Development of a physiological-based model that uses standard polysomnography and clinical data to predict oral appliance treatment outcomes in obstructive sleep apnea

2021 ◽  
Author(s):  
Ritaban Dutta ◽  
Benjamin K. Tong ◽  
Danny J. Eckert
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Treatment Outcomes ◽  
Clinical Data ◽  
Oral Appliance ◽  
Obstructive Sleep

Prediction of oral appliance treatment outcomes in obstructive sleep apnea: A systematic review

2016 ◽  
Vol 30 ◽  
pp. 25-33 ◽  
Author(s):  
Kentaro Okuno ◽  
Benjamin T. Pliska ◽  
Mona Hamoda ◽  
Alan A. Lowe ◽  
Fernanda R. Almeida
Keyword(s):  
Systematic Review ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Treatment Outcomes ◽  
Oral Appliance ◽  
Obstructive Sleep

Predictive Factors for Efficacious Oral Appliance Therapy in Moderate to Severe Obstructive Sleep Apnea Patients

2021 ◽  
Author(s):  
Guillaume Buiret ◽  
Maroun Bechara ◽  
Isabelle Plouin‐Gaudon ◽  
Frederique Bavozet ◽  
Olivia Dancea ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Predictive Factors ◽  
Oral Appliance ◽  
Severe Obstructive Sleep Apnea ◽  
Oral Appliance Therapy ◽  
Obstructive Sleep

The effect of oral appliance therapy on blood pressure in patients with obstructive sleep apnea

2006 ◽  
Vol 10 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Ryo Otsuka ◽  
Fernanda Ribeiro de Almeida ◽  
Alan A. Lowe ◽  
Wolfgang Linden ◽  
Frank Ryan
Keyword(s):  
Blood Pressure ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Oral Appliance ◽  
Oral Appliance Therapy ◽  
Obstructive Sleep

scholarly journals Evaluation of Respiratory Resistance as a Predictor for Oral Appliance Treatment Response in Obstructive Sleep Apnea: A Pilot Study

2021 ◽  
Vol 10 (6) ◽  
pp. 1255
Author(s):  
Hiroyuki Ishiyama ◽  
Masayuki Hideshima ◽  
Shusuke Inukai ◽  
Meiyo Tamaoka ◽  
Akira Nishiyama ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Pilot Study ◽  
Reduction Rate ◽  
Oral Appliance ◽  
Respiratory Resistance ◽  
Obstructive Sleep ◽  
Respiratory Event ◽  
Significant Difference ◽  
Treatment Responses

The aim of this study was to determine the utility of respiratory resistance as a predictor of oral appliance (OA) response in obstructive sleep apnea (OSA). Twenty-seven patients with OSA (mean respiratory event index (REI): 17.5 ± 6.5 events/h) were recruited. At baseline, the respiratory resistance (R20) was measured by impulse oscillometry (IOS) with a fitted nasal mask in the supine position, and cephalometric radiographs were obtained to analyze the pharyngeal airway space (SPAS: superior posterior airway space, MAS: middle airway space, IAS: inferior airway space). The R20 and radiographs after the OA treatment were evaluated, and the changes from the baseline were analyzed. A sleep test with OA was carried out using a portable device. The subjects were divided into Responders and Non-responders based on an REI improvement ≥ 50% from the baseline, or REI < 5 after treatment, and the R20 reduction rate between the two groups were compared. The subjects comprised 20 responders and 7 non-responders. The R20 reduction rate with OA in responders was significantly greater than it was in non-responders (14.4 ± 7.9 % versus 2.4 ± 9.8 %, p < 0.05). In responders, SPAS, MAS, and IAS were significantly widened and R20 was significantly decreased with OA (p < 0.05). There was no significant difference in non-responders (p > 0.05). A logistic multiple regression analysis showed that the R20 reduction rate was predictive for OA treatment responses (2% incremental odds ratio (OR), 24.5; 95% CI, 21.5–28.0; p = 0.018). This pilot study confirmed that respiratory resistance may have significant clinical utility in predicting OA treatment responses.

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