Background
Stroke, one of the major causes of epilepsy, accounts for up to 11 % of epilepsy patients in western countries [
1]. American Stroke Association has recently reported that about one in six (15.3 %) stroke survivors experiences seizures within about 3.4 years after suffering brain attack [
2]. Disabling large cortical stroke lesions and hemorrhagic strokes are known to be associated with frequent acute symptomatic seizures [
2‐
12]. In succession, stroke leads to a 23-fold increase in remote seizures and a 17-fold increase in epilepsy incidence rate after the acute phase [
13]. However, these epidemiologic analyses have not provided clinical scales for the prediction of seizure recurrence nor treatment guidelines such as when to start anti-epileptic drug (AED) for those patients with high risk of seizure recurrence.
In fact, AEDs have been often prescribed for remote seizures due to higher likelihood of subsequent unprovoked events [
11,
14]. However, AED prophylaxis is not generally considered to prevent development of future epilepsy regardless of etiology. The most debating point is whether AED is needed after the first acute symptomatic seizure. Up to date, there is no consensus on treatment option for patients with post-stroke seizure after ischemic stroke (PSSi) except individualization depending on each clinician's own criteria [
15,
16], although there are some clinical evidence and guidelines on AED management for post-hemorrhagic stroke seizure (PSSh) patients [
17,
18]. This is probably caused by the fact that seizures are less frequent complication after infarction (2–13.5 %) than hemorrhages (4.3–24 %) [
2,
3,
5,
6,
11,
12]. However, the number of PSSi patients is pretty high because cerebral ischemia is much more prevalent than hemorrhage, especially in Korean population (76.1 % vs. 23.9 % respectively [
19]), with increasingly ageing populations.
AED treatment has been generally recommended for PSSi patients after the second seizure event, but not for the first PSSi, except when status epilepticus occurs as seizure onset [
20]. This recommendation is based on the investigated virtue that AEDs might reduce the occurrence of second seizure, although AEDs have no effect on the pathogenesis of disease or its late prognosis [
21,
22]. The location of stroke lesions has been reported as an important clinical factor enduring predisposition to generate further seizures. In addition, several previous studies have verified that early PSSi is an independent risk factor for the development of late and recurrent seizures [
9,
13].
Early seizure control is important because uncontrolled repetitive seizures may threaten patients not only through potential physical injuries, but also through deleterious effects on the brain with stroke lesion and degenerative changes considering the fact that patients are mainly the elderly. It is also plausible that recurrent peri-infarct depolarization might be harmful to already vulnerable tissues because the additional metabolic stress could cause further neuronal injuries [
23,
24]. Although whether seizures are directly connected to worse stroke outcome remains controversial, seizures after stroke are known to be related to increased resource utilization and length of hospital stay as well as decreased survival at 30-day and 1-year time points [
12,
25,
26].
The present study aimed to better define the clinical factors for predicting high risk of seizure recurrence after the first PSSi. Out study placed a special emphasis on the seizure recurrence predicting factors among ischemic stroke survivors, hopefully to develop practical AED treatment guideline. The proposed clinical scale for predicting seizure recurrence could provide clinicians with practical implications on ischemic stroke survivor management, such as identifying the population that might benefit from immediate AED intervention.
Methods
Patients
Among a total of 3792 consecutive patients admitted to Ewha Womans University Hospital between 2001 and 2012 due to cerebral infarction, 124 PSSi patients were included in this study. Data were obtained from medical records of their routine care for stroke and seizure at admission and outpatient department visits. The study endpoint of each individual was the last outpatient visit or seizure recurrence. Mean follow-up duration was 44.4 months from relevant ischemic stroke insult and 29.9 months from PSSi onset.
Definitions
Acute stroke was defined as occurrence of acute neurological symptom of presumed vascular origin lasting 24 h or longer. It was confirmed by radiologic findings. Transient ischemic attack (TIA) was excluded. Primary hemorrhagic stroke and patients who were previously diagnosed with epilepsy or had probable epileptogenic lesions such as cerebral hemorrhage, traumatic brain injury, brain surgery, cortical dysplasia, brain tumor, and cerebral vascular malformation were also excluded. Radiologic evidence of clinically silent old lacunar infarctions, periventricular leukoaraiosis, and secondary hemorrhagic transformation of ischemia were not considered as exclusion criteria. In case of recurrent stroke, clinically significant and the most recent accident before the first seizure, regardless of lesion size and location, was considered as PSSi relevant stroke.
Seizure was diagnosed clinically, and distinguished as being partial or generalized, according to the 2010 International League Against Epilepsy (ILAE) criteria [
27,
28]. Consequently, non-convulsive electroencephalographic (EEG) seizure was ruled out. Simple loss of consciousness or short-lasting episodes of mental confusion was not considered as sufficient for epileptic seizure diagnosis. Status epilepticus was defined as one continuous and unremitting seizure lasting for more than 5 min or recurrent seizures without restoration of consciousness for greater than 5 min [
29]. Criteria for early and late PSSi were within 7 days or later from stroke onset [
20,
30]. No distinction was made between acute symptomatic seizures and early PSSi. The recurred second seizure event was unprovoked and separated from the first one by more than 24 h according to the epilepsy definition [
28].
Clinical variables and indicators for seizure outcomes
To diagnose and determine the pathogenesis of stroke, all patients were investigated in a standardized fashion including neuroimaging modality (computed tomography [CT] or magnetic resonance imaging [MRI] with/without angiography). Duplex ultrasound and transesophageal or transthoracic echocardiography (TEE/TTE) were performed when necessary for further etiological classification (Trials of Org 10172 in Acute Stroke Treatment [TOAST] classification) [
31].
Image was obtained within 24 h of PSSi relevant stroke onset. Infarct size was categorized as: small (≤15 × 15 mm and ≤ 5 slices), moderate (≤15 × 15 mm and > 5 slices or > 50 × 50 mm and ≤ 5 slices), and large (>50 × 50 mm and > 5 slices). Image follow-up was performed to rule out new epileptogenic lesions in the late PSSi group and patients with seizure recurrence. Functional disability was evaluated at discharge after stroke care based on the modified Rankin score (mRS) categorized as mild (mRS ≤ 1), moderate (2 ≤ mRS ≤ 3), or severe (mRS ≥ 4). Standard EEG of 20–30 min duration was performed within 24–72 h of PSSi onset and coded as normal, generalized slow, regional slow, or focal epileptiform discharge. Analysis was performed to determine whether EEG findings were correlated with relevant stroke lesion.
Seizure recurrence risk scoring models
After compiling results from previous studies and our own results, we defined the following 10 clinical seizure recurrence predictors after the first PSSi: seizure onset age under 65 years old [
3,
4,
12], male gender [
10], atrial fibrillation, lesion size [
9,
10,
12], cortex involvement [
4,
5,
8‐
10,
12,
32], hemorrhagic transformation [
5,
11,
32], functional disability consequence of stroke [
3,
4,
7‐
9,
32,
33], status epilepticus [
34], stroke lesion correlative EEG findings [
33], and partial seizure. We derived and validated several scoring models based on the combination of these factors to predict seizure recurrence in early and late PSSi groups, respectively. Another two models from the Post-Stroke Epilepsy Risk Scale (PoSERS) studies [
32] and the medical research council (MRC) Multicenter trial for Early Epilepsy and Single Seizures (MESS) [
33] were also applied to our patients and compared to our own scales.
Statistical analysis
All statistical data analyses were performed using SPSS ver. 21.0 (SPSS Inc., Chicago, IL, USA) and MedCalc programs (MedCalc Software Inc., Ostend, Belgium). Chi-square, Fisher’s exact test, and linear by linear association were used to compare categorical variables. Independent t-test was used for continuous variables to make univariable comparisons of clinical characteristics. Multivariable analysis was conducted using logistic regression model. Two-sided p-value of less than 0.05 was considered as statistically significant. Associations were evaluated by odd ratios (OR) with 95 % confidence intervals (CI). Receiver operating characteristic (ROC) curve analysis was conducted for performance measure of total scale and different subscales after item selection.
Discussion
PSSi is increasingly encountered in clinical practice as population ages. A tool to identify patients with high risk of recurrent unprovoked seizures would benefit such patients. However, such tool is currently unavailable because previous studies mainly reported the PSS incidence related factors rather than seizure recurrence predicting factors without distinction of stroke etiology. This could be an important process to identify epilepsy patients in accordance with the newly proposed ILAE definition in 2014 as being after single seizure with enduring predisposition to recurrent seizures at a chance of greater than 60 % [
28,
35].
The main findings of our study are as follows: (1) the overall prevalence of PSSi among ischemic stroke survivors was 3.3 % (124/3792); (2) seizure recurred patients among early PSSi (35.4 %, 17/48) exhibited similar tendency to the late PSSi group rather than the general early PSSi group in some clinical characteristics - atrial fibrillation, cortical stroke lesion - in addition to the prevalence of male gender, severe functional disability, and partial seizure type; (3) seizure recurrence in the late PSSi group (48.7 %, 37/76) was more common in patients of younger age (≤65 years old), male gender, large lesion size, and partial seizure type; (4) the validity of seizure recurrence risk score with these clinical variables was improved with sensitivity of 70.6 % and specificity of 71.0 % for the early PSSi group, and with sensitivity of 62.2 % and specificity of 81.1 % for the late PSSi group, respectively.
It has been reported that seizure onset latency from antecedent is one of the major AED prescription criteria of acquired epilepsy based on the investigated risk difference of subsequent event up to 80 % [
9,
11,
14]. Therefore, early and late PSSi groups were compared in this study. Different prognostic factors including seizure recurrence rate are regarded as a reflection of underlying pathomechanism associated with the enduring predisposition. Early seizures are thought to result from acute disruption of brain integrity, metabolic homeostasis, and excitatory glutamate release, leading to secondary neuronal injury and electrically irritable tissue. In contrast, late seizures are related to neuronal circuit reorganization by aberrant gliosis and development of hyperexcitable cicatrix, eventually resulting in spontaneous seizures [
23,
36]. We hypothesized that clinical characteristics of PSSi patients might reflect the epileptogenic predisposition of post-stroke brain. Our results suggested that different epilepsy pathogenesis might be involved in early and late PSSi because the adjusted ORs of recurrence related factors did not match each other.
In our study, significantly different predisposing factors between early and late PSSi groups were: atrial fibrillation history, large lesion size, and cortical involvement of lesion. Seizure recurrence rate between the two groups did not reach statistical significance possibly due to the relatively lower recurrence rate in the late onset PSSi group compared with other large center studies (12.4–57.1 %) [
3,
4,
6,
8]. The ascertained item lists not only contained plausible factors for acquired localization-related epilepsy, but also contained implausible demographic factors (age, sex) and comorbid factors (e.g. atrial fibrillation). Although establishing causality based on a statistical association is hazardous, excluding the latter factors from the suggested score system failed to enhance the sensitivity or specificity of seizure recurrence risk prediction. Considering lower volume of cortical gray matter and decreased excitability due to degenerative changes, it is easy to assume that younger patients might develop seizures more often [
37]. As for gender, hormone effect especially progesterone can account for difference in promoting and enhancing repair after traumatic brain injury and stroke [
38]. The association between seizure and cardioembolism is often mentioned in published studies [
8,
39]. However, such association remains controversial due to various study designs and diagnostic testing. Another considering point is confounders and interaction between predictors, such as age with seizure manifestation, survival rate, atrial fibrillation with cortical involvement, and so on.
Among those relatively more plausible epileptogenic lesion-related factors, cortical location was consistently found to be an associated factor for the determination of the probability of seizure. Thus, cortical location can be an important clinical factor to decide for AED treatment in clinical practice. The interaction effect between predictors, especially with lesion size or severe functional disability, should be further evaluated with large number of patients to validate and enhance the specificity of suggested scale. Other factors exhibited discrepancies between our results and those from previous studies, possibly due to our specific focus on seizure recurrence and etiology limitation to ischemic stroke. Extravasation and irritation of blood metabolism product might have epileptogenic role in acute phase of stroke [
40]. However, our study result suggest a low correlation between hemorrhagic transformation of ischemia and seizure recurrence. Clinical partial seizure type exhibited significant positive trend of seizure recurrence in our study, whereas EEG finding was insignificant. EEG finding of post-stroke brain especially in acute phase has relatively low diagnostic value for seizure [
41], as it reflects acute dysfunction of post-stroke brain rather than epileptogenic activity. The correlation between status epilepticus and seizure recurrence was strong in patients with early PSSi. This might be associated with severe and large stroke lesion in those patients presenting status epilepticus as early seizures [
34].
Although clinicians always deliberately weigh the pros and cons of AED administration in each individual, inconsistent rules might result in inappropriate treatment. In our subjects, there were untreated AED required for 3 early and 7 late PSSi patients and overestimated AED taken by 11 early and 8 late PSSi patients. Consistent application of evidenced guideline based on seizure recurrence risk measure with high specificity could decrease gratuitous side effects and interactions of AED with many other drugs taken by disabled elderly patient. The higher predictive power of our own score than scores of other previous studies without distinction of stroke etiology indicates the necessity of distinct score exclusively for ischemic stroke etiology.
Our study have several limitations. First, we reviewed the patients’ medical records retrospectively, so seizure events could have been missed or underdiagnosed in some patients. Second, the observational nature of our study nature is prone to uncontrolled AED prescription, variable follow up duration, or bias of unmeasured factors. Lastly, the small number of patients in this study might have limited to derive adjusted ORs with multiple predictor variables. However, we tested the distribution of all continuous variables and confirmed that they are normally distributed. Although we selected clinical variables using a modest statistical guideline of p < 0.3, we found that the validity of our scoring systems was improved with relatively good sensitivity and specificity. This kind of clinical scoring system for seizure recurrence in PSSi patients could be useful with further validation in the future large scale prospective study.