社区老年听觉认知减退的智能简化评估方法

朱蓓; 王雪丽; 鲁秀玲; 陈洁; 保志军; 张敏

doi:10.3969/j.issn.1672-4933.2026.04.010

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社区老年听觉认知减退的智能简化评估方法

临床研究 | 更新时间：2026-09-22

- 社区老年听觉认知减退的智能简化评估方法
- Intelligent Simplified Assessment Method for Elderly Hearing Loss in Communities
- 中国听力语言康复科学杂志 2026年24卷第4期页码：377-383
- 作者机构：
  
  1.上海市松江区九亭镇社区卫生服务中心上海 201615
  2.复旦大学附属华东医院上海 200040
- 作者简介：
  
  朱蓓本科主任医师；研究方向：眼耳鼻咽喉科
  张敏，E-mail：miz18@pitt.edu
- 基金信息：
  
  上海市松江区科技攻关项目“社区老年听觉认知减退的智能简化评估方法”(2024SJKJGG047)
- DOI：10.3969/j.issn.1672-4933.2026.04.010
  中图分类号： R764.43
- 收稿：2026-04-14，
  
  修回：2026-05-20，
  
  录用：2026-06-30，
  
  纸质出版：2026-07-15
- 稿件说明：
移动端阅览
朱蓓,王雪丽,鲁秀玲等.社区老年听觉认知减退的智能简化评估方法[J].中国听力语言康复科学杂志,2026,24(04):377-383.

ZHU Bei,WANG Xue-li,LU Xiu-ling,et al.Intelligent Simplified Assessment Method for Elderly Hearing Loss in Communities[J].Chinese Scientific Journal of Hearing and Speech Rehabilitation,2026,24(04):377-383.
朱蓓,王雪丽,鲁秀玲等.社区老年听觉认知减退的智能简化评估方法[J].中国听力语言康复科学杂志,2026,24(04):377-383. DOI： 10.3969/j.issn.1672-4933.2026.04.010.

ZHU Bei,WANG Xue-li,LU Xiu-ling,et al.Intelligent Simplified Assessment Method for Elderly Hearing Loss in Communities[J].Chinese Scientific Journal of Hearing and Speech Rehabilitation,2026,24(04):377-383. DOI： 10.3969/j.issn.1672-4933.2026.04.010.

摘要

目的

构建并验证适用于社区人群的听觉认知功能智能简化评估方法。

方法

选取35名健康大学生建立时间压缩言语测试、听觉数字广度及听觉Stroop测试常模，以95%置信区间下限作为功能减退判别标准，另选取第10百分位数界值进行敏感性分析。随后对466名社区居民采集完整测试数据，按2：1划分训练集与验证集，基于贝叶斯自适应测试、计算机自适应测试及支持向量机等算法对测试流程进行简化，在验证集中评估其一致性与诊断效能。对88名受试者进行3个月随访以验证稳定性。

结果

简化版测试较完整版耗时减少50%～75%，且与完整版结果高度相关（

=0.88～0.94）。受试者工作特征曲线（receiver operating characteristic curve，ROC）分析显示分析显示曲线下面积（area under the curve，AUC）为0.85～0.89，敏感度≥90%。验证集结果表明模型泛化能力良好（ΔAUC

0.05）。随访分析显示，重复测量一致性较高组内相关系数（intraclass correlation coefficient，ICC=0.87）。

结论

本研究构建并验证的基于智能算法的简化听觉认知评估工具，在严格保证测评信度与诊断效度的前提下，能够显著缩短评估时间，提升基层筛查效率。该工具克服了传统评估工具的冗长弊端，具有良好的模型泛化能力、重测稳定性和临床转化价值。将其集成于移动设备或智能手机平台中，适合在社区中老年人群中开展大规模听觉与认知障碍早期筛查。

Abstract

Objectives

Construct and validate an intelligent simplified assessment method of auditory cognitive function for community people.

Methods

The norms of time compression speech test

auditory digit span test and auditory Stroop test were established by 35 healthy college students. The lower limit of 95% confidence interval was used as the criterion of functional impairment (the 10th percentile limit was selected for sensitivity analysis). The Data of 466 community residents were collected

and the training set and verification set were divided by 2∶1. The test process was simplified based on Bayesian adaptive test

computer adaptive test and support vector machine

and its consistency and diagnostic efficiency were evaluated in the verification set. Another 88 subjects were followed up for 3 months to verify the stability.

Results

The test time of the simplified version was 50%-75% less than that of the full version

and was highly correlated with the results of the full version (r=0.88-0.94). ROC analysis showed that the AUC was 0.85-0.89

and the sensitivity was ≥90%. The results of validation set showed that the generalization ability of the model is good (Δ auc<0.05). The follow up analysis showed that the consistency of repeated measurements was high (ICC=0.87).

Conclusions

the simplified auditory cognitive assessment tool based on intelligent algorithms (including Bayesian adaptive and SVM feature selection) constructed and verified in this study can significantly shorten the assessment time and improve the efficiency of grass-roots screening under the premise of strictly ensuring the reliability and diagnostic validity of the assessment. This tool overcomes the tedious drawbacks of traditional evaluation tools

and has good model generalization ability

retest stability and clinical transformation value. Integrating it into the mobile device or smart phone platform is very suitable for large-scale early screening of hearing and cognitive impairment in the middle-aged and elderly people in the community.

关键词

Keywords

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