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. 2025 Apr 9;6(1):291–297. doi: 10.1089/neur.2025.0001

Prevalence of Seizures in Hospitalizations with Traumatic Brain Injury: A U.S. Population-Based Study

Alka Mithal 1, Maanek Sehgal 1, Christopher Newey 2, Derek Ems 3, Vince Florio 3, Gurkirpal Singh 1,*
PMCID: PMC12040531  PMID: 40309155

Abstract

In the United States, data on outcomes in adults hospitalized with traumatic brain injury (TBI) and concomitant seizures are limited. Here, we report on a feasibility analysis to understand the prevalence and consequences of concomitant seizures in patients with TBI. A retrospective database study was conducted using the National Inpatient Sample 2016–2020. Hospitalizations in patients (≥18 years of age) with TBI were assessed and stratified into groups either with or without concomitant seizures. All patient data were stratified by age, sex, ethnicity, and payer type. The primary outcome was the prevalence of seizures or epilepsy among hospitalizations for TBI. Other outcome variables recorded were mean charges, length of hospital stay, and case fatality. Overall, 1,591,575 hospitalizations with TBI were assessed over the study period. TBI prevalence remained relatively constant throughout the study period and was higher in men and those aged ≥65 years. Concomitant seizures were observed in 12.2% of all patients and were highest for men, the 45–64 years age group, and Black and Native Americans. Mean charges were significantly higher and length of hospital stay was significantly longer in TBI hospitalizations with seizures compared with those without seizures across all study years. No significant difference in case fatality between patients with seizures compared with those without seizures was observed. Data from this analysis showed differences in demographics and outcomes for TBI hospitalizations with versus without concomitant seizures, highlighting potential disparities in health care for patients experiencing seizures that warrant further research.

Keywords: costs, database analysis, epilepsy, length of stay, national inpatient sample, traumatic brain injury

Introduction

In the United States in 2013, approximately 2.8 million people experienced a traumatic brain injury (TBI).1 TBI is associated with a higher risk of seizures (which includes epilepsy), affecting 2.7% of adults2 and 10% of children,3 following a TBI.

Although it is known that TBI is associated with a higher risk of seizures post-injury, little is known about how the development of seizures in patients with TBI affects outcomes.4–9 Studies have reported increased length of stay for adults hospitalized with TBI and concomitant seizures (early post-traumatic seizures [PTS]10 and post-traumatic epilepsy [PTE]11), as well as higher in-hospital mortality for those with PTE,11 compared with those hospitalized with TBI without concomitant seizures.

Limited data are available on the outcomes of U.S. adults with TBI and concomitant seizures. To address this paucity of data, a feasibility analysis was conducted using a national U.S. hospitalization database to understand the prevalence and consequences of concomitant seizures in adults with TBI.

Methods

A retrospective database analysis was conducted using the National Inpatient Sample (NIS)12 from 2016 to 2020. The NIS is a random and stratified sample of U.S. community hospitals. At the national level, it can generate estimates of utilization, inpatient costs, and outcomes, and provide information on all patients regardless of payer (including Medicare, Medicaid, private insurance, and the uninsured). It uses unweighted data from approximately 7 million hospitalizations per year and, using weighted data, it can estimate around 35 million hospitalizations across the U.S.

To construct the dataset, the NIS was used to retrieve data on all hospitalizations in patients aged ≥18 years with a primary or secondary diagnosis of TBI using the relevant International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes (Supplementary Table S1) between January 1, 2016, and December 31, 2020. These hospitalizations were then analyzed for a concomitant primary or secondary diagnosis of seizures or epilepsy (defined as a hospitalization having ≥1 of the relevant ICD-10-CM codes from Supplementary Table S2). All data were anonymized.

The primary outcome was the prevalence of seizures or epilepsy among hospitalizations for TBI. Other outcome variables recorded were mean hospital charges, length of hospital stay, and case fatality (hospitalizations resulting in death).

Hospitalizations with TBI were classified into two groups according to whether or not there was a recorded diagnosis of seizures or epilepsy during hospitalization. The prevalence of TBI hospitalizations with seizures was calculated as a percentage of the total hospitalized population with TBI for each calendar year. The demographic variables evaluated were described in groups with and without seizures for age, sex, race/ethnicity, payer type, charges (reported as USD for each calendar year), length of stay, and case fatality. National estimates and demographics of patients hospitalized with TBI with and without seizures, standard error of the mean, and 95% confidence limits were calculated using the Statistical Analysis Software program (version 9.4). The Welch t-test was used to compare differences in outcomes among patient hospitalizations with TBI with and without seizures.

Results

There were more than 300,000 hospitalizations each year (2016–2020) with a primary or secondary diagnosis of TBI, with a total of 1,591,575 hospitalizations over the study period. The annual prevalence of TBI hospitalizations remained relatively constant at 124–128 per 100,000 of the U.S. study population from 2016 to 2020 (Table 1). Men had a higher prevalence of TBI hospitalizations than women, and the prevalence of TBI hospitalizations was highest in patients ≥65 years of age for both males and females.

Table 1.

Prevalence of Hospitalizations for Traumatic Brain Injury in the U.S. Population, and Percentage of Seizures or Epilepsy in Traumatic Brain Injury Hospitalizations

  2016 2017 2018 2019 2020
Hospitalizations, n per 100,000 U.S. population
 Overall 124 126 127 128 124
  Males 155 157 157 159 157
   18–44 years 99 95 91 89 93
   45–64 years 130 132 130 132 132
   ≥65 years 353 367 374 379 355
  Females 95 96 97 99 92
   18–44 years 36 35 34 32 33
   45–64 years 56 57 58 58 55
   ≥65 years 278 280 281 286 253
Hospitalizations with diagnoses of interest
 TBI, n 309,755 316,660 320,745 327,125 317,290
 Seizures or Epilepsy in those with TBI, n (%) 36,345 (11.7) 37,310 (11.8) 39,950 (12.5) 41,325 (12.6) 39,680 (12.5)

TBI, traumatic brain injury; U.S., United States.

Of hospitalizations with TBI, 194,610 (12.2%) had a concomitant primary or secondary diagnosis of seizures or epilepsy. There was a slight increase in the proportion of seizures or epilepsy in TBI hospitalizations in 2020 (12.5%) compared with 2016 (11.7%) (Table 1).

The total TBI hospitalizations with and without seizures by study year are summarized in Table 2. From 2016 to 2019, approximately 65% of hospitalizations with TBI and seizures were men, which increased to 66.7% in 2020. The age group with the highest percentage of seizures in TBI hospitalizations was 45–64 years for both men and women, although the percentage was slightly higher in males. Across all years in the study period, patients hospitalized for TBI with seizures had a younger mean age than those hospitalized without seizures. Among racial groups, a higher proportion of the Black and Native American populations had seizures in TBI hospitalizations versus other groups across all study years. Medicare and Medicaid paid for 70.6–71.8% of the TBI hospitalizations with seizures and 61.5–64.6% of the TBI hospitalizations without seizures across the study period.

Table 2.

Demographics, Charges, Length of Stay, and Case Fatality in the U.S. Population Hospitalized with TBI, With and Without Seizures or Epilepsy From 2016 to 2020

Characteristic/Outcome 2016
(N = 309,755)
2017
(N = 316,660)
2018
(N = 320,745)
2019
(N = 327,125)
2020
(N = 317,290)
With seizures/epilepsy Without seizures/epilepsy With seizures/epilepsy Without seizures/epilepsy With seizures/epilepsy Without seizures/epilepsy With seizures/epilepsy Without seizures/epilepsy With seizures/epilepsy Without seizures/epilepsy
Hospitalizations, n (%) 36,345 (11.7) 273,410 (88.3) 37,310 (11.8) 279,350 (88.2) 39,950 (12.5) 280,795 (87.5) 41,325 (12.6) 285,800 (87.4) 39,680 (12.5) 277,610 (87.5)
95% LCL—UCL 34,605–38,085 259,189–287,631 35,457–39,163 265,193–293,507 38,012–41,888 267,053–294,538 39,335–43,315 271,763–299,837 37,815–41,545 263,840–291,379
Age, mean, years 59.0 60.9 58.8 61.8 59.8 62.5 60.0 63.2 59.2 62.3
95% LCL—UCL 58.4–59.5 60.3–61.4 58.3–59.4 61.3–62.3 59.2–60.3 62.0–62.9 59.5–60.5 62.8–63.7 58.7–59.7 61.8–62.8
Sex, n (% of subpopulation per calendar year)
 Male 23,485 (12.5) 165,145 (87.5) 24,270 (12.6) 168,590 (87.4) 26,080 (13.4) 168,345 (86.6) 26,875 (13.6) 171,090 (86.4) 26,465 (13.5) 170,290 (86.5)
  95% LCL—UCL 22,260–24,710 155,938–174,352 22,939–25,601 159,383–177,797 24,716–27,444 159,534–177,156 25,484–28,266 162,095–180,085 25,116–27,814 161,223–179,356
  18–44 years 6540 (11.2) 51,670 (88.8) 6430 (11.5) 49,410 (88.5) 6630 (12.2) 47,500 (87.8) 6705 (12.7) 46,290 (87.3) 7005 (12.7) 48,370 (87.3)
  95% LCL—UCL 6043–7037 47,716–55,624 5919–6941 45,735–53,085 6114–7146 44,010–50,990 6195–7215 42,917–49,663 6467–7543 44,836–51,904
  45–64 years 8620 (16.1) 44,910 (83.9) 9025 (16.6) 45,290 (83.4) 9125 (17.2) 44,020 (82.8) 9395 (17.5) 44,345 (82.5) 9110 (17.1) 44,225 (82.9)
  95% LCL—UCL 8059–9181 42,037–47,783 8402–9648 42,469–48,111 8516–9734 41,397–46,643 8773–10,018 41,656–47,034 8534–9686 41,545–46,905
  ≥65 years 8325 (10.8) 68,565 (89.2) 8815 (10.7) 73,890 (89.3) 10,325 (11.8) 76,825 (88.2) 10,775 (11.8) 80,455 (88.2) 10,350 (11.8) 77,695 (88.2)
  95% LCL—UCL 7792–8858 65,392–71,738 8267–9363 70,492–77,288 9713–10,937 73,394–80,256 10,136–11,414 76,753–84,157 9734–10,966 74,131–81,259
 Female 12,860 (10.6) 108,145 (89.4) 13,030 (10.5) 110,715 (89.5) 13,865 (11.0) 112,405 (89.0) 14,445 (11.2) 114,635 (88.8) 13,215 (11.0) 107,200 (89.0)
  95% LCL—UCL 12,124–13,596 102,832–113,458 12,313–13,747 105,449–115,980 13,096–14,634 107,151–117,659 13,630–15,260 109,271–119,999 12,494–13,936 102,188–112,211
  18–44 years 2275 (11.0) 18,465 (89.0) 2440 (12.1) 17,740 (87.9) 2475 (12.5) 17,350 (87.5) 2485 (13.3) 16,195 (86.7) 2355 (12.3) 16,860 (87.7)
  95% LCL—UCL 2038–2512 16,980–19,950 2201–2679 16,387–19,093 2214–2736 16,028–18,672 2238–2732 14,949–17,441 2108–2602 15,529–18,191
  45–64 years 3640 (15.1) 20,480 (84.9) 3795 (15.4) 20,805 (84.6) 4025 (16.3) 20,690 (83.7) 4155 (16.8) 20,580 (83.2) 3815 (16.4) 19,420 (83.6)
  95% LCL — UCL 3344–3936 19,154–21,806 3480–4110 19,536–22,074 3693–4357 19,440–21,940 3819–4491 19,395–21,765 3501–4129 18,263–20,577
  ≥65 years 6945 (9.1) 69,200 (90.9) 6795 (8.6) 72,170 (91.4) 7365 (9.0) 74,365 (91.0) 7805 (9.1) 77,860 (90.9) 7045 (9.0) 70,920 (91.0)
  95% LCL — UCL 6464–7426 66,070–72,330 6341–7249 68,957–75,383 6894–7836 71,083–77,647 7282–8328 74,365–81,355 6584–7506 67,772–74,068
Race/ethnicity, n (% of subpopulation per calendar year)
 White 24,015 (11.5) 185,575 (88.5) 24,460 (11.4) 189,500 (88.6) 26,355 (12.0) 193,040 (88.0) 27,355 (12.1) 199,150 (87.9) 25,825 (12.0) 188,890 (88.0)
 95% LCL—UCL 22,780–25,250 175,315–195,834 23,201–25,719 179,385–199,615 25,034–27,676 183,111–202,969 26,017–28,693 188,950–209,350 24,552–27,098 179,037–198,743
 Black 4975 (15.8) 26,495 (84.2) 5290 (16.2) 27,355 (83.8) 5535 (16.9) 27,165 (83.1) 6335 (18.8) 27,440 (81.2) 5925 (16.7) 29,660 (83.3)
 95% LCL—UCL 4451–5499 23,714–29,276 4752–5828 24,713–29,997 4978–6092 24,496–29,834 5733–6937 24,833–30,047 5350–6500 26,665–32,655
 Hispanic 3190 (10.3) 27,835 (89.7) 3640 (10.9) 29,885 (89.1) 3975 (11.3) 31,185 (88.7) 3985 (12.0) 29,355 (88.0) 4180 (12.4) 29,505 (87.6)
 95% LCL—UCL 2808–3572 24,641–31,029 3240–4040 26,501–33,269 3484–4466 27,363–35,007 3531–4439 26,334–32,376 3711–4649 26,323–32,687
 Asian/Pacific Islander 785 (8.7) 8260 (91.3) 865 (8.8) 8990 (91.2) 1165 (11.3) 9150 (88.7) 980 (9.4) 9485 (90.6) 850 (9.0) 8495 (91.0)
 95% LCL—UCL 633–937 7116–9404 700–1030 7702–10,278 981–1349 7920–10,380 806–1154 8158–10,812 674–1026 7300–9690
 Native American 460 (18.7) 1995 (81.3) 425 (18.6) 1860 (81.4) 475 (18.4) 2100 (81.6) 470 (17.4) 2235 (82.6) 530 (17.5) 2500 (82.5)
 95% LCL—UCL 289–631 1429–2561 295–555 1367–2353 316–634 1495–2705 307–633 1502–2968 355–705 1768–3232
 Other 1000 (10.9) 8205 (89.1) 1170 (11.4) 9110 (88.6) 1220 (11.5) 9385 (88.5) 1180 (10.8) 9715 (89.2) 1205 (11.2) 9550 (88.8)
 95% LCL—UCL 805–1195 6502–9908 957–1383 7542–10,678 1012–1428 8147–10,623 979–1381 8488–10,942 991–1419 8343–10,757
Insurance payer, n
 Medicare 18,575 131,070 18,845 138,640 20,625 142,770 21,555 148,775 20,040 139,060
 95% LCL—UCL 17,622–19,528 125,309–136,831 17,858–19,832 132,627–144,653 19,588–21,662 136,634–148,906 20,463–22,647 142,162–155,388 19,052–21,028 133,014–145,106
 Medicaid 7225 37,045 7575 37,005 7580 35,945 8135 35,460 8250 40,185
 95% LCL—UCL 6671–7779 33,865–40,225 7003–8147 33,965–40,045 6989–8171 33,106–38,784 7555–8715 32,635–38,285 7618–8882 37,098–43,272
 Private Insurance 6735 70,900 7225 70,265 7755 67,950 7460 67,655 7410 64,805
 95% LCL—UCL 6227–7243 66,103–75,697 6692–7758 65,718–74,812 7166–8344 63,488–72,412 6896–8024 63,256–72,054 6886–7934 60,443–69,167
 Self-pay 1900 17,350 1905 16,600 2035 17,470 2170 16,760 1865 17,280
 95% LCL—UCL 1644–2156 15,463–19,237 1639–2171 14,775–18,425 1777–2293 15,668–19,272 1887–2453 15,099–18,421 1641–2089 15,480–19,080
 No charge 140 1175 175 1155 165 1365 155 1320 175 1210
 95% LCL—UCL 82–198 812–1538 100–250 762–1548 100–230 969–1761 91–219 910–1730 108–242 889–1531
 Other 1725 15,270 1450 14,700 1745 14,670 1795 15,275 1880 14,420
 95% LCL—UCL 1473–1977 13,603–16,937 1247–1653 13,304–16,096 1518–1972 13,395–15,945 1553–2037 13,919–16,631 1642–2118 13,099–15,741
Outcomes
 Charges, mean (SEM), U.S. $ 102,664 (2592)** 93,686 (2254) 105,959 (2775)* 97,178 (2171) 112,319 (2699)** 101,965 (2366) 119,373 (3154)** 108,164 (2513) 132,017 (3651) * 120,816 (2835)
 95% LCL—UCL 97,582–107,747 89,266–98,105 100,518–111,399 92,921–101,435 107,027–117,611 97,326–106,603 113,190–125,556 103,237–113,090 124,860–139,175 115,259–126,374
 Length of stay, mean (SEM), days 9.0 (0.2)*** 7.0 (0.1) 8.6 (0.2)*** 6.9 (0.1) 8.8 (0.2)*** 6.9 (0.1) 8.8 (0.2)*** 7.0 (0.1) 9.2 (0.2)*** 7.4 (0.1)
 95% LCL—UCL 8.6–9.3 6.9–7.2 8.3–9.0 6.8–7.1 8.5–9.1 6.8–7.1 8.4–9.1 6.9–7.2 8.9–9.6 7.2–7.5
 Case fatality, mean (SEM), % 6.9 (0.3) 6.8 (0.1) 7.1 (0.3) 6.8 (0.1) 7.2 (0.3) 6.9 (0.1) 6.5 (0.3) 6.9 (0.1) 7.3 (0.3) 7.3 (0.2)
 95% LCL—UCL 6.3–7.5 6.6–7.1 6.5–7.7 6.6–7.1 6.6–7.7 6.7–7.2 6.0–7.1 6.6–7.2 6.7–7.9 7.0–7.6
*

p < 0.05.

**

p < 0.01.

***

p < 0.0001.

LCL, lower confidence limit; SEM, standard error of the mean; UCL, upper confidence limit; U.S., United States.

Patient outcome data are also shown in Table 2. Mean charges were significantly higher in hospitalizations with TBI with seizures compared with those without seizures across all years in the study period (p < 0.05). Similarly, the length of hospital stay was significantly longer in hospitalizations with TBI with seizures compared with those without seizures (p < 0.0001). However, no statistically significant differences were observed in case fatality between TBI hospitalizations with versus without seizures across all years. Case fatality showed a small general increase between 2016 and 2020, peaking in 2020.

Discussion

This feasibility analysis on data derived from a national U.S. hospitalization database aimed to understand the prevalence and consequences of concomitant seizures in hospitalizations with TBI. Over 1.5 million hospitalizations were analyzed over the study period (2016–2020).

We found a small increase in the proportion of seizures in TBI hospitalizations from 2016 (11.7%) to 2020 (12.5%). This is somewhat higher than that reported for early PTS10 and for PTE in studies that included hospitalized13 and non-hospitalized patients.2,4 However, it should be noted that this study examined all seizures and not just those following a TBI, so it is possible that some patients had pre-existing seizures, which may explain the higher proportions observed. The higher proportion may reflect the increased use of electroencephalograms to monitor brain-injured patients. It may also reflect that injury type has altered over the study period, that patients being hospitalized are more ill, or that the TBI severity level shifted over the study period, with more severe TBI requiring hospitalization occurring in 2020 compared with previous years, although the reasons for a shift such as this remain unclear. The findings in our analysis align with a study that identified risk factors for developing early PTS in patients with moderate to severe TBI,10 in which patients with PTS versus those without had an increased length of hospital stay and similar in-hospital mortality. This study also demonstrated poorer 2-year outcomes (i.e., development of PTE or death) versus those who did not develop PTS.10

In line with past studies,1,14 the prevalence of hospitalizations with TBI was higher in males and in older patients (≥65 years); the latter is usually attributed to the higher occurrence of falls in this age group. Overall, in our study, approximately 12% of hospitalizations with TBI had concomitant seizures. Interestingly, among racial groups, a higher proportion of the Black and Native American populations had seizures in TBI hospitalizations versus other groups across all study years. Previous evidence suggests that racial/ethnic differences exist in TBI incidence and treatment.15 It would be of interest to explore racial/ethnic differences in outcomes between patients with TBI with and without seizures in a future study, as racial/ethnic disparities in care have previously been noted in TBI rehabilitation outcomes.16

The outcome measures of the length of hospital stay and mean charges were both significantly higher in TBI hospitalizations with seizures compared with TBI hospitalizations without seizures, which may indicate that TBI resulting in seizures are more complex or severe cases. Although no significant difference in case fatality was noted in this study between TBI hospitalizations with and without seizures, future work in this area may benefit from the consideration of longer-term outcome measures, for example, mortality at 1–5 years post-TBI.

Some limitations of the current work are that, as a feasibility study, the data analyzed were limited in scope and provide association rather than causation. It is possible that some patients hospitalized with TBI had a prior epilepsy diagnosis, rather than seizures or epilepsy resulting from the TBI, and it was not possible to differentiate between these two groups in the current analysis. This study counted hospitalizations and, as data were anonymized, a patient could be counted more than once if subsequentially readmitted to the hospital. The data were based on hospitalization records and did not include information on seizure prophylactic use, timing or duration of seizures, or TBI severity or type. Furthermore, as the data involved observations made during hospitalization, patients may have developed seizures or epilepsy post-discharge and so would not be reported here.

Conclusion

In conclusion, this feasibility analysis demonstrated the utility of the NIS database for providing robust data on seizure prevalence in hospitalizations with TBI. Here we have observed that hospitalizations with TBI with concomitant seizures experience longer stays in the hospital and higher charges compared with those without seizures. As expected, TBI prevalence was higher in males and older adults. However, an interesting finding of this study was that a higher proportion of the Black and Native American populations had seizures in TBI hospitalizations versus other groups, possibly suggestive of racial disparities in health care that warrant further investigation. Points of interest to cover in future analyses could include a more detailed analysis of seizure/epilepsy characteristics, further stratification of TBI severity and type, the inclusion of a control group, and antiseizure medication prescription at discharge.

Acknowledgments

The authors acknowledge Bobby Jacob, PharmD, MPH (UCB, Smyrna, GA, USA), for managing the development of the article and Jonny Turner, PhD (Evidence Scientific Solutions, Ltd., Horsham, UK), and Lynne Isbell, PhD, CMPP (Evidence Scientific Solutions, Inc., Philadelphia, PA, USA), for writing assistance, which was funded by UCB.

Abbreviations Used

ICD-10-CM

International Classification of Diseases, Tenth Revision, Clinical Modification

LCL

lower confidence limit

NIS

National Inpatient Sample

PTE

post-traumatic epilepsy

PTS

post-traumatic seizures

SEM

standard error of the mean

TBI

traumatic brain injury

UCL

upper confidence limit

US

United States

USD

United States dollar

Data Availability Statement

The data from non-clinical studies are outside of UCB’s data sharing policy and are unavailable for sharing.

Ethics Publication Statement

We confirm that we have read the Journal’s position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.

Transparency, Rigor, and Reproducibility Summary

This study was not formally registered because it was conducted as part of a feasibility analysis. The analysis plan was not formally pre-registered. National estimates and demographics of hospitalizations with TBI with and without epilepsy, standard errors, and 95% confidence limits were calculated using the Statistical Analysis Software program. The Welch t-test was used to compare differences in hospitalizations in TBI with epilepsy and in TBI without epilepsy. Overall, 1,591,575 hospitalizations with TBI were assessed over the study period. All data were de-identified. Data were collected using the National Inpatient Sample database to cover the period 2016–2020. Equipment and software used to perform acquisition and analysis including the National Inpatient Sample database are available from the Health Care Costs and Utilization Project (Rockville, MD) and SAS (Cary, NC). The key inclusion criteria are established standards in the field. Confidence intervals have been reported in the main table for all outcomes. No replication or external validation studies have been performed or are planned/ongoing at this time to our knowledge. Data from non-clinical studies are outside of UCB’s data sharing policy and are unavailable for sharing. There is no analytic code associated with this study. The authors agree or have agreed to publish the article using the Mary Ann Liebert Inc. “Open Access” option under the appropriate license.

Authors’ Contributions

A.M.: Conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, software, supervision, validation, visualization, writing—original draft preparation, writing—review and editing. M.S.: Conceptualization, data curation, formal analysis, investigation, methodology, software, validation, visualization, writing—original draft preparation, writing—review and editing. C.N.: Writing—original draft preparation, writing—review and editing. D.E.: Conceptualization, funding acquisition, methodology, project administration, supervision, writing—review and editing. V.F.: Writing—review and editing. G.S.: Conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, supervision, validation, visualization, writing—original draft preparation, writing—review, and editing. All authors contributed to data interpretation and reviewed and approved the final version of the article.

Author Disclosure Statement

C.N. declares no conflicts of interest. A.M., M.S., and G.S. are ICORE employees, whose services were supported by UCB. D.E. and V.F. are salaried employees of UCB and have received UCB stocks from their employment.

Funding Information

This study was funded by UCB. UCB authors were involved in the design of the study and analysis of the data.

Supplementary Table S1
Supplementary Table S2

Cite this article as: Mithal A, Sehgal M, Newey C, et al. Prevalence of seizures in hospitalizations with traumatic brain injury: A U.S. population-based study, Neurotrauma Reports 2025:6 (1): 291–297, doi: 10.1089/neur.2025.0001.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Table S1
Supplementary Table S2

Data Availability Statement

The data from non-clinical studies are outside of UCB’s data sharing policy and are unavailable for sharing.


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