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单侧耳聋中的骨锚定装置。

Bone-anchored devices in single-sided deafness.

作者信息

Stewart C M, Clark J H, Niparko J K

出版信息

Adv Otorhinolaryngol. 2011;71:92-102. doi: 10.1159/000323589. Epub 2011 Mar 8.

Abstract

Single sided deafness (SSD) implies sensorineural hearing loss in one ear with normal contralateral hearing function. Traditionally, SSD patients have been overlooked due to a belief that the preserved functioning of the contralateral ear compensates for the nonhearing side. SSD patients however experience multiple audiological difficulties, particularly when the sound source is situated on the non-hearing side or in the presence of competing sounds. Through reviewing current literature, we describe the role of bone-anchored devices (Baha) in the management of SSD patients. Recent publications for Baha in SSD have demonstrated consistent objective and subjective improvement in audiologic metrics when compared to unaided conditions. There is also evidence of benefit provided by Baha by the Abbreviated Profile of Hearing Aid Benefit, in global measures of ease of communication, reverberation, and background noise, but not typically in aversiveness to sounds. Interestingly, despite some patients gaining minimal objective or subjective benefits, the majority of these patients still report improved quality of life and would recommend the procedure. Despite increasing evidence for the role of Baha in the management of SSD in the literature, much of these data are based on older technology. Further reports should specify the processor type used and the etiology of the hearing loss to ensure accuracy of future data.

摘要

单侧耳聋(SSD)指一侧耳朵存在感音神经性听力损失,而对侧耳朵听力功能正常。传统上,SSD患者一直被忽视,因为人们认为对侧耳朵保留的功能可补偿听力丧失的一侧。然而,SSD患者会遇到多种听力学方面的困难,尤其是当声源位于听力丧失一侧或存在竞争性声音时。通过回顾当前文献,我们描述了骨锚式助听器(Baha)在SSD患者管理中的作用。与未佩戴辅助设备的情况相比,近期关于Baha用于SSD的出版物表明,听力学指标在客观和主观方面都有持续改善。还有证据表明,根据助听器效益简表,Baha在沟通便利性、混响和背景噪声等整体衡量指标方面有好处,但在对声音的厌恶程度方面通常没有。有趣的是,尽管一些患者在客观或主观上获益甚微,但这些患者中的大多数仍报告生活质量有所改善,并会推荐该手术。尽管文献中越来越多的证据表明Baha在SSD管理中的作用,但这些数据大多基于较旧的技术。未来的报告应明确所用处理器的类型以及听力损失的病因,以确保未来数据的准确性。

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