Liu Dan, Wang Jun, Tian E, Guo Zhao-Qi, Chen Jing-Yu, Kong Wei-Jia, Zhang Su-Lin
Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Institute of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Brain Sci. 2022 Oct 25;12(11):1432. doi: 10.3390/brainsci12111432.
(1) Background: Vestibular migraine (VM) and Menière's disease (MD) share multiple features in terms of clinical presentations and auditory-vestibular functions, and, therefore, more accurate diagnostic tools to distinguish between the two disorders are needed. (2) Methods: The study was of retrospective design and examined the data of 69 MD patients, 79 VM patients and 72 MD with migraine patients. Five vestibular autorotation test (VAT) parameters, i.e., horizontal gain/phase, vertical gain/phase and asymmetry were subjected to logistic regression. The receiver operating characteristic (ROC) curves were generated to determine the accuracy of the different parameters in the differential diagnosis of MD and VM. (3) Results: Our results showed that the horizontal gain of VAT significantly outperformed other parameters in distinguishing MD and VM. In addition, the sensitivity, specificity and accuracy of the horizontal gain were 95.7%, 50.6% and 71.6%, respectively, for the differentiation between VM and MD. In most MD patients, the horizontal gain decreased in the range of 3-4 Hz, while in most VM patients, horizontal gain increased in the range between 2-3 Hz. More MD with migraine patients had an increased horizontal gain when the frequency was less than 5.0 Hz and had a decreased horizontal gain when the frequency was greater than 5.0 Hz. (4) Conclusion: Our study suggested the VAT, especially the horizontal gain, as an indicator, may serve as a sensitive and objective indicator that helps distinguish between MD and VM. Moreover, VAT, due to its non-invasive and all-frequency nature, might be an important part of a test battery.
(1) 背景:前庭性偏头痛(VM)和梅尼埃病(MD)在临床表现和听觉 - 前庭功能方面有多个共同特征,因此,需要更准确的诊断工具来区分这两种疾病。(2) 方法:本研究为回顾性设计,检查了69例梅尼埃病患者、79例前庭性偏头痛患者和72例合并偏头痛的梅尼埃病患者的数据。对五个前庭自旋转试验(VAT)参数,即水平增益/相位、垂直增益/相位和不对称性进行逻辑回归分析。生成受试者工作特征(ROC)曲线以确定不同参数在梅尼埃病和前庭性偏头痛鉴别诊断中的准确性。(3) 结果:我们的结果表明,VAT的水平增益在区分梅尼埃病和前庭性偏头痛方面明显优于其他参数。此外,水平增益在区分前庭性偏头痛和梅尼埃病时的敏感性、特异性和准确性分别为95.7%、50.6%和71.6%。在大多数梅尼埃病患者中,水平增益在3 - 4Hz范围内下降,而在大多数前庭性偏头痛患者中,水平增益在2 - 3Hz范围内增加。更多合并偏头痛的梅尼埃病患者在频率小于5.0Hz时水平增益增加,在频率大于5.0Hz时水平增益下降。(4) 结论:我们的研究表明,VAT,尤其是水平增益,作为一个指标,可能是有助于区分梅尼埃病和前庭性偏头痛的敏感且客观的指标。此外,由于VAT具有非侵入性和全频率特性,可能是检测组合的重要组成部分。