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Sleep and Breathing

, Volume 16, Issue 1, pp 47–58 | Cite as

Cephalometry and prediction of oral appliance treatment outcome

  • Andrew Tze Ming Ng
  • M. Ali Darendeliler
  • Peter Petocz
  • Peter A. Cistulli
Original Article

Abstract

Rationale

Predicting which patients with obstructive sleep apnea (OSA) will be successfully treated with mandibular advancement splints (MAS) remains elusive. Developing simple daytime measurements and tests to predict treatment outcome would enhance MAS treatment.

Objective

The purpose of this study was to assess the clinical utility of anthropomorphic measurements and cephalometric X-rays in the prediction of MAS treatment outcome in OSA.

Methods

Anthropomorphic measurements and cephalometric X-rays from 72 OSA patients who had presented to a tertiary referral sleep clinic were analyzed retrospectively.

Results

Treatment response was defined as ≥50% reduction in Apnea/Hypopnea Index (AHI; criterion 1); ≥50% reduction and residual AHI less than 20/h (criterion 2); ≥50% reduction in AHI and residual AHI less than 10/h (criterion 3); and ≥50% reduction in AHI and residual AHI less than 5/h (criterion 4). This was done to reflect the differences in the clinical definition of treatment success in the literature. A good response occurred in 56% (40 patients) according to criterion 1; 54% (39 patients) according to criterion 2; 46% (33 patients) according to criterion 3; or 39% (28 patients) according to criterion 4. Age and gender were found to be significant predictors for criteria 1 and 2. Age and soft palate length were found to be significant predictors for criteria 3 and 4. Equations to predict MAS treatment response were derived as equations were to predict final AHI.

Conclusions

Certain cephalometric and anthropomorphic measurements impact on MAS treatment outcome. This study adds to the current literature and implies that MAS success is (to some degree) related to anatomical characteristics.

Keywords

Obstructive sleep apnea Mandibular advancement splint Oral appliance Prediction 

Notes

Acknowledgment

We wish to thank Dr Jin Qian, sleep laboratory manager of the Centre for Sleep Disorders and Respiratory Failure at St. George Hospital, for his assistance with sleep studies and data processing.

Conflict of interest

PAC contributed to the development of the oral appliance used on this study, which is being commercialized by SomnoMed Ltd, and was a consultant for the company 2004–2006. His department has received in-kind and/or financial support for sleep apnea research from SomonMed Ltd., ResMed Inc, and ExploraMed Inc.

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Andrew Tze Ming Ng
    • 1
  • M. Ali Darendeliler
    • 2
  • Peter Petocz
    • 3
  • Peter A. Cistulli
    • 4
  1. 1.Centre for Sleep Disorders and Respiratory FailureSt. George HospitalSydneyAustralia
  2. 2.Faculty of DentistryUniversity of SydneySydneyAustralia
  3. 3.Department of StatisticsMacquarie UniversitySydneyAustralia
  4. 4.Centre for Sleep Health and Research, Department of Respiratory MedicineRoyal North Shore HospitalSydneyAustralia

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