The management and rehabilitation of post-acute mild traumatic brain injury.

DESCRIPTION: In June 2021, the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) approved a joint clinical practice guideline for the management and rehabilitation care for those who have symptoms in the post-acute period following mild traumatic brain injury (mTBI). This synopsis describes some of the clinically important recommendations. METHODS: In January 2020, VA and DoD leaders assembled a joint VA/DoD guideline development team of multidisciplinary clinical stakeholders that developed key questions, systematically searched and evaluated the literature, created two 1-page algorithms, and refined 19 recommendations using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The process closely conformed to the National Academy of Medicine's tenets for trustworthy clinical practice guidelines. RECOMMENDATIONS: This synopsis describes clinically important recommendations for the management and rehabilitation of mTBI. Outpatient primary care providers are the target audience for this synopsis and guideline. The current recommendations are an update from the 2016 VA/DoD Clinical Practice Guidelines for the Management of Concussion-Mild Traumatic Brain Injury.

Estimates of Long-Term Disability Among US Service Members With Traumatic Brain Injuries.

BACKGROUND: Traumatic brain injury (TBI) is a significant health issue in the US military. The purpose of this study was to estimate the probability of long-term disability among hospitalized service members (SMs) with TBIs, using the South Carolina Traumatic Brain Injury and Follow-up Registry (SCTBIFR) model developed on civilian hospitalized patients. METHODS: We identified military patients in military or civilian hospitals or theater level 3 to 5 military treatment facilities (MTFs) whose first TBI occurred between October 1, 2013, and September 30, 2015. TBI-related disability at 1-year post-hospital discharge was estimated using regression coefficients from the SCTBIFR. RESULTS: Among the identified 4877 SMs, an estimated 65.6% of SMs with severe TBI, 56.2% with penetrating TBI, 31.4% with moderate TBI, and 12.0% with mild TBI are predicted to develop long-term disability. TBI patients identified at theater level 4 and 5 MTFs had an average long-term disability rate of 56.9% and 61.1%, respectively. In total, we estimate that 25.2% of all SMs hospitalized with TBI will develop long-term disability. CONCLUSION: Applying SCTBIFR long-term probability estimates to US SMs with TBIs provides useful disability estimates to inform providers and health systems on the likelihood that particular subgroups of TBI patients will require continued support and long-term care.

Traumatic Brain Injury Following Military Deployment: Evaluation of Diagnosis and Cause of Injury.

OBJECTIVE: To evaluate the prevalence of delayed traumatic brain injury (TBI) diagnosis and cause of injury that resulted in a TBI diagnosis after military deployment. DESIGN: Medical record notes were reviewed in 2016 from a random sample of 1150 US military service members who had their first-time deployment in 2011 and likely sustained a TBI. Location and cause of the injury were extracted from the progress note for analysis. PARTICIPANTS AND SETTING: Active-duty US military service members who received an International Classification of Diseases, Ninth Revision code for a TBI diagnosis in a military facility. MAIN OUTCOME MEASURES: Presence of TBI, location of injury, cause of injury, and time of diagnosis with respect to deployment. RESULTS: The odds of being diagnosed with a deployment-related TBI were 8 times higher during the first 4 weeks upon return from deployment than the subsequent 32 weeks. The likelihood of diagnosing a deployment-sustained TBI during weeks 5 to 32 was 2 times higher than during 33 to 76 weeks following return from deployment. The proportion of deployment-related TBI diagnoses decreased with time following return from deployment but remained above 40% during weeks 33 to 76. Service branch, gender, race, occupation, and time between TBI diagnosis and return from deployment were significant predictors of deployment-related TBIs. Moving motor vehicle, sports, parachute, and being struck by objects were the top causes of injury in garrison (nondeployed setting), whereas blast produced the majority (66%) of all causes of injuries that resulted in a TBI in the deployed setting. CONCLUSION: The increased incidence rate of a TBI diagnosis following deployment can be attributed to delayed diagnosis of TBI sustained from injuries during deployment. TBIs sustained during deployment can be diagnosed beyond the initial 4 weeks after return from deployment and may continue up to 76 weeks following return from deployment.

Benzodiazepine Prescription Patterns After Mild Traumatic Brain Injury in U.S. Military Service Members.

INTRODUCTION: Clinical practice guidelines (CPGs) and clinical recommendations (CRs) are developed to aide and guide providers in treating a variety of conditions, including traumatic brain injury (TBI). There is little knowledge on the impact that CPGs and CRs have on provider practice. One TBI recommendation that was able to be tracked in medical record codes was the use of benzodiazepines (BZD). Because of potential for misuse, diversion, addiction, cognitive impairment, and brain healing interference, the DoD and Department of Veterans Affairs (VA) jointly discourage prescribing BZD after TBI. As part of an effort to look at translation of CPG guidance into clinical practice, our objective was to examine the issuance of BZD prescriptions, including dose, type, and prescribing provider, prescribing setting, and primary diagnosis at issuance among U.S. service members with mild Traumatic Brian Injury (mTBI). MATERIALS AND METHODS: Using DoD data sourced from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) databases of the Military Health System (MHS) Medical Data Repository (MDR), we identified all U.S. service members with a first lifetime diagnosis of mTBI from October 1, 2015 to September 30, 2016. Data on prescriptions issued to this group during a period of active treatment for a mTBI were obtained from the Pharmacy Detail Transaction Service (PDTS) databases of the MDR and identified BZD prescriptions based on the American Hospital Formulary Service (AHFS) therapeutic classification system. We validated coding assumptions through structured review of the clinical record contained within the Armed Forces Health Longitudinal Technology Application (AHLTA) of 30 randomly selected cohort members. RESULTS: Among U.S. service members, 4.5% filled a BZD prescription while under active medical treatment for a recent mTBI. These service members were more likely female and older when compared to their counterparts not prescribed BZD. Among service members under active treatment for mTBI during the study period, 52.6% (n = 7,935) filled a prescription; of these, 8.5% (n = 676) filled a BZD prescription. Of U.S. service members filing a BZD prescription while undergoing active treatment for an mTBI, 64.6% (n = 437) filled prescriptions for BZD and antidepressants, 54.9% (n = 371) filled prescriptions for both BZD and NSAIDS, and 42.2% (n = 285) concurrently filled prescriptions for BZD and opioids. CONCLUSIONS: This effort to examine the translation of CPG recommendations into practice through evaluation of medical record data indicates that providers are prescribing BZD to patients under active treatment for an acute mTBI. The mTBI CPG recommends that the BZD class of medications be avoided in patients healing from brain injury. However, the team recognizes there are confounding factors that may impact the medications that are prescribed for patients with mTBI. Additional work to understand how CPGs and CRs are received and utilized by providers may elucidate opportunities to close the gap between clinical practice guidance and clinical practice.

Prevalence of Comorbidities in Active and Reserve Service Members Pre and Post Traumatic Brain Injury, 2017-2019.

OBJECTIVE: To understand the prevalence of comorbidities associated with traumatic brain injury (TBI) patients among active and reserve service members in the U.S. Military. METHODS: Active and reserve SMs diagnosed with an incident TBI from January 2017 to October 2019 were selected. Nineteen comorbidities associated with TBI as identified in the literature and by clinical subject matter experts were described in this article. Each patient's medical encounters were evaluated from 6 months before to 2 years following the initial TBI diagnoses date in the Military Data Repository, if data were available. Time-to-event analyses were conducted to assess the cumulative prevalence over time of each comorbidity to the incident TBI diagnosis. RESULTS: We identified 47,299 TBI patients, of which most were mild (88.8%), followed by moderate (10.5%), severe (0.5%), and of penetrating (0.2%) TBI severity. Two years from the initial TBI diagnoses, the top five comorbidities within our cohort were cognitive disorders (51.9%), sleep disorders (45.0%), post-traumatic stress disorder (PTSD; 36.0%), emotional disorders (22.7%), and anxiety disorders (22.6%) across severity groups. Cognitive, sleep, PTSD, and emotional disorders were the top comorbidities seen within each TBI severity group. Comorbidities increased pre-TBI to post-TBI; the more severe the TBI, the greater the prevalence of associated comorbidities. CONCLUSION: A large proportion of our TBI patients are afflicted with comorbidities, particularly post-TBI, indicating many have a complex profile. The military health system should continue tracking comorbidities associated with TBI within the U.S. Military and devise clinical practices that acknowledge the complexity of the TBI patient.

Trends in Traumatic Brain Injury Among U.S. Service Members Deployed in Iraq and Afghanistan, 2002-2016.

INTRODUCTION: Traumatic brain injury (TBI) is a major health issue for service members deployed and is more common in recent conflicts; however, a thorough understanding of risk factors and trends is not well described. This study aims to characterize the epidemiology of TBI in U.S. service members and the potential impacts of changes in policy, care, equipment, and tactics over the 15 years studied. METHODS: Retrospective analysis of U.S. Department of Defense Trauma Registry data (2002-2016) was performed on service members treated for TBI at Role 3 medical treatment facilities in Iraq and Afghanistan. Risk factors and trends in TBI were examined in 2021 using Joinpoint regression and logistic regression. RESULTS: Nearly one third of 29,735 injured service members (32.4%) reaching Role 3 medical treatment facilities had TBI. The majority sustained mild (75.8%), followed by moderate (11.6%) and severe (10.6%) TBI. TBI proportion was higher in males than in females (32.6% vs 25.3%; p<0.001), in Afghanistan than in Iraq (43.8% vs 25.5%; p<0.001), and in battle than in nonbattle (38.6% vs 21.9%; p<0.001). Patients with moderate or severe TBI were more likely to have polytrauma (p<0.001). TBI proportion increased over time, primarily in mild TBI (p=0.02), slightly in moderate TBI (p=0.04), and most rapidly between 2005 and 2011, with a 2.48% annual increase. CONCLUSIONS: One third of injured service members at Role 3 medical treatment facilities experienced TBI. Findings suggest that additional preventive measures may decrease TBI frequency and severity. Clinical guidelines for field management of mild TBI may reduce the burden on evacuation and hospital systems. Additional capabilities may be needed for military field hospitals.

Clusters of conditions among US service members diagnosed with mild TBI from 2017 through 2019.

Background: Many US Military Service Members (SMs) newly diagnosed with mild Traumatic Brain Injury (mTBI) may exhibit a range of symptoms and comorbidities, making for a complex patient profile that challenges clinicians and healthcare administrators. This study used clustering techniques to determine if conditions co-occurred as clusters among those newly injured with mTBI and up to one year post-injury. Methods: We measured the co-occurrence of 41 conditions among SMs diagnosed with mTBI within the acute phase, one or three months post-mTBI diagnosis, and chronic phase, one year post-mTBI diagnosis. Conditions were identified from the literature, clinical subject matter experts, and mTBI care guidelines. The presence of conditions were based on medical encounters recorded within the military health care data system. Through a two-step approach, we identified clusters. Principal component analysis (PCA) determined the optimal number of clusters, and hierarchical cluster analyses (HCA) identified the composition of clusters. Further, we explored how the composition of these clusters changed over time. Results: Of the 42,018 SMs with mTBI, 23,478 (55.9%) had at least one condition of interest one-month post-injury, 26,831 (63.9%) three months post-injury, and 29,860 (71.1%) one year post injury. Across these three periods, six clusters were identified. One cluster included vision, cognitive, ear, and sleep disorders that occurred one month, three months, and one year post-injury. Another subgroup included psychological conditions such as anxiety, depression, PTSD, and other emotional symptoms that co-occurred in the acute and chronic phases post-injury. Nausea and vomiting symptoms clustered with cervicogenic symptoms one month post-injury, but later shifted to other clusters. Vestibular disorders clustered with sleep disorders and headache disorders one-month post-injury and included numbness and neuropathic pain one year post-injury. Substance abuse symptoms, alcohol disorders, and suicidal attempt clustered one year post-injury in a fifth cluster. Speech disorders co-occurred with headache disorders one month and one year post-injury to form a sixth cluster. Conclusion: PCA and HCA identified six distinct subgroups among newly diagnosed mTBI patients during the acute and chronic phases post-injury. These subgroups may help clinicians better understand the complex profile of SMs newly diagnosed with mTBI.

Estimating Repeat Traumatic Brain Injury in the U.S. Military, 2015-2017.

INTRODUCTION: Traumatic brain injury (TBI) is a significant health issue among deployed and non-deployed U.S. military service members (SMs). Since 2000, an estimated 413,858 SMs have been diagnosed with at least one TBI. Due to the difficulty in distinguishing new incident TBIs from follow-up TBI-related medical encounters in the Military Health System (MHS), the official TBI case definition also includes an incidence rule considering an individual an incident case only once per lifetime. We sought to examine patterns in medical records of SMs with at least one TBI encounter, in an effort to identify repeat TBIs in individual SMs and to estimate the incidence of repeat TBIs within the study cohort as a whole. MATERIALS AND METHODS: Using the official DoD TBI case definition, we obtained a list of SMs who sustained their first active duty TBI between October 1, 2015, and September 30, 2017. We identified the SM's diagnosing encounter (index TBI). Subsequently, we identified patterns associated with diagnosing medical encounters, as opposed to encounters associated with follow-up TBI care. We flagged external cause of injury records and the presence of TBI-related symptom codes at the diagnosing encounter. Traumatic brain injury-related symptoms included memory issues, alteration of cognition, hearing loss, vertigo, headache, anxiety, depression, emotional lability, weakness, insomnia, and vision disturbance. Data discovery results were shared with a group of clinicians at the Defense and Veterans Brain Injury Center, and the list of variables was further refined based on clinical expertise. Subsequently, we conducted stepwise logistic regression, and best fitting model was used to create a probability score to be applied to all TBI-related medical encounters. To validate the accuracy of the model-derived probability score, a stratified random sample of medical records was reviewed by trained clinician. At the 0.5 probability cutoff point, the model had an area under the curve of 0.69. We applied the final model portability scores to all identified TBI encounters to estimate the incidence of repeat TBI within the cohort. RESULTS: Between October 1, 2015, and September 30, 2017, we identified 36,440 SMs and their first lifetime TBI encounter. Study follow-up period was 2 years. Predictors of repeat TBI (rTBI) encounters included the presence of TBI diagnosis extender codes "A" (odds ratio [OR] = 4.67, 95% CI 2.15-10.12); W and V series codes (OR = 4.05, 95% CI 2.05-7.95 and OR = 2.86, 95% CI 1.40-5.83, respectively); patient's disposition at home/quarters; and admission or immediate referral (OR = 3.67, 95% CI 1.79-7.51). Number of diagnosis codes in patient's medical record was inversely associated with a repeat TBI encounter (OR = 0.84, 95% CI 0.76-0.96). Applying model-derived probability score onto identified medical records, we estimate that 804 unique SMs sustained an rTBI during the follow-up period, yielding a rate of 260 rTBIs per 10,000 person-years or approximately 2.32% of SMs annually. CONCLUSION: Probability scores based on statistical modeling can provide reasonable estimates of repeat incidences of TBI using medical billing data when formerly only the first TBI was thought to be measurable. With 100% sensitivity and 69% specificity, application of these models can inform estimates of repeat TBI across the MHS. This effort shows initial success if estimating repeat TBI, and further modeling work is encouraged to increase the predictive characteristics of the models as these efforts show promise in estimating repeat TBI across the MHS.

Epidemiology, patterns of care and outcomes of traumatic brain injury in deployed military settings: Implications for future military operations.

BACKGROUND: Traumatic brain injury (TBI) is prevalent and highly morbid among Service Members. A better understanding of TBI epidemiology, outcomes, and care patterns in deployed settings could inform potential approaches to improve TBI diagnosis and management. METHODS: A retrospective cohort analysis of Service Members who sustained a TBI in deployed settings between 2001 and 2018 was conducted. Among individuals hospitalized with TBI, we compared the demographic characteristics, mechanism of injury, injury type, and severity between combat and noncombat injuries. We compared diagnostic tests and procedures, evacuation patterns, return to duty rates and days in care between individuals with concussion and those with severe TBI. RESULTS: There were 46,309 service members with TBI and 9,412 who were hospitalized; of those hospitalized, 55% (4,343) had isolated concussion and 9% (796) had severe TBI, of whom 17% (132/796) had multiple injuries. Overall mortality was 2% and ranged from 0.1% for isolated concussion to 18% for severe TBI. The vast majority of TBI were evacuated by rotary wing to role 3 or higher, including those with isolated concussion. As compared with severe TBI, individuals with isolated concussion had fewer diagnostic or surgical procedures performed. Only 6% of service members with severe TBI were able to return to duty as compared with 54% of those with isolated concussion. Traumatic brain injury resulted in 123,677 lost duty days; individuals with isolated concussion spent a median of 2 days in care and those with severe TBI spent a median of 17 days in care and a median of 6 days in the intensive care unit. CONCLUSION: While most TBI in the deployed setting are mild, TBI is frequently associated with hospitalization and multiple injuries. Overtriage of mild TBI is common. Improved TBI capabilities applicable to forward settings will be critical to the success of future multidomain operations with limitations in air superiority. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level III.

Incidence of Traumatic Brain Injury in the U.S. Military, 2010-2014.

INTRODUCTION: Traumatic brain injury (TBI) is a significant health issue that affects U.S. military service members (SM) at home and in combat deployments. We estimated the TBI incidence rate in the deployed and non-deployed setting between 2010 and 2014 and identified subgroups with elevated rates for prevention efforts. METHODS: Retrospective population-based study of all active duty U.S. military SM that sustained a first active duty TBI diagnosis between January 2010 and December 2014 collected and analyzed in 2017. Using Armed Forces Health Surveillance Branch data we calculated the Mantel-Haenszel (MH) standardized TBI incidence rate in the deployed and non-deployed setting, adjusting for service and demographic factors. RESULTS: From 2010 to 2014, the MH standardized incidence rate for deployed SMs was 3,265 TBIs per 100 thousand p-yrs (95% CI: 3,222-3,307) and 1,705.2 (95% CI: 1,694.0-1,716.5) for non-deployed SMs. The youngest deployed male Army soldiers, those ages 17-24, especially White and Hispanic soldiers, had the highest TBI incidence rate (IR) of 5,748.7 (95% CI: 5,585.8-5,916.4) and 5,010.3 (95% CI: 4,647.5-5,401.4), respectively. The IR for all branches was 1,972.6 (95% CI: 1,959.5-1,985.7) and 724.0 (95% CI: 714.9-733.0) for Reserve/Guard Service members. CONCLUSIONS: Across all years, Marines and Army Soldiers experience the highest rates of injury with deployed SMs having elevated IRs of TBI. The TBI IR among deployed SMs was 91% higher than among those in the non-deployed setting, due to continued exposures to combat. Deployed Reserve/Guard component SMs seem to have an above average rate, a finding with implications for training and prevention.