University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Neurocrit Care. 2018 Jun;28(3):353-361. doi: 10.1007/s12028-017-0489-1.
Status epilepticus (SE) has been identified as a predictor of morbidity and mortality in many acute brain injury patient populations. We aimed to assess the prevalence and impact of SE after intracerebral hemorrhage (ICH) in a large patient sample to overcome limitations in previous small patient sample studies.
We queried the Nationwide Inpatient Sample for patients admitted for ICH from 1999 to 2011, excluding patients with other acute brain injuries. Patients were stratified into SE diagnosis and no SE diagnosis cohorts. We identified independent risk factors for SE and assessed the impact of SE on morbidity and mortality with multivariable logistic regression models. Logistic regression was used to evaluate the trend in SE diagnoses over time as well.
SE was associated with significantly increased odds of both mortality and morbidity (odds ratios (OR) 1.18 [confidence intervals (CI) 1.01-1.39], and OR 1.53 [CI 1.22-1.91], respectively). Risk factors for SE included female sex (OR 1.17 [CI 1.01-1.35]), categorical van Walraven score (vWr 5-14: OR 1.68 [CI 1.41-2.01]; vWr > 14: OR 3.77 [CI 2.98-4.76]), sepsis (OR 2.06 [CI 1.58-2.68]), and encephalopathy (OR 3.14 [CI 2.49-3.96]). Age was found to be associated with reduced odds of SE (OR 0.97 [CI 0.97-0.97]). From 1999 to 2011, prevalence of SE diagnosis increased from 0.25 to 0.61% (p < 0.001). Factors associated with SE were female sex, medium and high risk vWr score, sepsis, and encephalopathy. Independent predictors associated with increased mortality from SE were increased age, pneumonia, myocardial infarction, cardiac arrest, and sepsis.
SE is a significant, likely underdiagnosed, predictor of morbidity and mortality after ICH. Future studies are necessary to better identify which patients are at highest risk of SE to guide resource utilization.
癫痫持续状态(SE)已被确定为许多急性脑损伤患者人群发病率和死亡率的预测因素。我们旨在评估大样本患者中颅内出血(ICH)后 SE 的患病率和影响,以克服以前小样本患者研究的局限性。
我们从 1999 年至 2011 年的全国住院患者样本中查询因 ICH 入院的患者,排除其他急性脑损伤患者。患者分为 SE 诊断和无 SE 诊断队列。我们确定了 SE 的独立危险因素,并使用多变量逻辑回归模型评估了 SE 对发病率和死亡率的影响。逻辑回归用于评估 SE 诊断随时间的趋势。
SE 与死亡率和发病率的几率显著增加相关(比值比(OR)分别为 1.18(95%置信区间(CI)为 1.01-1.39)和 1.53(CI 为 1.22-1.91))。SE 的危险因素包括女性(OR 1.17(CI 1.01-1.35))、分类范瓦尔拉文评分(vWr 5-14:OR 1.68(CI 1.41-2.01);vWr>14:OR 3.77(CI 2.98-4.76))、败血症(OR 2.06(CI 1.58-2.68))和脑病(OR 3.14(CI 2.49-3.96))。年龄与 SE 几率降低有关(OR 0.97(CI 0.97-0.97))。1999 年至 2011 年间,SE 诊断的患病率从 0.25%增加到 0.61%(p<0.001)。与 SE 相关的因素包括女性、中高危 vWr 评分、败血症和脑病。与 SE 相关的死亡率增加的独立预测因素包括年龄增加、肺炎、心肌梗死、心脏骤停和败血症。
SE 是 ICH 后发病率和死亡率的重要、可能被低估的预测因素。需要进一步研究以更好地确定哪些患者发生 SE 的风险最高,以指导资源利用。