Objective

To analyze the association between electroencephalographic (EEG) patterns and overall, short- and long-term mortality in patients with hypoxic encephalopathy (HE).

Methods

Retrospective, mono-center analysis of 199 patients using univariate log-rank tests (LR) and multivariate cox regression (MCR).

Results

Short-term mortality, defined as death within 30-days post-discharge was 54.8%. Long-term mortality rates were 69.8%, 71.9%, and 72.9%, at 12-, 24-, and 36-months post-HE, respectively. LR revealed a significant association between EEG suppression (SUP) and short-term mortality, and identified low voltage EEG (LV), burst suppression (BSP), periodic discharges (PD) and post-hypoxic status epilepticus (PSE) as well as missing (aBA) or non-reactive background activity (nrBA) as predictors for overall, short- and long-term mortality. MCR indicated SUP, LV, BSP, PD, aBA and nrBA as significantly associated with overall and short-term mortality to varying extents. LV and BSP were significant predictors for long-term mortality in short-term survivors. Rhythmic delta activity, stimulus induced rhythmic, periodic or ictal discharges and sharp waves were not significantly associated with a higher mortality.

Conclusion

The presence of several specific EEG patterns can help to predict overall, short- and long-term mortality in HE patients.

Significance

The present findings may help to improve the challenging prognosis estimation in HE patients.

中文翻译：

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缺氧性脑病患者的脑电图模式及其与短期和长期死亡率的相关性

客观的

分析脑电图 (EEG) 模式与缺氧性脑病 (HE) 患者总体、短期和长期死亡率之间的关联。

方法

使用单变量对数秩检验 (LR) 和多变量 cox 回归 (MCR) 对 199 名患者进行回顾性单中心分析。

结果

短期死亡率（定义为出院后 30 天内的死亡）为 54.8%。HE 后 12、24 和 36 个月的长期死亡率分别为 69.8%、71.9% 和 72.9%。LR 揭示了 EEG 抑制 (SUP) 与短期死亡率之间的显着关联，并确定了低电压 EEG (LV)、爆发抑制 (BSP)、周期性放电 (PD) 和缺氧后癫痫持续状态 (PSE) 以及缺失(aBA) 或非反应性背景活动 (nrBA) 作为整体、短期和长期死亡率的预测因子。MCR 表明 SUP、LV、BSP、PD、aBA 和 nrBA 在不同程度上与总体和短期死亡率显着相关。LV 和 BSP 是短期幸存者长期死亡率的重要预测因子。有节奏的 delta 活动，刺激诱发的有节奏的，

结论

几种特定 EEG 模式的存在有助于预测 HE 患者的整体、短期和长期死亡率。

意义

目前的发现可能有助于改善 HE 患者具有挑战性的预后评估。