Influence of obstructive sleep apnea on auditory event-related potentials

Pedreño, Raquel Meirelles; Matsumura, Erika; Silva, Liliane Aparecida Fagundes; Samelli, Alessandra Giannella; Magliaro, Fernanda Cristina Leite; Sanches, Seisse Gabriela Gandolfi; Lobo, Ivone Ferreira Neves; Lorenzi‐Filho, Geraldo; Carvallo, Renata Mota Mamede; Matas, Carla Gentile

doi:10.1007/s11325-021-02406-z

Cited by 7 publications

(2 citation statements)

References 29 publications

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“…The agreement of study selection between reviewers was demonstrated as a kappa coefficient of 0.79. Subsequently, 20 were excluded for the following reasons: 4 for lacking polysomnographic evaluations, 13,15-17 2 for lacking audiometric assessments, 18,19 1 for pediatric involvement, 20 3 for irrelevance, [21][22][23] and 10 for not being original studies. [24][25][26][27][28][29][30][31][32][33] Eventually, 7 studies remained for qualitative evaluation, and 13 were available for quantitative evaluation.…”

Section: Study Selectionmentioning

confidence: 99%

Obstructive Sleep Apnea and Sensorineural Hearing Loss: A Systematic Review and Meta‐analysis

Kasemsuk

Chayopasakul

Banhiran

et al. 2022

Otolaryngol.--head neck surg.

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Objectives To evaluate the associations between obstructive sleep apnea (OSA) and sensorineural hearing loss (SNHL) and the effects of continuous positive airway pressure (CPAP) therapy on SNHL. Data Sources Ovid Medline, Embase, and Scopus databases. Review Methods A systematic search was done for studies investigating relationships between OSA and SNHL in adults, with manual searches for additional references. The final update was done on December 22, 2021. The Risk of Bias Assessment Tool for Nonrandomized Studies was applied for quality assessments. Results The 20 included studies had a total of 34,442 participants (66% male; mean age, 46.6 years). The OSA group had a significantly worse mean hearing threshold level (HTL) than the control group for midfrequency ranges (500, 1000, 2000 Hz; mean difference, 4.00 dB; 95% CI, 2.40-5.61) and high-frequency ranges (4000, 8000 Hz; mean difference, 6.24 dB; 95% CI, 2.99-9.49). An association between OSA and SNHL was found. When compared with controls, patients with OSA had an odds ratio of 1.52 (95% CI, 1.12-2.06) for midfrequency hearing impairment and 1.19 (95% CI, 1.05-1.34) for high-frequency hearing impairment. However, we did not find significant improvements in midfrequency HTL after CPAP therapy. Conclusions HTL was significantly poorer among participants with OSA (especially in severe cases) than non-OSA controls. Studies on patients with OSA with SNHL treated with CPAP did not show significant improvements in midfrequency HTL. Further studies are warranted on these issues.

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Section: Study Selectionmentioning

confidence: 99%

Obstructive Sleep Apnea and Sensorineural Hearing Loss: A Systematic Review and Meta‐analysis

Kasemsuk

Chayopasakul

Banhiran

et al. 2022

Otolaryngol.--head neck surg.

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“…10 Pedreño et al demonstrated that severe OSA impairs the latency of auditory event-related potentials because of the increased latency of the P300 component of tone burst stimuli in patients with severe OSA compared to patients with non-OSA or mild and moderate OSA, which implies a decreased speed of sound information processing in patients with severe OSA. 11 Therefore, it is advisable to be more sensitive to patients with suspected severe OSA during clinical treatment, and early diagnosis and intervention can minimize their disability and mortality rates.…”

Section: Introductionmentioning

confidence: 99%

A Prediction Nomogram for Severe Obstructive Sleep Apnea in Snoring Patients: A Retrospective Study

Tang¹,

Zhang²,

Zhou³

et al. 2023

NSS

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Snoring patients, as a high-risk group for OSA, are prone to the combination of severe OSA and face serious health threats. The aim of our study was to develop and validate a nomogram to predict the occurrence of severe OSA in snorers, in order to improve the diagnosis rate and treatment rate in this population. Patients and Methods:A training cohort of 464 snoring patients treated at our institution from May 2021 to October 2022 was divided into severe OSA and non-severe OSA groups. Univariate and multivariate logistic regression were used to identify potential predictors of severe OSA, and a nomogram model was constructed. An external hospital cohort of 210 patients was utilized as an external validation cohort to test the model. Area under the receiver operating characteristic curve, calibration curve, and decision curve analyses were used to assess the discriminatory power, calibration, and clinical utility of the nomogram, respectively. Results: Multivariate logistic regression demonstrated that body mass index, Epworth Sleepiness Scale total score, smoking history, morning dry mouth, dream recall, and hypertension were independent predictors of severe OSA. The area under the curve (AUC) of the nomogram constructed from the above six factors is 0.820 (95% CI: 0.782-0.857). The Hosmer-Lemeshow test showed that the model had a good fit (P = 0.972). Both the calibration curve and decision curve of the nomogram demonstrated the corresponding dominance. Moreover, external validation further confirmed the reliability of the predicted nomograms (AUC=0.805, 95% CI: 0.748-0.862). Conclusion:A nomogram predicting the occurrence of severe OSA in snoring patients was constructed and validated with external data for the first time, and the findings all confirmed the validity of the model. This may help to improve existing clinical decision making, especially at institutions that do not yet have devices for diagnosing OSA.

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