Skip to main content

Table 1 Statistical prediction models for the response to AEDs treatment

From: Models for predicting treatment efficacy of antiepileptic drugs and prognosis of treatment withdrawal in epilepsy patients

Study

Study design

Prediction target

Development cohort

Final factors

Validation cohort

AUC

Stratified risks

Boonluksiri et al. 2015 [16]

Retrospective

DRE in children

308 cases in Hatyai Hospital in Thailand

Age onset, prior neurological deficits and abnormal EEG

No

0.76

low risk: < 6 points; moderate risk: 6–12 points; high risk: > 12 points

Yang et al. 2019 [15]

Retrospective

DRE in adults

132 cases at Henan Provincial People’s Hospital in China

EEG before AEDs, history of CNS infection, initial precipitating injuries, and more than one recurrence in the first 6 months

No

0.89

low risk: < 3 points; moderate risk: 3–5 points; high risk: > 5 points

Latzer et al. 2019 [17]

Retrospective

DRE in children with cerebral palsy

281 children with cerebral palsy at the Dana-Dwek Children’s Hospital

Low Apgar score at 5 min, neonatal seizures, focal-onset epilepsy and focal slowing on EEG

No

0.68

No

  1. DRE Drug resistant epilepsy, AUC Area under the curve, EEG Electroencephalogram, MRI Magnetic resonance imaging, CNS Central nervous system