AGILE-ACCORD: A Randomized, Multicentre, Seamless, Adaptive Phase I/II Platform Study to Determine the Optimal Dose, Safety and Efficacy of Multiple Candidate Agents for the Treatment of COVID-19: A structured summary of a study protocol for a randomised platform trial.


Journal

Trials
ISSN: 1745-6215
Titre abrégé: Trials
Pays: England
ID NLM: 101263253

Informations de publication

Date de publication:
19 Jun 2020
Historique:
received: 27 05 2020
accepted: 30 05 2020
entrez: 21 6 2020
pubmed: 21 6 2020
medline: 8 7 2020
Statut: epublish

Résumé

Phase I - To determine the optimal dose of each candidate (or combination of candidates) entered into the platform. Phase II - To determine the efficacy and safety of each candidate entered into the platform, compared to the current Standard of Care (SoC), and recommend whether it should be evaluated further in a later phase II & III platforms. AGILE-ACCORD is a Bayesian multicentre, multi-arm, multi-dose, multi-stage open-label, adaptive, seamless phase I/II randomised platform trial to determine the optimal dose, activity and safety of multiple candidate agents for the treatment of COVID-19. Designed as a master protocol with each candidate being evaluated within its own sub-protocol (Candidate Specific Trial (CST) protocol), randomising between candidate and SoC with 2:1 allocation in favour of the candidate (N.B the first candidate has gone through regulatory approval and is expected to open to recruitment early summer 2020). Each dose will be assessed for safety sequentially in cohorts of 6 patients. Once a phase II dose has been identified we will assess efficacy by seamlessly expanding into a larger cohort. Patient populations can vary between CSTs, but the main eligibility criteria include adult patients (≥18 years) who have laboratory-confirmed infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We will include both severe and mild-moderate patients defined as follows: Group A (severe disease) - patients with WHO Working Group on the Clinical Characteristics of COVID-19 infection 9-point ordinal scale of Grades 4 (hospitalised, oxygen by mask or nasal prongs), 5 (hospitalised, non-invasive ventilation or high flow oxygen), 6 (hospitalised, intubation and mechanical ventilation) or 7 (hospitalised, ventilation and additional organ support); Group B (mild-moderate disease) - ambulant or hospitalised patients with peripheral capillary oxygen saturation (SpO Comparator is the current standard of care (SoC), in some CSTs plus placebo. Candidates that prevent uncontrolled cytokine release, prevention of viral replication, and other anti-viral treatment strategies are at various stages of development for inclusion into AGILE-ACCORD. Other CSTs will be added over time. There is not a set limit on the number of CSTs we can include within the AGILE-ACCORD Master protocol and we will upload each CST into this publication as each opens to recruitment. Phase I: Dose limiting toxicities using Common Terminology Criteria for Adverse Events v5 Grade ≥3 adverse events. Phase II: Agreed on a CST basis depending on mechanism of action of the candidate and patient population. But may include; time to clinical improvement of at least 2 points on the WHO 9-point category ordinal scale [measured up to 29 days from randomisation], progression of disease (oxygen saturation (SaO Varies with CST, but default is 2:1 allocation in favour of the candidate to maximise early safety data. For the safety phase open-label although for some CSTs may include placebo or SoC for the efficacy phase. Varies between CSTs. However simulations have shown that around 16 participants are necessary to determine futility or promise of a candidate at a given dose (in efficacy evaluation alone) and between 32 and 40 participants are required across the dose-finding and efficacy evaluation when capping the maximum number of participants contributing to the evaluation of a treatment at 40. Master protocol version number v5 07 May 2020, trial is in setup with full regulatory approval and utilises several digital technology solutions, including Medidata's Rave EDC [electronic data capture], RTSM for randomisation and patient eConsent on iPads via Rave Patient Cloud. The recruitment dates will vary between CSTs but at the time of writing no CSTs are yet open for recruitment. EudraCT 2020-001860-27 14

Identifiants

pubmed: 32560744
doi: 10.1186/s13063-020-04473-1
pii: 10.1186/s13063-020-04473-1
pmc: PMC7303573
doi:

Substances chimiques

Antiviral Agents 0

Types de publication

Clinical Trial Protocol Clinical Trial, Phase I Clinical Trial, Phase II Letter Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

544

Subventions

Organisme : Cancer Research UK
ID : C1522/A25352
Pays : United Kingdom
Organisme : UK National Institute for Health Research
ID : Southampton CTU

Auteurs

Gareth Griffiths (G)

University of Southampton, Southampton, Hampshire, UK. G.O.Griffiths@soton.ac.uk.

Richard Fitzgerald (R)

Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.

Thomas Jaki (T)

Lancaster University and University of Cambridge, Lancaster, Lancashire, UK.

Andrea Corkhill (A)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Ellice Marwood (E)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Helen Reynolds (H)

University of Liverpool, Liverpool, UK.

Louise Stanton (L)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Sean Ewings (S)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Susannah Condie (S)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Emma Wrixon (E)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Andrea Norton (A)

Medidata Solutions, London, UK.

Mike Radford (M)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Sara Yeats (S)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Jane Robertson (J)

Southampton CTU, University of Southampton, Southampton, Hampshire, UK.

Rachel Darby-Dowman (R)

Cancer Research UK Centre for Drug Development, London, UK.

Lauren Walker (L)

University of Liverpool, Liverpool, UK.

Saye Khoo (S)

University of Liverpool, Liverpool, UK.

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Classifications MeSH