the occurrence of hospital admission or death was lower in the group given nirmatrelvir–ritonavir than in those who were not (2.1% v. 3.7%; weighted OR 0.56, 95% CI 0.47–0.67). For death alone, the weighted OR was 0.49 (95% CI 0.39–0.62). Our findings were similar across strata of age, drug–drug interactions, vaccination status and comorbidities. The number needed to treat to prevent 1 case of severe COVID-19 was 62 (95% CI 43–80), which varied across strata. INTERPRETATION: Nirmatrelvir–ritonavir was associated with significantly reduced odds of hospital admission and death from COVID-19, which supports use to treat patients with mild COVID-19 who are at risk for severe disease.
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spelling pubmed-99284412023-02-16 Population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from COVID-19 Schwartz, Kevin L. Wang, Jun Tadrous, Mina Langford, Bradley J. Daneman, Nick Leung, Valerie Gomes, Tara Friedman, Lindsay Daley, Peter Brown, Kevin A. CMAJ Research BACKGROUND: A randomized controlled trial involving a high-risk, unvaccinated population that was conducted before the Omicron variant emerged found that nirmatrelvir–ritonavir was effective in preventing progression to severe COVID-19. Our objective was to evaluate the effectiveness of nirmatrelvir–ritonavir in preventing severe COVID-19 while Omicron and its subvariants predominate. METHODS: We conducted a population-based cohort study in Ontario that included all residents who were older than 17 years of age and had a positive polymerase chain reaction test for SARS-CoV-2 between Apr. 4 and Aug. 31, 2022. We compared patients treated with nirmatrelvir–ritonavir with patients who were not treated and measured the primary outcome of hospital admission from COVID-19 or all-cause death at 1–30 days, and a secondary outcome of all-cause death. We used weighted logistic regression to calculate weighted odds ratios (ORs) with confidence intervals (CIs) using inverse probability of treatment weighting (IPTW) to control for confounding. RESULTS: The final cohort included 177 545 patients, 8876 (5.0%) who were treated with nirmatrelvir–ritonavir and 168 669 (95.0%) who were not treated. The groups were well balanced with respect to demographic and clinical characteristics after applying stabilized IPTW. We found that the occurrence of hospital admission or death was lower in the group given nirmatrelvir–ritonavir than in those who were not (2.1% v. 3.7%; weighted OR 0.56, 95% CI 0.47–0.67). For death alone, the weighted OR was 0.49 (95% CI 0.39–0.62). Our findings were similar across strata of age, drug–drug interactions, vaccination status and comorbidities. The number needed to treat to prevent 1 case of severe COVID-19 was 62 (95% CI 43–80), which varied across strata. INTERPRETATION: Nirmatrelvir–ritonavir was associated with significantly reduced odds of hospital admission and death from COVID-19, which supports use to treat patients with mild COVID-19 who are at risk for severe disease. CMA Impact Inc. 2023-02-13 2023-02-13 /pmc/articles/PMC9928441/ /pubmed/36781188 http://dx.doi.org/10.1503/cmaj.221608 Text en © 2023 CMA Impact Inc. or its licensors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Research
Schwartz, Kevin L.
Wang, Jun
Tadrous, Mina
Langford, Bradley J.
Daneman, Nick
Leung, Valerie
Gomes, Tara
Friedman, Lindsay
Daley, Peter
Brown, Kevin A.
Population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from COVID-19
title Population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from COVID-19
title_full Population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from COVID-19
title_fullStr Population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from COVID-19
title_full_unstemmed Population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from COVID-19
title_short Population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from COVID-19
title_sort population-based evaluation of the effectiveness of nirmatrelvir–ritonavir for reducing hospital admissions and mortality from covid-19
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928441/
https://www.ncbi.nlm.nih.gov/pubmed/36781188
http://dx.doi.org/10.1503/cmaj.221608
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