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Craniofacial Abnormalities clinical trials

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NCT ID: NCT04301635 Active, not recruiting - Clinical trials for Craniofacial Abnormalities

Upper-airway Changes After Bimaxillary Advancement in OSAHS

OSAHS
Start date: February 4, 2019
Phase:
Study type: Observational

One of the most effective surgical treatments for obstructive sleep apnoea / hypopnoea syndrome (SAHS) with global impact on the upper-airway (UA) is the maxilla-mandibular advancement (MMA). Retrospective-prospective observational study of: clinical outcomes, UA and dental-cranium-facial (DCF) morphology. Population sample will be patients treated in the Maxillofacial Surgery department of "Hospital de Cruces". As inclusion criteria: ≥18 years-old, moderate-severe SAHS in supine position, multidisciplinary committee of sleep pathology evaluation for surgical indication, and written informed consents. As exclusion criteria: pregnant woman, SAHS of central origin, cranium-facial deformities that significantly modify normal UA, different surgery than MMA and inconclusive / incomplete tests. It is estimated ≥90% males; ≥90% 30-59 years-old; ≤10% extreme weights; 25% complementary surgeries; and sample size 40. Medical ethics code of the Declaration of Helsinki will be taken into account. To collect the pre- / postoperative data we will use, calibrated and standardized: polysomnography (PSG), computed tomography (CT), right face profile picture (RFP) and lateral teleradiography of the cranium (LTC). Furthermore, the Epworth scale and non-validated subjective self-perception test of facial aesthetics will be performed. Clinical outcomes will be evaluated from PSG using apnoea / hypopnoea index and pulse oximeter oxygen saturation, and from Epworth scale. UA morphology from CT, globally and by specific locations, through lengths, volumes, areas, dimensions, and other measurements. DCF aspects from RFP and LTC, by Ricketts cephalometric basic analysis and facial aesthetics test. Statistical, descriptive analysis of frequencies and comparative by pairs of quantitative data will be by t-Student or Wilcoxon test, after checking the variables normality with the Kolmogorov-Smirnov test.