Clinical characteristics and outcomes of patients with post-stroke epilepsy: protocol for an individual patient data meta-analysis from the International Post-stroke Epilepsy Research Repository (IPSERR)
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David S Liebeskind,
Jesse Dawson,
Katharina S Sunnerhagen,
Patrick Kwan,
Terence J Quinn,
Zongyuan Ge,
Masafumi Ihara,
Alon Friedman,
Johan Zelano,
Scott E Kasner,
John-Paul Nicolo,
Vijay K Sharma,
Clarissa L Yasuda,
Fernando Cendes,
Jerome Engel,
Tomotaka Tanaka,
Nishant K Mishra,
Fabien Scalzo,
Yize Zhao,
Shubham Misra,
Selena Wang,
Rajarshi Mazumder,
Melissa C Funaro
Affiliations
David S Liebeskind
Department of Neurology, University of California Los Angeles, Los Angeles, California, USA
Jesse Dawson
Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
Katharina S Sunnerhagen
Department of Clinical Neuroscience, University of Gothenburg, Goteborg, Västra Götaland, Sweden
Patrick Kwan
Department of Neuroscience, Monash University, Clayton, Victoria, Australia
Terence J Quinn
Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
Zongyuan Ge
Department of Neuroscience, Monash University, Clayton, Victoria, Australia
Masafumi Ihara
Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan
Alon Friedman
Johan Zelano
Department of Clinical Neuroscience, University of Gothenburg, Goteborg, Västra Götaland, Sweden
Scott E Kasner
Department of Neurology, The University of Pennsylvania, Philadelphia, Pennsylvania, USA
John-Paul Nicolo
Department of Neuroscience, Monash University, Clayton, Victoria, Australia
Vijay K Sharma
Division of Neurology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
Clarissa L Yasuda
Department of Neurology, School of Medical Sciences, University of Campinas – UNICAMP, Campinas, SP, Brazil
Fernando Cendes
Department of Neurology, School of Medical Sciences, University of Campinas – UNICAMP, Campinas, SP, Brazil
Jerome Engel
Tomotaka Tanaka
Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan
Nishant K Mishra
Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
Fabien Scalzo
Department of Neurology, University of California Los Angeles, Los Angeles, California, USA
Yize Zhao
Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA
Shubham Misra
Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
Selena Wang
Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA
Rajarshi Mazumder
Department of Neurology, University of California Los Angeles, Los Angeles, California, USA
Melissa C Funaro
Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, Connecticut, USA
Introduction Despite significant advances in managing acute stroke and reducing stroke mortality, preventing complications like post-stroke epilepsy (PSE) has seen limited progress. PSE research has been scattered worldwide with varying methodologies and data reporting. To address this, we established the International Post-stroke Epilepsy Research Consortium (IPSERC) to integrate global PSE research efforts. This protocol outlines an individual patient data meta-analysis (IPD-MA) to determine outcomes in patients with post-stroke seizures (PSS) and develop/validate PSE prediction models, comparing them with existing models. This protocol informs about creating the International Post-stroke Epilepsy Research Repository (IPSERR) to support future collaborative research.Methods and analysis We utilised a comprehensive search strategy and searched MEDLINE, Embase, PsycInfo, Cochrane, and Web of Science databases until 30 January 2023. We extracted observational studies of stroke patients aged ≥18 years, presenting early or late PSS with data on patient outcome measures, and conducted the risk of bias assessment. We did not apply any restriction based on the date or language of publication. We will invite these study authors and the IPSERC collaborators to contribute IPD to IPSERR. We will review the IPD lodged within IPSERR to identify patients who developed epileptic seizures and those who did not. We will merge the IPD files of individual data and standardise the variables where possible for consistency. We will conduct an IPD-MA to estimate the prognostic value of clinical characteristics in predicting PSE.Ethics and dissemination Ethics approval is not required for this study. The results will be published in peer-reviewed journals. This study will contribute to IPSERR, which will be available to researchers for future PSE research projects. It will also serve as a platform to anchor future clinical trials.Trial registration number NCT06108102
