Department of Otolaryngology- Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
Audiol Neurootol. 2024;29(4):263-270. doi: 10.1159/000535058. Epub 2024 Feb 9.
Optimal cochlear implant (CI) outcomes are due to, at least in part, appropriate device programming. Objective measures, such as electrically evoked stapedial reflex thresholds (ESRTs), can be used to more accurately set programming levels. However, underlying factors that contribute to ESRT levels are not well understood. The objective of the current study was to analyze how demographic variables of patient sex and age, along with CI electrode location, influence ESRTs in adult CI recipients.
A single institution retrospective review was performed. Electronic medical records, CI programming records, and clinic database of postoperative computerized tomography were reviewed to gather information regarding patient demographics, ESRTs, and electrode array metrics including medial-lateral distance and scalar location. Linear mixed models were constructed to determine how demographic variables and electrode position influence ESRTs recorded in 138 adult CI recipients.
ESRTs were significantly affected by recipient age, with older listeners demonstrating higher ESRT levels. On average, males had higher ESRT levels when compared to females. In a subset of the study sample, ESRT levels increased with increasing medial-lateral distance; however, there was not a statistically significant effect of electrode type (lateral/straight arrays compared to perimodiolar arrays). ESRTs were not affected by scalar location.
DISCUSSION/CONCLUSIONS: The results suggest that key demographic and electrode position characteristics influence the level of ESRTs in adult CI recipients. While ESRTs are widely used to assist with CI programming, underlying factors are not well understood. The significant factors of aging and sex could be due to middle ear mechanics or neural health differences. However, further data are needed to better understand these associations.
最佳的人工耳蜗(CI)效果至少部分归因于适当的设备编程。客观测量,如电诱发镫骨肌反射阈值(ESRT),可用于更准确地设置编程水平。然而,导致 ESRT 水平的潜在因素尚未得到很好的理解。本研究的目的是分析患者性别和年龄等人口统计学变量以及 CI 电极位置如何影响成年 CI 接受者的 ESRT。
进行了一项单机构回顾性研究。回顾了电子病历、CI 编程记录和术后计算机断层扫描的诊所数据库,以收集有关患者人口统计学、ESRT 和电极阵列指标(包括内侧-外侧距离和标度位置)的信息。构建线性混合模型,以确定人口统计学变量和电极位置如何影响 138 名成年 CI 接受者记录的 ESRT。
ESRT 受受者年龄的显著影响,年龄较大的听众表现出更高的 ESRT 水平。平均而言,男性的 ESRT 水平高于女性。在研究样本的一部分中,ESRT 水平随内侧-外侧距离的增加而增加;然而,电极类型(外侧/直数组与peri 模式数组)没有统计学上的显著影响。ESRT 不受标度位置的影响。
讨论/结论:结果表明,关键的人口统计学和电极位置特征影响成年 CI 接受者的 ESRT 水平。虽然 ESRT 广泛用于辅助 CI 编程,但潜在因素尚未得到很好的理解。年龄和性别的显著因素可能归因于中耳力学或神经健康差异。然而,需要进一步的数据来更好地理解这些关联。