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Paddenberg-Schubert, Eva ; Holmer, Benedikt ; Krohn, Sebastian ; Hösl, Helmut ; Proff, Peter ; Kirschneck, Christian ; Arzt, Michael

Predictors of disease alleviation with mandibular advancement devices in obstructive sleep apnea: a retrospective cohort study

Paddenberg-Schubert, Eva , Holmer, Benedikt, Krohn, Sebastian, Hösl, Helmut, Proff, Peter , Kirschneck, Christian und Arzt, Michael (2025) Predictors of disease alleviation with mandibular advancement devices in obstructive sleep apnea: a retrospective cohort study. Head & Face Medicine 21, S. 26.

Veröffentlichungsdatum dieses Volltextes: 15 Apr 2025 12:04
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.76580


Zusammenfassung

Background: Obstructive sleep apnea (OSA) can be treated with mandibular advancement devices (MAD), preventing collapse of the upper airway and decreasing apnea-hypopnea index (AHI)/ h. Disease alleviation is expected to vary depending on specific predictors including OSA-severity and cephalometric parameters. This retrospective cohort study aimed to identify predictors of disease alleviation ...

Background:
Obstructive sleep apnea (OSA) can be treated with mandibular advancement devices (MAD), preventing collapse of the upper airway and decreasing apnea-hypopnea index (AHI)/ h. Disease alleviation is expected to vary depending on specific predictors including OSA-severity and cephalometric parameters. This retrospective cohort study aimed to identify predictors of disease alleviation with MAD in adult patients with mild to moderate and severe OSA. Secondary outcomes included assessing the necessity of lateral cephalograms and the therapeutic success in severe OSA-cases.

Methods:
OSA-patients, treated with MAD at the orthodontic department of the University Hospital Regensburg, Germany, were allocated to mild to moderate (AHI ≤ 30/ h) and severe OSA groups (AHI > 30/ h). BMI, poly(somno)graphic, demographic and cephalometric variables were evaluated before (T0) and after 3 to 6 months of MAD-treatment (T1). Applying linear regression analyses, predictors were identified, following an assessment of their effect on disease alleviation by independent two-tailed t-tests for continuous, and absolute and relative frequencies for categorical variables. Then, the need for cephalometric analysis and the disease alleviation in severe OSA-patients were evaluated.

Results:
Sixty-six predominantly male patients (mean age 55 ± 11 years; male:female = 52:14) were stratified to mild to moderate (n = 45) and severe (n = 21) OSA-groups. Regression analysis revealed baseline-AHI as a significant and relevant predictor, whereas few cephalometric parameters proved significance with small effect sizes (absolute AHI/ h-reduction, univariate model: -0.64 (95% CI: -0.75; -0.53), p < 0.001, R² = 0.666). Compared to mild to moderate OSA-cases, severe OSA-patients had a significantly higher AHI (19.1 ± 11.7 vs. 6.0 ± 4.0, p < 0.001) at T1, but also a higher disease alleviation according to absolute AHI-reduction (-26.1 ± 16.0 vs. -9.6 ± 6.4, p < 0.001), indicating comparable treatment success in all OSA-degrees.

Conclusions:
Disease alleviation with MAD in adult OSA-patients can be predicted with specific poly(somno)graphic parameters (especially baseline-AHI), whereas cephalometric variables appeared inappropriate. Still, lateral cephalograms are helpful in the diagnostics and follow-up of MAD-treatment, e.g. for evaluating side effects. Providing good patient selection, therapeutic success can be achieved in both severe and mild to moderate OSA.



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Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftHead & Face Medicine
Verlag:Springer
Band:21
Seitenbereich:S. 26
Datum14 April 2025
InstitutionenMedizin > Lehrstuhl für Kieferorthopädie
Identifikationsnummer
WertTyp
10.1186/s13005-025-00504-xDOI
Stichwörter / KeywordsLateral cephalogram, Sleep disorder, Treatment success, Apnea-hypopnea index
Dewey-Dezimal-Klassifikation600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenZum Teil
URN der UB Regensburgurn:nbn:de:bvb:355-epub-765801
Dokumenten-ID76580

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