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分析打鼾情况以确定阻塞性睡眠呼吸暂停综合征的阻塞部位。

Analysis of snoring to determine the site of obstruction in obstructive sleep apnea syndrome.

作者信息

Gürpınar Berk, Saltürk Ziya, Kumral Tolgar Lutfi, Civelek Senol, Izel Oyku, Uyar Yavuz

机构信息

Department of Otolaryngology, Cemil Tascioglu City Hospital, Darulaceze Cad. No: 25 Okmeydani, Istanbul, Turkey.

Department of Otolaryngology, Anadolu Medical Center, Gebze, Turkey.

出版信息

Sleep Breath. 2021 Sep;25(3):1427-1432. doi: 10.1007/s11325-020-02252-5. Epub 2020 Nov 24.

DOI:10.1007/s11325-020-02252-5
PMID:33236204
Abstract

BACKGROUND

The aim of this study was to integrate the physical findings of drug-induced sleep endoscopy with snoring sound analysis in patients with obstructive sleep apnea/hypopnea syndrome (OSAS) and to compare the findings with previously published data.

METHODS

This was a prospective, non-randomized study. Participants were all candidates for surgical treatment of OSAS and formed three groups, retropalatal (RP) obstructions, retrolingual (RL) obstructions, and multilevel (ML) obstructions. At the time of DISE, recordings of concurrent snoring sounds were made. Mean pitch frequency, peak sound frequency, and fundamental frequency (Fo) components were determined.

RESULTS

A total of 55 participants had mean age 46.2 ± 7.3 years, mean BMI 30.0 ± 3.7 kg/m, and included 11 women (20%). Differences in mean pitch frequency, Fo, and peak sound frequency were all statistically significant between the RP and RL (p = 0.001), between ML and RL (p = 0.025) but were not significantly different between RP and ML. Mean pitch frequency of RP was lower than RL, and ML frequency was between RL and RP. The sound analysis graphics revealed RP waves with sharp peaks and lower frequencies and RL with smooth curves and higher frequencies. ML showed irregular patterns. Mean pitch frequency of RL was always above 400 Hz, whereas RP was below this value.

CONCLUSIONS

It is feasible to apply sound analysis to determine the site of obstruction during DISE. Combining the data may help surgeons make more accurate assessments of the pattern of the disease.

摘要

背景

本研究的目的是将药物诱导睡眠内镜检查的体格检查结果与阻塞性睡眠呼吸暂停低通气综合征(OSAS)患者的鼾声分析相结合,并将结果与先前发表的数据进行比较。

方法

这是一项前瞻性、非随机研究。参与者均为OSAS手术治疗的候选者,分为三组:软腭后(RP)阻塞、舌后(RL)阻塞和多平面(ML)阻塞。在药物诱导睡眠内镜检查时,同时记录鼾声。确定平均音高频率、峰值声音频率和基频(Fo)成分。

结果

共有55名参与者,平均年龄46.2± 7.3岁,平均体重指数30.0± 3.7kg/m,其中女性11名(20%)。RP组与RL组之间(p = 0.001)、ML组与RL组之间(p = 0.025)的平均音高频率、Fo和峰值声音频率差异均有统计学意义,但RP组与ML组之间无显著差异。RP组的平均音高频率低于RL组,ML组的频率介于RL组和RP组之间。声音分析图显示,RP组波形峰值尖锐、频率较低,RL组波形曲线平滑、频率较高。ML组表现出不规则模式。RL组的平均音高频率始终高于400Hz,而RP组低于该值。

结论

在药物诱导睡眠内镜检查期间,应用声音分析来确定阻塞部位是可行的。综合这些数据可能有助于外科医生更准确地评估疾病模式。

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Smart Phone based Snoring Sound analysis to Identify Upper Airway Obstructions.基于智能手机的鼾声分析以识别上气道阻塞
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Snoring Sound Characteristics are Associated with Common Carotid Artery Profiles in Patients with Obstructive Sleep Apnea.打鼾声音特征与阻塞性睡眠呼吸暂停患者的颈总动脉状况相关。
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