| Literature DB >> 35893283 |
Teri B O'Neal1, Sanjay Shrestha1, Harsimar Singh1, Ihianle Osagie1, Kenechukwu Ben-Okafor1, Elyse M Cornett2, Alan D Kaye2.
Abstract
Epilepsy is a complex neurological condition with numerous etiologies and treatment options. In a subset of these patients, sudden unexpected death can occur, and to date, there are numerous explanations as to the pathophysiological mechanisms and how to mitigate these catastrophic outcomes. Approximately 2.3 million Americans have epilepsy, and nearly 150,000 people develop the condition each year. Sudden unexpected death in epilepsy (SUDEP) accounts for 2-18% of all epilepsy-related deaths and this is equivalent to one death in 1000 person-years of diagnosed epilepsy. It is more common in young adults aged 20-45. Seizures in the past year; the absence of terminal remission in the last five years; increased seizure frequency, particularly GTCS; and nocturnal seizures are the most potent modifiable risk factors for SUDEP. Patients not receiving any antiepileptic drug therapy are at higher risk of SUDEP. Patient education on medication compliance; care plans for seizure clusters (rescue medicines); epilepsy self-management programs; and lifestyle changes to avoid seizure-triggering factors, including avoiding excessive alcohol use and sleep deprivation, should be provided by health care providers. Continued research into SUDEP will hopefully lead to effective interventions to minimize occurrences. At present, aggressive control of epilepsy and enhanced education for individuals and the public are the most effective weapons for combating SUDEP. This narrative review focuses on updated information related to SUDEP epidemiology; pathophysiology; risk factor treatment options; and finally, a discussion of important clinical studies. We seek to encourage clinicians who care for patients with epilepsy to be aggressive in controlling seizure activity and diligent in their review of risk factors and education of patients and their families about SUDEP.Entities:
Keywords: Takotsubo cardiomyopathy; arrythmia; cardiac arrest; counseling; education; epilepsy; sudden death
Year: 2022 PMID: 35893283 PMCID: PMC9326725 DOI: 10.3390/neurolint14030048
Source DB: PubMed Journal: Neurol Int ISSN: 2035-8385
Figure 1Sudden unexpected death in epilepsy epidemiology [7,14] (A) Estimated annual sudden unexpected death in epilepsy incidence in different epilepsy patient populations. (B) Distribution of sudden unexpected death in epilepsy cases by age. Error bars reflect 95% Cis. VNS = vagus nerve stimulation.
Figure 2Top ten risk factors using adjusted ORs with corresponding 95% confidence intervals [16].
Genetic association with SUDEP.
| Gene | Clinical Condition | Function | SUDEP Hypothesis |
|---|---|---|---|
| SCN1A | Dravet syndrome, generalizedepilepsy with febrile seizures | Sodium channel | Increases epilepsyseverity by postictal parasympathetichyperactivity |
| SCN2A | Epileptic encephalopathy | Sodium channel | Increases severity of epilepsy |
| SCN8A | Epileptic encephalopathy | Sodium channel | Increases severity of epilepsy |
| PRRT2 | Benign familial infantile seizures | Proline-rich transmembrane protein 2 | Potential interaction withSNAP-25 and presynapticneurotransmitter release |
| DEPDC5 | Focal epilepsy | G-protein signaling pathway, inhibits the mTORC1 pathway | Potential increase in severity of epilepsy |
| CSTB | Unverricht-Lundborg disease | Inhibits intracellular thiol protease, prevents protease leakage from Lysosomes | Increases severity of epilepsy and neurological impairment due toprogressive myoclonic epilepsy |
| TSC1, TSC2 | Tuberous sclerosis complex | Downregulates mTORC1 pathway | Potential increase in severity of epilepsy |
| HCN2 | Generalized epilepsy | Contributes to spontaneous rhythmic activity in SA node and brain | Potential impairment inbrainstem or cardiac pacemaker cells |
| KCNQ1 | Long QT syndrome | Potassium channel; ventricular repolarization | Potentialarrhythmogenic effect |
| KCNH2 | Long QT syndrome | Potassium channel;repolarization of cardiac action potential | Uncertain |
| SCN5A | Long QT syndrome | Sodium channel; rapid depolarizing sodium current underlying cardiac action potential upstroke | Potential combination of epilepsy and arrhythmia |
| NOS1AP | Long QT syndrome | Cytosolic protein that binds to neuronal nitric oxide synthase | Potential combination of epilepsy and arrhythmia |
| RYR2 | Sudden cardiac death | Cardiac ryanodine receptor 2; intracellular calcium release channel, coupling excitation–contraction | Potential combination of epilepsy and arrhythmia |
| HCN4 | Bradycardia, sick sinus syndrome | Potassiumchannel; slow kinetics of activation and inactivation, cardiacpacemaker role | Variant identified in SUDEP |
Figure 3Pathophysiology model of SUDEP.
Clinical practice recommendations for SUDEP treatment.
| Grade B | Effective epilepsy treatment to decrease the burden of GTCS protects against SUDEP. Providers should use appropriate anti-seizure medications and combine ASM where necessary to achieve seizure control, while actively involving patients in their care and weighing the safety profile of the medications. |
| Grade C | Based on risk profile and psychosocial circumstances, clinicians should selectively counsel patients with frequent uncontrolled nocturnal seizures on nocturnal supervision, as this is protective against SUDEP. |
| Grade C | Prompt referral for surgical evaluation of drug-resistant epilepsy/lesional epilepsy is of paramount importance in reducing the risk of SUDEP. |
Clinical efficacy and safety.
| Author (Year) | Intervention | Results and Findings | Conclusion |
|---|---|---|---|
| J. Helen Cross et al. (2021) [ | Fenfluramine (FFA) added to anti-seizure medication for Dravet syndrome patients to assess its effect on the SUDEP mortality rate. | All-cause and SUDEP mortality rates were significantly lower than expected compared to estimates from literature studies. | FFA might have a role in reducing SUDEP in patients with Dravet syndrome. More studies will be required to ascertain if this effect is sustainable and applicable to other causes of SUDEP. |
| V. Salanova et al. (2021) [ | Adults with severe epilepsy underwent deep brain stimulation surgery with leads implanted in the anterior thalamus (ANT DBS). They were followed up over 7–10 years. | The observed SUDEP rate was lower for patients with drug-resistant epilepsy, including patients being treated with adjunctive ASMs or considered for epilepsy surgery. | ANT DBS is associated with sustained improvement in seizure reduction over time. This reduction is possibly responsible for the reduction in SUDEP risk. |
| Vilella et al. (2019) [ | Patients with intractable epilepsy ( | Post-convulsive central apnea (PCCA) was associated with near-SUDEP phenomena and SUDEP. | The authors suggest PCCA is a possible SUDEP biomarker. |
Comparison studies.
| Author (Year) | Groups Studied | Results and Findings | Conclusion |
|---|---|---|---|
| Myers et al. (2018) [ | HRV data were compared between a group of patients with SCN mutation drug-resistant epilepsy and a control group of non-SCN drug-resistant epilepsy. | SUDEP patients had more severe autonomic dysregulation. This dysregulation was worse in the SCN mutation group. | The authors suggest autonomic dysfunction is associated with SUDEP risk in patients with epilepsy due to SCN mutations. |
| Sivathamboo et al. (2021) [ | A retrospective nested case–control study evaluated interictal ECG recordings among patients admitted for video EEG recording | Normalized LFP was lower in SUDEP cases than in matched controls. Every 1% reduction in normalized LFP conferred a 2.7% increase in latency to SUDEP. | The authors conclude reduced short-term LFP is associated with SUDEP. They suggest that increased LFP may be associated with longer survival. |
| Cihan et al. (2020) [ | Over 2 years and in 3 diverse geographic regions, SUDEP rates plus certain demographic, biometric, and clinical variables were compared with community SES. | 159 SUDEP cases in the lowest quartile zip codes and 49 cases in the highest quartile zip codes. No reported difference in age, sex, BMI, epilepsy etiology, circumstances of death, nonadherence to medication, and comorbid conditions between highest and lowest quartile SES zip codes. | The authors concluded SUDEP rates were >2 times higher among people with epilepsy living in lowest income communities compared to the highest income communities. |
| Rasekhi et al. (2021) [ | A retrospective case–control study evaluated 48 patients with epilepsy who underwent EEG monitoring and subsequently died of definite or probable SUDEP. Two matched controls with epilepsy were identified for each individual who died of SUDEP. | SUDEP-7 scores were significantly higher in the SUDEP group than in matched controls, both at the time of admission and last follow-up. | The authors conclude that results support the ability of SUDEP-7 inventory to predict SUDEP. However, it does not enhance the prediction of SUDEP over-generalized tonic-clonic seizure or seizure frequency alone. They propose a new tool—SUDEP-3 inventory, which improves predictive performance. |