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Clinical utility of PTSD, resilience, sleep, and blast as risk factors to predict poor neurobehavioral functioning following traumatic brain injury: A longitudinal study in U.S. military service members

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Abstract

Purpose This study examined the clinical utility of post-traumatic stress disorder (PTSD), low resilience, poor sleep, and lifetime blast exposure as risk factors for predicting future neurobehavioral outcome following traumatic brain injury (TBI). Methods Participants were 591 U.S. military service members and veterans who had sustained a TBI (n = 419) or orthopedic injury without TBI (n = 172). Participants completed the Neurobehavioral Symptom Inventory, PTSD Checklist, and the TBI-Quality of Life (TBI-QOL) scale at baseline and follow-up. Results Using the four risk factors at baseline, 15 risk factor combinations were examined by calculating odds ratios to predict poor neurobehavioral outcome at follow-up (i.e., number of abnormal scores across five TBI-QOL scales [e.g., Fatigue, Depression]). The vast majority of risk factor combinations resulted in odds ratios that were considered to be clinically meaningful (i.e., ≥ 2.5) for predicting poor outcome. The risk factor combinations with the highest odds ratios included PTSD singularly, or in combination with poor sleep and/or low resilience (odds ratios = 4.3–72.4). However, poor sleep and low resilience were also strong predictors in the absence of PTSD (odds ratios = 3.1–29.8). Conclusion PTSD, poor sleep, and low resilience, singularly or in combination, may be valuable risk factors that can be used clinically for targeted early interventions.
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Quality of Life Research (2022) 31:2411–2422
https://doi.org/10.1007/s11136-022-03092-4
Clinical utility ofPTSD, resilience, sleep, andblast asrisk factors
topredict poor neurobehavioral functioning followingtraumatic brain
injury: Alongitudinal study inU.S. military service members
RaelT.Lange1,2,3,4,11· LouisM.French1,2,3,5· JasonM.Bailie1,6,11· VictoriaC.Merritt7,8· CassandraL.Pattinson9·
LarsD.Hungerford1,10,11· Sara.M.Lippa2,3· TraceyA.Brickell1,2,3,5,11
Accepted: 14 January 2022 / Published online: 25 January 2022
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
Abstract
Purpose This study examined the clinical utility of post-traumatic stress disorder (PTSD), low resilience, poor sleep, and
lifetime blast exposure as risk factors for predicting future neurobehavioral outcome following traumatic brain injury (TBI).
Methods Participants were 591 U.S. military service members and veterans who had sustained a TBI (n = 419) or orthopedic
injury without TBI (n = 172). Participants completed the Neurobehavioral Symptom Inventory, PTSD Checklist, and the
TBI-Quality of Life (TBI-QOL) scale at baseline and follow-up.
Results Using the four risk factors at baseline, 15 risk factor combinations were examined by calculating odds ratios to pre-
dict poor neurobehavioral outcome at follow-up (i.e., number of abnormal scores across five TBI-QOL scales [e.g., Fatigue,
Depression]). The vast majority of risk factor combinations resulted in odds ratios that were considered to be clinically
meaningful (i.e., 2.5) for predicting poor outcome. The risk factor combinations with the highest odds ratios included
PTSD singularly, or in combination with poor sleep and/or low resilience (odds ratios = 4.3–72.4). However, poor sleep and
low resilience were also strong predictors in the absence of PTSD (odds ratios = 3.1–29.8).
Conclusion PTSD, poor sleep, and low resilience, singularly or in combination, may be valuable risk factors that can be used
clinically for targeted early interventions.
Keywords Traumatic brain injury· Posttraumatic stress· Sleep disturbance· Resilience· Military
Introduction
Traumatic brain injury (TBI) in military service members
and veterans (SMVs) is common [1]. Outcome from TBI can
range from full recovery to long-term disability, and can be
influenced by many factors (e.g., injury severity; access to
care; and biological and psychological factors [24]). In the
United States, it has been estimated that the financial cost of
providing medical and rehabilitation services to SMVs with
a history of TBI is four times greater than those SMVs with-
out a TBI diagnosis [57]. As such, early identification and
treatment of those individuals ‘at risk’ for poor long-term
outcome following TBI has obvious benefits for increasing
warfighter readiness and reducing the economic impact of
healthcare provision.
Of particular interest to this study is past research exam-
ining neurobehavioral outcome following TBI of all severi-
ties in military and civilian populations that has consistently
demonstrated that common comorbidities such as PTSD [4,
* Rael T. Lange
rael.lange@gmail.com
1 Traumatic Brain Injury Center ofExcellence, SilverSpring,
MD, USA
2 Walter Reed National Military Medical Center, Bethesda,
MD, USA
3 National Intrepid Center ofExcellence, Bethesda, MD, USA
4 University ofBritish Columbia, Vancouver, BC, Canada
5 Uniformed Services University oftheHealth Sciences,
Bethesda, MD, USA
6 Naval Hospital Camp Pendleton, Oceanside, CA, USA
7 VA San Diego Healthcare System, SanDiego, CA, USA
8 University ofCalifornia San Diego, LaJolla, CA, USA
9 University ofQueensland, Brisbane, QLD, Australia
10 Naval Medical Center San Diego, SanDiego, CA, USA
11 General Dynamics Information Technology, FallsChurch,
VA, USA
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... This heterogeneity presents significant challenges to evaluation and care. Mild TBI is by far the most common TBI diagnosis and may resolve well over time; yet, for reasons that are not yet clear, a significant proportion of patients diagnosed with mild TBI suffer from persistent symptoms [1,2]. Indeed, early symptoms of anxiety and/or depression are predictive of worse functional outcomes in patients with mild TBI [3]. ...
... Prolonged stress can also increase the risk for anxiety, depression, and sleep disorders [6]. In patients with mild TBI, co-morbid post-traumatic stress disorder and poor sleep, which are of increased concern for military service members, are each predictive of poor neurobehavioral outcomes [2]. How repetitive head injury events intersect with stressful experiences to influence symptom expression and long term outcomes is not clearly understood, but is important to consider in the diagnosis and treatment of mild TBI. ...
... Complex experiences of repetitive mild TBI with environmental and/or emotional stressors are particularly relevant to military service members, who may experience events of head impact and/or acceleration, blast exposure, and stress due to traumatic experiences, adverse conditions and sleep deficiency. Natural history studies in military and civilian patients with TBI will continue to be important for understanding the heterogeneity of events, including stress and blast exposures, and patient factors such as age and sex/gender that influence symptom expression [2,7,8]. To complement these clinical studies in understanding factors contributing 4 to TBI outcomes, specific components of the stress and mild TBI events can be modeled in animals. ...
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... with worse neurobehavioral functioning following TBI. 38 One study suggested an association between PTSD and insomnia severity, sleep quality, and disruptive nocturnal behaviors. The authors concluded that HLB exposure did not affect sleep directly but rather indirectly through PTSD because HLB exposure was only directly associated with one measure of sleep (i.e., rapid eye movement sleep fragmentation). ...
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Objective: This study assessed the strength of military-related concussion-, psychological-, and behavioral-related measures to predict neurobehavioral symptom (NBS) reporting in order to help clarify the extent to which persistent NBS reflect lingering effects of concussion vs other psychological/behavioral factors among veterans. Methods: Baseline analysis included 351 consecutively enrolled veterans in the Translational Research Center for Traumatic Brain Injury and Stress Disorders longitudinal cohort study. One hundred eighty-six returned for a follow-up evaluation averaging 24 months post baseline. The Neurobehavioral Symptom Inventory (NSI) was used to measure NBS reporting. Predictor variables included diagnosis of military-related mild traumatic brain injury (M-mTBI), psychological measures, including posttraumatic stress disorder, mood, anxiety, and substance abuse disorders, and behavioral measures, including self-reported current pain and sleep impairment. Hierarchical and multivariable regression analyses examined the relationships between the predictor variables and NSI scores. The k-fold cross-validation assessed generalizability and validity of the regressions. Results: Baseline analysis revealed that psychological and behavioral conditions independently accounted for 42.5% of variance in the NSI total score compared to 1.5% for M-mTBI after controlling for psychological and behavioral conditions. Prospective analysis revealed that M-mTBI at baseline did not significantly predict NSI score at follow-up, while psychological and behavioral measures at baseline independently accounted for 24.5% of NSI variance. Posttraumatic stress disorder was the most consistent predictor. Cross-validation analyses supported generalizability of the results. Conclusions: Psychological and behavioral-related measures are strong predictors of persistent NBS reporting in veterans, while M-mTBI is negligible. NBS more likely reflect influential comorbidities as opposed to brain injury, per se.
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The objective of this study was to assess the associations between resilience, adversity, post-concussion symptoms, and posttraumatic stress symptom reporting following mild traumatic brain injury (mTBI). We hypothesized that resilience would be associated with less symptom reporting and adversity would be associated with greater symptom reporting. This was a cross-sectional study of retrospective data collected for an ongoing TBI repository. US military service members who screened positive for mTBI during a primary care visit completed the Trauma History Screen (THS), Connor-Davidson Resilience Scale (CD-RISC), Neurobehavioral Symptom Inventory (NSI), and PTSD Checklist-Civilian Version (PCL-C). Data collected from February 2015 to August 2016 were used for the present study. Only participants with complete data for the above measures were included, yielding a sample size of 165 participants. Adversity (THS) and resilience (CD-RISC) scores were each significantly correlated with post-concussion (NSI) and traumatic stress (PCL-C) total and subscale scores in the hypothesized direction. Interactions between adversity and resilience were absent for all measures except the NSI sensory subscale. Four traumatic event types were significantly positively associated with most NSI and PCL-C total and subscale scores, but the age at which traumatic events were first experienced showed few, and mixed significant associations. In conclusion, resilience and adversity were significantly associated with symptom endorsement following mTBI. Screening for cumulative adversity may identify individuals at greater risk of developing persistent post-concussion symptoms and/or PTSD and interventions that increase resilience may reduce symptom severity.