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

Ji Ho Choi; Jae Yong Lee; Jaehyung Cha; Kangwoo Kim; Seung No Hong; Seung Hoon Lee

doi:10.1371/journal.pone.0185201

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

Ji Ho Choi, Jae Yong Lee, Jaehyung Cha, Kangwoo Kim, Seung No Hong, Seung Hoon Lee

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

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 (P_x / 1 - P_x ) = 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.

Original language	English
Article number	e0185201
Journal	PloS one
Volume	12
Issue number	9
DOIs	https://doi.org/10.1371/journal.pone.0185201
Publication status	Published - 2017 Sep

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Agricultural and Biological Sciences(all)
General

Access to Document

10.1371/journal.pone.0185201

Cite this

@article{935c788a882b42c9861f2a4c818cc095,

title = "Predictive models of objective oropharyngeal OSA surgery outcomes: Success rate and AHI reduction ratio",

abstract = "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.",

author = "Choi, {Ji Ho} and Lee, {Jae Yong} and Jaehyung Cha and Kangwoo Kim and Hong, {Seung No} and Lee, {Seung Hoon}",

note = "Publisher Copyright: {\textcopyright} 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.",

year = "2017",

month = sep,

doi = "10.1371/journal.pone.0185201",

language = "English",

volume = "12",

journal = "PLoS One",

issn = "1932-6203",

publisher = "Public Library of Science",

number = "9",

}

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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85029801029&partnerID=8YFLogxK

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 -

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

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this