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Cumulative trauma is usually devastating and can lead to severe psychological consequences, including posttraumatic stress disorder (PTSD). Exposure to various types of traumas, particularly during childhood, can be even more deleterious than the sheer number of events experienced. This epidemiological study is the first to investigate the impact of discrete childhood traumatic exposure on the risk of developing lifetime PTSD in a representative sample of the general population of the two biggest Brazilian cities. Participants were aged between 15 and 75 years old, living in São Paulo and Rio de Janeiro, Brazil, who had experienced traumatic events (N = 3,231). The PTSD diagnosis was assessed using the DSM-IV criteria through the version 2.1 of Composite International Diagnostic Interview. To operationalize childhood cumulative trauma, we considered the sum of 15 different childhood trauma categories that occurred before PTSD onset. The final multivariate logistic regression model indicated a strong relationship between the number of discrete types of childhood traumas and the likelihood of the lifetime PTSD development. The lifetime PTSD risk increased 28 % with each different type of childhood trauma when adjusted by confounds. Our study strengthens the evidence associating childhood cumulative trauma to increased lifetime PTSD risk.

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Internet-delivered cognitive-behavioral therapy (I-CBT) is effective in treating post-traumatic stress disorder (PTSD) symptoms, offering enhanced accessibility and cost-effectiveness. However, it's important to note that these technologies may not be suitable for all age groups. Therefore, we conducted a systematic review and meta-analysis to determine if the effectiveness of I-CBT in treating PTSD varies based on the patients' mean age. We conducted a systematic review of the literature, focusing on randomized controlled trials (RCTs) in the ISI Web of Science, PubMed/MEDLINE, and PsycINFO databases. Following this, we performed a meta-analysis and evaluated the risk of bias using the Cochrane risk of bias quality assessment tool. In this study, we examined patient-related factors (civil or military status, age, and gender), clinical characteristics (baseline PTSD severity and type of trauma), and treatment characteristics (type of intervention, synchronous or asynchronous delivery, and the number of sessions) as independent variables. The dependent variable was the reduction in mean PTSD symptoms. Five RCTs out of 1,552 screened studies were included in this review, all of which showed some level of concern regarding potential bias. Our meta-analysis indicates that I-CBT is equally effective regardless of patients' mean age. Since all RCTs included only provide the mean age of the patients, further randomized controlled trials should address the effectiveness of I-CBT among different age groups.

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BACKGROUND: The present study aimed to apply multivariate pattern recognition methods to predict posttraumatic stress symptoms from whole-brain activation patterns during two contexts where the aversiveness of unpleasant pictures was manipulated by the presence or absence of safety cues. METHODS: Trauma-exposed participants were presented with neutral and mutilation pictures during functional magnetic resonance imaging (fMRI) collection. Before the presentation of pictures, a text informed the subjects that the pictures were fictitious ("safe context") or real-life scenes ("real context"). We trained machine learning regression models (Gaussian process regression (GPR)) to predict PTSD symptoms in real and safe contexts. RESULTS: The GPR model could predict PTSD symptoms from brain responses to mutilation pictures in the real context but not in the safe context. The brain regions with the highest contribution to the model were the occipito-parietal regions, including the superior parietal gyrus, inferior parietal gyrus, and supramarginal gyrus. Additional analysis showed that GPR regression models accurately predicted clusters of PTSD symptoms, nominal intrusion, avoidance, and alterations in cognition. As expected, we obtained very similar results as those obtained in a model predicting PTSD total symptoms. CONCLUSION: This study is the first to show that machine learning applied to fMRI data collected in an aversive context can predict not only PTSD total symptoms but also clusters of PTSD symptoms in a more aversive context. Furthermore, this approach was able to identify potential biomarkers for PTSD, especially in occipitoparietal regions.

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ABSTRACT The goal of this editorial is to analyse a recent case of mass murder under the psychiatric perspective.

RESUMO O objetivo do presente editorial é o de analisar, sob a perspectiva da psiquiatria, um caso recente de homicídio em massa.

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Until the third trimester of 2022, 103 million people worldwide had been forced to leave their homes and become refugees. The traumatic experiences of refugees can lead not only to mental disorders but also to Posttraumatic Growth (PTG). (1) To find the variables positively and negatively associated with PTG in refugees. (2) To investigate the relationship between PTG and Posttraumatic Stress Disorder (PTSD) among refugees. We systematically searched Medline, Web of Knowledge, PsycInfo, Scopus, and PTSD Pubs for studies about PTG in refugees. Epidemiological studies using the Posttraumatic Growth Inventory. Grey literature, reviews, and meta-analysis. Risk of bias was assessed by the 'The Joanna Briggs Institute Prevalence Critical Appraisal Tool'. We included 24 studies investigating PTG and associated factors. The factors positively associated with PTG were social support, regular migration status, religiosity, satisfaction with life, time, and problem-focussed and emotion-focussed coping. The factors negatively associated with PTG were: irregular migration status, emotional suppression, and avoidance coping. Studies on PTG in refugees are essential to finding new ways to address mental health in this field. Few studies offered risk of bias, particularly regarding the sample selection. We conclude that PTG may be influenced by many factors and it would be of importance that the centres for support, as well as public policies, took that into account to foster the outcome and not only to focus on disease. This study was partially supported by CAPES and registered on PROSPERO (CRD42020215607).

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RESUMO Objetivo: Neste estudo relatamos o caso de uma profissional de saúde com vivência de imobilidade tônica (IT) e posterior desenvolvimento de transtorno de estresse pós-traumático (TEPT) crônico em decorrência de trauma laboral por conta da COVID-19 que recebeu tratamento remoto com terapia cognitivo-comportamental focada no trauma (TCC-FT). Métodos: Relato de caso de uma paciente acompanhada por seis meses após o recebimento de TCC-FT remota. Resultados: Paciente do sexo feminino, de 36 anos, fisioterapeuta, que desenvolveu TEPT crônico e experienciou IT por medo da contaminação por coronavírus. As escalas psicométricas demonstraram que a TCC-FT reduziu consideravelmente os sintomas de TEPT e depressão e aumentou o apoio social e a resiliência. De acordo com o relato, o tratamento melhorou a concentração e a motivação, e reduziu o sentimento de culpa, a irritabilidade, a insegurança e o desconforto em lidar com outras pessoas. Conclusão: Este artigo demonstra que traumas decorrentes da COVID-19 podem ser capazes de desencadear IT e exemplifica um favorável desempenho da TCC-FT na melhoria global da saúde mental dos pacientes com TEPT crônico com vivência de IT.

ABSTRACT Objective: In this study, we report the case of a health professional with experience of tonic immobility (TI) and subsequent development of post-traumatic stress disorder (PTSD) as a result of occupational trauma due to COVID-19 who received remote treatment with Trauma-Focused Cognitive Behavioral Therapy (TF-CBT). Methods: A case report of a patient followed for six months after receiving remote TF-CBT. Results: A 36-year-old female patient, the physiotherapist who developed chronic PTSD and experienced TI for fear of coronavirus contamination. Psychometric scales demonstrated that TF-CBT considerably reduced PTSD and depression symptoms and increased social support and resilience. According to the report, the treatment improved concentration and motivation, and reduced feelings of guilt, irritability, insecurity, and discomfort in dealing with other people. Conclusion: This article demonstrates that trauma resulting from COVID-19 can trigger TI and exemplifies a favorable performance of TF-CBT in the global improvement of the mental health of patients with chronic PTSD who experience TI.

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BACKGROUND: The goal of the present study was to investigate the association between PTSD and the onset of hypertension in previously normotensive individuals in a population living in the stressful environment of the urban slums while controlling for risk factors for cardiovascular disease (CVD). METHODS: Participants were 320 normotensive individuals who lived in slums and were attending a family doctor program. Measurements included a questionnaire covering sociodemographic characteristics, clinical status and life habits, the Posttraumatic Stress Disorder Checklist - Civilian Version, and the Beck Depression Inventory. Incident hypertension was defined as the first occurrence at the follow-up review of the medical records of (1) systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher, (2) the participant started taking antihypertensive medication, or (3) a new diagnosis of hypertension made by a physician. Differences in sociodemographic, clinical, and lifestyle characteristics between hypertensive and non-hypertensive individuals were compared using the χ2 and t tests. Multivariate Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI). RESULTS: Six variables - age, educational level, body mass, smoking, diabetes, and PTSD diagnosis - showed a statistically significant (p ≤ 0.20) association with the hypertensive status. In the Cox regression, only PTSD diagnosis was significantly associated with incident hypertension (multivariate HR = 1.94; 95% CI 1.11-3.40). CONCLUSIONS: The present findings highlight the importance of considering a diagnostic hypothesis of PTSD in the prevention and treatment of cardiovascular diseases.

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The present study sought to explore the factors associated with the odds of having probable depression and posttraumatic stress disorder (PTSD) related to traumatic COVID-19 experiences and their impact on health care workers in distinct categories. In this cross-sectional study, 1843 health care workers (nurses, nurse technicians, physicians, physical therapists, and other healthcare workers) were recruited via convenience sampling. A survey was administered to obtain information regarding sociodemographic, occupational, and mental health status. Descriptive statistics and multivariable logistic regression were used for the analyses. Being a nurse technician was associated with an odds ratio of 1.76 for probable PTSD. No relation was observed between health care worker categories and the odds of probable depression. Additionally, being female and not receiving adequate PPE were related to greater odds of having probable PTSD and depression.

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This is a bibliometric analysis of the most-cited articles on post-traumatic stress disorder (PTSD) with the objective of identifying citation patterns for researchers, journals, centers, periods, topics, and nations. A search was conducted in Thomson Reuters' WoS Core Collection employing the expression TI = (posttraumatic stress disorder OR post-traumatic stress disorder OR PTSD). The 100 most-cited articles were downloaded, and the relevant data were extracted and analyzed. These studies had a total of 69,649 citations, ranging from a minimum of 360 to a maximum of 6029 citations, with an average of 696.49, a standard deviation of 720.92, mode of 369, and a median of 512. Eighty-eight percent of the most-cited articles on PTSD originated from the USA, with just six cities accounting for 52% of the publications and the Boston area alone responsible for almost one-fifth of the total output. The universities of Yale and Harvard headed the ranking of institutions with larger numbers of highly-cited articles. Female researchers represented 42.3% of all authors, 51% of the first authors, and 48% of the corresponding authors. The proportion of M.D. authors decreased significantly between the 1980-1999 (42%) and the 2000-2019 (27.2%) periods while that of Ph.D. authors increased from 44% to 57.4%. The most studied population was military veterans (28%). Female victims of sexual or physical violence, traumatized children, and adult survivors of childhood abuse were assessed in only 6-7% of the most-cited publications. Ten clinical trials evaluated psychological interventions but only three investigated pharmacotherapy. We concluded that influential research on PTSD remains centralized in the USA. A balanced gender representation in publications was found. There was a heavy reliance on combat veterans as the study population. Few highly-cited studies on the pharmacotherapy for PTSD were identified. Focused efforts are needed to address these challenges.