CC BY-NC-ND 4.0 · Sleep Sci 2022; 15(04): 463-470
DOI: 10.5935/1984-0063.20220068
REVIEWS

Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysis

Jui-Kun Chiang
1   Dalin Tzu Chi Hospital, Family Medicine - Chiayi - Taiwan
,
Yen-Chang Lin
2   Nature Dental Clinic, Dental department - Puli - Taiwan
,
Chih-Ming Lu
3   Dalin Tzu Chi Hospital, Department of Urology - Chiayi - Taiwan
,
Yee-Hsin Kao
4   Tainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Family Medicine - Tainan - Taiwan
› Author Affiliations

Objective Snoring is a dominant clinical symptom in patients with obstructive sleep apnea (OSA), and analyzing snoring sounds might be a potential alternative to polysomnography (PSG) for the assessment of OSA. This study aimed to systematically examine the correlation between the snoring sounds and the apnea-hypopnea index (AHI) as the measures of OSA severity.

Material and Methods A comprehensive literature review using the MEDLINE, Embase, Cochrane Library, Scopus, and PubMed databases identified the published studies reporting the correlations between and severity of snoring and the AHI values by meta-regression analysis.

Results In total, 13 studies involving 3,153 adult patients were included in this study. The pooled correlation coefficient for snoring sounds and AHI values was 0.71 (95%CI: 0.49, 0.85) from the random-effects meta-analysis with the Knapp and Hartung adjustment. The I [2] and chi-square Q test demonstrated significant heterogeneity (97.6% and p<0.001). After adjusting for the effects of the other covariates, the mean value of the Fisher’s r-to-z transformed correlation coefficient would have 0.80 less by the snoring rate (95%CI = -1.02, -0.57), 1.46 less by the snoring index (95%CI = -1.85, -1.07), and 0.21 less in the mean body mass index (95%CI = -0.31, -0.11), but 0.15 more in the mean age (95%CI = 0.10, 0.20). It fitted the data very well (R [2]=0.9641).

Conclusion A high correlation between the severity of snoring and the AHI was found in the studies with PSG. As compared to the snoring rate and the snoring index, the snoring intensity, the snoring frequency, and the snoring time interval index were more sensitive measures for the severity of snoring.

Disclosure statement

The authors declare no conflict of interest.




Publication History

Received: 28 July 2021

Accepted: 07 February 2022

Article published online:
01 December 2023

© 2023. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Revinter Publicações Ltda.
Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil

 
  • REFERENCES

  • 1 Yunus FM, Khan S, Mitra DK, Mistry SK, Afsana K, Rahman M. Relationship of sleep pattern and snoring with chronic disease: findings from a nationwide population-based survey. Sleep Health. 2018 Feb;4(1):40-8. DOI: https://doi.org/10.1016/j.sleh.2017.10.003
  • 2 Hoffstein V. Apnea and snoring: state of the art and future directions. Acta Otorhinolaryngol Belg. 2002 Jul;56(2):205-36.
  • 3 Maimon N, Hanly PJ. Does snoring intensity correlate with the severity of obstructive sleep apnea? J Clin Sleep Med. 2010 Oct;6(5):475-8.
  • 4 Mesquita J, Solà-Soler J, Fiz JA, Morera J, Jané R. All night analysis of time interval between snores in subjects with sleep apnea hypopnea syndrome. Med Biol Eng Comput. 2012 Apr;50(4):373-81. DOI: https:// doi.org/10.1007/s11517-012-0885-9
  • 5 Franklin KA, Lindberg E. Obstructive sleep apnea is a common disorder in the population-a review on the epidemiology of sleep apnea. J Thorac Dis. 2015 Aug;7(8):1311-22. DOI: https://doi.org/10.3978/j.issn.2072-1439.2015.06.11
  • 6 Young T, Peppard PE, Gottlieb DJ. Epidemiology of obstructive sleep apnea: a population health perspective. Am J Respir Crit Care Med. 2002 May;165(9):1217-39. DOI: https://doi.org/10.1164/rccm.2109080
  • 7 Abeyratne UR, Wakwella AS, Hukins C. Pitch jump probability measures for the analysis of snoring sounds in apnea. Physiol Meas. 2005 Jul;26(5):779-98. DOI: https://doi.org/10.1088/0967-3334/26/5/016
  • 8 Epstein LJ, Kristo D, Strollo Junior PJ, Friedman N, Malhotra A, Patil SP, et al. Clinical guideline for the evaluation, management and longterm care of obstructive sleep apnea in adults. J Clin Sleep Med. 2009 Jun;5(3):263-76.
  • 9 Ng AK, Koh TS, Abeyratne UR, Puvanendran K. Investigation of obstructive sleep apnea using nonlinear mode interactions in nonstationary snore signals. Ann Biomed Eng. 2009 Sep;37(9):1796-806. DOI: https://doi.org/10.1007/s10439-009-9744-8
  • 10 Peng H, Xu H, Gao Z, Huang W, He Y. Acoustic analysis of overnight consecutive snoring sounds by sound pressure levels. Acta Otolaryngol. 2015 Aug;135(8):747-53. DOI: https://doi.org/10.3109/00016489.2015.1027414
  • 11 Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015 Jan;4(1):1. DOI: https://doi.org/10.1186/2046-4053-4-1
  • 12 Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to meta-analysis. Chichester: John Wiley & Sons; 2009.
  • 13 Hu FC. My.stepwise: stepwise variable selection procedures for regression analysis. CRAN-R project. R package, version 0.1.0 [Internet]. Cambridge: International-Harvard Statistical Consulting Company; 2017; [access in 2021 Apr 02]. Available from: https://CRAN.R-project.org/ package=My.stepwise
  • 14 Hong SN, Yoo J, Song IS, Joo JW, Yoo JH, Kim TH, et al. Does snoring time always reflect the severity of obstructive sleep apnea? Ann Otol Rhinol Laryngol. 2017 Oct;126(10):693-6. DOI: https://doi. org/10.1177/0003489417727014
  • 15 Kallel S, Kchaou K, Jameleddine A, Sellami M, Mnejja M, Charfeddine I. Snoring time versus snoring intensity: which parameter correlates better with severity of obstructive sleep apnea syndrome? Lung India. 2020 Jul/Aug;37(4):300-3. DOI: https://doi.org/10.4103/lungindia. lungindia_394_19
  • 16 Alakuijala A, Salmi T. Predicting obstructive sleep apnea with periodic snoring sound recorded at home. J Clin Sleep Med. 2016 Jul;12(7):953-8. DOI: https://doi.org/10.5664/jcsm.5922
  • 17 Jané R, Fiz JA, Solà-Soler J, Mesquita J, Morera J. Snoring analysis for the screening of sleep apnea hypopnea syndrome with a single-channel device developed using polysomnographic and snoring databases. Annu Int Conf IEEE Eng Med Biol Soc. 2011 Jan;2011:8331-3. DOI: https:// doi.org/10.1109/IEMBS.2011.6092054
  • 18 Wu HT, Pan WY, Liu AB, Su MC, Chen HR, Tsai IT, et al. Vibration signals of snoring as a simple severity predictor for obstructive sleep apnea. Clin Respir J. 2016 Jul;10(4):440-8. DOI: https://doi.org/10.1111/crj.12237
  • 19 Alshaer H, Hummel R, Mendelson M, Marshal T, Bradley TD. Objective relationship between sleep apnea and frequency of snoring assessed by machine learning. J Clin Sleep Med. 2019 Mar;15(3):463-70. DOI: https://doi.org/10.5664/jcsm.7676
  • 20 Levartovsky A, Dafna E, Zigel Y, Tarasiuk A. Breathing and snoring sound characteristics during sleep in adults. J Clin Sleep Med. 2016 Mar;12(3):375-84. DOI: https://doi.org/10.5664/jcsm.5588
  • 21 Nakano H, Hirayama K, Sadamitsu Y, Toshimitsu A, Fujita H, Shin S, et al. Monitoring sound to quantify snoring and sleep apnea severity using a smartphone: proof of concept. J Clin Sleep Med. 2014 Jan;10(1):73-8. DOI: https://doi.org/10.5664/jcsm.3364
  • 22 Ben-Israel N, Tarasiuk A, Zigel Y. Obstructive apnea hypopnea index estimation by analysis of nocturnal snoring signals in adults. Sleep. 2012 Sep;35(9):1299-305C. DOI: https://doi.org/10.5665/sleep.2092
  • 23 Kim JW, Kim T, Shin J, Lee K, Choi S, Cho SW. Prediction of apneahypopnea index using sound data collected by a noncontact device. Otolaryngol Head Neck Surg. 2020 Mar;162(3):392-9. DOI: https://doi. org/10.1177/0194599819900014
  • 24 Alencar AM, Silva DGV, Oliveira CB, Vieira AP, Henrique T, Moriya HT, et al. Dynamics of snoring sounds and its connection with obstructive sleep apnea. Phys A: Stat Mech Appl. 2013 Jan;392(1):271-7. DOI: https://doi.org/10.1016/j.physa.2012.08.008
  • 25 Flemons WW, Whitelaw WA, Brant R, Remmers JE. Likelihood ratios for a sleep apnea clinical prediction rule. Am J Respir Crit Care Med. 1994 Nov;150(5):1279-85. DOI: https://doi.org/10.1164/ ajrccm.150.5.7952553
  • 26 Myers KA, Mrkobrada M, Simel DL. Does this patient have obstructive sleep apnea? The rational clinical examination systematic review. JAMA. 2013 Aug;310(7):731-41. DOI: https://doi.org/10.1001/ jama.2013.276185
  • 27 Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. Int J Obes Relat Metab Disord. 1998 Jan;22(1):39-47. DOI: https://doi. org/10.1038/sj.ijo.0800541
  • 28 Lin CM, Davidson TM, Ancoli-Israel S. Gender differences in obstructive sleep apnea and treatment implications. Sleep Med Rev. 2008 Dec;12(6):481-96. DOI: https://doi.org/10.1016/j.smrv.2007.11.003
  • 29 Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, et al. Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med. 2017 Mar;13(3):479-504. DOI: https://doi.org/10.5664/jcsm.6506