CHOP Researchers Use Big Data to Assess Seizure Burden and Improve Outcomes in Pediatric Epilepsy Patients

Published on

Researchers at Children’s Hospital of Philadelphia (CHOP) have demonstrated how to use standardized reporting of clinical data for seizures caused by a variety of neurological disorders, providing fundamental baseline information that can determine what methods work best for keeping seizures under control. The findings were published today in the journal Epilepsia.

In order to make improvements in epilepsy care, clinicians need a reliable and efficient method to measure outcomes. While Electronic Medical Records (EMR) are being used more frequently for research and quality improvement, important epilepsy outcome measures such as seizure frequency or quality of life are not documented in a standardized way that enables researchers to process large-scale data on the subject.

To help standardize how clinical data is recorded for epilepsy visits, the team at CHOP began using common data elements (CDEs) to ensure that relevant data is captured in a comparable way across studies and clinical visits. In this study, the researchers assessed the results from using CDEs in routine care for pediatric epilepsy over a 12-month period.

Mark P. Fitzgerald, MD, PhD Mark P. Fitzgerald, MD, PhD “For those of us who treat pediatric epilepsy patients, we are constantly trying to assess how we’re doing and how we can improve outcomes for our patients,” said Mark P. Fitzgerald, MD, PhD, a pediatric neurologist in the Division of Neurology at CHOP and first author of the study. “This study provides us with fundamental data that will serve as the foundation for how we treat our patients and inform how we achieve the best patient-centered outcomes possible.”

The researchers looked at almost 1,700 visits by more than 1,000 individual patients with childhood epilepsies. The study covered a period of approximately one year, with visits conducted by 32 different providers across the CHOP Network. Overall, 43% of patients had at least one seizure a month, 17% had at least one seizure each day, and 18% of patients were free of seizures for at least one year. The most common epilepsy syndromes were Childhood Absence Epilepsy, Lennox-Gastaut Syndrome, and Dravet Syndrome. The researchers were able to quantify the absolute seizure burden as well as changes in seizure burden over time and the differences between syndromes.

Additionally, because this study was conducted as the COVID-19 pandemic began, the researchers assessed the use of telemedicine to record this information. They found that patients had comparable seizure frequencies whether assessed in-person or via telemedicine. The study also found that patients identifying as Hispanic or Latino, particular from areas with lower median household incomes, were more likely to have ongoing seizures that worsened over time.

Ingo Helbig, MD Ingo Helbig, MD “Currently, CHOP is the only neurology program that generates this level of patient information from ongoing care rather than research studies only,” said senior author Ingo Helbig, MD, attending physician and director of the genomic and data science core of Epilepsy Neurogenetics Initiative (ENGIN) at CHOP. “This study represents a major paradigm shift in how we assess and deliver care to our pediatric neurology patients.”

This study was supported by The Hartwell Foundation through an Individual Biomedical Research Award, the National Institute for Neurological Disorders and Stroke (K02 NS112600), including support through the Center Without Walls on ion channel function in epilepsy (“Channelopathy-associated Research Center”, U54 NS108874), the Eunice Kennedy Shriver National Institute of Child Health and Human Development through the Intellectual and Developmental Disabilities Research Center (IDDRC) at CHOP and the University of Pennsylvania (U54 HD086984), and by intramural funds of the Children’s Hospital of Philadelphia through the Epilepsy NeuroGenetics Initiative. This study was also supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR001878, the German Research Foundation (DFG; HE5415/3-1, HE5415/5- 1, and HE5415/6-1) and the DFG/FNR INTER Research Unit FOR2715 (He5415/7-1). This project was further supported in part by the Institute for Translational Medicine and Therapeutics’ (ITMAT) Transdisciplinary Program in Translational Medicine and Therapeutics at the Perelman School of Medicine of the University of Pennsylvania, and the International League Against Epilepsy (ILAE).

Fitzgerald et al, “Assessing seizure burden in pediatric epilepsy using an electronic medical record-based tool through a common data element approach.” Epilepsia, online June 2, 2021. DOI: 10.1111/epi.16934.