Department of Computer Science, Duke University, Durham, NC, USA.
Deptartment of Statistics and Operation Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Lancet Digit Health. 2023 Aug;5(8):e495-e502. doi: 10.1016/S2589-7500(23)00088-2. Epub 2023 Jun 7.
Epileptiform activity is associated with worse patient outcomes, including increased risk of disability and death. However, the effect of epileptiform activity on neurological outcome is confounded by the feedback between treatment with antiseizure medications and epileptiform activity burden. We aimed to quantify the heterogeneous effects of epileptiform activity with an interpretability-centred approach.
We did a retrospective, cross-sectional study of patients in the intensive care unit who were admitted to Massachusetts General Hospital (Boston, MA, USA). Participants were aged 18 years or older and had electrographic epileptiform activity identified by a clinical neurophysiologist or epileptologist. The outcome was the dichotomised modified Rankin Scale (mRS) at discharge and the exposure was epileptiform activity burden defined as mean or maximum proportion of time spent with epileptiform activity in 6 h windows in the first 24 h of electroencephalography. We estimated the change in discharge mRS if everyone in the dataset had experienced a specific epileptiform activity burden and were untreated. We combined pharmacological modelling with an interpretable matching method to account for confounding and epileptiform activity-antiseizure medication feedback. The quality of the matched groups was validated by the neurologists.
Between Dec 1, 2011, and Oct 14, 2017, 1514 patients were admitted to Massachusetts General Hospital intensive care unit, 995 (66%) of whom were included in the analysis. Compared with patients with a maximum epileptiform activity of 0 to less than 25%, patients with a maximum epileptiform activity burden of 75% or more when untreated had a mean 22·27% (SD 0·92) increased chance of a poor outcome (severe disability or death). Moderate but long-lasting epileptiform activity (mean epileptiform activity burden 2% to <10%) increased the risk of a poor outcome by mean 13·52% (SD 1·93). The effect sizes were heterogeneous depending on preadmission profile-eg, patients with hypoxic-ischaemic encephalopathy or acquired brain injury were more adversely affected compared with patients without these conditions.
Our results suggest that interventions should put a higher priority on patients with an average epileptiform activity burden 10% or greater, and treatment should be more conservative when maximum epileptiform activity burden is low. Treatment should also be tailored to individual preadmission profiles because the potential for epileptiform activity to cause harm depends on age, medical history, and reason for admission.
National Institutes of Health and National Science Foundation.
癫痫样活动与患者预后较差有关,包括残疾和死亡风险增加。然而,抗癫痫药物治疗与癫痫样活动负担之间的反馈使癫痫样活动对神经功能结果的影响变得复杂。我们旨在通过以解释为中心的方法来量化癫痫样活动的异质性影响。
我们对马萨诸塞州综合医院(美国波士顿)重症监护病房的患者进行了回顾性、横断面研究。参与者年龄在 18 岁及以上,由临床神经生理学家或癫痫专家确定有脑电图癫痫样活动。结果是出院时的改良 Rankin 量表(mRS)的二分位数,暴露是在脑电图的前 24 小时内,6 小时窗内癫痫样活动所占的时间比例的平均值或最大值。我们估计如果数据集内的每个人都经历了特定的癫痫样活动负担且未接受治疗,那么出院时 mRS 的变化。我们结合药理学模型和可解释的匹配方法来解释混杂因素和癫痫样活动-抗癫痫药物反馈的影响。神经科医生验证了匹配组的质量。
2011 年 12 月 1 日至 2017 年 10 月 14 日期间,共有 1514 名患者入住马萨诸塞州综合医院重症监护病房,其中 995 名(66%)被纳入分析。与最大癫痫样活动为 0 至小于 25%的患者相比,未治疗时最大癫痫样活动负担为 75%或更高的患者,其不良结局(严重残疾或死亡)的可能性平均增加 22.27%(标准差 0.92)。中度但持续时间较长的癫痫样活动(平均癫痫样活动负担 2%至<10%)使不良结局的风险平均增加 13.52%(标准差 1.93)。效应大小因入院前情况而异,例如,与无这些情况的患者相比,缺氧缺血性脑病或获得性脑损伤的患者受影响更大。
我们的结果表明,干预措施应优先考虑平均癫痫样活动负担为 10%或更高的患者,而当最大癫痫样活动负担较低时,治疗应更加保守。由于癫痫样活动造成伤害的可能性取决于年龄、病史和入院原因,因此治疗也应根据个体入院前的情况进行调整。
美国国立卫生研究院和美国国家科学基金会。