Exploration of early detection of large vestibular aqueduct syndrome in children with multiple audiological indicators
10.16066/j.1672-7002.2025.07.007
- VernacularTitle:应用多项听力学指标对儿童大前庭水管综合征早期发现的探索
- Author:
Yitong LI
1
;
Yue LI
;
Dongxin LIU
;
Cheng WEN
;
Xiaomo WANG
;
Hui LIU
;
Xiaohua CHENG
;
Hui EN
;
Bei'er QI
;
Xinxing FU
;
Lihui HUANG
Author Information
1. 首都医科大学附属北京同仁医院,北京市耳鼻咽喉科研究所,耳鼻咽喉头颈科学教育部重点实验室(首都医科大学),北京 100005
- Keywords:
Vestibular Aqueduct;
Hearing Loss;
Child;
Nomograms;
large vestibular aqueduct syndrome
- From:
Chinese Archives of Otolaryngology-Head and Neck Surgery
2025;32(7):439-443
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To explore the early detection of large vestibular aqueduct syndrome(LVAS)in children by applying several audiological indicators.METHODS Ninety-two children with hearing loss(aged 1-70 months)were enrolled and divided into an LVAS group(45 cases)and a control group(47 cases).Eleven audiological indicators were statistically analyzed:lateral of hearing loss,the degree of hearing loss,configuration of hearing loss;ABR air-conduction threshold;ABR air-bone gap;ASSR average threshold;ASSR thresholds at 0.5,1,2,and 4 kHz;and tympanogram type.Indicators showing significant two-group differences were used to construct a visualized multifactorial linear prediction model using the R language.RESULTS Nine indicators demonstrated statistically significant differences between groups(P<0.05):laterality,configuration of hearing loss,ABR air-conduction threshold,ASSR average threshold,ASSR thresholds at all frequencies(0.5,1,2,4 kHz),and tympanogram type.A prediction model was established.When the total model score ranged between 200 and 240 points,the predicted LVAS risk probability was 0.1 to 0.99.The consistency index(C-index)was 0.85,indicating good predictive ability of the model.CONCLUSION The identified nine audiological indicators are valuable for the early detection of LVAS in children.The developed model can estimate LVAS risk.After refinement,this model holds potential to support early clinical diagnosis and intervention.
