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. 2021 Feb 25;11:4708. doi: 10.1038/s41598-021-84203-y

Post-traumatic seizures and antiepileptic therapy as predictors of the functional outcome in patients with traumatic brain injury

Valeria Pingue 1,, Chiara Mele 2, Antonio Nardone 1,2
PMCID: PMC7907376  PMID: 33633297

Abstract

Post-traumatic seizures (PTS) are a common and debilitating complication of traumatic brain injury (TBI) and could have a harmful impact on the progress of patient rehabilitation. To assess the effect of PTS and relative therapy on outcome in the initial phase after TBI, during the rehabilitation process when neuroplasticity is at its highest, we retrospectively examined the clinical data of 341 adult patients undergoing rehabilitation for at least 6 months post-TBI in our neurorehabilitation unit between 2008 and 2019. We correlated through logistic regression the occurrence of seizures and use of anti-seizure medication (ASM) with neurological and functional outcomes, respectively assessed with the Glasgow Coma Scale (GCS) and the Functional Independence Measure (FIM). PTS were documented in 19.4% of patients: early PTS (EPTS) in 7.0%; late PTS (LPTS) in 9.4%; both types in 3.0%. Patients who developed EPTS had an increased risk of developing LPTS (OR = 3.90, CI 95% 1.58–9.63, p = 0.003). Patients with LPTS had a significantly higher risk of worse neurological (p < 0.0001) and rehabilitation (p < 0.05) outcome. Overall, 38.7% of patients underwent therapy with ASM; prophylactic therapy was prescribed in 24.0% of patients, of whom 14.6% subsequently developed seizures. Mortality was associated with a lower FIM and GCS score on admission but not significantly with PTS. The use of ASM was associated with a worse rehabilitation outcome, independently of the onset of epilepsy during treatment. LPTS appear to exert a negative impact on rehabilitation outcome and their occurrence is not reduced by prophylactic therapy, whereas EPTS do not influence outcome. Our findings caution against the generic use of prophylactic therapy to prevent post-traumatic epilepsy in patients with TBI.

Subject terms: Drug discovery, Neuroscience, Health care, Neurology, Risk factors

Introduction

Patients surviving the early stages of traumatic brain injury (TBI) usually have a higher risk of developing disabilities and comorbidities later in life, and TBI has a severe impact on their life span. In this scenario, post-traumatic seizures (PTS) and post-traumatic epilepsy (PTE) are common and debilitating complications of TBI.

In relation to the time-frame of their occurrence, PTS are classified as “early” post-traumatic seizures (EPTS) if they occur within 7 days of the event, and “late” post-traumatic seizures (LPTS) if they occur > 7 days after the event1,2. This cut-off reflects differences in the causal mechanisms and subsequent seizure risk3,4. EPTS, also known as acute symptomatic seizures5, are linked to mechanisms of primary injury that temporarily lower the seizure threshold4. Instead, LPTS are characterized by persistent neurobiological changes attributed to secondary injury with biochemical cascades from epileptogenic mechanisms6,7 conditioning subsequent seizure risk3,4.

Considering the recent clinical redefinition of epilepsy from the International League Against Epilepsy (ILAE)4, the risk of recurrent seizures following a single, unprovoked seizure more than 7 days after TBI is high enough to consider LPTS as an epileptic condition. Therefore, the term LPTS is often used interchangeably with PTE4,8. The overall incidence of PTE in hospitalized patients is about 3–5%9,10, while it represents 10–20% of symptomatic epilepsy in the general population and 5% of all epilepsies6.

Seizures occurring during the acute care phase have a significant impact on the development of additional cerebral damage11. In particular, EPTS appear to increase morbidity and mortality in the early stages following TBI12,13 as well as the risk of developing PTE14,15.

Considering all these factors, early convulsive prophylaxis is commonly used after TBI in clinical practice, although with variable success16. For this reason, it has been a topic of research over the last few decades. While there is evidence of the effectiveness of anti-seizure medications (ASMs) in preventing EPTS, there is no proven benefit of ASM for LPTS and PTE1719. In fact, the recent Brain Trauma Foundation Guidelines20 recommended the use of prophylactic therapy to decrease the incidence of EPTS within 7 days after severe TBI. Historically, phenytoin has been the ASM of choice as prophylactic therapy, but its complications have led to increasing use of levetiracetam as a substitute21. Even on this aspect, there is no clear evidence in the literature22. These inconsistencies could in part be due to the fact that previous epidemiological investigations on PTS were based on heterogeneous populations involving both adults and children3,10,23 and on large-scale multicentre databases where pre-existing epilepsy or previous neurologic injury were not excluded15,24,25.

To address these limitations, we selected only adult patients referred to our neurorehabilitation unit, excluding those with previous neurological conditions such as epilepsy. An advantage of the rehabilitative over the acute setting in assessing patients is the possibility of a more accurate evaluation thanks to the prolonged length of stay of patients. Therefore, in this study, we retrospectively analysed the clinical data of adult patients with TBI from the acute care phase and throughout the subsequent 6 months of inpatient rehabilitation. We focused our analysis within a 6-month period from injury since this period is crucial for the expression of neuroplasticity26. The primary aim of the study was to evaluate the impact of PTS and related antiepileptic drugs on neurological and functional outcomes after inpatient rehabilitation of post-TBI patients. The results of this analysis should give support to clinical decision-making regarding use of prophylactic anticonvulsant therapy in the initial phases after TBI.

Methods

Study design and population

In this observational retrospective study, we included all patients with TBI consecutively admitted to the Neurorehabilitation Unit of ICS Maugeri of Pavia, Italy between January 1, 2009 and December 31, 2018. Collection and analysis of clinical data were performed after approval by the ethics committee of ICS Maugeri (#2214 CE) and in accordance with the ethical standards laid down in the Declaration of Helsinki. Participants, or authorized representatives, signed a written informed consent before admission to neurorehabilitation unit.

The inclusion criteria were the following: (1) age ≥ 18 years; (2) diagnosis of TBI on presentation; (3) admission to a hospital emergency department within 24 h of injury; (4) admission within one month from the injury to the rehabilitation unit to continue clinical care and rehabilitation program; (5) up to 6 months of observation in the rehabilitation setting.

Individuals were excluded from the study if data regarding acute care were not available. We also excluded patients with pre-existing brain injury or other neurological diseases. Furthermore, patients with a history of epilepsy and concurrent use of ASM were not included.

Variables, data sources and measurements

From patients’ hospital electronic records, we collected the following data: age at occurrence of injury, sex, medical history, injury characteristics, fracture site, presence of penetrating TBI, presence of subarachnoid haemorrhage, associated neurosurgical procedures (craniotomy, cranioplasty), neurologic and functional assessments, brain imaging, occurrence of seizures, presence and type of anticonvulsant therapy, death during hospitalization. Seizures were classified according to when they occurred, i.e. during acute care vs. rehabilitation phase. Finally, we collected data from the Glasgow Coma Scale (GCS) and the Functional Independence Measure (FIM) to evaluate, respectively, the neurological and functional outcomes. GCS is used not only to classify the severity of TBI and define its course, but it is also a validated predictor of clinical outcome after TBI2729.

The overall GCS score ranges from 3 to 15; scores 3–8 indicate severe brain injury, 9–12 moderate brain injury, and 13–15 mild brain injury. FIM30 is an 18-item scale designed to measure the patient’s independence in activities of daily living. The severity of disability is evaluated with 13 motor (FIM-M) and 5 cognitive items (FIM-C). In our cohort, the GCS was administrated on arrival at the emergency department (GCS on Arrival; GCSoA). Both GCS and FIM were then administered at admission (T0) and discharge (T1) from the Neurorehabilitation Unit.

We also assessed the TBI characteristics, including type and location of the skull fracture, by radiological imaging. We used the adapted Marshall computed tomographic (CT) classification31 that categorizes injuries into six classes based on: degree of swelling as determined by basal cistern compression and midline shift, and presence and size of focal lesions (i.e. whether the lesion volume exceeds or not 25 cm3).

Anti-seizure medication

Patients in treatment with ASMs were divided into two groups: those who were prescribed ASMs in acute care before the occurrence of seizure (prophylaxis group) vs. those who were prescribed ASMs after the onset of seizures in either the acute or rehabilitation setting (therapy for crisis group).

PTS during acute care and inpatient neurorehabilitation

The presence of seizures during hospitalization was identified via medical records and classified based on time from injury into two classes as previously described7,8: 1–7 days after TBI (early) vs. > 7 days after TBI (late). Physicians examined any paroxysmal clinical event described by patients or eyewitnesses that occurred during hospitalization. Secondly, neurophysiological studies were performed for confirmation.

The documentation of clinical events and the administration of scales during rehabilitation were carried out by the same medical team. Data were collected by the first author and reviewed independently by the second author, with any discrepancies resolved by consensus.

Statistical analysis

Values are expressed as median and interquartile range (IQR) or absolute number and percentage. Data were tested for normality of distribution with the Shapiro–Wilk test and log-transformed when needed in order to correct for skewness. Mann–Whitney and chi-square tests were used for comparisons between groups. Multinomial logistic regression analysis was performed to evaluate associations between presence of epilepsy or use of ASM and anthropometric data, clinical and radiological characteristics of TBI, rehabilitation outcome scores, and mortality. Multiple linear regression analysis was used to evaluate the predictive role of ASM therapy on rehabilitation outcome, adjusted for the presence of seizures. The multilinear models included FIM T1 or ΔFIM as dependent variables and ASM therapy and presence of seizures as independent variables. B coefficients, standard error (SE), β coefficients and significant values obtained from the models were reported.

A value of p < 0.05 was considered as statistically significant. All statistical analyses were performed using SPSS Statistics 21 (IBM Corporation, Somers, NY, USA).

Ethical statement

The study was performed in accordance with the local institutional review board’s approvals.

Consent for publication

All authors have approved the version to be published.

Results

Clinical characteristics of patients with TBI

A total of 2082 adult patients were admitted to our neurorehabilitation unit with a diagnosis of acquired brain injury from January 2009 to December 2018 (Fig. 1). Of these, 1549 patients (74.4%) were excluded because of a non-traumatic aetiology, and an additional 192 patients (9.2%) were excluded because they did not meet the other inclusion criteria. The remaining 341 adult patients with mild-to-severe TBI were enrolled in the study. Their demographic characteristics, post-traumatic clinical features and need for primary neurological and/or other surgery are reported in Table 1. Most patients (57.5%) were under 66 years of age at the time of TBI. The majority were males (78.0%), with a male:female ratio of 3.5:1.

Figure 1.

Figure 1

Consolidated standards of reporting trials (CONSORT)-like flow chart representing patient inclusion up to 6 months after traumatic brain injury (TBI).

Table 1.

Demographic and clinical characteristics of patients with traumatic brain injury (TBI). Data for the whole group and subdivided according to TBI severity (mild, moderate and severe) based on the Glasgow Coma Scale on Arrival (GCSoA).

Variables Whole population (n = 341) TBI classification&
(GCS on Arrival—GCSoA)
Data available for 270 patients
n % Mild (n = 32, 11.9%) Moderate (n = 60, 22.2%) Severe (n = 178, 65.9%) p
n % n % n %
Age (years)
≤ 65 196 57.5 7 21.9 32 53.3 121 68.0 < 0.0001
> 65 145 42.5 25 78.1 28 46.7 57 32.0
Sex
M 266 78.0 22 68.7 52 86.7 140 78.7 0.12
F 75 22.0 10 31.3 8 13.3 38 21.3

Adapted Marshall

CT classification*

Data available for: Whole sample = 336 patients

Diffuse injury I 16 4.8 2 6.2 5 8.4 4 2.3 0.10
Diffuse injury II 97 28.9 3 9.4 16 26.7 49 27.5 0.09
Diffuse injury III (swelling) 54 16.1 8 25.0 8 13.3 28 15.7 0.33
Diffuse injury IV (shift) 69 20.5 9 28.1 17 28.3 34 19.1 0.23
Evacuated lesion 100 29.8 10 31.3 14 23.3 63 35.4 0.22
Non evacuated lesion 0 0.0 0 0.0 0 0.0 0 0.0
Subarachnoid haemorrhage
Yes 135 39.6 11 34.4 26 43.3 75 42.1 0.68
No 206 60.4 21 65.6 34 56.7 103 57.9

Lobar localization §

Data available for:

Whole sample = 273 patients

Mild 30 patients

Moderate 47 patients

Severe 134 patients

Frontal 47 17.2 5 16.7 6 12.8 15 11.2 0.71
Parietal 16 5.9 0 0.0 0 0.0 3 2.3 0.42
Temporal 36 13.2 5 16.7 3 6.4 16 11.9 0.71
Occipital 6 2.2 0 0.0 2 4.2 2 1.5 0.37
Multiple 168 61.5 20 66.6 36 76.6 98 73.1 0.63
Cranial fractures
Yes 170 49.9 14 43.8 29 48.3 100 56.2 0.31
No 171 50.1 18 56.2 31 51.7 78 43.8
Fracture site
Splanchnocranium 39 22.9 3 21.4 4 13.8 26 26.0 0.38
Skull base 12 7.1 3 21.4 3 10.3 5 5.0 0.08
Compound skull fracture 90 52.9 8 57.2 19 65.6 48 48.0 0.23
Depressed skull fracture 27 15.9 0 0.0 3 10.3 19 19.0 0.13
From blunt body 2 1.2 0 0.0 0 0.0 2 2.0 0.65
Craniotomy
Yes 130 38.1 10 31.3 21 35.0 83 46.6 0.12
No 211 61.9 22 68.7 39 65.0 95 53.4
Cranioplasty
Yes 42 12.3 5 15.6 6 10.0 24 13.5 0.70
No 299 87.7 27 84.4 54 90.0 154 86.5
Post traumatic seizures (PTS)
Yes 66 19.4 6 18.8 9 15.0 39 21.9 0.50
No 275 80.6 26 81.2 51 85.0 139 78.1
Early post-traumatic seizure (EPTS)
Yes 24 7.0 1 3.1 4 6.7 13 7.3 0.53
No 317 93.0 31 96.9 56 93.3 165 92.7
Late post-traumatic seizure (LPTS)
Yes 32 9.4 2 6.3 5 8.3 20 11.2 0.67
No 309 90.6 30 93.7 55 91.7 158 88.8
Both seizures
Yes 10 2.9 3 9.4 0 0.0 6 3.4 0.06
No 331 97.1 29 90.6 60 100 172 96.6
Anti-seizure prophylactic therapy
Yes 82 24.0 7 21.9 16 26.7 47 26.4 0.85
No 259 76.0 25 78.1 44 73.3 131 73.6
Crisis therapy for seizures
Yes 50 14.7 5 15.6 8 13.3 27 15.2 0.93
No 291 85.3 27 84.4 52 86.7 151 84.8
Anti-seizure medication
None/not known 211 61.9 20 62.5 36 60.0 106 59.6 0.95
I generation drugs 32 9.4 4 12.5 2 3.3 20 11.2 0.17
II generation drugs 98 28.7 8 25.0 22 36.7 52 29.2 0.43
Mortality within 6 months
Yes 42 12.3 5 15.6 8 13.3 26 14.6 0.95
No 299 87.7 27 84.4 52 86.7 152 85.4

Significant difference are highlighted in bold.

Based on the GCSoA, TBI was mild in 11.9% cases, moderate in 22.2% and severe in 65.9%. As regards the localization of the trauma, most patients (61.5%) presented multiple site lesions, with frontal (17.2%) and temporal lobes (13.2%) being the most involved. As a consequence of the traumatic aetiology, approximately half of the patients (51.2%) presented skull fractures, mostly compound skull fractures. In 39.6% of patients, the presence of subarachnoid haemorrhage was detected. Regarding neurosurgical interventions, 38.1% of patients underwent craniotomy and 12.3% cranioplasty. A significant difference between the three classes of TBI severity was found only for age at diagnosis. In fact, patients with moderate and severe TBI were significantly (p < 0.0001) younger compared to those with mild TBI.

Clinical and therapeutic aspects of TBI patients who experienced seizures

During the observation period from acute care to inpatient rehabilitation, 66 patients (19.4%) had reported or documented seizure activity. EPTS were documented in 24 cases (7.0%), LPTS in 32 cases (9.4%) while 10 patients (3.0%) first presented EPTS and then LPTS, two of them being on antiepileptic prophylactic therapy. The clinical and therapeutic characteristics of patients with seizures are reported in Table 1.

Overall, 132 patients (38.7%) were prescribed ASM. It was prescribed as prophylactic therapy in 82 patients (24.0%), 10 (14.6%) of which subsequently developed seizures (1 EPTS, 9 LPTS and 2 both types). It was prescribed as treatment for crisis in 50 patients (12.2%). Most patients (74.2%) received levetiracetam (II generation ASM). There were no severe drug-related toxic effects during hospitalization and in both groups ASMs were continued for the rest of patients’ stay in the rehabilitation unit. During the 6-month observation period, 42 patients (12.3%) died, but only 6 of them (14.3%) had experienced epilepsy.

Compared to patients without seizures, those who developed seizures were more frequently found to have an evacuated mass lesion according to the adapted Marshall classification (p < 0.01), and a higher prevalence of compound skull fracture (p < 0.05) and they more frequently underwent craniotomy (p < 0.01) and/or cranioplasty (p < 0.05) (Table 2).

Table 2.

Comparison of traumatic brain injury (TBI) patients without vs. with post-traumatic seizures (PTS), and between patients with early PTS (EPTS) vs. late PTS (LPTS) vs. both EPTS + LPTS.

Variables Without PTS (n = 275) With PTS (n = 66) EPTS (n = 24) LPTS (n = 32) Both (EPTS + LPTS)
(n = 10)
n % n % n % n % n %
Age (years)
≤ 65 158 57.5 38 57.6 12 50.0 21 65.6 5 50.0
> 65 117 42.5 28 42.4 12 50.0 11 34.4 5 50.0
Sex
M 216 78.5 50 75.8 18 75.0 26 81.3 6 60.0
F 59 21.5 16 24.2 6 25.0 6 18.7 4 40.0

TBI classification&

(GCS on Arrival)

Data available for:

Without PTS = 216 patients

With PTS = 54 patients

EPTS = 18 patients

LPTS = 27 patients

EPTS + LPTS = 9 patients

Mild 26 12.0 6 11.1 1 5.6 2 7.4 3 33.3
Moderate 51 23.6 9 16.7 4 22.2 5 18.5 0 0.0
Severe 139 64.4 39 72.2 13 72.2 20 74.1 6 66.7

Adapted Marshall

classification*

Data available for:

Without PTS = 272 patients

PTS = 64 patients

LPTS = 30 patients

Diffuse injury I 16 5.9 0 0.0 0 0.0 0 0.0 0 0.0
Diffuse injury II 81 29.8 16 25.0 4 16.7 9 30.0 3 30.0
Diffuse injury III (swelling) 45 16.5 9 14.1 7 29.1 2 6.7e 0 0.0
Diffuse injury IV (shift) 57 21.0 12 18.7 4 16.7 6 20.0 2 20.0
Evacuated mass lesion 73 26.8 27 48.2b 9 37.5 13 43.3 5 50.0
Non evacuated mass lesion 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0
Subarachnoid haemorrhage
Yes 107 38.9 28 42.4 10 41.7 13 40.6 5 50.0
No 168 61.1 38 57.6 14 58.3 19 59.4 5 50.0

Lobar localization§

Data available for:

No PTS = 198 patients

PTS = 49 patients

EPTS = 20 patients

LPTS = 22 patients

EPTS + LPTS = 7 patients

Frontal 28 14.1 9 18.3 4 20.0 2 9.1 3 42.8
Parietal 6 3.0 2 4.1 0 0.0 0 0.0 2 28.6a
Temporal 25 12.6 4 8.2 2 10.0 2 9.1 0 0.0
Occipital 3 1.5 2 4.1 1 5.0 1 4.5 0 0.0
Multiple 136 68.8 32 65.3 13 65.0 17 77.3 2 28.6a
Cranial fractures
Yes 138 50.2 32 48.5 10 41.7 17 53.1 5 50.0
No 137 49.8 34 51.5 14 58.3 15 46.9 5 50.0
Fracture site
Splanchnocranium 33 23.9 6 18.7 0 0.0 5 29.4 1 20.0
Skull base 11 8.0 1 3.2 1 10.0 0 0.0 0 0.0
Compound skull fracture 68 49.3 22 68.7a 9 90.0b 9 52.9e 4 80.0
Depressed skull fracture 25 18.1 2 6.2 0 0.0 2 11.8 0 0.0
From blunt body 1 0.7 1 3.2 0 0.0 1 5.9 0 0.0
Craniotomy
Yes 95 34.5 35 53.0b 12 50.0 17 53.1a 6 60.0
No 180 65.5 31 47.0 12 50.0 15 46.9 4 40.0
Cranioplasty
Yes 29 10.5 13 19.7a 2 8.3 9 28.1b 2 20.0
No 246 89.5 53 80.3 22 91.7 23 71.9 8 80.0
Anti-seizure prophylactic therapy
Yes 72 26.2 10 15.2 1 4.2a 9 28.1e 0 0.0
No 203 73.8 56 84.8 23 95.8 23 71.9 10 100
Therapy for seizures
Yes 0 0.0 50 75.8d 18 75.0d 22 68.8d 10 100d
No 275 100 16 24.2 6 25.0 10 31.2 0 0.0
Anti-seizure medication
None/not known 203 73.8 8 12.1d 7 29.2d 1 3.1d,e 0 0.0
I generation drugs 15 5.5 17 25.8d 3 12.5 12 37.5d 2 20.0
II generation drugs 57 20.7 41 62.1d 14 58.3c 19 59.4d 8 80.0c
Mortality within 6 months
Yes 36 13.1 6 9.1 3 12.5 3 9.3 0 0.0
No 239 86.9 60 90.9 21 87.5 29 906 10 100

Data are expressed as absolute number and percentage. Comparisons between groups were performed with χ2 test.

Significant differences between patients without vs. with epilepsy or between EPTS and LPTS or both (EPTS + LPTS) are expressed as ap < 0.05, bp < 0.01, cp < 0.001, dp < 0.0001.

Significant differences between patients with EPTS vs. LPTS are expressed as ep < 0.05, fp < 0.01.

Significant difference are highlighted in bold.

We analysed patients with epilepsy according to the type of seizure (EPTS or LPTS or both). Compared to LPTS, patients with EPTS had a significantly higher frequency of diffuse injury grade III according to the adapted Marshall classification and of compound skull fracture (p < 0.05). Moreover, EPTS patients had a significantly higher proportion of compound than depressed skull fractures compared to patients without epilepsy (p < 0.01). On the other hand, patients with LPTS had more frequently undergone craniotomy (p < 0.05) and cranioplasty (p < 0.01), and had a lower CGS (p < 0.05) and FIM (p < 0.05) on discharge.

Finally, comparing patients according to TBI severity, despite the small sample size of patients with mild and moderate TBI, the same differences as above were observed in each group of TBI severity (not shown).

Association between clinical aspects of TBI and risk of seizures

A multinomial logistic regression analysis was conducted to evaluate the association between the clinical aspects of TBI and the risk of seizure onset. All association analyses were weighted for age, gender and severity of TBI. Patients who underwent craniotomy or cranioplasty had a higher risk of seizures than those who did not undergo these interventions (OR = 2.12, CI 95% 1.24–3.66, p = 0.007; and OR = 2.07, CI 95% 1.01–4.25, p = 0.047, respectively), in particular a higher risk of LPTS onset (OR = 2.16, CI 95% 2.13–4.15, p = 0.02; and OR = 3.06, CI 95% 1.40–6.68, p = 0.005, respectively).

We did not find any association between the clinical aspects of TBI and EPTS onset (data not shown). Of note, patients who developed EPTS had an increased risk of developing LPTS (OR = 3.90, CI 95% 1.58–9.63, p = 0.003). Patients treated with ASM had a significantly lower risk of EPTS onset (OR = 0.10, CI 95% 0.01–0.76, p = 0.03). But they did not show a significantly lower risk of developing LPTS (OR = 0.69, CI 95% 0.28–1.65, p = 0.40) or any PTS (OR = 0.50, CI 95% 0.24–1.15, p = 0.12).

Neurological and rehabilitation outcome

At multinomial logistic regression analysis, the presence of seizures was associated with a worse score on GCS (p < 0.05) and FIM (p < 0.01) at the end of inpatient rehabilitation (Table 3).

Table 3.

Association between presence of post-traumatic seizures (PTS) and neurological or rehabilitation outcome, respectively measured with the Glasgow Coma Scale (GCS) and the Functional Independence Measure (FIM) at 6 months from traumatic brain injury. Odds ratios (OR) are given for the overall group of patients with PTS and for patients subdivided according to early (EPTS) vs. late PTS (LPTS).

Covariates PTS
(no = 0, yes = 1)
Early-PTS
(no = 0; yes = 1)
Late-PTS
(no = 0; yes = 1)
OR CI 95% p OR CI 95% p OR CI 95% p
GCS T0 0.88 0.62–1.26 0.50 1.16 0.72–1.86 0.55 0.61 0.39–0.93 0.02
GCS T1 0.69 0.49–0.97 0.03 1.14 0.70–1.85 0.59 0.49 0.33–0.73  < 0.0001
ΔGCS 0.82 0.60–1.12 0.21 0.96 0.65–1.42 0.86 0.80 0.55–1.18 0.26
FIM T0 0.99 0.98–1.00 0.22 0.99 0.97–1.01 0.26 0.99 0.98–1.01 0.23
FIM T1 0.99 0.98–0.99 0.007 0.99 0.97–1.00 0.06 0.99 0.98–0.99 0.019
ΔFIM 0.98 0.97–0.99 0.003 0.99 0.97–1.00 0.06 0.98 0.97–0.99 0.016

T0 on admission to neurorehabilitation, T1 at discharge.

Significant difference are highlighted in bold.

Patients with LPTS had a significantly higher risk of worse neurological (p < 0.0001) and functional (p < 0.05) outcomes than those with EPTS, in whom this risk did not reach statistical significance.

Further analyses were conducted to compare neurological/rehabilitation outcome parameters between patients according to the use or not of ASMs. As shown in Table 4, patients treated with ASMs had a worse neurological outcome than those not treated.

Table 4.

Neurological/rehabilitation outcome measured with the Glasgow Coma Scale (GCS) and the Functional Independence Measure (FIM) in patients according to the use or not of ASMs.

Variables Patients treated with ASMs Patients not treated p-value
Median (IQR) Median (IQR)
GCS T0 10 (8–12) 11 (9–13) 0.07
GCS T1 13 (11–15) 14 (12–15) 0.12
ΔGCS 2 (0–4) 1 (0–3) 0.10
FIM T0 18 (18–26) 26 (18–67) 0.001
FIM T1 23 (18–79) 90 (20–119) < 0.0001
ΔFIM 18 (0–36) 31 (0–60) < 0.0001

T0 on admission to neurorehabilitation, T1 at discharge.

Data are expressed as median and interquartile range. Comparison between groups was performed using Mann–Whitney test. Significant differences are shown in bold.

To further explore the relationship between the use of ASM and outcome, multinomial logistic regression analyses were conducted (Table 5).

Table 5.

Odds ratios (ORs) for the association between the use of anti-epileptic drugs and neurological/rehabilitation outcome measured with the Glasgow Coma Scale (GCS) and the Functional Independence Measure (FIM).

Covariates Prophylactic therapy (no = 0; yes = 1) Therapy for seizures (no = 0; yes = 1) Type of medication (I generation = 0;
II generation = 1)
Not PTS PTS
OR CI 95% p OR CI 95% p OR CI 95% p OR CI 95% p
GCS T0 0.51 0.35–0.73 0.0001 1.05 0.43–2.56 0.92 0.79 0.54–1.17 0.25 1.01 0.59–1.72 0.97
GCS T1 0.64 0.45–0.92 0.02 1.64 0.63–4.25 0.31 0.78 0.45–1.00 0.07 0.83 0.52–1.34 0.45
ΔGCS 1.13 0.85–1.50 0.40 1.35 0.69–2.64 0.38 0.84 0.60–1.20 0.34 0.86 0.54–1.34 0.51
FIM T0 0.98 0.97–0.99 0.004 1.01 0.99–1.04 0.21 0.99 0.97–1.00 0.06 0.99 0.97–1.00 0.08
FIM T1 0.99 0.98–0.99 0.001 1.01 0.99–1.03 0.34 0.99 0.98–0.99 0.003 0.99 0.98–1.01 0.41
ΔFIM 0.99 0.98–1.00 0.04 0.98 0.95–1.02 0.31 0.99 0.97–0.99 0.02 1.00 0.99–1.02 0.83

T0 on admission to neurorehabilitation, T1 at discharge.

Significant difference are highlighted in bold.

Concerning the use of prophylactic therapy, we grouped patients according to onset or absence of seizures during anticonvulsant treatment, with the aim to evaluate whether the association with worse rehabilitation outcome was linked only to the presence of seizures or also to the effect of ASM. Our results showed that the use of ASM, either as a prophylactic or for crisis therapy, regardless of the onset of epilepsy during treatment, was associated with a significantly worse FIM (Table 5). Multiple linear regression analysis (adjusting for the presence of seizures) confirmed that both ASM use and PTS independently predicted rehabilitation outcomes (FIMT1 and ΔFIM) and that the association between FIM and ASM was independent of the presence of PTS (Tables 6 and 7).

Table 6.

Multiple linear regression analysis showing independent predictors for FIM at discharge (T1).

Model dependent variable: FIM T1 Unstandardized coefficients Standardized coefficients t p-value
B SE Beta
Constant 63.79 4.32 14.76 < 0.0001
Prophylactic therapy (no = 0; yes = 1) − 19.95 7.56 − 0.19 − 2.64 0.009
PTS (no = 0; yes = 1) − 21.52 8.52 − 0.18 − 2.53 0.012

FIM functional independence measure, PTS post-traumatic seizures, T1 at discharge.

Table 7.

Multiple linear regression analysis showing independent predictors for ΔFIM.

Model dependent variable: ΔFIM Unstandardized coefficients Standardized coefficients t p-value
B SE Beta
Constant 29.44 3.27 9.00 < 0.0001
Prophylactic therapy (no = 0; yes = 1) − 11.81 5.70 − 0.15 − 2.07 0.04
PTS (no = 0; yes = 1) − 17.50 6.36 − 0.20 − 2.75 0.007

FIM functional independence measure, PTS post-traumatic seizures, T1 at discharge.

We did not find any association between the type of medication used (I or II generation) and neurological or rehabilitative outcome. The same associations between the use of ASM and outcome were found when patients were subdivided according to TBI severity based on the GCSoA (data not shown).

Mortality

Mortality at 6 months from TBI was documented in 42 patients (12.3%) (Table 1). There was no significant difference in prevalence of mortality between the three classes of TBI severity. Lower FIM and GCS scores on admission were associated with higher risk of mortality at 6 months from TBI (OR = 0.94, CI 95% 0.90–0.98, p < 0.01; and OR = 0.39, CI 95% 0.25–0.61, p < 0.0001, respectively). Moreover, mortality was higher in patients > 65 years of age (OR = 8.6, CI 95% 3.71–19.92, p < 0.0001) and in patients who had an evacuated mass lesion on the adapted Marshall Classification (OR = 5.1, CI 95% 1.69–15.56, p < 0.01). We did not find a significant association between mortality and the presence of epilepsy or the use of ASM (data not shown).

Discussion

Incidence and risk factors of PTS

In this study, we evaluated the impact of PTS and relative antiepileptic therapy on neurological and functional outcomes in a large sample of adult patients undergoing rehabilitation after mild to severe TBI and followed for up to 6 months after injury. The incidence of EPTS and LPTS we observed was higher than that found in an earlier study of 199810, but in line with another more recent population-based study15 which had a similar patient profile in terms of TBI severity. The difference in frequency of overall PTS with the earlier study could be explained by the fact that nowadays more patients with moderate-severe TBI survive after severe brain injury. The increasing use of electroencephalography monitoring during acute care also enables clinicians to detect more precisely any type of seizure, thus increasing the diagnostic sensitivity.

Risk factors for PTS have been widely described in the literature15,32,33. In our cohort, the overall risk of PTS was strongly associated with injury characteristics (evacuated mass lesion, compound skull fracture) and neurosurgical procedures (craniotomy and cranioplasty). In particular, patients with a grade III Marshall Classification and compound skull fractures had a higher rate of EPTS, while craniotomy and cranioplasty procedures were significantly associated with LPTS.

Analyzing the associations between clinical aspects of TBI and PTS risk, we found a strong correlation between LPTS and neurosurgery procedures, consistent with the existing literature3,14,15,24,34,35. In line with our findings, a recent study conducted in a paediatric population demonstrated an effect of neurosurgery procedures on seizure risk within the first 6 months after trauma36. Instead, no association was found between the clinical variables and EPTS, although patients who had EPTS had an increased risk of developing LPTS, presumably due to the primary mechanical injury characteristics. We found no age- or sex-related difference regarding the risk of developing PTS at 6 months. Similarly to Rittel et al.15, no correlation between PTS and TBI severity was detected. It is important to underline that our study did not include individuals who were not hospitalized after trauma, possibly limiting the sensitivity of detecting PTS. Finally, in our study, risk of mortality was significantly associated to lower FIM and GCS scores at admission, without any correlation with PTS at 6 months after the event.

Neurological and functional outcomes related to seizures

In terms of recovery after inpatient rehabilitation, only LPTS and use of ASM were significantly related to worse neurological and rehabilitative outcomes, whereas EPTS did not negatively affect the outcome. These findings are consistent with a previous study that demonstrated no difference in neurological recovery at 6 months between patients with or without EPTS23. In our cohort, the occurrence of LPTS was not related to the severity of TBI measured with the GCS on arrival in the emergency department. However, LPTS negatively influenced neurological and functional outcomes at 6 months from trauma, when neuroplasticity is at its highest26. To date a large number of studies have demonstrated that after TBI the primary injury is followed by a cascade of metabolic, biochemical and inflammatory changes3638. These events trigger secondary brain injury resulting in delayed neuronal loss and abnormal neuronal excitability that influence the long-term TBI complications, such as epilepsy36,39,40. This pathological process can also impair the regenerative process after brain injury11, influencing neurological and functional outcome.

Seizures and post-traumatic epilepsy in relation to ASM use

The 2016 guidelines for the management of severe TBI from the Brain Trauma Foundation and the American Association of Neurological Surgeons20 suggest that patients with severe TBI may be treated with ASM soon after trauma to prevent EPTS in that the overall benefits outweigh the risks associated with treatment. These recommendations are heavily based on research by Temkin et al. (1990)14 who demonstrated a significant reduction in the incidence of EPTS with phenytoin compared to placebo14. In this context, an interesting finding of our study is that, although we confirmed that the prophylactic use of any ASM in the 6 months following TBI actually seems to have a protective effect on EPTS, this therapy does not reduce the risk of LPTS. This finding supports the hypothesis that anticonvulsant prophylaxis does not prevent epileptogenic mechanisms coming into play after TBI41,42. Indeed, these mechanisms that may contribute to PTE are still poorly understood, making treatment with ASM of little effect in preventing PTE11,43.

Recent studies have demonstrated no evidence that early treatment with ASMs reduces the risk of LPTS or mortality, whereas it seems to adversely affect functional outcome in the long term14,19,33,41,4446. Levetiracetam, used for early post-TBI seizure prophylaxis, seems to be associated with a shorter length of hospital stay than phenytoin21.

In our cohort, ASMs seem to prevent EPTS but not LPTS, supporting the hypothesis that EPTS and LPTS may have different causal mechanisms39,40. Indeed, EPTS appear to be directly related to the primary mechanical injury, whereas LPTS are a consequence of the secondary process that begins a few minutes after head injury and can persist for months or years39. Moreover, our data showed that the use of antiepileptic drugs appears to be associated with a worsening of functional outcomes, independently of whether therapy is I or II generation and of the occurrence or not of seizures. No toxicity or serious events related to I and II generation ASMs were reported during the observation period. Indeed, in line with recent reviews, our study confirms the same efficacy and safety for both medications with regards to early and late seizure prophylaxis following TBI22.

In summary, our findings raise a further warning against the generic use of prophylaxis with ASM for PTE in the initial phase after TBI. ASM should indeed be limited to those clinical conditions at high risk of LPTS such as patients who have to undergo neurosurgical procedures or, as recommended by the Brain Trauma Foundation guidelines, they should be limited to 7 days after severe head injury.

Study limitations

This study has several limitations mainly due to its retrospective nature. The dataset we used in this study is claim-based and susceptible to miscoding and missing information. In particular, a major limitation is the fact that different protocols were used for the administration of prophylactic therapy in acute care. In this setting, the ASMs were prescribed at physicians’ discretion, probably in relation to the severity of the case. Indeed, our study could not differentiate the use of ASMs in relation to TBI severity or to a clinical indication. This is an inherent confounding factor that requires prospective studies to better understand the effects of ASMs on rehabilitation outcomes.

Another limitation is the high rate of patients with severe TBI in the cohort. However, comparison analysis was conducted in each group of TBI severity and, despite the low sample size of patients with mild or moderate trauma, the same differences as above were observed in each group. Finally, the observation period was relatively short compared to other studies, but our goal was to verify the implications of seizures and epilepsy during the inpatient rehabilitation process and not beyond.

Conclusions

The occurrence of LPTS during rehabilitation negatively influences patient outcomes, and the use of ASM does not seem effective in preventing them. In contrast, prophylactic ASM is more effective in preventing EPTS and appears to have no impact on neurological and functional outcomes and on the risk of late seizures. This study underlines the need to re-examine the use of prophylactic ASM for the prevention of PTE. Based on this retrospective study, prescription of prophylactic ASM after TBI should be limited to those conditions that show evidence of high risk of LPTS or otherwise used for a few days after severe head injury.

Acknowledgements

The authors thank Dr Davide Bertola for the initial phase of data collection of this paper.

Author contributions

V.P. contributed to the conception and design of the study; acquisition and interpretation of data; drafting of the manuscript. C.M. performed analysis and interpretation of data and contributed to writing the results and the discussion section of the manuscript. All authors contributed to manuscript revision, and read and approved the submitted version.

Funding

This work was partially supported by the “Ricerca Corrente” Funding scheme of the Ministry of Health, Italy.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

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

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