Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma

Abstract Background Research into the effects of asthma treatments on the extra-pulmonary symptoms of severe asthma is limited by the absence of a suitable questionnaire. The aim was to create a questionnaire suitable for intervention studies by selecting symptoms that are statistically associated w...

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Autores principales: Giulio de Felice, Michael E. Hyland, Joseph W. Lanario, Yuri Antonacci, Rupert C. Jones, Matthew Masoli
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Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/d6424bee4dda46f7bc663f40160b9744
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spelling oai:doaj.org-article:d6424bee4dda46f7bc663f40160b97442021-11-21T12:39:23ZPreliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma10.1186/s12890-021-01730-01471-2466https://doaj.org/article/d6424bee4dda46f7bc663f40160b97442021-11-01T00:00:00Zhttps://doi.org/10.1186/s12890-021-01730-0https://doaj.org/toc/1471-2466Abstract Background Research into the effects of asthma treatments on the extra-pulmonary symptoms of severe asthma is limited by the absence of a suitable questionnaire. The aim was to create a questionnaire suitable for intervention studies by selecting symptoms that are statistically associated with asthma pathology and therefore may improve when pathology is reduced. Methods Patients attending a specialist asthma clinic completed the 65-item General Symptom Questionnaire (GSQ-65), a questionnaire validated for assessing symptoms of people with multiple medically unexplained symptoms. Lung function (FEV1%) and cumulative oral corticosteroids (OCS) calculated from maintenance dose plus exacerbations were obtained from clinic records. Pathology was represented by the two components of a principal component analysis (PCA) of FEV1% and OCS. LASSO regression was used to select symptoms that had high coefficients with these two principal components and occurred frequently in severe asthma. Results 100 patients provided data. PCA revealed two components, one where FEV1% and OCS were inversely related and another where they were directly related. LASSO regression revealed 39 symptoms with non-zero coefficients on one or more of the two principal components from which 16 symptoms were selected for the GSQ-A on the basis of magnitude of coefficient and frequency. Asthma symptoms measured by asthma control questionnaires were excluded. The GSQ-A correlated 0.33 and − 0.34 (p = 0.001) with the two principal components. Conclusion The GSQ-A assesses the frequency of 16 heterogenous non-respiratory symptoms that are associated with asthma severity using the statistical combination of FEV1% and OCS.Giulio de FeliceMichael E. HylandJoseph W. LanarioYuri AntonacciRupert C. JonesMatthew MasoliBMCarticleAsthmaSymptomsFibromyalgiaQuestionnairePatient reported outcomesDiseases of the respiratory systemRC705-779ENBMC Pulmonary Medicine, Vol 21, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Asthma
Symptoms
Fibromyalgia
Questionnaire
Patient reported outcomes
Diseases of the respiratory system
RC705-779
spellingShingle Asthma
Symptoms
Fibromyalgia
Questionnaire
Patient reported outcomes
Diseases of the respiratory system
RC705-779
Giulio de Felice
Michael E. Hyland
Joseph W. Lanario
Yuri Antonacci
Rupert C. Jones
Matthew Masoli
Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma
description Abstract Background Research into the effects of asthma treatments on the extra-pulmonary symptoms of severe asthma is limited by the absence of a suitable questionnaire. The aim was to create a questionnaire suitable for intervention studies by selecting symptoms that are statistically associated with asthma pathology and therefore may improve when pathology is reduced. Methods Patients attending a specialist asthma clinic completed the 65-item General Symptom Questionnaire (GSQ-65), a questionnaire validated for assessing symptoms of people with multiple medically unexplained symptoms. Lung function (FEV1%) and cumulative oral corticosteroids (OCS) calculated from maintenance dose plus exacerbations were obtained from clinic records. Pathology was represented by the two components of a principal component analysis (PCA) of FEV1% and OCS. LASSO regression was used to select symptoms that had high coefficients with these two principal components and occurred frequently in severe asthma. Results 100 patients provided data. PCA revealed two components, one where FEV1% and OCS were inversely related and another where they were directly related. LASSO regression revealed 39 symptoms with non-zero coefficients on one or more of the two principal components from which 16 symptoms were selected for the GSQ-A on the basis of magnitude of coefficient and frequency. Asthma symptoms measured by asthma control questionnaires were excluded. The GSQ-A correlated 0.33 and − 0.34 (p = 0.001) with the two principal components. Conclusion The GSQ-A assesses the frequency of 16 heterogenous non-respiratory symptoms that are associated with asthma severity using the statistical combination of FEV1% and OCS.
format article
author Giulio de Felice
Michael E. Hyland
Joseph W. Lanario
Yuri Antonacci
Rupert C. Jones
Matthew Masoli
author_facet Giulio de Felice
Michael E. Hyland
Joseph W. Lanario
Yuri Antonacci
Rupert C. Jones
Matthew Masoli
author_sort Giulio de Felice
title Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma
title_short Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma
title_full Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma
title_fullStr Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma
title_full_unstemmed Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma
title_sort preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma
publisher BMC
publishDate 2021
url https://doaj.org/article/d6424bee4dda46f7bc663f40160b9744
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