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A scale for prediction of response to AEDs in patients with MRI-negative epilepsy.
Yang, Shi-Jun; He, Gui-Nv; Han, Xiong; Wang, Na; Chen, Yi; Zhu, Xue-Rui; Ma, Bing-Qian; Li, Ming-Min; Zhao, Pan; Chen, Ya-Nan; Zhao, Ting; Ma, Huan.
Affiliation
  • Yang SJ; Department of Neurology, Zhengzhou University People's Hospital, Henan Province, Zhengzhou 450003, China.
  • He GN; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Han X; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China. Electronic address: hanxiong7589@126.com.
  • Wang N; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Chen Y; Clinical research service center, Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Zhu XR; Department of Neurology, Zhengzhou University People's Hospital, Henan Province, Zhengzhou 450003, China.
  • Ma BQ; Department of Neurology, Zhengzhou University People's Hospital, Henan Province, Zhengzhou 450003, China.
  • Li MM; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Zhao P; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Chen YN; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Zhao T; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Ma H; Department of Neurology, Zhengzhou University People's Hospital, Henan Province, Zhengzhou 450003, China.
Epilepsy Behav ; 94: 41-46, 2019 05.
Article in En | MEDLINE | ID: mdl-30884406
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electroencephalography / Epilepsy / Anticonvulsants Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged Language: En Journal: Epilepsy Behav Journal subject: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Year: 2019 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electroencephalography / Epilepsy / Anticonvulsants Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged Language: En Journal: Epilepsy Behav Journal subject: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Year: 2019 Document type: Article Affiliation country: China