• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

双耳分听和噪声中语音测试作为一种听力筛查和分诊工具,用于分类听力损失类型。

Diotic and Antiphasic Digits-in-noise Testing as a Hearing Screening and Triage Tool to Classify Type of Hearing Loss.

机构信息

Department of Speech-Language Pathology and Audiology, University of Pretoria, Pretoria, Gauteng, South Africa.

Amsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology-Head and Neck Surgery, Ear and Hearing, Amsterdam Public Health research institute, Amsterdam, The Netherlands.

出版信息

Ear Hear. 2022 May/Jun;43(3):1037-1048. doi: 10.1097/AUD.0000000000001160.

DOI:10.1097/AUD.0000000000001160
PMID:34799493
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9010337/
Abstract

OBJECTIVES

The digits-in-noise test (DIN) is a popular self-test measure that has traditionally been used to screen for hearing loss by providing either a pass or refer result. Standard approaches either tested each ear monaurally or used a binaural diotic version where identical digits and noise were presented simultaneously to both ears. Recently, a dichotic, antiphasic version was developed, increasing sensitivity of the DIN to unilateral or asymmetric sensorineural hearing loss (SNHL) and conductive hearing loss (CHL). The purpose of this study was to determine predictors and normative ranges of the antiphasic and diotic DIN and to determine if a combination of diotic and antiphasic DIN could accurately categorize hearing into (1) normal, (2) bilateral SNHL, or (3) unilateral SNHL or CHL.

DESIGN

The analytical sample consisted of 489 participants between the ages of 18 and 92 years with varying types, symmetry, and degrees of hearing loss. Degree and type of hearing loss were determined based on standard clinical four-frequency (0.5-4 kHz) pure-tone air and bone conduction threshold averages. The sample consisted of bilateral normal hearing (n = 293), bilateral SNHL (n = 172), unilateral SNHL (n = 42), and CHL (n = 32). All participants (n = 489) first completed an antiphasic DIN (digit stimuli 180° out-of-phase between ears), while 393 of the sample also completed a diotic DIN. Two procedures were assessed for their ability to categorize hearing into one of the three hearing groups. The first used a fixed antiphasic cutoff combined with a cutoff formed by a linear combination of antiphasic and diotic speech recognition threshold (SRT) or binaural intelligibility-level difference.

RESULTS

Poorer ear pure-tone average was the strongest predictor of antiphasic DIN score, whereas better ear pure-tone average explained more of the variance in diotic SRT. The antiphasic DIN sensitivity and specificity was 90% and 84%, respectively, for detecting hearing loss, with outstanding area under the receiver operating characteristics values exceeding 0.93 to identify hearing loss in the poorer ear. The first fixed SRT cutoff procedure could categorize 75% of all participants correctly, while the second procedure increased correct categorization to 79%. False negative rates for both procedures were below 10%.

CONCLUSIONS

A sequential antiphasic and diotic DIN could categorize hearing to a reasonable degree into three groups of (1) normal hearing; (2) bilateral SNHL; and (3) unilateral asymmetric SNHL or CHL. This type of approach could optimize care pathways using remote and contactless testing, by identifying unilateral SNHL and CHL as cases requiring medical referral. In contrast, bilateral SNHL cases could be referred directly to an audiologist, or nontraditional models like OTC hearing aids.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/9ffcaaa47000/nihms-1746078-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/6800463dcf71/nihms-1746078-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/221851338028/nihms-1746078-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/08b2bfd37747/nihms-1746078-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/40bc576e2651/nihms-1746078-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/9ffcaaa47000/nihms-1746078-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/6800463dcf71/nihms-1746078-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/221851338028/nihms-1746078-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/08b2bfd37747/nihms-1746078-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/40bc576e2651/nihms-1746078-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9010337/9ffcaaa47000/nihms-1746078-f0005.jpg
摘要

目的

数字在噪声测试(DIN)是一种流行的自我测试措施,传统上用于通过提供通过或参考结果来筛选听力损失。标准方法要么对每只耳朵进行单耳测试,要么使用双耳迪奥迪特版本,其中相同的数字和噪声同时呈现给两只耳朵。最近,开发了一种双相,反相版本,提高了 DIN 对单侧或不对称感音神经性听力损失(SNHL)和传导性听力损失(CHL)的敏感性。本研究的目的是确定反相和迪奥迪特 DIN 的预测因素和正常范围,并确定迪奥迪特和反相 DIN 的组合是否可以准确地将听力分为(1)正常,(2)双侧 SNHL,或(3)单侧 SNHL 或 CHL。

设计

分析样本包括年龄在 18 至 92 岁之间的 489 名参与者,他们具有不同类型、对称性和听力损失程度。听力损失的程度和类型基于标准的临床四频(0.5-4 kHz)纯音空气和骨传导阈值平均值确定。样本包括双侧正常听力(n=293)、双侧 SNHL(n=172)、单侧 SNHL(n=42)和 CHL(n=32)。所有参与者(n=489)首先完成反相 DIN(数字刺激在耳朵之间相差 180°),而样本中的 393 名参与者还完成了迪奥迪特 DIN。评估了两种程序将听力分为三种听力组之一的能力。第一种方法使用固定的反相截止值,结合由反相和迪奥迪特言语识别阈值(SRT)或双耳可懂度级差的线性组合形成的截止值。

结果

较差耳朵的纯音平均听力是反相 DIN 评分的最强预测因素,而较好耳朵的纯音平均听力解释了迪奥迪特 SRT 中更多的方差。反相 DIN 的敏感性和特异性分别为 90%和 84%,用于检测听力损失,接收器工作特性曲线下面积超过 0.93,可用于识别较差耳朵的听力损失。第一个固定的 SRT 截止值程序可以正确分类 75%的所有参与者,而第二个程序将正确分类提高到 79%。两种程序的假阴性率均低于 10%。

结论

连续的反相和迪奥迪特 DIN 可以将听力合理地分为三组(1)正常听力;(2)双侧 SNHL;和(3)单侧不对称 SNHL 或 CHL。这种方法可以通过识别单侧 SNHL 和 CHL 作为需要医疗转诊的病例,优化使用远程和非接触式测试的护理途径。相比之下,双侧 SNHL 病例可以直接转诊给听力学家,或采用非传统模式,如 OTC 助听器。

相似文献

1
Diotic and Antiphasic Digits-in-noise Testing as a Hearing Screening and Triage Tool to Classify Type of Hearing Loss.双耳分听和噪声中语音测试作为一种听力筛查和分诊工具,用于分类听力损失类型。
Ear Hear. 2022 May/Jun;43(3):1037-1048. doi: 10.1097/AUD.0000000000001160.
2
Improving Sensitivity of the Digits-In-Noise Test Using Antiphasic Stimuli.使用反相刺激提高数字噪声测试的灵敏度
Ear Hear. 2020 Mar/Apr;41(2):442-450. doi: 10.1097/AUD.0000000000000775.
3
Sensitivity of the antiphasic digits-in-noise test to simulated unilateral and bilateral conductive hearing loss.反相噪声数字测试对模拟单侧和双侧传导性听力损失的敏感性。
Int J Audiol. 2023 Nov;62(11):1022-1030. doi: 10.1080/14992027.2022.2119611. Epub 2022 Sep 19.
4
Speech Recognition in Noise Using Binaural Diotic and Antiphasic Digits-in-Noise in Children: Maturation and Self-Test Validity.使用双耳同音和反相噪声数字测试法在噪声环境中对儿童进行语音识别:成熟度与自我测试效度
J Am Acad Audiol. 2021 May;32(5):315-323. doi: 10.1055/s-0041-1727274. Epub 2021 Aug 10.
5
Pure-tone audiometry without bone-conduction thresholds: using the digits-in-noise test to detect conductive hearing loss.纯音测听而不测试骨导阈值:使用噪声中的数字测试来检测传导性听力损失。
Int J Audiol. 2020 Oct;59(10):801-808. doi: 10.1080/14992027.2020.1783585. Epub 2020 Jul 1.
6
French Version of the Antiphasic Digits-in-Noise Test for Smartphone Hearing Screening.智能手机听力筛查用反相数字噪声测试的法语文本。
Front Public Health. 2021 Oct 14;9:725080. doi: 10.3389/fpubh.2021.725080. eCollection 2021.
7
Binaural temporal coding and the middle ear muscle reflex in audiometrically normal young adults.听力正常的年轻成年人的双耳时间编码与中耳肌肉反射
Hear Res. 2023 Jan;427:108663. doi: 10.1016/j.heares.2022.108663. Epub 2022 Nov 30.
8
Improving the Efficiency of the Digits-in-Noise Hearing Screening Test: A Comparison Between Four Different Test Procedures.提高噪声中数字听力筛查测试的效率:四种不同测试程序的比较
J Speech Lang Hear Res. 2022 Jan 12;65(1):378-391. doi: 10.1044/2021_JSLHR-21-00159. Epub 2021 Dec 10.
9
The South African English Smartphone Digits-in-Noise Hearing Test: Effect of Age, Hearing Loss, and Speaking Competence.南非英语智能手机噪声中数字听力测试:年龄、听力损失和语言能力的影响。
Ear Hear. 2018 Jul/Aug;39(4):656-663. doi: 10.1097/AUD.0000000000000522.
10
Evaluating a smartphone digits-in-noise test as part of the audiometric test battery.评估智能手机噪声中数字测试作为听力测试组的一部分。
S Afr J Commun Disord. 2018 May 21;65(1):e1-e6. doi: 10.4102/sajcd.v65i1.574.

引用本文的文献

1
Integrating Audiological Datasets via Federated Merging of Auditory Profiles.通过听觉特征的联邦合并整合听力学数据集。
Trends Hear. 2025 Jan-Dec;29:23312165251349617. doi: 10.1177/23312165251349617. Epub 2025 Jun 30.
2
Arabic Digits-in-Noise Tests: Relations to Hearing Loss and Comparison of Diotic and Antiphasic Versions.阿拉伯语数字噪声测试:与听力损失的关系以及双耳和反相版本的比较。
Trends Hear. 2025 Jan-Dec;29:23312165251320439. doi: 10.1177/23312165251320439. Epub 2025 Mar 21.
3
Speech-in-noise testing: Innovative applications for pediatric patients, underrepresented populations, fitness for duty, clinical trials, and remote services.
语音噪声测试:儿科患者、代表性不足人群、适航性、临床试验和远程服务的创新应用。
J Acoust Soc Am. 2022 Oct;152(4):2336. doi: 10.1121/10.0014418.
4
Editorial: Digital hearing healthcare.社论:数字听力保健
Front Digit Health. 2022 Jul 13;4:959761. doi: 10.3389/fdgth.2022.959761. eCollection 2022.
5
French Version of the Antiphasic Digits-in-Noise Test for Smartphone Hearing Screening.智能手机听力筛查用反相数字噪声测试的法语文本。
Front Public Health. 2021 Oct 14;9:725080. doi: 10.3389/fpubh.2021.725080. eCollection 2021.