Changes of snoring sound after relocation pharyngoplasty for obstructive sleep apnoea: the surgery reduces mean intensity in snoring which correlates well with apnoea–hypopnoea index

et al. 2016

Sci Rep

Snoring sounds generated by different vibrators of the upper airway may be useful indicators of obstruction sites in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). This study aimed to investigate associations between snoring sounds, obstruction sites, and surgical responses (≥50% reduction in the apnea-hypopnea index [AHI] and <10 events/hour) in patients with OSAHS. This prospective cohort study recruited 36 OSAHS patients for 6-hour snoring sound recordings during in-lab full-night polysomnography, drug-induced sleep endoscopy (DISE), and relocation pharyngoplasty. All patients received follow-up polysomnography after 6 months. Fifteen (42%) patients with at least two complete obstruction sites defined by DISE were significantly, positively associated with maximal snoring sound intensity (40–300 Hz; odds ratio [OR], 1.25, 95% confidence interval [CI] 1.05–1.49) and body mass index (OR, 1.48, 95% CI 1.02–2.15) after logistic regression analysis. Tonsil obstruction was significantly, inversely correlated with mean snoring sound intensity (301–850 Hz; OR, 0.84, 95% CI 0.74–0.96). Moreover, baseline tonsil obstruction detected by either DISE or mean snoring sound intensity (301–850 Hz), and AHI could significantly predict the surgical response. Our findings suggest that snoring sound detection may be helpful in determining obstruction sites and predict surgical responses.

Section: Methodsmentioning

confidence: 99%

Snoring Sounds Predict Obstruction Sites and Surgical Response in Patients with Obstructive Sleep Apnea Hypopnea Syndrome

et al. 2016

Sci Rep

“…The sample size for this study was estimated using the primary outcome effects (change in AHI) in 2 of our group's recent studies (mean [SD], −68% [23%] 13 vs −46% [35%] 19 ). Using 2-tailed t test for calculating the sample size (effect size, 0.74; type I error, 0.05; 90% power; and allocation ratio of group 2 to group 1 of 2) resulted in a sample size of 88.…”

Section: Statistical Powermentioning

confidence: 99%

Efficacy of Coblation Endoscopic Lingual Lightening in Multilevel Surgery for Obstructive Sleep Apnea

JAMA Otolaryngol Head Neck Surg

Kezirian

2016

“…In our previous study on adulthood OSA, reductions in snoring sound intensity and snoring frequency were directly proportional to improvements in apnoea‐hypopnoea index after relocation pharyngoplasty. In the current study, high SSE 801‐1000 Hz (>21.9 dB) was related to severe OSA, and low SSE 801‐1000 Hz (<8.5 dB) was related to surgical success in childhood OSA.…”

Section: Discussionmentioning

confidence: 81%

“…In other words, patients with high SSE of 801‐1000 Hz had a higher chance of surgical non‐success. Therefore, this non‐contact, non‐invasive, inexpensive technology of snoring sound analysis may have the potential to be a promising tool to screen for severe OSA in children, predict surgical success, and monitor surgical response as in our previous studies on adults with OSA …”

Section: Discussionmentioning

confidence: 97%

Snoring sound energy as a potential biomarker for disease severity and surgical response in childhood obstructive sleep apnoea: A pilot study

Clinical Otolaryngology

et al. 2018

Objective To investigate the relationship between baseline snoring sound energy (SSE) and disease severity, changes in SSE after adenotonsillectomy, and the predictors of surgical success in children with obstructive sleep apnoea (OSA). Design Prospective cohort study. Setting Tertiary referral medical centre. Participants Thirty‐two children with OSA whose apnoea‐hypopnoea index ≥5 or apnoea‐hypopnoea index ≥1.5 with OSA comorbidities were recruited. Patients with complicated OSA were excluded. All participants underwent snoring sound analysis, polysomnography, and adenotonsillectomy. Main outcome measures Snoring sound energy and apnoea‐hypopnoea index were assessed at baseline and 6 months after adenotonsillectomy. Surgical success was defined as a postoperative apnoea‐hypopnoea index <1.5. Results The median age, body mass index, and apnoea‐hypopnoea index was 9 years, 19.0 kg/m2, and 13.2 events/h, respectively. Multivariate logistic regression showed that a baseline tonsil size of IV (odds ratio 15.7 [95% CI: 1.5‐166.3]) and SSE of 801‐1000 Hz > 21.9 dB (odds ratio 32.3 [95% CI: 2.6‐396.6]) were significantly related to severe OSA. Following adenotonsillectomy, apnoea‐hypopnoea index decreased significantly (P < 0.001). SSE of 41‐200 Hz, 201‐400 Hz and 801‐1000 Hz also decreased significantly (P = 0.04, 0.01 and 0.006, respectively). Baseline SSE of 801‐1000 Hz < 8.5 dB significantly predicted surgical success (odds ratio 11.0 [95% CI: 1.4‐85.2]). Conclusions Our findings suggest the potential utility of SSE of 801‐1000 Hz to screen for severe OSA, predict surgical success and assess therapeutic outcomes. Specific baseline SSE may represent a potential biomarker for childhood OSA.