基于听力状况，通过噪声中数字测试来区分听觉表现程度。

Discrimination of degrees of auditory performance from the digits-in-noise test based on hearing status.

作者信息

Armstrong Nicole M, Oosterloo Berthe C, Croll Pauline H, Ikram Mohammad Arfan, Goedegebure André

机构信息

Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA.

Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands.

出版信息

Int J Audiol. 2020 Dec;59(12):897-904. doi: 10.1080/14992027.2020.1787531. Epub 2020 Jul 16.

DOI:10.1080/14992027.2020.1787531

PMID:32673129

Abstract

OBJECTIVE

To discriminate among degrees of auditory performance of the Digits-in-Noise (DIN) test.

DESIGN

We performed Pearson's correlations and age- and sex-adjusted linear regression models to examine the correlation between pure-tone average (PTA) from pure-tone audiometric tests and speech recognition thresholds (SRT) from the DIN test. Then, optimal SRT cut-points by PTA-defined hearing status (0-25 dB HL [normal], 26-40 dB HL [mild hearing loss], 41-50 dB HL [moderate hearing loss]) were compared across three methods: Youden, Nearest, and Liu. SRT-defined categories of auditory performance were compared to PTA-defined hearing categories to examine the convergence of similar categories. 3422 Rotterdam Study participants aged 51-98 years between 2011 and 2014.

RESULTS

The correlation between SRT and PTA was 0.65 (95% Confidence Interval: 0.63, 0.67) in the overall sample. The variability of SRT explained by PTA after age and sex adjustment was 54%. Optimal cut-points for the overall sample across the three methods were: ≤ -5.55 dB SNR (normal); > -5.55 to ≤ -3.80 dB SNR (insufficient performance); > -3.80 dB SNR (poor performance). When comparing the SRT- or PTA-defined categories, 59.8% had concordant hearing categories and 40.2% had discordant hearing categories.

CONCLUSIONS

Discrimination of degrees of auditory performance may add greater utility of the DIN test.

摘要

目的

区分噪声中数字（DIN）测试的不同听觉表现程度。

设计

我们进行了Pearson相关性分析以及年龄和性别调整后的线性回归模型，以检验纯音听力测试中的纯音平均听阈（PTA）与DIN测试中的言语识别阈（SRT）之间的相关性。然后，通过三种方法（约登法、最近邻法和刘法）比较了按PTA定义的听力状况（0 - 25 dB HL[正常]、26 - 40 dB HL[轻度听力损失]、41 - 50 dB HL[中度听力损失]）确定的最佳SRT切点。将SRT定义的听觉表现类别与PTA定义的听力类别进行比较，以检验相似类别的一致性。研究对象为2011年至2014年间年龄在51 - 98岁的3422名鹿特丹研究参与者。

结果

在总体样本中，SRT与PTA的相关性为0.65（95%置信区间：0.63，0.67）。年龄和性别调整后，PTA解释的SRT变异性为54%。三种方法在总体样本中的最佳切点为：≤ -5.55 dB SNR（正常）；> -5.55至≤ -3.80 dB SNR（表现不足）；> -3.80 dB SNR（表现差）。比较SRT或PTA定义的类别时，59.8%的听力类别一致，40.2%的听力类别不一致。