Chest
Original ResearchAsthmaDiagnostic Performance of an Electronic Nose, Fractional Exhaled Nitric Oxide, and Lung Function Testing in Asthma
Section snippets
Study Subjects
Twenty-seven white patients with intermittent or mild persistent asthma and 24 healthy subjects were studied (Table 1). Among study subjects, seven patients with asthma and seven healthy subjects participated in a study with GC/MS used for MS fingerprinting, an independent technique for assessing between-group discrimination.
Patients with asthma were recruited from the Allergy Outpatient Clinic, Istituto Dermopatico dell'Immacolata, IDI, Rome, Italy. Diagnosis and classification of asthma were
Electronic Nose
The best results were obtained when electronic nose analysis was performed on alveolar air (Tables 2, 3). Diagnostic classification with 95% CIs is shown in Table 4. The diagnostic performance was determined with the test datasets in terms of the number of correct identifications of asthma diagnosis based on current guidelines.11 Diagnostic performance for the electronic nose, FENO, lung function tests, and their combinations is shown in Table 2, Table 3 and is related to the best performances
Discussion
The original aspects of our study are: (1) the comparison between an electronic nose and FENO, in addition to lung function tests; (2) the comparison between total and alveolar exhaled air; (3) the number of study subjects (27 patients with intermittent and persistent mild asthma and 24 healthy controls); (4) the MS fingerprinting based on GC/MS analysis; and (5) the analysis of data based on a neural network that included a training and test analysis performed in two separate datasets for
Acknowledgments
Author contributions: Dr Montuschi: contributed to study planning, study design, measurement of FENO, spirometry, data analysis, data interpretation, and wrote the manuscript.
Dr Santonico: contributed to electronic nose analysis, data interpretation, and mass spectrometry fingerprinting.
Dr Mondino: contributed to recruitment of patients and skin prick testing.
Dr Pennazza: contributed to electronic nose analysis, data interpretation, and mass spectrometry fingerprinting.
Ms Mantini: contributed
References (0)
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Funding/Support: Supported by Merck, Sharp, and Dohme, and Catholic University of the Sacred Heart academic grant 2008-2009.
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