S'abonner

COPDCompEx: A novel composite endpoint for COPD exacerbations to enable faster clinical development - 12/11/20

Doi : 10.1016/j.rmed.2020.106175 
Claus F. Vogelmeier a, Anne Fuhlbrigge b, Alexandra Jauhiainen c, Lieke E.J.M. Scheepers c, Thomas Bengtsson d, Stefan Peterson d, Niklas Karlsson e, Tariq Sethi f, g, Nicholas Locantore h, Ruth Tal-Singer h, Stephen Rennard i, Malin Fagerås e, Carla A. Da Silva j,
a Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps–Universität Marburg, Marburg, Germany, Member of the German Center for Lung Research (DZL) 
b Pulmonary Sciences and Critical Care, Department of Medicine, University of Colorado School of Medicine, Denver, CO, USA 
c AstraZeneca, BioPharma Early Biometrics and Statistical Innovation, Data Science & AI, BioPharmaceuticals R&D, Gothenburg, Sweden 
d StatMind Statistical and Mathematical Modelling, Innovation and Design AB, Lund, Sweden 
e AstraZeneca, BioPharmaceuticals Medical, Gothenburg, Sweden 
f Emeritus Professor Respiratory Medicine, Kings College, London, UK 
g Galecto Biotech, London, UK 
h GlaxoSmithKline R&D, Medical Innovation Value Evidence and Outcomes, Collegeville, PA, USA 
i AstraZeneca, BioPharmaceuticals R&D, Cambridge, UK 
j AstraZeneca, Early Respiratory & Immunology (R&I) Clinical Development, BioPharmaceuticals R&D, Gothenburg, Sweden 

Corresponding author. AstraZeneca, Early Respiratory & Immunology (R&I) Clinical Development, BioPharmaceuticals R&D, Pepparedsleden 1, 43153, Mölndal, Sweden.AstraZenecaEarly Respiratory & Immunology (R&I) Clinical DevelopmentBioPharmaceuticals R&DPepparedsleden 1Mölndal43153Sweden

Abstract

Background

Frequency of moderate and severe chronic obstructive pulmonary disease exacerbations is an important endpoint in clinical trials, but makes them large and lengthy when powered to evaluate it. We aimed to develop a composite endpoint (COPDCompEx) that could predict treatment effect on exacerbations, enabling the design of shorter early phase clinical trials requiring fewer patients.

Methods

In this post hoc analysis, data from 20 randomized controlled trials were used to develop and test COPDCompEx. Diary events were tested against predefined threshold values for peak expiratory flow, reliever medication use, and symptoms. A COPDCompEx event was defined as first occurrence of a diary event, a moderate or severe exacerbation, or a study dropout. Ratios of event frequency, treatment effect and future trial sample size were compared between COPDCompEx and moderate and severe exacerbations.

Findings

At 3 months, the proportion of patients experiencing COPDCompEx events increased over 3-fold versus exacerbations alone. All components contributed to COPDCompEx event rate. Treatment effects at 3 months were closely matched between COPDCompEx and exacerbations, and the large net gain in power substantially reduced the required sample size.

Interpretation

COPDCompEx may be used to predict treatment effect on moderate and severe exacerbations of chronic obstructive pulmonary disease. This may enable the design of shorter Phase 2 clinical trials requiring fewer patients when compared with current exacerbation studies, with exacerbations as a key Phase 3 endpoint. This would, therefore, allow more efficient decision-making with reduced burden and risk to study participants.

Le texte complet de cet article est disponible en PDF.

Highlights

COPDCompEx is a novel endpoint to measure treatment effects on COPD exacerbations.
COPDCompEx 3-month treatment effect reflected that on exacerbations at 6–12 months.
All components contributed to the COPDCompEx event rate.
The enhanced power of COPDCompEx may facilitate shorter and smaller clinical trials.
The value of including peak flow suggests its utility as an assessment tool in COPD.

Le texte complet de cet article est disponible en PDF.

Keywords : Clinical trial endpoints, Drug development, Exacerbations, Treatment effect


Plan


© 2020  Elsevier Ltd. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 173

Article 106175- novembre 2020 Retour au numéro
Article précédent Article précédent
  • Non-invasive ventilation improves exercise tolerance and peripheral vascular function after high-intensity exercise in COPD-HF patients
  • Cássia da Luz Goulart, Flávia Rossi Caruso, Adriana S. Garcia de Araújo, Guilherme Peixoto Tinoco Arêas, Sílvia Cristina Garcia de Moura, Aparecida Maria Catai, Renata Gonçalves Mendes, Shane A. Phillips, Ross Arena, Andréa Lúcia Gonçalves da Silva, Audrey Borghi-Silva
| Article suivant Article suivant
  • Are there differences in muscular activation to maintain balance between individuals with chronic obstructive pulmonary disease and controls?
  • Larissa Araújo de Castro, Andrea Akemi Morita, Walter Sepúlveda-Loyola, Rubens Alexandre da Silva, Fabio Pitta, Eddy Krueger, Vanessa Suziane Probst

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.