Severe Persistent Asthma Clinical Trial
Official title:
A Randomised Pragmatic Trial Of Corticosteroid Optimisation In Severe Asthma Using A Composite Biomarker Algorithm To Adjust Corticosteroid Dose Versus Standard Care
This study explores if a composite biomarker strategy predicts exacerbation risk in patients with asthma on high dose inhaled corticosteroid (+/-long-acting beta agonist) treatment and to evaluate the utility of this composite score to facilitate personalised biomarker specific titration of corticosteroid therapy in this population.
Asthma affects an estimated 300 million people worldwide with a population prevalence of ca
15% in the UK. The WHO has estimated UK disability adjusted life-years per 100,000 population
for asthma to be greater than diabetes and breast cancer. Much of this excessive disability
is in the 10-20% of patients with asthma which is difficult to control despite currently
available therapies. This high morbidity and disproportionate use of health care resources
reflects the considerable unmet need in this patient group, and their significance for health
care providers.
Asthma has been traditionally 'stratified' on the basis of response to 'step-wise'
incremental treatment with inhaled corticosteroid (ICS) therapy forming the cornerstone of
this approach. However, more recently, asthma has been stratified on the basis of
inflammatory phenotype to better understand disease heterogeneity with a view to developing
biomarkers of therapeutic response and for the better targeting of both new and existing
treatments.
Investigators have recently examined the predictive value of a composite biomarker strategy
using FeNO, blood eosinophils and serum periostin together to predict exacerbation risk in
the placebo arms of clinical trials. Investigators propose to examine if this composite
biomarker strategy predicts exacerbation risk in patients with asthma on high dose ICS
(+/-long-acting beta agonist) treatment and to evaluate the utility of this composite score
to facilitate personalised biomarker specific titration of corticosteroid therapy in this
population. This study will examine subjects with FeNO<45 ppb and the scoring system will
potentially allow identification of a 'low-risk' group who can safely reduce corticosteroid
dose. This study will address a second important question of estimating the proportion of
patients with severe disease who develop typical (T2)-driven eosinophilic inflammation on
progressive corticosteroid withdrawal.
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