Asthma Clinical Trial
Official title:
Analysis of Exhaled Breath by Biosensors in Adults With Asthma: Observational Part of the Study "Effects of add-on Therapy With Oral Montelukast on the Analysis of Exhale Breath by Biosensors in Adults With Asthma
The aim of this study is to investigate the pattern of organic volatile compounds (VOCs) in
the exhaled breath detected by biosensors in adults with persistent mild asthma. The
analysis of VOCs detected by biosensors in asthmatic adults will be compared with that in a
control group of healthy subjects and with exhaled nitric oxide (NO).
Identification of breath VOC patterns may be a completely noninvasive new technique for
assessing airway inflammation. A device containing a series of nanosensors can be used for
breath analysis of VOC patterns through integration with a suitable algorithm for pattern
recognition.
Preliminary data indicate that exhaled breath patterns detected by biosensors in healthy
subjects are different from those in patients with asthma. In patients with asthma, analysis
of exhaled breath using biosensors will be compared with exhaled NO measurement for studying
a possible correlation with an independent method for assessing airway inflammation and with
spirometry for assessing a possible correlation with lung function.
Measurement of exhaled NO is a well-established, validated, and standardized method for
assessing and monitoring of airway inflammation in patients with asthma who are
steroid-naive. In patients with asthma, exhaled NO concentrations are correlated with blood
eosinophil cell counts and with airway hyperresponsiveness (AHR).
This study could contribute to the identification and development of a completely new
non-invasive technique for assessing airway inflammation with important implications for
diagnosis and therapeutic monitoring of patients with asthma.
Establishing the effect of anti-inflammatory drugs on breath analysis by biosensors in
patients with asthma is relevant for future studies aimed to use this technique in asthma
management.
n/a
Observational Model: Case Control, Time Perspective: Cross-Sectional
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