Abstract
OBJECTIVE: To identify independent risk factors of pre-and postoperative seizures in meningioma patients. METHODS: This is a retrospective single-center analysis of consecutive patients that underwent resection of intracranial meningioma between 2004 and 2017. The impact of patient and tumor characteristics on pre-and postoperative seizures was assessed by univariate and binary logistic regression analysis. RESULTS: Among 729 included patients, pre-and postoperative seizures occurred in 18.9% and 10.0%, respectively. In the univariate analysis, female gender (p = 0.013), preoperative motor deficits (p < 0.001) and peritumoral edema (p < 0.001) were associated with preoperative seizures. Headache (p < 0.001), preoperative sensoric symptoms (p < 0001) and occipital tumor location (p = 0.024) were negatively correlated with preoperative seizures. In the multivariate analysis, preoperative motor deficits (p < 0.001, OR: 3.9, 95% CI: 2.6 5.9) and peritumoral edema (p < 0.001, OR: 3.5, 95% CI: 1.8 6.7) were independent risk factors of preoperative seizures. In the univariate analysis postoperative seizures were significantly associated with parietal tumor location (p= 0.021), WHO grades 2 and 3 (p < 0.001), presence of multiple meningiomas (p = 0.034), incomplete tumor resection (Simpson grade > 2, p = 0.007) and recurrent meningioma (p = 0.001). Incomplete resection (p = 0.04, OR: 2.6, 95% CI: 1.1 6.6) and recurrent meningioma (p = 0.037, OR: 2.6, 95% CI = 1.1 6.2) remained as independent risk factors for postoperative seizures in the multivariate analysis. CONCLUSIONS: Preoperative motor deficits and peritumoral edema are independent risk factors for preoperative seizures, while incomplete tumor resection and recurrent meningioma are independently associated with postoperative seizures.
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CITATION STYLE
Goertz, L., Hamisch, C., Erdner, N., Muders, H., von Spreckelsen, N., Stavrinou, P., … Krischek, B. (2018). MNGI-18. RISK FACTORS FOR PRE- AND POSTOPERATIVE SEIZURES IN MENINGIOMA PATIENTS IDENTIFIED BY LOGISTIC REGRESSION ANALYSIS. Neuro-Oncology, 20(suppl_6), vi152–vi152. https://doi.org/10.1093/neuonc/noy148.634
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