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Wheezing Diagnosis Using a Smartphone

NCT02897960 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2023-02-06

No results posted yet for this study

Summary

Abnormal respiratory sounds (wheezing and/or crackles) are diagnosis criteria of acute bronchiolitis. One third of these infants will develop recurrent episodes, leading to the diagnosis of infant asthma. Nowadays, no available treatment shortens the course of bronchiolitis or hastens the resolution of symptoms, thus, therapy is supportive. Our hypothesis is that the diagnosis of wheezing during bronchiolitis (\~60% of infants) will help to select infants who will benefit from anti-asthma therapy. In this setting the diagnosis of wheezing is crucial, and an objective tool for recognition of wheezing is of clinical value. The investigators developed a wheezing recognition algorithm from recorded respiratory sounds with a Smartphone placed near the mouth (Bokov P, Comput Biol Med, 2016). The objectives of the present cross sectional, observational study are 1/ to further validate our approach in a larger sample of infants (1 to 24 months) admitted to hospital for a respiratory complaint during the period of viral bronchiolitis, and 2/ to use gold standard diagnosis of wheezing by respiratory sound recording (Littmann) and subsequent analysis by two experienced pediatricians.

Conditions

  • Bronchiolitis

Sponsors & Collaborators

  • Assistance Publique - Hôpitaux de Paris

    lead OTHER

Eligibility

Min Age
1 Month
Max Age
24 Months
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-10-31
Primary Completion
2017-04-30
Completion
2017-06-30

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02897960 on ClinicalTrials.gov