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Enregistrement W4406954360 · doi:10.1093/ofid/ofae631.003

166. A Phase 2b/3 Study to Evaluate the Efficacy and Safety of an Investigational Respiratory Syncytial Virus (RSV) Antibody, Clesrovimab, in Healthy Preterm and Full-Term Infants

2025· article· en· W4406954360 sur OpenAlexaff
Heather J. Zar, Eric A. F. Simões, Sabhir Madhi, Octavio Ramilo, Shelly Senders, Julie S. Shepard, Kamolwish Laoprasopwattana, Jorge A. Piedrahita, Jose M Novoa Pizarro, Sergio L. Vargas, Marc Dionne, Teresa Jackowska, Enmei Liu, Yasunori Ishihara, Kazushige Ikeda, Ying Zhang, Radha Railkar, Jeannine Lutkiewicz, Andrew W. Lee, Andrea Guerra, Anushua Sinha

Notice bibliographique

RevueOpen Forum Infectious Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueRespiratory viral infections research
Établissements canadiensUniversité Laval
Organismes subventionnairesnon disponible
Mots-clésMedicineRespiratory systemVirologyAntibodyFull TermPediatricsImmunologyInternal medicinePregnancy

Résumé

récupéré en direct d'OpenAlex

Abstract Background Clesrovimab is an investigational, long-acting monoclonal antibody (mAb) targeting site IV of the fusion protein for the prevention of RSV lower respiratory tract infection in infants. Methods This phase 2b/3 double-blind, randomized, placebo-controlled pivotal study enrolled healthy preterm and full-term infants birth to 1 year of age entering their first RSV season. Participants (pts) were randomized 2:1 to receive clesrovimab (105 mg IM) or placebo on day 1. Safety and tolerability were a primary endpoint. There were two hypothesis-tested endpoints: the efficacy of clesrovimab against RSV-associated medically attended lower respiratory tract infection (MALRI) through day 150 (primary) and against RSV-associated hospitalization through day 150 (secondary). The MALRI definition required ≥1 indicators of lower respiratory tract infection (LRI) or severity. To facilitate comparison across RSV mAb trials, a definition of RSV-associated MALRI that required ≥2 indicators of LRI/severity (≥1 indicator of LRI and ≥1 indicator of severity) was assessed post hoc. Results There were 3,632 pts randomized across 22 countries; >99% received study intervention. RSV-associated efficacy endpoints through day 150 and day 180 are shown in Table 1. Clesrovimab reduced the incidence of RSV-associated MALRI requiring ≥1 indicator of LRI/severity (60.4% [95% CI: 44.1, 71.9], p< 0.001) and ≥2 indicators of LRI/severity (88.0% [95% CI:76.1, 94.0]), RSV hospitalization (84.2% [95% CI: 66.6, 92.6], p< 0.001), and severe MALRI (91.7% [95% CI:62.9, 98.1]) through day 150 postdose compared to placebo. Efficacy increased with increasing RSV-associated disease severity and was similar from days 1-180 compared to days 1-150 across endpoints. The proportions of pts with adverse events (AEs), including injection-site and systemic AEs, drug-related AEs, and serious AEs were comparable between the clesrovimab and placebo groups (Table 2). There were no treatment-related deaths or deaths attributed to RSV disease. Conclusion A single dose of clesrovimab given before or during the first RSV season was efficacious in reducing RSV-associated MALRI and RSV-associated hospitalization in healthy preterm and full-term infants and was generally well tolerated with a safety profile comparable to placebo. Disclosures Heather J. Zar, PhD, MSD, Pfizer, AstraZeneca, Moderna (DSMB): Advisor/Consultant|MSD, Pfizer, AstraZeneca, Moderna (DSMB): Grant/Research Support|MSD, Pfizer, AstraZeneca, Moderna (DSMB): Honoraria|MSD, Pfizer, AstraZeneca, Moderna (DSMB): MSD Principal Investigator for the study and on MSD Advisory Board Eric Simoes, MD DCH, Pfizer, Sanofi, Merck, Icosavax, Enanta Cidara, Adiagio, Nuance, Shionogi, GIlead,: Advisor/Consultant|Pfizer, Sanofi, Merck, Icosavax, Enanta Cidara, Adiagio, Nuance, Shionogi, GIlead,: Grant/Research Support|Pfizer, Sanofi, Merck, Icosavax, Enanta Cidara, Adiagio, Nuance, Shionogi, GIlead,: Honoraria|Pfizer, Sanofi, Merck, Icosavax, Enanta Cidara, Adiagio, Nuance, Shionogi, GIlead,: MSD - PI for this study; DSMB Abbvie, Moderna, GSK Sabhir Madhi, MD, Pfizer, GSK, Medimmune, Merck & Co., Inc., Rahway, NJ, USA: Grant/Research Support|Pfizer, GSK, Medimmune, Merck & Co., Inc., Rahway, NJ, USA: Honoraria Octavio Ramilo, MD, Pfizer, Sanofi, Gates Foundation, NIH, and Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): Advisor/Consultant|Pfizer, Sanofi, Gates Foundation, NIH, and Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): Grant/Research Support|Pfizer, Sanofi, Gates Foundation, NIH, and Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): Honoraria|Pfizer, Sanofi, Gates Foundation, NIH, and Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): SAC member for MSD Shelly Senders, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Principal Investigator Julie S. Shepard, MD, MPH, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Principal Investigator Kamolwish Laoprasopwattana, MD, Merck & Co., Inc., Rahway, NJ, USA: Grant/Research Support|Merck & Co., Inc., Rahway, NJ, USA: MSD - PI for this study Jorge Piedrahita, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Principal Investigator Jose M. Novoa Pizarro, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): Principal Investigator for the study for MSD Sergio L. Vargas, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Principal Investigator Marc Dionne, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Principal Investigator Teresa Jackowska, MD, MSD Poland, Merck & Co., Inc, Rahway, NJ, USA: Advisor/Consultant|MSD Poland, Merck & Co., Inc, Rahway, NJ, USA: Grant/Research Support|MSD Poland, Merck & Co., Inc, Rahway, NJ, USA: Honoraria|MSD Poland, Merck & Co., Inc, Rahway, NJ, USA: MSD - PI for this study Enmei Liu, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Principal Investigator Yasunori Ishihara, MD, PhD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Principal Investigator Kazushige Ikeda, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Principal Investigator Ying Zhang, PhD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Employee|Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Stocks/Bonds (Public Company) Radha A. Railkar, PhD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, US (MSD): Employee|Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, US (MSD): Stocks/Bonds (Public Company) Jeannine Lutkiewicz, BS, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Employee|Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Stocks/Bonds (Public Company) Andrew W. Lee, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): Employee at the time of study|Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): Stocks/Bonds (Public Company) Andrea Guerra, MD, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Employee|Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA: Stocks/Bonds (Public Company) Anushua Sinha, MD, MPH, Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): Employee|Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA (MSD): Stocks/Bonds (Public Company)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,869

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,042
Tête enseignante GPT0,447
Écart entre enseignants0,405 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations18
Publié2025
Routes d'admission1
Résumé présentoui

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