Posttraumatic Stress Disorder Cases Research Articles

Editorial

This spring we are facing a real weather rollercoaster and the geopolitical situation still triggers many concerns. I hope that lecture of the new issue of Archives of Psychiatry and Psychotherapy will feed our brains with new research update and bring some quality-relaxing time. In difficult times, we need to strenghten our skills to reinforce our general and mental health. The health- and resilience- oriented perspectives are investigated by Magdalena Gawrych et al. who draw our attention to the role of connectedness and coping strategies in the mental health model. In cases when traumatizing events appear, it is crucial to evoke one’s potential towards recovery and use evidence based treatments in case of negative health outcomes such as posttraumatic stress disorder (PTSD). Dialectical Behavior Therapy (DBT) has been established as one of the methods that can be successfully used in PTSD cases, also with co-occuring borderline personality disorder – for more information read the recent paper by Michałowska and Chęć.

Prevalence and concordance of International Classification of Diseases-11th Revision and Diagnostic and Statistical Manual-Fifth Edition posttraumatic stress diagnostics among Northern Irish military veterans.

There are two primary competing diagnostic criteria for posttraumatic stress disorder (PTSD); the International Classification of Diseases (ICD) and the Diagnostic and Statistical Manual (DSM). These systems differ in terms of the number and nature of PTSD symptoms, the implied latent structure of the disorder, and associated posttraumatic diagnostic classifications. To investigate the prevalence and concordance of ICD-11th Revision (ICD-11) and DSM-Fifth Edition (DSM-5) PTSD, complex-PTSD (C-PTSD), and dissociative subtype of PTSD (D-PTSD) criteria in a sample of Northern Irish military veterans. Data were collected from a community sample of military veterans living in Northern Ireland (NI). Prevalence rates of ICD-11 PTSD and C-PTSD and DSM-5 PTSD and D-PTSD were estimated using validated self-report measures for each system. Concordance of caseness determined by diagnostic criteria was compared using Cohen's kappa. The DSM-5 algorithm criteria produced significantly higher prevalence estimates of PTSD (39.26%) relative to the ICD-11 algorithm criteria (32.09%). Both C-PTSD and D-PTSD were identified for subgroups within the sample (24.66% and 27.96%, respectively). There was moderate agreement between the diagnostic systems regarding PTSD caseness, and between C-PTSD and D-PTSD caseness. These findings have implications regarding the measurement of PTSD and associated diagnostic groupings for the wider literature, suggesting that the choice of diagnostic screening framework may influence classification. Both C-PTSD and D-PTSD may be relevant diagnostic considerations for the NI military veteran group. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Post-Traumatic Stress Disorder and Complex Post-Traumatic Stress Disorder in People with Long COVID, ME/CFS, and Controls

BackgroundPrevalences of post-traumatic stress disorder (PTSD) and complex post-traumatic stress disorder (CPTSD) have not previously been compared between individuals with long coronavirus disease (COVID) and individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and healthy age-matched controls. For these reasons, this study aimed to determine the prevalence of PTSD and CPTSD in individuals with long COVID (n = 21) and ME/CFS (n = 20) and age-matched controls (n = 20). MethodsA case-case-control approach was employed; participants completed the International Trauma Questionnaire, a self-report measure of the International Classification of Diseases of PTSD and CPTSD consisting of 18 items. Scores were calculated for each PTSD and Disturbances in Self-Organization (DSO) symptom cluster and summed to produce PTSD and DSO scores. PTSD was diagnosed if the criteria for PTSD were met but not DSO, and CPTSD was diagnosed if the criteria for PTSD and DSO were met. Moreover, each cluster of PTSD and DSO were compared among individuals with long COVID, ME/CFS, and healthy controls. ResultsIndividuals with long COVID (PTSD = 5%, CPTSD = 33%) had more prevalence of PTSD and CPTSD than individuals with ME/CFS (PTSD = 0%, CPTSD = 20%) and healthy controls (PTSD = 0%, CPTSD = 0%). PTSD and CPTSD prevalence was greater in individuals with long COVID and ME/CFS than controls. Individuals with long COVID had greater values controls for all PTSD values. Moreover, individuals with long COVID had greater values than controls for all DSO values. Individuals with ME/CFS had greater values than controls for all DSO values. Both long COVID and ME/CFS groups differed in overall symptom scores compared with controls. ConclusionFindings of this study demonstrated that individuals with long COVID generally had more cases of PTSD and CPTSD than individuals with ME/CFS and healthy controls.

Serious life events and associated PTSD in Gambian girls exposed to female genital cutting.

Poor mental health, such as post-traumatic stress disorder (PTSD), has been reported after female genital cutting (FGC). However, data documenting adverse consequences of FGC have insufficiently considered confounding factors, such as other traumatising events. Here, we examined the extent to which FGC versus other serious life events disturbed Gambian girls subjected to FGC. We additionally assessed the prevalence of PTSD and the extent to which it was attributed to FGC versus other serious life events. We conducted a cross-sectional study with a community-based sample of 12 years-old Gambian girls who had been subjected to FGC (N = 125). Using structured interviews, we assessed serious life events and probable PTSD related to the event that the girls cited as bothering them the most. Most of the girls reported several serious life events in addition to FGC, such as witnessing violence, experiencing violence or assaults, death of a close relative, and being exposed to natural disasters or serious accidents, for an average 4.5 events per girl. Around one-sixth of the girls (16.8%) stated that FGC was the event that currently bothered them the most, whereas the majority (75.2%) emphasised other experiences. The girls who said they were most troubled by other events reported more impaired daily functioning than those most bothered by FGC. Overall, we found a prevalence of probable PTSD of 19.2%. Of 24 PTSD cases, one was attributed to the experience of FGC, and the remaining 23 were attributed to other events. Our findings indicate that FGC is less important than other serious life events in explaining high rates of PTSD in Gambian girls. Associations established in the field between FGC and adverse mental health must be interpreted with caution because girls who have undergone FGC may be severely exposed to other traumatising events.

Associations between post-traumatic stress disorders and psychotic symptom severity in adult survivors of developmental trauma: a multisite cross-sectional study in the UK and South Korea

Childhood maltreatment is a risk factor for the development of post-traumatic stress disorders and psychosis. However, the association between post-traumatic stress disorder (PTSD), including complex PTSD, and psychotic symptoms is unknown. We investigated whether the presence of PTSD and complex PTSD was associated with psychotic symptom severity within survivors of developmental trauma. As part of the Investigating Mechanisms underlying Psychosis Associated with Childhood Trauma (IMPACT) study, from Aug 20, 2020, to Jan 24, 2021, and from Sept 9, 2022, to Feb 21, 2023, using study advertisement on online platforms we recruited adult (≥18 years) participants who had experienced developmental trauma without a psychiatric diagnosis in the UK and South Korea. We measured whether participants met diagnostic thresholds for PTSD and complex PTSD using the self-reported International Trauma Questionnaire, and psychotic symptoms using the self-reported Community Assessment of Psychic Experiences. We used linear regression, adjusting for sociodemographic variables such as age, sex, ethnicity, educational attainment, and socioeconomic status, to examine whether there was an association between PTSD and complex PTSD and psychotic symptoms. The study is registered in the UK (University College London Research Ethics Committee [14317/001] and the National Health Service Research Ethics Committee [22/YH/0096]) and South Korea (Institutional Review Board of Seoul National University Bundang Hospital [B-2011-648-306]), and is ongoing. Of the 2675 participants who took part in the study, 1273 had experienced developmental trauma and were included in the study in the UK (n=475) and South Korea (n=798), comprising 422 (33%) men and 851 (67%) women with a mean age of 26·9 years (SD 6, range 18-40), mostly of White British (n=328) or South Korean (n=798) ethnicity. We found no significant association between PTSD and psychotic symptom severity (total severity β=-2·40 [SE 3·28], p=0·47), compared with participants who did not meet PTSD or complex PTSD caseness. We found a significant relationship between complex PTSD and psychotic symptom severity (total severity β=22·62 [SE 1·65], p<0·0001), including for positive (β=12·07 [SE 0·99], p<0·0001) and negative symptoms (β=10·5 [SE 0·95], p<0·0001), compared with participants who did not meet PTSD or complex PTSD caseness. Health systems must assess individuals with previous developmental trauma for complex PTSD and treat those affected. These individuals should also be assessed for psychotic symptoms, and if necessary, preventative measures should be taken to reduce risk of conversion. Further work should assess whether treating complex PTSD modifies the risk of conversion to psychosis. UKRI Future Leaders Fellowship, British Medical Association Margaret Temple Award for Schizophrenia Research, and the National Research Foundation of Korea-Korea Government.

New progress in an old debate? Applying the DSM-5 criteria to assess traumatic events and stressor-related disorders in cancer survivors.

The rather broad definition of medical trauma within DSM-IV has contributed to long-lasting debates on the applicability of Posttraumatic Stress Disorder (PTSD) in oncological patients and its differentiation from Adjustment Disorder (AjD) which results from non-traumatic critical life events. The DSM-5 criteria have introduced a narrower definition of medical traumatization. However, studies on updated prevalence rates in cancer patients are missing. Within a cross-sectional study, we assessed hematological cancer survivors using the Structured Clinical Interview for DSM-5. We investigated (i) the frequency and type of cancer-related stressors, (ii) the proportion of stressors qualifying as traumatic according to DSM-5 (i.e., an event of sudden and catastrophic character) and (iii) the prevalence of PTSD, AjD and cancer-related PTSD according to DSM-5. 291 patients participated (response rate: 58%). Mean age was 54years, 60% were male. 168 patients (59%) reported cancer-related stressors, with the most frequent being cancer diagnosis disclosure (n=58, 27%). Eight percent of reported stressors qualified as traumatic events according to DSM-5. Five (1.8%), 15 (5.3%) and 20 (7.0%) cancer survivors met DSM-5 criteria for current PTSD, lifetime PTSD and AjD, respectively. Among all PTSD cases, three were cancer-related (1.1%). In addition, seven patients (2.5%) metall symptoms for cancer-related PTSD, but not the DSM-5 criterion for medical trauma. Considering receiving the cancer diagnosis as traumatic event, which is debatable according to DSM-5, 38% of stressors qualified as traumatic and six patients (2.1%) met criteria for cancer-related PTSD. DSM-5 criteria enable a clear identification of traumatic events in the context of cancer. This change may inform discussions on the appropriateness of PTSD in cancer patients and facilitates its differentiation from AjD. Larger studies need to validate our findings.

Identifying genetic loci that are associated with changes in gene expression in PTSD in a South African cohort.

The molecular mechanisms underlying posttraumatic stress disorder (PTSD) are yet to be fully elucidated, especially in underrepresented population groups. Expression quantitative trait loci (eQTLs) are DNA sequence variants that influence gene expression, in a local (cis-) or distal (trans-) manner, and subsequently impact cellular, tissue, and system physiology. This study aims to identify genetic loci associated with gene expression changes in a South African PTSD cohort. Genome-wide genotype and RNA-sequencing data were obtained from 32 trauma-exposed controls and 35 PTSD cases of mixed-ancestry, as part of the SHARED ROOTS project. The first approach utilised 108 937 single-nucleotide polymorphisms (SNPs) (MAF > 10%) and 11 312 genes with Matrix eQTL to map potential eQTLs, while controlling for covariates as appropriate. The second analysis was focused on 5638 SNPs related to a previously calculated PTSD polygenic risk score for this cohort. SNP-gene pairs were considered eQTLs if they surpassed Bonferroni correction and had a false discovery rate <0.05. We did not identify eQTLs that significantly influenced gene expression in a PTSD-dependent manner. However, several known cis-eQTLs, independent of PTSD diagnosis, were observed. rs8521 (C > T) was associated with TAGLN and SIDT2 expression, and rs11085906 (C > T) was associated with ZNF333 expression. This exploratory study provides insight into the molecular mechanisms associated with PTSD in a non-European, admixed sample population. This study was limited by the cross-sectional design and insufficient statistical power. Overall, this study should encourage further multi-omics approaches towards investigating PTSD in diverse populations.

A network analysis investigating the associations between posttraumatic stress symptoms, markers of inflammation and metabolic syndrome

Chronic systemic inflammation has been implicated in trauma exposure, independent of a psychiatric diagnosis, and in posttraumatic stress disorder (PTSD) and its highly comorbid conditions, such as metabolic syndrome (MetS). The present study used network analysis to examine the interacting associations between pro-inflammatory cytokines, posttraumatic stress (PTS) symptoms and symptom clusters, and individual components of MetS, in a cohort of 312 participants (n = 139 PTSD cases, n = 173 trauma-exposed controls). Pro-inflammatory cytokines were measured in serum samples using immunoturbidimetric and multiplex assays. Three network models were assessed, and the decision on which model to use was guided by network stability estimates and denseness. Weak negative associations were observed between interleukin one beta (IL-1β) and detachment (D6) and irritability (E1); tumour necrosis factor alpha (TNFα) and hypervigilance (E3); and C-reactive protein (CRP) and emotional cue reactivity (B4), which could be due to high cortisol levels present in a female-majority cohort. Network models also identified positive associations between CRP and waist circumference, blood pressure, and high-density lipoprotein cholesterol (HDL-C). The strongest association was observed between CRP and waist circumference, providing evidence that central obesity is an important inflammatory component of MetS. Some networks displayed high instability, which could be due to the small pool of participants with viable cytokine data. Overall, this study provides evidence for associations between inflammation, PTS symptoms and components of MetS. Future longitudinal studies measuring pro-inflammatory cytokines in the immediate aftermath of trauma are required to gain better insight into the role of inflammation in trauma-exposure and PTSD.

Development and Validation of a Machine Learning Prediction Model of Posttraumatic Stress Disorder After Military Deployment

Military deployment involves significant risk for life-threatening experiences that can lead to posttraumatic stress disorder (PTSD). Accurate predeployment prediction of PTSD risk may facilitate the development of targeted intervention strategies to enhance resilience. To develop and validate a machine learning (ML) model to predict postdeployment PTSD. This diagnostic/prognostic study included 4771 soldiers from 3 US Army brigade combat teams who completed assessments between January 9, 2012, and May 1, 2014. Predeployment assessments occurred 1 to 2 months before deployment to Afghanistan, and follow-up assessments occurred approximately 3 and 9 months post deployment. Machine learning models to predict postdeployment PTSD were developed in the first 2 recruited cohorts using as many as 801 predeployment predictors from comprehensive self-report assessments. In the development phase, cross-validated performance metrics and predictor parsimony were considered to select an optimal model. Next, the selected model's performance was evaluated with area under the receiver operating characteristics curve and expected calibration error in a temporally and geographically distinct cohort. Data analyses were performed from August 1 to November 30, 2022. Posttraumatic stress disorder diagnosis was assessed by clinically calibrated self-report measures. Participants were weighted in all analyses to address potential biases related to cohort selection and follow-up nonresponse. This study included 4771 participants (mean [SD] age, 26.9 [6.2] years), 4440 (94.7%) of whom were men. In terms of race and ethnicity, 144 participants (2.8%) identified as American Indian or Alaska Native, 242 (4.8%) as Asian, 556 (13.3%) as Black or African American, 885 (18.3%) as Hispanic, 106 (2.1%) as Native Hawaiian or other Pacific Islander, 3474 (72.2%) as White, and 430 (8.9%) as other or unknown race or ethnicity; participants could identify as of more than 1 race or ethnicity. A total of 746 participants (15.4%) met PTSD criteria post deployment. In the development phase, models had comparable performance (log loss range, 0.372-0.375; area under the curve range, 0.75-0.76). A gradient-boosting machine with 58 core predictors was selected over an elastic net with 196 predictors and a stacked ensemble of ML models with 801 predictors. In the independent test cohort, the gradient-boosting machine had an area under the curve of 0.74 (95% CI, 0.71-0.77) and low expected calibration error of 0.032 (95% CI, 0.020-0.046). Approximately one-third of participants with the highest risk accounted for 62.4% (95% CI, 56.5%-67.9%) of the PTSD cases. Core predictors cut across 17 distinct domains: stressful experiences, social network, substance use, childhood or adolescence, unit experiences, health, injuries, irritability or anger, personality, emotional problems, resilience, treatment, anxiety, attention or concentration, family history, mood, and religion. In this diagnostic/prognostic study of US Army soldiers, an ML model was developed to predict postdeployment PTSD risk with self-reported information collected before deployment. The optimal model showed good performance in a temporally and geographically distinct validation sample. These results indicate that predeployment stratification of PTSD risk is feasible and may facilitate the development of targeted prevention and early intervention strategies.

The Effect of Add-on Memantine in New Onset Combat-Related Posttraumatic Stress Disorder Core Symptoms: A Pilot Study.

Objective: Studies using standard neuropsychological instrumentation have shown memory deficits in posttraumatic stress disorder (PTSD) patients. We examined the efficacy and safety of memantine in new cases of combat-related PTSD in the military by conducting a 16-week prospective double-blind randomized controlled trial. Method : Twenty-six new combat-related PTSD cases were recruited from among the military personnel based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Patients were assigned to memantine and Placebo groups. They were monitored at baseline, week eight, and week 16. Memantine was added to each patient's current medication with an initial dosage of 5 mg/day, raised by 5 mg/day every week until it reached the maintenance level of 20 mg/day. The concurrent drugs were essentially kept unchanged during the trial. The primary outcome was PTSD severity as assessed by the Clinician-administered PTSD Scale (CAPS). The CAPS is a valid and reliable tool for the diagnosis of PTSD and measurement of its severity according to the DSM-4. Results: CAPS mean score in baseline (P = 0.811) and weeks eight (P = 0.389) and 16 (P = 0.066) did not show any significant differences between the two groups. The mean CAPS score in the memantine group significantly (P = 0.006) decreased (Mean differences = -8.79) compared to the placebo group, showing that intervention with memantine was effective. The mean total CAPS in weeks eight (Mean differences = -14.21) and 16 (Mean differences = -27) were less than the baseline, which was significantly meaningful (P < 0.001). Conclusion: Findings of this study suggest that add-on memantine can be effective in veteran patients with PTSD. So our data provide useful insight into the management of new cases of combat-related PTSD.

A longitudinal follow-up study of Oklahoma City bombing survivors in the first quarter century after the disaster.

This study is one of the longest postdisaster prospective longitudinal studies of disaster-related psychopathology, completed nearly a quarter century after a terrorist bombing, and the longest follow-up study ever conducted using full diagnostic assessment in highly exposed disaster survivors. Oklahoma City bombing survivors (87% injured) were randomly selected from a state survivor registry and interviewed approximately 6 months postdisaster (N = 182; 71% participation) and again nearly 25 years later (N = 103; 72% participation). Interviews were conducted using the Diagnostic Interview Schedule (a structured interview assessing full diagnostic criteria) for panic disorder, generalized anxiety disorder, and substance use disorder at baseline and also for posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) at follow-up. The Disaster Supplement assessed disaster trauma exposure and subjective experience. At follow-up, 37% of participants exhibited bombing-related PTSD (34% at baseline) and 36% had MDD (23% at baseline). More new cases of PTSD than MDD developed over time. Nonremission rates were 51% for bombing-related PTSD and 33% for MDD. One-third of participants reported long-term nonemployability. The presence of long-term medical problems among survivors parallels the persistence of psychopathology. Ongoing medical problems might have contributed to psychiatric morbidity. Because no major variables predicted remission from bombing-related PTSD and MDD, all survivors with postdisaster psychopathology likely need access to long-term evaluation and care.

Molecular signatures of post-traumatic stress disorder in war-zone-exposed veteran and active-duty soldiers

Post-traumatic stress disorder (PTSD) is a multisystem syndrome. Integration of systems-level multi-modal datasets can provide a molecular understanding of PTSD. Proteomic, metabolomic, and epigenomic assays are conducted on blood samples of two cohorts of well-characterized PTSD cases and controls: 340 veterans and 180 active-duty soldiers. All participants had been deployed to Iraq and/or Afghanistan and exposed to military-service-related criterion A trauma. Molecular signatures are identified from a discovery cohort of 218 veterans (109/109 PTSD+/-). Identified molecular signatures are tested in 122 separate veterans (62/60 PTSD+/-) and in 180 active-duty soldiers (PTSD+/-). Molecular profiles are computationally integrated with upstream regulators (genetic/methylation/microRNAs) and functional units (mRNAs/proteins/metabolites). Reproducible molecular features of PTSD are identified, including activated inflammation, oxidative stress, metabolic dysregulation, and impaired angiogenesis. These processes may play a role in psychiatric and physical comorbidities, including impaired repair/wound healing mechanisms and cardiovascular, metabolic, and psychiatric diseases.

Sevoflurane Preconditioning Alleviates Posttraumatic Stress Disorder—Induced Apoptosis in the Hippocampus via the EZH2-Regulated Akt/mTOR Axis and Improves Synaptic Plasticity

Posttraumatic stress disorder (PTSD) is a persistent and severe psychological and mental disorder resulting from experiences of serious trauma or stress and is suffered by many individuals. Previous studies have shown that pretreatment with sevoflurane is efficient in reducing the incidence of PTSD. However, we require a more comprehensive understanding of the specific mechanisms by which sevoflurane works. Enhancer of zeste homolog 2 (EZH2) has been reported to be regulated by sevoflurane, and to improve patient cognition. In this study, we aimed to explore the mechanisms of sevoflurane and the role of EZH2 in PTSD cases. We explored the effects of sevoflurane and EPZ-6438 (inhibitor of EZH2) on rat behavior, followed by an investigation of EZH2 mRNA and protein expression. The effects of sevoflurane and EZH2 on neuronal survival were assessed by western blotting and TUNEL staining, while western blotting was used to examine the expression of PSD95 and the AKT/mTOR proteins. Sevoflurane preconditioning restored EZH2 expression and significantly inhibited apoptosis by regulating phosphorylation of the AKT/mTOR pathway. Synaptic plasticity was also significantly improved. These results suggest that pretreatment with sevoflurane could play an important role in PTSD prevention by regulating EZH2 expression.

Comprehensive mental health and psychosocial support for war survivors at Chenna Kebele, Dabat woreda, North Gondar, Ethiopia

BackgroundArmed conflict and natural disasters cause serious psychosocial problems. Providing comprehensive bio-psychosocial support to the community after a war, traumatic, or devastating event has a significant impact on community reconstruction and resilience. As a result, the goal of this project was to conduct community diagnosis, identify individuals experiencing psychological distress, and provide comprehensive mental health and psychosocial support for the Chenna Kebele population in Dabat Woreda, North Gondar, Ethiopia.MethodsA mixed research approach, specifically an explanatory study design, was used to assess psychosocial issues among war survivors. In-depth interviews, focus group discussions, and observation were used to assess the psychosocial and economic consequences of the war on survivors. Additionally, a structured questionnaire was employed to assess mental health problems among the target population. The project was conducted in three phases.ResultA total of 550 households were assessed using a structured questionnaire. Of them, 45 people reported a range of mental health issues, including post-traumatic stress disorder (PTSD), major depressive disorder (MDD), adjustment disorder, protracted bereavement disorder, and insomnia. PTSD is the most common diagnosis, accounting for 38 cases. Four cases of major depressive disorder, three cases of prolonged grief, and two neurologic cases were also identified during the screening. Females had a higher number of PTSD cases as compared with males. Fifteen women reported sexual violence, and the number may be high because of underreporting and refusal to disclose the situation. The result also indicated significant property damage, loss of life stocks, and disengagement from basic services like water. Intervention with follow-up was provided at the individual, group, and community levels in order to reverse the devastating situation. The intervention included pharmacotherapy, psychotherapy, and social networking.Conclusion and recommendationOverall, the community has experienced multiple psychosocial and economic problems. Hence, providing holistic mental health psychosocial support, clearing the site and burying the dead body, and re-initiating the terminated social gathering event will alleviate the existing problem and create a resilient community.

Screening for PTSD and TBI in Veterans using Routine Clinical Laboratory Blood Tests

Post-traumatic stress disorder (PTSD) is a mental disorder diagnosed by clinical interviews, self-report measures and neuropsychological testing. Traumatic brain injury (TBI) can have neuropsychiatric symptoms similar to PTSD. Diagnosing PTSD and TBI is challenging and more so for providers lacking specialized training facing time pressures in primary care and other general medical settings. Diagnosis relies heavily on patient self-report and patients frequently under-report or over-report their symptoms due to stigma or seeking compensation. We aimed to create objective diagnostic screening tests utilizing Clinical Laboratory Improvement Amendments (CLIA) blood tests available in most clinical settings. CLIA blood test results were ascertained in 475 male veterans with and without PTSD and TBI following warzone exposure in Iraq or Afghanistan. Using random forest (RF) methods, four classification models were derived to predict PTSD and TBI status. CLIA features were selected utilizing a stepwise forward variable selection RF procedure. The AUC, accuracy, sensitivity, and specificity were 0.730, 0.706, 0.659, and 0.715, respectively for differentiating PTSD and healthy controls (HC), 0.704, 0.677, 0.671, and 0.681 for TBI vs. HC, 0.739, 0.742, 0.635, and 0.766 for PTSD comorbid with TBI vs HC, and 0.726, 0.723, 0.636, and 0.747 for PTSD vs. TBI. Comorbid alcohol abuse, major depressive disorder, and BMI are not confounders in these RF models. Markers of glucose metabolism and inflammation are among the most significant CLIA features in our models. Routine CLIA blood tests have the potential for discriminating PTSD and TBI cases from healthy controls and from each other. These findings hold promise for the development of accessible and low-cost biomarker tests as screening measures for PTSD and TBI in primary care and specialty settings.

Effectiveness of Operation K9 Assistance Dogs on Suicidality in Australian Veterans with PTSD: A 12-Month Mixed-Methods Follow-Up Study

Post-traumatic stress disorder (PTSD) is a pervasive disorder among both current and ex-serving Australian Defence Force (ADF) members. Studies have shown current psychological and pharmacological treatments for PTSD are suboptimal in veterans, with high dropout rates and poor adherence to treatment protocols. Therefore, evaluating complementary interventions, such as assistance dogs, is needed for veterans who may not receive the ultimate benefit from traditional therapies. The present longitudinal mixed-method study examined the effectiveness of Operation K9 assistance dogs among sixteen veterans with PTSD, specifically, their effects on suicidality, PTSD, depression, and anxiety from baseline to 12 months post-matching. Self-reported measures were completed prior to receiving their dog (baseline) and at three time points (3, 6, and 12 months) following matching. The Clinician-Administered PTSD Scale for DSM-5 was used to assess the severity of every PTSD case. Veterans participated in a semi-structured interview 3 months post-matching. Whilst there was a reduction in the proportion of veterans reporting any suicidality, there was no significant change in the probability of veterans reporting suicidality between time points. There was a significant effect of time on PTSD, depression, and anxiety symptoms. Three major themes emerged from qualitative data analysis: life changer, constant companion, and social engagement. Qualitative data suggest assistance dogs can have a positive impact on important areas of daily life and support veterans in achieving some of the prerequisites for health, including access to services, transport, education, employment, and development of new and diverse social and community connections. Connections were key in improving health and wellbeing. This study exemplifies the power of human-animal relationships and adds emphasis to the need to take these seriously and create supportive healthy environments for veterans with PTSD. Our findings could be used to inform public health policy and service delivery, in line with the Ottawa Charter action areas and indicate that for veterans with PTSD, assistance dogs may be a feasible adjunct intervention.

Pan-Canadian Electronic Medical Record Diagnostic and Unstructured Text Data for Capturing PTSD: Retrospective Observational Study

The availability of electronic medical record (EMR) free-text data for research varies. However, access to short diagnostic text fields is more widely available. This study assesses agreement between free-text and short diagnostic text data from primary care EMR for identification of posttraumatic stress disorder (PTSD). This retrospective cross-sectional study used EMR data from a pan-Canadian repository representing 1574 primary care providers at 265 clinics using 11 EMR vendors. Medical record review using free text and short diagnostic text fields of the EMR produced reference standards for PTSD. Agreement was assessed with sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. Our reference set contained 327 patients with free text and short diagnostic text. Among these patients, agreement between free text and short diagnostic text had an accuracy of 93.6% (CI 90.4%-96.0%). In a single Canadian province, case definitions 1 and 4 had a sensitivity of 82.6% (CI 74.4%-89.0%) and specificity of 99.5% (CI 97.4%-100%). However, when the reference set was expanded to a pan-Canada reference (n=12,104 patients), case definition 4 had the strongest agreement (sensitivity: 91.1%, CI 90.1%-91.9%; specificity: 99.1%, CI 98.9%-99.3%). Inclusion of free-text encounter notes during medical record review did not lead to improved capture of PTSD cases, nor did it lead to significant changes in case definition agreement. Within this pan-Canadian database, jurisdictional differences in diagnostic codes and EMR structure suggested the need to supplement diagnostic codes with natural language processing to capture PTSD. When unavailable, short diagnostic text can supplement free-text data for reference set creation and case validation. Application of the PTSD case definition can inform PTSD prevalence and characteristics.

A genetically informed examination of posttraumatic stress disorder and traumatic brain injury’s impact on dementia risk in US Veterans

AbstractBackgroundThe US Veteran population is aging, and Veterans have higher rates of dementia risk factors such posttraumatic stress disorder (PTSD) and traumatic brain injury (TBI). Moreover, some studies have indicated that APOE:ε4 (the largest Alzheimer’s disease genetic risk factor) x TBI interactions could further elevate dementia risk.MethodAlzheimer’s disease and related dementia (ADRD) risk was examined using the electronic medical record and survey‐based phenotypes in the VA Million Veteran Program (MVP) cohort. We examined the impact of TBI (survey‐based), PTSD (medical record and survey‐based), and APOE:ε4 on ADRD risk in a European‐descent cohort (EUR, n=11,112 ADRD cases; 170,361 controls) and an African American cohort (AA, n=1,443 ADRD cases; 16,191 controls).ResultPTSD, TBI, and ε4 were associated with ADRD in both cohorts (p&lt;10‐9). In EUR, logistic models indicated dementia risk associated with TBI (OR=1.96) was approximately that of ε4 (OR=2.05), while the PTSD‐associated risk was slightly higher (OR=2.18). In AA, the effect of PTSD and ε4 were similar (OR=1.73 and 1.69 respectively), while the effect of TBI was higher (OR=2.69). GxE analyses yielded a modest but significant PTSD x ε4 interaction term in EUR (OR=0.84, p=0.0046). As multiplicative (logistic) interactions can be difficult to interpret, we calculated the risk curves predicted by the models (Figure 1) and relative excess risk due to interaction (RERI), which measures additive‐scale interactions. Modest but significant positive RERIs were observed for PTSD x APOE (EUR, RERI=1.28) and TBI x APOE (EUR and AA, RERI=0.86 and 1.45 respectively), indicating that risk of ADRD in terms of raw percentage associated with PTSD/TBI case status increases as ε4 dosage increases. For example, age 80 risk of ADRD associated with PTSD (PTSD case ADRD% – control ADRD%) in EUR is predicted to be 5.70% for those with one copy of ε4 and 11.19% for two copies of ε4.ConclusionAlthough the mechanisms have yet to be elucidated, PTSD, TBI, and genetic risk are strongly associated with dementia in Veterans. Veterans with PTSD and TBI have increased risk for ADRD and require monitoring for early detection of cognitive decline which can precede dementia onset.

Challenges in simultaneous validation of mental health screening tools in multiple languages: Adolescent assessments in Hausa and Pidgin in Nigeria

BackgroundWith growing global recognition of the need to address mental health, a key challenge is determining who needs mental health services. Most self-report screening tools were developed in English-speaking high-income settings, and this cultural milieu influences the types and content of items, the manner in which items are asked, and the options for responding to items. Approaches have been developed for transcultural translation and validation. However, these approaches are typically applied in one language at a time, which is of limited utility in linguistically diverse settings. MethodsTo address challenges in cross-cultural validation, we undertook a unique process of simultaneously validating tools in two languages in Nigeria. Through this dual-language validation, we explored how cultural and contextual differences may influence what is considered valid for a mental health tool. We validated the Depression Self Rating Scale, Child PTSD Symptom Scale (CPSS), and Disruptive Behavior Disorders Rating Scale with a community sample of 330 adolescents aged 12–17. Validity was assessed in Hausa and Pidgin, two languages commonly spoken in Nigeria. Clinical psychologists used the Kiddie-Schedule for Affective Disorders and Schizophrenia to establish caseness. ResultsMost items had good discriminant validity, except on the CPSS, on which only 8 of 17 items discriminated by caseness. Findings indicate the influence of culture (e.g., linguistic differences in translatability of items) and context (e.g., items that reflect experiences of hunger or foodborne illness; different PTSD caseness by language might reflect differential trauma exposure between populations). We also identified items that operated differently between languages. ConclusionWe identified shortcomings in cross-cultural validation procedures with regard to determining whether language, context, or or other differences influence performance of items. For future validation efforts, we recommend systematically collecting information on context and stressful/traumatic exposures as a way to contextualize interpretation of the validity findings. AcronymsDepression Self Rating Scale (DSRS), Child PTSD Symptom Scale (CPSS), Disruptive Behavior Disorders Rating Scale (DBDRS), Oppositional Defiant Disorder (ODD), Conduct Disorder (CD), Area Under the Curve (AUC), Diagnostic Odds Ratio (DOR), Low- and Middle-Income Countries (LMICs), Posttraumatic Stress Disorder (PTSD).

Emotional Scars from COVID-19: The Wave of Post-Traumatic Stress Disorder

This study examined the prevalence and the characteristics of post-traumatic stress disorder (PTSD), as measured by IES-R, in a sample of 1464 online respondents 4 or more months after the first pandemic wave in Italy. Results. 375 (25.61%) of respondents were probable case of PTSD. In multivariate logistic regression analysis, the variables independently associated with PTSD were peritraumatic distress (Adjusted Odds Ratio, AOR 25.69; 95% Confidence Interval, CI 17.96-36.74), have been in quarantine (AOR 3.16; 95%CI 1.94-5.15), have been worried about dying (AOR 2.58; 95%CI 1.74-3.83), female gender (AOR 2.49; 95%CI 1.64-3.78), having used sleep remedies (AOR 2.25; 95%CI 1.549-3.29), feeling shunned by others as a possible source of contagion (AOR 1.92; 95%CI 1.33-2.78), and having tested positive for a COVID-19 (as protection factor) (AOR 0.25; 95%CI 0.08-0.80), after adjusting for age. Conclusions. One in four of people could be a case of PTSD and could have important long-term physical and psychological consequences. The COVID-19 pandemic is connoted as a "trauma" that can favor the development of a PTSD, which if not treated in addition to psychological, social and occupational distress, could cause in the long term, biological damage. It is therefore important to recognize the symptoms of PTSD for early diagnosis and timely treatment chosen from those that have also been shown to be effective in promoting neurogenesis.