Literature DB >> 31712191

Predicting the Response to Bronchial Thermoplasty.

David Langton1, Wei Wang2, Joy Sha3, Alvin Ing4, David Fielding5, Nicole Hersch4, Virginia Plummer6, Francis Thien7.   

Abstract

BACKGROUND: Although it is established that not all patients respond to bronchial thermoplasty (BT), the factors that predict response/nonresponse are largely unknown.
OBJECTIVES: To identify baseline factors that predict clinical response.
METHODS: The records of 77 consecutive patients entered into the Australian Bronchial Thermoplasty Registry were examined for baseline clinical characteristics, and outcomes measured at 6 and 12 months after BT, such as change in the Asthma Control Questionnaire (ACQ) score, exacerbation frequency, the requirement for short-acting beta-2 agonist (SABA) medication and oral corticosteroids, and improvement in spirometry.
RESULTS: This was a cohort of patients with severe asthma: aged 57.7 ± 11.4 years, 57.1% females, 53.2% of patients taking maintenance oral steroids, 43% having been treated with an mAb, mean FEV1 of 55.8% ± 19.8% predicted.
RESULTS: BT resulted in an improvement in the ACQ score from 3.2 ± 1.0 at baseline to 1.6 ± 1.1 at 6 months (P < .001). Exacerbation frequency in the previous 6 months reduced from 3.7 ± 3.3 to 0.7 ± 1.2 (P < .001). SABA requirement reduced from 9.3 ± 7.1 puffs/d to 3.5 ± 6.0 (P < .001), and 48.8% of patients were weaned completely off oral steroids. A significant improvement in FEV1 was observed. Using multiple linear regression models, baseline ACQ score strongly predicted improvement in ACQ score (P < .001). Patients with an exacerbation frequency greater than twice in the previous 6 months showed the greatest reduction in exacerbations (-5.3 ± 2.8; P < .001). Patients using more than 10 puffs/d of SABA experienced the greatest reduction in SABA requirement (-12.4 ± 10.5 puffs, P < .001).
CONCLUSIONS: The most severely afflicted patients had the greatest improvements in ACQ score, exacerbation frequency, and medication requirement.
Copyright © 2019 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Asthma; Bronchial thermoplasty; Predictive factors

Mesh:

Substances:

Year:  2019        PMID: 31712191     DOI: 10.1016/j.jaip.2019.10.034

Source DB:  PubMed          Journal:  J Allergy Clin Immunol Pract


  5 in total

1.  Visualization and Validation of The Microstructures in The Airway Wall in vivo Using Diffractive Optical Coherence Tomography.

Authors:  Jeffrey Thiboutot; Wu Yuan; Hyeon-Cheol Park; Dawei Li; Jeffrey Loube; Wayne Mitzner; Lonny Yarmus; Xingde Li; Robert H Brown
Journal:  Acad Radiol       Date:  2022-03-10       Impact factor: 5.482

2.  Bronchial thermoplasty in severe asthma: a real-world study on efficacy and gene profiling.

Authors:  Nicola Facciolongo; Martina Bonacini; Carla Galeone; Patrizia Ruggiero; Francesco Menzella; Giulia Ghidoni; Roberto Piro; Chiara Scelfo; Chiara Catellani; Alessandro Zerbini; Stefania Croci
Journal:  Allergy Asthma Clin Immunol       Date:  2022-05-09       Impact factor: 3.373

3.  The effect of bronchial thermoplasty on airway volume measured 12 months post-procedure.

Authors:  David Langton; Ceri Banks; Peter B Noble; Virginia Plummer; Francis Thien; Graham M Donovan
Journal:  ERJ Open Res       Date:  2020-11-02

4.  Correlation of Activation Site and Number with the Clinical Response to Bronchial Thermoplasty.

Authors:  Tao Wang; Fa Long; Zhihui Huang; Liang Long; Wenting Huang; Siyu Hu; Fengbo Hu; Peng Fu; Jingfan Gan; Hongbo Dong; Guomei Yan
Journal:  J Asthma Allergy       Date:  2022-04-07

5.  Learning curve for bronchial thermoplasty.

Authors:  Daniel Niewodowski; David Langton
Journal:  Respirology       Date:  2022-03-16       Impact factor: 6.175

  5 in total

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