Hoppe Ulrich, Hast Anne, Hocke Thomas
*Department of Audiology, ENT-Clinic, University of Erlangen-Nürnberg, Erlangen; and †Cochlear Deutschland GmbH & Co KG, Karl-Wiechert-Allee, Hannover, Germany.
Otol Neurotol. 2015 Jul;36(6):1001-5. doi: 10.1097/MAO.0000000000000730.
This study defines a screening procedure for cochlear implant (CI) candidacy in hearing aid users by using simple audiometric measures.
Within this retrospective study, hearing aid performance and audiometric measures in 185 subjects (318 ears) were analyzed. By means of a linear Naive Bayes classifier, the pure-tone average and the maximum monosyllabic score (PB(max)) were used to predict the aided monosyllabic word score and CI candidacy.
The two parameters PB(max) and four-frequency hearing threshold average can be used to predict speech perception with hearing aids with reasonable accuracy for screening purposes. The classification has a sensitivity of 87% and a specificity of 91%. The classification can be represented by a simple linear formula.
CI candidacy can be predicted based on commonly used audiometric measures.Cochlear implant candidacy may be considered if the difference between the average pure-tone threshold (in decibels) and PBmax (in percent) exceeds 8.
本研究通过使用简单的听力测定方法，为助听器使用者定义了一种人工耳蜗（CI）植入候选资格的筛查程序。
在这项回顾性研究中，分析了185名受试者（318只耳朵）的助听器性能和听力测定指标。借助线性朴素贝叶斯分类器，使用纯音平均值和最大单音节得分（PB(max)）来预测助听单音节词得分和人工耳蜗植入候选资格。
PB(max)和四频率听力阈值平均值这两个参数可用于以合理的准确性预测助听器的言语感知能力，以用于筛查目的。该分类的灵敏度为87%，特异性为91%。该分类可用一个简单的线性公式表示。
可基于常用的听力测定指标预测人工耳蜗植入候选资格。如果平均纯音阈值（以分贝为单位）与PBmax（以百分比为单位）之间的差异超过8，则可考虑人工耳蜗植入候选资格。
