Pooled analysis of the MANTICO2 and MONET randomized controlled trials comparing drug efficacy for early treatment of COVID-19 during Omicron waves.

COVID-19 Sars-CoV2 antivirals clinical trial frail subjects monoclonal antibody pooled analyses

Journal

The Journal of infection
ISSN: 1532-2742
Titre abrégé: J Infect
Pays: England
ID NLM: 7908424

Informations de publication

Date de publication:
27 Sep 2024
Historique:
received: 08 08 2024
accepted: 23 09 2024
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 29 9 2024
Statut: aheadofprint

Résumé

The clinical effectiveness of early therapies for mild-to-moderate COVID-19, comparing antivirals and monoclonal antibodies (mAbs) during the Omicron era, has not been conclusively assessed through a post-approval comparative trial. We present a pooled analysis of two randomized clinical trials conducted during Omicron waves. Methods The MANTICO2/MONET trial is a pooled analysis of two multicentric, independent, phase-4, three-arm, superiority, randomized, open-label trials. Nonhospitalized patients with early mild-to-moderate COVID-19 (≤5 days after symptoms' onset) and at least one risk factor for disease progression were randomized 1:1:1 to receive 500mg of intravenous sotrovimab (SOT) or 600mg of intramuscular tixagevimab/cilgavimab (TGM/CGM) or oral 5-days course of nirmatrelvir/ritonavir (NMV/r) 300/100mg BID. Primary outcome was COVID-19-related hospitalization or death within 29 days after randomization. Fisher's exact test for pooled data and incidence of failure was reported as overall and by arm with respective 95% CI. Pairwise comparisons across the arms were conducted using unadjusted exact logistic regression. An analysis by means of a doubly robust marginal model using augmented inverse probability weighting (AIPW) was also conducted to estimate the potential outcomes (Pom) in each treatment group and their difference by the average treatment effect (ATE). Analysis of symptom persistence within 30 days after randomization was performed using a 2-level hierarchical mixed-effects logistic model with a random intercept at the patient's level. Point estimates and 95% confidence intervals were adjusted for age and sex and calculated using ANOVA-like methods for the mixedeffects logistic model. These trials are registred with the European Clinical Trials Database, EudraCT2021-002612-31 (MANTICO2) and EudraCT2021-004188-28 (MONET) and ClinicalTrials.gov, NCT05321394 (MANTICO2) Findings Between March 2022 and February 2023, 991 patients (SOT=332, TGM/CGM =327, NMV/r=332) were enrolled in 15 Italian centersThe overall mean age was 66 years; 482 participants (48.80%) were male and 856 vaccinated with at least a primary course ( 86%). Among the 8/991 hospitalizations observed, one resulted in death. The overall estimate of failure was 0.81% (95%CI; 0.35-1.58%). The odds ratio (OR) for the primary outcome in the NMV/r arm compared to the TGM/CGM and SOT arms was 8.41 (95% CI 1.21 to infinity; p=0.015) and 2.42 (95% CI 0.19 to infinity; p=0.499), respectively. No significant difference was observed between SOT and TGM/CGM (OR 0.32; 95% CI 0.032-1.83; p=0.174). Results were similar when we applied the marginal weighted model accounting for potential residual confounding bias. There was no evidence for a difference in the prevalence of symptoms between treatment groups, except for cough, which was higher in the SOT group compared to the other two groups at the 21-day follow-up (P=0.039) and a higher prevalence of nausea at the 7-day follow-up in the NMV/r group compared to the mAbs group (p=0.036). Interpretation NMV/r was superior to TGM/CGM in reducing hospital admission or death in clinical vulnerable patients with SARS-CoV-2 infection treated within 5 days of symptoms' onset. No significant difference in symptom prevalence over time across the arms was found. The trials were funded by the Italian Agency of Drugs (AIFA) in 2021.

Sections du résumé

BACKGROUND BACKGROUND
The clinical effectiveness of early therapies for mild-to-moderate COVID-19, comparing antivirals and monoclonal antibodies (mAbs) during the Omicron era, has not been conclusively assessed through a post-approval comparative trial. We present a pooled analysis of two randomized clinical trials conducted during Omicron waves. Methods The MANTICO2/MONET trial is a pooled analysis of two multicentric, independent, phase-4, three-arm, superiority, randomized, open-label trials. Nonhospitalized patients with early mild-to-moderate COVID-19 (≤5 days after symptoms' onset) and at least one risk factor for disease progression were randomized 1:1:1 to receive 500mg of intravenous sotrovimab (SOT) or 600mg of intramuscular tixagevimab/cilgavimab (TGM/CGM) or oral 5-days course of nirmatrelvir/ritonavir (NMV/r) 300/100mg BID. Primary outcome was COVID-19-related hospitalization or death within 29 days after randomization. Fisher's exact test for pooled data and incidence of failure was reported as overall and by arm with respective 95% CI. Pairwise comparisons across the arms were conducted using unadjusted exact logistic regression. An analysis by means of a doubly robust marginal model using augmented inverse probability weighting (AIPW) was also conducted to estimate the potential outcomes (Pom) in each treatment group and their difference by the average treatment effect (ATE). Analysis of symptom persistence within 30 days after randomization was performed using a 2-level hierarchical mixed-effects logistic model with a random intercept at the patient's level. Point estimates and 95% confidence intervals were adjusted for age and sex and calculated using ANOVA-like methods for the mixedeffects logistic model. These trials are registred with the European Clinical Trials Database, EudraCT2021-002612-31 (MANTICO2) and EudraCT2021-004188-28 (MONET) and ClinicalTrials.gov, NCT05321394 (MANTICO2) Findings Between March 2022 and February 2023, 991 patients (SOT=332, TGM/CGM =327, NMV/r=332) were enrolled in 15 Italian centersThe overall mean age was 66 years; 482 participants (48.80%) were male and 856 vaccinated with at least a primary course ( 86%). Among the 8/991 hospitalizations observed, one resulted in death. The overall estimate of failure was 0.81% (95%CI; 0.35-1.58%). The odds ratio (OR) for the primary outcome in the NMV/r arm compared to the TGM/CGM and SOT arms was 8.41 (95% CI 1.21 to infinity; p=0.015) and 2.42 (95% CI 0.19 to infinity; p=0.499), respectively. No significant difference was observed between SOT and TGM/CGM (OR 0.32; 95% CI 0.032-1.83; p=0.174). Results were similar when we applied the marginal weighted model accounting for potential residual confounding bias. There was no evidence for a difference in the prevalence of symptoms between treatment groups, except for cough, which was higher in the SOT group compared to the other two groups at the 21-day follow-up (P=0.039) and a higher prevalence of nausea at the 7-day follow-up in the NMV/r group compared to the mAbs group (p=0.036). Interpretation NMV/r was superior to TGM/CGM in reducing hospital admission or death in clinical vulnerable patients with SARS-CoV-2 infection treated within 5 days of symptoms' onset. No significant difference in symptom prevalence over time across the arms was found.
FUNDING BACKGROUND
The trials were funded by the Italian Agency of Drugs (AIFA) in 2021.

Identifiants

pubmed: 39343244
pii: S0163-4453(24)00228-7
doi: 10.1016/j.jinf.2024.106294
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT05321394']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106294

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Declaration of Interests We declare no competing interests.

Auteurs

Valentina Mazzotta (V)

Clinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy; PhD Course in Microbiology, Immunology, Infectious Diseases, and Transplants (MIMIT), University of Rome Tor Vergata, Rome, Italy.

Fulvia Mazzaferri (F)

Infectious Diseases Division, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Simone Lanini (S)

Infectious Diseases Division, Department of Medicine, University of Udine and Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.

Massimo Mirandola (M)

Infectious Diseases Division, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Alessandro Cozzi Lepri (AC)

Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, UCL, London, UK.

Alessandra Vergori (A)

Clinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.

Alessia Savoldi (A)

Infectious Diseases Division, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Andrea Santoro (A)

Department of Health Sciences, San Paolo University Hospital, Milan, Italy.

Gaia Maccarrone (G)

Infectious Diseases Division, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Ilaria Mastrorosa (I)

Clinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.

Omar Simonetti (O)

Infectious Diseases Division, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.

Federico De Zottis (F)

Clinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.

Emanuele Nicastri (E)

Clinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.

Giulia Rosini (G)

Infectious Diseases Division, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Laura Rovigo (L)

Infectious Diseases Division, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Lorenzo Tavernaro (L)

Infectious Diseases Division, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Loredana Sarmati (L)

Infectious Diseases Unit, Tor Vergata University Hospital, Rome, Italy.

Carlo Tascini (C)

Infectious Diseases Division, Department of Medicine, University of Udine and Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.

Enrico Girardi (E)

Scientific Direction, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.

Anna Maria Cattelan (AM)

Infectious Disease Unit, Padova University Hospital, Padua, Italy.

Andrea Antinori (A)

Clinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.

Evelina Tacconelli (E)

Infectious Diseases Division, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Classifications MeSH