TY - JOUR
T1 - A companion to the development of common data elements for Sudden Unexpected Death in Epilepsy (SUDEP)
AU - CURE Epilepsy SUDEP Data Standardization Project Steering Committee
AU - Working Group Members
AU - Iyengar, Sloka S.
AU - O'Loughlin, Elaine K.
AU - Harte-Hargrove, Lauren
AU - Holmay, Mary
AU - Lubbers, Laura S.
AU - Bateman, Lisa M.
AU - Glasscock, Edward
AU - Lhatoo, Samden
AU - Ryvlin, Philippe
AU - Simeone, Kristina
AU - Szabo, Charles Akos
AU - Lapham, Gardiner
AU - Auerbach, David
AU - Buchanan, Gordon
AU - Buchhalter, Jeffrey
AU - Diehl, Beate
AU - Donner, Elizabeth
AU - Faingold, Carl
AU - Friedman, Daniel
AU - Gross, Christina
AU - Gu, Bin
AU - Kalume, Franck
AU - King, David Ryan
AU - Lecumberri, Nuria
AU - Mueller, Susanne
AU - Nobis, William
AU - Noebels, Jeffrey
AU - O’Brien, Terence
AU - Patel, Manoj
AU - Richerson, George
AU - Schachter, Steven
AU - Simeone, Timothy
AU - Wenker, Ian
N1 - Publisher Copyright: © 2025 CURE Epilepsy. Epilepsia Open published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.
PY - 2025/10
Y1 - 2025/10
N2 - Objective: Sudden unexpected death in epilepsy (SUDEP) is a rare but devastating consequence of epilepsy and is the leading cause of death in people with epilepsy. SUDEP is associated with certain characteristics such as the presence of generalized tonic–clonic seizures, duration of epilepsy, and refractoriness to anti-seizure medications. Despite insights from in vivo models, gaps persist in understanding the biological causes of SUDEP, leading to a lack of preventative tools. Current SUDEP preclinical models and data collection and reporting can vary widely across laboratories, hindering the direct translation of findings to humans. Methods: The 2020 SUDEP Coalition Summit brought together a team of experts to chart areas of growth and tactics to address these areas. A critical research priority revealed during the summit was the development of data standardization tools to unify SUDEP research efforts. In response, CURE Epilepsy established a Steering Committee to oversee an effort to develop data standardization tools and worked with community members composed of experts in specific domains of SUDEP research to define these tools. Results: Experts developed common data elements (CDEs) and case report forms (CRFs) to systematize preclinical SUDEP research. An accompanying publication describes the priority core and death-related information CRF, while the current work describes supplemental CRFs that SUDEP researchers can use. Specifically, CDEs related to neurological variables, physiologic measures, therapeutics and pharmacology, neuroimaging, ex vivo electrophysiology, and additional phenotypes related to epilepsy are described. Significance: Along with the core and death-related CRF, supplemental CRFs can help the unification of SUDEP research by systematizing various endpoints. Adoption of these data standardization tools can also enhance collaboration between teams, hasten the translatability of SUDEP research to the human condition, and ultimately help prevent SUDEP. Plain Language Summary: Preclinical sudden unexpected death in epilepsy (SUDEP) research holds great promise for addressing this fatal condition; however, lack of data standardization remains an issue. Other fields have shown that the incorporation of common data elements (CDEs) can serve to harmonize data across groups, increase rigor, and improve translatability. An accompanying paper describes “Core” CDEs that could be used by all SUDEP preclinical researchers; the current manuscript describes related, supplemental CDEs applicable to researchers depending on their specific scientific question. These include neurological and physiological measures, therapeutics and pharmacology, neuroimaging, ex vivo electrophysiology, and additional phenotypes related to epilepsy.
AB - Objective: Sudden unexpected death in epilepsy (SUDEP) is a rare but devastating consequence of epilepsy and is the leading cause of death in people with epilepsy. SUDEP is associated with certain characteristics such as the presence of generalized tonic–clonic seizures, duration of epilepsy, and refractoriness to anti-seizure medications. Despite insights from in vivo models, gaps persist in understanding the biological causes of SUDEP, leading to a lack of preventative tools. Current SUDEP preclinical models and data collection and reporting can vary widely across laboratories, hindering the direct translation of findings to humans. Methods: The 2020 SUDEP Coalition Summit brought together a team of experts to chart areas of growth and tactics to address these areas. A critical research priority revealed during the summit was the development of data standardization tools to unify SUDEP research efforts. In response, CURE Epilepsy established a Steering Committee to oversee an effort to develop data standardization tools and worked with community members composed of experts in specific domains of SUDEP research to define these tools. Results: Experts developed common data elements (CDEs) and case report forms (CRFs) to systematize preclinical SUDEP research. An accompanying publication describes the priority core and death-related information CRF, while the current work describes supplemental CRFs that SUDEP researchers can use. Specifically, CDEs related to neurological variables, physiologic measures, therapeutics and pharmacology, neuroimaging, ex vivo electrophysiology, and additional phenotypes related to epilepsy are described. Significance: Along with the core and death-related CRF, supplemental CRFs can help the unification of SUDEP research by systematizing various endpoints. Adoption of these data standardization tools can also enhance collaboration between teams, hasten the translatability of SUDEP research to the human condition, and ultimately help prevent SUDEP. Plain Language Summary: Preclinical sudden unexpected death in epilepsy (SUDEP) research holds great promise for addressing this fatal condition; however, lack of data standardization remains an issue. Other fields have shown that the incorporation of common data elements (CDEs) can serve to harmonize data across groups, increase rigor, and improve translatability. An accompanying paper describes “Core” CDEs that could be used by all SUDEP preclinical researchers; the current manuscript describes related, supplemental CDEs applicable to researchers depending on their specific scientific question. These include neurological and physiological measures, therapeutics and pharmacology, neuroimaging, ex vivo electrophysiology, and additional phenotypes related to epilepsy.
KW - additional phenotypes
KW - case report form
KW - common data element
KW - electrophysiology
KW - neuroimaging
KW - neurological
KW - physiology
KW - therapeutics
KW - translation
UR - https://www.scopus.com/pages/publications/105013786875
U2 - 10.1002/epi4.70103
DO - 10.1002/epi4.70103
M3 - Article
C2 - 40782095
SN - 2470-9239
VL - 10
SP - 1439
EP - 1449
JO - Epilepsia Open
JF - Epilepsia Open
IS - 5
ER -