JaLCDOI |
10.18926/AMO/66150
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FullText URL |
77_6_589.pdf
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Author |
Omichi, Ryotaro|
Kariya, Shin|
Maeda, Yukihide|
Fukushima, Kunihiro|
Kataoka, Yuko|
Sugaya, Akiko|
Nishizaki, Kazunori|
Ando, Mizuo|
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Abstract |
Choosing the optimal side for cochlear implantation (CI) remains a major challenge because of the lack of evidence. We investigated the choice of the surgery side for CI (i.e., the better- or poorer-hearing ear) in patients with asymmetric hearing. Audiological records of 74 adults with a unilateral hearing aid who had undergone surgery at Okayama University Hospital were reviewed. The definition of ‘better-hearing ear’ was the aided ear, and the unaided ear was considered the poorer-hearing ear. We performed a multiple regression analysis to identify potential predictors of speech recognition performance after unilateral CI in the patients. Fifty-two patients underwent CI in the poorer-hearing ear. The post-Ci bimodal hearing rate was far higher in the poorer-ear group (77.8% vs. 22.2%). A multivariate analysis revealed that prelingual hearing loss and the patient’s age at CI significantly affected the speech recognition outcome (beta coefficients: 24.6 and −0.33, 95% confidence intervals [11.75-37.45] and [−0.58 to −0.09], respectively), but the CI surgery side did not (−6.76, [−14.92-1.39]). Unilateral CI in the poorer-hearing ear may therefore be a reasonable choice for adult patients with postlingual severe hearing loss, providing a greater opportunity for postoperative bimodal hearing.
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Keywords |
cochlear implantation
poorer hearing ear
better hearing ear
hearing aids
speech recognition
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Amo Type |
Original Article
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Publication Title |
Acta Medica Okayama
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Published Date |
2023-12
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Volume |
volume77
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Issue |
issue6
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Publisher |
Okayama University Medical School
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Start Page |
589
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End Page |
593
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ISSN |
0386-300X
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NCID |
AA00508441
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Content Type |
Journal Article
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language |
English
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Copyright Holders |
Copyright Ⓒ 2023 by Okayama University Medical School
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File Version |
publisher
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Refereed |
True
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PubMed ID |
38145932
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Web of Science KeyUT |
001164631200003
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