Abstract
Background
Juvenile myoclonic epilepsy (JME) is the most common idiopathic generalized epilepsy syndrome, accounting for 10% of all epilepsy. However, there is limited information regarding the predictors of seizure outcome. The aim of this study was to determine the predictors of seizure outcome in JME patients.
Methods
A population-based retrospective study of JME patients who were treated at the Department of Neurology of affiliated Zhongshan Hospital, Xiamen University from 2008 to 2013.
Results
Sixty-three patients (30 women and 33 men) were enrolled in this study. The median age at seizure onset was 14 years old, and the average duration of epilepsy was 5 years. The onset of JME at age <16 years was found in 63.5% of patients. The epileptiform runs ≥3 s were observed in 35.8% patients. Febrile seizure was noted in 28.9% of patients. Among 63 patients, 40 patients (63.5%) had remission. Multivariate analysis identified the following factors as significant predictors of seizure outcome: the onset of JME at age <16 years, epileptiform runs ≥3 s runs, and febrile seizure.
Conclusion
The onset of JME at age <16 years, febrile seizures and epileptiform runs ≥3 s might be associated with poor long-term seizure outcome in patients with JME.
Keywords: juvenile myoclonic epilepsy, seizure, predictor, outcome
Introduction
Juvenile myoclonic epilepsy (JME) is a type of idiopathic generalized epilepsy that usually occurs during adolescence. The leading symptom is early-morning myoclonic seizures (MS) alone or combined with generalized tonic-clonic seizures (GTCS) or absence seizures (AS).1,2 The interictal electroencephalography (EEG) shows generalized poly-spike waves at 4–6 Hz, and photosensitivity was noted in 30% of cases.3,4
Although the majority of JME patients can be controlled under appropriate treatment, JME has a high risk of relapse after the withdrawal of antiepileptic drugs (AEDS).5–7 A few studies focused on long-term seizure outcome of JME have shown that some patients are able to remain seizure free without AED medication.8–13 However, little is known about the predictors of seizure outcomes. It is difficult to predict who will develop refractory epilepsy in the early stages of the JME. Therefore, this study aimed to identify prognostic factors that can be predictive for seizure outcome in JME patients.
Materials and Methods
Subjects
This is a single-center retrospective study approved by the Ethics Committee of Zhongshan Hospital in accordance with the Declaration of Helsinki. All patients provided written informed consent. All data were collected from JME patients diagnosed at the department of neurology, out-patient department, affiliated Zhongshan hospital, Xiamen University China from 2008 to 2013. JME was diagnosed based on clinical history and EEG studies.
Inclusion criteria were: a diagnosis of JME on the basis of International League against Epilepsy (ILAE);14 patients who received medication in our outpatient department. Exclusion criteria were: the presence of focal neurological or intellectual impairment; abnormal brain imaging of CT or MRI; secondary to cerebral hypoxia, metabolic diseases or degenerative diseases.
Evaluation
We reviewed retrospectively the medical records of 63 patients and obtained data from the records included age, age at seizure onset, gender, family history of epilepsy, duration of epilepsy febrile seizure, EEG findings and seizure type. The international 10–20 system for electrode placement was used in all the EEG studies. Seizure outcomes were evaluated by clinic visits or telephone interview and divided into two categories: at the last follow-up, no seizures for more than 5 years defined as remission, while the remaining patients were defined as no remission.
Statistical Analysis
Data analysis was performed by using SPSS version 24. T-test was used for continuous variables. Pearson chi-square and Fisher exact test were used for classified variables. Multivariate logistic regression was carried out to identify the predictors of seizure outcome. Odds ratios and 95% confidence intervals were calculated. P-value < 0.05 was considered statistically significant.
Results
General Information of the Subjects
In this retrospective study, we analyzed 63 patients. The mean age was 20.4±6.9 years. The mean age of onset of epilepsy was 14.63±3.8 years. Five (7.9%) patients had a positive family history of epilepsy, and febrile seizures were noted in 9 patients (14.2%). There was a significant difference in the onset of JME at age <16 years of JME between the remission and no remission group (P = 0.017< 0.05) (Table 1).
Table 1.
Basic Information of the Patients in Two Groups
| Total | No Remission | Remission | P-value | |
|---|---|---|---|---|
| Number of patients | 63 | 23 (36.5%) | 40 (63.5%) | – |
| Age (yr) | 20.4 ± 6.925 | 19.55 ± 6.479 | 21.08 ± 7.5 | 0.246 |
| Female | 30 (47.6%) | 11 (47.8%) | 19 (47.5%) | 0.98 |
| Febrile seizures | 9 (14.2%) | 6 (21.6%) | 3 (7.5%) | 0.098 |
| Family history of epilepsy | 5 (7.9%) | 2 (8.7%) | 3 (7.5%) | 1.000 |
| Age at onset (yr) | 0.017 | |||
| <16 years | 40 (63.4%) | 19 (82.6%) | 21 (52.5%) | |
| ≥16 years | 23 (36.5%) | 4 (17.4%) | 19 (47.5%) |
MS was noted in all the patients; 57 (90.4%) had GTCS, 10 (15.8%) had AS. Sixteen patients (25.5%) had seizure predisposing factors, which included visual stimulation and fatigue. 22 (34.9%) had seizures on awakening, and 5 (7.9%) had seizures (GTCS) only in sleep, while 36 (57.1%) had seizures both while asleep and awake (Table 2).
Table 2.
Clinical and EEG Data of the Patients in Two Groups
| Variables | Total | No Remission | Remission | P-value |
|---|---|---|---|---|
| Seizure types | ||||
| MS only | 10 (15.8%) | 5 (21.7%) | 5 (12.5%) | 0.543 |
| MS+GTCS | 57 (90.4%) | 20 (86%) | 37 (92.5%) | 0.783 |
| MS+GTCS+AS | 8 (12.6%) | 4 (17.3%) | 4 (10%) | 0.649 |
| Precipitating factor | 15 (23.8%) | 7 (30.4%) | 8 (20%) | 0.637 |
| The state of seizure | 0.264 | |||
| Awakening | 22 (34.9%) | 11 (47.8%) | 11 (27.5%) | |
| Sleep | 4 (6.3%) | 1 (4.3%) | 3 (7.5%) | |
| Both awake and sleep | 37 (58.7%) | 11 (47.8%) | 26 (65%) | |
| Focal discharge | 41 (65.0%) | 15 (65.2%) | 26 (65%) | 0.986 |
| Discharge frequency | 0.865 | |||
| S/PS-SW>4Hz | 43 (68.2%) | 16 (69.6%) | 27 (67.5%) | |
| S/PS-SW<4Hz | 20 (31.7%) | 7 (30.4%) | 13 (32.5%) | |
| Epileptiform runs ≥3 s | 41 (65.0%) | 17 (73.9%) | 14 (35%) | 0.003 |
| PCR | 2 (3.1%) | 1 (4.3%) | 1 (2.5%) | 0.601 |
| PPR | 13 (20.6%) | 5 (21.7%) | 8 (20%) | 1.000 |
| Eye closure Sensitivity | 2 (3.1%) | 1 (4.3%) | 1 (2.5%) | 0.601 |
Abbreviations: MS, myoclonic seizures; GTCS, generalized tonic-clonic seizures; AS, absence seizures; PCR, photo-convulsionresponse; PPR, photoparoxysmal responses.
The focal discharge was shown in 41 patients (65%). The frequency was fast (>4 HZ) in 46 patients (68.2.5%) and slow (<4 Hz) in 39 patients (14.7%). Photoparoxysmal response (PPR) was positive in 13 patients (20.6%). Photo convulsion response (PCR) was shown in 2 patients (3.1%) and eye closure sensitivity was seen in 2 patients (3%) (Table 2).
The epileptiform runs ≥3 s was seen in 17 patients (73.9%) in the no remission group, compared to 14 patients (35.0%) in the remission group (P=0.002<0.05, Table 2).
Predictors of Patent Outcome
To identify potential predictors of patient outcome, we performed multivariate logistic regression analysis. The results showed that significant predictors of adverse seizure outcome included epileptiform runs ≥3 s, febrile seizure and the age of onset <16 years (Table 3).
Table 3.
Independent Risk Factors for No Remission
| P | OR | CI | |
|---|---|---|---|
| Onset age <16 | 0.041 | 4.408 | 1.0–15.5 |
| Febrile seizures | 0.049 | 6.439 | 1.0–41.0 |
| Epileptiform runs ≥3 s | 0.004 | 6.807 | 1.8–25.3 |
Abbreviations: OR, odds ratio; CI, confidence interval.
Discussion
In this study, we identified several predictor factors of outcome in JME patients based on a retrospective analysis of 63 patients admitted in a single center. First, the onset age of JME <16 years was associated with adverse epilepsy outcomes. We selected the age of onset at 16 years as the predictive variable because epilepsy over 16 years of age is defined as adult epilepsy.15 The mean age of onset of JME was 14.6, which was similar to the previously reported mean age of 14.3.11 A previous study showed that the younger onset age of seizure, the higher the correlation with more severe intellectual impairment and biological behavior conditions.16 The age of onset of seizure may point to a particular disease or cause. Two studies found that younger age of onset of JME was more likely to associate with persistent seizures in JME, which may be related to the insensitivity of younger age to AED treatment.17,18 However, two long-term studies suggested that the onset age of JME was unrelated to the seizure outcome of JEM epilepsy.11,12 The different results may be explained by different research methods, follow-up time and sample size.
In addition, we found that patients with epileptiform runs ≥3 s were more likely to remission. Our results indicated that epileptiform runs ≥3 s epileptiform runs were negative predictors of seizure outcome, consistent with previous studies.19,20 In this study, epileptiform runs ≥3 s was observed in 50% of JME patients, different from epileptiform runs ≥3 s noted in 30% of JME patients in another study.20 The difference may be that we performed all 24 hrs EEG, making it easier to detect abnormalities.
Furthermore, our results showed that febrile seizure was related to adverse outcomes in JME patients. A small number of patients with febrile convulsions may subsequently develop epilepsy.21,22 Factors affecting the incidence of epilepsy following febrile seizure include neurological and developmental abnormalities, and the severity of initial febrile seizure. One study reported that prolonged febrile seizure was associated with intractable epilepsy.23 Another study showed that prolonged febrile seizure may damage hippocampal, which led to temporal lobe epilepsy.24 We speculated two possible reasons for the association between febrile epilepsy and prognosis of epilepsy. First, the risk factors of epilepsy after febrile seizures may also be the risk factors of adverse epilepsy outcomes. Second, prolonged febrile seizures may damage the brain with the consequent potential for adverse seizure outcome.
We found that the seizure outcome had no association with the seizure type. These results are different with some studies which suggest that MS+GTCS, MS+GTCS+AS, AS are related to seizure outcome,11,12,17 but are consistent with the results of other studies.9,10 Possible explanation for the controversy may be related to the small sample size and different study approaches. In addition, we found no significant association between PPR and long-term seizure outcome, consistent with previous studies.11,12
This study has several limitations. The major limitation is single-center retrospective study. Second, the sample size is relatively small. In addition, the family history of epilepsy is very low, which may be due to small sample size of this study. Furthermore, we did not evaluate the role of AED or perform formal psychiatric assessment. Therefore, large multicenter cohort studies are needed to support our findings.
In summary, we found that predictors of JME outcome included onset age <16 years, epileptiform runs ≥3 s, and febrile seizure. These findings help clinicians manage patients with JME and improve long-term outcome.
Acknowledgments
This study was funded by grants from the National Natural Science Foundation (No. 81400984) and the Natural Science Foundation of Fujian Province (No. 2014D009).
Disclosure
The authors report no conflicts of interest in this work.
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