Identification of biopSychoSocial factors predictive of post-traUmatic stress disorder in patients admitted to the Emergency department after a trauma (ISSUE): protocol for a multicenter prospective study

Three distinct patterns of mental health response following accidents in mountain sports: a follow-up study of individuals treated at a tertiary trauma center

The restorative effect of physical activity in alpine environments on mental and physical health is well recognized. However, a risk of accidents and post-accident mental health problems is inherent to every sport. We aimed to characterize mental health in individuals following mountain sport accidents requiring professional medical management. Adult victims of mountain sport accidents treated at the hospital of the Medical University of Innsbruck (Austria) between 2018 and 2020 completed a cross-sectional survey at least 6 months following the admission (median 44 months, n = 307). Symptoms of post-traumatic stress disorder (PTSD, PCL-5), anxiety, depression, and somatization (PHQ), resilience (RS-13), sense of coherence (SOC-9L), post-traumatic growth (PTGI), and quality of life (EUROHIS-QOL), as well as sociodemographic and clinical information, were obtained from an online survey and extracted from electronic health records. Mental health outcome patterns were investigated by semi-supervised medoid clustering and modeled by machine learning. Symptoms of PTSD were observed in 19% of participants. Three comparably sized subsets of participants were identified: a (1) neutral, (2) post-traumatic growth, and (3) post-traumatic stress cluster. The post-traumatic stress cluster was characterized by high prevalence of symptoms of mental disorders, low resilience, low sense of coherence, and low quality of life as well as by younger age, the highest frequency of pre-existing mental disorders, and persisting physical health consequences of the accident. Individuals in this cluster self-reported a need for psychological or psychiatric support following the accident and more cautious behavior during mountain sports since the accident. Reliability of machine learning-based prediction of the cluster assignment based on 40 variables available during acute medical treatment of accident victims was limited. A subset of individuals show symptoms of mental health disorders including symptoms of PTSD when assessed at least 6 months after mountain sport accident. Since early identification of these vulnerable patients remains challenging, psychoeducational measures for all patients and low-threshold access to mental health support are key for a successful interdisciplinary management of victims of mountain sport accidents.

PTSD risk factors in earthquake survivors and their families: a systematic review

Background: Exposure to earthquakes can cause adverse effects on the mental health of survivors, including an increased risk of PTSD.Objective: This systematic review aims to analyse the previous secondary studies to identify the risk factors for PTSD from children to elderly earthquake survivors. In addition, it aims to consider the complexity of the joint effects of the individual, relational, and contextual risk factors, to also detect the most at-risk families.Method: After reviewing and screening studies from the literature search through PubMed, Web of Science, Scopus, and EBSCO under the guidance of PRISMA guidelines, ten eligible secondary studies were identified that examine the risk factors for PTSD in individuals (from children to elderly) affected by worldwide earthquakes.Results: The analysis of the included studies allowed the identification of a series of socio-demographic, pre-traumatic, peri-traumatic, and post-traumatic PTSD risk factors in children, adolescents, youth, adults, and elderly survivors. The results represent the complexity of the joint effects of these risk factors at individual, relational, and contextual levels.Conclusions: The consideration of the PTSD risk factors highlights the importance of individual characteristics and the type of experiences and exposure in the period before, during, and after the earthquake. This knowledge could allow the early identification of at-risk individuals of different ages and families and the implementation of intervention programmes.

Development and validation of a brief screener for posttraumatic stress disorder risk in emergency medical settings

OBJECTIVE

Predicting risk of posttraumatic stress disorder (PTSD) in the acute care setting is challenging given the pace and acute care demands in the emergency department (ED) and the infeasibility of using time-consuming assessments. Currently, no accurate brief screening for long-term PTSD risk is routinely used in the ED. One instrument widely used in the ED is the 27-item Immediate Stress Reaction Checklist (ISRC). The aim of this study was to develop a short screener using a machine learning approach and to investigate whether accurate PTSD prediction in the ED can be achieved with substantially fewer items than the IRSC.

METHOD

This prospective longitudinal cohort study examined the development and validation of a brief screening instrument in two independent samples, a model development sample (N = 253) and an external validation sample (N = 93). We used a feature selection algorithm to identify a minimal subset of features of the ISRC and tested this subset in a predictive model to investigate if we can accurately predict long-term PTSD outcomes.

RESULTS

We were able to identify a reduced subset of 5 highly predictive features of the ISRC in the model development sample (AUC = 0.80), and we were able to validate those findings in the external validation sample (AUC = 0.84) to discriminate non-remitting vs. resilient trajectories.

CONCLUSION

This study developed and validated a brief 5-item screener in the ED setting, which may help to improve the diagnostic process of PTSD in the acute care setting and help ED clinicians plan follow-up care when patients are still in contact with the healthcare system. This could reduce the burden on patients and decrease the risk of chronic PTSD.

[Trauma and resilience associated with the COVID-19 pandemic in the cities of Bafoussam and Dschang in Cameroon]

INTRODUCTION

The emergence of the Covid-19 pandemic in Cameroon, as in Africa and around the world, was marked by a suddenness and unpredictability that fascinated the imagination. The considerable psychic and social repercussions of the pandemic mobilized a significant anguish of death. The sudden onset of the pandemic was followed by spectacular, high-profile deaths that fascinated the imagination, listing it in the order of traumatic events, provoking reactions of astonishment, flight and avoidance.

GOAL

The objective of this study is to determine the symptomatology of post-traumatic stress disorder, as well as the resilience, associated with the Covid-19 pandemic in the Western Region of Cameroon.

METHODOLOGY

The research was carried out following the model of general population mental health surveys. The availability of area frames (sampling) made it possible to opt for probabilistic calculations. First and second year master's students in clinical psychology from Dschang University were involved in data collection. They benefited from a two-day seminar on data collection techniques in the general population. The calculated sample size is 384 households. The anticipated response rate, set at 90%, made it possible to increase robustness and to anticipate a total sample of 424 households, spread over 3 districts of Bafoussam and Dschang, according to the choice previously made. The study followed the ethical provisions of the Helsinki Protocol. The data collection tools used are: the Impact of Event Scale-Revised and the Connor-Davidson Resilience Scale.

RESULTS

409 subjects were recruited, representing a completion rate of 106.5%. 70.7% of subjects exhibited symptoms of PTSD. These symptoms are more often mild (40.9%) or moderate (25.6%). Women are more affected (73.7%) by PTSD than men (67.9%). In addition to sex and age, area of residence and marital status, appear to be significantly associated with symptoms of PTSD: subjects under 35 years of age have a significantly higher prevalence rate than those over 35; the rate of PTSD is significantly higher in subjects living in urban areas than in those living in rural areas; single subjects are more affected by PTSD (40.1%) than married subjects (26.7%). The average score recorded on the CD-RISC is 64.3, the standard deviation is 15.3 and the coefficient of variation is 24%. This average falls into the second quartile of the distribution, indicating average resilience. CD-RISC scores are not affected by gender, age, marital status, level of education, or occupational status. These characteristics are therefore not factors of resilience.

CONCLUSION

The Covid-19 pandemic has had a psychological impact in Cameroon which has made it a major psychosocial stressor. More than 6 in 10 people have symptoms of PTSD. But this symptomatology is often weak or moderate, testifying to an effective resilience, to balance the traumatic effects of the pandemic.

The role of stress reactivity and pre-injury psychosocial vulnerability to psychological and physical health immediately after traumatic injury

BACKGROUND

Traumatic injuries can have long-term negative impacts on health, especially psychological health. A biopsychosocial approach is recommended to identify those likely to experience psychosocial stress, however large individual differences exist in stress reactivity and post-injury health that remain unexplored. Therefore, we investigated autonomic nervous system (ANS) stress responses and pre-existing psychosocial vulnerability as contributors to health in individuals who sustained a traffic-related injury.

METHODS

120 adults with traffic-related injury and 112 non-injury controls underwent an integrative ANS (cardiac and skin conductance) assessment and a health-related assessment at 3-6 weeks post-injury. Propensity score matching based on six pre-injury psychosocial vulnerability factors (age, sex, education, prior mental/physical health, socioeconomic status) guided the definition of high vulnerability (HV) and low vulnerability (LV) injury subgroups, with the LV subgroup having similar propensity scores to non-injury controls. A three-group comparative analysis of ANS responsivity (baseline, reactivity, recovery/rebound) and post-injury health was performed.

RESULTS

The HV subgroup exhibited the most negative immediate post-injury mental health profile and less adaptive ANS response patterns, indicating greater stress vulnerability/reactivity. Significant differences were found for psychological health (elevated psychological distress and catastrophizing), but not physical health (injury factors, pain, fatigue, physical wellbeing). HV participants showed sympathetic predominance at resting baseline (lower parasympathetic activity and/or elevated heart rate) compared to the LV and control groups, as well as smaller parasympathetic decrease during a cognitive task compared to controls. Despite preserved capacity for restoring initial homeostasis in both injury subgroups during recovery, there was some indication of blunted post-task sympathetic deactivation (larger sympathetic decrease) and reduced overall ANS adaptability (reduction in total power of heart rate variability spectrum), suggesting relative reduced capacity to face stressors compared to controls.

CONCLUSIONS

Findings suggest that baseline resting ANS regulation, particularly parasympathetic activity, and pre-injury psychosocial factors are key contributors to individual psycho-biological responses following traumatic injury, and are therefore potential stress vulnerability markers. Post-stress recovery patterns may represent a novel physiological signature for a "biological intrinsic" vulnerability early after the injury. These findings provide direction for improved early identification and management of injured individuals, including innovative preventive interventions that target ANS regulation.

Post-traumatic stress disorder in train crash survivors in Italy: the role of mood spectrum dysregulations and intrusiveness

BACKGROUND

To explore relationships among post-traumatic stress disorder (PTSD), depressive spectrum symptoms, and intrusiveness in subjects who survived the crash of a train derailed carrying liquefied petroleum gas and exploded causing a fire.

METHODS

A sample of 111 subjects was enrolled in Viareggio, Italy. AMOS version 21 (IBM Corp, 2012) was utilized for a structural equation model-path analysis to model the direct and indirect links between the exposure to the traumatic event, the occurrence of depressive symptoms, and intrusiveness. Subjects were administered with the SCID-IV (Structured Clinical Interview for DSM-IV), the Questionnaire for Mood Spectrum (MOODS-SR)-Last Month version, the Trauma and Loss Spectrum Questionnaire (TALS-SR), and the Impact of Event Scale-Revised version (IES-R).

RESULTS

Sixty-six (66/111; 59.4%) subjects met SCID-IV criteria for PTSD. Indices of goodness of fit were as followed: χ2/df = 0.2 P = .6; comparative fit index = 1 and root mean square error of approximation = 0.0001. A significant path coefficient for direct effect of potential traumatic events on depressive symptoms (β = 0.25; P < .04) and from depressive symptoms to intrusiveness (β = 0.34; P < .003) was found. An indirect effect was also observed: standardized value of potential traumatic events on intrusiveness was 0.86. The mediating factor of this indirect effect path was represented by depressive symptoms. Potential traumatic events explained 6.2% of the variance of depressive symptoms; 11.8% of the variance of intrusiveness was accounted for traumatic event and depressive symptoms.

CONCLUSIONS

Path analysis led us to speculate that depression symptoms might have mediated the relationship between the exposure to potential traumatic events and intrusiveness for the onset of PTSD.