Evidence map›Paper›PMID 37615702›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2024

Preoperative EABR evaluation of auditory pathway integrity in patients with different etiology and postoperative effect estimation.

Bin Wang, Xiaohui Guo, Chaogang Wei, Keli Cao

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Bin Wang *Department of Otolaryngology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, 100730, Beijing, China.
Xiaohui Guo *Department of Ophthalmology, the Third Medical Center of PLA General Hospital, No. 28 Fuxing Road, Haidian District, 100853, Beijing, China.
Chaogang WeiDepartment of Otolaryngology-Head and Neck Surgery, Peking University First Hospital, No. 8 Xishku Street, Xicheng District, 100034, Beijing, China.
Keli CaoDepartment of Otolaryngology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, 100730, Beijing, China. Caokeli0428@163.com.ORCID http://orcid.org/0009-0007-7679-1311
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the effect of electrical auditory brainstem response (EABR) on the integrity evaluation of auditory pathway and the prediction of postoperative effect of cochlear implantation in patients with different etiology of hearing loss.

methodsA total of 580 patients with neuropathic deafness who underwent cochlear implantation surgery from August 2011 to December 2020 were selected for EABR test. The preoperative EABR waveform was analyzed, and parameters such as V wave amplitude, threshold, latency and interval of each wave, and slope of V wave I/O curve were measured. Neural response telemetry (NRT) test was performed during MAP 1 month after operation, and C and T values of the machine were recorded.

resultsThe total EABR extraction rate was 98.45% among 580 patients, including 100% for the normal structure group and enlarged vestibular aqueduct group (LVAS), 92.44% for other malformed group. The average threshold of V wave in patients with normal cochlear structure was significantly better than the malformation groups (p < 0.05). The total extraction rate of NRT was 78.62%, including 99.72% in the group with normal structure, 95.65% in the LVAS group, 1.85-88.24% in the group with other malformations, and 0% in the cochlear ossification group. The correlation analysis showed a statistically significant correlation between the average preoperative EABR threshold and the C value of NRT.

conclusionsPreoperative EABR could evaluate the integrity of auditory conduction pathway of patients with cochlear implantation and predict the postoperative hearing rehabilitation effect.

Indexed as

Cochlear ImplantationCochlear ImplantsHearing Loss, SensorineuralAuditory PathwaysAuditory ThresholdEvoked Potentials, Auditory, Brain StemHumansCochlear implantDeafnessEABRElectrophysiologicalNRT

Identifiers

PMID37615702
OpenAlexW4386117254

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.