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
{"title":"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","authors":"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","doi":"10.1016/s1474-4422(25)00273-x","DOIUrl":null,"url":null,"abstract":"<h3>Background</h3>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.<h3>Methods</h3>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.<h3>Findings</h3>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).<h3>Interpretation</h3>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.<h3>Funding</h3>National Institutes of Health–National Institute of Neurological Disorders and Stroke.","PeriodicalId":22676,"journal":{"name":"The Lancet Neurology","volume":"81 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sleep EEG and respiratory biomarkers of sudden unexpected death in epilepsy (SUDEP): a case–control study\",\"authors\":\"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\",\"doi\":\"10.1016/s1474-4422(25)00273-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Background</h3>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.<h3>Methods</h3>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.<h3>Findings</h3>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).<h3>Interpretation</h3>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.<h3>Funding</h3>National Institutes of Health–National Institute of Neurological Disorders and Stroke.\",\"PeriodicalId\":22676,\"journal\":{\"name\":\"The Lancet Neurology\",\"volume\":\"81 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Lancet Neurology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/s1474-4422(25)00273-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Lancet Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/s1474-4422(25)00273-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sleep EEG and respiratory biomarkers of sudden unexpected death in epilepsy (SUDEP): a case–control study
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.