The Subjective Visual Vertical and Electrocochleography Tests in Individuals with Meniere's Disease.

Autor: Behzad, Hadi, Gharibi, Reza, Rezvaniamin, Mahmood, Kafashan, Setareh, Kamrani, Ali
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Zdroj: Iranian Journal of Otorhinolaryngology; Jul/Aug2024, Vol. 36 Issue 4, p517-525, 9p
Abstrakt: Introduction: Meniere's disease is an inner ear disorder not associated with central brain structure involvement. Although the ECochG test has been commonly used to diagnose Meniere's disease recently, it has not demonstrated high sensitivity. Therefore, it is recommended that other complementary tests alongside the ECochG test be used to diagnose Meniere's disease. The SVV test has gained popularity recently for this reason, and in this study, it was decided to use the SVV test in both static and dynamic modes, along with the ECochG test, as a tool for diagnosing Meniere's disease and evaluating its diagnostic features. Materials and Methods: The study was conducted on 53 patients with confirmed unilateral Meniere's disease and a normal group. Means were calculated with a 95% confidence interval for the groups, and the corresponding graphs were plotted. Independent t-tests were used to examine the difference in SVV results between the normal and Meniere's groups. The ROC curve was then used to determine the cutoff point and calculate. Results: After investigating the cutoff point for the three SVV conditions (tilted towards the lesion), a cutoff point of 2.1 degrees with a sensitivity and specificity of approximately 0.7 was identified as the best condition for distinguishing the Meniere's group from the healthy group. Conclusion: Finally, based on the findings, it can be concluded that the SVV test has relatively low sensitivity for diagnosing Meniere's disease. Therefore, more than relying solely on its results to identify Meniere's disease is required, and it is suggested that other measures alongside the ECochG and SVV tests be included in future studies for further investigation. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index