Literature DB >> 33928924

Improved Sensitivity of Digits-in-Noise Test to High-Frequency Hearing Loss.

Lina Motlagh Zadeh1,2, Noah H Silbert2, De Wet Swanepoel3, David R Moore1,4,5.   

Abstract

OBJECTIVES: Hearing loss is most commonly observed at high frequencies. High-frequency hearing loss (HFHL) precedes and predicts hearing loss at lower frequencies. It was previously shown that an automated, self-administered digits-in-noise (DIN) test can be sensitized for detection of HFHL by low-pass filtering the speech-shaped masking noise at 1.5 kHz. This study was designed to investigate whether sensitivity of the DIN to HFHL can be enhanced further using low-pass noise filters with higher cutoff frequencies.
DESIGN: The US-English digits 0 to 9, homogenized for audibility, were binaurally presented in different noise maskers including one broadband and three low-pass (cutoff at 2, 4, and 8 kHz) filtered speech-shaped noises. DIN-speech reception thresholds (SRTs) were obtained from 60 normal hearing (NH), and 40 mildly hearing impaired listeners with bilateral symmetric sensorineural hearing loss. Standard and extended high-frequency audiometric pure-tone averages (PTAs) were compared with the DIN-SRTs.
RESULTS: Narrower masking noise bandwidth generally produced better (more sensitive) mean DIN-SRTs. There were strong and significant correlations between SRT and PTA in the hearing impaired group. Lower frequency PTALF 0.5,1, 2, 4 kHz had the highest correlation and the steepest slope with SRTs obtained from the 2-kHz filter. Higher frequency PTAHF 4,8,10,12.5 kHz correlated best with SRTs obtained from 4- and 8-kHz filtered noise. The 4-kHz low-pass filter also had the highest sensitivity (92%) and equally highest (with the 8-kHz filter) specificity (90%) for detecting an average PTAHF of 20 dB or more.
CONCLUSIONS: Of the filters used, DIN sensitivity to higher frequency hearing loss was greatest using the 4-kHz low-pass filter. These results suggest that low-pass filtered noise may be usefully substituted for broadband noise to improve earlier detection of HFHL using DIN.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33928924      PMCID: PMC8087866          DOI: 10.1097/AUD.0000000000000956

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


  45 in total

1.  Extended high-frequency audiometry (9,000-20,000 Hz). Usefulness in audiological diagnosis.

Authors:  Antonio Rodríguez Valiente; Amaya Roldán Fidalgo; Ithzel M Villarreal; José R García Berrocal
Journal:  Acta Otorrinolaringol Esp       Date:  2015-05-27

2.  Phoneme categorization relying solely on high-frequency energy.

Authors:  A Davi Vitela; Brian B Monson; Andrew J Lotto
Journal:  J Acoust Soc Am       Date:  2015-01       Impact factor: 1.840

3.  The digits-in-noise test: assessing auditory speech recognition abilities in noise.

Authors:  Cas Smits; S Theo Goverts; Joost M Festen
Journal:  J Acoust Soc Am       Date:  2013-03       Impact factor: 1.840

4.  Validation of a Computer-Administered Version of the Digits-in-Noise Test for Hearing Screening in the United States.

Authors:  Robert L Folmer; Jay Vachhani; Garnett P McMillan; Charles Watson; Gary R Kidd; M Patrick Feeney
Journal:  J Am Acad Audiol       Date:  2017-02       Impact factor: 1.664

5.  Early changes in auditory function as a result of platinum chemotherapy: use of extended high-frequency audiometry and evoked distortion product otoacoustic emissions.

Authors:  Kristin R Knight; Dale F Kraemer; Christiane Winter; Edward A Neuwelt
Journal:  J Clin Oncol       Date:  2007-04-01       Impact factor: 44.544

6.  Extended high-frequency hearing enhances speech perception in noise.

Authors:  Lina Motlagh Zadeh; Noah H Silbert; Katherine Sternasty; De Wet Swanepoel; Lisa L Hunter; David R Moore
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-04       Impact factor: 11.205

7.  Speech reception thresholds in noise and self-reported hearing disability in a general adult population.

Authors:  Cas Smits; Sophia E Kramer; Tammo Houtgast
Journal:  Ear Hear       Date:  2006-10       Impact factor: 3.570

8.  Auditory sensitivity in school-age children.

Authors:  S E Trehub; B A Schneider; B A Morrongiello; L A Thorpe
Journal:  J Exp Child Psychol       Date:  1988-10

Review 9.  Noise-induced and age-related hearing loss:  new perspectives and potential therapies.

Authors:  M Charles Liberman
Journal:  F1000Res       Date:  2017-06-16

10.  FreeHear: A New Sound-Field Speech-in-Babble Hearing Assessment Tool.

Authors:  David R Moore; Helen Whiston; Melanie Lough; Antonia Marsden; Harvey Dillon; Kevin J Munro; Michael A Stone
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

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  1 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
  1 in total

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