Guifu Geng1,2†
Wandong Hu1†Yao Meng1,2†Huan Zhang1
Hongwei Zhang1Chuanmei Chen1
Yanqing Zhang3
Zaifen Gao1Yong Liu1Jianguo Shi1,2*- 1Department of Epilepsy Center, Children's Hospital Affiliated to Shandong University, Jinan Children's Hospital, Jinan, Shandong, China
- 2Department of Functional Neurosurgery, Children's Hospital Affiliated to Shandong University, Jinan Children's Hospital, Jinan, Shandong, China
- 3Pediatric Health Care Institute, Children's Hospital Affiliated to Shandong University, Jinan Children's Hospital, Jinan, Shandong, China
Objective: To investigate the clinical variables that might predict the outcome of developmental and epileptic encephalopathy (DEE) after vagus nerve stimulation (VNS) therapy and identify the risk factors for poor long-term outcome.
Patients and methods: We retrospectively studied 32 consecutive children with drug-resistant DEE who had undergone VNS surgery from April 2019 to July 2021, which were not suitable for corpus callosotomy. In spite of combining valproic acid, levetiracetam, lamotrigine, topiramate, etc. (standard anti-seizure medicine available in China) it has not been possible to effectively reduce seizures in the population we investigate (Cannabidiol and brivaracetam were not available in China). A responder was defined as a frequency reduction decrease > 50%. Seizure freedom was defined as freedom from seizures for at least 6 months. Sex, electroencephalograph (EEG) group, neurodevelopment, time lag, gene mutation, magnetic resonance imaging (MRI), and epilepsy syndrome were analyzed with Fisher's exact test, The age at onset and age at VNS therapy were analyzed with Kruskal-Wallis test, statistical significance was defined as p < 0.05. And used the effect size to correction.
Results: Among the 32 patients, the median age at VNS implantation was 4.7 years (range: 1–12 years). At the most recent follow-up, five children (15.6%) were seizure-free and 22 (68.8%) were responders. Univariate analysis demonstrated that the responders were significantly associated with mild development delay/intellectual disability (p = 0.044; phi coefficient = 0.357) and a multifocal EEG pattern (p = 0.022; phi coefficient = −0.405). Kaplan-Meier survival analyses demonstrated that a multifocal EEG pattern (p = 0.049) and DEE without epileptic spasm (ES) (p = 0.012) were statistically significant (p = 0.030). Multivariate analysis demonstrated that DEE with ES had significant predictive value for poor long-term outcome (p = 0.014, hazard ratio = 5.433, confidence interval = 1.402–21.058).
Conclusions: Our study suggested that VNS was a generally effective adjunct treatment for DEE. Although the predictive factors for VNS efficacy remain unclear, it should be emphasized that patients with ES are not suitable candidates for epilepsy surgery. Further investigations are needed to validate the present results.
Background
The concept of developmental and epileptic encephalopathy (DEE) was first proposed by the International League Against Epilepsy (ILAE) in 2017 (1). Many DEEs are related to gene variants and begin in the early infantile period, such as early infantile DEE (EIDEE), epilepsy in infancy with migrating focal seizures (EIMFS), and infantile epileptic spasms syndrome (IESS) (2, 3). The development of molecular genetics has linked an increasing number of genes to DEE. One study demonstrated that among children in China with epilepsy onset within the first year of life, 28.2% of neonates and 34.8% of infants had a genetic diagnosis (4). Examples of a genetic link include epilepsy associated with KCNQ2, CDKL5, and SCN1A mutations (5, 6).
Individuals with DEE have high rates of comorbid conditions, which include intellectual disability (ID), autism spectrum disorder (ASD), and behavioral issues (7, 8). In such cases, outcomes remain poor even when the seizures stop (1). In genetically associated DEE, seizures might occur earlier than cognitive impairment (9) and might aggravate cognitive disorder, where seizure treatment might likely improve neurodevelopment. Many DEEs begin in early infancy, which is a crucial neurodevelopment period. Therefore, effective therapeutic intervention should be considered early in DEEs (8, 10).
In most cases, DEEs are highly resistant to treatment and associated with unfavorable outcomes, both in relation to seizures and to cognitive disorder (11). Vagus nerve stimulation (VNS) has been extensively used for treating DEE (12, 13). In 2000, the China Food and Drug Administration (CFDA) approved VNS as an adjunct treatment for intractable epileptic seizures in adults and children. VNS is a safe and effective neuromodulatory therapy for pediatric medically refractory epilepsy, where the response rates (>50% seizure reduction) are ~35–57% after 2-year follow-up and are higher at ≥5-year follow-up (14, 15). A higher seizure reduction rate was reported in children aged < 6 years (16). Furthermore, VNS treatment was associated with improvement in motor, language, and personal/social development in children (17). A previous study demonstrated that VNS therapy improved cognitive disorder, autism and quality of life (QOL) in low-IQ patients (18). Furthermore, VNS was effective in pediatric patients with drug-resistant epilepsy (DRE) of monogenic etiology (19, 20). In CDKL5-DEE, seizure improvement was reported in more than two-thirds of patients post-VNS therapy, and additional benefits such as cognitive and behavioral improvements justify further use in other gene-induced DEEs (21).
Currently, the benefits of VNS in DEE are not well defined. In this article, we present a retrospective analysis of a series of patients with DEE who underwent VNS therapy. The main study goals were to: (1) investigate clinical variables that might predict the DEE outcome post-VNS therapy and (2) identify risk factors for poor long-term outcome.
Methods
Preoperative patient evaluation
We retrospectively studied 32 consecutive children (17 girls, 15 boys) with DEE who had undergone VNS surgery (G112, PINS Medical, Beijing, China) and had been admitted to Children's Hospital Affiliated to Shandong University from April 2019 to July 2021. The inclusion criteria were: (1) age < 12 years at VNS therapy (Many kinds of antiepileptic drugs were taken before surgery, but the effect was not good; Mean while not suitable for corpus callosotomy); (2) diagnosis of drug-resistant DEE according to ILAE-defined criteria (include Early-infantile developmental and epileptic encephalopathy, Dravet syndrome, IESS, Etiology-specific syndromes, Lennox-Gastaut Syndrome and others) (22); (3) follow-up period of at least 1 year post-VNS therapy. Patients were excluded if they had undergone epilepsy surgery or the ketogenic diet (KD) before or during VNS therapy.
All children underwent brain magnetic resonance imaging (MRI). Standard MRI was performed on a 3.0 Tesla SP system (Siemens, Erlangen, Germany) using standardized epilepsy protocols that included high-resolution T1-weighted volume acquisition, T2-weighted, and fluid attenuated inversion recovery (FLAIR) sequences. The MRI findings were classified into normal or abnormal groups.
All children underwent 3-h electroencephalograph (EEG) recording pre-VNS therapy. The EEGs were recorded while the patients were asleep and awake. The EEG findings were classified into focal or multifocal epileptiform discharges or generalized epileptiform discharges groups. All children were evaluated at a multidisciplinary team (MDT) conference to determine their treatment strategies. This study was approved by the ethical committee of Children's Hospital Affiliated to Shandong University. Each patient's parents signed the informed consent form. The epilepsy syndromes were encoded according to the ILAE (23). The epilepsy syndrome groups were classified into IESS, LGS and Others. The patients' anti-seizure medicines (ASMs) were not changed during the first 3 months post-surgery.
The time lag referred to the delay between clinical seizure onset and VNS treatment initiation. The patients were divided into short (<3 years) or long (≥3 years) time lag groups.
Neuropsychological assessment
Neurodevelopment and neuropsychological data were collected retrospectively. Neurodevelopment was assessed before treatment with the Chinese Child Developmental Behavior Assessment Scale. The patients were assigned to three groups: mild development delay/ID (DD/ID) group (independent movement and communication), moderate DD/ID (independent movement and partial communication), and severe DD/ID (completely dependent movement and no communication). Their QOL was assessed by questionnaires and visual analog scales completed by their parents.
Outcome evaluation
The baseline seizure frequency (seizures/month) was evaluated pre-VNS device implantation. A 3-month baseline seizure frequency was used for comparison with post-VNS. A responder was defined as a frequency reduction decrease > 50%. Seizure freedom was defined as freedom from seizures for at least 6 months.
VNS programming
The VNS generator was implanted in the left side of the chest using previously described techniques. In each child, the VNS stimulator was switched on 7 days post-implantation. The stimulation parameters in the conventional mode at startup were as follows: amplitude, 0.2 mA; pulse width, 250 μs; frequency, 30 Hz; stimulation duration, 30 s; and interval, 5 min. The pulse amplitude was increased by 0.2–0.3 mA every 2 weeks and gradually adjusted to 1.5–2.0 mA. Duty cycles (ON and OFF times) were adjusted after 6–8 months if no improvement was observed.
Statistical analysis
Statistical analysis was performed using SPSS Statistics 23 (IBM Corp., Armonk, NY, USA). Normally distributed continuous variables are described using the median and the mean and standard deviation (SD). Sex, EEG group, neurodevelopment, time lag, gene mutation, MRI, and epilepsy syndrome were analyzed using Fisher's exact test. The age at onset and age at VNS therapy were analyzed with Kruskal-Wallis test. Statistical significance was defined as p < 0.05. And used the effect size to correction. The probability of responders was calculated with Kaplan–Meier survival analysis. Statistical significance was tested using the log-rank test and comparison of 95% confidence intervals (CIs). An additional multivariate Cox proportional hazard regression model was used to determine independent variables that could be used as predictors of poor responders. Results were considered statistically significant at the 5% level.
Results
Patients' characteristics
A total of 43 children underwent VNS implantation and 32 children fulfilled the study inclusion criteria. Among the 32 children, the median age at VNS implantation was 4.7 years (range: 1–12 years) and 53% were female (n = 17). The median age at seizure onset was 22.37 months (range: 1 day−96 months) and a median of five ASMs had been attempted previously (range: 2–8). The five most commonly used ASMs were valproic acid, levetiracetam, lamotrigine, topiramate and clonazepam (Table 1, Because we didn't have new ASMs as cannabidiol, brivaracetam in China). The mean stimulation parameters at 6 months was 1.2 mA (range: 0.4–1.7) and 30 s on−5 min off (10% duty cycle). Meanwhile the mean stimulation parameters at last was 1.3 mA (range: 0.2–2.0) and 30 s on−5 min off (10% duty cycle).
Table 1. DEE patient anti-seizure medicines.
Twenty-two of the 32 children underwent genetic testing. Of these 22 children, 10 were diagnosed with monogenic epilepsy in which the pathogenic genes were SCN1A (n = 4), KCNQ2 (n = 2), KCNT1 (n = 1), STXBP1 (n = 1), TSC1 (n = 1), and COL4A1 (n = 1). According to the new DEE classification, 12 children were diagnosed with IESS, six with Lennox-Gastaut syndrome (LGS), four with Dravet syndrome (DS), one with DEE with spike-and-wave activation in sleep, one with EIMFS, one with EIDEE, and seven with unclassified DEE. All children underwent video-EEG, where 16 children (50%) each demonstrated multifocal epileptiform discharges, others showed diffuse or generalized epileptiform discharges in interictal EEG.
Sixteen children (50%) had abnormal 3-Tesla MRI scans: nine had atrophy associated with delayed myelination, two had pachygyria, two had cortical malformations, one had tuberous sclerosis, one had bilateral subcortical band heterotopia, and one had thin corpus callosum with ventriculomegaly. Eight children underwent interictal positron emission tomography (PET): two were normal, five had diffuse or multifocal hypometabolism, and one had hemispheric hypometabolism.
Development assessment demonstrated that only four children (12.5%) were normal before seizure onset. All children demonstrated DD pre-VNS therapy: 19% (6/32) had mild DD/ID, 53% (17/32) had moderate DD/ID, and 28% (9/32) had severe DD/ID.
Comparison of the changes in the QOL at pre-VNS and after at least 12 months of VNS therapy revealed that 5/32 children (15.6%) reached new milestones or acquired new skills post-VNS treatment. Behavior, mood, verbal communication improvement and progress with schoolwork were reported by 56.25% of the parents (18/32) during follow-up.
Response to VNS treatment
All children had at least 12 months of follow-up [mean follow-up: 22 (range: 12–47) months]. At 6 months post-VNS implantation, 13 children (40.6%) were responders and one child (3.1%) was seizure-free. At the most recent follow-up, five children (15.6%) were seizure-free and 22 (68.8%) were responders. The age at DEE onset was ≤12 months in 16 children (50%) while the time lag was <3 years in 20 children (62.5%).
The Chi-square test and univariate analysis with a two-tailed Fisher's exact test determined that the age at seizure onset, time lag, age at implantation, sex, epilepsy syndrome, and MRI scan were not significantly different between the responder and non-responder groups. Responders were significantly associated with mild DD/ID (p = 0.044) and a multifocal EEG pattern (p = 0.022; Table 2). The time lag was <3 years in most children in the responder group (16/22) as compared to the non-responder group (4/10), but no statistical difference was detected. The phi coefficients of sex, developmental delay and seizure type were all in the range of 0.3–0.6, so the degree of association between them and prognosis was moderately positive. The phi coefficients of time interval and EEG ranged from −0.3 to −0.6, and they were moderately negatively correlated with prognostic factors, while the remaining variables were weakly correlated with prognostic factors, especially genes and ASMs. Table 2 presents the patients' preoperative data.
Table 2. DEE patient characteristics (n = 32).
Survival analyses were conducted with the Kaplan-Meier method and proportional hazards regression. A multifocal EEG pattern (p = 0.049) and DEE without epileptic spasm (ES) (p = 0.012) had significant predictive value for favorable seizure outcome at 22 months (seizure reduction > 50%) (p = 0.030; Figure 1). The multivariate analysis (multivariate Cox proportional hazard regression model) demonstrated that neurodevelopment, age at onset, time lag, MRI, and EEG pattern lost their predictive value and that only DEE with ES had significant predictive value for poor long-term outcome (p = 0.014, hazard ratio = 5.433, CI = 1.402–21.058) (Table 3).
Figure 1. Kaplan-Meier curves showing distinct respond depending on the various predictors. (A) MRI, normal vs. abnormal (log-rank test p = 0.070), (B) time lag, ≤3 vs. >3 years (log-rank test p = 0.060), (C) EEG pattern, Multifocal vs. Diffuse or general (log-rank test p = 0.049), (D) seizure type, ES vs. without ES (log-rank test p = 0.012).
Table 3. Multivariate analysis predictors of recurrence by multivariate Cox proportional hazard regression model.
Adverse effects
No significant complications were reported. Two children complained of coughing and hoarseness when the stimulation parameters were increased. In one case, the VNS was switched off due to poor efficacy.
Discussion
In 2022, the ILAE classified DEE as an epilepsy syndrome with onset in neonates and infants (23). The term “DEE” refers to cognitive functions being influenced by both seizure and interictal epileptic discharge and the neurobiological process behind the epilepsy. Approximately 50% of DEEs have genetic etiology (24, 25). Abnormal neurological behavior or development often presents before seizure onset (9), where we demonstrated that only four children (12.4%) exhibited normal behavior before seizure onset. The interictal EEG pattern and maturational state of the brain influence the effect of epileptic activity on cognition and development (11).
The long-term seizure control rate for DEEs is poor (26). VNS is a well-tolerated and effective adjunctive treatment for medically intractable DEE (20, 27). Although the mechanisms of VNS are not well understood, it is thought that VNS activates the release of epinephrine and norepinephrine (NE) in the locus coeruleus (LC), which may subserve cognitive enhancement and memory improvement (28). The antiseizure effects of VNS may also relate to altered activity in the limbic system, autonomic networks and reticular activating system (15). In our study, 68.8% of the children (22/32) experienced at least 50% reduction in seizure frequency and 15.6% (5/32) had achieved seizure-free status at the last follow-up. The seizure reduction rate was similar to that reported previously (14, 20).
Age at implantation, duration of epilepsy, etiology, and seizure type might be predictive factors of VNS efficacy (29, 30). However, the predictive factors of VNS efficacy in DEE remain unclear. As clearly demonstrated in our study, a multifocal EEG pattern was a predictor for responders. In patients with post-traumatic epilepsy and post-encephalitic epilepsy, focal or multifocal EEG patterns also indicated better efficacy post-VNS therapy (31, 32). However, another study reported that a generalized epilepsy group demonstrated the best response in seizure reduction (33). Our data demonstrated a significant difference in the number of responders between children with better (mild) and worse (moderate and severe) DD/ID, where 100% of responders were from the mild DD/ID group. Although recent studies confirmed that seizure reduction in DD/ID patients was similar to that in a non-DD population (34), subgroup analysis was not performed for these patients.
VNS implantation at age ≤ 2 years was strongly associated with better developmental and cognitive outcome, and QOL (35). Younger age at implantation suggests a shorter duration of epilepsy, where several studies demonstrated that a short duration of epilepsy before VNS implantation was a strong factor associated with good outcome (29, 36). By contrast, other studies reported that a shorter epilepsy duration did not predict a better outcome (37, 38), which was similar to our findings.
We determined that DEE with ES had significant predictive value for poor long-term response (p = 0.014, hazard ratio = 5.433, CI = 1.402–21.058). The result was similar to that of an earlier study, where only two of the 16 (13%) patients in the ES group demonstrated seizure reduction > 50% (39). The efficacy of VNS for treating ES was poor when compared to that for treating other syndromes. For example, a meta-analysis of 480 patients with LGS suggested that 54% of the patients responded to VNS therapy (12). Previous clinical study showed that in patients with ES, the thalamus and brainstem might already be sufficiently activated to suppress the seizures. So, additional stimulation of the brainstem following VNS might be unable to generate further inhibitory effects (40).
Most common delayed post-operative effects in people treated with VNS are hoarseness, voice alteration (usually happening during VNS activation), dyspnoea and post-operative pain. Stimulation-dependent adverse effects VNS is commonly associated with adverse effects attributable to the local effect of current (15).
During the follow-up, 56.25% of the parents (18/32) reported improved QOL, which paralleled recent previous studies (41). The precise mechanism of VNS treatment remains unknown. There is much evidence for the effects of VNS on pediatric neurodevelopmental and other psychiatric disorders (42, 43). The ability of VNS to improve development with a benign adverse effect profile encouraged us to pursue it as a treatment option in children with DEE. VNS should be considered an option for treating refractory epilepsy in this population before additional ASMs are prescribed.
Limitations
First, the number of DEE cases was small. Second, part of the clinical data were retrospective, and accurate determination of seizure frequency was difficult. Therefore, the influence of VNS on the neuropsychological aspect requires further investigation.
Conclusions
Our findings suggested that VNS was a generally effective adjunct treatment for DEE. The onset of many DEEs occurs in neonatal and/or early infancy, which is a crucial neurodevelopment period. Uncontrolled seizures and excessive epileptiform abnormalities could worsen the clinical state. Reducing the seizure burden might lead to improved QOL. In DEE, the predictive factors for VNS efficacy remain unclear. Age at seizure onset, age at implantation, duration of epilepsy, and MRI were not predictors of responders post-VNS implantation. It should be emphasized that patients with ES are not suitable candidates for epilepsy surgery. Further investigations are needed to validate our results. Although it has been recently reported that CBD-based AED are an effective alternative to reduce seizures in drug resistant childhood epilepsy, such AEDs are not available in China (as Epidiolex). That is why we have to move one step forward to implement VNS.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by the Human Ethics Committee of Jinan Children's Hospital. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.
Author contributions
GG and YM analyzed and interpreted the patient data. JS was a major contributor in writing the manuscript. All authors contributed to the article and approved the submitted.
Funding
This work was supported by Jinan Municipal Health Commission (2022-1-47 and 2021-2-108).
Acknowledgments
We would like to thank TopEdit (www.topeditsci.com) for English language editing of this manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
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Keywords: developmental and epileptic encephalopathy, vagus nerve stimulation, gene mutation, cognitive disorder, drug-resistant epilepsy
Citation: Geng G, Hu W, Meng Y, Zhang H, Zhang H, Chen C, Zhang Y, Gao Z, Liu Y and Shi J (2023) Vagus nerve stimulation for treating developmental and epileptic encephalopathy in young children. Front. Neurol. 14:1191831. doi: 10.3389/fneur.2023.1191831
Received: 26 March 2023; Accepted: 26 September 2023;
Published: 20 October 2023.
Edited by:
Georgia Ramantani, University Children's Hospital Zurich, SwitzerlandReviewed by:
Ricardo Zavala-Yoé, Monterrey Institute of Technology and Higher Education (ITESM), MexicoTao Sun, Ningxia Medical University, China
Jiangwei Ding, First Affiliated Hospital of Zhengzhou University, China
Copyright © 2023 Geng, Hu, Meng, Zhang, Zhang, Chen, Zhang, Gao, Liu and Shi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jianguo Shi, shijianguo1981@126.com
†These authors have contributed equally to this work