Bojing Tan, Yuye Liu, Mingkun Gong, Fangang Meng, Anchao Yang, Kai Zhang, Lin Sang, Jianguo Zhang
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引用次数: 0
摘要
背景:目前已有多项指标分析了迷走神经刺激(VNS)对耐药癫痫(drug-resistant epilepsy, DRE)患者疗效的影响,但仍没有明确的预测指标。本研究旨在评估VNS在DRE患者中的长期疗效和预测因素。方法:我们分析了DRE患者术后监测一年多(2016-2019)来评估VNS结果。采用Logistic回归确定疗效预测因子。结果:162例DRE伴VNS患者中,随访超过12个月99例,随访超过24个月80例,随访超过36个月70例。12个月时,33例(33.4%)有效,其中7例(7.1%)无癫痫发作。24个月时有效32例(40.0%),其中无癫痫12例(15.0%)。36个月时有效36例(51.4%),其中无癫痫11例(15.7%)。5年后有效27例(55.1%),其中无发作8例(16.3%)。多因素回归分析发现结构病因是VNS有效治疗的预测因素(P = 0.039, OR = 0.35[0.13-0.95])。结论:VNS可有效控制癫痫发作,其有效性和无癫痫发作率随时间推移而提高。有结构因素的患者有更高的VNS无效风险,提示癫痫病因可以预测VNS结果。
Long-term efficacy and predictors of vagus nerve stimulation in drug-resistant epilepsy: a multicenter cohort study.
Background: At present, a number of indicators have been analyzed for the relationship with the efficacy of vagus nerve stimulation (VNS) in drug-resistant epilepsy (DRE) patients, but there is still no definite predictor of efficacy. This study is to assess the long-term effectiveness and predictors of VNS in DRE patients.
Methods: We analyzed DRE patients monitored for over a year post-surgery (2016-2019) to evaluate VNS outcomes. Logistic regression was used to identify efficacy predictors.
Results: Out of 162 DRE patients with VNS, 99 were followed for over 12 months, 80 for over 24 months, and 70 for over 36 months. At 12 months, 33 (33.4%) showed effectiveness, including 7 (7.1%) who were seizure-free. At 24 months, 32 (40.0%) were effective, including 12 (15.0%) who were seizure-free. At 36 months, 36 (51.4%) were effective, including 11 (15.7%) who were seizure-free. After 5 years, 27 (55.1%) were effective, including 8 (16.3%) who were seizure-free. Multivariate regression analysis identified structural etiology as a predictive factor for the effective VNS treatment (P = 0.039, OR = 0.35 [0.13-0.95]).
Conclusions: VNS effectively controls seizures, with effectiveness and seizure-free rates improving over time. Patients with structural factors are at higher risk of ineffective VNS, suggesting epilepsy etiology may predict VNS outcomes.