TY - JOUR
T1 - Predictive models of objective oropharyngeal OSA surgery outcomes
T2 - Success rate and AHI reduction ratio
AU - Choi, Ji Ho
AU - Lee, Jae Yong
AU - Cha, Jaehyung
AU - Kim, Kangwoo
AU - Hong, Seung No
AU - Lee, Seung Hoon
N1 - Publisher Copyright:
© 2017 Choi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/9
Y1 - 2017/9
N2 - Objective: 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. Study design: Retrospective outcome research. Methods: 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. Results: 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: ln (Px / 1 - Px ) = 1:518 - 0:039 x Age + 1:392 x TSGr - 0.803 x PTPGr The best predictive equation according to stepwise multiple linear regression analysis was: AHIreductionratio = -39.464 + (32.752 x TSGr) + (2.623 x AHI) - (2.542 x Arousalindex) +[1.245 x MinimumSaO2(%)] - [0.599 x Snoring(%)] (TS/PTP Gr = 1 if TS/PTP Gr 3 or 4, TS/PTP Gr = 0 if TS/PTP Gr 1 or 2) Conclusion: 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.
AB - Objective: 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. Study design: Retrospective outcome research. Methods: 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. Results: 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: ln (Px / 1 - Px ) = 1:518 - 0:039 x Age + 1:392 x TSGr - 0.803 x PTPGr The best predictive equation according to stepwise multiple linear regression analysis was: AHIreductionratio = -39.464 + (32.752 x TSGr) + (2.623 x AHI) - (2.542 x Arousalindex) +[1.245 x MinimumSaO2(%)] - [0.599 x Snoring(%)] (TS/PTP Gr = 1 if TS/PTP Gr 3 or 4, TS/PTP Gr = 0 if TS/PTP Gr 1 or 2) Conclusion: 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.
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U2 - 10.1371/journal.pone.0185201
DO - 10.1371/journal.pone.0185201
M3 - Article
C2 - 28938004
AN - SCOPUS:85029801029
VL - 12
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 9
M1 - e0185201
ER -