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Zhang Y, Wang X, Huang C, Yang H, Jiang C, Yu X, Hong J, Zhang Y, Wang Y, Zhao R, An Z, Tong Z. Nirmatrelvir-Ritonavir Reduced Mortality in Hospitalized Patients with COVID-19 During the Omicron Outbreak: Real-World Evidence from Beijing. Infect Drug Resist 2024; 17:1367-1377. [PMID: 38618583 PMCID: PMC11012621 DOI: 10.2147/idr.s445826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/24/2024] [Indexed: 04/16/2024] Open
Abstract
Objective The efficacy of nirmatrelvir-ritonavir for hospitalized patients with COVID-19 has not been fully established. Methods We conducted a retrospective analysis of hospitalized COVID-19 patients with high risk for disease progression at Beijing Chaoyang Hospital from October 15, 2022, to March 31, 2023. Patients ≥18 years old who were hospitalized with COVID-19 within 5 days of symptom onset were included. Baseline data were obtained from the routine electronic health record database of the hospital information system. Outcomes were monitored at 28 days via electronic medical record reviews or telephone interviews. Results We identified 1120 patients hospitalized with COVID-19 during the study period. After exclusions, 167 nirmatrelvir-ritonavir users and 132 controls were included. 28-day all-cause mortality rate was 12.0% (20/167) in the nirmatrelvir-ritonavir group, versus 22.7% (30/132) in the control group (unadjusted log-rank p = 0.010; HR = 0.49, 95% confidence interval [CI] = 0.28-0.86, IPTW-adjusted HR = 0.58, 95% CI = 0.40-0.86). The 28-day disease progression rates did not differ between the two groups (unadjusted HR = 0.59, 95% CI = 0.34-1.02, IPTW-adjusted HR = 0.73, 95% CI = 0.50-1.06). Nirmatrelvir-ritonavir significantly reduced all-cause mortality and disease progression within 28 days among patients aged ≥65 years without ≥2 vaccine doses. Conclusion We found significantly reduced all-cause mortality in the nirmatrelvir-ritonavir group, particularly in elderly patients who were incompletely vaccinated. Future randomized controlled studies are needed to validate our findings.
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Affiliation(s)
- Yi Zhang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xinrui Wang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Chong Huang
- School of Pharmaceutical Sciences, Capital Medical University, Beijing, People’s Republic of China
| | - Hui Yang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Chunguo Jiang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xiaojia Yu
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Jun Hong
- School of Pharmaceutical Sciences, Capital Medical University, Beijing, People’s Republic of China
| | - Yi Zhang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yushu Wang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Rui Zhao
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Zhuoling An
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Zhaohui Tong
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
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Ombelet S, Castanares-Zapatero D, Desimpel F, Hulstaert F, Stordeur S, Roberfroid D. Effectiveness of nirmatrelvir-ritonavir on severe outcomes of COVID-19 in the era of vaccination and Omicron: An updated meta-analysis. J Med Virol 2024; 96:e29434. [PMID: 38376947 DOI: 10.1002/jmv.29434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/18/2023] [Accepted: 01/16/2024] [Indexed: 02/22/2024]
Abstract
Nirmatrelvir-ritonavir (NR) was approved to treat SARS-CoV-2 positive outpatients at high risk of progression to severe disease, based on a randomized trial in unvaccinated patients. Effectiveness in vaccinated patients and against Omicron has not yet been confirmed by clinical trial data, but a recent meta-analysis suggested good real-world effectiveness based on 12 studies. We updated this meta-analysis by searching Medline and Embase databases for studies assessing effectiveness of NR on mortality, hospitalization, composite outcome of hospitalization and/or death, and progression to severe disease, published between October 1, 2022 and May 22, 2023. Random effects meta-analysis and subgroup analysis for vaccinated patients was performed. A total of 32 studies were included in the meta-analysis. Pooled RR for the effect of NR on mortality, hospitalization, hospitalization and/or mortality, and progression to severe disease were 0.36 (95% confidence interval [CI]: 0.25-0.52), 0.43 (CI: 0.37-0.51), 0.52 (CI: 0.45-0.61) and 0.54 (CI: 0.41-0.73), respectively. A subgroup analysis on vaccinated patients indicated lower effectiveness of NR on mortality (RR: 0.55, CI: 0.45-0.68), but similar effectiveness for hospitalization, hospitalization and/or mortality, or progression to severe disease (RR: 0.52, 0.58, and 0.66, respectively). This updated meta-analysis robustly confirms the protective effects of NR on severe COVID-19 outcomes.
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Affiliation(s)
- Sien Ombelet
- Belgian Health Care Knowledge Centre (KCE), Brussels, Belgium
| | | | - Fabian Desimpel
- Belgian Health Care Knowledge Centre (KCE), Brussels, Belgium
| | - Frank Hulstaert
- Belgian Health Care Knowledge Centre (KCE), Brussels, Belgium
| | - Sabine Stordeur
- Directorate-General Public Health, Federal Public Service of Health, Food Chain Safety and Environment, Brussels, Belgium
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Durstenfeld MS, Peluso MJ, Lin F, Peyser ND, Isasi C, Carton TW, Henrich TJ, Deeks SG, Olgin JE, Pletcher MJ, Beatty AL, Marcus GM, Hsue PY. Association of nirmatrelvir for acute SARS-CoV-2 infection with subsequent Long COVID symptoms in an observational cohort study. J Med Virol 2024; 96:e29333. [PMID: 38175151 PMCID: PMC10786003 DOI: 10.1002/jmv.29333] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024]
Abstract
Oral nirmatrelvir/ritonavir is approved as treatment for acute COVID-19, but the effect of treatment during acute infection on risk of Long COVID is unknown. We hypothesized that nirmatrelvir treatment during acute SARS-CoV-2 infection reduces risk of developing Long COVID and rebound after treatment is associated with Long COVID. We conducted an observational cohort study within the Covid Citizen Science (CCS) study, an online cohort study with over 100 000 participants. We included vaccinated, nonhospitalized, nonpregnant individuals who reported their first SARS-CoV-2 positive test March-August 2022. Oral nirmatrelvir/ritonavir treatment was ascertained during acute SARS-CoV-2 infection. Patient-reported Long COVID symptoms, symptom rebound and test-positivity rebound were asked on subsequent surveys at least 3 months after SARS-CoV-2 infection. A total of 4684 individuals met the eligibility criteria, of whom 988 (21.1%) were treated and 3696 (78.9%) were untreated; 353/988 (35.7%) treated and 1258/3696 (34.0%) untreated responded to the Long COVID survey (n = 1611). Among 1611 participants, median age was 55 years and 66% were female. At 5.4 ± 1.3 months after infection, nirmatrelvir treatment was not associated with subsequent Long COVID symptoms (odds ratio [OR]: 1.15; 95% confidence interval [CI]: 0.80-1.64; p = 0.45). Among 666 treated who answered rebound questions, rebound symptoms or test positivity were not associated with Long COVID symptoms (OR: 1.34; 95% CI: 0.74-2.41; p = 0.33). Within this cohort of vaccinated, nonhospitalized individuals, oral nirmatrelvir treatment during acute SARS-CoV-2 infection and rebound after nirmatrelvir treatment were not associated with Long COVID symptoms more than 90 days after infection.
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Affiliation(s)
- Matthew S. Durstenfeld
- Division of Cardiology at ZSFG and Department of Medicine, University of California, San Francisco (UCSF), USA
| | | | - Feng Lin
- Department of Epidemiology and Biostatistics, UCSF, USA
| | | | - Carmen Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine
| | | | | | - Steven G. Deeks
- Division of HIV, Infectious Disease, & Global Medicine, UCSF, USA
| | | | | | - Alexis L. Beatty
- Department of Epidemiology and Biostatistics and Division of Cardiology, Department of Medicine, UCSF, USA
| | | | - Priscilla Y. Hsue
- Division of Cardiology at ZSFG and Department of Medicine, University of California, San Francisco (UCSF), USA
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Kaboré JL, Laffont B, Diop M, Tardif MR, Turgeon AF, Dumaresq J, Luong ML, Cauchon M, Chapdelaine H, Claveau D, Brosseau M, Haddad E, Benigeri M. Real-World Effectiveness of Nirmatrelvir/Ritonavir on Coronavirus Disease 2019-Associated Hospitalization Prevention: A Population-based Cohort Study in the Province of Quebec, Canada. Clin Infect Dis 2023; 77:805-815. [PMID: 37149726 DOI: 10.1093/cid/ciad287] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/28/2023] [Accepted: 05/04/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND Nirmatrelvir/ritonavir has shown to reduce COVID-19 hospitalization and death before Omicron, but updated real-world evidence studies are needed. This study aimed to assess whether nirmatrelvir/ritonavir reduces the risk of COVID-19-associated hospitalization among high-risk outpatients. METHODS A retrospective cohort study of outpatients with SARS-CoV-2 between March 15 and 15 October 2022, using data from the Quebec clinico-administrative databases. Outpatients treated with nirmatrelvir/ritonavir were compared with infected ones not receiving nirmatrelvir/ritonavir using propensity-score matching. Relative risk (RR) of COVID-19-associated hospitalization within 30 days was assessed using a Poisson regression. RESULTS A total of 8402 treated outpatients were matched to controls. Regardless of vaccination status, nirmatrelvir/ritonavir treatment was associated with a 69% reduced RR of hospitalization (RR: .31; 95% CI: .28; .36; number needed to treat [NNT] = 13). The effect was more pronounced in outpatients with incomplete primary vaccination (RR: .04; 95% CI: .03; .06; NNT = 8), while no benefit was found in those with a complete primary vaccination (RR: .93; 95% CI: .78; 1.08). Subgroups analysis among high-risk outpatients with a complete primary vaccination showed that nirmatrelvir/ritonavir treatment was associated with a significant decrease in the RR of hospitalization in severely immunocompromised outpatients (RR: .66; 95% CI: .50; .89; NNT = 16) and in high-risk outpatients aged ≥70 years (RR: .50; 95% CI: .34; .74; NNT = 10) when the last dose of the vaccine was received at least 6 months ago. CONCLUSIONS Nirmatrelvir/ritonavir reduces the risk of COVID-19-associated hospitalization among incompletely vaccinated high-risk outpatients and among some subgroups of completely vaccinated high-risk outpatients.
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Affiliation(s)
- Jean-Luc Kaboré
- Institut National d'Excellence en Santé et Services Sociaux (INESSS) du Québec (Québec National Institute for Excellence in Health and Social Services), Quebec City, Quebec, Canada
| | - Benoît Laffont
- Institut National d'Excellence en Santé et Services Sociaux (INESSS) du Québec (Québec National Institute for Excellence in Health and Social Services), Quebec City, Quebec, Canada
| | - Mamadou Diop
- Institut National d'Excellence en Santé et Services Sociaux (INESSS) du Québec (Québec National Institute for Excellence in Health and Social Services), Quebec City, Quebec, Canada
| | - Melanie R Tardif
- Institut National d'Excellence en Santé et Services Sociaux (INESSS) du Québec (Québec National Institute for Excellence in Health and Social Services), Quebec City, Quebec, Canada
| | - Alexis F Turgeon
- Population Health and Optimal Health Practices Research Unit (Trauma-Emergency-Critical Care Medicine), CHU de Québec-Université Laval Research Center, Quebec City, Quebec, Canada
- Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Université Laval, Quebec City, Quebec, Canada
| | - Jeannot Dumaresq
- Department of Microbiology-Infectiology and Immunology, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada
- Department of Microbiology and Infectious Diseases, Centre Intégré de Santé et de Services Sociaux de Chaudière-Appalaches, Lévis, Quebec, Canada
| | - Me-Linh Luong
- Division of Infectious Diseases, Department of Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada
| | - Michel Cauchon
- Department of Family Practice and Emergency, Université Laval, Quebec City, Quebec, Canada
| | - Hugo Chapdelaine
- Institut de Recherches Cliniques de Montréal, University of Montreal, Montreal, Quebec, Canada
- Department of Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), Centre de Recherches du CHUM, Montreal, Quebec, Canada
| | - David Claveau
- Departments of Emergency Medicine and Critical Care Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux de la Mauricie-et-du-Centre-du-Québec, Centre Hospitalier Affilié Universitaire Régional, Trois-Rivières, Quebec, Canada
| | - Marc Brosseau
- Department of Medicine, Pulmonary and Critical Care Medicine Divisions, Hôpital Maisonneuve-Rosemont, Centre Intégré Universitaire de Santé et de Services Sociaux de l'Est-de-l'Île-de-Montréal, Montreal, Quebec, Canada
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Elie Haddad
- Department of Pediatrics, University of Montreal, CHU Sainte-Justine, Montreal, Quebec, Canada
| | - Mike Benigeri
- Institut National d'Excellence en Santé et Services Sociaux (INESSS) du Québec (Québec National Institute for Excellence in Health and Social Services), Quebec City, Quebec, Canada
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