Thirumala Parthasarathy D, Natarajan Piruthiviraj, Thiagarajan Karthy, Crammond Donald J, Habeych Miguel E, Chaer Rabih A, Avgerinos Efthymios D, Friedlander Robert, Balzer Jeffrey R
a Department of Neurological Surgery , Universityof Pittsburgh Medical Center , Pittsburgh , PA , USA.
b Department of Neurology , University of Pittsburgh Medical Center , Pittsburgh , PA , USA.
Neurol Res. 2016 Aug;38(8):698-705. doi: 10.1080/01616412.2016.1200707. Epub 2016 Jun 24.
Perioperative stroke risk following carotid endarterectomy (CEA) is reported to be approximately 2-3%. The diagnostic accuracies of intraoperative EEG and SSEP monitoring during CEA have been studied separately. However, to date, the effectiveness of simultaneous EEG and SSEP monitoring during CEA has only been evaluated in small study populations. This study examined the diagnostic accuracy of combined EEG and SSEP monitoring in a large (N = 1165) patient population.
This study included 1165 patients who underwent CEA from 2000 to 2012 at the University of Pittsburgh Medical Center. The sensitivities, specificities, and diagnostic odds ratio of EEG and SSEP monitoring methods were examined separately and together. Receiver operating characteristic curves were plotted to assess sensitivity and specificity of single and combined Intraoperative monitoring (IONM) methods.
Maximum sensitivity was obtained with multimodality monitoring with an IONM change in either EEG or SSEP of 50.00 (95% CI, 30.66-69.34). The specificity of simultaneous EEG and SSEP changes was 93.95 (95% CI, 92.28-95.35%). Maximum area under ROC curve obtained for IONM change in either EEG or SSEP was 0.660 (95% CI, 0.547-0.773, p-value 0.004).
The diagnostic accuracy of multimodality IONM during CEA is higher than an approach using single modality IONM. Simultaneous EEG and SSEP monitoring improves the likelihood of detecting periprocedural strokes after CEA. Neuro protective therapies to prevent periprocedural strokes can be based on changes in SSEP and EEG during CEA.
据报道,颈动脉内膜切除术(CEA)围手术期的中风风险约为2%-3%。术中脑电图(EEG)和体感诱发电位(SSEP)监测在CEA期间的诊断准确性已分别进行了研究。然而,迄今为止,CEA期间同步进行EEG和SSEP监测的有效性仅在小规模研究人群中进行了评估。本研究在一个大型(N = 1165)患者群体中检验了联合EEG和SSEP监测的诊断准确性。
本研究纳入了2000年至2012年在匹兹堡大学医学中心接受CEA的1165例患者。分别对EEG和SSEP监测方法的敏感性、特异性和诊断比值比进行了检验,并进行了联合检验。绘制了受试者工作特征曲线,以评估单一和联合术中监测(IONM)方法的敏感性和特异性。
通过多模态监测获得了最大敏感性,即EEG或SSEP的IONM变化为50.00(95%置信区间,30.66-69.34)。EEG和SSEP同步变化的特异性为93.95(95%置信区间,92.28-95.35%)。EEG或SSEP的IONM变化获得的ROC曲线下最大面积为0.660(95%置信区间,0.547-0.773,p值0.004)。
CEA期间多模态IONM的诊断准确性高于单一模态IONM方法。同步进行EEG和SSEP监测提高了检测CEA后围手术期中风的可能性。预防围手术期中风的神经保护疗法可基于CEA期间SSEP和EEG的变化。