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个性化单侧耳聋的人工耳蜗护理:与双侧听力损失不同的范例

Personalizing Cochlear Implant Care in Single-Sided Deafness: A Distinct Paradigm from Bilateral Hearing Loss.

作者信息

Lin Emmeline Y, Younan Stephanie M, Barrett Karen C, Jiam Nicole T

机构信息

Department of Head and Neck Surgery, University of California, San Francisco, CA 94143, USA.

Institute for Health and Aging, University of California, San Francisco, CA 94143, USA.

出版信息

J Pers Med. 2025 Sep 15;15(9):439. doi: 10.3390/jpm15090439.

Abstract

Cochlear implants (CIs) serve diverse populations with hearing loss, but patients with single-sided deafness (SSD) often show lower post-implantation usage and satisfaction than bilateral CI users. This disparity may stem from their normal contralateral ear providing sufficient auditory input for many daily situations, reducing the perceived need for consistent CI use. Consequently, uniform screening and evaluations, typically designed for bilateral hearing loss, often fail to address SSD's unique needs. This narrative review synthesizes the current literature to explore patient and device factors shaping CI integration, outcomes, and experience in SSD. It highlights implications for developing personalized care strategies distinct from those used in bilateral hearing loss. SSD patients face unique challenges: reliance on compensatory behaviors and significant auditory processing difficulties like acoustic-electric mismatch and place-pitch discrepancy. Anatomical factors and deafness of duration also impact outcomes. Traditional measures are often insufficient due to ceiling effects. Music perception offers a sensitive metric and rehabilitation tool, while big data and machine learning show promise for predicting outcomes and tailoring interventions. Optimizing CI care for SSD necessitates a personalized approach across candidacy, counseling, and rehabilitation. Tailored strategies, including individualized frequency mapping, adaptive auditory training, advanced outcome metrics like music perception, and leveraging big data for precise, data-driven predictions, are crucial for improving consistent CI usage and overall patient satisfaction.

摘要

人工耳蜗(CI)为不同的听力损失人群服务,但单侧耳聋(SSD)患者植入后的使用情况和满意度通常低于双侧人工耳蜗使用者。这种差异可能源于他们正常的对侧耳在许多日常情况下能提供足够的听觉输入,从而降低了持续使用人工耳蜗的感知需求。因此,通常为双侧听力损失设计的统一筛查和评估往往无法满足SSD的独特需求。这篇叙述性综述综合了当前的文献,以探讨影响SSD患者人工耳蜗植入、效果及体验的患者和设备因素。它强调了制定有别于双侧听力损失所用策略的个性化护理策略的意义。SSD患者面临着独特的挑战:依赖补偿行为以及诸如声电不匹配和位置 - 音高差异等重大听觉处理困难。解剖因素和耳聋持续时间也会影响效果。由于天花板效应,传统测量方法往往不够充分。音乐感知提供了一个敏感的指标和康复工具,而大数据和机器学习在预测效果和定制干预方面显示出前景。为SSD优化人工耳蜗护理需要在候选资格评估、咨询和康复方面采取个性化方法。量身定制的策略,包括个性化频率映射、适应性听觉训练、诸如音乐感知等先进的效果指标以及利用大数据进行精确的数据驱动预测,对于提高人工耳蜗的持续使用和患者总体满意度至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb1a/12471390/cb1187486a61/jpm-15-00439-g001.jpg

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