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Mandibular advancement device in obstructive sleep apnea treatment: what happens to the condyle position and patient response?

  • Marcela Lima Gurgel,
  • Rowdley Robert Rossi Pereira,
  • Amanda Barbosa Pereira,
  • Cibele Dal Fabbro,
  • Lucio Mitsuo Kurita,
  • Thyciana Rodrigues Ribeiro,
  • Lucia Helena Soares Cevidanes,
  • Fabio Wildson Gurgel Costa,
  • Cauby Maia Chaves Junior

摘要

Background

This study aims primarily to assess the mandibular condyles and patient response to MAD therapy using cone-beam computed tomography (CBCT). Also, the study proposes to analyze whether variations in condylar position, OSA severity and mandibular protrusion influence patient response.

Methods

23 patients diagnosed with mild/moderate OSA and treated with MAD comprised the sample. Clinical, CBCT, and PSG assessments were conducted at baseline and with MAD in therapeutic protrusion (4–6 months of MAD use). The condyle position was vertically and horizontally evaluated at baseline and at the therapeutic protrusion.

Results

The condyle position significantly changed with MAD, showing anterior (7.3 ± 2.8 mm; p < 0.001) and inferior (3.5 ± 1 mm; p < 0.001) displacement. Patients with mild OSA required more protrusion (p = 0.02) for improvement. Responders exhibited a significantly prominent (p = 0.04) anterior baseline condyle position. A negative modest correlation was found between treatment response and baseline condyle anterior position (p = 0.03; r=-0.4), as well as between OSA severity and the percentage of maximum protrusion needed for therapeutic protrusion (p = 0.02; r=-0.4). The patient protrusion amount did not predict condylar positional changes. Neither condyle position, OSA severity, nor therapeutic protrusion were predictors of MAD treatment response.

Conclusion

MAD resulted in anterior and inferior condylar displacement, and the amount of protrusion did not predict condylar positional changes. Responders showed a more anterior baseline condyle position. OSA severity and mandibular protrusion did not predict treatment response.