A randomised pragmatic trial of corticosteroid optimization in severe asthma using a composite biomarker algorithm to adjust corticosteroid dose versus standard care: study protocol for a randomised trial

Hanratty, Catherine E. and Matthews, John G. and Arron, Joseph R. and Choy, David F. and Pavord, Ian D. and Bradding, P. and Brightling, Christopher E. and Chaudhuri, Rekha and Cowan, Douglas C. and Djukanovic, Ratko and Gallagher, Nicola and Fowler, Stephen J. and Hardman, Tim C. and Harrison, Tim and Holweg, Cécile T. and Howarth, Peter H. and Lordan, James and Mansur, Adel H. and Menzies-Gow, Andrew and Mosesova, Sofia and Niven, Robert M. and Robinson, Douglas S. and Shaw, Dominick E. and Walker, Samantha and Woodcock, Ashley and Heaney, Liam G. (2018) A randomised pragmatic trial of corticosteroid optimization in severe asthma using a composite biomarker algorithm to adjust corticosteroid dose versus standard care: study protocol for a randomised trial. Trials, 19 . p. 5. ISSN 1745-6215

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (655kB) | Preview

Abstract

Background: Patients with difficult-to-control asthma consume 50–60% of healthcare costs attributed to asthma and cost approximately five-times more than patients with mild stable disease. Recent evidence demonstrates that not all patients with asthma have a typical type 2 (T2)-driven eosinophilic inflammation. These asthmatics have been called ‘T2-low asthma’ and have a minimal response to corticosteroid therapy. Adjustment of corticosteroid treatment using sputum eosinophil counts from induced sputum has demonstrated reduced severe exacerbation rates and optimized corticosteroid dose. However, it has been challenging to move induced sputum into the clinical setting. There is therefore a need to examine novel algorithms to target appropriate levels of corticosteroid treatment in difficult asthma, particularly in T2-low asthmatics. This study examines whether a composite non-invasive biomarker algorithm predicts exacerbation risk in patients with asthma on high-dose inhaled corticosteroids (ICS) (± long-acting beta agonist) treatment, and evaluates the utility of this composite score to facilitate personalized biomarker-specific titration of corticosteroid therapy.

Methods/design: Patients recruited to this pragmatic, multi-centre, single-blinded randomised controlled trial are randomly allocated into either a biomarker controlled treatment advisory algorithm or usual care group in a ratio of 4:1. The primary outcome measure is the proportion of patients with any reduction in ICS or oral corticosteroid dose from baseline to week 48. Secondary outcomes include the rate of protocol-defined severe exacerbations per patient per year, time to first severe exacerbation from randomisation, dose of inhaled steroid at the end of the study, cumulative dose of inhaled corticosteroid during the study, proportion of patients on oral corticosteroids at the end of the study, proportion of patients who decline to progress to oral corticosteroids despite composite biomarker score of 2, frequency of hospital admission for asthma, change in the 7-item Asthma Control Questionnaire (ACQ-7), Asthma Quality of Life Questionnaire (AQLQ), forced expiratory volume in 1 s (FEV1), exhaled nitric oxide, blood eosinophil count, and periostin levels from baseline to week 48. Blood will also be taken for whole blood gene expression; serum, plasma, and urine will be stored for validation of additional biomarkers.

Discussion: Multi-centre trials present numerous logistical issues that have been addressed to ensure minimal bias and robustness of study conduct.

Trial registration: ClinicalTrials.gov, NCT02717689. Registered on 16 March 2016.

Item Type: Article
Keywords: Asthma, Biomarkers, Corticosteroids, Steroid titration, T2-low, Personalized medicine
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Respiratory Medicine
Identification Number: https://doi.org/10.1186/s13063-017-2384-7
Depositing User: Eprints, Support
Date Deposited: 17 May 2018 08:56
Last Modified: 18 May 2018 20:09
URI: http://eprints.nottingham.ac.uk/id/eprint/51850

Actions (Archive Staff Only)

Edit View Edit View