Acoustic Analysis of Snoring in the Diagnosis of Obstructive Sleep Apnea Syndrome: A Call for More Rigorous Studies

Overview

Journal J Clin Sleep Med

Specialties Neurology
Psychiatry

Date 2015 Mar 14

PMID 25766705

Citations 18

Authors

Hui Jin

Li-Ang Lee

Lijuan Song

Yanmei Li

Jianxin Peng

Nanshan Zhong

Hsueh-Yu Li

Xiaowen Zhang

Affiliations

Soon will be listed here.

Abstract

Background: Snoring is a common symptom of obstructive sleep apnea syndrome (OSA) and has recently been considered for diagnosis of OSA.

Objectives: The goal of the current study was to systematically determine the accuracy of acoustic analysis of snoring in the diagnosis of OSA using a meta-analysis.

Methods: PubMed, Cochrane Library database, and EMBASE were searched up to July 15, 2014. A systematic review and meta-analysis of sensitivity, specificity, and other measures of accuracy of acoustic analysis of snoring in the diagnosis of OSA were conducted. The median of apneahypopnea index threshold was 10 events/h, range: 5-15 or 10-15 if aforementioned suggestion is adopted.

Results: A total of seven studies with 273 patients were included in the meta-analysis. The pooled estimates were as follows: sensitivity, 88% (95% confidence interval [CI]: 82-93%); specificity, 81% (95% CI: 72-88%); positive likelihood ratio (PLR), 4.44 (95% CI: 2.39-8.27); negative likelihood ratio (NLR), 0.15 (95% CI: 0.10-0.24); and diagnostic odds ratio (DOR), 32.18 (95% CI: 13.96-74.81). χ(2) values of sensitivity, specificity, PLR, NLR, and DOR were 2.37, 10.39, 12.57, 3.79, and 6.91 respectively (All p > 0.05). The area under the summary receiver operating characteristic curve was 0.93. Sensitivity analysis demonstrated that the pooled estimates were stable and reliable. The results of publication bias were not significant (p = 0.30).

Conclusions: Acoustic analysis of snoring is a relatively accurate but not a strong method for diagnosing OSA. There is an urgent need for rigorous studies involving large samples and single snore event tests with an efficacy criterion that reflects the particular features of snoring acoustics for OSA diagnosis.

Citing Articles

Pediatric Obstructive Sleep Apnea: Diagnostic Challenges and Management Strategies.

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Teplitzky T, Zauher A, Isaiah A Diagnostics (Basel). 2023; 13(11).

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Snoring Index and Neck Circumference as Predictors of Adult Obstructive Sleep Apnea.

Chiang J, Lin Y, Lu C, Kao Y Healthcare (Basel). 2022; 10(12).

PMID: 36554066 PMC: 9778532. DOI: 10.3390/healthcare10122543.

ResNet for recognition of Qi-deficiency constitution and balanced constitution based on voice.

Lai T, Guan Y, Men S, Shang H, Zhang H Front Psychol. 2022; 13:1043955.

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Obstructive Sleep Apnea Detection Based on Sleep Sounds via Deep Learning.

Wang B, Tang X, Ai H, Li Y, Xu W, Wang X Nat Sci Sleep. 2022; 14:2033-2045.

PMID: 36394068 PMC: 9653035. DOI: 10.2147/NSS.S373367.

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