Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina.
Otol Neurotol. 2022 Feb 1;43(2):e165-e173. doi: 10.1097/MAO.0000000000003417.
Assess associations between postcochlear implant (CI) auditory training and early outcomes related to speech recognition and CI quality of life (CIQOL).
Longitudinal, prospective cohort.
Tertiary academic center.
Seventy-two adults undergoing cochlear implantation for bilateral severe-to-profound hearing loss.
Self-reported use of three categories of auditory training post-CI activation: (1) face-to-face training (e.g., speech pathologist), (2) passive home-based training (e.g., listening to audiobooks), and (3) computer-based training (e.g., interactive software).
Change in Consonant-Nucleus-Consonant phoneme (CNCp), CNC word (CNCw), AzBio sentences in quiet, and CIQOL-35 Profile global and domain scores from pre-CI to 3-month post-CI.
Of 72 patients, 52 (72.2%) used an auditory training resource. Of all patients, 18.4% used face-to-face training, 58.3% passive home-based training, and 33.3% computer-based training. At 3 months post-CI, use of any training was associated with greater improvement in speech recognition (d-range = 0.57-0.85) and global and domain-specific CIQOL scores, except entertainment (d-range = -0.33 to 0.77). Use of computer-based training demonstrated the greatest effect, with larger improvements in speech recognition (CNCp: d = 0.69[0.03,1.35]; CNCw: d = 0.80[0.14,1.46]; AzBio: d = 1.11[0.44,1.77]) and global and all domain-specific CIQOL scores (d-range = 0.05-1.35). Controlling for age, sex, household income, and use of multiple training resources, computer-based training remained the strongest positive predictor of speech recognition and CIQOL improvement, with significant associations with CNCp (ß = 33.07[1,43,64.719]), AzBio (ß = 33.03[5.71,60.35]), and CIQOL-global (ß = 10.92[1.15,20.70]) score improvement.
Our findings provide preliminary evidence-based recommendations for use of specific auditory training resources for new adult CI recipients. Auditory training, especially self-directed computer software, resulted in improved speech recognition and CIQOL outcomes after 3 months and are widely available for CI users.
评估人工耳蜗植入(CI)后听觉训练与与言语识别和人工耳蜗生活质量(CIQOL)相关的早期结果之间的关联。
纵向、前瞻性队列研究。
三级学术中心。
72 名双侧重度至极重度听力损失患者接受人工耳蜗植入。
在人工耳蜗激活后报告使用三种类型的听觉训练:(1)面对面培训(例如,言语病理学家),(2)被动家庭培训(例如,听有声读物),(3)基于计算机的培训(例如,交互式软件)。
辅音-核-辅音音素(CNCp)、辅音-核-辅音单词(CNCw)、安静时的 AzBio 句子以及 CIQOL-35 简档全球和域得分的变化,从植入前到植入后 3 个月。
在 72 名患者中,有 52 名(72.2%)使用了听觉训练资源。在所有患者中,18.4%使用面对面培训,58.3%使用被动家庭培训,33.3%使用基于计算机的培训。在人工耳蜗植入后 3 个月,使用任何培训都与言语识别(d 范围=0.57-0.85)和全球和特定领域 CIQOL 评分的更大改善相关,除了娱乐(d 范围=-0.33 至 0.77)。基于计算机的培训的使用效果最大,言语识别(CNCp:d=0.69[0.03,1.35];CNCw:d=0.80[0.14,1.46];AzBio:d=1.11[0.44,1.77])和全球和所有特定领域 CIQOL 评分的改善更大(d 范围=0.05-1.35)。控制年龄、性别、家庭收入和使用多种培训资源后,基于计算机的培训仍然是言语识别和 CIQOL 改善的最强积极预测因素,与 CNCp(β=33.07[1,43,64.719])、AzBio(β=33.03[5.71,60.35])和 CIQOL-global(β=10.92[1.15,20.70])评分改善显著相关。
我们的发现为新的成年人工耳蜗植入患者提供了基于证据的听觉训练资源使用建议。听觉训练,特别是自我指导的计算机软件,在植入后 3 个月内可改善言语识别和 CIQOL 结果,并且广泛适用于人工耳蜗使用者。