Clinical manifestations of early seizures after glioma resection and construction of a risk prediction nomogram model
CHEN Xiaoming
YU Rutong
CHEN Haitao
CHEN Lili
Abstract：Objective To analyze the clinical features of early epileptic seizures after glioma resection and construct a risk prediction nomogram model.Methods 317 patients who underwent glioma resection in our hospital from January 2022 to January 2025 were enrolled in this study.According to the occurrence of early postoperative epileptic seizures,the patients were divided into the occurrence group(n=32)and the non-occurrence group(n=285).Clinical features of early postoperative epileptic seizures were recorded.Multivariate logistic regression was used to screen the influencing factors of early postoperative epileptic seizures,and a risk prediction nomogram model was constructed.The calibration curve and receiver operating characteristic(ROC)curve were used for internal validation,and decision curve analysis(DCA)was used for clinical utility evaluation.Results Early postoperative epilepsy was mainly characterized by tonic-clonic seizures.There were statistically significant differences in the location,maximum diameter and pathological grading of tumors,preoperative history of epilepsy,and prophylactic use of anti-epileptic drugs between the two groups(P<0.05).Multivariate logistic regression analysis showed that pathological grading,preoperative history of epilepsy,and prophylactic use of anti-epileptic drugs were independent influencing factors of postoperative early epileptic seizures(P<0.05).The nomogram model formula was Z=-1.023*pathological grading+1.251*preoperative history of epilepsy+0.818*prophylactic use of anti-epileptic drugs-2.872.Hosmer-Lemeshow test showed good fit(χ2=2.326,P=0.969).The area under the ROC curve(AUC)was 0.800,and the calibration curve was close to the ideal curve.DCA showed that net clinical benefits could be obtained when the threshold probability was between 0.09 and 0.76.Conclusion The incidence of epilepsy after glioma resection is related to pathological grading,preoperative history of epilepsy,and prophylactic use of anti-epileptic drugs.The nomogram model constructed on this analysis demonstrates good prediction efficiency.
Keywords：glioma resectionepilepsyclinical manifestationnomogrammodel construction
Publication Date：2025-10-28
Online Publishing Date：2025-10-09(First online date of this platform, not the publication date of the document)
Pages：6( 136-141 )