Dziemba Oliver C, Brzoska Tina, Ihler Friedrich, Busch Chia-Jung
Klinik und Poliklinik für Hals‑, Nasen‑, Ohrenkrankheiten, Kopf- und Halschirurgie, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Str., 17475, Greifswald, Deutschland.
HNO. 2023 Feb;71(2):83-91. doi: 10.1007/s00106-022-01257-8. Epub 2023 Jan 2.
Calculation of percentage hearing loss (pHV) from the pure-tune audiogram according to Röser in 1973 or from the speech audiogram according to Boenninghaus and Röser in 1973 is a method still applied for quantitative assessment of hearing. However, this is not common for the evaluation of postoperative results of implantable hearing systems. During the regular work-up after cochlear implantation (CI) in Germany, all necessary parameters are available for calculation of pHV either from categorical loudness scaling (pHV) or speech-recognition threshold (pHV).
The parameters pHV and pHV are introduced and calculated from data available from clinical routine. Their potential applicability for assessment of the result of CI is evaluated.
This study comprises retrospective chart review of audiological parameters from 66 CI procedures in one tertiary referral center. pHV was calculated from the equal loudness curve 5 CU, pHV from the Freiburg speech test in free field.
While pHV shows small variation, the variation in pHV is initially larger but decreases over time. Furthermore, starting from initial fitting, the mean pHV shows convergence over time. The difference between pHV and pHV is positive and statistically significant.
It is possible to calculate pHV and pHV from routine data. A correlation of the difference between pHV and pHV with successful CI performance seems plausible.
根据1973年罗泽尔提出的方法,通过纯音听力图计算听力损失百分比(pHV),或者根据1973年博宁豪斯和罗泽尔提出的方法,通过言语听力图计算听力损失百分比,这是一种仍在用于听力定量评估的方法。然而,这在评估可植入听力系统的术后结果时并不常见。在德国进行人工耳蜗植入(CI)后的常规检查过程中,所有必要参数都可用于通过分类响度标度(pHV)或言语识别阈值(pHV)来计算pHV。
引入pHV和pHV参数,并根据临床常规可用数据进行计算。评估它们在评估CI结果方面的潜在适用性。
本研究包括对一家三级转诊中心66例CI手术的听力学参数进行回顾性图表审查。pHV根据等响度曲线5 CU计算,pHV根据自由声场中的弗莱堡言语测试计算。
虽然pHV变化较小,但pHV的变化最初较大,但会随时间降低。此外,从初始调试开始,平均pHV随时间显示出趋同。pHV和pHV之间的差异为正且具有统计学意义。
可以根据常规数据计算pHV和pHV。pHV和pHV之间的差异与CI成功表现之间的相关性似乎是合理的。