Diagnosis of Respiratory Disorders by the Numerical Modeling.
JUNE Project: Does the Modeling of Nasal Airflows Improve the Pathophysiological Understanding and the Diagnosis of Functional Respiratory Disorders?
University Hospital, Bordeaux
300 participants
Jul 9, 2024
OBSERVATIONAL
Summary
Chronic Nasal obstruction (CNO) is not currently measurable objectively because clinicians use validated declarative self-questionnaires whose results are linked to the level of understanding, the acute or chronic clinical situation, fatigue, psychological state and the desired gain. Using numerical simulations of the passage of air in the nasal cavities determining specific airflow parameters, the respiratory comfort of healthy subjects and the CNO of patients treated for this pathology could be explained.
Eligibility
Inclusion Criteria4
- years ≤ age < 70 years
- BMI < 30 kg/m2
- Subject or Patient of Caucasian ethnic origin or from the Mediterranean region.
- Asymptomatic subject with or without a septal deviation without sinonasal disease with a NOSE score ≤ 7 Or Patient suffering from chronic nasal obstruction of morphological origin (symptomatic septal or nasoseptal deviation) requiring surgical management with a NOSE score ≥ 9/20, without or .with sleep apnea with an Apnea-hypopnea index ≤ 20 with no other cause than this apnea syndrome
Exclusion Criteria7
- Acute or chronic rhinosinusitis with or without polyps (except controlled allergic rhinitis)
- Vasculitis
- Empty nasal cavity syndrome
- Septal perforations
- History of nasal plastic surgery, sinonasal endoscopic surgery and cancer with head or neck radiotherapy
- Uncontrolled bronchopulmonary pathology
- Treatments with nasal vasomotor repercussions.
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Interventions
Retrospective pseudo-anonymized clinical and scannographic data from the routine management of patients in rhino-sinusology consultations.
Locations(1)
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NCT06670261