Literature DB >> 32609044

Pure-tone audiometry without bone-conduction thresholds: using the digits-in-noise test to detect conductive hearing loss.

Karina C De Sousa1, Cas Smits2, David R Moore3,4, Hermanus Carel Myburgh5, De Wet Swanepoel1,6.   

Abstract

Objective: COVID-19 has been prohibitive to traditional audiological services. No- or low-touch audiological assessment outside a sound-booth precludes test batteries including bone conduction audiometry. This study investigated whether conductive hearing loss (CHL) can be differentiated from sensorineural hearing loss (SNHL) using pure-tone air conduction audiometry and a digits-in-noise (DIN) test.Design: A retrospective sample was analysed using binomial logistic regressions, which determined the effects of pure tone thresholds or averages, speech recognition threshold (SRT), and age on the likelihood that participants had CHL or bilateral SNHL.Study sample: Data of 158 adults with bilateral SNHL (n = 122; PTA0.5-4 kHz > 25 dB HL bilaterally) or CHL (n = 36; air conduction PTA0.5-4 kHz > 25 dB HL and ≥20 dB air bone gap in the affected ears) were included.
Results: The model which best discriminated between CHL and bilateral SNHL used low-frequency pure-tone average (PTA), diotic DIN SRT, and age with an area under the ROC curve of 0.98 and sensitivity and specificity of 97.2 and 93.4%, respectively.
Conclusion: CHL can be accurately distinguished from SNHL using pure-tone air conduction audiometry and a diotic DIN. Restrictions on traditional audiological assessment due to COVID-19 require lower touch audiological care which reduces infection risk.

Entities:  

Keywords:  COVID-19; audiometry; coronavirus; digits-in-noise; speech recognition threshold; speech-in-noise

Mesh:

Year:  2020        PMID: 32609044     DOI: 10.1080/14992027.2020.1783585

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  7 in total

1.  Remote self-report and speech-in-noise measures predict clinical audiometric thresholds.

Authors:  Lina Motlagh Zadeh; Veronica Brennan; De Wet Swanepoel; Li Lin; David R Moore
Journal:  medRxiv       Date:  2022-07-07

2.  Diotic and Antiphasic Digits-in-noise Testing as a Hearing Screening and Triage Tool to Classify Type of Hearing Loss.

Authors:  Karina C De Sousa; Cas Smits; David R Moore; Hermanus C Myburgh; De Wet Swanepoel
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

3.  COVID-19 and Sudden Sensorineural Hearing Loss: A Systematic Review.

Authors:  Xiangming Meng; Jing Wang; Jian Sun; Kangxu Zhu
Journal:  Front Neurol       Date:  2022-04-28       Impact factor: 4.003

4.  Efficacy of Mesotympanum Injection and Posterior Auricular Injection in Sudden Hearing Loss of Diabetes Patients.

Authors:  Qiang Liu; HuiFang Wang; JiHuan Xing
Journal:  Biomed Res Int       Date:  2022-07-19       Impact factor: 3.246

5.  Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age.

Authors:  Jan-Willem A Wasmann; Cris P Lanting; Wendy J Huinck; Emmanuel A M Mylanus; Jeroen W M van der Laak; Paul J Govaerts; De Wet Swanepoel; David R Moore; Dennis L Barbour
Journal:  Ear Hear       Date:  2021 Nov-Dec 01       Impact factor: 3.570

6.  Reward Enhances Online Participants' Engagement With a Demanding Auditory Task.

Authors:  Roberta Bianco; Gordon Mills; Mathilde de Kerangal; Stuart Rosen; Maria Chait
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

7.  COVID-19 caused hearing loss.

Authors:  Milisavljevic Dusan; Stankovic Milan; Dordevic Nikola
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-07-08       Impact factor: 3.236

  7 in total

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