Literature DB >> 34799493

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

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

Abstract

OBJECTIVES: The digits-in-noise test (DIN) is a popular self-test measure that has traditionally been used to screen for hearing loss by providing either a pass or refer result. Standard approaches either tested each ear monaurally or used a binaural diotic version where identical digits and noise were presented simultaneously to both ears. Recently, a dichotic, antiphasic version was developed, increasing sensitivity of the DIN to unilateral or asymmetric sensorineural hearing loss (SNHL) and conductive hearing loss (CHL). The purpose of this study was to determine predictors and normative ranges of the antiphasic and diotic DIN and to determine if a combination of diotic and antiphasic DIN could accurately categorize hearing into (1) normal, (2) bilateral SNHL, or (3) unilateral SNHL or CHL.
DESIGN: The analytical sample consisted of 489 participants between the ages of 18 and 92 years with varying types, symmetry, and degrees of hearing loss. Degree and type of hearing loss were determined based on standard clinical four-frequency (0.5-4 kHz) pure-tone air and bone conduction threshold averages. The sample consisted of bilateral normal hearing (n = 293), bilateral SNHL (n = 172), unilateral SNHL (n = 42), and CHL (n = 32). All participants (n = 489) first completed an antiphasic DIN (digit stimuli 180° out-of-phase between ears), while 393 of the sample also completed a diotic DIN. Two procedures were assessed for their ability to categorize hearing into one of the three hearing groups. The first used a fixed antiphasic cutoff combined with a cutoff formed by a linear combination of antiphasic and diotic speech recognition threshold (SRT) or binaural intelligibility-level difference.
RESULTS: Poorer ear pure-tone average was the strongest predictor of antiphasic DIN score, whereas better ear pure-tone average explained more of the variance in diotic SRT. The antiphasic DIN sensitivity and specificity was 90% and 84%, respectively, for detecting hearing loss, with outstanding area under the receiver operating characteristics values exceeding 0.93 to identify hearing loss in the poorer ear. The first fixed SRT cutoff procedure could categorize 75% of all participants correctly, while the second procedure increased correct categorization to 79%. False negative rates for both procedures were below 10%.
CONCLUSIONS: A sequential antiphasic and diotic DIN could categorize hearing to a reasonable degree into three groups of (1) normal hearing; (2) bilateral SNHL; and (3) unilateral asymmetric SNHL or CHL. This type of approach could optimize care pathways using remote and contactless testing, by identifying unilateral SNHL and CHL as cases requiring medical referral. In contrast, bilateral SNHL cases could be referred directly to an audiologist, or nontraditional models like OTC hearing aids.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Mesh:

Year:  2022        PMID: 34799493      PMCID: PMC9010337          DOI: 10.1097/AUD.0000000000001160

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.562


  48 in total

1.  Relating binaural pitch perception to the individual listener's auditory profile.

Authors:  Sébastien Santurette; Torsten Dau
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

2.  Effects of coarticulation, prosody, and noise freshness on the intelligibility of digit triplets in noise.

Authors:  Johannes Lyzenga; Cas Smits
Journal:  J Am Acad Audiol       Date:  2011-04       Impact factor: 1.664

3.  The South African English Smartphone Digits-in-Noise Hearing Test: Effect of Age, Hearing Loss, and Speaking Competence.

Authors:  Jenni-Marí Potgieter; De Wet Swanepoel; Hermanus Carel Myburgh; Cas Smits
Journal:  Ear Hear       Date:  2018 Jul/Aug       Impact factor: 3.570

4.  Improving the reliability of testing the speech reception threshold for sentences.

Authors:  R Plomp; A M Mimpen
Journal:  Audiology       Date:  1979 Jan-Feb

5.  Factors associated with developing cholesteatoma: a study of 45,980 children with middle ear disease.

Authors:  Katrina Spilsbury; Ian Miller; James B Semmens; Francis J Lannigan
Journal:  Laryngoscope       Date:  2010-03       Impact factor: 3.325

6.  Binaural temporal fine structure sensitivity, cognitive function, and spatial speech recognition of hearing-impaired listeners (L).

Authors:  Tobias Neher; Thomas Lunner; Kathryn Hopkins; Brian C J Moore
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

7.  Development and validation of a digits-in-noise hearing test in Persian.

Authors:  Lina Motlagh Zadeh; Noah H Silbert; Katherine Sternasty; David R Moore
Journal:  Int J Audiol       Date:  2020-09-09       Impact factor: 2.117

8.  Mobile applications to detect hearing impairment: opportunities and challenges.

Authors:  De Wet Swanepoel; Karina C De Sousa; Cas Smits; David R Moore
Journal:  Bull World Health Organ       Date:  2019-09-03       Impact factor: 9.408

9.  Speech Recognition Abilities in Normal-Hearing Children 4 to 12 Years of Age in Stationary and Interrupted Noise.

Authors:  Wiepke J A Koopmans; S Theo Goverts; Cas Smits
Journal:  Ear Hear       Date:  2018 Nov/Dec       Impact factor: 3.570

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  1 in total

1.  Editorial: Digital hearing healthcare.

Authors:  Qinglin Meng; Jing Chen; Changxin Zhang; Jan-Willem A Wasmann; Dennis L Barbour; Fan-Gang Zeng
Journal:  Front Digit Health       Date:  2022-07-13
  1 in total

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