Does Snoring Time Always Reflect the Severity of Obstructive Sleep Apnea?

Hong, Seung No; Yoo, Jun; Song, In Sik; Joo, Jae Woo; Yoo, June Hyuk; Kim, Tae Hoon; Lee, Heung Man; Lee, Sang Hag; Lee, Jun Young

doi:10.1177/0003489417727014

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…Although we revealed that employing snoring rate and snoring index resulted in correlations with AHI values determined from PSG, the estimate of correlations was less than others (STII, snoring frequency, and snoring intensity). This may be due to the deviation between the correlations, such as the negative r (-0.04) in Hong’s study 14 as well as the lower correlations (0.04) in Levartovsky’s study 20 and Alshaer’s study 19 (0.32). Another explanation might be the limited number of studies.…”

Section: Discussionmentioning

confidence: 93%

“…According to acoustic analysis methods, we classified these 13 studies into 5 subgroups. The first subgroup contained studies that analyzed snoring rate (or snoring duration); 3 studies reported correlations between snoring rates (snoring duration divided by total sleep time) and the AHI [14][15][16] . In these 3 studies, snore sensors were used to record snoring sounds during sleep.…”

Section: Resultsmentioning

confidence: 99%

“…The influential analysis omitted Hong’s study 14 , and this resulted in a pooled effect of 0.96 (95%CI = 0.72, 1.20). For the leave-one-out analysis, the mean pooled effect was 0.89 ± 0.05 (range: 0.82, 0.96).…”

Section: Resultsmentioning

confidence: 99%

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

Chiang¹,

Lin²,

Lu³

et al. 2022

Sleep Sci

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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.

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Section: Discussionmentioning

confidence: 93%

Section: Resultsmentioning

confidence: 99%

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

Chiang¹,

Lin²,

Lu³

et al. 2022

Sleep Sci

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“…However, while comparing the snoring rates between the groups (divided according to the severity of OSAS by AHI), they found that the snoring rates increased as the AHI increased from the control to the moderate OSAS group and decreased as the AHI increased from the moderate to the very severe OSAS group. [ 12 ] Most of the studies proved that there is an association between snoring intensity and the severity of OSAS and reported a positive correlation between the intensity of snoring sound and AHI; therefore, they showed that snoring became louder as OSAS became more severe. [ 4 19 20 21 ] Acar et al .…”

Section: Discussionmentioning

confidence: 99%

Snoring time versus snoring intensity: Which parameter correlates better with severity of obstructive sleep apnea syndrome?

et al. 2020

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“…In the presence of opioids and other sedating medications, tidal volume or depth of breath may be shallow, and rhythm may be irregular representing pharyngeal collapsibility/apneic events (Al-Khabori et al, 2014;Drummond et al, 2013). Clinicians should use their auditory senses to listen for snoring, which is a sign of varying degrees of pharyngeal collapse (Alakuijala & Salmi, 2016;Hong et al, 2017;Koo et al, 2017). Much like patients with OSA, patients experiencing OIUAS and OIRD could exhibit noisy breathing and a distinct pattern with pause in breaths for more than 10 seconds, then a louder snore as they arouse to open their airway .…”

Section: Sedation Scalesmentioning

confidence: 99%

American Society for Pain Management Nursing Guidelines on Monitoring for Opioid-Induced Advancing Sedation and Respiratory Depression: Revisions

Jungquist

Quinlan-Colwell

Vallerand

et al. 2020

Pain Management Nursing

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a b s t r a c tObjectives: This report presents up-to-date evidence and expert consensus-based revisions to the ASPMN 2011 guidelines that inform interprofessional clinical decision-making for hospitalized adults receiving opioid analgesics. Design: Systematic review of the literature. Methods: A 14-member expert panel was charged with reviewing and grading the strength of scientific evidence published in peer reviewed journals and revising the ASPMN 2011 existing guidelines. Panel members formulated recommendations based on the strength of evidence and reached consensus through discussion, reappraisal of evidence, and voting by majority when necessary. The American Society of Anesthesiologists evidence categories for grading and classifying the strength of the evidence were used. Recommendations were subjected to a critical review by ASPMN members as well as external reviews. Results: The 2011 guidelines were found to still be relevant to clinical practice, but new evidence substantiated refinement and more specific recommendations for electronic monitoring. The revised guidelines present risk factors divided into three categories: patient-specific, treatment-related, and environment of care. Specific recommendations for the use of electronic monitoring are delineated. Conclusions: All hospitalized patients that are administered opioids for acute pain are at risk of opioid induced advancing sedation and respiratory depression, but some patients are at high risk and require extra vigilance to prevent adverse events. All patients must be assessed for level of risk. Adaptations to the plan of care and monitoring strategies should be driven by iterative re-assessments according to level of risk.

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Does Snoring Time Always Reflect the Severity of Obstructive Sleep Apnea?

Abstract: The change in snoring rate according to the severity of AHI showed an inverted U-shaped pattern, with a peak in the moderate OSA group.

Cited by 7 publications

References 20 publications

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

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

Snoring time versus snoring intensity: Which parameter correlates better with severity of obstructive sleep apnea syndrome?

American Society for Pain Management Nursing Guidelines on Monitoring for Opioid-Induced Advancing Sedation and Respiratory Depression: Revisions

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