Mahboobeh Haji Sadeghi
Phenotyping patients with chronic cough: Evaluating the ability to predict the response to anti-inflammatory therapy
Sadeghi, Mahboobeh Haji; Wright, Caroline E.; Hart, Simon; Crooks, Michael; Morice, Alyn
Authors
Caroline E. Wright
Professor Simon Hart S.Hart@hull.ac.uk
Professor in Respiratory Medicine
Prof Michael Crooks m.g.crooks@hull.ac.uk
Professor of Respiratory Medicine
Professor Alyn Morice A.H.Morice@hull.ac.uk
Foundation Chair and Professor of Respiratory Medicine
Abstract
© 2017 Background: Whether the fraction of exhaled nitric oxide (FeNO) measurement can predict the response to anti-inflammatory treatment in chronic cough is unknown. Objective: To explore whether the effectiveness of treatment with 10 mg of montelukast or 20 mg of prednisolone in patients with chronic cough is predicted by FeNO level. Methods: In this randomized, open-label, controlled pilot study conducted in the Clinical Trial Unit in Castle Hospital in the United Kingdom, 50 nonsmoking patients with a cough that lasted more than 8 weeks were sequentially enrolled in the study. Thirty patients with high FeNO levels (≥30 ppb) were randomized in a 1:1 ratio to receive 10 mg of montelukast or 20 mg of prednisolone for 2 weeks followed by 10 mg of montelukast for 2 weeks. Twenty patients with a low FeNO level (≤20 ppb) received 10 mg of montelukast. The primary objective was to determine the effectiveness of treatment on 24-hour cough counts. Results: The 24-hour cough counts decreased in both groups by approximately 50% (P
Citation
Sadeghi, M. H., Wright, C. E., Hart, S., Crooks, M., & Morice, A. (2018). Phenotyping patients with chronic cough: Evaluating the ability to predict the response to anti-inflammatory therapy. Annals of Allergy, Asthma and Immunology, 120(3), 285-291. https://doi.org/10.1016/j.anai.2017.12.004
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 11, 2017 |
Online Publication Date | Mar 1, 2018 |
Publication Date | 2018-03 |
Deposit Date | May 10, 2022 |
Journal | Annals of Allergy, Asthma and Immunology |
Print ISSN | 1081-1206 |
Electronic ISSN | 1534-4436 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 120 |
Issue | 3 |
Pages | 285-291 |
DOI | https://doi.org/10.1016/j.anai.2017.12.004 |
Public URL | https://hull-repository.worktribe.com/output/3565502 |
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