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 journalArticle

5 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 (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.

Original languageEnglish
Article numbere0185201
JournalPLoS One
Volume12
Issue number9
DOIs
Publication statusPublished - 2017 Sep 1

Fingerprint

sleep apnea
apnea
Obstructive Sleep Apnea
Apnea
Surgery
palate
Palate
tonsils
Palatine Tonsil
surgery
tongue
Tongue
Regression analysis
Linear regression
regression analysis
Logistics
Regression Analysis
Nasal Surgical Procedures
Snoring
Planning

ASJC Scopus subject areas

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

Cite this

Predictive models of objective oropharyngeal OSA surgery outcomes : Success rate and AHI reduction ratio. / Choi, Ji Ho; Lee, Jae Yong; Cha, Jaehyung; Kim, Kangwoo; Hong, Seung No; Lee, Seung Hoon.

In: PLoS One, Vol. 12, No. 9, e0185201, 01.09.2017.

Research output: Contribution to journalArticle

Choi, Ji Ho ; Lee, Jae Yong ; Cha, Jaehyung ; Kim, Kangwoo ; Hong, Seung No ; Lee, Seung Hoon. / Predictive models of objective oropharyngeal OSA surgery outcomes : Success rate and AHI reduction ratio. In: PLoS One. 2017 ; Vol. 12, No. 9.
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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.",
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