Benatar Michael, Hammad Mustafa, Doss-Riney Heidi
Department of Neurology, Emory University School of Medicine, 1365A Clifton Road NE, Atlanta, Georgia 30322, USA.
Muscle Nerve. 2006 Aug;34(2):163-8. doi: 10.1002/mus.20568.
The goal of this study was to estimate the accuracy of concentric-needle single-fiber electromyography (CN-SFEMG) for the diagnosis of myasthenia gravis (MG). A consecutive series of patients referred for CN-SFEMG was evaluated by an investigator blinded to the results of CN-SFEMG in order to determine the presence or absence of MG using an independent reference standard. Sensitivity, specificity, predictive values, and likelihood ratios were calculated. The study population included 51 patients (21 with MG). CN-SFEMG was normal in 34 patients (67%) and abnormal in 17 (33%). The sensitivity of CN-SFEMG for the diagnosis of MG was 0.67 and the specificity was 0.96. The positive likelihood ratio was 16.8 and the negative likelihood ratio was 0.34. The positive and negative predictive values were 0.93 and 0.76, respectively. These results indicate that CN-SFEMG showing abnormal jiggle is extremely useful for confirming the diagnosis of MG, but that CN-SFEMG showing normal jiggle has limited utility in excluding the diagnosis.
本研究的目的是评估同心针单纤维肌电图(CN-SFEMG)对重症肌无力(MG)诊断的准确性。由一位对CN-SFEMG结果不知情的研究者对一系列连续接受CN-SFEMG检查的患者进行评估,以便使用独立的参考标准来确定MG的存在与否。计算敏感性、特异性、预测值和似然比。研究人群包括51名患者(21名患有MG)。34名患者(67%)的CN-SFEMG结果正常,17名患者(33%)异常。CN-SFEMG诊断MG的敏感性为0.67,特异性为0.96。阳性似然比为16.8,阴性似然比为0.34。阳性和阴性预测值分别为0.93和0.76。这些结果表明,显示异常抖动的CN-SFEMG对确诊MG非常有用,但显示正常抖动的CN-SFEMG在排除诊断方面效用有限。