Extratemporal epilepsy, obesity and male sex predict SUDEP risk in drug‑resistant focal epilepsy: clinical insights from the REPO2MSE prospective case‑control study

Extratemporal epilepsy, obesity and male sex predict SUDEP risk in drug‑resistant focal epilepsy: clinical insights from the REPO2MSE prospective case‑control study

Highlights

– A prospective, nested case–control analysis within the REPO2MSE cohort found four independent SUDEP risk factors: extratemporal epileptogenic zone, BMI ≥30, male sex, and predominantly nocturnal seizures.

– Peri‑ictal peripheral oxygen saturation (SpO2) <80%, focal‑to‑bilateral tonic‑clonic seizure frequency, heart‑rate variability measures, number of antiseizure medications, and history of depression were not independently associated with SUDEP in this cohort.

– Results underscore the importance of better characterizing extratemporal epilepsies and considering targeted diagnostic and surgical pathways to mitigate SUDEP risk in drug‑resistant focal epilepsy.

Background and clinical context

Sudden unexpected death in epilepsy (SUDEP) is the leading direct epilepsy‑related cause of premature mortality in people with epilepsy, particularly those with drug‑resistant disease. Identifying robust, clinically actionable biomarkers to stratify individual SUDEP risk remains an unmet need. Historically, generalized tonic‑clonic seizure (GTCS) burden and poor seizure control have been among the most consistently reported epidemiological risk factors, but peri‑ictal physiological signatures (for example profound hypoxaemia, cardiac arrhythmia, or autonomic instability) and anatomical seizure onset sites have been less well characterized in prospective, multicentre cohorts with standardized in‑hospital monitoring.

Study design

The REPO2MSE study is a nationwide, prospective cohort in France that enrolled adults with drug‑resistant focal epilepsy undergoing inpatient video‑EEG monitoring at 16 epilepsy monitoring units between May 18, 2010, and Aug 23, 2015. Vital status was followed through the end of 2018. SUDEP cases were identified through linkage to national records and adjudicated using medical records and structured interviews regarding circumstances of death.

Nested case–control approach

Within the cohort of 1,074 participants and 6,828 patient‑years of follow‑up, 42 deaths occurred, including 18 adjudicated definite or probable SUDEP cases. Each SUDEP case was matched to four controls on study centre and date of inclusion. The investigators collected detailed clinical information, presurgical investigation results, and raw inpatient recordings including video‑EEG, ECG, and SpO2 traces. SUDEP risk factors were evaluated with LASSO‑penalized conditional logistic regression to select variables associated with SUDEP while controlling for potential overfitting.

Key findings

The study reported a SUDEP incidence of 2.64 per 1,000 patient‑years (95% CI 1.36–3.92) in this drug‑resistant focal epilepsy cohort. Four variables emerged as independent risk factors for SUDEP after multivariable LASSO selection:

  • Extratemporal epileptogenic zone (compared with temporal lobe): OR 37.8, 95% CI 3.21–446.2, p=0.0039.
  • Body mass index (BMI) ≥30 kg/m2: OR 26.0, 95% CI 2.0–339.6, p=0.013.
  • Male sex: OR 12.6, 95% CI 1.5–106.8, p=0.0201.
  • Predominantly nocturnal seizures: OR 6.0, 95% CI 1.2–28.7, p=0.026.

Notably, several factors that have biological plausibility or prior supportive evidence were not significantly associated with SUDEP in this analysis. These include the presence of peri‑ictal SpO2 <80% during focal seizures, frequency of focal‑to‑bilateral tonic‑clonic seizures (FTBTC), heart‑rate variability indices, age at epilepsy onset, the number of antiseizure medications, and history of depression.

Interpretation of effect sizes and precision

The observed point estimates are large, particularly for extratemporal onset and obesity, but confidence intervals are wide—reflecting the modest number of SUDEP events (n=18). The magnitude of the odds ratios implies potentially strong associations but also highlights uncertainty; the results are hypothesis‑generating and warrant confirmation in larger cohorts or meta‑analyses.

Biological plausibility and mechanistic considerations

The link between extratemporal epilepsies—especially those involving the perisylvian region and frontal lobes—and SUDEP has several plausible mechanistic pathways. Frontal and insular/perisylvian networks have dense tectic and autonomic connections and are implicated in cardiorespiratory control and arousal. Seizure propagation through these regions might more readily disrupt airway patency, respiratory drive, or autonomic regulation, increasing the likelihood of terminal respiratory or cardiac events. Predominantly nocturnal seizures may heighten risk because of delayed detection and reduced likelihood of rapid external intervention. Obesity may contribute via impaired baseline respiratory function (including sleep‑disordered breathing) and cardiovascular comorbidity, potentially lowering the threshold for fatal peri‑ictal respiratory compromise.

Clinical implications and translational opportunities

The REPO2MSE findings have several potential implications for clinicians caring for people with drug‑resistant focal epilepsy:

  • Risk stratification: Incorporating seizure‑onset localization (temporal vs extratemporal), sex, BMI, and nocturnality into individualized SUDEP risk discussions could refine counseling and shared decision‑making, while acknowledging current evidence limitations.
  • Diagnostic focus on extratemporal epilepsy: Given the strong association observed, there is an argument for more intensive efforts to localize extratemporal epileptogenic zones using multimodal presurgical assessment (high‑resolution MRI, PET, magnetoencephalography, stereo‑EEG as appropriate) with the intent of offering surgical or neuromodulatory therapies when feasible.
  • Weight management and comorbidity optimization: Identification of obesity as a modifiable risk factor suggests that targeted weight loss interventions and screening for sleep‑disordered breathing could form part of SUDEP prevention strategies.
  • Nocturnal risk mitigation: For patients with predominantly nocturnal seizures, low‑cost interventions (seizure detection devices, nocturnal supervision where acceptable, counselling on sleeping position and airway safety) could be emphasized while recognizing variable evidence for efficacy in SUDEP prevention.

Strengths and limitations

The study’s strengths include its prospective national design, adjudicated SUDEP outcomes, access to raw physiological recordings during monitored seizures, and the use of matched controls with LASSO regression to reduce overfitting. However, important limitations temper interpretation:

  • Small event count: With only 18 SUDEP cases, statistical power is limited, and effect estimates are imprecise (wide confidence intervals).
  • Selection bias: The cohort comprises adults with drug‑resistant focal epilepsy undergoing inpatient monitoring at tertiary centres; findings may not generalize to all people with epilepsy, particularly those with generalized epilepsies or well‑controlled seizures.
  • Residual confounding: Although matching and penalized regression were used, unmeasured confounders (socioeconomic factors, adherence, sleep‑related variables outside the monitoring setting) could influence associations.
  • Negative findings: The absence of association for peri‑ictal SpO2 <80% and FTBTC frequency does not definitively rule out their importance; measurement variability, timing of recordings relative to fatal events, and the inpatient setting may have influenced these null results.

Expert commentary and how this fits with prior literature

The REPO2MSE dataset adds a novel, prospective perspective on seizure‑related biomarkers for SUDEP by focusing on anatomical onset and peri‑ictal physiological recordings. It complements epidemiological literature that has emphasized GTCS frequency and uncontrolled seizures as major risk determinants, while suggesting that anatomical and patient‑level characteristics (extratemporal focus, male sex, obesity, nocturnality) deserve greater attention. Because prior studies have variably implicated cardiac and respiratory peri‑ictal events, the lack of a robust association with peri‑ictal SpO2 here raises important questions about the timing and transferability of monitoring data to real‑world SUDEP events and underscores the need for larger collaborative efforts pooling monitoring datasets.

Practical takeaways for clinicians

Clinicians should incorporate these findings into risk discussions while making clear the preliminary nature of the associations. Key practical points:

  • Actively pursue comprehensive lateralization/localization in patients with suspected extratemporal epilepsy; timely referral to epilepsy surgery programs is appropriate when localization is achievable.
  • Screen for and manage obesity and sleep‑disordered breathing as part of holistic epilepsy care.
  • Consider intensified safety planning for patients with predominantly nocturnal seizures, including discussion of seizure detection technologies and caregiver notification strategies.
  • Continue to prioritize seizure control—particularly prevention of GTCS—because of its well‑documented association with SUDEP in the broader literature, even though FTBTC frequency did not emerge as an independent predictor in this specific analysis.

Future research directions

Confirmatory studies in larger, international cohorts are needed to validate extratemporal onset and obesity as SUDEP risk biomarkers and to refine absolute risk estimates. Integration of long‑term ambulatory physiological monitoring (wearable SpO2 and ECG), standardized assessments of sleep‑disordered breathing, and more granular mapping of seizure propagation pathways could clarify mechanistic links. Collaborative meta‑analytic efforts and prospective registries that harmonize presurgical and monitoring data will be critical to move from association to causation and actionable prevention strategies.

Conclusion

The REPO2MSE prospective nested case–control study identifies extratemporal epileptogenic zones, obesity (BMI ≥30), male sex, and predominantly nocturnal seizures as independent predictors of SUDEP in adults with drug‑resistant focal epilepsy. These findings point to underappreciated clinical characteristics that may help refine risk stratification and prevention, especially through improved diagnosis and management of extratemporal epilepsies. Given the small number of SUDEP events and wide confidence intervals, these results should be considered hypothesis‑generating and require replication in larger, diverse cohorts.

Funding

REPO2MSE was funded by the French Ministry of Health (Programme Hospitalier de Recherche Clinique National 2009).

Reference

Ryvlin P, Huot M, Valton L, Maillard L, Bartolomei F, Derambure P, Hirsch E, Michel V, Chassoux F, Petit J, Crespel A, Biraben A, Navarro V, Kahane P, De Toffol B, Thomas P, Rosenberg S, Bernini A, Charlois AL, Craciun L, Chorfa F, Ducouret P, Ferreira A, Leclercq M, Marty M, Mercedes Alvarez B, Sampaio M, Spahr A, Timestit‑Kurland N, Touya M, Roy P, Rheims S; REPO2MSE study group. Seizure‑related biomarkers of sudden unexpected death in epilepsy (SUDEP) in drug‑resistant focal epilepsy (REPO2MSE): a prospective, multicentre case‑control study. Lancet Neurol. 2025 Nov 21:S1474‑4422(25)00379‑5. doi: 10.1016/S1474‑4422(25)00379‑5. Epub ahead of print. PMID: 41285145.

解读SUDEP:关键风险标志物及癫痫死亡中发作期呼吸暂停的作用

解读SUDEP:关键风险标志物及癫痫死亡中发作期呼吸暂停的作用

亮点

这项具有里程碑意义的多中心前瞻性队列研究通过长期随访2632名接受视频脑电图监测的癫痫患者,确定了癫痫猝死(SUDEP)的关键风险标志物,包括独居、高频率的全面性强直阵挛性发作和发作期中枢性呼吸暂停持续时间。

值得注意的是,长时间的发作后中枢性呼吸暂停(>14秒)和发作期间中枢性呼吸暂停(>17秒)被发现为新的电临床生物标志物,与SUDEP风险相关,为癫痫死亡风险分层和预防策略提供了新的途径。

背景

癫痫猝死(SUDEP)是全球范围内癫痫相关死亡的主要原因,尤其影响控制不佳的癫痫患者。尽管之前的回顾性分析已经指出了一些因素,如全面性强直阵挛性发作、长期癫痫病程和独居条件,但在本研究之前,明确的前瞻性电临床生物标志物尚未确定,用于预测SUDEP风险。

由于癫痫影响全球约5000万人,其中一部分人经历药物难治性发作,因此识别有风险个体以进行针对性干预和监测的临床需求尚未得到满足。本研究通过整合在长时间视频-脑电图(EEG)监测期间收集的多模态数据,结合心脏呼吸评估,填补了这一关键空白。

研究设计

这项大规模的前瞻性观察队列研究在美国的8个中心和英国的1个中心进行,时间为2011年9月至2021年12月。研究纳入了2632名由专科医生诊断为癫痫的儿童和成人。纳入标准包括年龄超过2个月且因视频-EEG监测入院的患者,无论其药物耐药状态如何,并且至少有一次6个月或更长时间的随访。

基线数据收集包括人口统计信息、详细的电临床发作特征以及发作期间的心脏呼吸参数。近10年的长期随访涉及常规临床访问、电子健康记录审查和电话访谈,评估发作频率、药物依从性和死亡结果。主要终点是根据既定标准确定的SUDEP(确定、可能或可疑)发生时间。

统计分析采用Cox比例风险模型来检查预定义的风险标志物与SUDEP发生之间的关联,调整潜在的混杂因素。

主要发现

在2468名完成随访的患者中,有38名(1.54%)在7982人年中因SUDEP死亡,发病死亡率为每1000人年4.76例(95% CI 3.37–6.53)。另有两名患者经历了接近SUDEP事件。

多变量分析揭示了几个显著的SUDEP风险增加预测因素。独居患者的危险比(HR)显著升高至7.62(95% CI 3.94–14.71)。过去一年内发生三次或更多次全面性强直阵挛性发作的患者HR为3.1(1.64–5.87)。此外,发作期间中枢性呼吸暂停持续时间每增加一秒(HR 1.11,95% CI 1.05–1.18)和发作后中枢性呼吸暂停持续时间每增加一秒(HR 1.32,95% CI 1.14–1.54)均独立相关于风险增加。

在排除分类为可疑或接近SUDEP的病例的敏感性分析中,发作后中枢性呼吸暂停仍具有强烈的预测作用,而发作期间中枢性呼吸暂停则失去显著性,表明发作期呼吸异常的相关性存在差异。

本研究表明,发作期中枢性呼吸暂停——尤其是超过14秒的长时间发作后呼吸暂停——是可以测量和可重复的风险标志物,可以增强SUDEP风险分层,超越单独的临床特征。

专家评论

这项开创性的工作通过前瞻性地确认发作期呼吸暂停与死亡风险之间的关联,推进了我们对SUDEP病理生理学的理解。在常规视频-EEG评估中整合心脏呼吸监测标志着癫痫死亡研究中向机制生物标志物发现的范式转变。

独居仍然是最有力的临床预测因素,突显了社会因素的重要性,以及可能减少发作时及时干预的机会。频繁的全面性强直阵挛性发作所代表的发作负担与先前证据一致,表明发作控制与SUDEP风险降低有关。

然而,一些局限性需要考虑。尽管样本量较大,但SUDEP事件数量仍然有限,可能限制了亚组分析和其他合并症的分层。研究人群仅限于因视频-EEG监测入院的患者,这可能会偏向于更难治或复杂的癫痫病例,影响普适性。

发作期间与发作后呼吸暂停的时间和阈值定义需要在各中心进一步标准化。观察性设计无法建立因果关系,但为后续干预研究提供了坚实的基础。

结论

这项广泛的前瞻性队列研究阐明了SUDEP的关键电生理和临床风险标志物,特别强调了发作期呼吸功能障碍。长时间的发作后中枢性呼吸暂停和独居条件,结合发作频率,可以整合到一个风险指数中,以指导临床决策和患者咨询。

未来的研究应旨在验证这些发现在不同癫痫人群中的适用性,并调查是否可以通过减轻发作期呼吸暂停或改善发作期间的监督来减少死亡率。最终,实施综合电临床和心脏呼吸监测可能有助于针对SUDEP的个性化预防策略,SUDEP是主要但可预防的癫痫相关死亡原因之一。

参考文献

Ochoa-Urrea M, Luo X, Vilella L, et al. 风险标志物与癫痫猝死:一项观察性、前瞻性、多中心队列研究. Lancet. 2025;406(10511):1497-1507. doi:10.1016/S0140-6736(25)01636-8.

Devinsky O, Hesdorffer DC, Thurman DJ, Lhatoo S, Richerson G. 癫痫猝死:流行病学、机制与预防. Lancet Neurol. 2016;15(10):1075-1088. doi:10.1016/S1474-4422(16)00139-4.

Nashef L, So EL, Ryvlin P, Tomson T. 统一癫痫猝死的定义. Epilepsia. 2012;53(2):227-233. doi:10.1111/j.1528-1167.2011.03379.x.

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