Literature DB >> 18316665

Predominance of genetic diagnosis and imaging results as predictors in determining the speech perception performance outcome after cochlear implantation in children.

Chen-Chi Wu1, Yi-Chin Lee, Pei-Jer Chen, Chuan-Jen Hsu.   

Abstract

OBJECTIVE: To investigate the roles of genetic diagnosis and imaging studies, as well as other prognostic factors, in predicting outcomes in children with cochlear implant.
DESIGN: Prospective cohort study.
SETTING: Tertiary referral center. PARTICIPANTS: Sixty-seven consecutive children with sensorineural hearing impairment who had at least 3 years of experience with cochlear implant.
INTERVENTIONS: Imaging of the inner ear was done with high-resolution computed tomography, and mutations were screened in 3 genes commonly associated with pediatric hearing impairment: GJB2, SLC26A4, and the mitochondrial 12S ribosomal RNA gene. Speech perception performance was compared according to genetic diagnosis and imaging data. A general linear model was constructed to demonstrate the predictive values of specific genetic and imaging results after adjusting for other factors. Main Outcome Measure Recognition scores on speech perception tests.
RESULTS: Twenty-two children (33%) showed genetic mutations: 18 with SLC26A4 and 4 with GJB2 mutations. According to imaging findings, 33 children (49%) showed inner ear malformations: 9 with a narrow internal auditory canal and 24 with other malformations. All children with SLC26A4 or GJB2 mutations exhibited excellent speech recognition scores, whereas a narrow internal auditory canal was associated with poorer outcomes (P < .001 in all recognition scores). The general linear model confirmed that both a narrow internal auditory canal (P < .001) and SLC26A4 mutations (P = .04) correlated with speech perception outcome.
CONCLUSIONS: Genetic diagnosis and imaging results are the 2 predominant factors determining the outcome in children with cochlear implants. In pediatric candidates for cochlear implantation, both genetic examination and imaging studies should be included in the battery of preoperative evaluations.

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Year:  2008        PMID: 18316665     DOI: 10.1001/archpediatrics.2007.59

Source DB:  PubMed          Journal:  Arch Pediatr Adolesc Med        ISSN: 1072-4710


  19 in total

1.  Prediction of cochlear implant performance by genetic mutation: the spiral ganglion hypothesis.

Authors:  Robert W Eppsteiner; A Eliot Shearer; Michael S Hildebrand; Adam P Deluca; Haihong Ji; Camille C Dunn; Elizabeth A Black-Ziegelbein; Thomas L Casavant; Terry A Braun; Todd E Scheetz; Steven E Scherer; Marlan R Hansen; Bruce J Gantz; Richard J H Smith
Journal:  Hear Res       Date:  2012-08-28       Impact factor: 3.208

Review 2.  Diagnostic yield of computed tomography scan for pediatric hearing loss: a systematic review.

Authors:  Jenny X Chen; Bart Kachniarz; Jennifer J Shin
Journal:  Otolaryngol Head Neck Surg       Date:  2014-09-03       Impact factor: 3.497

3.  The effect of GJB2 and SLC26A4 gene mutations on rehabilitative outcomes in pediatric cochlear implant patients.

Authors:  Yu-jun Yan; Yun Li; Tao Yang; Qi Huang; Hao Wu
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-01-08       Impact factor: 2.503

4.  Outcomes of Cochlear Implantation in Patients with Pendred syndrome: A Systematic Review and Narrative Synthesis.

Authors:  Kirsty Biggs; Amy Lovett; Chris Metcalfe; Jameel Muzaffar; Peter Monksfield; Manohar Bance
Journal:  J Int Adv Otol       Date:  2020-12       Impact factor: 1.017

Review 5.  [Personalized medicine in otology. The role of genetic diagnostics in patients with hearing impairment].

Authors:  N Friese; K Braun; M Müller; A Tropitzsch
Journal:  HNO       Date:  2015-06       Impact factor: 1.284

Review 6.  Cochlear implants and spoken language processing abilities: review and assessment of the literature.

Authors:  Nathaniel R Peterson; David B Pisoni; Richard T Miyamoto
Journal:  Restor Neurol Neurosci       Date:  2010       Impact factor: 2.406

7.  Prevalence of DFNB1 mutations among cochlear implant users in Slovakia and its clinical implications.

Authors:  L Varga; I Mašindová; M Hučková; Z Kabátová; D Gašperíková; I Klimeš; M Profant
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-05-23       Impact factor: 2.503

8.  Newborn genetic screening for hearing impairment: a population-based longitudinal study.

Authors:  Chen-Chi Wu; Ching-Hui Tsai; Chia-Cheng Hung; Yin-Hung Lin; Yi-Hsin Lin; Fang-Li Huang; Po-Nien Tsao; Yi-Ning Su; Yungling Leo Lee; Wu-Shiun Hsieh; Chuan-Jen Hsu
Journal:  Genet Med       Date:  2016-06-16       Impact factor: 8.822

9.  Newborn genetic screening for hearing impairment: a preliminary study at a tertiary center.

Authors:  Chen-Chi Wu; Chia-Cheng Hung; Shin-Yu Lin; Wu-Shiun Hsieh; Po-Nien Tsao; Chien-Nan Lee; Yi-Ning Su; Chuan-Jen Hsu
Journal:  PLoS One       Date:  2011-07-19       Impact factor: 3.240

10.  Application of massively parallel sequencing to genetic diagnosis in multiplex families with idiopathic sensorineural hearing impairment.

Authors:  Chen-Chi Wu; Yin-Hung Lin; Ying-Chang Lu; Pei-Jer Chen; Wei-Shiung Yang; Chuan-Jen Hsu; Pei-Lung Chen
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

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