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Figure 1. ÌýDevelopment of the Study Cohort

TBI indicates traumatic brain injury.

Figure 2. ÌýCumulative Incidence Functions for the Outcome of Malignant Brain Cancer Stratified by Traumatic Brain Injury Severity

TBI indicates traumatic brain injury.

Table 1. ÌýList of ICD-9/10 Codes Used to Diagnose Brain Cancer
Table 2. ÌýCharacteristics of the Study Cohort
Table 3. ÌýBivariate and Multivariable Competing Risk Models for the Outcome of Brain Cancer
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Omuro ÌýA, DeAngelis ÌýLM. ÌýGlioblastoma and other malignant gliomas: a clinical review.Ìý Ìý´³´¡²Ñ´¡. 2013;310(17):1842-1850. doi:
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Neglia ÌýJP, Robison ÌýLL, Stovall ÌýM, Ìýet al. ÌýNew primary neoplasms of the central nervous system in survivors of childhood cancer: a report from the Childhood Cancer Survivor Study.Ìý ÌýJ Natl Cancer Inst. 2006;98(21):1528-1537. doi:
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Preston ÌýDL, Ron ÌýE, Yonehara ÌýS, Ìýet al. ÌýTumors of the nervous system and pituitary gland associated with atomic bomb radiation exposure.Ìý ÌýJ Natl Cancer Inst. 2002;94(20):1555-1563. doi:
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Shore ÌýRE, Moseson ÌýM, Harley ÌýN, Pasternack ÌýBS. ÌýTumors and other diseases following childhood x-ray treatment for ringworm of the scalp (Tinea capitis).Ìý ÌýHealth Phys. 2003;85(4):404-408. doi:
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Chen ÌýYH, Keller ÌýJJ, Kang ÌýJH, Lin ÌýHC. ÌýAssociation between traumatic brain injury and the subsequent risk of brain cancer.Ìý ÌýJ Neurotrauma. 2012;29(7):1328-1333. doi:
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Hochberg ÌýF, Toniolo ÌýP, Cole ÌýP. ÌýHead trauma and seizures as risk factors of glioblastoma.Ìý Ìý±·±ð³Ü°ù´Ç±ô´Ç²µ²â. 1984;34(11):1511-1514. doi:
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Hu ÌýJ, Johnson ÌýKC, Mao ÌýY, Ìýet al. ÌýRisk factors for glioma in adults: a case-control study in northeast China.Ìý ÌýCancer Detect Prev. 1998;22(2):100-108. doi:
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Inskip ÌýPD, Mellemkjaer ÌýL, Gridley ÌýG, Olsen ÌýJH. ÌýIncidence of intracranial tumors following hospitalization for head injuries (Denmark).Ìý ÌýCancer Causes Control. 1998;9(1):109-116. doi:
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Munch ÌýTN, Gørtz ÌýS, Wohlfahrt ÌýJ, Melbye ÌýM. ÌýThe long-term risk of malignant astrocytic tumors after structural brain injury—a nationwide cohort study.Ìý ÌýNeuro Oncol. 2015;17(5):718-724. doi:
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Nygren ÌýC, Adami ÌýJ, Ye ÌýW, Ìýet al. ÌýPrimary brain tumors following traumatic brain injury—a population-based cohort study in Sweden.Ìý ÌýCancer Causes Control. 2001;12(8):733-737. doi:
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Swanson ÌýTM, Isaacson ÌýBM, Cyborski ÌýCM, French ÌýLM, Tsao ÌýJW, Pasquina ÌýPF. ÌýTraumatic brain injury incidence, clinical overview, and policies in the US military health system since 2000.Ìý ÌýPublic Health Rep. 2017;132(2):251-259. doi:
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Stewart ÌýIJ, Amuan ÌýME, Wang ÌýCP, Ìýet al. ÌýAssociation between traumatic brain injury and subsequent cardiovascular disease among post-9/11-era veterans.Ìý Ìý´³´¡²Ñ´¡ Neurol. 2022;79(11):1122-1129. doi:
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Barnes ÌýDE, Byers ÌýAL, Gardner ÌýRC, Seal ÌýKH, Boscardin ÌýWJ, Yaffe ÌýK. ÌýAssociation of mild traumatic brain injury with and without loss of consciousness with dementia in US military veterans.Ìý Ìý´³´¡²Ñ´¡ Neurol. 2018;75(9):1055-1061. doi:
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Pugh ÌýMJ, Orman ÌýJA, Jaramillo ÌýCA, Ìýet al. ÌýThe prevalence of epilepsy and association with traumatic brain injury in veterans of the Afghanistan and Iraq wars.Ìý ÌýJ Head Trauma Rehabil. 2015;30(1):29-37. doi:
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Walker ÌýLE, Watrous ÌýJ, Poltavskiy ÌýE, Ìýet al. ÌýLongitudinal mental health outcomes of combat-injured service members.Ìý ÌýBrain Behav. 2021;11(5):e02088. doi:
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O’Neil ÌýME, Carlson ÌýK, Storzbach ÌýD, Ìýet al. Definition of mTBI from the VA/DOD clinical practice guideline for management of concussion/mild traumatic brain injury (2009). 2013. Accessed December 15, 2021.
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Armed Forces Health Surveillance Branch. Traumatic brain injury (TBI). Accessed August 16, 2014.
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Kennedy ÌýE, Panahi ÌýS, Stewart ÌýIJ, Ìýet al. ÌýTraumatic brain injury and early onset dementia in post 9-11 veterans.Ìý ÌýBrain Inj. 2022;36(5):620-627. doi:
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Views 9,037
Original Investigation
Neurology
¹ó±ð²ú°ù³Ü²¹°ù²âÌý15, 2024

Traumatic Brain Injury and Subsequent Risk of Brain Cancer in US Veterans of the Iraq and Afghanistan Wars

Author Affiliations
  • 1Department of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
  • 2Military Cardiovascular Outcomes Research Program, Uniformed Services University of Health Sciences, Bethesda, Maryland
  • 3Miltary & Health Research Foundation, Laurel, Maryland
  • 4Department of Public Health, University of Texas, San Antonio
  • 5Department of Medicine, Duke University, Durham, North Carolina
  • 6Informatics, Decision-Enhancement, and Analytic Sciences Center of Innovation, VA Salt Lake City Health Care System, Salt Lake City, Utah
  • 7Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
  • 8The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, Maryland
JAMA Netw Open. 2024;7(2):e2354588. doi:10.1001/jamanetworkopen.2023.54588
Key Points

QuestionÌý Is traumatic brain injury (TBI) associated with the subsequent risk of brain cancer in Iraq and Afghanistan veterans?

FindingsÌý In this cohort study of more than 1.9 million veterans, moderate or severe and penetrating TBI were associated with the subsequent development of brain cancer. However, mild TBI was not associated with later brain cancer diagnoses.

MeaningÌý The findings of this study suggest that moderate/severe and penetrating TBI are potentially novel risk factors for brain cancer in veterans.

Abstract

ImportanceÌý While brain cancer is rare, it has a very poor prognosis and few established risk factors. To date, epidemiologic work examining the potential association of traumatic brain injury (TBI) with the subsequent risk of brain cancer is conflicting. Further data may be useful.

ObjectiveÌý To examine whether a history of TBI exposure is associated with the subsequent development of brain cancer.

Design, Setting, and ParticipantsÌý A retrospective cohort study was conducted from October 1, 2004, to September 20, 2019, and data analysis was performed between January 1 and June 26, 2023. The median follow-up for the cohort was 7.2 (IQR, 4.1-10.1) years. Veterans Affairs (VA) and Department of Defense (DoD) administrative data on 1 919 740 veterans from the Long-Term Impact of Military-Relevant Brain Injury Consortium–Chronic Effects of Neurotrauma Consortium were included.

ExposureÌý The main exposure of interest was TBI severity (categorized as mild, moderate or severe [moderate/severe], and penetrating).

Main Outcomes and MeasuresÌý The outcome of interest was the development of brain cancer based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnostic codes in either the DoD/VA medical records or from the National Death Index.

ResultsÌý After 611 107 exclusions (predominately for no encounter during the study period), a cohort including 1 919 740 veterans was included, most of whom were male (80.25%) and non-Hispanic White (63.11%). Median age at index date was 31 (IQR, 25-42) years. The cohort included 449 880 individuals with TBI (mild, 385 848; moderate/severe, 46 859; and penetrating, 17 173). Brain cancer occurred in 318 individuals without TBI (0.02%), 80 with mild TBI (0.02%), 17 with moderate/severe TBI (0.04%), and 10 or fewer with penetrating TBI (≤0.06%). After adjustment, moderate/severe TBI (adjusted hazard ratio [AHR], 1.90; 95% CI, 1.16-3.12) and penetrating TBI (AHR, 3.33; 95% CI, 1.71-6.49), but not mild TBI (AHR, 1.14; 95% CI, 0.88-1.47), were associated with the subsequent development of brain cancer.

Conclusions and RelevanceÌý In this cohort study of veterans of the Iraq and Afghanistan wars, moderate/severe TBI and penetrating TBI, but not mild TBI, were associated with the subsequent development of brain cancer.

Introduction

Primary brain cancer is a relatively rare diagnosis, occurring in 7.02 per 100 000 persons in the US, and prognosis is poor with a 5-year survival of 35.7%.1 The most common brain cancer is glioblastoma, which is responsible for 50.1% of cases.1 Given the low incidence of this form of cancer, there is limited evidence regarding potential risk factors. The risk of brain cancer has been noted to be higher in males, increase with age, and differ based on race and ethnicity.1 A variety of genetic syndromes, such as Li-Fraumeni, neurofibromatosis, and tuberous sclerosis, have also been associated with brain cancers.2

Very little is known about the association between exposures and subsequent brain cancer risk, with the exception of ionizing radiation, which has been established to increase risk.3-5 One proposed exposure that might increase the risk of brain cancers is traumatic brain injury (TBI). However, the current body of evidence with respect to TBI and subsequent brain cancer is conflicting. Some studies have suggested that brain cancer is associated with prior TBI,6-9 while other studies have not observed such an association.10-13

A history of TBI is common in post-9/11 era veterans, with 20% who served in Iraq and Afghanistan experiencing a TBI in the course of their service.14 Furthermore, TBI has been associated with poor long-term outcomes in the veteran population, including cardiovascular disease,15 dementia,16 epilepsy,17 and poor mental health outcomes.18 However, to our knowledge, the potential association between TBI and brain cancer has not been examined in a veteran cohort. Therefore, we sought to examine the potential link between an episode of TBI (stratified by severity) and the subsequent development of brain cancer in a large cohort of post-9/11 era veterans.

Methods

The research protocol was reviewed and approved by the University of Utah Institutional Review Board and was conducted in accordance with all applicable federal regulations. The requirement for informed consent was waived by the institutional review board in accordance with Common Rule 45 CFR §46.116(f). This study included veterans from the Long-Term Impact of Military-Relevant Brain Injury Consortium–Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) Phenotype Study. The LIMBIC-CENC consolidates data from a variety of Department of Veterans Affairs (VA) and Department of Defense (DoD) sources, including the VA/DoD Identity Repository, the VA Corporate Data Warehouse, the DoD and VA Infrastructure for Clinical Intelligence (DaVINCI), the Theatre Data Management Store, the DoD Trauma Registry, the VA comprehensive TBI evaluation, and the National Death Index. The study was conducted from October 1, 2004, to September 20, 2019. Data analysis was performed between January 1 and June 26, 2023. The Strengthening the Reporting of Observational Studies in Epidemiology () reporting guideline was used in reporting this study. To be included, veterans had to have received health care for at least 3 years in the DoD and, for those who entered the VA, 2 years of VA care. Veterans were excluded if they had no encounters within the study period, had an index date outside the study period, had a diagnosis of brain cancer before the index date or outside the study period, died before the index date (non-TBI cohort), or had missing data for a variable of interest. Given earlier work suggesting reverse causality (ie, brain cancer resulting in an accident and TBI with subsequent brain cancer diagnosis),10 individuals who developed brain cancer within 1 year of their TBI were excluded.

The primary variable of interest was TBI severity, categorized as mild, moderate or severe (moderate/severe), or penetrating. Traumatic brain injury was defined by using a hierarchical approach that prioritized data from the Theatre Data Management Store and DoD Trauma Registry (Glasgow Coma Scale score, Abbreviated Injury Severity Score, and International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) (together, ICD-9/10), followed by self-reported loss of consciousness (≤30 minutes, mild; >30 minutes, moderate/severe), alteration of consciousness or posttraumatic amnesia (≥24 hours, mild; >24 hours, moderate/severe19) identified in the VA comprehensive TBI evaluation, followed by ICD-9/10 diagnosis codes using the 2012 Armed Forces Health Surveillance System algorithm.20 The list of ICD-9/10 codes used to diagnose TBI and TBI severity is reported in eTable 1 in Supplement 1.

Other covariates of interest that have been associated with the development of brain cancer (ie, age, sex, and self-reported race and ethnicity) and service-related factors that could serve as surrogates for environmental exposures (ie, service branch, rank, and military component) were obtained from the VA/DoD Identity Repository. Service branch was categorized as Air Force, Army, Marines, Navy/Coast Guard, and Other (Public Health Service, Merchant seaman, and Commissioned Corps of the National Oceanic and Atmospheric Administration). Rank was categorized as officer, warrant officer, and enlisted. Military component was categorized as Active Duty, Reserve, and National Guard.

The primary outcome of interest was brain cancer, which was defined using 2 methods. First, we examined ICD-9/10 codes from DaVINCI (Table 1). Individuals were considered to have the diagnosis if they had either 1 inpatient encounter with an ICD-9/10 code in any diagnostic position or at least 3 outpatient encounters within 90 days in the first or second diagnostic position. Second, we examined causes of death based on ICD-10 codes from the National Death Index (Table 1).

Statistical Analysis

Standard descriptive statistical tests were performed to compare the baseline characteristics of veterans who did vs did not have an episode of TBI. We then used Fine-Gray competing risks models to evaluate the potential risk imparted by TBI on subsequent brain cancer accounting for the risk of death not associated with brain cancer. In addition to univariate analysis, we ran nested multivariable models to adjust for demographic characteristics including age at index date, sex, race and ethnicity, service branch, rank, and component in a nested fashion. These results are reported as subdistribution hazard ratios (HRs) with 95% CIs. For veterans with TBI, the index date used for analysis was defined as the date of a TBI diagnosis. For veterans without TBI, index dates were simulated by drawing from the distribution of true index dates within each age bracket as previously described.21 The primary outcome was brain cancer based on diagnosis codes (obtained from DaVINCI) or death from brain cancer (National Death Index). The competing risk for these models was death not associated with brain cancer. All tests were 2-tailed, and statistical significance was determined at an α level of .05. Statistical analysis was conducted using SAS Enterprise Guide, version 8.2 (SAS Institute).

Results

After the application of our inclusion and exclusion criteria, the total cohort included 1 919 740 veterans, most of whom were male (80.25% vs female [19.75%]) and non-Hispanic White (63.11%). Median age at the index date was 31 (IQR, 25-42) years. The cohort included 385 848 veterans with mild TBI, 46 859 with moderate/severe TBI, and 17 173 with penetrating TBI. The full LIMBIC-CENC cohort consists of 2 530 847 veterans. We excluded 21.4% of the potential population: 537 594 individuals who did not have a health care encounter during the study period, 66 624 of those who had an index date outside the study period, 523 with a brain cancer diagnosis before the index date, 109 with a brain cancer diagnosis outside the study period, 5885 who died before the index date, 216 with missing data for a variable of interest, and 156 with brain cancer diagnosed within 1 year of the index date (Figure 1).

Baseline characteristics comparing veterans with TBI (stratified by severity) with those without TBI are reported in Table 2. Significant differences between the groups were noted for all variables examined. Age at the index date was broadly similar, ranging from a median of 30 years in the mild TBI (IQR, 25-40 years) and moderate/severe TBI (IQR, 25-39 years) groups to 33 (IQR, (26-43) years in the penetrating TBI group. All TBI groups had a higher proportion of males (ranging from 86.67% in the mild TBI group to 88.42% in the penetrating TBI group) compared with the no TBI group (78.24%). White, non-Hispanic was the majority racial and ethnic group, accounting for 63.11% of the individuals, followed by the Black non-Hispanic group, accounting for 17.72% of the veterans. Black, non-Hispanic service members were less likely to have TBI exposure than White, non-Hispanic members. Army and Marine service members were more likely to have TBI exposure. The TBI groups also had higher proportions of enlisted personnel (86.96% [penetrating] to 91.41% [moderate/severe]) compared with the no TBI group (82.97%). As expected, brain cancer was a rare diagnosis, occurring in 0.02% of individuals in the no TBI and mild TBI groups. However, brain cancer was more common in individuals with moderate/severe TBI (0.04%). The absolute number of individuals with penetrating TBI and brain cancer was less than or equal to 10 (≤0.06%; below the minimum reportable cell size per our data-sharing agreements). Specific diagnostic codes for patients with brain cancer are reported in eTable 2 in Supplement 1. The crude incidence rates per 100 000 person-years were 3.06 (95% CI, 2.73-3.41) for no TBI, 2.85 (95% CI, 2.26-3.55) for mild TBI, 4.88 (95% CI, 2.84-7.81) for moderate/severe TBI, and 10.34 (95% CI, 4.73-19.63) for penetrating TBI (P < .001). Follow-up times were similar for no TBI (median, 7.2 years), mild and moderate/severe TBI (median, 7.4 years), but was less for penetrating TBI (median, 3.9 years), with an overall median of 7.2 (IQR, 4.1-10.1) years.

The results from our nested models are reported in Table 3. On bivariate analysis, only penetrating TBI was associated with subsequent brain cancer (HR, 3.37; 95% CI, 1.74-6.53; P < .001). Moderate/severe TBI was not associated with the outcome in the bivariate analysis, but was significant in all of the other models examined, with adjusted HRs [AHRs] ranging from 1.79 to 1.90. Mild TBI was not associated with brain cancer in any of the models. In the fully adjusted model, penetrating TBI (AHR, 3.33; 95% CI, 1.71-6.49; P < .001) and moderate/severe TBI (AHR, 1.90; 95% CI, 1.16-3.12; P = .01), but not mild TBI (AHR, 1.14; 95% CI, 0.88-1.47; P = .31), were associated with subsequent brain cancer. This association is presented in Figure 2, showing a higher incidence among service members with moderate/severe TBI and penetrating TBI exposure compared with service members without TBI. We assessed the proportionality assumption using Schoenfeld residuals, which indicated that, for the TBI exposure variable, the risk of brain cancer increased over time. We chose to report HRs without time interactions as they represent a more conservative estimate of long-term risk of brain cancer in our data. Results of models including time by TBI exposure interaction term are included in eTable 3 in Supplement 1.

Discussion

While brain cancer is an uncommon diagnosis, it is a devastating one, with very few known risk factors. We found that moderate/severe and penetrating TBI, but not mild TBI, were associated with the subsequent development of brain cancer. This finding suggests that, while relatively mild TBI may not increase the risk, more severe TBI may predispose injured veterans to subsequent brain cancer.

While some earlier work has reported an association between TBI and subsequent brain cancer,6-9 the 3 largest epidemiologic studies done to date have not found an association.10-12 The first of these, by Inskip and colleagues,10 examined 228 055 Danish residents who were hospitalized with a head injury and did not observe an association between TBI and glioma. They reported an incidence ratio of 1.15 (95% CI, 0.99-1.32), which likely would have been statistically significant with a larger sample size comparable with ours. In contrast to our work, the results were not stratified by TBI severity. It is likely, however, that most of the individuals had mild TBI, since 71% were classified as concussion. In our study, we did not see an association with mild TBI and subsequent brain cancer. It is therefore possible that the absence of an association seen in the Inskip et al10 study was due to the inclusion of these relatively low-risk patients. The second study, by Munch and colleagues,11 evaluated a large cohort of individuals in Denmark and examined the association between structural brain injury, of which TBI was 1 subtype, and the subsequent diagnosis of stage III/IV astrocytomas. These authors excluded mild TBI. In contrast to our work, however, they did not find an association between TBI and brain cancer after the exclusion of malignant neoplasms diagnosed within 1 year of the TBI. However, they noted a trend toward increased risk from 1 to 4 years after injury with a relative risk of 1.99. In comparison with this work, our study included a larger number of individuals with TBI (449 880 vs 48 194), with a longer follow-up period and a larger number of events. It is therefore possible that the results from the Munch et al11 study represent type II error. Other important differences with the present study include older age (median, 51 years in Munch et al11) and different administrative code definitions for TBI. In the third study, Nygren and colleagues12 examined a large Swedish cohort that included 311 006 individuals with TBI and 161 with an astrocytoma diagnosis. After a mean follow-up of 10.4 years, the authors did not note an increased risk of brain cancer with TBI. While the authors stratified by severity, their definitions were less granular than our definitions. These included concussion, severe head trauma with no neurosurgery, and severe head trauma with neurosurgery. Furthermore, while only the ICD-9 codes can be directly compared with our definition, we included substantially more codes, which likely increased our sensitivity to identify TBI. Taken together, the earlier epidemiologic work is limited by less granular TBI definitions and low event rates, and risk may be diluted by mild TBI, which we observed not to be associated with brain cancer. Therefore, our results implying that only moderate/severe or penetrating TBI is associated with subsequent brain cancer are potentially consistent with this prior body of work and add to our understanding of risk after TBI. However, it is possible that our findings may also be TBI by military exposure interactions, where the risk is higher among TBI with a greater likelihood of blood-brain barrier breech (moderate/severe and penetrating injuries).

A link between TBI and subsequent brain cancer has been recognized as biologically plausible for some time. In 1978, Morantz and Shain22 examined a rat model for neural tumors and found that animals exposed to a cerebral stab wound were more likely to develop gliomas compared with uninjured control animals. Subsequently, a variety of potential mechanisms have been proposed, including alterations in metabolism, inflammation, astrocyte proliferation, and stem cell migration and differentiation.23-25 More recently, Richards and colleagues26 performed single-cell RNA sequencing on glioblastoma stem cells from 26 individuals. They found that these cells mapped to states reminiscent of neural development and the inflammatory wound response. Based on these results, the authors postulated that glioblastoma may arise as a response to injury, such as TBI, in patients with a mutated genomic background.

Strengths and Limitations

Given the rarity of brain cancer diagnoses, the main strength of our study was the large size of the cohort, which was followed up for an extended period of time. However, there are several limitations to the present study. First, we were limited to ICD-9/10 codes and did not have access to pathologic diagnoses. Second, many veterans were excluded from analysis (24.1%). While the predominate reason for exclusion was no health care encounter during the study period, 156 individuals were excluded due to brain cancer diagnosis within a year of the TBI diagnosis. Some TBI diagnoses are identified by screening and clinical history—sometimes years after the injury in the case of VA TBI screening. Thus, our results are likely a conservative estimate. Third, we were not able to control for other potential confounders due to a lack of available data, particularly on potential toxic exposures that might have increased the risk of brain cancer. Fourth, TBIs that were diagnosed and treated outside the DoD and VA health care systems were not captured. Fifth, the results from this predominantly young, male military population may not be generalizable to the US population as a whole. For example, there was an insufficient number of events in female patients to conduct a stratified analysis based on sex.

Conclusions

In this cohort study of post-9/11 era veterans, we found that moderate/severe TBI and penetrating TBI were associated with the subsequent development of brain cancer. While the absolute number of brain cancer diagnoses was small, these diagnoses are associated with profoundly poor outcomes. Given that TBI is a common injury incurred in the course of military service, further research of this rare but devastating condition is needed to better identify those at risk and develop screening protocols.

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Article Information

Accepted for Publication: December 7, 2023.

Published: February 15, 2024. doi:10.1001/jamanetworkopen.2023.54588

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2024 Stewart IJ et al. ÌÇÐÄvlog Open.

Corresponding Author: Ian J. Stewart, MD, Uniformed Services University of Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD 20814 (ian.stewart@usuhs.edu).

Author Contributions: Dr Poltavskiy and Ms Amuan had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Stewart, Poltavskiy, Dore, Walker, Pugh.

Acquisition, analysis, or interpretation of data: Stewart, Howard, Poltavskiy, Amuan, Ocier, Alcover, Pugh.

Drafting of the manuscript: Stewart, Howard, Alcover.

Critical review of the manuscript for important intellectual content: Howard, Poltavskiy, Dore, Amuan, Ocier, Walker, Pugh.

Statistical analysis: Howard, Poltavskiy, Amuan.

Obtained funding: Pugh.

Administrative, technical, or material support: Stewart, Dore, Walker, Alcover, Pugh.

Supervision: Pugh.

Conflict of Interest Disclosures: Dr Stewart reported receiving grants from the Defense Health Agency outside the submitted work. Dr Pugh reported receiving grants from the VA Rehabilitation Research and Development Service and the VA Health Services Research and Development Service during the conduct of the study and grants from Sanofi Pharmaceuticals and the Department of Defense outside the submitted work. No other disclosures were reported.

Funding/Support: This work was supported by the Assistant Secretary of Defense for Health Affairs endorsed by the Department of Defense, through the Psychological Health/Traumatic Brain Injury Research Program Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC) Award/W81XWH-18-PH/TBIRP-LIMBIC under awards No. W81XWH1920067 and W81XWH-13-2-0095, and by the US Department of Veterans Affairs award No. I01 RX003443. Dr Pugh’s effort was also funded by VA Health Services Research and Development Service Award No. IHX002608A and supported in part by the VA HSR&D Informatics, Decision-Enhancement, and Analytic Sciences Center of Innovation (CIN 13-414).

Role of the Funder/Sponsor: The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: The opinions and assertions expressed herein are those of the authors and do not necessarily reflect the official policy or position of the Uniformed Services University, the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, the Department of Veterans Affairs, or the Department of Defense.

Data Sharing Statement: See Supplement 2.

References
1.
Ostrom ÌýQT, Price ÌýM, Neff ÌýC, Ìýet al. ÌýCBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the united States in 2015-2019.Ìý ÌýNeuro Oncol. 2022;24(suppl 5):v1-v95. doi:
2.
Omuro ÌýA, DeAngelis ÌýLM. ÌýGlioblastoma and other malignant gliomas: a clinical review.Ìý Ìý´³´¡²Ñ´¡. 2013;310(17):1842-1850. doi:
3.
Neglia ÌýJP, Robison ÌýLL, Stovall ÌýM, Ìýet al. ÌýNew primary neoplasms of the central nervous system in survivors of childhood cancer: a report from the Childhood Cancer Survivor Study.Ìý ÌýJ Natl Cancer Inst. 2006;98(21):1528-1537. doi:
4.
Preston ÌýDL, Ron ÌýE, Yonehara ÌýS, Ìýet al. ÌýTumors of the nervous system and pituitary gland associated with atomic bomb radiation exposure.Ìý ÌýJ Natl Cancer Inst. 2002;94(20):1555-1563. doi:
5.
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