Sleep EEG and respiratory biomarkers of sudden unexpected death in epilepsy (SUDEP): a case–control study

Oman Magana-Tellez, Rama Maganti, Norma J Hupp, Xi Luo, Sandhya Rani, Johnson P Hampson, Manuela Ochoa-Urrea, Sudha S Tallavajhula, Rup K Sainju, Daniel Friedman, Maromi Nei, Brian K Gehlbach, Stephan Schuele, Ronald M Harper, Beate Diehl, Lisa M Bateman, Orrin Devinsky, George B Richerson, Samden D Lhatoo, Nuria Lacuey
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引用次数: 0

Abstract

Background

Sudden unexpected death in epilepsy (SUDEP) is the most common category of epilepsy-related mortality. Centrally mediated respiratory dysfunction has been observed to lead to death in the majority of cases of SUDEP. SUDEP also mainly occurs during nighttime sleep. This study seeks to identify sleep EEG and sleep-related respiratory biomarkers of SUDEP risk.

Methods

In this case–control study, we compared demographic, clinical, EEG, and respiratory data from people with epilepsy who later died of SUDEP (the SUDEP group) with data from age and sex-matched living people with epilepsy, classified as high risk of SUDEP (with ≥1 generalised tonic-clonic seizure [GTCS] per year), low risk of SUDEP (no history of GTCS), and non-epilepsy controls. These data were prospectively collected as part of a multicentre National Institutes of Health study. We analysed sleep macroarchitecture and microarchitecture features and measured sleep homoeostasis by calculating overnight change in slow wave activity (SWA; 0·5–4·0 Hz) in non-rapid eye movement (NREM) sleep during seizure-free nights using linear regression models. We also analysed sleep respiratory metrics, including inter-breath interval variability. We used receiver operating characteristic analysis to assess the individual discriminative performance of demographic, clinical, sleep EEG, and sleep-related respiratory features to predict the risk of SUDEP.

Findings

Between Sept 1, 2011, and Oct 15, 2022, 41 participants who later died of SUDEP and 123 matched controls (41 people living with epilepsy at hight risk of SUDEP, 41 people living with epilepsy at low-risk of SUDEP, and 41 non-epilepsy controls) were enrolled. The SUDEP group showed an abnormal lack of overnight decline and an increase in the slope of SWA power compared with the other groups (SUDEP group mean 0·005 standardised error of the mean [SEM] 0·003; high-SUDEP risk group –0·005, 0·002; low-SUDEP risk group –0·003, 0·002; non-epilepsy controls –0·007, 0·003; p=0·017). The overnight increase in the SWA slope was more pronounced in males compared with females (males mean 0·012, SEM 0·001; females 0·001, 0·002; p=0·005). The variability of the inter-breath interval was significantly higher in the SUDEP (coefficient of variation mean 0·15, SD 0·09; SD mean 0·54 s SD 0·35 s) and high-SUDEP risk groups (0·11, 0·03; 0·46 s, 0·19 s) compared with low-SUDEP risk group (0·08, 0·03; 0·30 s, 0·14 s) and non-epilepsy controls (0·08, 0·02; 0·31 s, 0·11 s; p<0·0001). The coefficient of variation of inter-breath interval had the greatest predictive power of SUDEP risk (between-group point estimate difference 0·30, AUC 0·80; 95% CI 0·70-0·90; p<0·0001).

Interpretation

This study identifies impaired sleep homoeostasis in the form of altered SWA progression during NREM sleep overnight in people with epilepsy who later died of SUDEP, and an increase in respiratory variability during NREM sleep in people with epilepsy who later died of SUDEP and in people with epilepsy at high risk of SUDEP. Multiday polysomnography studies are needed to validate sleep homoeostasis and respiratory variability during sleep as potential biomarkers of SUDEP risk. Further studies are required to explore possible sleep interventions that could mitigate SUDEP risk.

Funding

National Institutes of Health–National Institute of Neurological Disorders and Stroke.
癫痫猝死(SUDEP)的睡眠脑电图和呼吸生物标志物:一项病例对照研究
背景癫痫猝死(SUDEP)是癫痫相关死亡中最常见的一类。已观察到,在大多数SUDEP病例中,中枢介导的呼吸功能障碍可导致死亡。猝死症也主要发生在夜间睡眠。本研究旨在确定睡眠脑电图和睡眠相关呼吸生物标志物的猝死风险。方法在这项病例对照研究中,我们比较了后来死于SUDEP的癫痫患者(SUDEP组)的人口统计学、临床、脑电图和呼吸数据,以及年龄和性别匹配的活癫痫患者的数据,这些癫痫患者被分类为SUDEP高风险人群(每年发生≥1次全身性强直-阵挛发作[GTCS])、低风险人群(无GTCS病史)和非癫痫对照组。这些数据是作为美国国立卫生研究院多中心研究的一部分前瞻性收集的。我们分析了睡眠的宏观结构和微观结构特征,并通过使用线性回归模型计算无癫痫发作夜间非快速眼动(NREM)睡眠中慢波活动(SWA; 0.5 - 0.4 Hz)的夜间变化来测量睡眠的稳态。我们还分析了睡眠呼吸指标,包括呼吸间隔变异性。我们使用受试者操作特征分析来评估人口统计学、临床、睡眠脑电图和睡眠相关呼吸特征的个体鉴别表现,以预测SUDEP的风险。在2011年9月1日至2022年10月15日期间,纳入了41名后来死于SUDEP的参与者和123名匹配的对照组(41名患有SUDEP高风险的癫痫患者,41名患有SUDEP低风险的癫痫患者和41名非癫痫对照组)。与其他组相比,SUDEP组夜间下降异常缺乏,SWA功率斜率增加(SUDEP组平均标准化误差0.005,平均值[SEM] 0.003;高SUDEP风险组- 0.005,0.002;低SUDEP风险组- 0.003,0.002;非癫痫对照组- 0.007,0.003;p= 0.017)。夜间SWA斜率的增加在男性中比女性更明显(男性平均0.012,SEM 0.001;女性平均0.001,0.002;p= 0.005)。与低SUDEP风险组(0.08、0.03、0.30、0.14 s)和非癫痫对照组(0.08、0.02、0.31、0.11 s; p< 0.0001)相比,SUDEP患者(变异系数平均值0.15,SD 0.09; SD平均值0.54 s, SD 0.35 s)和高SUDEP风险组(0.11、0.03、0.46 s、0.19 s)的呼吸间隔变异性明显更高。呼吸间隔变异系数对SUDEP风险的预测能力最强(组间点估计差0.30,AUC 0.80; 95% CI 0.70 - 0.90; p< 0.0001)。本研究发现,在后来死于SUDEP的癫痫患者中,夜间非快速眼动睡眠期间SWA进展发生改变,从而导致睡眠平衡受损;在后来死于SUDEP的癫痫患者和SUDEP高风险的癫痫患者中,非快速眼动睡眠期间呼吸变异性增加。需要进行多日多导睡眠图研究,以验证睡眠中的睡眠平衡和呼吸变异性作为SUDEP风险的潜在生物标志物。需要进一步的研究来探索可能降低猝死风险的睡眠干预措施。美国国立卫生研究院——国立神经疾病和中风研究所。
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