Skip to main content
  • Research article
  • Open access
  • Published:

Clinical characteristics of post-traumatic epilepsy and the factors affecting the latency of PTE

Abstract

Objectives

To summarize the clinical characteristics of post-traumatic epilepsy (PTE), and to identify the factors affecting the latency of PTE after traumatic brain injury (TBI).

Methods

We conducted a retrospective clinical analysis in patients with PTE who visited the outpatient Department of Epilepsy, Beijing Tiantan Hospital from January 2013 to December 2018. The clinical characteristics, including gender, age distribution, seizure type, and latency were summarized. Factors affecting the latency of PTE were evaluated using Kaplan-Meier curves and Cox proportional hazard regression analysis.

Results

Complete clinical information was available for 2862 subjects, of which 78.48% were males. The mean age at TBI was 21.4 ± 15.1 years and peaked in the 0 to 12-year-old and 15 to 27-year-old groups. Generalized onset seizure was the most frequent seizure type (72.82% of patients). Approximately 19.95% PTE patients developed drug-resistant epilepsy. The latency of PTE ranged from 8 days to 20 years, with a median of 24.0 (IQR, 5.0–84.0) months. The Kaplan-Meier curves demonstrated that gender, age at TBI, severity of TBI, multiple craniocerebral injuries, post-TBI treatments, acute seizures, and residual disability were associated with PTE latency. The Cox regression model indicated that age ≥ 18 years old, severe TBI with multiple surgical operations, acute seizures, and residual disability were risk factors for shorter PTE latency.

Conclusions

PTE is more common in males than females, and peaked in the 0 to 12-year-old and 15 to 27-year-old groups. Generalized onset seizure was the most common seizure type and 19.95% of participants developed drug-resistant epilepsy. Patients aged ≥18 years old, who suffered severe TBI followed by multiple surgical operations, experienced acute seizures, or with residual disabilities had shorter PTE latency.

Peer Review reports

Background

Traumatic brain injury (TBI) is a common public health concern. More than 50 million new cases of TBI are reported each year worldwide [1], with nearly a million cases occurring in China [2]. Post-traumatic epilepsy (PTE) is one of the most common and disabling sequela of TBI, defined as repeated unprovoked seizures seven days after TBI. The incidence of PTE in the civilian population following TBI is 2 to 17%, and is correlated with the severity of TBI (mild TBI: 2.1%; moderate TBI: 4.2%; severe TBI: 16.7%) [3,4,5,6,7,8]. Among military patients with penetrating TBI, the incidence of PTE is significantly higher, at 22 to 53% [6]. In terms of composition ratio, PTE accounts for 5% of epilepsy cases and 20% of symptomatic epilepsy cases [6, 9].

For a long time, many published studies have focused on risk factors for PTE. Moderate-to-severe TBI, males, post-traumatic amnesia, focal neurologic signs, loss of consciousness at initial TBI, abnormal neuroimaging findings, acute seizures (defined as seizures occurring within seven days after TBI), and age ≥ 65 years have been reported as risk factors for PTE. Meanwhile, the more serious the TBI is, the longer the risk increases [3, 5, 10, 11]. However, those studies mainly followed up with select TBI patients, in which the number of cases of PTE was small, and there was a lack of systematic description of PTE clinical characteristics.

Early prophylactic antiepileptic drug (AED) therapy after TBI, which can reduce the onset of acute seizures, has not been shown to provide protective effects against the onset of later PTE [12,13,14]. There is a period of latency between the initial TBI and the onset of seizures, and if the latency can be prolonged, the PTE process can be delayed thus reducing the patient’s disease and the resulting financial burden [11]. Unfortunately, few studies have focused on the latency of PTE and, as such, our understanding of latency remains insufficient [5, 15, 16]. To address this gap in our understanding of PTE latency and the limitations of previous studies, the current study sought to summarize the characteristics of PTE and to identify factors affecting PTE latency.

Methods

Study participants

This study was designed as a retrospective study. We collected data from the outpatient electronic medical record system of patients diagnosed with PTE at the Epilepsy Center of Beijing Tiantan Hospital from January 2013 to December 2018. Inclusion criteria included: (1) Diagnosed with “PTE” in the outpatient department; (2) Willing to be followed up, and; (3) Possessing complete medical records. Exclusion criteria included: (1) Does not meet the diagnostic criteria of PTE after evaluation (e.g., only one seizure occurred after TBI); (2) Presence of perinatal injury, febrile convulsion, or previous seizure; (3) Pre-existing neurological disease; (4) TBI ≥ twice before first-time seizure, or; (5) First-time seizure onset > 20 years after TBI.

The study was approved by the Ethics committee of the Beijing Tiantan Hospital affiliated with the Capital Medical University of the People’s Republic of China. The study was conducted in accordance with the Declaration of Helsinki, and all participants provided informed consent for the use of their medical records.

Data collection

“The PTE patient information registration form” was designed to collect data, including demographic information, family history, personal medical records, details of the TBI, clinical condition of PTE, and auxiliary examinations. It was filled out through case review, face-to-face interviews, or telephone follow-up by formally trained neurologists. To ensure the clinical observation of PTE was greater than 1 year, all forms were filled out at least 12 months after first-time late post-traumatic seizure (LPTS) onset.

The auxiliary examinations included mainly electroencephalogram (EEG), cranial computed tomography (CT) and/or cranial magnetic resonance imaging (MRI). The first-time EEG examination, CT and/or MRI after TBI was preferentially recorded. If missing, the last auxiliary examination result was recorded. For the majority of cases, original EEG and/or imaging data were reviewed. For a minority of cases, the EEG and/or imaging data were recorded according to the findings documented in the medical records as we failed to find the original data.

Concept definitions

Previous studies have suggested that the effects of TBI on PTE may persist for up to 15–20 years, while the risk of PTE in patients with TBI compared to the general population showed no significant difference 15–20 years later after TBI [3, 5]. Therefore, we believe that the effect of TBI on seizures was inconclusive for those who had first-time seizure onset more than 20 years after TBI, so they were excluded.

TBIs were divided into three categories of severity based on neurological and imaging evaluation as follows: TBI without skull fracture and with loss of consciousness or post-trauma amnesia lasting < 30 min was considered “mild”; TBI with loss of consciousness or post-trauma amnesia lasting 30 min to < 24 h, or with skull fracture was considered “moderate”; TBI with brain contusion, intracranial hematoma, loss of consciousness, or post-trauma amnesia lasting ≥24 h was considered “severe” [3] .

Craniocerebral injury was assessed according to the site of lesion caused by the TBI. Single injury referred to a single or continuous lesion (e.g., unilateral frontotemporal, temporal parietal), while multiple injuries referred to lesions of bilateral involvement or topographically separate locations (e.g., left frontal and right occipital, bilateral frontal).

Seizure type was divided into generalized or focal onset seizure according to the 2017 classification of the International League Against Epilepsy (ILAE) [17]. We defined the most frequent seizures within the last calendar year for each subject as his/her seizure type.

Drug-resistant epilepsy was defined as “failure of achieving a seizure-free duration of 3 times the interseizure interval or 1 year (depending on which is longer) of two tolerated, appropriately chosen and used AEDs (whether as monotherapies or in combination)” [18].

The latency of PTE was defined as the time interval between the onset of first-time LPTS and TBI.

Statistical analysis

We used Microsoft Excel to build a database and SPSS 23.0 software (IBM Crop., Armonk, NY) for data analysis. Measurement data were represented by mean ± standard deviation (SD) or median, and enumeration data were expressed as a percentage. A chi-square test was used to analyze the clinical characteristic of patients that had different types of seizure. Kaplan-Meier curves and a Log-rank test were used to analyze the latency distribution in variables. A Cox proportional hazard regression model was used to examine relationships between variables and survival endpoint. The endpoint was defined as the onset of first-time LPTS. Latency (in months) was used to compute the time variable. Predictive variables included gender, age at TBI, family history of epilepsy, severity of TBI, single or multiple injuries, post-TBI treatments, acute seizures, residual disability, EEG results, and neuroimaging results.

Results

PTE characteristics

Demographic information

A total of 380,875 patients visited the outpatient Department of Epilepsy at the Beijing Tiantan Hospital from January 2013 to December 2018. Among them, 5101 patients were diagnosed with “PTE”, and 3199 of them completed the follow-up and questionnaire. Finally, we excluded 337 patients and 2862 were enrolled in this study. Our cohort design is depicted in the flow diagram in Fig. 1.

Fig. 1
figure 1

Case screening flow diagram. A total of 380,875 patients came to the outpatient Department of Epilepsy, Beijing Tiantan Hospital from January 2013 to December 2018, of which 5101 patients were diagnosed with PTE. Among them, 1902 patients were lost to follow-up, and 3199 patients completed the follow-up and the information registration form. After screening, 337 of the 3199 patients were excluded, and 2862 patients were finally enrolled in this study

Among all study participants, 2246 were males, and the male to female ratio was 3.6: 1. The age at TBI ranged from birth to 86.0 years, with a mean age of 21.4 ± 15.1 years. A total of 2192 participants (76.6%) suffered TBI at the age of 0–30 years, with a peak between 0 to 12 years (931/2862) and 15 to 27 years (1023/2862). The age of males peaked in 0–12 (626/2246) and 15–27 years (867/2246), while females only peaked in 0–12 years (305/616) (Fig. 2). A clear family history of epilepsy was observed in 10 participants (0.35%).

Fig. 2
figure 2

Gender and age distribution of study participants. The age of TBI occurrence ranged from birth to 86.0 years, peaked in 0–12 (931/2862) and 15–27 years (1023/2862): Males peaked in 0–12 (626/2246) and 15–27 years (867/2246), females peaked in 0–12 years (305/616)

Details of TBI and post-TBI treatment

Following TBI evaluation, 203 (7.09%) participants had mild TBI, 1180 (41.23%) participants had moderate TBI, and 1479 (51.68%) patients had severe TBI. Additionally, 1427 (49.86%) participants had single craniocerebral injury, and 1435 (50.14%) participants had multiple craniocerebral injuries.

Participants received different treatments after TBI depending on the severity of their injury (Table 1). All the participants with mild TBI, 1176 (99.7%) participants with moderate TBI, and 483 (32.7%) participants with severe TBI received conservative treatments, while 3 (0.3%) participants with moderate TBI and 604 (40.8%) participants with severe TBI underwent one surgical operation of puncture drainage or decompressive craniectomy (PD/DC) during the acute phase of TBI, and 1 (0.1%) participant with moderate TBI and 392 (26.5%) participants with severe TBI underwent multiple surgical operations, including one PD/DC operation during the acute phase and another cranioplasty (CP) operation later.

Table 1 Post-TBI treatments of patients of mild, moderate, and severe TBI

After treatment and rehabilitation, 2547 (88.99%) participants had a Modified Rankin Scale score (mRS) of 0 to 2, assessed as without residual disability 6 months after TBI, and 315 (11.01%) participants had an mRS score of 3 to 5, assessed as with residual disability 6 months after TBI.

Post-traumatic seizure

Following TBI, 171 (5.97%) patients experienced acute seizures. As for LPTS, 2084 (72.82%) participants experienced generalized onset seizures as the most frequent type of seizure, whereas 495 (17.30%) participants experienced focal onset seizures as the most frequent type of seizure. We could not identify the most frequent type of seizure in 283 (9.89%) participants because they had similar frequency of both seizure types. Participants who were males, ≥ 18 years old, had moderate to severe TBI, had single craniocerebral injuries, with residual disability, with normal neuroimaging were more likely to develop generalized onset seizure (Table 2). Additionally, 571 (19.95%) participants developed drug-resistant epilepsy.

Table 2 Clinical characteristics of patients had different types of seizure

Auxiliary examinations

As shown in Table 3, EEG data were successfully collected from 629 patients. The abnormal rate of EEG was 78.06%. Normal findings were observed in 138 participants, abnormal background waves without epileptiform discharges was observed in 78 participants, and epileptiform discharges were observed in 413 participants. Of the 413 participants with epileptiform discharges, 156 (37.8%) had diffuse epileptiform discharges and 257 (62.2%) had regional epileptiform discharges. Regional epileptiform discharges were most common in the temporal lobe (68.09%), including in 54 participants without temporal lobe lesions.

Table 3 EEG results of 629 patients

Neuroimaging results were successfully collected from 1045 participants, with 385 participants showing normal findings, and 660 participants showing abnormal findings (Table 4).

Table 4 Cranial CT/MRI results of 1045 patients

The latency of PTE and the factors affecting it

The latency of PTE

The latency of PTE ranged from 8 days to 20 years, with a median of 24.0 (IQR, 5.0–84.0) months. The latency of PTE lasted from 8 days to 6 months in 936 participants (32.7%), 7 to 12 months in 391 participants (13.7%), 13 to 24 months in 243 participants (8.5%), 24 to 60 months in 429 participants (15.0%), 61 to 120 months in 497 participants (17.4%), and longer than 120 months in 366 participants (12.8%) (Fig. 3).

Fig. 3
figure 3

The distribution of PTE latency. The latency of PTE ranged from 8 days to 20 years, with a median latency of 24.0 (IQR, 5.0–84.0) months. The latency of PTE lasted 8 days to 6 months in 32.70% (936/2862) patients, 7 to 12 months in 13.66% (391/2862) patients, 13 to 24 months in 9.36% (243/2862) patients, 24 to 60 months in 14.99% (429/2862) patients, 61 to 120 months in 17.37% (497/2862) patients, and longer than 120 months in 12.79% (366/2862). The violin plot shows that patients who had TBI at the age ≥ 18 years old, suffered severe TBI, underwent multiple surgical operations CP operation after severe TBI, experienced acute seizures, and had residual disability tend to have a shorter latency

Factors affecting the latency of PTE

The results of the univariate analyses are shown in Table 5. There were statistically significant differences in the distribution of latency between the following variables: gender (P = 0.080), age at TBI (P < 0.001), the severity of TBI (P = 0.003), single or multiple craniocerebral injuries (P = 0.050), post-TBI treatment (P < 0.001), acute seizure (P < 0.001), and residual disability (P < 0.001). None of the following variables resulted in a significant difference in the distribution of PTE latency: family history of epilepsy, abnormal EEG results, or abnormal neuroimaging results.

Table 5 Results of Log-rank test of latency distribution in variables

To identify factors that independently affect PTE latency, variables that resulted in a significant difference using the Log-rank test were entered into a Cox regression analysis. The results of the univariate analysis showed that there was no significant difference in the distribution of latency between participants with mild TBI and participants with moderate TBI (P = 0.740). When constructing the proportional hazard model in the multivariate analysis, we combined mild and moderate TBIs together for analysis. Additionally, participants with severe TBI were stratified into three subgroups (severe TBI with conservative treatment, severe TBI with PD/DC, severe TBI with PD/DC + CP) based on their post-TBI treatments. The results showed that age ≥ 18 years, severe TBI followed by multiple surgical operations, presence of acute seizures, and residual disability after TBI were risk factors for shorter latency, while severe TBI followed by conservative treatments was a protective factor. Gender and single or multiple craniocerebral injuries were not independent factors affecting PTE latency (Table 6).

Table 6 Results of Cox proportional hazard model for PTE latency in 2862 PTE patients

Discussion

PTE is one of the most common and serious complications of TBI, leading to poor functional outcomes and a medical burden for survivors of TBI [19, 20]. There is a lack of investigations on the clinical characteristics and latency of PTE, especially with a large sample size of patients with PTE. The current study enrolled 2862 participants diagnosed with PTE, summarized the clinical characteristics of PTE, and found that age at TBI, severity of TBI, post-TBI treatments, acute seizures, and residual disability were independent factors affecting the latency of PTE, thereby providing a reference point for survivors of TBI when making therapeutic decisions.

Clinical characteristics of PTE

Comparing the gender composition of the study participants, we found that males are significantly more likely than females to be diagnosed with TBI, as has been reported [4, 21]. Males and females have different personality traits and gender roles: males are more aggressive, are involved in a wider range of social activities, and are more susceptible to TBI, especially young adult males [2]. Several studies have also indicated that being male was an independent risk factor for PTE after TBI [8, 10]. This might be related to the hormonal differences between the sexes [22]. Higher rates of alcohol abuse among males might also play a role [10]. However, we lacked the data on alcohol use for further analysis. The age range with the most cases of TBI peaked in the 0 to 12 and 15 to 27 year-old groups, consistent with previous studies on PTE in children [5] and adults [8]. The aggregation of patients in the 0 to 12 year-old group might be related to the strong sense of curiosity and lack of discernment amongst children.

Generalized onset seizures were the most common seizure type, accounting for 72.8% of seizures, which is consistent with the previously reported rate of 79.0% [4]. This might be attributed to the altered brain microenvironment after TBI because of decreased cerebral blood flow, altered metabolism, increased neuronal excitability, and large amounts of hemosiderin deposited in the neural fiber network. One the contrary, Tubi et al. reported that continuous EEG monitoring indicated more than half of seizures after TBI were focal onset, and 20 to 30% of what we think of as generalized tonic-clonic seizures were actually focal to bilateral tonic-clonic seizures [20, 23]. Unfortunately, EEG during epileptic seizures was not collected in all participants, thus we were not able to verify the seizure type based on EEG. We also observed that demographic characteristics and TBI details might be factors that impact the development of generalized onset or focal onset seizures.

PTE latency and factors affecting the latency

The latency of PTE

We found that the proportion of patients who had a PTE latency period shorter than 1 year was lower than what Zhao and Englander reported [4, 7], but was consistent with other studies which included a larger number of participants and had longer follow-up periods [3, 5, 15]. In addition, a study of PTE in adults indicated that the median PTE latency period was 1 year after 10 years of follow-up [8], and in this study we found the median PTE latency period was 2 years. Considering that previous studies might miss patients who developed first-time seizure after the follow-up period due to limited follow-up time, we believe that our results on the latency are relatively reliable, as this study was not limited by the follow-up time and no PTE patients would be missing.

Factors affecting the latency of PTE

In this study, participants who suffered TBI at age ≥ 18 years old had shorter latency than those who suffered TBI at age < 18 years old. Christensen et al. [5] also reported that TBI at age ≥ 15 years old was an independent risk factor for PTE. Similar observations of older age on PTE has been reported by Annegers [3] and Zhao [7]. Those studies suggested that epilepsy susceptibility after TBI increases with age, and might be associated with neuroinflammation, decreased neuronal metabolism, neuronal degeneration, and abnormal cerebral hemodynamics [24]. Interestingly, epileptic discharges in juveniles were more frequent than in adults during the acute phase of TBI. A multicenter study reported that epileptic discharges were observed in 42.5% of TBI cases in children, and younger age was a significant risk factor for post-traumatic seizure (PTE) and status epilepticus during the acute phase [25]. The differences in the risk of epileptic seizures between adult and juvenile patients at different periods after TBI are related to the characteristics of brain development of patients of different ages: the cerebral cortex of juvenile patients is immature, the function of inhibiting nerve reflex is not established yet, and they are more sensitive to external injury stimuli. Therefore, abnormal discharges of cerebral neurons are more likely to occur in the acute phase of TBI for juvenile patients, which presents as sub-clinical epileptic discharge or acute symptomatic seizures. At the same time, the young brain of juvenile patients is more malleable and adaptable than the aging brain, so it is less likely to form a chronic epileptic brain network after the acute phase of TBI.

The severity of TBI is an established etiological risk factor for PTE [3, 5, 6, 10]. It was reported that patients who had more severe TBI may develop recurrent seizures within a shorter time interval and may have more frequent seizures [23]. In terms of the distribution of PTE latency, we found that there was no difference between participants who had mild TBI and moderate TBI. PTE latency in participants that suffered severe TBI was related to their post-TBI treatments: latency in participants who received conservative treatments was longer than that of participants who had mild to moderate TBI; the latency of participants that underwent a single surgical operation (PD/DC) showed no difference with that of participants that had mild to moderate TBI; and the latency of patients undergoing multiple surgical operation (PD/DC + CP) was shorter than that of participants that had mild to moderate TBI. This observation is not only related to the brain damage caused by TBI, but also to the secondary brain damage caused by the operation itself. As seizures are mainly related to abnormal discharges of the cerebral cortical network, patients with severe TBI are more likely to have damage in the deep brain and even the brain stem rather than the cerebral cortex or subcortical, which might explain why they have a longer latency. However, surgical procedures after TBI can cause significant damage to the cerebral cortex, especially the CP procedure. For patients with TBI complicated with intracranial edema, cerebral hernia, or high cranial pressure, PD/DC surgery helps to expand brain volume, reduce intracranial pressure, and reduce mortality after TBI. Thus, it is recommended that the PD/DC procedure be performed as soon as possible after TBI for those who meet the surgical indication. Although CP might shorten the latency, some reports have shown that it plays an important role in regulating brain blood flow, improving brain metabolism, and reducing the complications caused by PD/DC surgery. Additionally, CP could effectively eliminate the abnormal appearance of bone flap defects, and reduce the psychological burden of patients with TBI [26]. Therefore, we suggest that a multidisciplinary assessment be made to make recommendations regarding the decision and timing of CP operation. While it has been reported that the high incidence of PTE may be related to multiple craniocerebral injuries and lesion location (the temporal lobe) [4, 20], we found that latency was not affected by single or multiple craniocerebral injuries.

Annegers et al. [3] reported that acute seizures were not a risk factor for PTE. Alan et al. [23] also reported that the seizure recurrence rate did not increase in patients with acute seizures. On the contrary, other studies [4, 7] found that acute seizures were a predictor of PTE, and the secondary brain injury caused by acute seizures plays an important role in PTE progression [27, 28]. The results of our study support the latter view as we found that patients with acute seizures had shorter latency. Thus, we recommend that prophylactic AED treatments be administered in the acute phase of TBI. Although the incidence of PTE is not reduced, it might reduce acute seizures, which is expected to prolong PTE latency by reducing secondary brain injury, thus improving the prognosis of PTE [13].

We found that patients who had residual disability after TBI had a significantly shorter PTE latency than those who did not have residual disability, which was not described in previous studies. We believe that short PTE latency and residual disability might be mutually reinforcing, but further investigation is required to confirm this hypothesis.

Continuous EEG monitoring during the acute phase helps to identify subclinical epileptic discharges and non-convulsive epileptic state [25]. While epileptiform abnormalities have been reported to increase the risk of PTE, especially sporadic epileptiform [29], it showed no effect on PTE latency in this study. We observed an abnormal EEG rate of 78.0%, lower than the previous reported rate of 90.0% [7]. The discrepancy in abnormal EEG rate may due to the fact that EEG examination was performed during the interictal stage in most patients in this study, and the EEG monitoring time might have been too short to detect abnormalities.

We found that the neuroimaging abnormalities also did not affect PTE latency, in contrast with its effect on the incidence of PTE [3, 5, 7, 8]. This may be related to the fact that not all the neuroimaging was performed within 24 h after TBI. That is to say, the neuroimaging results might not truly reflect the changes in craniocerebral structure in the acute phase of TBI. Further studies are needed to determine the exact effects of craniocerebral structural damage on PTE latency.

Limitation

As a retrospective study, this study is limited by the inherent to the retrospective nature. Most of the participants in the study were from Beijing and surrounding areas, the results might not be representative of the general situation around China. The results of long-tern EEG monitoring and neuroimaging during the acute phase of TBI were lacking in a part of subjects. Therefore, partial description of the clinical characteristics of PTE lacks of sufficient data support. In addition, this study didn’t analyze all reported risk factors for PTE (e.g., alcoholism, post-traumatic amnesia, focal neurologic signs, et al.), which means possible missing of few factors affecting the latency. Thus, further population-based prospective studies are needed to fully clarify the clinical characteristics of PTE and factors affecting the latency of PTE.

Conclusion

PTE is more common in males than in females, and peaks in patients aged 0 to 12 and 15 to 27 years old. Most patients with PTE suffered moderate-to-severe TBI, including single or multiple craniocerebral injuries. Generalized onset seizures were the most common seizure type. PTE latency ranged from 8 days to 20 years, and about half had a latency period shorter than 1 year, and more than 80% had a latency period shorter than 10 years. Patients who had TBI at the age ≥ 18 years old, suffered severe TBI followed by multiple surgical operations, experienced acute seizures, and had residual disability were more likely have shorter PTE latency.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

PTE:

Post-traumatic epilepsy

TBI:

Traumatic brain injury

AEDs:

Antiepileptic drugs

LPTS:

Late post-traumatic seizure

ILAE:

International League Against Epilepsy

EEG:

Electroencephalogram

CT:

Computed tomography

MRI:

Magnetic resonance imaging

PD:

Puncture drainage

DC:

Decompressive craniectomy

CP:

Cranioplasty

mRS:

Modified Rankin Scale

PTS:

Post-traumatic seizure

References

  1. Feigin VL, Theadom A, Barker-Collo S, Starkey NJ, McPherson K, Kahan M, et al. Incidence of traumatic brain injury in New Zealand: a population-based study. Lancet Neurol. 2013;12(1):53–64. https://doi.org/10.1016/S1474-4422(12)70262-4.

    Article  PubMed  Google Scholar 

  2. Jiang JY, Gao GY, Feng JF, Mao Q, Chen LG, Yang XF, et al. Traumatic brain injury in China. Lancet Neurol. 2019;18(3):286–95. https://doi.org/10.1016/S1474-4422(18)30469-1.

    Article  PubMed  Google Scholar 

  3. Annegres JF, Hauser WA, Coan SP, Rocca WA. A population-based study of seizures after traumatic brain injuries. N Engl J Med. 1988;338:20–4.

    Article  Google Scholar 

  4. Englander J, Bushnik T, Duong TT, Cifu DX, Zafonte R, Wright J, et al. Analyzing risk factors for late posttraumatic seizures: a prospective, multicenter investigation. Arch Phys Med Rehabil. 2003;84(3):365–73. https://doi.org/10.1053/apmr.2003.50022.

    Article  Google Scholar 

  5. Christensen J, Pedersen MG, Pedersen CB, Sidenius P, Olsen J, Vestergaard M. Long-term risk of epilepsy after traumatic brain injury in children and young adults: a population-based cohort study. Lancet. 2009;373(9669):1105–10. https://doi.org/10.1016/S0140-6736(09)60214-2.

    Article  PubMed  Google Scholar 

  6. Lowenstein DH. Epilepsy after head injury: an overview. Epilepsia. 2009;50(Suppl 2):4–9. https://doi.org/10.1111/j.1528-1167.2008.02004.x.

    Article  PubMed  Google Scholar 

  7. Zhao Y, Wu H, Wang X, Li J, Zhang S. Clinical epidemiology of posttraumatic epilepsy in a group of Chinese patients. Seizure. 2012;21(5):322–6. https://doi.org/10.1016/j.seizure.2012.02.007.

    Article  PubMed  Google Scholar 

  8. Karlander M, Ljungqvist J, Zelano J. Post- traumatic epilepsy in adults: a nationwide register- based study. J Neurol Neurosurg Psychiatry. 2021;9:617–21.

  9. Christensen J. The epidemiology of posttraumatic epilepsy. Semin Neurol. 2015;35(3):218–22. https://doi.org/10.1055/s-0035-1552923.

    Article  PubMed  Google Scholar 

  10. Xu T, Yu X, Ou S, Liu X, Yuan J, Huang H, et al. Risk factors for posttraumatic epilepsy: a systematic review and meta-analysis. Epilepsy Behav. 2017;67:1–6. https://doi.org/10.1016/j.yebeh.2016.10.026.

    Article  PubMed  Google Scholar 

  11. Chen W, Li MD, Wang GF, Yang XF, Liu L, Meng FG. Risk of post-traumatic epilepsy after severe head injury in patients with at least one seizure. Neuropsychiatr Dis Treat. 2017;13:2301–6. https://doi.org/10.2147/NDT.S141486.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Benardo LS. Prevention of epilepsy after head trauma: do we need new drugs or a new approach? Epilepsia. 2003;44(s10):27–33. https://doi.org/10.1046/j.1528-1157.44.s10.2.x.

    Article  CAS  PubMed  Google Scholar 

  13. Temkin NR. Antiepileptogenesis and seizure prevention trials with antiepileptic drugs: meta-analysis of controlled trials. Epilepsia. 2001;42(4):515–24. https://doi.org/10.1046/j.1528-1157.2001.28900.x.

    Article  CAS  PubMed  Google Scholar 

  14. Ikonomidou C, Turski L. Antiepileptic drugs and brain development. Epilepsy Res. 2010;88(1):11–22. https://doi.org/10.1016/j.eplepsyres.2009.09.019.

    Article  CAS  PubMed  Google Scholar 

  15. Yeh CC, Chen TL, Hu CJ, Chiu WT, Liao CC. Risk of epilepsy after traumatic brain injury: a retrospective population-based cohort study. J Neurol Neurosurg Psychiatry. 2013;84(4):441–5. https://doi.org/10.1136/jnnp-2012-302547.

    Article  PubMed  Google Scholar 

  16. Emanuelson I, Uvebrant P. Occurrence of epilepsy during the first 10 years after traumatic brain injury acquired in childhood up to the age of 18 years in the south western Swedish population-based series. Brain Inj. 2009;23(7-8):612–6. https://doi.org/10.1080/02699050902973913.

    Article  CAS  PubMed  Google Scholar 

  17. Fisher RS, Cross JH, French JA, Higurashi N, Hirsch E, Jansen FE, et al. Operational classification of seizure types by the international league against epilepsy: position paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017;58(4):522–30. https://doi.org/10.1111/epi.13670.

    Article  PubMed  Google Scholar 

  18. Kwan P, Arzimanoglou A, Berg AT, Brodie MJ, Allen Hauser W, Mathern G, et al. Definition of drug resistant epilepsy: consensus proposal by the ad hoc task force of the ILAE commission on therapeutic strategies. Epilepsia. 2010;51(6):1069–77. https://doi.org/10.1111/j.1528-1167.2009.02397.x.

    Article  CAS  PubMed  Google Scholar 

  19. Lin WJ, Harnod T, Lin CL, Kao CH. Mortality risk and risk factors in patients with posttraumatic epilepsy: a population-based cohort study. Int J Environ Res Public Health. 2019;16(4):589. https://doi.org/10.3390/ijerph16040589.

    Article  PubMed Central  Google Scholar 

  20. Tubi MA, Lutkenhoff E, Blanco MB, McArthur D, Villablanca P, Ellingson B, et al. Early seizures and temporal lobe trauma predict post-traumatic epilepsy: a longitudinal study. Neurobiol Dis. 2019;123:115–21. https://doi.org/10.1016/j.nbd.2018.05.014.

    Article  PubMed  Google Scholar 

  21. Wang H, Xin T, Sun X, Wang S, Guo H, Holton-Burke C, et al. Post-traumatic seizures--a prospective, multicenter, large case study after head injury in China. Epilepsy Res. 2013;107(3):272–8. https://doi.org/10.1016/j.eplepsyres.2013.10.006.

    Article  PubMed  Google Scholar 

  22. Nass RD, Sassen R, Elger CE, Surges R. The role of postictal laboratory blood analyses in the diagnosis and prognosis of seizures. Seizure. 2017;47:51–65. https://doi.org/10.1016/j.seizure.2017.02.013.

    Article  PubMed  Google Scholar 

  23. Haltiner AM, Temkin NR, Dikmen SS. Risk of seizure recurrence after the first late posttraumatic seizure. Arch Phy Med Rehabil. 1997;78(8):835–40. https://doi.org/10.1016/S0003-9993(97)90196-9.

    Article  CAS  Google Scholar 

  24. van Vliet EA, Ndode-Ekane XE, Lehto LJ, Gorter JA, Andrade P, Aronica E, et al. Long-lasting blood-brain barrier dysfunction and neuroinflammation after traumatic brain injury. Neurobiol Dis. 2020;145:105080. https://doi.org/10.1016/j.nbd.2020.105080.

    Article  CAS  PubMed  Google Scholar 

  25. Arndt DH, Lerner JT, Matsumoto JH, Madikians A, Yudovin S, Valino H, et al. Subclinical early posttraumatic seizures detected by continuous EEG monitoring in a consecutive pediatric cohort. Epilepsia. 2013;54(10):1780–8. https://doi.org/10.1111/epi.12369.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Winkler PA, Stummer W, Linke R, Krishnan KG, Tatsch K. The infiuence of cranioplasty on postural blood flow regulation, cerebrovascular reserve capacity, and cerebral glucose metabolism. Neurosurg Focus. 2000;8:e9.

    Article  CAS  Google Scholar 

  27. Ghadiri T, Gorji A, Vakilzadeh G, Hajali V, Khodagholi F, Sharifzadeh M. Neuronal injury and death following focal mild brain injury: the role of network excitability and seizure. Iran J Basic Med Sci. 2020;23(1):63–70. https://doi.org/10.22038/IJBMS.2019.37558.8932.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Vespa PM, Miller C, McArther D, et al. Nonconvulsive electrographic seizures after traumatic brain injury result in a delayed, prolonged increase in intracranial pressure and metabolic crisis. Crit Care Med. 2007;35(12):2830–6. https://doi.org/10.1097/01.CCM.0000295667.66853.BC.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Kim JA, Boyle EJ, Wu AC, Cole AJ, Staley KJ, Zafar S, et al. Epileptiform activity in traumatic brain injury predicts post-traumatic epilepsy. Ann Neurol. 2018;83(4):858–62. https://doi.org/10.1002/ana.25211.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

The authors thank AiMi Academic Services (www.aimieditor.com) for English language editing and review services.

Funding

This work was supported by National Key R&D Program of China 2017YFC1307500, Capital Healthy Development Research Funding 2016–1-2011 & 2020–1-2013.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. TTY, XL, LS were major contributor in the acquisition of data. TTY, JPW, QW analyzed the data. TTY drafted and revised the manuscript and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Qun Wang.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Ethics committee of the Beijing Tiantan Hospital affiliated with the Capital Medical University of the People’s Republic of China, the reference number for the ethics approval is KY-2017-071-02. For each patient, an informed consent was obtained verbally before study enrollment or, in the case of impossibility for patient to give informed consent because of his/her neurological status, informed consent was obtained by a family member, which was approved by the Ethics committee of the Beijing Tiantan hospital. The study was conducted in accordance with the Declaration of Helsinki, and all participants provided informed consent for the use of their medical records.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, T., Liu, X., Sun, L. et al. Clinical characteristics of post-traumatic epilepsy and the factors affecting the latency of PTE. BMC Neurol 21, 301 (2021). https://doi.org/10.1186/s12883-021-02273-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12883-021-02273-x

Keywords