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

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 an...

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Main Authors: Jui-Kun Chiang, Yen-Chang Lin, Chih-Ming Lu, Yee-Hsin Kao
Format: Article
Language:English
Published: Thieme Revinter Publicações Ltda. 2022-12-01
Series:Sleep Science
Subjects:
Online Access:https://sleepscience.org.br/export-pdf/3369/v15n4a14.pdf
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author Jui-Kun Chiang
Yen-Chang Lin
Chih-Ming Lu
Yee-Hsin Kao
author_facet Jui-Kun Chiang
Yen-Chang Lin
Chih-Ming Lu
Yee-Hsin Kao
author_sort Jui-Kun Chiang
collection DOAJ
description 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 (R2=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.
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spelling doaj.art-9a05aea0c8bd4e60a5b9678f1d30122d2024-01-02T07:13:44ZengThieme Revinter Publicações Ltda.Sleep Science1984-06591984-00632022-12-01150446347010.5935/1984-0063.20220068Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysisJui-Kun Chiang0Yen-Chang Lin1Chih-Ming Lu2Yee-Hsin Kao3Dalin Tzu Chi Hospital, Family Medicine - Chiayi - TaiwanNature Dental Clinic, Dental department - Puli - TaiwanDalin Tzu Chi Hospital, Department of Urology - Chiayi - TaiwanTainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Family Medicine - Tainan - TaiwanObjective: 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 (R2=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.https://sleepscience.org.br/export-pdf/3369/v15n4a14.pdfsnoringobstructive sleep apnea (osa)polysomnography (psg).
spellingShingle Jui-Kun Chiang
Yen-Chang Lin
Chih-Ming Lu
Yee-Hsin Kao
Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysis
Sleep Science
snoring
obstructive sleep apnea (osa)
polysomnography (psg).
title Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysis
title_full Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysis
title_fullStr Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysis
title_full_unstemmed Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysis
title_short Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysis
title_sort correlation between snoring sounds and obstructive sleep apnea in adults a meta regression analysis
topic snoring
obstructive sleep apnea (osa)
polysomnography (psg).
url https://sleepscience.org.br/export-pdf/3369/v15n4a14.pdf
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AT chihminglu correlationbetweensnoringsoundsandobstructivesleepapneainadultsametaregressionanalysis
AT yeehsinkao correlationbetweensnoringsoundsandobstructivesleepapneainadultsametaregressionanalysis