癫痫                        
                
                                
                        
                            脑电图                        
                
                                
                        
                            接收机工作特性                        
                
                                
                        
                            医学                        
                
                                
                        
                            发作类型                        
                
                                
                        
                            头皮                        
                
                                
                        
                            麻醉                        
                
                                
                        
                            儿科                        
                
                                
                        
                            听力学                        
                
                                
                        
                            内科学                        
                
                                
                        
                            外科                        
                
                                
                        
                            精神科                        
                
                        
                    
            作者
            
                Xianyue Liu,Yinchao Li,Xiao‐Nan Li,Shuda Chen,Lisen Sui,Zhengwei Su,Liming Cheng,Ke Zhao,Man Yang,Huanling Lai,Yue Xing,Yue Gui,Jiaoyang Wang,Xiaofeng Yang,Liemin Zhou            
         
                    
            出处
            
                                    期刊:Epilepsia
                                                         [Wiley]
                                                        日期:2023-03-16
                                                        卷期号:64 (6): 1541-1553
                                                        被引量:3
                                 
         
        
    
            
        
                
            摘要
            
            We aim to determine whether automatically detected ripple rate (ADRR) of 10-min scalp electroencephalography (EEG) during slow-wave sleep can be a useful tool for rapid epilepsy differentiation and seizure activity assessment, and we analyze the clinical factors that may affect the scalp ripple rates.We retrospectively included 336 patients who underwent long-term video-EEG with a sampling rate ≥1000 Hz, and three groups were established based on their final clinical diagnosis (non-epilepsy; non-active epilepsy [epilepsy being seizure-free for at least 1 year]; and active epilepsy [epilepsy with one or more seizures in the past year]). ADRRs between groups were compared and diagnostic thresholds set according to the maximum of Youden index with the receiver-operating characteristic curve.The 336 patients comprised 49 non-epilepsy and 287 epilepsy patients (95 non-active epilepsy and 192 active epilepsy). The median ADRR of the epilepsy group was significantly greater than in the non-epilepsy group, with a diagnostic threshold of 4.25 /min (specificity 89.8%, sensitivity 47.74%, p<.001). Following stratification by age, the area under the curve was greatest in the 0-20 year subgroup, threshold 4.10 /min (specificity 100%, sensitivity 52.47%, p<.001). Regarding distinguishing active epilepsy from non-active epilepsy patients, the area under the curve was also greatest in patients 0-20 years of age, threshold 13.05/min (specificity 98.36%, sensitivity 35.64%, p<.001). Following stratification by epilepsy type, the diagnostic efficiency was best in children with developmental and epileptic encephalopathies/epileptic encephalopathies (DEEs/EEs) (threshold 5.20/min, specificity 100%, sensitivity 100%) and self-limited focal epilepsies (SeLFEs) (threshold 5.45/min, specificity 80%, sensitivity 100%). Multivariate analysis revealed that the influential factors of ADRRs were age, depth of epileptogenic lesion, and seizure frequency.ADRR of scalp EEG can be a rapid and specific method to differentiate epilepsy and evaluate seizure activity. This method is especially suitable for young patients.
         
            
 
                 
                
                    
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