Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106.
Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44106.
Ann Clin Transl Neurol. 2019 Nov;6(11):2230-2239. doi: 10.1002/acn3.50925. Epub 2019 Oct 27.
This study was designed to investigate if highly epileptic electroencephalogram (EEG) findings in patients with acute brain injury increase the long-term risk of epilepsy development.
Adults patients, lacking epilepsy history, with electrographic seizures or lateralized periodic discharges (LPDs) (cases) were identified and matched based on age, mental status, and etiology with the ones lacking any epileptiform activity (controls) on continuous EEG (cEEG) during hospitalization. The primary outcome of clinical seizures after hospital discharge and their antiepileptic drug (AED) status was determined using a telephonic interview. Logistic regression models using generalized estimating equations to account for the matched nature of the data were performed.
A total of 70 cases [16 (22.9%) "LPDs only," 34 (48.6%) "electrographic seizure only," and 20 (28.6%) "both"] and controls were enrolled. A total of 22 (31.4%) cases developed epilepsy after a mean follow-up duration of 20.6 ± 5.0 months compared to three (4.3%) controls. After adjusting for cEEG indication and follow-up duration, the odds of cases developing epilepsy were almost 15 times higher compared to the controls (OR = 14.8, 95% CI = 2.4-92.3, P = 0.004). This elevated risk was despite a 10 times higher likelihood of cases to be taking AEDs at the last follow-up (OR = 10.34, 95% CI = 3.7-29, P < 0.001).
Highly epileptic EEG findings in patients with acute brain injury may serve as prognostic biomarkers of epilepsy development. Although prospective studies are required to confirm our findings, it seems that with epilepsy developing in almost one-third cases in less than 2-year follow-up period, such patients may potentially be ideal candidates for epilepsy prevention clinical trials.
本研究旨在探讨急性脑损伤患者存在高度癫痫样脑电图(EEG)表现是否会增加癫痫长期发展的风险。
在住院期间,通过连续脑电图(cEEG)确定并匹配无癫痫病史、存在电发作或局灶性周期性放电(LPD)(病例)的成年患者,以及不存在任何癫痫样活动(对照)的患者。通过电话访谈确定出院后临床发作的主要结局及其抗癫痫药物(AED)状态。使用广义估计方程的逻辑回归模型来解释数据的匹配性质。
共纳入 70 例病例[16 例(22.9%)为“仅 LPD”,34 例(48.6%)为“仅电发作”,20 例(28.6%)为“两者均有”]和对照。在平均 20.6±5.0 个月的随访后,共有 22 例(31.4%)病例发展为癫痫,而对照组仅有 3 例(4.3%)。在调整 cEEG 指征和随访时间后,病例发生癫痫的几率是对照组的近 15 倍(OR=14.8,95%CI=2.4-92.3,P=0.004)。尽管病例在最后一次随访时服用 AED 的可能性高出 10 倍(OR=10.34,95%CI=3.7-29,P<0.001),但仍存在这种风险。
急性脑损伤患者存在高度癫痫样 EEG 表现可能是癫痫发展的预后生物标志物。尽管需要前瞻性研究来证实我们的发现,但似乎在不到 2 年的随访期内,近三分之一的病例出现癫痫发作,这些患者可能是癫痫预防临床试验的理想候选者。