Predictive models of objective oropharyngeal OSA surgery outcomes: Success rate and AHI reduction ratio

• Published in: PloS one 2017-09, Vol.12 (9), p.e0185201-e0185201
• Main Authors: Choi, Ji Ho, Lee, Jae Yong, Cha, Jaehyung, Kim, Kangwoo, Hong, Seung-No, Lee, Seung Hoon
• Format: Article
• Language: English
• Subjects: Adult; Adults; Apnea; Biology and Life Sciences; Decision Making, Computer-Assisted; Demographics; Family medical history; Feasibility Studies; Female; Hospitals; Humans; Insomnia; Likelihood Functions; Likelihood ratio; Linear Models; Logistic Models; Male; Mathematical models; Medicine; Medicine and Health Sciences; Nose - surgery; Oropharynx - surgery; Otolaryngology; Palate; Patients; Physical Sciences; Polysomnography; Prediction models; Prognosis; Reduction; Regression analysis; Research and Analysis Methods; Retrospective Studies; Sleep; Sleep apnea; Sleep Apnea, Obstructive - diagnosis; Sleep Apnea, Obstructive - physiopathology; Sleep Apnea, Obstructive - surgery; Sleep disorders; Success; Surgery; Surgical outcomes; Tongue; Tonsil; Treatment Outcome; Weight control
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0185201

The aim of this study was to develop a predictive model of objective oropharyngeal obstructive sleep apnea (OSA) surgery outcomes including success rate and apnea-hypopnea index (AHI) reduction ratio in adult OSA patients. Retrospective outcome research. All subjects with OSA who underwent oropharyngeal and/or nasal surgery and were followed for at least 3 months were enrolled in this study. Demographic, anatomical [tonsil size (TS) and palate-tongue position (PTP) grade (Gr)], and polysomnographic parameters were analyzed. The AHI reduction ratio (%) was defined as [(postoperative AHI-preoperative AHI) x 100 / postoperative AHI], and surgical success was defined as a ≥ 50% reduction in preoperative AHI with a postoperative AHI < 20. A total of 156 consecutive OSAS adult patients (mean age ± SD = 38.9 ± 9.6, M / F = 149 / 7) were included in this study. The best predictive equation by Forward Selection likelihood ratio (LR) logistic regression analysis was: [Formula: see text]The best predictive equation according to stepwise multiple linear regression analysis was: [Formula: see text] (TS/PTP Gr = 1 if TS/PTP Gr 3 or 4, TS/PTP Gr = 0 if TS/PTP Gr 1 or 2). The predictive models for oropharyngeal surgery described in this study may be useful for planning surgical treatments and improving objective outcomes in adult OSA patients.