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Updated: May 24, 2026

Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea
Published on: December 6, 2016
Subjective, anatomical, and functional nasal evaluation of patients with obstructive sleep apnea syndrome
Tatiana de Aguiar Vidigal1, Fernanda Louise Martinho Haddad, Luiz Carlos Gregório
1Departamento de Otorrinolaringologia e Cirurgia de Cabeça Pescoço, Universidade Federal de São Paulo, São Paulo, Brazil. tatividigal@yahoo.com.br
Background:
Studies have shown a high occurrence of nasal alterations in patients with obstructive sleep apnea syndrome (OSAS), but no studies have used different methods to evaluate the nose of patients with OSAS. The objective of this study was to evaluate the nose of patients with OSAS, compare them to controls, and correlate the different methods used to evaluate the nose.
Methods:
Forty-seven patients with moderate/severe OSAS and 20 controls who were matched for gender, age, and body mass index were included. Questionnaires regarding sleep and nasal symptoms, physical examination, rhinoscopy, nasofibroscopy, nasal inspiratory peak flow (NIPF), and acoustic rhinometry (AR) measurements were performed.
Results:
In the OSAS group, 33 (70.2%) were male, with a mean age of 53.2 ± 9.1 years. In the control group, 13 (65%) were male, with a mean age of 53.7 ± 9.7 years. The OSAS group had a higher score on the nasal symptoms scale (p < 0.01) and a higher frequency of nasal alterations [presence of septal deviation, clinical complaints (p = 0.01) and hypertrophy of the inferior nasal turbinate (p < 0.01)]. The NIPF and AR parameters could not differentiate between the OSAS and control groups. There were no significant correlations among the different methods used to evaluate the nose. Lower NIPF values were capable of predicting higher apnea-hypopnea index scores (p = 0.007).
Conclusion:
Clinical complaints and nasal alterations as measured by rhinoscopy and nasofibroscopy were associated with the presence of OSAS, which was not the case for the NIPF and AR parameters. The results of different evaluation methods were not correlated with each other.
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