Comparison Of Cephalometric Variables In Non-obese And Obese Patients With Obstructive Sleep Apnea

Öztürk, Önder; Tuna, Süleyman Hakan; Alkış, Hüseyin; Has, Mehmet; Balcıoğlu, Hüseyin Avni; Türkkahraman, Hakan; Akkaya, Ahmet

doi:10.5174/tutfd.2010.04093.1

Cited by 1 publication

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The correlation between OSA and craniofacial morphology is a much-debated issue in the literature [ 9 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ]. In particular, although some studies report different features between patients with OSA and healthy individuals regarding soft tissues’ dimensions and volume (e.g., thicker soft palate, a major tongue volume, and a narrower cross-sectional area of the upper airway at the uvula level) [ 26 , 27 , 28 ], investigations on craniofacial anatomy provide conflicting results.…”

Section: Introductionmentioning

confidence: 99%

Correlation between Apnea Severity and Sagittal Cephalometric Features in a Population of Patients with Polysomnographically Diagnosed Obstructive Sleep Apnea

Pollis

Lobbezoo

Ferrari

et al. 2022

JCM

View full text Add to dashboard Cite

Background and Objective: Obstructive sleep apnea (OSA) is a sleep-related breathing disorder featuring a repeated closure of the upper airway during sleep. Craniofacial anatomy is a potential risk and worsening factor for OSA. This study aims to assess the relationship between cephalometric features of craniofacial morphology and OSA severity in a population of patients with OSA. Material and Methods: A sample of forty-two patients (n = 42, M = 76%, mean age = 57.8 ± 10.8) with a polysomnographically (PSG) confirmed diagnosis of OSA were recruited and underwent cephalometric evaluation of 16 cephalometric variables. In addition, the apnea–hypopnea index (AHI), oxygen desaturation (SatMin), Epworth sleepiness scale (ESS), and body mass index (BMI) were assessed. Then t-tests were performed to compare the values of all cephalometric variables between two AHI severity-based groups (mild-to-moderate = AHI ≤ 30; severe = AHI > 30). Single- and multiple-variable regression analyses were performed to assess the associations between AHI scores and cephalometric features. Results: Mean AHI, SatMin, and BMI were 31.4 ev/h, 78.7%, and 28.1, respectively. The cephalometric variables were not significantly different between the two OSA-severity groups (p > 0.05). Multiple-variable regression analyses showed that gonial angle and nasopharynx space were negatively associated with AHI, explaining 24.6% of the total variance. Conclusion: This investigation reported that severity of AHI scores in patients with OSA showed a negative correlation with gonial angle and nasopharynx space. As a general remark, although maxillofacial anatomy can be a predisposing factor for OSA, disease severity depends mainly upon other variables.

show abstract