Recently, the exhaled breath temperature has been proposed as a potential marker for the evaluation of airway inflammation in asthma. The purpose of this study was to verify the ability to distinguish asthmatics from normal controls by a dedicated detailed mathematical evaluation of the exhaled air curve. Analysis was performed in the different phases of the curve of exhaled temperature, i.e. the rate of temperature increase (DeT) and the mean plateau value. Principal components analysis (PCA) and artificial neural networks (ANNs) were used for the evaluation of the data in 90 asthmatic children and in 33 healthy age-matched controls. Both PCA and ANNs showed that a separation between patients and controls can be obtained only by the evaluation of the plateau phase of the curve, which better reflects the periphery of the airway.

Exhaled air temperature in asthmatic children: a mathematical evaluation

Pioggia G;Ferro M;
2009

Abstract

Recently, the exhaled breath temperature has been proposed as a potential marker for the evaluation of airway inflammation in asthma. The purpose of this study was to verify the ability to distinguish asthmatics from normal controls by a dedicated detailed mathematical evaluation of the exhaled air curve. Analysis was performed in the different phases of the curve of exhaled temperature, i.e. the rate of temperature increase (DeT) and the mean plateau value. Principal components analysis (PCA) and artificial neural networks (ANNs) were used for the evaluation of the data in 90 asthmatic children and in 33 healthy age-matched controls. Both PCA and ANNs showed that a separation between patients and controls can be obtained only by the evaluation of the plateau phase of the curve, which better reflects the periphery of the airway.
Campo DC Valore Lingua
dc.authority.ancejournal PEDIATRIC ALLERGY AND IMMUNOLOGY -
dc.authority.orgunit Istituto di Fisiologia Clinica - IFC -
dc.authority.people Pifferi M it
dc.authority.people Ragazzo V it
dc.authority.people Previti A it
dc.authority.people Pioggia G it
dc.authority.people Ferro M it
dc.authority.people Macchia P it
dc.authority.people Piacentini GL it
dc.authority.people Boner AL it
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dc.date.accessioned 2024/02/20 06:24:08 -
dc.date.available 2024/02/20 06:24:08 -
dc.date.issued 2009 -
dc.description.abstracteng Recently, the exhaled breath temperature has been proposed as a potential marker for the evaluation of airway inflammation in asthma. The purpose of this study was to verify the ability to distinguish asthmatics from normal controls by a dedicated detailed mathematical evaluation of the exhaled air curve. Analysis was performed in the different phases of the curve of exhaled temperature, i.e. the rate of temperature increase (DeT) and the mean plateau value. Principal components analysis (PCA) and artificial neural networks (ANNs) were used for the evaluation of the data in 90 asthmatic children and in 33 healthy age-matched controls. Both PCA and ANNs showed that a separation between patients and controls can be obtained only by the evaluation of the plateau phase of the curve, which better reflects the periphery of the airway. -
dc.description.affiliations Department of Pediatrics, University of Pisa, Pisa; Interdepartmental Research Center ``E. Piaggio'', Faculty of Engineering, University of Pisa - Institute of Clinical Physiology CNR; Department of Pediatrics, University of Verona, Verona, Italy -
dc.description.allpeople Pifferi, M; Ragazzo, V; Previti, A; Pioggia, G; Ferro, M; Macchia, P; Piacentini, Gl; Boner, Al -
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dc.identifier.doi 10.1111/j.1399-3038.2008.00742.x -
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dc.title Exhaled air temperature in asthmatic children: a mathematical evaluation en
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scopus.description.abstracteng Pifferi M, Ragazzo V, Previti A, Pioggia G, Ferro M, Macchia P, Piacentini GL, Boner AL. Exhaled air temperature in asthmatic children: a mathematical evaluation. Pediatr Allergy Immunol 2009: 20: 164-171. © 2008 The Authors Journal compilation © 2008 Blackwell Munksgaard Recently, the exhaled breath temperature has been proposed as a potential marker for the evaluation of airway inflammation in asthma. The purpose of this study was to verify the ability to distinguish asthmatics from normal controls by a dedicated detailed mathematical evaluation of the exhaled air curve. Analysis was performed in the different phases of the curve of exhaled temperature, i.e. the rate of temperature increase (e°T) and the mean plateau value. Principal components analysis (PCA) and artificial neural networks (ANNs) were used for the evaluation of the data in 90 asthmatic children and in 33 healthy age-matched controls. Both PCA and ANNs showed that a separation between patients and controls can be obtained only by the evaluation of the plateau phase of the curve, which better reflects the periphery of the airway. © 2008 Blackwell Munksgaard. *
scopus.description.allpeopleoriginal Pifferi M.; Ragazzo V.; Previti A.; Pioggia G.; Ferro M.; MacChia P.; Piacentini G.L.; Boner A.L. *
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scopus.subject.keywords Artificial neural networks; Asthmatic children; Kohonen self-organizing maps; Principal components analysis; *
scopus.title Exhaled air temperature in asthmatic children: A mathematical evaluation *
scopus.titleeng Exhaled air temperature in asthmatic children: A mathematical evaluation *
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