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.
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.
References
- 1. Taylor CA, Bell JM, Breiding MJ, et al. Traumatic brain injury-related emergency department visits, hospitalizations, and deaths - United States, 2007 and 2013. MMWR Surveill Summ 2017;66(9):1–16; doi: 10.15585/mmwr.ss6609a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Burke J, Gugger J, Ding K, et al. ; TRACK-TBI Investigators . Association of posttraumatic epilepsy with 1-year outcomes after traumatic brain injury. JAMA Netw Open 2021;4(12):e2140191; doi: 10.1001/jamanetworkopen.2021.40191 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Mariajoseph FP, Chen Z, Sekhar P, et al. Incidence and risk factors of posttraumatic epilepsy following pediatric traumatic brain injury: A systematic review and meta-analysis. Epilepsia 2022;63(11):2802–2812; doi: 10.1111/epi.17398 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Annegers JF, Hauser WA, Coan SP, et al. A population-based study of seizures after traumatic brain injuries. N Engl J Med 1998;338(1):20–24; doi: 10.1056/NEJM199801013380104 [DOI] [PubMed] [Google Scholar]
- 5. Chadwick D. Seizures and epilepsy after traumatic brain injury. Lancet 2000;355(9201):334–336; doi: 10.1016/S0140-6736(99)00452-3 [DOI] [PubMed] [Google Scholar]
- 6. DeGrauw X, Thurman D, Xu L, et al. Epidemiology of traumatic brain injury-associated epilepsy and early use of anti-epilepsy drugs: An analysis of insurance claims data, 2004-2014. Epilepsy Res 2018;146:41–49; doi: 10.1016/j.eplepsyres.2018.07.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Mahler B, Carlsson S, Andersson T, et al. Unprovoked seizures after traumatic brain injury: A population-based case-control study. Epilepsia 2015;56(9):1438–1444; doi: 10.1111/epi.13096 [DOI] [PubMed] [Google Scholar]
- 8. Spencer R, Manivannan S, Sharouf F, et al. Risk factors for the development of seizures after cranioplasty in patients that sustained traumatic brain injury: A systematic review. Seizure 2019;69:11–16; doi: 10.1016/j.seizure.2019.03.014 [DOI] [PubMed] [Google Scholar]
- 9. Vespa PM, McArthur DL, Xu Y, et al. Nonconvulsive seizures after traumatic brain injury are associated with hippocampal atrophy. Neurology 2010;75(9):792–798; doi: 10.1212/WNL.0b013e3181f07334 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Laing J, Gabbe B, Chen Z, et al. Risk factors and prognosis of early posttraumatic seizures in moderate to severe traumatic brain injury. JAMA Neurol 2022;79(4):334–341; doi: 10.1001/jamaneurol.2021.5420 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Lin WJ, Harnod T, Lin CL, et al. Mortality risk and risk factors in patients with posttraumatic epilepsy: A population-based cohort study. Int J Environ Res Public Health 2019;16(4); doi: 10.3390/ijerph16040589 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. National Inpatient Sample. Available from: https://hcup-us.ahrq.gov/nisoverview.jsp [Last Accessed; December 03 2024].
- 13. Sødal HF, Nordseth T, Rasmussen AJO, et al. Risk of epilepsy after traumatic brain injury: a nationwide Norwegian matched cohort study. Front Neurol 2024;15:1411692; doi: 10.3389/fneur.2024.1411692 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Langlois JA, Rutland-Brown W, Thomas KE. Traumatic Brain Injury in the United States: Emergency Department Visits, Hospitalizations, and Deaths. National Center for Injury Prevention and Control; Atlanta, GA: 2004. [Google Scholar]
- 15. Brenner EK, Grossner EC, Johnson BN, et al. Race and ethnicity considerations in traumatic brain injury research: Incidence, reporting, and outcome. Brain Inj 2020;34(6):799–808; doi: 10.1080/02699052.2020.1741033 [DOI] [PubMed] [Google Scholar]
- 16. Warren KL, Garcia JJ. Centering race/ethnicity: Differences in traumatic brain injury inpatient rehabilitation outcomes. Pm R 2022;14(12):1430–1438; doi: 10.1002/pmrj.12737 [DOI] [PubMed] [Google Scholar]
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Data Availability Statement
The data from non-clinical studies are outside of UCB’s data sharing policy and are unavailable for sharing.
