Literature DB >> 29557842

AzBio Speech Understanding Performance in Quiet and Noise in High Performing Cochlear Implant Users.

Jason A Brant1, Steven J Eliades1, Hannah Kaufman1, Jinbo Chen2, Michael J Ruckenstein1.   

Abstract

OBJECTIVE: To evaluate high-performing cochlear implant patients' performance on AzBio sentence testing.
METHODS: Retrospective review of prospectively collected database at a tertiary care hospital. Unilateral cochlear implant patients with AzBio testing were included. The primary outcome of interest was AzBio performance scores in quiet and at +10 and +5 decibels signal to noise (dB S/N).
RESULTS: One hundred eighty five subjects met inclusion criteria with scores for AzBio in quiet, 114 at +10 dB S/N, and 66 at +5 dB S/N. Linear mixed effects models showed performance significantly correlated with time since activation in all conditions (8.4%/yr; p < 0.0001). Strong correlations between mean performance in quiet and at +10 dB S/N (r = 0.77, p < 0.0001), and between +10 and +5 dB S/N (r = 0.73, p < 0.0001) were found. The correlation between quiet and +5 dB S/N (r = 0.45, p = 0.01) was less robust. Shapiro-Wilks test of normality found only +10 dB S/N to correspond to a normal distribution. Skew analysis demonstrated values of -0.64, -0.11, and 0.8 for quiet, +10 dB S/N, and +5 dB S/N, respectively.
CONCLUSIONS: AzBio scores at +10 dB S/N show a strong correlation with, but avoid the ceiling effects that limit the usefulness of testing in quiet for high performing cochlear implant users, making it the preferred test in this population. Significant complexities exist in the study of outcomes in cochlear implant recipients, and there is no single test that is ideal for the entirety of this population.

Entities:  

Mesh:

Year:  2018        PMID: 29557842     DOI: 10.1097/MAO.0000000000001765

Source DB:  PubMed          Journal:  Otol Neurotol        ISSN: 1531-7129            Impact factor:   2.311


  6 in total

1.  Frequency change detection and speech perception in cochlear implant users.

Authors:  Fawen Zhang; Gabrielle Underwood; Kelli McGuire; Chun Liang; David R Moore; Qian-Jie Fu
Journal:  Hear Res       Date:  2019-04-17       Impact factor: 3.208

2.  Speech Recognition in Noise for Adults With Normal Hearing: Age-Normative Performance for AzBio, BKB-SIN, and QuickSIN.

Authors:  Jourdan T Holder; Laura M Levin; René H Gifford
Journal:  Otol Neurotol       Date:  2018-12       Impact factor: 2.311

3.  Using the electrically-evoked compound action potential (ECAP) interphase gap effect to select electrode stimulation sites in cochlear implant users.

Authors:  Kara C Schvartz-Leyzac; Teresa A Zwolan; Bryan E Pfingst
Journal:  Hear Res       Date:  2021-04-28       Impact factor: 3.672

4.  Do Patients Benefit From a Cochlear Implant When They Qualify Only in the Presence of Background Noise?

Authors:  Emily M H Lundberg; Darcy Strong; Melinda Anderson; Alexander M Kaizer; Samuel Gubbels
Journal:  Otol Neurotol       Date:  2021-02-01       Impact factor: 2.619

5.  Speech intelligibility and auditory perception of pre-school children with Hearing Aid, cochlear implant and Typical Hearing.

Authors:  Mohammad Ashori
Journal:  J Otol       Date:  2019-11-15

6.  The Effect of Age, Type of Noise, and Cochlear Implants on Adaptive Sentence-in-Noise Task.

Authors:  Riki Taitelbaum-Swead; Leah Fostick
Journal:  J Clin Med       Date:  2022-10-04       Impact factor: 4.964

  6 in total

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