Experiences of racial discrimination and adverse gene expression among black individuals in a level 1 trauma center sample.

Up to 40 % of individuals who sustain traumatic injuries are at risk for posttraumatic stress disorder (PTSD) and the conditional risk for developing PTSD is even higher for Black individuals. Exposure to racial discrimination, including at both interpersonal and structural levels, helps explain this health inequity. Yet, the relationship between racial discrimination and biological processes in the context of traumatic injury has yet to be fully explored. The current study examined whether racial discrimination is associated with a cumulative measure of biological stress, the gene expression profile conserved transcriptional response to adversity (CTRA), in Black trauma survivors. Two-weeks (T1) and six-months (T2) post-injury, Black participants (N = 94) provided a blood specimen and completed assessments of lifetime racial discrimination and PTSD symptoms. Mixed effect linear models evaluated the relationship between change in CTRA gene expression and racial discrimination while adjusting for age, gender, body mass index (BMI), smoking history, heavy alcohol use history, and trauma-related variables (mechanism of injury, lifetime trauma). Results revealed that for individuals exposed to higher levels of lifetime racial discrimination, CTRA significantly increased between T1 and T2. Conversely, CTRA did not increase significantly over time in individuals exposed to lower levels of lifetime racial discrimination. Thus, racial discrimination appeared to lead to a more sensitized biological profile which was further amplified by the effects of a recent traumatic injury. These findings replicate and extend previous research elucidating the processes by which racial discrimination targets biological systems.

Racial discrimination increases the risk for nonremitting posttraumatic stress disorder symptoms in traumatically injured Black individuals living in the United States.

Traumatic, life-threatening events are experienced commonly among the general U.S. population, yet Black individuals in the United States (i.e., Black Americans) exhibit higher prevalence rates of posttraumatic stress disorder (PTSD) and more severe symptoms than other populations. Although empirical research has noted a range of symptom patterns that follow traumatic injury, minimal work has examined the role of racial discrimination in relation to PTSD symptom trajectories. The current study assessed racial discrimination and PTSD symptom trajectories at 6 months postinjury across two separate samples of traumatically injured Black Americans (i.e. emergency department (ED)-discharged and hospitalized). Identified PTSD symptom trajectories largely reflect those previously reported (i.e., ED: nonremitting, moderate, remitting, and resilient; hospitalized: nonremitting, delayed, and resilient), although the resilient trajectory was less represented than expected given past research (ED: 55.8%, n = 62; hospitalized: 46.9%, n = 38). Finally, higher racial discrimination was associated with nonremitting, ED: relative risk ratio (RR) = 1.32, hospitalized: RR = 1.23; moderate, ED: RR = 1.18; and delayed, hospitalized: RR = 1.26, PTSD symptom trajectories. Overall, the current findings not only emphasize the inimical effects of racial discrimination but also demonstrate the unique ways in which race-related negative events can impact PTSD symptom levels and recovery across time.

Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. RESULTS: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for d-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. CONCLUSION: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.

Mechanisms of traumatic injury by demographic characteristics: an 8-year review of temporal trends from the National Trauma Data Bank.

BACKGROUND/PURPOSE: This 8-year retrospective study of the National Trauma Data Bank describes temporal trends of traumatic injury by mechanism of injury (MOI) by demographic characteristics from 2012 to 2019 for adult patients 18 years and older. METHODS: Overall, 5 630 461 records were included after excluding those with missing demographic information and International Classification of Disease codes. MOIs were calculated as proportions of total injury by year. Temporal trends of MOI were evaluated using two-sided non-parametric Mann-Kendall trend tests for (1) all patients and (2) within racial and ethnic groups (ie, Asian, 2% of total patient sample; Black, 14%; Hispanic or Latino, 10%; Multiracial, 3%; Native American, <1%; Pacific Islander, <1%; White, 69%) and stratified by age and sex. RESULTS/OUTCOMES: For all patients, falls increased over time (p=0.001), whereas burn (p<0.01), cut/pierce (p<0.01), cyclist (p=0.01), machinery (p<0.001), motor vehicle transport (MVT) motorcyclist (p<0.001), MVT occupant (p<0.001) and other blunt trauma (p=0.03) injuries decreased over time. The proportion of falls increased across all racial and ethnic groups and significantly for those aged 65 and older. There were further differences in decreasing trends of MOI by racial and ethnic categories and by age groups. CONCLUSIONS: These results suggest that falls are an important injury prevention target with an ageing US population across all racial and ethnic groups. Differing injury profiles by racial and ethnic identity indicate that injury prevention efforts be designed accordingly and targeted specifically to individuals most at risk for specific MOIs. STUDY TYPE: Level I, prognostic/epidemiological.

Attributional negativity bias and acute stress disorder symptoms mediate the association between trauma history and future posttraumatic stress disorder.

Individuals who have experienced more trauma throughout their life have a heightened risk of developing posttraumatic stress disorder (PTSD) following injury. Although trauma history cannot be retroactively modified, identifying the mechanism(s) by which preinjury life events influence future PTSD symptoms may help clinicians mitigate the detrimental effects of past adversity. The current study proposed attributional negativity bias, the tendency to perceive stimuli/events as negative, as a potential intermediary in PTSD development. We hypothesized an association between trauma history and PTSD symptom severity following a new index trauma via heightened negativity bias and acute stress disorder (ASD) symptoms. Recent trauma survivors (N =189, 55.5% women, 58.7% African American/Black) completed assessments of ASD, negativity bias, and lifetime trauma 2-weeks postinjury; PTSD symptoms were assessed 6 months later. A parallel mediation model was tested with bootstrapping (10,000 resamples). Both negativity bias, Path b1 : ß = -.24, t(187) = -2.88, p = .004, and ASD symptoms, Path b2 : ß = .30, t(187) = 3.71, p < .001, fully mediated the association between trauma history and 6-month PTSD symptoms, full model: F(6, 182) = 10.95, p < .001, R 2 = .27; Path c': ß = .04, t(187) = 0.54, p = .587. These results suggest that negativity bias may reflect an individual cognitive difference that can be further activated by acute trauma. Moreover, negativity bias may be an important, modifiable treatment target, and interventions addressing both acute symptoms and negativity bias in the early posttrauma period may weaken the link between trauma history and new-onset PTSD.

Suicide Data in Trauma Centers: Implications of Imprecision.

BACKGROUND: Trauma registries exist to provide data for evaluating the quality of care of trauma patients. These data facilitate research and can be used for outreach, planning, and improvement in trauma patient outcomes. However, the accuracy of registry data related to suicide has not been well studied. OBJECTIVE: This study sought to evaluate the accuracy of current trauma registry coding practices related to labeling injury as a suicide attempt among patients presenting to a Level I trauma center after self-inflicted injury. METHODS: We conducted a single-center, retrospective cohort analysis of a Level I trauma center trauma registry on all patients with self-inflicted injuries from 2011 to 2021. Manual chart review was used to identify cases wherein patients' injuries were categorized as suicidal despite the absence of suicidal intent. RESULTS: During this 11-year period, 537 patients were identified as having presented to the trauma center for traumatic self-inflicted injuries. Manual chart review revealed that 16% of these patients were incorrectly categorized as having attempted suicide despite their self-inflicted injury lacking suicidal intent (e.g., accidents, nonsuicidal self-harm). CONCLUSION: We found that 16% of trauma registry patients were overcategorized as having attempted suicide. Trauma registry data are an important source of information for activities related to injury prevention in trauma centers. Imprecise coding of self-inflicted injury may lead to poorly targeted programs and interventions due to incorrectly represented injury causes and patterns in trauma patient populations, including suicide prevention.

Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis.

Studies of posttraumatic stress disorder (PTSD) report volume abnormalities in multiple regions of the cerebral cortex. However, findings for many regions, particularly regions outside commonly studied emotion-related prefrontal, insular, and limbic regions, are inconsistent and tentative. Also, few studies address the possibility that PTSD abnormalities may be confounded by comorbid depression. A mega-analysis investigating all cortical regions in a large sample of PTSD and control subjects can potentially provide new insight into these issues. Given this perspective, our group aggregated regional volumes data of 68 cortical regions across both hemispheres from 1379 PTSD patients to 2192 controls without PTSD after data were processed by 32 international laboratories using ENIGMA standardized procedures. We examined whether regional cortical volumes were different in PTSD vs. controls, were associated with posttraumatic stress symptom (PTSS) severity, or were affected by comorbid depression. Volumes of left and right lateral orbitofrontal gyri (LOFG), left superior temporal gyrus, and right insular, lingual and superior parietal gyri were significantly smaller, on average, in PTSD patients than controls (standardized coefficients = -0.111 to -0.068, FDR corrected P values < 0.039) and were significantly negatively correlated with PTSS severity. After adjusting for depression symptoms, the PTSD findings in left and right LOFG remained significant. These findings indicate that cortical volumes in PTSD patients are smaller in prefrontal regulatory regions, as well as in broader emotion and sensory processing cortical regions.

Improved Prediction of Older Adult Discharge After Trauma Using a Novel Machine Learning Paradigm.

BACKGROUND: The ability to reliably predict outcomes after trauma in older adults (age ≥ 65 y) is critical for clinical decision making. Using novel machine-learning techniques, we sought to design a nonlinear, competing risks paradigm for prediction of older adult discharge disposition following injury. MATERIALS AND METHODS: The National Trauma Databank (NTDB) was used to identify patients 65+ y between 2007 and 2014. Training was performed on an enriched cohort of diverse patients. Factors included age, comorbidities, length of stay, and physiologic parameters to predict in-hospital mortality and discharge disposition (home versus skilled nursing/long-term care facility). Length of stay and discharge status were analyzed via competing risks survival analysis with Bayesian additive regression trees and a multinomial mixed model. RESULTS: The resulting sample size was 47,037 patients. Admission GCS and age were important in predicting mortality and discharge disposition. As GCS decreased, patients were more likely to die (risk ratio increased by average of 1.4 per 2-point drop in GCS, P < 0.001). As GCS decreased, patients were also more likely to be discharged to a skilled nursing or long-term care facility (risk ratio decreased by 0.08 per 2-point decrease in GCS, P< 0.001). The area under curve for prediction of discharge home was improved in the competing risks model 0.73 versus 0.43 in the traditional multinomial mixed model. CONCLUSIONS: Predicting older adult discharge disposition after trauma is improved using machine learning over traditional regression analysis. We confirmed that a nonlinear, competing risks paradigm enhances prediction on any given hospital day post injury.

Relationship Between Decreased Cortisol and Development of Chronic Pain in Traumatically Injured.

BACKGROUND: The relationship between pain and stress is widely accepted, yet the underlying neuroendocrine mechanisms are poorly understood. Cortisol secretion during a stress response, may distract attention from a painful stimulus, inhibiting pain. However, when pain is the stressor, cortisol secretion may intensify the pain experience and condition a fear-based memory of pain. This study attempts to determine the relationship between acute pain, chronic pain, and cortisol in the traumatically injured population. METHODS: Secondary analyses of a prospective observational study with participants from a Midwestern Adult Level I Trauma Center post traumatic injury, with interview and serum cortisol taken at hospitalization (baseline) and 6 mo after discharge, was completed using Ward's Method hierarchical cluster analysis, Pearson's correlations, and linear regressions. RESULTS: Two major clusters were identified. The Chronic Pain group were those who had severe pain at discharge and continued to have severe pain as defined by Numeric Pain Score. The Resolved Pain group were those who had moderate pain at discharge and their pain improved or resolved. Pain score at discharge significantly, negatively correlated with baseline cortisol levels (r = -0.142, P = 0.02). Minority status, single individuals, low cortisol at baseline, and greater psychological distress at baseline significantly increased the likelihood of developing chronic pain. CONCLUSIONS: Low cortisol and greater psychological stress, which are also associated with minority status and single individuals, contribute to chronic pain in the traumatically injured population. Trauma victims without an adequate cortisol response to acute injury and pain are at risk for development of chronic pain after injury.

Comparing Traumatic Brain Injury Symptoms Reported via Questionnaires Versus a Novel Structured Interview.

OBJECTIVE: Mild traumatic brain injury (mTBI) symptoms are typically assessed via questionnaires in research, yet questionnaires may be more prone to biases than direct clinical interviews. We compared mTBI symptoms reported on two widely used self-report inventories and the novel Structured Interview of TBI Symptoms (SITS). Second, we explored the association between acquiescence response bias and symptom reporting across modes of assessment. METHOD: Level 1 trauma center patients with mTBI (N = 73) were recruited within 2 weeks of injury, assessed at 3 months post-TBI, and produced nonacquiescent profiles. Assessments collected included the SITS (comprising open-ended and closed-ended questions), Rivermead Post Concussion Symptoms Questionnaire (RPQ), Sport Concussion Assessment Tool-3 (SCAT-3) symptom checklist, and Minnesota Multiphasic Personality Inventory-2 Restructured Form True Response Inconsistency (TRIN-r) scale. RESULTS: Current mTBI symptom burden and individual symptom endorsement were highly concordant between SITS closed-ended questions, the RPQ, and the SCAT-3. Within the SITS, participants reported significantly fewer mTBI symptoms to open-ended as compared to later closed-ended questions, and this difference was weakly correlated with TRIN-r. Symptom scales were weakly associated with TRIN-r. CONCLUSIONS: mTBI symptom reporting varies primarily by whether questioning is open- vs. closed-ended but not by mode of assessment (interview, questionnaire). Acquiescence response bias appears to play a measurable but small role in mTBI symptom reporting overall and the degree to which participants report more symptoms to closed- than open-ended questioning. These findings have important implications for mTBI research and support the validity of widely used TBI symptom inventories.

Event centrality and posttraumatic stress symptoms after traumatic injury: A longitudinal investigation.

The development of posttraumatic stress symptoms (PTSS) can occur following a traumatic injury, which may include an increase in negative cognitions. One cognitive construct shown to be associated with the development of PTSS is event centrality, or the degree to which an individual views a traumatic experience as central to their life story. Although cross-sectional work has demonstrated a robust connection between event centrality and PTSS, the directionality of this association remains unclear. Most previous work has investigated centrality as a predictor of PTSS, although one recent study suggests that PTSS may, in fact, predict event centrality. The current longitudinal study enrolled adult civilian participants (N = 191) from a Level 1 trauma center following a traumatic injury and assessed both event centrality and PTSS at three points posttrauma (3, 12, and 18 months). A time-constrained random intercept cross-lagged panel analysis showed that PTSS predicted event centrality over the 18-month follow-up period, B = 0.16, p = .021, but event centrality did not predict PTSS, B = -0.27, p = .340. These findings suggest that the development of PTSS following trauma exposure may lead to the perception of the traumatic event as central to an individual's story over time. Further longitudinal research is necessary to determine what variables may influence the connection between PTSS and event centrality.

Machine learning prediction of posttraumatic stress disorder trajectories following traumatic injury: Identification and validation in two independent samples.

Due to its heterogeneity, the prediction of posttraumatic stress disorder (PTSD) development after traumtic injury is difficult. Recent machine learning approaches have yielded insight into predicting PTSD symptom trajectories. Using data collected within 1 month of traumatic injury, we applied eXtreme Gradient Boosting (XGB) to classify admitted and discharged patients (hospitalized, n = 192; nonhospitalized, n = 214), recruited from a Level 1 trauma center, according to PTSD symptom trajectories. Trajectories were identified using latent class mixed models on PCL-5 scores collected at baseline, 1-3 months posttrauma, and 6 months posttrauma. In both samples, nonremitting, remitting, and resilient PTSD symptom trajectories were identified. In the admitted patient sample, a unique delayed trajectory emerged. Machine learning classifiers (i.e., XGB) were developed and tested on the admitted patient sample and externally validated on the discharged sample with biological and clinical self-report baseline variables as predictors. For external validation sets, prediction was fair for nonremitting versus other trajectories, areas under the curve (AUC = .70); good for nonremitting versus resilient trajectories, AUCs = .73-.76; and prediction failed for nonremitting versus remitting trajectories, AUCs = .46-.48. However, poor precision (< .57) across all models suggests limited generalizability of nonremitting symptom trajectory prediction from admitted to discharged patient samples. Consistency in symptom trajectory identification across samples supports prior studies on the stability of PTSD symptom trajectories following trauma exposure; however, continued work and replication with larger samples are warranted to understand overlapping and unique predictive features of PTSD in different traumatic injury populations.

The role of pain and socioenvironmental factors on posttraumatic stress disorder symptoms in traumatically injured adults: A 1-year prospective study.

Approximately 20% of individuals who experience a traumatic injury will subsequently develop posttraumatic stress disorder (PTSD). Physical pain following traumatic injury has received increasing attention as both a distinct, functionally debilitating disorder and a comorbid symptom related to PTSD. Studies have demonstrated that both clinician-assessed injury severity and patient pain ratings can be important predictors of nonremitting PTSD; however, few have examined pain and PTSD alongside socioenvironmental factors. We postulated that both area- and individual-level socioeconomic circumstances and lifetime trauma history would be uniquely associated with PTSD symptoms and interact with the pain-PTSD association. To test these effects, pain and PTSD symptoms were assessed at four visits across a 1-year period in a sample of 219 traumatically injured participants recruited from a Level 1 trauma center. We used a hierarchal linear modeling approach to evaluate whether (a) patient-reported pain ratings were a better predictor of PTSD than clinician-assessed injury severity scores and (b) socioenvironmental factors, specifically neighborhood socioeconomic disadvantage, individual income, and lifetime trauma history, influenced the pain-PTSD association. Results demonstrated associations between patient-reported pain ratings, but not clinician-assessed injury severity scores, and PTSD symptoms, R2( fvm ) = .65. There was a significant interaction between neighborhood socioeconomic disadvantage and pain such that higher disadvantage decreased the strength of the pain-PTSD association but only among White participants, R2( fvm ) = .69. Future directions include testing this question in a larger, more diverse sample of trauma survivors (e.g., geographically diverse) and examining factors that may alleviate both pain and PTSD symptoms.

Responding to the Psychological Needs of Health-Care Workers During the COVID-19 Pandemic: Case Study from the Medical College of Wisconsin.

With the advent of the novel coronavirus (COVID-19) pandemic, health-care workers have been faced with an inordinately high level of trauma as frontline providers. The Medical College of Wisconsin (MCW) partnered with affiliate hospitals and community partners to mobilize a matrix of available support and interventions to deliver psychological services to reach all levels of health-care providers in timely, accessible formats. While virtual peer support groups were the most utilized resource among the support group options, other opportunities also provided unique benefits to learners whose education had been disrupted by the pandemic. Mental health must be prioritized for health-care workers in the event of future public health crises. Lessons learned from this pandemic indicate that it is critical to involve learners early on in the process in order to meet their educational needs and to increase access to evidence-based care.

Association of Gender, Race, Mechanism of Injury on Alcohol Use, Posttraumatic Stress Disorder, and Depression in Trauma.

BACKGROUND: There is a paucity of literature documenting whether trauma patients with different mechanisms of injury have different rates of hazardous alcohol use and/or risk for depression and posttraumatic stress disorder. OBJECTIVE: The purpose of this article is to determine whether there are associations between mechanism of injury, hazardous drinking, depression, and posttraumatic stress disorder. Secondary objectives were to examine associations prior to and after the onset of the COVID-19 pandemic. METHODS: This is a retrospective cohort study of 5 years of trauma registry data of adult trauma patients (older than 18 years) admitted to a Midwestern Level I trauma center conducted from January 2016 to November 2020. Multivariable logistic regression analyses were performed to explore the association of gender, race, and mechanism of injury on hazardous drinking and posttraumatic stress disorder and depression. RESULTS: A total of 9,392 trauma patients completed the Alcohol Use Disorders Identification Test-Consumption Items to identify hazardous drinking, and 5,012 completed the Injured Trauma Survivor Screen to identify risk for developing posttraumatic stress disorder and/or depression. The proportion of patients screening positive for hazardous drinking was higher for motor vehicle collisions (21.9%) than for gunshot wounds (17.6%) or falls (18.8%; χ2(2) = 14.311, p < .001). Those involved in motor vehicle collisions were also at a higher risk for the development of depression and posttraumatic stress disorder (54.5%) relative to falls (33.5%) but not gunshot wounds (50.7%; χ2(2) = 200.185, p < .001). The impact of COVID-19 revealed increased hazardous drinking, depression, and posttraumatic stress disorder in patients with falls and motor vehicle collisions but not gunshot wounds. CONCLUSIONS: Motor vehicle collision patients are at most risk for hazardous drinking concomitant with risk for depression and posttraumatic stress disorder. These results help focus future research efforts toward interventions that can reduce these risks.

Personality Characteristics and Acute Symptom Response Predict Chronic Symptoms After Mild Traumatic Brain Injury.

OBJECTIVE: Despite consensus that personality influences mild traumatic brain injury (mTBI) recovery, it has been underexamined. We evaluated the extent to which diverse personality and psychiatric symptom dimensions predict mTBI recovery. METHODS: This prospective cohort study involved psychological assessments of hospital patients with mTBI (n = 75; median = 2 days post-injury, range = 0-12 days) and orthopedic trauma controls (OTC; n = 79) who were used for comparison in mediation modeling. Chronic symptoms were evaluated at 3 months after mTBI (n = 50) using the Sport Concussion Assessment Tool (SCAT) symptom checklist. Linear regression analyses were used to identify the predominant predictors of chronic symptoms in mTBI. Modern mediation analyses tested the hypothesis that personality traits predict chronic symptoms through acute psychological response to injury. RESULTS: In mTBI, trait psychoticism directly predicted chronic mTBI symptoms and was the strongest personality predictor overall. Furthermore, an internalizing personality dimension emphasizing negative affect/emotionality and detachment predicted chronic mTBI symptoms indirectly through enhancement of acute somatic complaints. In OTC, internalizing personality acted through the same mediator as in mTBI, whereas the effect of psychoticism was also mediated through acute somatic complaints. There was varying support for a moderated direct effect of personality traits at low levels of positive emotionality across models. CONCLUSION: These causal models provide novel insights about the role of personality in mTBI symptom recovery, highlighting the complexity of how psychological processes may interact to affect recovery and revealing that some of these processes may be non-specific to brain injury.

Racial Discrimination is Associated with Acute Posttraumatic Stress Symptoms and Predicts Future Posttraumatic Stress Disorder Symptom Severity in Trauma-Exposed Black Adults in the United States.

In the United States, Black residents exposed to a traumatic event are at an increased risk of developing posttraumatic stress disorder (PTSD) and experiencing more severe symptoms compared to their non-Hispanic White counterparts. Although previous work has suggested a link between racial discrimination and PTSD symptoms, no studies have assessed this association in a sample of traumatic injury survivors. The current study investigated whether (a) past racial discrimination was associated with acute posttraumatic stress symptoms (PTSS) and (b) discrimination prospectively contributed to the prediction of future PTSD symptoms. African American and/or Black patients (N = 113) were recruited from an emergency department in southeastern Wisconsin. Patients in the acute postinjury phase (i.e., 2 weeks posttrauma) completed self-report measures, with PTSD symptoms assessed using the Clinician-Administered PTSD Scale at 6-month follow-up. Bivariate associations indicated past racial discrimination was significantly related to acute PTSS. A multiple regression analysis revealed that pretrauma exposure to racial discrimination significantly predicted PTSD symptoms at follow-up, even after controlling for age, gender, previous psychiatric diagnosis, social support, and lifetime trauma history. Our results suggest that experiences of racial discrimination add significant additional risk for PTSD symptom development following traumatic injury, R2 = .16, F(6, 106) = 3.25, p = .006. Broadly, these findings add to the body of empirical evidence and personal testimonies of Black individuals in White-centric societies asserting that racial discrimination affects mental health and overall well-being and further highlight the recent call for racism to be classified as a public health crisis.

A Randomized Trial of Modified Prolonged Exposure to Prevent the Development of Posttraumatic Stress Disorder in Patients Hospitalized With Traumatic Injuries.

Individuals who require hospitalization after traumatic injuries are at increased risk for developing posttraumatic stress disorder (PTSD); however, few early behavioral interventions have been effective at preventing PTSD within this population. The aim of this pilot study was to assess the feasibility and effectiveness of modified prolonged exposure therapy (mPE) to prevent PTSD and depression symptoms among patients hospitalized after a DSM-5 single-incident trauma. Hospitalized patients were eligible if they screened positive for PTSD risk. Participants (N = 74) were randomly assigned in a parallel-groups design to receive mPE (n = 38) or standard of care treatment (SoC; n = 36) while admitted to the hospital after a traumatic injury. Individuals randomized to the intervention condition received one (42.1%), two (36.8%), or three sessions (15.8%) of mPE, mainly depending on length of stay. There were no significant differences between groups regarding PTSD or depression severity at 1- or 3-months posttrauma, except for more PTSD diagnoses in the intervention group after 1 month, ϕ = -.326. Intervention differences were nonsignificant when we took baseline PTSD symptoms and the nonindependence of the repeated measurements within the data into account. No adverse events were reported. Overall, mPE was no more effective than SoC for hospitalized, traumatic injury survivors with a high PTSD risk. The results may point to a need for a stepped-care approach, where intervention protocols focus on first briefly treating individuals who are actively exhibiting acute stress reactions, then extensively treating those whose symptoms do not decrease over time.

Validation of Abbreviated Four- and Eight-Item Versions of the PTSD Checklist for DSM-5 in a Traumatically Injured Sample.

Rates of posttraumatic stress disorder (PTSD) are three times higher in traumatically injured populations than the general population, yet limited brief, valid measures for assessing PTSD symptom severity exist. The PTSD Checklist for DSM-5 (PCL-5) is a valid, efficient measure of symptom severity, but its completion is time consuming. Subsequently, abbreviated four- and eight-item versions were developed using the Mini-International Neuropsychiatric Interview-7 PTSD module and validated in Veteran samples. This study aimed to validate these abbreviated versions using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5), the gold standard for PTSD diagnosis, in a traumatically injured civilian population. Participants were 251 traumatically injured adults (Mage = 42.52 years; 69.3% male; 50.2% Caucasian) recruited from a Level 1 trauma center inpatient unit; 32.3% and 17.9% of participants experienced a motor vehicle crash or gunshot wound, respectively. The CAPS-5 and PCL-5 were administered approximately 6.5 months postinjury. We examined whether compared to the full PCL-5, the abbreviated versions would adequately differentiate between participants with and without a CAPS-5 PTSD diagnosis. The abbreviated versions were highly correlated with the total scale and showed good-to-excellent internal consistency. The diagnostic utility of the abbreviated measures was comparable to that of the total scale regarding sensitivity, suggesting they may be useful as abbreviated screening tools; however, the total scale functioned better regarding specificity. The abbreviated versions of the PCL-5 may be useful screening instruments in the long-term care of traumatic injury survivors and may be more likely to be implemented across routine clinical and research contexts.

Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study.

BACKGROUND: Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. METHODS: We used individual participant data (IPD) from five acute care studies that used both the PDEQ and the CAPS (n = 647). Logistic regression calculated the probability of having CAPS scores ≥ 40 between 30 and 60 days after trauma exposure across the range of initial PDEQ scores, and evaluated the added contribution of age, sex, trauma type, and prior trauma exposure. Brier scores, area under the receiver-operating characteristic curve (AUC), and the mean slope of the calibration line evaluated the accuracy and precision of the predicted probabilities. RESULTS: Twenty percent of the sample had CAPS ≥ 40. PDEQ severity significantly predicted having CAPS ≥ 40 symptoms (p < 0.001). Incremental PDEQ scores produced a reliable estimator of CAPS ≥ 40 likelihood. An individual risk estimation tool incorporating PDEQ and other significant risk indicators is provided. CONCLUSION: Peritraumatic reactions, measured here by the PDEQ, can reliably quantify the likelihood of acute PTSD symptoms predictive of chronic PTSD and requiring clinical attention. Using them as a screener in a stepwise chronic PTSD prediction strategy may reduce the burden of later CAPS-based assessments. Other peritraumatic metrics may perform similarly and their use requires similar validation. TRIAL REGISTRATION: Jerusalem Trauma Outreach and Prevention Study (J-TOPS): NCT00146900.