(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具有多种特征,and,因此,需要更准确的诊断工具来区分这两种疾病。(2)方法:本研究采用回顾性设计,对69例MD患者的临床资料进行回顾性分析,79例VM患者和72例MD偏头痛患者。五个前庭自转测试(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.生成受试者工作特征(ROC)曲线以确定不同参数在MD和VM鉴别诊断中的准确性。(3)结果:我们的结果表明,在区分MD和VM方面,VAT的水平增益显着优于其他参数。此外,灵敏度,水平增益的特异性和准确性为95.7%,50.6%和71.6%,分别,用于VM和MD之间的区别。在大多数MD患者中,水平增益在3-4Hz范围内下降,而在大多数VM患者中,水平增益在2-3Hz之间的范围内增加。当频率小于5.0Hz时,更多的偏头痛患者的MD水平增益增加,而当频率大于5.0Hz时,水平增益降低。(4)结论:我们的研究建议增值税,尤其是水平增益,作为一个指标,可以作为一个敏感和客观的指标,有助于区分MD和VM。此外,VAT,由于其非侵入性和全频率性质,可能是测试电池的重要组成部分。
(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.