ArticleCureus2025
A New Predictor Score for Postoperative Seizures in Brain Tumor Patients Without a Seizure History (BRAINNN Score).
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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14 authors.
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Abstract
objectiveTo identify risk factors for postoperative seizures in patients with brain tumors without preoperative seizures and develop a predictive scoring system to guide antiepileptic drug (AED) prophylaxis. MATERIAL AND
methodsA retrospective analysis was conducted on patients with intra-axial brain tumors and no history of preoperative seizures or AED use. Logistic regression identified significant predictors of postoperative seizures, and a scoring system was created using receiver operating characteristic (ROC) analysis. Data were drawn from a neuro-oncology database that had been active since 1970.
resultsA total of 446 patients were included from 16,918 records, with a mean age of 45.1 years (67.8% male, 345 with gliomas). Over 20% experienced postoperative seizures. Logistic regression identified five significant predictors, including tumor location, patient age, extent of resection, and neoplastic edema. A scoring system was developed to improve seizure risk assessment and seizure control. The BRAINNN Score (Brain tumor-associated Risk Assessment Index developed at the National Institute of Neurology and Neurosurgery, INNN) is a newly designed predictive tool to estimate the risk of postoperative seizures in brain tumor patients without a prior history of seizures.
conclusionsThis study proposes a personalized approach to AED prophylaxis using a novel, objective scoring system based on clinically relevant factors. This framework has the potential to optimize perioperative care and improve outcomes for patients with brain tumors.
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