Literature DB >> 34112734

Patient characteristics, biomarkers and exacerbation risk in severe, uncontrolled asthma.

Monica Kraft1, Guy Brusselle2, J Mark FitzGerald3, Ian D Pavord4, Matthew Keith5, Malin Fagerås6, Esther Garcia Gil7, Ian Hirsch8, Mitchell Goldman5, Gene Colice5.   

Abstract

BACKGROUND: Greater precision in asthma exacerbation risk prediction may improve outcomes. We sought to identify clinical characteristics and biomarkers associated with elevated exacerbation risk in patients with severe, uncontrolled asthma.
METHODS: Data were pooled from seven similarly designed phase II and III randomised controlled clinical trials of biologic therapies for the treatment of severe, uncontrolled asthma that enrolled comparable patient populations. Annualised asthma exacerbation rates (AAERs) for patients randomised to placebo were assessed by baseline clinical characteristics, and by biomarker concentrations at baseline and over the study duration.
RESULTS: The AAER for the 2016 patients in the combined placebo group was 0.91 (95% CI 0.84‒0.98). Baseline characteristics associated with greater AAER were frequent or severe exacerbations within the prior 12 months, nasal polyposis, maintenance oral corticosteroid use, Asian race and Asian or Western European region. AAER increased with baseline blood eosinophil counts and exhaled nitric oxide fraction (F ENO) concentration, with the greatest AAER occurring for patients with eosinophils ≥300 cells·μL-1 and F ENO ≥50 ppb. No relationship was observed between baseline serum IgE concentration and AAER. Combining type 2 inflammation criteria for eosinophils and F ENO had greater prognostic value than either biomarker alone. Persistent eosinophil and F ENO elevations throughout the study period were associated with greater AAER.
CONCLUSIONS: Exacerbation history, maintenance corticosteroid use, nasal polyposis, Asian race, geographic region, and elevations in blood eosinophil counts and F ENO concentrations (particularly when combined and/or persistently achieving type 2 inflammation criteria) were associated with increased exacerbation risk in patients with severe, uncontrolled asthma.
Copyright ©The authors 2021. For reproduction rights and permissions contact permissions@ersnet.org.

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Year:  2021        PMID: 34112734     DOI: 10.1183/13993003.00413-2021

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  5 in total

1.  Predicting the benefits of type-2 targeted anti-inflammatory treatment with the prototype Oxford Asthma Attack Risk Scale (ORACLE).

Authors:  Simon Couillard; William Il Hoon Do; Richard Beasley; Timothy S C Hinks; Ian D Pavord
Journal:  ERJ Open Res       Date:  2021-02-07

2.  Blood eosinophils, fractional exhaled nitric oxide and the risk of asthma attacks in randomised controlled trials: protocol for a systemic review and control arm patient-level meta-analysis for clinical prediction modelling.

Authors:  Simon Couillard; Ewout Steyerberg; Richard Beasley; Ian Pavord
Journal:  BMJ Open       Date:  2022-04-01       Impact factor: 2.692

3.  Treatment Resistance in Severe Asthma Patients With a Combination of High Fraction of Exhaled Nitric Oxide and Low Blood Eosinophil Counts.

Authors:  Yuki Hoshino; Tomoyuki Soma; Yoshitaka Uchida; Yuki Shiko; Kazuyuki Nakagome; Makoto Nagata
Journal:  Front Pharmacol       Date:  2022-04-20       Impact factor: 5.988

4.  Sub-stratification of type-2 high airway disease for therapeutic decision-making: A 'bomb' (blood eosinophils) meets 'magnet' (FeNO) framework.

Authors:  Simon Couillard; Ian D Pavord; Liam G Heaney; Nayia Petousi; Timothy S C Hinks
Journal:  Respirology       Date:  2022-05-19       Impact factor: 6.175

5.  Derivation of a prototype asthma attack risk scale centred on blood eosinophils and exhaled nitric oxide.

Authors:  Simon Couillard; Annette Laugerud; Maisha Jabeen; Sanjay Ramakrishnan; James Melhorn; Timothy Hinks; Ian Pavord
Journal:  Thorax       Date:  2021-08-06       Impact factor: 9.139

  5 in total

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