1. Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool
- Author
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Thomas Czech, Galymzhan Issabekov, Yi Yao, Lily C. Wong-Kisiel, Valeria L. Muro, Faisal Al Otaibi, Anthony C. Wang, Chima O. Oluigbo, Noelia Chamorro, Xinkai Zhou, Howard L. Weiner, Christian Raftapoulos, Shao-Chun Li, Jeffrey Bolton, Maria Angeles Pérez-Jiménez, Jianguo Zhang, Martin N. Stienen, Martha Feucht, Mashael Al Khateeb, Josef Zentner, Jiu Luan Lin, Olivia Kola, Daniel Delev, Niklaus Krayenbühl, Chi-Hong Tseng, Evan Cole Lewis, Christian Dorfer, Poodipedi Sarat Chandra, Samuel Lapalme-Remis, Kai Zhang, Valentina Baro, Qiang Guo, Manjari Tripathi, Aria Fallah, Mary Connelly, Hongwei Zhu, Georgia Ramantani, Marcelo Budke, Jeffrey G. Ojemann, Brent R. O'Neill, Matthew D. Smyth, William D. Gaillard, Walter Hader, Marec von Lehe, Roy W. R. Dudley, Li Xin Cai, Pierre Olivier Champagne, Robert J. Bollo, Eveline Teresa Hidalgo, Kao Min Lin, Juan Pociecha, Silvia Vieker, Pauline Michel, Alexander G. Weil, Phillip L. Pearl, John Ragheb, Paul Steinbok, George M. Ibrahim, Karl Lothard Schaller, Wenjing Zhou, P. Finet, Christian Cantillano Malone, Gary W. Mathern, Feng Peng Wang, Qing Zhu Liu, Sanjiv Bhatia, UCL - SSS/IONS - Institute of NeuroScience, UCL - SSS/IONS/NEUR - Clinical Neuroscience, and UCL - (SLuc) Service de neurochirurgie
- Subjects
Male ,0301 basic medicine ,Drug Resistant Epilepsy ,medicine.medical_specialty ,Hemispherectomy ,medicine.medical_treatment ,Cohort Studies ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Physical medicine and rehabilitation ,Risk Factors ,Linear regression ,medicine ,Humans ,Age of Onset ,Child ,Retrospective Studies ,hemispheric surgery ,prognostication tool ,seizure outcomes ,business.industry ,Infant ,Semiology ,Seizure freedom ,Prognosis ,Missing data ,medicine.disease ,Logistic Models ,Treatment Outcome ,030104 developmental biology ,Neurology ,Child, Preschool ,Female ,Neurology (clinical) ,Simple linear regression ,Outcome prediction ,business ,030217 neurology & neurosurgery - Abstract
Objective To develop and validate a model to predict seizure freedom in children undergoing cerebral hemispheric surgery for the treatment of drug-resistant epilepsy. Methods We analyzed 1267 hemispheric surgeries performed in pediatric participants across 32 centers and 12 countries to identify predictors of seizure freedom at 3 months after surgery. A multivariate logistic regression model was developed based on 70% of the dataset (training set) and validated on 30% of the dataset (validation set). Missing data were handled using multiple imputation techniques. Results Overall, 817 of 1237 (66%) hemispheric surgeries led to seizure freedom (median follow-up = 24 months), and 1050 of 1237 (85%) were seizure-free at 12 months after surgery. A simple regression model containing age at seizure onset, presence of generalized seizure semiology, presence of contralateral 18-fluoro-2-deoxyglucose-positron emission tomography hypometabolism, etiologic substrate, and previous nonhemispheric resective surgery is predictive of seizure freedom (area under the curve = .72). A Hemispheric Surgery Outcome Prediction Scale (HOPS) score was devised that can be used to predict seizure freedom. Significance Children most likely to benefit from hemispheric surgery can be selected and counseled through the implementation of a scale derived from a multiple regression model. Importantly, children who are unlikely to experience seizure control can be spared from the complications and deficits associated with this surgery. The HOPS score is likely to help physicians in clinical decision-making.
- Published
- 2021
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