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Predictive model for refractoriness in Temporal Lobe Epilepsy based on clinical and diagnostic test data

机译:基于临床和诊断测试数据的颞叶癫痫顽固性预测模型

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Introduction: Temporal Lobe Epilepsy (TLE) is frequently resistant to drug treatment, but a high percentage of these patients can be free of seizures after epilepsy surgery. Delay in the surgical decision has been related to quality of life impairment, social and work limitations, and increased mortality risk. A predictive model for refractoriness based on clinical and diagnostic factors may allow its earlier detection and a shorter delay before surgery. Material and methods: A case-control study was conducted in TLE patients over 16 years old. The dependent variable was resistance to medical treatment according to ILAE 2010 criteria. Independent variables were clinical, semiological, therapeutic, neurophysiological, radiological, and neuropsychological variables. A multivariate study was conducted to identify the variables associated with refractoriness, calculating the positive and negative predictive values and positive likelihood ratios of these variables individually and in combination. These data were used to construct a refractoriness predictive model. Results: ILAE refractoriness criteria were met by 83 patients (50.9%). In the multivariate analysis, refractoriness was significantly associated with one semiological variable, one neuroradiological variable, one neurophysiological variable, and two therapeutic variables but not with neuropsychological test outcomes. These significant variables were used to construct a predictive model. Conclusion: Assessment of semiological, neurophysiological, and neuroradiological data can serve to stratify the risk of refractory epilepsy in TLE patients.
机译:简介:颞叶癫痫症(TLE)通常对药物治疗有抵抗力,但是这些患者中有很高的比例在癫痫手术后没有癫痫发作。手术决策的延迟与生活质量下降,社会和工作限制以及死亡风险增加有关。基于临床和诊断因素的难治性预测模型可允许其较早发现并在手术前较短的延迟。材料和方法:对16岁以上的TLE患者进行了病例对照研究。根据ILAE 2010标准,因变量是对药物的耐药性。自变量是临床,符号学,治疗,神经生理学,放射学和神经心理学变量。进行了多变量研究以识别与耐火度相关的变量,分别或组合计算这些变量的正预测值和负预测值以及正似然比。这些数据用于构建耐火度预测模型。结果:83例患者符合ILAE难治性标准(50.9%)。在多变量分析中,耐火度与一个符号学变量,一个神经放射学变量,一个神经生理学变量和两个治疗变量显着相关,但与神经心理学测试结果无关。这些重要变量用于构建预测模型。结论:对符号学,神经生理学和神经放射学数据的评估可以对TLE患者难治性癫痫的风险进行分层。

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