Patient characteristics that can predict response to omalizumab an (Anti-IgE Antibody) for achieving better control of asthmatic patients

Background: Omalizumab is a monoclonal anti-immunoglobulin E (IgE) antibody indicated for the treatment of inadequately controlled severe persistent asthma despite optimal controller therapy. It is an expensive medication so there is a need to identify those patients most likely to benefit. Aim of t...

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Main Author: Nancy M. Abdelaty
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2012-07-01
Series:Egyptian Journal of Chest Disease and Tuberculosis
Subjects:
IgE
Online Access:http://www.sciencedirect.com/science/article/pii/S0422763812000167
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spelling doaj-db8111198fbb4bb0bb1feb0ee81f63dd2020-11-25T00:30:28ZengWolters Kluwer Medknow PublicationsEgyptian Journal of Chest Disease and Tuberculosis0422-76382012-07-01613152210.1016/j.ejcdt.2012.10.015Patient characteristics that can predict response to omalizumab an (Anti-IgE Antibody) for achieving better control of asthmatic patientsNancy M. AbdelatyBackground: Omalizumab is a monoclonal anti-immunoglobulin E (IgE) antibody indicated for the treatment of inadequately controlled severe persistent asthma despite optimal controller therapy. It is an expensive medication so there is a need to identify those patients most likely to benefit. Aim of the study: To investigate characteristics associated with response to omalizumab in difficult asthma. Patients and methods: The study enrolled 42 patients (15 female, 27 male) with age range (20 y–52 y) with severe asthma that was inadequately controlled despite step 4 treatment as described in (GINA) guidelines. Omalizumab was given as add-on therapy to concomitant asthma treatment and administered subcutaneously every 2 or 4 weeks according to patients’ pretreatment bodyweight and baseline IgE levels, for at least 16 weeks. Those who showed better asthma control were analyzed to investigate whether pre-treatment patient baseline clinical characteristics could be reliably identified and to be predictive of a superior response to omalizumab. Results: {(12/42 (28.6%)} of enrolled patients showed better asthma control. Using univariate and multivariate regression analysis, many variables showed significant effect on response to omalizumab including; age, duration of asthma, history of allergic rhinitis, history of allergic dermatitis, bronchial reversibility, no of positive results to common allergen in immediate skin-prick test, sputum eosinophilia and baseline total (IgE). Conclusion: Omalizumab is an expensive medication so it is recommended to target its use to patients most likely to benefit rather than recommend widespread use. Further studies are needed to confirm these datahttp://www.sciencedirect.com/science/article/pii/S0422763812000167IgEOmalizumabAllergic asthma
collection DOAJ
language English
format Article
sources DOAJ
author Nancy M. Abdelaty
spellingShingle Nancy M. Abdelaty
Patient characteristics that can predict response to omalizumab an (Anti-IgE Antibody) for achieving better control of asthmatic patients
Egyptian Journal of Chest Disease and Tuberculosis
IgE
Omalizumab
Allergic asthma
author_facet Nancy M. Abdelaty
author_sort Nancy M. Abdelaty
title Patient characteristics that can predict response to omalizumab an (Anti-IgE Antibody) for achieving better control of asthmatic patients
title_short Patient characteristics that can predict response to omalizumab an (Anti-IgE Antibody) for achieving better control of asthmatic patients
title_full Patient characteristics that can predict response to omalizumab an (Anti-IgE Antibody) for achieving better control of asthmatic patients
title_fullStr Patient characteristics that can predict response to omalizumab an (Anti-IgE Antibody) for achieving better control of asthmatic patients
title_full_unstemmed Patient characteristics that can predict response to omalizumab an (Anti-IgE Antibody) for achieving better control of asthmatic patients
title_sort patient characteristics that can predict response to omalizumab an (anti-ige antibody) for achieving better control of asthmatic patients
publisher Wolters Kluwer Medknow Publications
series Egyptian Journal of Chest Disease and Tuberculosis
issn 0422-7638
publishDate 2012-07-01
description Background: Omalizumab is a monoclonal anti-immunoglobulin E (IgE) antibody indicated for the treatment of inadequately controlled severe persistent asthma despite optimal controller therapy. It is an expensive medication so there is a need to identify those patients most likely to benefit. Aim of the study: To investigate characteristics associated with response to omalizumab in difficult asthma. Patients and methods: The study enrolled 42 patients (15 female, 27 male) with age range (20 y–52 y) with severe asthma that was inadequately controlled despite step 4 treatment as described in (GINA) guidelines. Omalizumab was given as add-on therapy to concomitant asthma treatment and administered subcutaneously every 2 or 4 weeks according to patients’ pretreatment bodyweight and baseline IgE levels, for at least 16 weeks. Those who showed better asthma control were analyzed to investigate whether pre-treatment patient baseline clinical characteristics could be reliably identified and to be predictive of a superior response to omalizumab. Results: {(12/42 (28.6%)} of enrolled patients showed better asthma control. Using univariate and multivariate regression analysis, many variables showed significant effect on response to omalizumab including; age, duration of asthma, history of allergic rhinitis, history of allergic dermatitis, bronchial reversibility, no of positive results to common allergen in immediate skin-prick test, sputum eosinophilia and baseline total (IgE). Conclusion: Omalizumab is an expensive medication so it is recommended to target its use to patients most likely to benefit rather than recommend widespread use. Further studies are needed to confirm these data
topic IgE
Omalizumab
Allergic asthma
url http://www.sciencedirect.com/science/article/pii/S0422763812000167
work_keys_str_mv AT nancymabdelaty patientcharacteristicsthatcanpredictresponsetoomalizumabanantiigeantibodyforachievingbettercontrolofasthmaticpatients
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