梅尼埃病的听-前庭功能诊断的Logistic回归分析

目的:采用多指标的Logistic回归分析方法探讨梅尼埃病临床特征及耳蜗与前庭功能损害的特征.方法:36例梅尼埃病患者和30例其他外周性眩晕对照组进行临床资料分析,完成纯音测听、Metz重振测试、耳蜗电图、甘油试验、ABR等听力学检查以及双温试验、摇头眼震试验、Fukuda踏步试验.对临床体征、耳蜗与前庭功能检查的各项指标进行单因素χ2 分析,然后进行多因素Logistic回归分析.结果:①波动性听力下降、四联征出现的个数、Tullio现象、耳蜗电图-SP/AP幅值比、Metz重振试验、甘油试验在梅尼埃组与非梅尼埃组间差异有统计学意义(P<0.05);②建立了以耳蜗电图(X1)、甘油试验(X2)、症状的个数(X3)、波动性听力下降(X4)为变量的梅尼埃病Logistic回归预测方程:Logit(p)=-9.443+3.110 X1 +5.015X2 +2.506 X3 +3.963 X4.Logistic模型预报正确率为95.5%,ROC曲线下面积为0.993.结论:梅尼埃病的临床表现特征性明显,配合耳蜗-前庭功能的客观检查,可与其他外周性眩晕相鉴别,相关因素的Logistic回归预测方程可对梅尼埃病进行辅助诊断.

Analysis with the Logistic regression mode to the audiologic and vestibular functions in Meniere's disease

Objective:To investigate the clinical features,characteristic of cochlear and vestibular dysfunction in Meniere's disease(MD) by using the multiple factor Logistic regression analysis.Method:The clinical data of 36 patients with the diagnosis of Meniere's disease according to 2006 Guiyang standard and 30 patients with peripheral vestibular disorders were investigated.All subjects received audiologic and vestibular assessments,including pure tone audiometry,Metz's recruitment test,electrocochleography(ECochG...