Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool

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dc.contributor.authorWeil, Alexander G.
dc.contributor.authorLewis, Evan C.
dc.contributor.authorIbrahim, George M.
dc.contributor.authorKola, Olivia
dc.contributor.authorTseng, Chi-Hong
dc.contributor.authorZhou, Xinkai
dc.contributor.authorLin, Kao-Min
dc.contributor.authorCai, Li-Xin
dc.contributor.authorLiu, Qing-Zhu
dc.contributor.authorLin, Jiu-Luan
dc.contributor.authorZhou, Wen-Jing
dc.contributor.authorMathern, Gary W.
dc.contributor.authorSmyth, Matthew D.
dc.contributor.authorO'Neill, Brent R.
dc.contributor.authorDudley, Roy
dc.contributor.authorRagheb, John
dc.contributor.authorBhatia, Sanjiv
dc.contributor.authorDelev, Daniel
dc.contributor.authorRamantani, Georgia
dc.contributor.authorZentner, Josef
dc.contributor.authorOjemann, Jeffrey
dc.contributor.authorWang, Anthony C.
dc.contributor.authorDorfer, Christian
dc.contributor.authorFeucht, Martha
dc.contributor.authorCzech, Thomas
dc.contributor.authorBollo, Robert J.
dc.contributor.authorIssabekov, Galymzhan
dc.contributor.authorZhu, Hongwei
dc.contributor.authorConnelly, Mary
dc.contributor.authorSteinbok, Paul
dc.contributor.authorZhang, Jian-Guo
dc.contributor.authorZhang, Kai
dc.contributor.authorHidalgo, Eveline Teresa
dc.contributor.authorWeiner, Howard L.
dc.contributor.authorWong-Kisiel, Lily
dc.contributor.authorLapalme-Remis, Samuel
dc.contributor.authorTripathi, Manjari
dc.contributor.authorSarat Chandra, Poodipedi
dc.contributor.authorHader, Walter
dc.contributor.authorWang, Feng-Peng
dc.contributor.authorYao, Yi
dc.contributor.authorOlivier Champagne, Pierre
dc.contributor.authorGuo, Qiang
dc.contributor.authorLi, Shao-Chun
dc.contributor.authorBudke, Marcelo
dc.contributor.authorPerez-Jimenez, Maria Angeles
dc.contributor.authorRaftapoulos, Christian
dc.contributor.authorFinet, Patrice
dc.contributor.authorMichel, Pauline
dc.contributor.authorSchaller, Karl
dc.contributor.authorStienen, Martin N.
dc.contributor.authorBaro, Valentina
dc.contributor.authorCantillano Malone, Christian
dc.contributor.authorPociecha, Juan
dc.contributor.authorChamorro, Noelia
dc.contributor.authorMuro, Valeria L.
dc.contributor.authorvon Lehe, Marec
dc.contributor.authorVieker, Silvia
dc.contributor.authorOluigbo, Chima
dc.contributor.authorGaillard, William D.
dc.contributor.authorAl Khateeb, Mashael
dc.contributor.authorAl Otaibi, Faisal
dc.contributor.authorKrayenbuhl, Niklaus
dc.contributor.authorBolton, Jeffrey
dc.contributor.authorPearl, Phillip L.
dc.contributor.authorFallah, Aria
dc.date.accessioned2025-01-20T23:53:21Z
dc.date.available2025-01-20T23:53:21Z
dc.date.issued2021
dc.description.abstractObjective To develop and validate a model to predict seizure freedom in children undergoing cerebral hemispheric surgery for the treatment of drug-resistant epilepsy.
dc.description.abstractMethods 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.
dc.description.abstractResults 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.
dc.description.abstractSignificance 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.
dc.fuente.origenWOS
dc.identifier.doi10.1111/epi.16861
dc.identifier.eissn1528-1167
dc.identifier.issn0013-9580
dc.identifier.urihttps://doi.org/10.1111/epi.16861
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/94956
dc.identifier.wosidWOS:000628326300001
dc.issue.numero5
dc.language.isoen
dc.pagina.final1073
dc.pagina.inicio1064
dc.revistaEpilepsia
dc.rightsacceso restringido
dc.subjecthemispheric surgery
dc.subjectprognostication tool
dc.subjectseizure outcomes
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleHemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool
dc.typeartículo
dc.volumen62
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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