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OBJECTIVE: Fetal anomalies occur in approximately 3% of pregnancies and receiving the diagnosis may be a potentially traumatic experience for families. The mental health of mothers receiving diagnoses and what predicts resilience or poor mental health is understudied. Emotion regulation is an important, modifiable, transdiagnostic factor of mental health, and may be protective post-diagnosis. Evaluating biomarkers of stress, including IL-6 and Allostatic Load (AL), can also serve as early indicators of risk, indicative of early intervention. This study assessed whether reappraisal, suppression, IL-6, and AL was associated with mental health outcomes and resilience in women after receiving a fetal anomaly diagnosis. METHODS: Pregnant women (N=108) presenting to a fetal concerns clinic for initial consultation completed measures of emotion regulation (i.e., reappraisal and suppression), depression, anxiety, posttraumatic stress symptoms, and resilience between 2019-2022. A blood draw was used to assess IL-6 and create composite allostatic load measure including: IL-6, blood pressure, heart rate, glucose, cortisol, and body mass index. RESULTS: Linear regressions controlling for age, gestational age, and perceived fetal diagnosis severity, demonstrated that IL-6 was negatively associated with resilience and positively associated with depression. Reappraisal was positively associated to resilience and negatively associated with depression, anxiety, and PTSD, whereas state insurance status was positively associated to anxiety and PTS symptoms. Suppression and allostatic load were not significant. CONCLUSIONS: Women experiencing fetal anomaly diagnosis represent an understudied population with unaddressed mental health needs. Reappraisal serves as not only a protective factor, but one that can be enhanced to promote maternal resilience and mental health. Furthermore, elevated IL-6 may be a critical early indicator of potential intervention needs among women who are pregnant, to mitigate negative psychological states and enhance resilience.
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OBJECTIVE: Suicide among farmers has, over the past 20 years, garnered attention from scholars around the world. The purpose of this paper is twofold. First, this paper will present a framework for considering farmer suicide that builds upon the Interpersonal-Psychological Theory of Suicidal Behavior and extends our current explanations of suicide to include a multilevel, multifactorial focus on individual, interpersonal, community and systemic factors at the root of stressors contributing to suicide among farmers. Secondly, a blueprint for farmer suicide prevention, leveraging the Water of Systems Change Model, is proposed. METHOD: In the spirit of conveying multi-layered influence on farmer suicide while highlighting relevant levels for prevention a parsimonious, prevention-based model of farmer suicide is presented. RESULTS: The Water of Systems Change (WSC) model incorporates research to bring attention to the community, organizational, and societal conditions that keep a problem, such as farmer suicide, from being eradicated. CONCLUSION: Suicide is a societal issue that requires a multi-level response. Farmer suicide is a particular concern, as farmers provide for and support all of us. It is incumbent upon public health and the community-at-large to improve our policies, systems, and contexts to create an environment in which farmers are also provided for and supported.
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Background: This project analyzed risk factors for emergency department (ED) utilization without readmission within 2 weeks post-discharge for survivors of gun violence. Methods: A hundred gun violence survivors admitted to a Level 1 trauma center were surveyed. Descriptive analyses and group comparisons were conducted between patients who did and did not use the ED. Factors analyzed are rooted in social determinants of health and clinical care related to the index hospitalization. Results: Of the 100 patients, 31 had an ED visit within 6 weeks, although most (87.1%) returned within 2 weeks of discharge. Factors significantly associated (p≤0.05) with a return ED visit included: not having an identified primary care provider, not having friends or family to count on for help, not having enough money to support themselves before return to work, and not feeling able to read discharge instructions. Conclusion: Lack of a primary care provider, low health literacy and social support were associated with increased ED visits without readmission post-discharge. Level of Evidence: Level III, Prognostic and Epidemiological.
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BACKGROUND: Cure Violence interruption programs are evidence-based interventions aimed at reducing the transmission of gun violence and its related injuries. Assessing the implementation of these programs can include the metric of "reach." This study evaluated one such program - 414LIFE - in Milwaukee, Wisconsin. The evaluation reconceptualized "reach" as a metric for reaching the individuals and neighborhoods at greatest risk for gun violence. METHODS: 414LIFE's reach was analyzed descriptively and geospatially through its program evaluation dataset from May 2019 through September 2020 using a cross-sectional design. Program referral criteria includes patients who sustained a gunshot wound, are less than 36 years old, and a resident of, or injured in, the city of Milwaukee. A choropleth map visualized location of participants' residence, which justified a global Moran's I, and then a local Moran's I calculation to identify statistically significant clustering of referrals. RESULTS: In the first 1.5 years of the program's partnership with the local level I trauma center and affiliated academic medical institution, 398 patients were referred. Three hundred referrals (75.4%) met program criteria; 53.8% were Black men. Statistically significant clusters were identified and mapped. Half of the top 10 neighborhoods with referrals were the city's identified priority neighborhoods. CONCLUSIONS: 414LIFE successfully reaches its intended population and geographic locations. Geospatial reach should be considered routinely in program evaluations of Cure Violence programs to track growth and reach over time.
Subject(s)
Program Evaluation , Humans , Wisconsin , Male , Cross-Sectional Studies , Female , Adult , Gun Violence , Adolescent , Wounds, Gunshot , Residence CharacteristicsABSTRACT
BACKGROUND: Posttraumatic stress disorder (PTSD) is a common consequence of traumatic injury, yet certain biological factors contributing to PTSD are poorly understood. The gut microbiome may influence mental health outcomes, but its role in heterogeneous PTSD presentations requires elucidation. METHODS: Bacterial composition was examined in adults 2-4 years post-trauma with probable PTSD (n = 24) versus trauma-exposed controls without probable PTSD (n = 24). 16S rRNA sequencing and bioinformatic tools assessed microbial diversity and abundance. Relationships between taxa and PTSD symptom clusters were evaluated. RESULTS: No differences were found in overall microbial community structure between groups. The probable PTSD group exhibited significantly reduced Actinobacteriota and increased Verrucomicrobiota phylum abundance compared to controls. Specific taxa showed notable inverse associations with negative mood/cognition versus hyperarousal symptoms. Prevotella and Ruminococcaceae were negatively associated with negative mood but positively associated with hyperarousal. CONCLUSIONS: Results demonstrate microbial signatures of probable PTSD subtypes, highlighting the microbiome as a potential mediator of heterogeneous trauma psychopathology. Definition of PTSD microbial correlates provides a foundation for personalized psychobiotic interventions targeting predominant symptom profiles.
Subject(s)
Gastrointestinal Microbiome , Stress Disorders, Post-Traumatic , Survivors , Humans , Stress Disorders, Post-Traumatic/microbiology , Stress Disorders, Post-Traumatic/psychology , Male , Female , Adult , Middle Aged , Survivors/psychology , RNA, Ribosomal, 16S/genetics , Wounds and Injuries/psychology , Wounds and Injuries/microbiology , Wounds and Injuries/complications , Case-Control StudiesABSTRACT
BACKGROUND: Predisposing factors for traumatic injuries are complex and variable. Neighborhood environments may influence injury mechanism or outcomes. The Social Vulnerability Index (SVI) identifies areas at risk for emergencies; Area Deprivation Index (ADI) measures socioeconomic disadvantage. The objective was to assess the impact of SVI or ADI on hospital length of stay (LOS) and mortality for injured patients to determine whether SVI or ADI indicated areas where injury prevention may be most impactful. METHODS: Adult patients who resided in Milwaukee County and were treated for injuries from 2015 to 2022 at a level I trauma center were included. Patients' addresses were geocoded and merged with 2020 state-level SVI and ADI measures. SVI ranks census tracts 0-100 from least to most vulnerable. ADI ranks census block groups 1-10 from least to most disadvantaged. ADI and SVI rankings were converted to deciles. Statistical analyses included descriptive statistics, chi-square tests, and regression models for LOS and in-hospital mortality, adjusted for either SVI or ADI within separate models, age, sex, race or ethnicity, mechanism of injury (MOI), injury severity score (ISS). RESULTS: 14,542 patients were included; 63 % were male. Mean total hospital LOS was 6.4 ± 9.8 days, and in-hospital mortalities occurred in 5.2 % of patients. Based on SVI and ADI, 5,280 (36 %) patients resided in high vulnerability areas and 5,576 (39 %) lived in highly disadvantaged areas, respectively. After adjusting for patient factors, SVI deciles #6, 9, 10 were associated with increased hospital LOS, and SVI decile #5 was associated with in-hospital mortality (OR = 2.22, 95 %CI:1.06-4.63; p = 0.034). When adjusted for ADI, the 7th-10th deciles were associated with increased hospital LOS. Greater age and ISS were associated with increased hospital LOS and mortality when adjusted for SVI and ADI. CONCLUSIONS: SVI and ADI identified a similar proportion of patients in high vulnerability or disadvantaged areas. Higher SVI and ADI deciles were associated with longer hospital LOS, and only the 5th SVI decile was associated with in-hospital mortality. Highly disadvantaged or vulnerable areas may have a longer LOS, but SVI and ADI have limited influence on trauma mortality. Continued research on neighborhood and community factors and trauma outcomes is needed.
Subject(s)
Hospital Mortality , Injury Severity Score , Length of Stay , Trauma Centers , Vulnerable Populations , Wounds and Injuries , Humans , Male , Female , Length of Stay/statistics & numerical data , Adult , Middle Aged , Wounds and Injuries/mortality , Wounds and Injuries/epidemiology , Vulnerable Populations/statistics & numerical data , Trauma Centers/statistics & numerical data , Aged , Residence Characteristics , Socioeconomic Factors , Social Deprivation , Young Adult , Healthcare Disparities/statistics & numerical dataABSTRACT
OBJECTIVE: Childhood maltreatment is indisputably linked to adverse mental health outcomes, including an increased risk to develop posttraumatic stress disorder (PTSD) in adulthood. The role of childhood maltreatment in the context of recovery from a trauma later in adulthood is not well understood. A variable related to both childhood maltreatment and PTSD symptoms, and a potential link between the two, is sleep. The current study aimed to understand how sleep disturbances may play a mechanistic role in the effect of subtypes of childhood maltreatment on PTSD symptom severity in an adult trauma sample. METHOD: 160 adults (90 women; Mage = 33.73, SD = 10.86) were recruited from the emergency department at a Level-1 trauma center in southeastern Wisconsin after experiencing a traumatic injury. Experiences of childhood maltreatment and sleep were self-reported at 2-week and 3-month posttrauma, respectively. PTSD symptoms were clinically assessed 6 months later. RESULTS: Sleep disturbances 3-month posttrauma mediated the effect of emotional abuse, physical neglect, and emotional neglect on PTSD symptom 6 months after the traumatic injury. The effect of sexual and physical abuse on PTSD symptoms was not significantly mediated by sleep disturbances. CONCLUSIONS: These findings highlight the differential impact of subtypes of childhood maltreatment on PTSD symptoms, the mechanistic role of sleep, and the need to consider early life adversity when assessing adult posttrauma experiences. These results also suggest that interventions aimed at improving sleep quality might improve PTSD symptoms in those who have experienced childhood maltreatment and a subsequent traumatic injury in adulthood. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Background: Childhood abuse (physical, emotional, and sexual) is associated with aberrant connectivity of the amygdala, a key threat-processing region. Heightened amygdala activity also predicts adult anxiety and posttraumatic stress disorder (PTSD) symptoms, as do experiences of childhood abuse. The current study explored whether amygdala resting-state functional connectivity may explain the relationship between childhood abuse and anxiety and PTSD symptoms following trauma exposure in adults. Methods: Two weeks posttrauma, adult trauma survivors (n = 152, mean age [SD] = 32.61 [10.35] years; women = 57.2%) completed the Childhood Trauma Questionnaire and underwent resting-state functional magnetic resonance imaging. PTSD and anxiety symptoms were assessed 6 months posttrauma. Seed-to-voxel analyses evaluated the association between childhood abuse and amygdala resting-state functional connectivity. A mediation model evaluated the potential mediating role of amygdala connectivity in the relationship between childhood abuse and posttrauma anxiety and PTSD. Results: Childhood abuse was associated with increased amygdala connectivity with the precuneus while covarying for age, gender, childhood neglect, and baseline PTSD symptoms. Amygdala-precuneus resting-state functional connectivity was a significant mediator of the effect of childhood abuse on anxiety symptoms 6 months posttrauma (B = 0.065; 95% CI, 0.013-0.130; SE = 0.030), but not PTSD. A secondary mediation analysis investigating depression as an outcome was not significant. Conclusions: Amygdala-precuneus connectivity may be an underlying neural mechanism by which childhood abuse increases risk for anxiety following adult trauma. Specifically, this heightened connectivity may reflect attentional vigilance for threat or a tendency toward negative self-referential thoughts. Findings suggest that childhood abuse may contribute to longstanding upregulation of attentional vigilance circuits, which makes one vulnerable to anxiety-related symptoms in adulthood.
Experiences of childhood abuse are related to long-term mental health outcomes, but the mechanisms of this relationship have been unclear. In this study of adult trauma survivors, Harb et al. found that experiences of childhood abuse are related to abnormal connectivity patterns of the amygdala, a key region for fear and threat processing, and precuneus. These connectivity patterns were identified as a mechanism through which experiences of child abuse are related to adult anxiety symptoms posttrauma. These findings advance our understanding of the specific downstream impacts of experiencing childhood abuse and can inform targeted assessment and intervention methods, especially in an adult trauma sample.
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Anhedonia describes the inability or difficulty of experiencing or seeking pleasure. Previous research has demonstrated a relationship between posttraumatic stress disorder (PTSD) or experiencing trauma and anhedonia symptoms; however, little to no work has been done to understand the evolution of anhedonia symptoms after trauma. We aimed to identify anhedonia trajectories following traumatic injury. One hundred ninety-five participants were recruited from the emergency department of a Level-1 Trauma Center after experiencing a traumatic injury. To measure anhedonia symptoms, participants completed the Snaith-Hamilton Pleasure Scale (SHAPS) at 2-weeks, 3-months, and 6-months post-injury. Using latent class mixture modeling, we ran a trajectory analysis with three timepoints of SHAPS scores and compared mental and physical health outcomes across trajectories. Most of the sample fell in the resilient trajectory (85%), while the remainder were in a remitting trajectory (7%) where symptoms decreased over time, and a delayed (6%) trajectory where symptoms did not emerge until 3-months after injury. In the resilient trajectory, there was consistently low levels of PTSD, pain, depression, and anxiety relative to the other trajectories. In the delayed trajectory, depression and PTSD were chronically elevated and pain levels were consistent but mild. In the remitting trajectory, PTSD and depression symptoms decreased over time. Identified anhedonia trajectories mirrored trajectories commonly reported for PTSD symptoms after injury. Evaluating anhedonia trajectories and how they relate to mental health outcomes may inform targeted interventions for traumatic injury patients.
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BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. OBJECTIVE: This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies. METHODS: We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health. RESULTS: While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health. CONCLUSIONS: The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.
Subject(s)
Machine Learning , Humans , Wisconsin/epidemiology , Female , Male , Mental Health/statistics & numerical data , Health Status Disparities , Spatial Analysis , Adult , Systemic Racism/statistics & numerical data , Systemic Racism/psychology , Racism/statistics & numerical data , Racism/psychology , Middle AgedABSTRACT
INTRODUCTION: Fatality review is a public health approach designed to inform efforts to prevent fatalities of a certain kind (e.g., suicide, homicide) or in a specific setting or population (e.g., hospitals, youth). Despite extensive literature on fatality review generally, the literature on suicide review teams specifically is scant. The aim of this paper is to: describe the implementation of a local adult suicide review commission, detail examples of initial outcomes and recommendations developed by the commission, and provide recommendations and/or best practices for how to develop and implement an adult suicide review team. METHODS: We utilize framing questions from the American Association of Suicidology's psychological autopsy framework. By using these guiding questions in the discussion, members are invited to explore not only the stressors that may have more immediately preceded the suicide event itself, but to situate those stressors in the context of the individual's life course. RESULTS: Several recommendations proposed by our commission have resulted in tangible outcomes and are detailed using Haddon's Matrix as a guiding prevention planning tool. IMPLICATIONS: We have highlighted the need to move beyond looking at individual-level help-seeking to focus on structural/systemic issues that result in stress or create unsafe environments for at-risk individuals.
Subject(s)
Suicide Prevention , Humans , Adult , Suicide/psychologyABSTRACT
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.
Subject(s)
Black or African American , Racism , Stress Disorders, Post-Traumatic , Humans , Stress Disorders, Post-Traumatic/psychology , Stress Disorders, Post-Traumatic/epidemiology , Stress Disorders, Post-Traumatic/ethnology , Racism/psychology , Male , Female , Black or African American/psychology , Black or African American/statistics & numerical data , Adult , United States/epidemiology , Middle Aged , Resilience, Psychological , Young Adult , Wounds and Injuries/psychology , Wounds and Injuries/ethnology , Wounds and Injuries/epidemiology , Risk Factors , Hospitalization/statistics & numerical dataABSTRACT
BACKGROUND: Persons of low socioeconomic status are overrepresented in the firearm injury patient population and may experience challenges in accessing complex outpatient health systems. Consequently, outpatient care for these patients is plagued by poor follow-up and increased emergency department (ED) utilization. We developed a Post Discharge Care Team (PDCT) consisting of a dedicated trauma nurse navigator and medical social worker to bridge the gap between hospital discharge and outpatient care to improve recovery. METHODS: Adult firearm injury survivors admitted to the trauma service were randomized 1:1 to receive either PDCT services or standard of care (SOC) workflows. The PDCT nurse provided education and set expectations regarding injuries, wound care, and outpatient follow-up. The PDCT social worker performed a comprehensive assessment to identify concerns including housing and financial instability, food insecurity, or transportation issues. The primary outcome was ED utilization, with secondary outcomes including readmissions and overall health care costs compared between groups. RESULTS: In the first 6 months of the study, a total of 44 patients were randomized to PDCT and 47 to SOC. There were 10 patients who visited the ED in the PDCT group compared with 16 in the SOC group ( p = 0.23) for a total of 14 and 23 ED visits, respectively. There were 14 patients in the PDCT and 11 patients in the SOC groups who were readmitted ( p = 0.31), but the PDCT group was readmitted for 27.9 fewer hospital days. After accounting for programmatic costs, the PDCT had a hospital savings of $34,542.71. CONCLUSION: A collaborative, specialized PDCT for firearm injury survivors consisting of a dedicated trauma nurse navigator and medical social worker decreased outpatient ED utilization, readmission days, and was cost effective. Trauma centers with high volumes of penetrating trauma should consider a similar model to improve outpatient care for firearm injury survivors. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.
Subject(s)
Emergency Service, Hospital , Patient Discharge , Patient Readmission , Wounds, Gunshot , Humans , Wounds, Gunshot/therapy , Wounds, Gunshot/economics , Male , Emergency Service, Hospital/statistics & numerical data , Emergency Service, Hospital/economics , Female , Adult , Pilot Projects , Patient Readmission/statistics & numerical data , Patient Readmission/economics , Patient Discharge/statistics & numerical data , Middle Aged , Patient Care Team/organization & administration , Patient Care Team/economics , Survivors/statistics & numerical data , Trauma Centers/economicsABSTRACT
BACKGROUND: The American College of Surgeons Committee on Trauma (ACS-CoT) mandated that trauma centers have mental health screening and referral protocols in place by 2023. This study compares the Injured Trauma Survivor Screen (ITSS) and the Automated Electronic Medical Record (EMR) Screen to assess their performance in predicting risk for posttraumatic stress disorder (PTSD) within the same sample of trauma patients to inform trauma centers' decision when selecting a tool to best fit their current clinical practice. METHODS: This was a secondary analysis of three prospective cohort studies of traumatically injured patients (N = 255). The ITSS and Automated EMR Screen were compared using receiver operating characteristic curves to predict risk of subsequent PTSD development. PTSD diagnosis at 6-month follow-up was assessed using the Clinician Administered PTSD Scale for DSM-5. RESULTS: Just over half the sample screened positive on the ITSS (57.7%), while 67.8% screened positive on the Automated EMR Screen. The area under the curve (AUC) for the two screens was not significantly different (ITSS AUC = 0.745 versus Automated EMR Screen AUC = 0.694, p = 0.21), similar performance in PTSD risk predication within the same general trauma population. The ITSS and Automated EMR Screen had similar sensitivities (86.5%, 89.2%), and specificities (52.5%, 40.9%) respectively at their recommended cut-off points. CONCLUSION: Both screens are psychometrically comparable. Therefore, trauma centers considering screening tools for PTSD risk to comply with the ACS-CoT 2023 mandate should consider their local resources and patient population. Regardless of screen selection, screening must be accompanied by a referral process to address the identified risk.
Subject(s)
Stress Disorders, Post-Traumatic , Humans , Stress Disorders, Post-Traumatic/epidemiology , Prospective Studies , Psychometrics , Mass Screening/methods , ROC CurveABSTRACT
Background: Outpatient follow-up represents a crucial opportunity to re-engage with gun violence survivors (GVS) and to facilitate positive health outcomes. Current outpatient models for firearm-related injuries and trauma care are inconsistent and unstandardized across trauma centers. This project describes the patient population served by the multidisciplinary Trauma Quality of Life (TQoL) Clinic for GVS. Also of primary interest was the outpatient follow-up services used by patients prior to their clinic appointment. Subsequent referrals placed during Clinic, as well as rate of attendance, was a secondary aim. Methods: This was a descriptive retrospective analysis of a quality improvement project of the TQoL Clinic. Data were extracted from the electronic medical record and were supplemented with information from the trauma registry and the hospital-based violence intervention program database. Descriptive statistics characterized the patient population served. A Χ2 analysis was used to compare no-show rates for the TQoL Clinic against two historical cohorts of trauma clinic attendees. Results: Most attendees were young (M=32.0, SD=1.8, range=15-88 years), Black (80.1%), and male (82.0%). Of the 306 total TQoL Clinic attendees, 82.3% attended their initial scheduled appointment. Most non-attendee patients rescheduled their appointments (92.1%), and 89.5% attended the rescheduled appointment. TQoL Clinic demonstrated a significantly lower no-show rate than the traditional trauma clinic model, including after the implementation of the hospital's inpatient violence intervention program (χ2(2)=75.52, p<0.001). Conclusion: The TQoL Clinic has demonstrated improved outpatient follow-up to address the comprehensive needs of GVS. Trauma centers with high gunshot wound volume should consider the implementation of the multidisciplinary TQoL Clinic model to increase access to care and to continue partnership with violence intervention programs to address health outcomes in those most at risk of future morbidity and mortality. Level of evidence: Therapeutic/care management, level III.
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BACKGROUND: Childhood maltreatment is associated with reduced activation of the nucleus accumbens, a central region in the reward network, and overactivity in the amygdala, a key region in threat processing. However, the long-lasting impact of these associations in the context of later-life stress is not well understood. The current study explored the association between childhood threat and deprivation and functional connectivity of threat and reward regions in an adult trauma sample. METHODS: Trauma survivors (N = 169; mean age [SD] = 32.2 [10.3] years; female = 55.6%) were recruited from a level I trauma center. Two weeks after injury, participants completed the Childhood Trauma Questionnaire (measuring experiences of threat and deprivation) and underwent resting-state functional magnetic resonance imaging. Seed-to-voxel analyses evaluated the effect of childhood threat and deprivation on amygdala and nucleus accumbens resting-state connectivity. RESULTS: Higher levels of threat were associated with increased connectivity between the right nucleus accumbens with temporal fusiform gyrus/parahippocampal gyrus and the left amygdala and the precuneus (false discovery rate-corrected p < .05). After controlling for posttraumatic symptoms 2 weeks posttrauma and lifetime trauma exposure, only the nucleus accumbens findings survived. There were no significant relationships between experiences of childhood deprivation and amygdala or nucleus accumbens connectivity. CONCLUSIONS: Experiences of threat are associated with increased nucleus accumbens and amygdala connectivity, which may reflect a preparedness to detect salient and visual stimuli. This may also reflect a propensity toward dysregulated reward processing. Overall, these results suggest that childhood threat may be contributing to aberrant neural baseline reward and threat sensitivity later in life in an adult trauma sample.
Subject(s)
Magnetic Resonance Imaging , Nucleus Accumbens , Psychological Tests , Self Report , Humans , Adult , Female , Child , Nucleus Accumbens/physiology , Amygdala , RewardABSTRACT
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.
Subject(s)
Racism , Stress Disorders, Post-Traumatic , Humans , Trauma Centers , Black People/genetics , Stress Disorders, Post-Traumatic/genetics , Stress Disorders, Post-Traumatic/diagnosis , Gene Expression/geneticsABSTRACT
OBJECTIVE: Given the prevalence and significant burden of posttraumatic stress disorder (PTSD), identifying early predictors of symptom development following trauma is critical. PTSD is a heterogeneous disorder comprised of distinct symptom clusters-reexperiencing, avoidance, negative mood, and hyperarousal-that contribute to the broad range of possible symptom profiles. Affective and attentional regulation processes, such as emotional conflict detection, are impaired in individuals with PTSD; however, the neural mechanisms underlying these alterations and their predictive utility for the development of PTSD symptoms remain unclear. METHOD: Traumatic injury survivors (N = 49) without traumatic brain injury were recruited from the emergency department of an urban, Level-1 trauma center. Within 1 month of trauma exposure, participants completed a well-characterized emotional conflict task during a functional magnetic resonance imaging scan. Participants returned 6-month later for a clinical assessment of PTSD symptoms. Using a region-of-interest mask derived from whole-brain voxelwise analyses during emotional conflict detection (vs. no emotional conflict detection) we examined whether differential neural activity predicted 6-month PTSD symptom cluster severity. RESULTS: Greater activation of the right middle frontal gyrus during emotional conflict detection prospectively predicted lower PTSD avoidance symptom severity 6 months later (above and beyond the effects of self-reported baseline PTSD and depressive symptoms, previous traumatic life events, racial discrimination, age, sex, and injury severity). CONCLUSIONS: Neural processes of emotion conflict detection measured in the early aftermath of a potentially traumatic event are useful as predictors for the development of PTSD symptoms. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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.
Subject(s)
Stress Disorders, Post-Traumatic , Humans , Stress Disorders, Post-Traumatic/diagnostic imaging , Reproducibility of Results , Big Data , Neuroimaging , Magnetic Resonance Imaging/methods , Brain/diagnostic imagingABSTRACT
BACKGROUND: Monitoring suicide rates is an important public health strategy to inform prevention efforts. We describe rates of adult suicide in Milwaukee County, Wisconsin, over a 19-year period. METHODS: Data on all adult suicides from 2002 through 2020 (n = 981) were obtained from the Milwaukee County Medical Examiner's Office. Subpopulation rates were identified using the Wisconsin Interactive Statistics on Health System. RESULTS: Suicide rates increased significantly over the study period, with disproportionate increases among Black and Latinx residents. DISCUSSION: Expanded prevention efforts are needed to reverse this concerning trend. Further research should guide development of culturally relevant interventions, provide data for the equitable allocation of limited resources.