Air and bone-conducted vestibular evoked myogenic potentials in children with large vestibular aqueduct syndrome

Abstract

Background

There are few studies focused on vestibular symptoms and function of the children with LVAS.

Objectives

This study aimed to find the characteristics of air and bone-conducted VEMPs among children with LVAS, and to investigate the relationship between VEMPs and vestibular symptoms.

Material and methods

A total of 44 children with LVAS and 10 healthy children were recruited as the case group and control group. Air and bone-conducted VEMP were performed to the participants.

Results

For air-conducted measurement, there was elevated amplitude of cVEMP in case group than control group. There was no significant difference at oVEMP parameters between the case group and control group. For bone-conducted measurement, significantly longer P1 latency and shorter P1-N1 latency of cVEMP were observed among the case group; there were a series of changes in oVEMP parameters among the case group. Logistic regression model revealed that air-conducted oVEMP asymmetric ratio was valuable to predict vestibular symptoms’ development among the kids with LVAS.

Conclusion

Asymmetric ratio of oVEMP could be used as one predictor of developing vestibular symptoms of the children with LVAS. Applying bone-conducted VEMP as one alternative parameter of vestibular syndrome is novel and will certainly remain an area of continued investigation.

Chinese abstract

背景：关于LVAS儿​​童前庭症状和功能的研究很少。

目的：本研究旨在发现LVAS患儿的气骨传导VEMP的特征, 并探讨VEMP与前庭症状之间的关系。

材料和方法：总共招募了44名LVAS儿童和10名健康儿童作为病例组和对照组。对参与者进行了气骨传导VEMP。

结果：对于气导测量, 病例组cVEMP的幅度高于对照组。病例组和对照组之间的oVEMP参数没有显著差异。对于骨导测量, 在病例组观察到cVEMP的明显更长的P1潜伏期和较短的P1-N1潜伏期； 病例组的oVEMP参数发生了一系列变化。 逻辑回归模型显示空气传导oVEMP不对称比对于预测LVAS儿童前庭症状的发展很有价值。

结论：oVEMP不对称比可作为LVAS患儿前庭症状发展的一种预测指标。应用骨传导VEMP作为另一种前庭综合征参数还比较新颖, 肯定会继续加以研究。

Keywords:

• Children
• vestibular evoked myogenic potential (VEMP)
• B-81 bone transducer
• asymmetric ratio

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by grants from the Key International (Regional) Joint Research Program of National Natural Science Foundation of China (NSFC#81820108009); the capital health research and development of special project (2016-1-5014); the key project for active health and technological response to aging from the MOST (2019YFC200062-6); support project of National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital (NCRCG-PLAGH-2019007); the youth cultivation project of military medical science (16QNP133); medical big data research and development project of PLA general hospital (2018MBD-015).