Related Experiment Video
Updated: Aug 14, 2026

Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy
Published on: September 20, 2024
A clinical nomogram for predicting drug-resistant epilepsy and its long-term persistence in children: a cohort study
Ohcheol Kwon1, Yun Sung Nam1, Hyun-Jin Kim1
1Department of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Insights
A new nomogram helps predict drug-resistant epilepsy (DRE) in children, identifying key factors like psychiatric disorders and seizure onset. This tool aids in early risk stratification and personalized treatment for pediatric epilepsy.
Area of Science:
- Pediatric Neurology
- Epileptology
- Clinical Prediction Modeling
Background:
- Drug-resistant epilepsy (DRE) affects a significant portion of pediatric epilepsy cases.
- Accurate prediction and understanding of DRE persistence are crucial for effective management.
Purpose of the Study:
- To develop and validate a clinical prediction nomogram for identifying pediatric patients at risk of DRE.
- To identify predictors associated with the long-term persistence of DRE in children.
Main Methods:
- Retrospective analysis of 4208 pediatric epilepsy patients (0-18 years).
- Development of a nomogram using LASSO regression and multivariable logistic regression.
- Internal validation assessed via discrimination, calibration, and decision curve analyses.
Main Results:
- 33.7% of patients developed DRE; the nomogram showed good predictive performance (validation AUC 0.778).
- In patients with DRE and ≥5 years follow-up, 65.2% had persistent DRE.
- Predictors of persistent DRE included psychiatric disorders, daily seizure frequency, early seizure onset, and perinatal hypoxic-ischemic encephalopathy.
Conclusions:
- The developed nomogram facilitates early risk stratification for pediatric DRE using routine clinical data.
- Identifying distinct predictors of DRE persistence underscores the heterogeneity of the condition and supports tailored management approaches.
Purpose:
To develop and internally validate a clinical prediction nomogram for drug-resistant epilepsy (DRE) in children and to identify predictors of long-term persistence.
Methods:
We retrospectively analyzed the data of 4208 pediatric patients with epilepsy (aged 0-18 years) diagnosed between 1995 and 2017 at a tertiary pediatric center. DRE was defined using the adapted ILAE criteria. The cohort was randomly split into training (70%) and validation (30%) sets for analysis. Predictors were selected using LASSO regression and incorporated into a multivariable logistic regression model presented as a nomogram. The model performance was assessed using discrimination, calibration, and decision curve analyses. Among patients with DRE who were followed up for ≥ 5 years without surgical intervention, predictors of persistent versus resolved DRE were evaluated.
Results:
Of the 4208 patients, 1419 (33.7%) developed DRE. The nomogram demonstrated good discrimination (validation AUC 0.778; 95% CI 0.751-0.805) and adequate calibration. Among 1000 patients with DRE and extended follow-up, 652 (65.2%) had persistent DRE at the last follow-up. Independent predictors of persistence were psychiatric disorders (OR 2.82), daily seizure frequency (OR 1.64), seizure onset before 1 year (OR 1.46), and perinatal hypoxic-ischemic encephalopathy (OR 0.54).
Conclusion:
This nomogram enables early risk stratification of pediatric patients with epilepsy using routine clinical variables. Distinct predictors of persistent versus resolved DRE highlight the heterogeneous nature of drug resistance and support individualized management strategies.
Related Concept Videos
Epilepsy and Seizures: Overview
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Pharmacokinetics in Pediatric Patients: Drug Excretion
Dosage Regimen Designs: Nomograms and Tabulations
Pharmacokinetics in Pediatric Patients: Drug Metabolism
Pharmacokinetics in Pediatric Patients: Overview and Drug Absorption
Pharmacokinetics in Pediatric Patients: Drug Distribution
