1. A scale for prediction of response to AEDs in patients with MRI-negative epilepsy
- Author
-
Ting Zhao, Ming-min Li, Xiong Han, Pan Zhao, Shijun Yang, Huan Ma, Yanan Chen, Gui-nv He, Bing-qian Ma, Na Wang, Xue-rui Zhu, and Yi Chen
- Subjects
Adult ,Male ,Drug Resistant Epilepsy ,medicine.medical_specialty ,Adolescent ,Logistic regression ,Sensitivity and Specificity ,Likelihood ratios in diagnostic testing ,Young Adult ,03 medical and health sciences ,Behavioral Neuroscience ,Epilepsy ,0302 clinical medicine ,Predictive Value of Tests ,Risk Factors ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Child ,Retrospective Studies ,Univariate analysis ,Framingham Risk Score ,medicine.diagnostic_test ,business.industry ,Area under the curve ,Electroencephalography ,Magnetic resonance imaging ,Middle Aged ,Prognosis ,medicine.disease ,Magnetic Resonance Imaging ,Logistic Models ,Neurology ,Anticonvulsants ,Female ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
Objectives Antiepileptic drugs (AEDs) are the first choice in magnetic resonance imaging (MRI)-negative patients with epilepsy, although the responses to AEDs are diverse. Preoperative evaluation and postoperative prognosis in MRI-negative epilepsy have been reported. However, there are few tools for predicting the response to AEDs. Herein, we developed an AED response scale based on clinical factors and video-electroencephalography (VEEG) in MRI-negative patients with epilepsy. Methods A total of 132 consecutive patients with MRI-negative epilepsy at the Epilepsy Center of Henan Provincial People's Hospital between August 2016 and August 2018 were included. Patients were further divided into drug-responsive epilepsy ([DSE-MRI (−)]; n = 101) and drug-resistant epilepsy ([DRE-MRI (−)]; n = 31) groups. The clinical and VEEG factors were evaluated in univariate analyses and multivariate logistic regression analyses. A scale was derived and the scores categorized into 3 risk levels of DRE-MRI (−). Results A scale was established based on 4 independent risk factors for DRE-MRI (−). The scale had a sensitivity of 83.87%, specificity of 80.20%, positive likelihood ratio of 4.24, negative likelihood ratio of 0.20, and showed good discrimination with the area under the curve (AUC) of 0.886 (0.826–0.946). The categorization of the risk score based on this scale was: low risk (0–3 points), medium risk (3–5 points), and high risk (> 5 points). Conclusion We established a DRE-MRI (−) scale with a good sensitivity and specificity, which may be useful for clinicians when making medical decisions in patients with MRI-negative epilepsy.
- Published
- 2019