Abokrysha Noha T, Taha Noha, Shamloul Reham, Elsayed Samar, Osama Wesam, Hatem Ghada
Department of Neurology, Faculty of Medicine, Cairo University, Giza, Egypt.
Department of Internal Medicine, Faculty of Medicine, Cairo University, Giza, Egypt.
Egypt J Neurol Psychiatr Neurosurg. 2023;59(1):44. doi: 10.1186/s41983-023-00647-1. Epub 2023 Mar 29.
Epilepsy is the third chronic brain illness worldwide. About a third of the epileptic patients will be drug resistant. Early identification of these patients is critical for appropriate treatment selection and prevention of the devastating consequences of recurrent seizures. The objective of this study aims to detect clinical, electrophysiological, and radiological predictors for drug-resistant epilepsy patients.
One hundred fifty-five patients were included in this study, divided into a well-controlled epilepsy group (103 patients) and a drug-resistant group (52 patients). Both groups were compared regarding clinical, electrophysiological, and neuro-radiological data. Younger age at onset, history of delayed milestones, history of perinatal insult (especially hypoxia), mental retardation, neurological deficits, depression, status epilepticus (SE), complex febrile seizures, focal seizure to bilateral tonic-clonic convulsion as well as multiple seizures and high seizure frequency (daily) at onset, poor response to first anti-seizure drug (ASD), structural and metabolic etiology, abnormal brain imaging, and slow background and multifocal epileptiform discharges in EEG were significant risk factors for the development of drug-resistant epilepsy.
MRI abnormalities are the most significant predictor for drug-resistant epilepsy. Drug-resistant epilepsy is associated with clinical, electrophysiological, and radiological risk factors that can be used to diagnose drug-resistant patients early and choose the best treatment option and time.
癫痫是全球第三大慢性脑部疾病。约三分之一的癫痫患者会产生耐药性。早期识别这些患者对于选择合适的治疗方法以及预防癫痫反复发作带来的灾难性后果至关重要。本研究的目的是检测耐药性癫痫患者的临床、电生理和影像学预测指标。
本研究纳入了155例患者,分为癫痫控制良好组(103例)和耐药组(52例)。对两组患者的临床、电生理和神经影像学数据进行了比较。发病年龄较小、发育迟缓病史、围产期损伤史(尤其是缺氧)、智力低下、神经功能缺损、抑郁、癫痫持续状态(SE)、复杂性热性惊厥、局灶性发作演变为双侧强直阵挛性惊厥以及发病时多次发作且发作频率高(每日发作)、对首次抗癫痫药物(ASD)反应不佳、结构性和代谢性病因、脑成像异常以及脑电图背景慢波和多灶性癫痫样放电是耐药性癫痫发生的重要危险因素。
磁共振成像(MRI)异常是耐药性癫痫最显著的预测指标。耐药性癫痫与临床、电生理和影像学危险因素相关,这些因素可用于早期诊断耐药患者并选择最佳治疗方案和时机。