The 8 January 2020 theatre ballistic missile attack on US soldiers stationed at Al Asad Air Base, Iraq: case series using a concussion subtypes framework to approach a real-world, chaotic blast-related TBI mass casualty event.

Objectives: This study aims to describe which concussion subtype(s) result specifically from the explosions of theatre ballistic missiles (TBMs) blast waves, an extremely rare occurrence in modern warfare. We provide feedback from using the US military's standard acute concussion screening tool, the Military Acute Concussion Examination version 2, in a deployed, chaotic, real-world environment. Background: Iran launched 27 professionally manufactured TBMs into Iraq on 8 January 2020. Eleven detonated within Al Asad Air Base, exposing approximately 330 soldiers to TBM-blast waves. The concussion subtype(s) resultant from TBM blast-related concussion is not known. Methods: Case series from the Al Asad TBM-blast exposed cohort who evacuated to Landstuhl Regional Medical Center (LRMC), Germany up to 3 months following the attack and were diagnosed with concussion. Around 4 weeks, TBM-blast exposed individuals still present on Al Asad were screened with the Neurobehavioural Symptom Inventory (NSI) and vestibular ocular motor screening (VOMS); positive screens evacuated to LRMC. Data from 8 January 2020 to 7 April 2020 were cross-sectionally analysed. Results: 35/38 patients met criteria for mild traumatic brain injury/concussion. 34/35 were within a 100 m blast radius. Migraine/headache, cognitive and mood/anxiety subtypes were common. VOMS was abnormal in 18/18 tested; 16 deferred due to overt symptoms. The 4-week screen identified nine additional concussed individuals. Conclusions: Among TBM-blast concussion patients, migraine/headache, cognitive, mood/anxiety and likely vestibular/ocular motor subtypes were predominant. Our study supports postconcussion screening that includes both a subjective symptom inventory, for example, NSI, and a performance-based ocular motor/vestibular screening examination, for example, VOMS, to help identify patients who may under recognise or under-report/minimise symptoms.

Brain Injury: What Influences the Beliefs U.S. Service Members Have About Reporting and Seeking Care?

INTRODUCTION: Despite the recent Department of Defense emphasis on traumatic brain injury (TBI) education and improvements in treatment, social, and attitudinal beliefs instilled in the military community hinder seeking medical assistance at the time of injury. This survey research presents injury reporting and care seeking behavioral patterns of service members (SMs) stationed in the Landstuhl catchment area in the context of TBI. This descriptive study investigated whether sociocultural factors influence health decision-making among SMs stationed abroad and how these compare to the SMs stationed in Fort Bliss and Fort Hood. MATERIALS AND METHODS: A total of 969 of U.S. Army, Air Force, and Navy SMs completed a voluntary and anonymous 2- to 5-minute paper survey during the month of March 2019. As a result of illegibility and incompleteness, 15 survey responses were removed from the total sample. RESULTS: Data analyses show three main findings about SMs in the Landstuhl catchment area: (a) older population (25-34, ≥48%; 18-24, 26.1%; +35, 25.4%) when compared to Fort Hood and Fort Bliss (≥48%; 18-24); (b) more years in service (7-13 years; 30.2%) versus 6 years or less in both Fort Hood and Fort Bliss (≥69%); (c) 54.8% of participants did not think TBI requires care versus 63.5% in both Fort Bliss and Fort Hood. CONCLUSION: Results suggest that TBI beliefs and influences are constant variables hindering health decision-making choices in the military population. Beliefs about thinking that the injury does not require care, fear to jeopardize the career, and knowledge about TBI and treatments vary among the respondents and all these components influence treatment-seeking behaviors. The findings provide a preliminary framework to further investigate the role of culture in reporting and seeking treatment behaviors among SMs.

Evaluation of Machine Learning Techniques to Predict the Likelihood of Mental Health Conditions Following a First mTBI.

OBJECTIVE: Limited research has evaluated the utility of machine learning models and longitudinal data from electronic health records (EHR) to forecast mental health outcomes following a traumatic brain injury (TBI). The objective of this study is to assess various data science and machine learning techniques and determine their efficacy in forecasting mental health (MH) conditions among active duty Service Members (SMs) following a first diagnosis of mild traumatic brain injury (mTBI). MATERIALS AND METHODS: Patient demographics and encounter metadata of 35,451 active duty SMs who have sustained an initial mTBI, as documented within the EHR, were obtained. All encounter records from a year prior and post index mTBI date were collected. Patient demographics, ICD-9-CM and ICD-10 codes, enhanced diagnostic related groups, and other risk factors estimated from the year prior to index mTBI were utilized to develop a feature vector representative of each patient. To embed temporal information into the feature vector, various window configurations were devised. Finally, the presence or absence of mental health conditions post mTBI index date were used as the outcomes variable for the models. RESULTS: When evaluating the machine learning models, neural network techniques showed the best overall performance in identifying patients with new or persistent mental health conditions post mTBI. Various window configurations were tested and results show that dividing the observation window into three distinct date windows [-365:-30, -30:0, 0:14] provided the best performance. Overall, the models described in this paper identified the likelihood of developing MH conditions at [14:90] days post-mTBI with an accuracy of 88.2%, an AUC of 0.82, and AUC-PR of 0.66. DISCUSSION: Through the development and evaluation of different machine learning models we have validated the feasibility of designing algorithms to forecast the likelihood of developing mental health conditions after the first mTBI. Patient attributes including demographics, symptomatology, and other known risk factors proved to be effective features to employ when training ML models for mTBI patients. When patient attributes and features are estimated at different time window, the overall performance increase illustrating the importance of embedding temporal information into the models. The addition of temporal information not only improved model performance, but also increased interpretability and clinical utility. CONCLUSION: Predictive analytics can be a valuable tool for understanding the effects of mTBI, particularly when identifying those individuals at risk of negative outcomes. The translation of these models from retrospective study into real-world validation models is imperative in the mitigation of negative outcomes with appropriate and timely interventions.

Military Acute Concussion Evaluation: A Report on Clinical Usability, Utility, and User's Perceived Confidence.

The signs and symptoms of concussion may not always be clear. Therefore, the Military Acute Concussion Evaluation (MACE) tool was created to help deployed medics and corpsmen identify concussions, particularly in deployed settings. Since 2008, the MACE has been updated multiple times, but each new version of the tool is more complex and takes longer to complete. The objective of this study was to assess the usability, utility, and perceived confidence among military healthcare providers for the latest version, MACE 2. Therefore, a semi-structured interview, including Likert-scale and open-ended questions, was conducted among military healthcare providers at Landstuhl Regional Medical Center in order to assess the usability, utility and perceived confidence of the MACE 2. All of the providers had completed a training course on the MACE 2 and had used it for at least 3 months in their clinics. A total of 28 participants were recruited, including 22 medics, two physicians, three nurses, and one physician assistant. Average scores of usability, utility, and confidence were 5.7, 6.6, and 6.3, respectively, with 7.0 being the most positive score, and thus indicating positive assessments in all categories. The open-ended questions revealed high usability and confidence and the desire for additional training on the tool. In conclusion, despite the increased complexity and duration of the MACE 2 compared with the previous version of this tool, military providers and army medics found the new MACE 2 very useable and had a high degree of confidence in its performance.

Association of Time Since Injury to the First Clinic Visit With Recovery Following Concussion.

Importance: Recovery after concussion varies, with adolescents taking longer (approximately 30 days) than adults. Many factors have been reported to influence recovery, including preinjury factors, perceptions about recovery, comorbid conditions, and sex. However, 1 factor that may play a role in recovery but has received little attention from researchers is the timeliness of clinical evaluation and care. Objective: To investigate the association of time since injury with initiation of clinical care on recovery time following concussion. Design, Setting, and Participants: This retrospective, cross-sectional study was conducted in a sports medicine clinic between August 2016 and March 2018. Eligible participants were aged 12 to 22 years and had a diagnosed, symptomatic concussion; patients were excluded if recovery data were incomplete. Participants were divided into 2 groups: those seen within 7 days of the injury (early) vs between 8 and 20 days of the injury (late). Data were analyzed between June 2019 and August 2019. Exposures: Time from injury (concussion) to initiation of clinical care. Main Outcomes and Measures: Recovery time; testing with the Post-Concussion Symptom Scale, Immediate Post-Concussion Assessment and Cognitive Testing, and Vestibular/Ocular Motor Screening instruments; demographic factors, medical history, and injury information. Results: A total of 416 individuals were eligible, and 254 (61.1%) were excluded, leaving 162 (38.9%) in analyses. The early group (98 patients) and late group (64 patients) did not differ in age (mean [SD] age, early, 15.3 [1.6] years; late, 15.4 [1.6] years), number of female patients (early, 51 of 98 [52.0%]; late, 40 of 64 [62.5%]), or other demographic, medical history, or injury information. The groups also were similar on symptom severity, cognitive, ocular, and vestibular outcomes at the first clinic visit. Results from a logistical regression supported being in the late group (adjusted odds ratio, 5.8 [95% CI, 1.9-17.6]; P = .001) and visual motion sensitivity symptoms greater than 2 (adjusted odds ratio, 4.5 [95% CI, 1.1-18.0]; P = .04) as factors significantly associated with recovery time. Conclusions and Relevance: Findings suggest that earlier initiation of clinical care is associated with faster recovery after concussion. Other factors may also influence recovery time. Further research is needed to determine the role of active rehabilitation and treatment strategies, as well as demographic factors, medical history, and injury characteristics on the current findings.

Military Medicine Implements In-home Virtual Health in Europe.

OBJECTIVE: This report outlines a multispecialty implementation effort which included 12 specialty practices and 28 clinicians within Regional Health Command Europe (RHCE) and Landstuhl Regional Medical Center (LRMC) to pilot an in-home virtual health (VH) program using existing resources. METHODS AND MATERIALS: Synchronous VH encounters were performed using an Acano desktop conferencing client (Cisco Systems, Inc, San Jose, CA) and a USB web camera at the provider (distant) site and the patient's own computer or device in the home. A web real-time conferencing (Web RTC) server provided the connections. RESULTS: Between October 2016 and May 2018, 310 synchronous VH appointments to patients' homes in 23 geographic locations in 9 countries on 3 different continents were completed; 28 skill type I and II specialty providers at LRMC, SHAPE Belgium Army Health Clinic (AHC), and Vilseck AHC, Germany Primary Care Clinic participated. The providers represented 9 distinct specialties and primary care. Appointment types were as follows: 85 (39%) follow-up type appointments; 70 (32%) group type appointments; 65 (30%) initial specialty care appointments. The 3 most active clinics were Pediatric Gastroenterology with 88 (28%), the Nutrition Clinic with 82 (26%), and the Traumatic Brain Injury Clinic with 63 (20%) encounters. Full audio and video connectivity rate was 97%, excluding reconnects after dropped calls which occasionally occurred. Patient satisfaction scores were high 16/17 (94%) with 5% of patients surveyed. CONCLUSION: Low complexity synchronous VH appointments were successfully accomplished across a broad spectrum of health care services and appointment types. Landstuhl RMC specialists received consults from sites across a vast geographic area including Europe, the Middle East, and Africa. An in-home VH option gives providers a special tool to extend services far beyond traditional boundaries. This pilot project helped RHCE and LRMC providers gain valuable experience extending care to the home and will provide foundational knowledge for future VH efforts targeting groups and outcomes.

Visual Dysfunctions at Different Stages after Blast and Non-blast Mild Traumatic Brain Injury.

PURPOSE: To assess the prevalence of visual dysfunctions and associated symptoms in war fighters at different stages after non-blast- or blast-induced mild traumatic brain injury (mTBI). METHODS: A comprehensive retrospective review of the electronic health records of 500 U.S. military personnel with a diagnosis of deployment-related mTBI who received eye care at the Landstuhl Regional Medical Center. For analysis, the data were grouped by mechanism of injury, and each group was further divided in three subgroups based on the number of days between injury and initial eye examination. RESULTS: The data showed a high frequency of visual symptoms and visual dysfunctions. However, the prevalence of visual symptoms and visual dysfunctions did not differ significantly between mechanism of injury and postinjury stage, except for eye pain and diplopia. Among visual symptoms, binocular dysfunctions were more common, including higher near vertical phoria, reduced negative fusional vergence break at near, receded near point of convergence, decreased stereoacuity, and reduced positive relative accommodation. CONCLUSIONS: The lack of difference in terms of visual sequelae between subgroups (blast vs. nonblast) suggests that research addressing the assessment and management of mTBI visual sequelae resulting from civilian nonblast events is relevant to military personnel where combat injury results primarily from a blast event.

Hearing Loss and Tinnitus in Military Personnel with Deployment-Related Mild Traumatic Brain Injury.

The objective of this study was to analyze differences in incidence and epidemiologic risk factors for significant threshold shift (STS) and tinnitus in deployed military personnel diagnosed with mild traumatic brain injury (mTBI) due to either a blast exposure or nonblast head injury. A retrospective longitudinal cohort study of electronic health records of 500 military personnel (456 met inclusion criteria) diagnosed with deployment-related mTBI was completed. Chi-square tests and STS incidence rates were calculated to assess differences between blast-exposed and nonblast groups; relative risks and adjusted odds ratios of developing STS or tinnitus were calculated for risk factors. Risk factors included such characteristics as mechanism of injury, age, race, military occupational specialty, concurrent diagnosis of posttraumatic stress disorder (PTSD), and nicotine use. Among blast-exposed and nonblast patients, 67% and 58%, respectively, developed STS, (P=.06); 59% and 40%, respectively, developed tinnitus (P<.001). Incidence of STS was 24% higher in the blast-exposed than nonblast group. Infantry service was associated with STS; Marine Corps service, PTSD, and zolpidem use were associated with tinnitus. Unprotected noise exposure was associated with both STS and tinnitus. This study highlights potential risk factors for STS and tinnitus among blast-exposed and nonblast mTBI patient groups.

Visual field dysfunctions in warfighters during different stages following blast and nonblast mTBI.

OBJECTIVES: Traumatic brain injury (TBI) is the leading injury coming out of the past decades' two major military conflicts, with mild TBI (mTBI) being the most commonly diagnosed form. The aim of this study was to assess the frequency and types of visual field (VF) defects seen at different testing stages following nonblast and blast-induced mTBI. METHODS: A comprehensive retrospective review was performed on 500 electronic health records for military personnel sustaining an mTBI during deployment, of which 166 patients were tested with both confrontation VF and 30-2 Humphrey Matrix Frequency Doubling Technology (FDT) perimetry. RESULTS: Scatter defects (48%) were the most predominantly found deficits in both blast and nonblast mTBI injury mechanisms and over postinjury test time frames. Confrontation VF was shown to be a poor qualitative predictor of VF defect. A profound decrease in VF sensitivity was noted in comparison to previously reported FDT normative data. Finally, a significant trend of decreasing VF defects was seen over time, indicating the potential usage of FDT as a visual biomarker for monitoring mTBI recovery. CONCLUSIONS: The findings of this study highlight the importance of performing threshold perimeter testing in those who have suffered an mTBI or concussion-like event.