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Lechner-Meichsner F, Comtesse H, Olk M. Prevalence, comorbidities, and factors associated with prolonged grief disorder, posttraumatic stress disorder and complex posttraumatic stress disorder in refugees: a systematic review. Confl Health 2024; 18:32. [PMID: 38627778 PMCID: PMC11020800 DOI: 10.1186/s13031-024-00586-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 03/20/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND The number of refugees worldwide is at an all-time high with many being exposed to potentially traumatic events and the loss of loved ones. The 11th revision of the International Statistical Classification of Diseases and Related Health Problems now includes prolonged grief disorder and complex posttraumatic stress disorder and revised criteria for posttraumatic stress disorder. An overview of these stress-related disorders among people who have become refugees is therefore needed. Consequently, we conducted a systematic review to determine prevalence rates, comorbidities, and associated factors for each of the disorders. METHOD We systematically searched PubMed, Web of Science, and PsycArticles to identify studies that reported prevalence rates, predictors or associated factors, and/or comorbid mental disorders for either (1) prolonged grief disorder, (2) posttraumatic stress disorder, or (3) complex posttraumatic stress disorder among refugees. The selection process followed the PRISMA guidelines. RESULTS A total of 36 studies met the inclusion criteria. Most of the studies were of high quality. There was substantial variation in prevalence rates by disorder, with prolonged grief ranging from 6 to 54%, posttraumatic stress disorder ranging from 0.4 to 80%, and complex posttraumatic stress disorder ranging from 3 to 74.6%. Pooled prevalence for posttraumatic stress disorder was estimated at 29.8% in treatment seeking samples and 9.92% in population samples. For complex posttraumatic stress disorder, it was estimated at 57.4% in treatment seeking samples and 7.8% in population samples. Posttraumatic stress disorder was among the most frequent comorbidities for prolonged grief disorder while depressive symptoms were the most frequently occurring co-morbidity across all three disorders. Sociodemographic variables, trauma exposure, and loss characteristics were associated with higher symptom severity. Postmigration living difficulties played an important role in prolonged grief and complex posttraumatic stress disorder. CONCLUSION The review revealed substantial differences in prevalence rates between the three studied disorders but underscored a very high prevalence of ICD-11 stress-related disorders among refugees. The identified associated factors point to subgroups that may be particularly at risk and establishes a foundational basis for targeted interventions and potential policy changes. Future research should incorporate longitudinal investigations and emphasize culturally sensitive assessments.
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Affiliation(s)
- Franziska Lechner-Meichsner
- Department of Psychology, Clinical Psychology and Psychotherapy, Goethe University Frankfurt, Varrentrappstraße 40-42, 60486, Frankfurt am Main, Germany.
- Clinical Psychology, Utrecht University, Heidelberglaan 1, Utrecht, 3584 CS, Netherlands.
| | - Hannah Comtesse
- Clinical and Biological Psychology, Catholic University Eichstaett-Ingolstadt, Ostenstraße 26, 85072, Eichstätt, Germany
| | - Marie Olk
- Department of Psychology, Clinical Psychology and Psychotherapy, Goethe University Frankfurt, Varrentrappstraße 40-42, 60486, Frankfurt am Main, Germany
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Scalabrini A, Cavicchioli M, Benedetti F, Mucci C, Northoff G. The nested hierarchical model of self and its non-relational vs relational posttraumatic manifestation: an fMRI meta-analysis of emotional processing. Mol Psychiatry 2024:10.1038/s41380-024-02520-w. [PMID: 38514803 DOI: 10.1038/s41380-024-02520-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 03/23/2024]
Abstract
Different kinds of traumatic experiences like natural catastrophes vs. relational traumatic experiences (e.g., sex/physical abuse, interpersonal partner violence) are involved in the development of the self and PTSD psychopathological manifestations. Looking at a neuroscience approach, it has been proposed a nested hierarchical model of self, which identifies three neural-mental networks: (i) interoceptive; (ii) exteroceptive; (iii) mental. However, it is still unclear how the self and its related brain networks might be affected by non-relational vs relational traumatic experiences. Departing from this background, the current study aims at conducting a meta-analytic review of task-dependent fMRI studies (i.e., emotional processing task) among patients with PTSD due to non-relational (PTSD-NR) and relational (PTSD-R) traumatic experiences using two approaches: (i) a Bayesian network meta-analysis for a region-of-interest-based approach; (ii) a coordinated-based meta-analysis. Our findings suggested that the PTSD-NR mainly recruited areas ascribed to the mental self to process emotional stimuli. Whereas, the PTSD-R mainly activated regions associated with the intero-exteroceptive self. Accordingly, the PTSD-R compared to the PTSD-NR might not reach a higher symbolic capacity to process stimuli with an emotional valence. These results are also clinically relevant in support of the development of differential treatment approaches for non-relational vs. relational PTSD.
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Affiliation(s)
- Andrea Scalabrini
- Department of Human and Social Sciences, University of Bergamo, P.le S. Agostino, 2, Bergamo, 24129, Italy.
| | - Marco Cavicchioli
- University Vita- Salute San Raffaele, Milan, Via Olgettina, 58, Milan, 20132, Italy.
| | - Francesco Benedetti
- University Vita- Salute San Raffaele, Milan, Via Olgettina, 58, Milan, 20132, Italy
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Clara Mucci
- Department of Human and Social Sciences, University of Bergamo, P.le S. Agostino, 2, Bergamo, 24129, Italy
| | - Georg Northoff
- The Royal's Institute of Mental Health Research & University of Ottawa. Brain and Mind Research Institute, Centre for Neural Dynamics, Faculty of Medicine, University of Ottawa, Ottawa, 145 Carling Avenue, Rm. 6435, Ottawa, ON, K1Z 7K412, Canada
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Suarez-Jimenez B, Lazarov A, Zhu X, Zilcha-Mano S, Kim Y, Marino CE, Rjabtsenkov P, Bavdekar SY, Pine DS, Bar-Haim Y, Larson CL, Huggins AA, Terri deRoon-Cassini, Tomas C, Fitzgerald J, Kennis M, Varkevisser T, Geuze E, Quidé Y, El Hage W, Wang X, O’Leary EN, Cotton AS, Xie H, Shih C, Disner SG, Davenport ND, Sponheim SR, Koch SB, Frijling JL, Nawijn L, van Zuiden M, Olff M, Veltman DJ, Gordon EM, May G, Nelson SM, Jia-Richards M, Neria Y, Morey RA. Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:299-307. [PMID: 38298781 PMCID: PMC10829610 DOI: 10.1016/j.bpsgos.2023.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 04/12/2023] [Accepted: 05/22/2023] [Indexed: 02/02/2024] Open
Abstract
Background Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n= 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)-only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. Results rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network-related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. Conclusions Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology.
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Affiliation(s)
- Benjamin Suarez-Jimenez
- Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Amit Lazarov
- Department of Clinical Psychology, School of Psychological Sciences, Tel-Aviv University, Tel-Aviv, Israel
- Department of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, New York
| | - Xi Zhu
- Department of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, New York
| | - Sigal Zilcha-Mano
- Department of Psychology, University of Haifa, Mount Carmel, Haifa, Israel
| | - Yoojean Kim
- Department of Psychiatry, New York State Psychiatric Institute, New York, New York
| | - Claire E. Marino
- Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Pavel Rjabtsenkov
- Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Shreya Y. Bavdekar
- Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Daniel S. Pine
- Section on Developmental Affective Neuroscience, National Institute of Mental Health, Bethesda, Maryland
| | - Yair Bar-Haim
- Department of Clinical Psychology, School of Psychological Sciences, Tel-Aviv University, Tel-Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | | | | | | | | | | | - Mitzy Kennis
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, the Netherlands
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Tim Varkevisser
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, the Netherlands
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Elbert Geuze
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, the Netherlands
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Yann Quidé
- School of Psychology, University of New South Wales Sydney, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Wissam El Hage
- Unité Mixte de Recherche 1253, Institut National de la Santé et de la Recherche Médicale, Université de Tours, Tours, France
- Centre d'investigation Clinique 1415, Institut National de la Santé et de la Recherche Médicale, Centre Hospitalier Régional Universitaire de Tours, Tours, France
| | - Xin Wang
- University of Toledo, Toledo, Ohio
| | | | | | - Hong Xie
- University of Toledo, Toledo, Ohio
| | | | - Seth G. Disner
- Minneapolis VA Health Care System, Minneapolis, Minnesota
| | | | | | - Saskia B.J. Koch
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
| | - Jessie L. Frijling
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
| | - Laura Nawijn
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Mirjam van Zuiden
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
| | - Miranda Olff
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
- ARQ National Psychotrauma Centre, Diemen, the Netherlands
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Evan M. Gordon
- Department of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Geoffery May
- VISN 17 Center of Excellence for Research on Returning War Veterans, U.S. Department of Veterans Affairs, Waco, Texas
| | - Steven M. Nelson
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota
| | | | - Yuval Neria
- Department of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, New York
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Lotzin A, Morozova-Larina O, Paschenko S, Paetow A, Schratz L, Keller V, Krupelnytska L. War-related stressors and ICD-11 (complex) post-traumatic stress disorders in Ukrainian students living in Kyiv during the Russian-Ukrainian war. Psychiatry Res 2023; 330:115561. [PMID: 37956590 DOI: 10.1016/j.psychres.2023.115561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023]
Abstract
We estimated the prevalence of war-related stressors (Harvard Trauma Questionnaire-R), risk of ICD-11 posttraumatic stress disorder (PTSD), and complex posttraumatic stress disorder (CPTSD; International Trauma Questionnaire-R) in N = 563 Ukrainian students living in Kyiv, an active war zone between December 2022 and January 2023. Among trauma survivors (n = 381), we used multinomial logistic regression to examine whether different war-related traumatic events and cumulative trauma increased risk for ICD-11-PTSD and CPTSD after controlling for other traumatic events, age, and gender. Nine of ten Ukrainian students (91.5%) reported at least one war-related stressor, one of five (20.8%) reported four or more stressors. War-related combat situations were reported most frequently (59.5%), followed by forced separation from family members (54.5%), lack of shelter (53.3%), and murder or violent death of a family member or friend (15.6%). Rates for probable ICD-11 PTSD and CPTSD were 12.4% and 11.2%, respectively. Sexual violence and cumulative trauma exposure significantly increased the risk of CPTSD compared to other traumatic events. The high proportions of ICD-11-PTSD and CPTSD underscore the psychological burden of Ukrainian students living in an active war zone and the need for trauma-focused interventions for war-affected populations.
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Affiliation(s)
- Annett Lotzin
- Institute for Clinical Psychology and Psychotherapy, Department of Psychology, MSH Medical School Hamburg, Hamburg, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Olha Morozova-Larina
- Taras Shevchenko National University of Kyiv, Department of Psychodiagnostics and Clinical Psychology, Kyiv, Ukraine
| | - Svitlana Paschenko
- Taras Shevchenko National University of Kyiv, Department of Developmental Psychology, Kyiv, Ukraine
| | - Antje Paetow
- Institute for Clinical Psychology and Psychotherapy, Department of Psychology, MSH Medical School Hamburg, Hamburg, Germany
| | - Lisa Schratz
- Institute for Clinical Psychology and Psychotherapy, Department of Psychology, MSH Medical School Hamburg, Hamburg, Germany
| | - Vladyslava Keller
- Taras Shevchenko National University of Kyiv, Department of Psychodiagnostics and Clinical Psychology, Kyiv, Ukraine
| | - Liudmyla Krupelnytska
- Taras Shevchenko National University of Kyiv, Department of Psychodiagnostics and Clinical Psychology, Kyiv, Ukraine
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5
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Garabiles MR, Mordeno IG, Nalipay MJN. A comparison of DSM-5 and ICD-11 models of PTSD: Measurement invariance and psychometric validation in Filipino trauma samples. J Psychiatr Res 2023; 163:24-31. [PMID: 37196517 DOI: 10.1016/j.jpsychires.2023.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/30/2023] [Accepted: 05/01/2023] [Indexed: 05/19/2023]
Abstract
This study examined and compared the factor structure of DSM-5 and ICD-11 PTSD models and their relationships with transdiagnostic symptoms (i.e., anxiety, depression, negative affect, and somatic symptoms) in eight trauma samples: (1) natural disaster relocatees; (2) Typhoon Haiyan survivors; (3) indigenous people exposed to armed conflict; (4) internally displaced persons due to armed conflict; (5) soldiers regularly involved in armed conflict; (6) police exposed to work-related traumatic events; (7) abused women; and (8) college students with diverse trauma experiences. Results showed that while the ICD-11 PTSD has better model fit than that of DSM-5, the DSM-5 PTSD model has stronger relationships with all transdiagnostic symptoms in almost all of the samples. The study highlights that in choosing which PTSD nomenclature to use, both the factor structure and comorbidity with other symptoms must be considered.
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Affiliation(s)
- Melissa R Garabiles
- Department of Psychology, De La Salle University, Philippines; Scalabrini Migration Center, Philippines; UGAT Foundation Inc., Philippines
| | - Imelu G Mordeno
- Department of Professional Education, Mindanao State University-Iligan Institute of Technology, Philippines
| | - Ma Jenina N Nalipay
- Department of Curriculum and Instruction, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
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Chiu SH, Chiu YL, Yeh CB. The Psychometric Properties of the International Trauma Questionnaire in Taiwan. PSYCHIAT CLIN PSYCH 2023; 33:28-37. [PMID: 38764532 PMCID: PMC11082618 DOI: 10.5152/pcp.2023.22572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 12/21/2022] [Indexed: 05/21/2024] Open
Abstract
Background Complex post-traumatic stress disorder was often present after chronic traumatic events. The diagnostic criteria of complex post-traumatic disorder consisted of both post-traumatic stress disorder and disturbance in self-organization. People with complex post-traumatic disorder often exposed to chronic stress. It might not be as significant as the major traumatic event as survivors with post-traumatic stress disorder had experienced. Therefore, the impact of complex post-traumatic stress disorder was often ignored. It is critical to identify the at-risk individuals with complex post-traumatic disorder in community. We planned to investigate the psychometrics of the International Trauma Questionnaire for assessing complex post-traumatic stress disorder symptoms in Taiwan. Methods One hundred twenty-one individuals were enrolled and they completed 8 self-report scales, including International Trauma Questionnaire, Childhood Trauma Questionnaire Short Form, Beck Depression Inventory-II, Beck Anxiety Inventory, the Chinese version of the Post-traumatic Stress Disorder Checklist for DSM-5, Difficulties in Emotional Regulation Scale, Rosenberg Self-Esteem Scale, and the Interpersonal Relationship Scale. The psychometric of International Trauma Questionnaire was examined by bivariate correlation analysis, independent t-test, and factor analysis. Results The study showed International Trauma Questionnaire had good reliability and validity and corresponded with previous studies. The result of confirmatory factor analysis supported the structure of complex post-traumatic stress disorder criteria in International Classification of Diseases-11. The 2-factor second-order model was the best-fitting model. The 6 symptom domains of complex post-traumatic stress disorder were also significantly correlated with depressive and anxiety symptoms. Conclusion It suggests that the Chinese version of International Trauma Questionnaire could be used for screening at-risk groups and future works for mental public health in Taiwan.
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Affiliation(s)
- Shih-Han Chiu
- Department of Counseling and Industrial/Organizational Psychology, Ming Chuan University, Taipei, Taiwan
| | - Yu-Lung Chiu
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Chin-Bin Yeh
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan
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Facer-Irwin E, Karatzias T, Bird A, Blackwood N, MacManus D. PTSD and complex PTSD in sentenced male prisoners in the UK: prevalence, trauma antecedents, and psychiatric comorbidities. Psychol Med 2022; 52:2794-2804. [PMID: 33431085 PMCID: PMC9647511 DOI: 10.1017/s0033291720004936] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/24/2020] [Accepted: 11/25/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) is highly prevalent within prison settings, yet is often unidentified and undertreated. Complex PTSD (CPTSD) has been recently formally recognised in the International Classification of Diseases 11th revision (ICD-11) diagnostic framework but has never been explored in prison settings. We aimed to establish the prevalence of ICD-11 PTSD and CPTSD in a UK prison sample using a validated instrument (the International Trauma Questionnaire). We also explored the associations of these two diagnoses with their traumatic antecedents and psychiatric comorbidities. METHOD Randomly selected male, sentenced prisoners in a large medium-security prison in south London (N = 221) took part in a clinical interview which assessed PTSD, CPTSD, trauma histories, and comorbid disorders. Multinomial logistic regression was performed to examine differences between those with PTSD or CPTSD, and those without symptoms. RESULTS A total of 7.7% (95% CI 4.5-12) of the male sentenced prisoners met diagnostic criteria for ICD-11 PTSD and 16.7% (95% CI 12.1-22.3) for CPTSD. A diagnosis of PTSD was associated with more recent traumatic exposure, comorbid generalised anxiety disorder, alcohol dependence, and Cluster B personality disorder. A diagnosis of CPTSD was associated with complex trauma exposure antecedents (developmental, interpersonal, repeated, or multiple forms), and comorbid with anxiety, depression, substance misuse, psychosis, and ADHD. CONCLUSIONS This study confirms that CPTSD is a very common and comorbid condition in male prisoners. There is an urgent need to develop trauma-informed care in prisons.
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Affiliation(s)
- Emma Facer-Irwin
- Researcher; Forensic and Neurodevelopmental Sciences Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
| | - Thanos Karatzias
- Professor of Mental Health; School of Health & Social Care, Edinburgh Napier University, Edinburgh, Scotland
- Clinical & Health Psychologist; Rivers Centre for Traumatic Stress, NHS Lothian, Edinburgh, Scotland
| | - Annie Bird
- Research Assistant; Forensic and Neurodevelopmental Sciences Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
| | - Nigel Blackwood
- Clinical Reader in Forensic Psychiatry; Forensic and Neurodevelopmental Sciences Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
- Consultant Forensic Psychiatrist; HMP Wandsworth, South London & Maudsley NHS Foundation Trust, London, England
| | - Deirdre MacManus
- Clinical Reader in Forensic Psychiatry; Forensic and Neurodevelopmental Sciences Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
- Consultant Forensic Psychiatrist; London and South East NHS Veterans’ Mental Health Service, Camden and Islington NHS Trust; HMP Wandsworth, South London and Maudsley NHS Trust, London, England
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Dreßing HR, Foerster K. [Diagnostic Criteria of PTSD in ICD10, ICD-11 and DSM 5: Relevance for expert opinion]. Psychother Psychosom Med Psychol 2022; 72:258-271. [PMID: 35679854 DOI: 10.1055/a-1770-3972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The diagnostic criteria of PTSD differ in the ICD-10, ICD-11 and DSM-5 manuals. The main diagnostic criteria are presented. The psychopathological findings obtained in a structured interview are essential for the diagnosis. Three case studies are used to illustrate the expert assessment in criminal law, accident insurance and victim compensation law.
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Ivanišević M, Knežević M, Kojović N, Starčević A. Volumetric analysis of hippocampus and amygdala in animal model of PTSD. MEDICINSKI PODMLADAK 2022. [DOI: 10.5937/mp73-33408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Introduction: Posttraumatic stress disorder (PTSD) represents a mental disorder that occurs after life threatening situations. Animal models in psychiatry studies represent a base from which results and conclusions can be translated to human population. Amygdala and hippocampus are important neuroanatomical substrates possibly relevant to PTSD pathogenesis. Aim: The aim of study was to investigate volumetric changes that occur in hippocampus and amygdala related to PTSD animal model. Material and methods: Experiment was conducted on adult male Wistar rats. They were two groups, experimental and control. Experimental paradigm lasted for 31 days during which animals were exposed to acute and chronic stress. Acute stress was performed on the first day and ten days later. In between, animals were exposed to chronic social stress by pair rotations. Before second acute stress exposure, experimental group was divided in two subgroups from which one received dexamethasone dose. After the experiment ended, animals were sacrificed and the brain was extracted. Following the freezing process, brain tissue samples were cut and prepared for microscopy using. This was followed by volumetric analysis of hippocampus and amygdala. Measurements were performed bilaterally using Image Tool 3.0 Software. Results: Results showed volumetric changes in these structures. Hippocampus had smaller volume in the experimental subgroup without dexamethasone (x̄ = 0.6144) compared to the control group (x̄ = 0.9688). Amygdala, as well, had smaller volumes in same subgroup compared to the control (x̄ = 10.0156 compared to x̄ = 11.5041). Conclusion: Our study provided results in agreement with several previous studies on rodents and contributes to the assumption that hippocampus and amygdala have significance in PTSD etiology. Further goal is to expand our study which will help us to better understand the disorder itself.
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Dreßing HR, Foerster K. [Diagnostic Criteria of PTSD in ICD10, ICD-11 and DSM 5: Relevance for expert opinion]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2021; 89:578-592. [PMID: 34740280 DOI: 10.1055/a-1542-8497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
The diagnostic criteria of PTSD differ in the ICD-10, ICD-11 and DSM-5 manuals. The main diagnostic criteria are presented. The psychopathological findings obtained in a structured interview are essential for the diagnosis. Three case studies are used to illustrate the expert assessment in criminal law, accident insurance and victim compensation law.
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11
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Gaebel W, Stricker J, Kerst A. Changes from ICD-10 to ICD-11 and future directions in psychiatric classification
. DIALOGUES IN CLINICAL NEUROSCIENCE 2021; 22:7-15. [PMID: 32699501 PMCID: PMC7365296 DOI: 10.31887/dcns.2020.22.1/wgaebel] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
This article provides a brief overview of the changes from ICD-10
to ICD-11 regarding the classification of mental, behavioral, or
neurodevelopmental disorders. These changes include a new chapter structure, new
diagnostic categories, changes in diagnostic criteria, and steps towards dimensionality.
Additionally, we review evaluative field studies of ICD-11, which
provide preliminary evidence for higher reliability and clinical utility of
ICD-11 compared with ICD-10. Despite the extensive
revision process, changes from ICD-10 to ICD-11 were
relatively modest in that both systems are categorical, classifying mental phenomena
based on self-reported or clinically observable symptoms. Other recent approaches to
psychiatric nosology and classification (eg, neurobiology-based or hierarchical) are
discussed. To meet the needs of different user groups, we propose expanding the stepwise
approach to diagnosis introduced for some diagnostic categories in
ICD-11, which includes categorical and dimensional
elements.
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Affiliation(s)
- Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Klinikum Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany; WHO Collaborating Centre for Quality Assurance and Empowerment in Mental Health, Düsseldorf, Germany
| | - Johannes Stricker
- Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Klinikum Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany; WHO Collaborating Centre for Quality Assurance and Empowerment in Mental Health, Düsseldorf, Germany
| | - Ariane Kerst
- Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Klinikum Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany; WHO Collaborating Centre for Quality Assurance and Empowerment in Mental Health, Düsseldorf, Germany
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Kar N, Sharma A. Matching the Symptom Profile of Adolescent Disaster Survivors with Changing Diagnostic Criteria of Posttraumatic Stress Disorder: Focus on ICD-11. Indian J Psychol Med 2021; 43:100-105. [PMID: 34376883 PMCID: PMC8313442 DOI: 10.1177/0253717620926848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Considering recent changes in the diagnostic guidelines for posttraumatic stress disorder (PTSD), it has become imperative to review their influence, especially on the symptoms related to children and adolescent victims of disasters. We intended to assess the profile of posttraumatic stress symptoms (PTSS) of adolescents following an earthquake, especially the gender differences, in relation to the changing diagnostic guidelines, particularly ICD-11. METHODS In a cross-sectional study, PTSS and functional impairments were evaluated in school-going adolescents in Nepal, one year after the 2015 earthquake, using the Child Posttraumatic Stress Scale (CPSS). RESULTS A considerable proportion of adolescent survivors of the earthquake had PTSS. Most common ones were intrusive thoughts (46.7%), avoiding thoughts, conversations and feelings about the disaster (44.2%), decreased interest in activities (40.0%), distress with reminders (35.6%), and concentration problems (35.6%). Females had a higher prevalence for all the PTSS compared with males, except for avoiding thought, conversations, feelings, and being overly careful/vigilant. Proportion of adolescents who met symptomatic criteria for PTSD diagnosis in different systems ranged from 14.7% in DSM-5 to 15.6% in ICD-11 three-factor model, and 22.2% in DSM-IV and 31.7% in ICD-10. Inclusion of the criterion of significant functional impairment changed the proportions to 10.0%, 10.3%, 12.8%, and 16.4%, respectively. In all of the diagnostic systems, higher proportions of females had possible PTSD. CONCLUSION Adolescent females had a higher prevalence for most of the PTSS and at the diagnostic level. It appears that for adolescents, diagnosis of PTSD in ICD-11 has become more robust with a focus on core symptoms and having a functional impairment criterion.
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Affiliation(s)
- Nilamadhab Kar
- Black Country Healthcare NHS Foundation Trust, Wolverhampton, UK
| | - Asmita Sharma
- Dept. of Paediatric Nursing, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
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13
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Ho GWK, Karatzias T, Vallières F, Bondjers K, Shevlin M, Cloitre M, Ben-Ezra M, Bisson JI, Roberts NP, Astill Wright L, Hyland P. Complex PTSD symptoms mediate the association between childhood trauma and physical health problems. J Psychosom Res 2021; 142:110358. [PMID: 33508705 DOI: 10.1016/j.jpsychores.2021.110358] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 01/05/2021] [Accepted: 01/10/2021] [Indexed: 11/17/2022]
Abstract
UNLABELLED The ICD-11 reconceptualized Posttraumatic Stress Disorder (PTSD) as a narrowly defined fear-based disorder, and introduced Complex PTSD (CPTSD) as a new diagnosis comprised of PTSD symptoms and symptoms of 'Disturbances in Self-Organization' (DSO) that are more reflective of general dysphoria. Previous research suggests that PTSD symptoms mediate the association between childhood trauma and physical health problems, including cardiovascular disease. No study has yet assessed how posttraumatic stress symptoms, as outlined in the ICD-11, influence the association between childhood trauma and somatic problems in adulthood. OBJECTIVE This cross-sectional descriptive study examined whether PTSD and DSO symptoms mediated the associations between childhood physical and sexual abuse and childhood emotional abuse and neglect and somatic problems and cardiovascular diseases (CVD) load in adulthood. METHODS General adult population samples from Ireland (N = 1020) and the United Kingdom (N = 1051) completed self-report questionnaires online. RESULTS Structural equation modelling results indicated that PTSD and DSO symptoms fully mediated the association between both forms of childhood trauma and somatic problems, and that PTSD symptoms but not DSO symptoms fully mediated the association between childhood trauma and CVD load. CONCLUSION Psychological interventions that effectively treat CPTSD symptoms may have the added benefit of reducing risk of physical health problems.
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Affiliation(s)
- Grace W K Ho
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong.
| | - Thanos Karatzias
- School of Health & Social Care, Edinburgh Napier University, Edinburgh, Scotland, UK; Rivers Centre for Traumatic Stress, NHS Lothian, Edinburgh, Scotland, UK
| | - Frédérique Vallières
- Trinity Centre for Global Health, University of Dublin, Trinity College, Dublin, Ireland
| | | | - Mark Shevlin
- School of Psychology, Ulster University, Derry, Ireland
| | - Marylène Cloitre
- National Center for PTSD Dissemination and Training Division, VA Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry and Behavioural Sciences, Stanford University, Stanford, CA, USA
| | | | - Jonathan I Bisson
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, UK
| | - Neil P Roberts
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, UK; Psychology and Psychological Therapies Directorate, Cardiff & Vale University Health Board, Cardiff, UK
| | - Laurence Astill Wright
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, UK
| | - Philip Hyland
- Trinity Centre for Global Health, University of Dublin, Trinity College, Dublin, Ireland; Department of Psychology, Maynooth University, Kildare, Ireland
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14
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Howard A, Agathos JA, Phelps A, Cowlishaw S, Terhaag S, Arjmand HA, Armstrong R, Berle D, Steel Z, Brewer D, Human B, Herwig A, Wigg C, Kemp P, Wellauer R, O'Donnell ML. Prevalence and treatment implications of ICD-11 complex PTSD in Australian treatment-seeking current and ex-serving military members. Eur J Psychotraumatol 2021; 12:1844441. [PMID: 34025910 PMCID: PMC8128128 DOI: 10.1080/20008198.2020.1844441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Background: Despite growing support for the distinction between posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) as separate diagnoses within the ICD-11 psychiatric taxonomy, the prevalence and treatment implications of CPTSD among current and ex-serving military members have not been established. Objective: The study aims were to a) establish the prevalence of provisional ICD-11 CPTSD diagnosis relative to PTSD in an Australian sample of treatment-seeking current and ex-serving military members, and b) examine the implications of CPTSD diagnosis for intake profile and treatment response. Methods: The study analysed data collected routinely from Australian-accredited treatment programmes for military-related PTSD. Participants were 480 current and ex-serving military members in this programmes who received a provisional ICD-11 diagnosis of PTSD or CPTSD at intake using proxy measures. Measures of PTSD symptoms, disturbances in self-organisation, psychological distress, mental health and social relationships were considered at treatment intake, discharge, and 3-month follow-up. Results: Among participants with a provisional ICD-11 diagnosis, 78.2% were classified as having CPTSD, while 21.8% were classified as having PTSD. When compared to ICD-11 PTSD, participants with CPTSD reported greater symptom severity and psychological distress at intake, and lower scores on relationship and mental health dimensions of the quality of life measure. These relative differences persisted at each post-treatment assessment. Decreases in PTSD symptoms between intake and discharge were similar across PTSD (d RM = -0.81) and CPTSD (d RM = -0.76) groups, and there were no significant post-treatment differences between groups when controlling for initial scores. Conclusions: CPTSD is common among treatment-seeking current and ex-serving military members, and is associated with initially higher levels of psychiatric severity, which persist over time. Participants with CPTSD were equally responsive to PTSD treatment; however, the tendency for those with CPTSD to remain highly symptomatic post-treatment suggests additional treatment components should be considered.
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Affiliation(s)
- Alexandra Howard
- Phoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Australia
| | - James A Agathos
- Phoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Australia
| | - Andrea Phelps
- Phoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Australia
| | - Sean Cowlishaw
- Phoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Australia.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sonia Terhaag
- Phoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Australia
| | - Hussein-Abdullah Arjmand
- Phoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Australia
| | - Renee Armstrong
- Phoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Australia
| | - David Berle
- Discipline of Clinical Psychology, University of Technology Sydney, Sydney, Australia
| | - Zachary Steel
- Discipline of Clinical Psychology, University of Technology Sydney, Sydney, Australia.,School of Psychiatry, University of New South Wales, Sydney, Australia.,St John of God Mental Health Services, Richmond Hospital, Sydney, Australia
| | | | | | | | - Christopher Wigg
- Veteran Mental Health Rehabilitation Unit, The Jamie Larcombe Centre, Adelaide, Australia
| | - Paul Kemp
- Veteran Mental Health Rehabilitation Unit, The Jamie Larcombe Centre, Adelaide, Australia
| | | | - Meaghan L O'Donnell
- Phoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Australia
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15
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Dreßing H, Foerster K. Traumafolgestörungen in ICD-10, ICD-11 und DSM-5. FORENSISCHE PSYCHIATRIE PSYCHOLOGIE KRIMINOLOGIE 2021. [DOI: 10.1007/s11757-020-00645-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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16
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Bachmann CJ, Czwikla J, Jacobs H, Fegert JM, Hoffmann F. Prävalenz und Versorgung der Posttraumatischen Belastungsstörung in Deutschland: Eine bundesweite Auswertung von Krankenkassendaten aus den Jahren 2008 und 2017. PSYCHIATRISCHE PRAXIS 2021; 48:316-323. [DOI: 10.1055/a-1347-5410] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Zusammenfassung
Ziel der Studie Gewinnung von Daten zur Prävalenz sowie medizinischen und psychotherapeutischen Versorgung von Menschen mit PTBS in Deutschland.
Methodik Aus Sekundärdaten der BARMER wurde die Prävalenz von PTBS-Diagnosen (ICD-10: F43.1) sowie psychiatrischen Komorbiditäten, Psychotherapie und Pharmakotherapie für diese Versichertengruppe abgeleitet. Ergänzend wurden Prävalenztrends (2008 vs. 2017) berechnet.
Ergebnisse Im Jahr 2017 lag die PTBS-Diagnoseprävalenz bei 0,7 % (Frauen: 0,9 %; Männer: 0,4 %); gegenüber 0,3 % in 2008. 74,4 % aller Versicherten mit PTBS-Diagnose erhielten ambulante Psychotherapie, 43,6 % erhielten Antidepressiva (meistverordnet: Venlafaxin) und 14,4 % Antipsychotika (häufigste Substanz: Quetiapin).
Schlussfolgerung Im untersuchten Zeitraum hat sich die Diagnosehäufigkeit von PTBS mehr als verdoppelt. Sie liegt jedoch weiterhin unter der in epidemiologischen Studien ermittelten Prävalenz, was auf Potenzial für eine verbesserte diagnostische Erkennung von PTBS hindeutet.
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Affiliation(s)
| | - Jonas Czwikla
- Abteilung Ambulante Versorgung und Pharmakoepidemiologie, Department für Versorgungsforschung, Carl von Ossietzky Universität Oldenburg
| | - Hannes Jacobs
- Abteilung Ambulante Versorgung und Pharmakoepidemiologie, Department für Versorgungsforschung, Carl von Ossietzky Universität Oldenburg
| | - Jörg M. Fegert
- Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie, Universitätsklinikum Ulm
| | - Falk Hoffmann
- Abteilung Ambulante Versorgung und Pharmakoepidemiologie, Department für Versorgungsforschung, Carl von Ossietzky Universität Oldenburg
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17
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Lechner-Meichsner F, Steil R. A clinician rating to diagnose CPTSD according to ICD-11 and to evaluate CPTSD symptom severity: Complex PTSD Item Set additional to the CAPS (COPISAC). Eur J Psychotraumatol 2021; 12:1891726. [PMID: 36877471 PMCID: PMC9754030 DOI: 10.1080/20008198.2021.1891726] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
Background: Researchers who wish to study stress-related disorders need to use valid, reliable, and sensitive instruments and the Clinician-administered PTSD Scale (CAPS) constitutes the gold standard in the assessment of posttraumatic stress disorder (PTSD). While the CAPS corresponds with PTSD criteria according to the DSM-5, researchers face a challenge with the forthcoming ICD-11: ICD-11 introduces the new diagnosis Complex PTSD (CPTSD) that does not exist in DSM-5.Objective: Researchers as well as clinicians will need to assess the incidence and prevalence of CPTSD and will want to evaluate treatment effects according to both criteria sets. However, using two clinician-rated interviews is often not feasible and a burden to patients, particularly in psychotherapy research.Method & Results: We have therefore developed the Complex PTSD Item Set additional to the CAPS (COPISAC). This clinician rating is an easy-to-use and economic addition to the CAPS that permits assessing diagnosis and evaluating symptom severity of CPTSD. COPISAC consists of three items that assess disturbances in self-regulation including prompts for symptom description and frequency, and two additional items assessing impairment. Diagnostic status and severity ratings for CPTSD are possible. Items that account for the specific forms of trauma which the ICD-11 describes as precursors of CPTSD (e.g. torture, being enslaved) are further suggested as additions to the Life Events Checklist.Conclusion: With an introduction of COPISAC at this point, we aim at suggesting an easy transition into diagnosing CPTSD and evaluating its course over treatment.
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Affiliation(s)
| | - Regina Steil
- Department of Psychology, Goethe University Frankfurt, Frankfurt, Germany.,Center for Mind, Brain and Behavior, Center for Mind, Brain and Behavior (CMBB, University of Marburg and Justus Liebig University Giessen, Germany
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18
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Møller L, Augsburger M, Elklit A, Søgaard U, Simonsen E. Traumatic experiences, ICD-11 PTSD, ICD-11 complex PTSD, and the overlap with ICD-10 diagnoses. Acta Psychiatr Scand 2020; 141:421-431. [PMID: 32049369 PMCID: PMC7317379 DOI: 10.1111/acps.13161] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/09/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVES This study investigated the frequency of traumatic experiences, prevalence rates of ICD-11 post-traumatic stress disorder (PTSD) and complex PTSD (CPTSD), and overlap with ICD-10 classified disorders in outpatient psychiatry. METHOD Overall, 165 Danish psychiatric outpatients answered the International Trauma Questionnaire, the Life Event Checklist, and the World Health Organization Well-being Index. ICD-10 diagnoses were extracted from the hospital record. Chi-square analysis, t-tests, and conditional probability analysis were used for statistical analysis. RESULTS Nearly, all patients (94%) had experienced at least one traumatic event. CPTSD (36%) was more common than PTSD (8%) and had considerable overlap with ICD-10 affective, anxiety, PTSD, personality, adjustment and stress-reaction disorders, and behavioural and emotional disorders with onset usually occurring in childhood and adolescence. ICD-11 PTSD overlapped with ICD-10 anxiety, PTSD, adjustment and stress-reaction disorders, and behavioural and emotional disorders with onset usually occurring in childhood and adolescence. A subgroup of patients with ICD-10 PTSD (23%) did not meet criteria for ICD-11 PTSD or CPTSD. CONCLUSION Traumatic experiences are common. ICD-11 CPTSD is a highly prevalent disorder in psychiatric outpatients. One quarter with ICD-10 PTSD did not meet criteria for either ICD-11 PTSD or CPTSD. PTSD and CPTSD had considerable overlap with ICD-10 disorders.
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Affiliation(s)
- L. Møller
- Psychiatric Research Unit, Region ZealandSlagelseDenmark,Department of Clinical MedicineFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark,Clinic for Traumatized Refugees, Region ZealandSlagelseDenmark
| | - M. Augsburger
- Division of PsychopathologyDepartment of PsychologyUniversity of ZurichZurichSwitzerland
| | - A. Elklit
- Department of PsychologyNational Centre of PsychotraumatologyUniversity of Southern DenmarkOdenseDenmark
| | - U. Søgaard
- Psychiatric Research Unit, Region ZealandSlagelseDenmark,Department of Clinical MedicineFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - E. Simonsen
- Psychiatric Research Unit, Region ZealandSlagelseDenmark,Department of Clinical MedicineFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
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19
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Maron-Katz A, Zhang Y, Narayan M, Wu W, Toll RT, Naparstek S, De Los Angeles C, Longwell P, Shpigel E, Newman J, Abu-Amara D, Marmar C, Etkin A. Individual Patterns of Abnormality in Resting-State Functional Connectivity Reveal Two Data-Driven PTSD Subgroups. Am J Psychiatry 2020; 177:244-253. [PMID: 31838870 DOI: 10.1176/appi.ajp.2019.19010060] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE A major challenge in understanding and treating posttraumatic stress disorder (PTSD) is its clinical heterogeneity, which is likely determined by various neurobiological perturbations. This heterogeneity likely also reduces the effectiveness of standard group comparison approaches. The authors tested whether a statistical approach aimed at identifying individual-level neuroimaging abnormalities that are more prevalent in case subjects than in control subjects could reveal new clinically meaningful insights into the heterogeneity of PTSD. METHODS Resting-state functional MRI data were recorded from 87 unmedicated PTSD case subjects and 105 war zone-exposed healthy control subjects. Abnormalities were modeled using tolerance intervals, which referenced the distribution of healthy control subjects as the "normative population." Out-of-norm functional connectivity values were examined for enrichment in cases and then used in a clustering analysis to identify biologically defined PTSD subgroups based on their abnormality profiles. RESULTS The authors identified two subgroups among PTSD cases, each with a distinct pattern of functional connectivity abnormalities with respect to healthy control subjects. Subgroups differed clinically on levels of reexperiencing symptoms and improved case-control discriminability and were detectable using independently recorded resting-state EEG data. CONCLUSIONS The results provide proof of concept for the utility of abnormality-based approaches for studying heterogeneity within clinical populations. Such approaches, applied not only to neuroimaging data, may allow detection of subpopulations with distinct biological signatures so that further clinical and mechanistic investigations can be focused on more biologically homogeneous subgroups.
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Affiliation(s)
- Adi Maron-Katz
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Yu Zhang
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Manjari Narayan
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Wei Wu
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Russell T Toll
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Sharon Naparstek
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Carlo De Los Angeles
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Parker Longwell
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Emmanuel Shpigel
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Jennifer Newman
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Duna Abu-Amara
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Charles Marmar
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
| | - Amit Etkin
- Department of Bioengineering (Toll) and Department of Psychiatry and Behavioral Sciences and Wu Tsai Neurosciences Institute (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin), Stanford University, Stanford, Calif.; VA Palo Alto Health Care System and Sierra Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto, Calif. (Maron-Katz, Zhang, Narayan, Wu, Toll, Naparstek, De Los Angeles, Longwell, Shpigel, Etkin); School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China (Wu); Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury and Department of Psychiatry (Newman, Abu-Amara, Marmar), New York University Langone School of Medicine, New York
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20
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James C. Towards trauma-informed legal practice: a review. PSYCHIATRY, PSYCHOLOGY, AND LAW : AN INTERDISCIPLINARY JOURNAL OF THE AUSTRALIAN AND NEW ZEALAND ASSOCIATION OF PSYCHIATRY, PSYCHOLOGY AND LAW 2020; 27:275-299. [PMID: 32944127 PMCID: PMC7476614 DOI: 10.1080/13218719.2020.1719377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Vicarious or secondary trauma experience has always been part of legal practice although many do not acknowledge the risk it can have on the mental health, well-being and performance of legal professionals. The listening to, observing and then detailing of traumatic events for the purposes of legal process in some cases may harm lawyers who need to work closely with clients, victims and witnesses. This article reviews the research on trauma in many areas of professional human services that could inform and improve our understanding of legal practice. It examines the discursive history of trauma and recent studies on lawyer well-being, before discussing the controversies about recognising vicarious trauma and the stigma against mental health concerns in the legal profession. The article concludes by reviewing options to assist law firms in considering trauma-informed policy, practices and supervision strategies and to help individual lawyers recognise the value of self-care.
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Affiliation(s)
- Colin James
- School of Legal Practice, ANU College of Law, Australian National University, NSW, Australia
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21
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Ramos-Lima LF, Waikamp V, Antonelli-Salgado T, Passos IC, Freitas LHM. The use of machine learning techniques in trauma-related disorders: a systematic review. J Psychiatr Res 2020; 121:159-172. [PMID: 31830722 DOI: 10.1016/j.jpsychires.2019.12.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 11/22/2019] [Accepted: 12/05/2019] [Indexed: 12/27/2022]
Abstract
Establishing the diagnosis of trauma-related disorders such as Acute Stress Disorder (ASD) and Posttraumatic Stress Disorder (PTSD) have always been a challenge in clinical practice and in academic research, due to clinical and biological heterogeneity. Machine learning (ML) techniques can be applied to improve classification of disorders, to predict outcomes or to determine person-specific treatment selection. We aim to review the existing literature on the use of machine learning techniques in the assessment of subjects with ASD or PTSD. We systematically searched PubMed, Embase and Web of Science for articles published in any language up to May 2019. We found 806 abstracts and included 49 studies in our review. Most of the included studies used multiple levels of biological data to predict risk factors or to identify early symptoms related to PTSD. Other studies used ML classification techniques to distinguish individuals with ASD or PTSD from other psychiatric disorder or from trauma-exposed and healthy controls. We also found studies that attempted to define outcome profiles using clustering techniques and studies that assessed the relationship among symptoms using network analysis. Finally, we proposed a quality assessment in this review, evaluating methodological and technical features on machine learning studies. We concluded that etiologic and clinical heterogeneity of ASD/PTSD patients is suitable to machine learning techniques and a major challenge for the future is to use it in clinical practice for the benefit of patients in an individual level.
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Affiliation(s)
- Luis Francisco Ramos-Lima
- Post-graduate Program in Psychiatry and Behavioral Sciences, Federal University at Rio Grande do Sul, Porto Alegre, Brazil; Psychological Trauma Research and Treatment Program (NET-Trauma), Clinical Hospital of Porto Alegre, Porto Alegre, Brazil.
| | - Vitoria Waikamp
- Post-graduate Program in Psychiatry and Behavioral Sciences, Federal University at Rio Grande do Sul, Porto Alegre, Brazil; Psychological Trauma Research and Treatment Program (NET-Trauma), Clinical Hospital of Porto Alegre, Porto Alegre, Brazil
| | - Thyago Antonelli-Salgado
- Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Clinical Hospital of Porto Alegre, Porto Alegre, Brazil
| | - Ives Cavalcante Passos
- Post-graduate Program in Psychiatry and Behavioral Sciences, Federal University at Rio Grande do Sul, Porto Alegre, Brazil; Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Clinical Hospital of Porto Alegre, Porto Alegre, Brazil
| | - Lucia Helena Machado Freitas
- Post-graduate Program in Psychiatry and Behavioral Sciences, Federal University at Rio Grande do Sul, Porto Alegre, Brazil; Psychological Trauma Research and Treatment Program (NET-Trauma), Clinical Hospital of Porto Alegre, Porto Alegre, Brazil
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22
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Gelernter J, Sun N, Polimanti R, Pietrzak R, Levey DF, Bryois J, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Pyarajan S, Sullivan PF, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Concato J, Zhao H, Stein MB. Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. Nat Neurosci 2019; 22:1394-1401. [PMID: 31358989 PMCID: PMC6953633 DOI: 10.1038/s41593-019-0447-7] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 06/11/2019] [Indexed: 12/20/2022]
Abstract
Post-traumatic stress disorder (PTSD) is a major problem among military veterans and civilians alike, yet its pathophysiology remains poorly understood. We performed a genome-wide association study and bioinformatic analyses, which included 146,660 European Americans and 19,983 African Americans in the US Million Veteran Program, to identify genetic risk factors relevant to intrusive reexperiencing of trauma, which is the most characteristic symptom cluster of PTSD. In European Americans, eight distinct significant regions were identified. Three regions had values of P < 5 × 10-10: CAMKV; chromosome 17 closest to KANSL1, but within a large high linkage disequilibrium region that also includes CRHR1; and TCF4. Associations were enriched with respect to the transcriptomic profiles of striatal medium spiny neurons. No significant associations were observed in the African American cohort of the sample. Results in European Americans were replicated in the UK Biobank data. These results provide new insights into the biology of PTSD in a well-powered genome-wide association study.
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Affiliation(s)
- Joel Gelernter
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA.
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
| | - Ning Sun
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
| | - Renato Polimanti
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Robert Pietrzak
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Daniel F Levey
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Julien Bryois
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Qiongshi Lu
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
| | - Yiming Hu
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
| | - Boyang Li
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
| | - Krishnan Radhakrishnan
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Mihaela Aslan
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Kei-Hoi Cheung
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Yuli Li
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, CT, USA
| | - Nallakkandi Rajeevan
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, CT, USA
| | - Frederick Sayward
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, CT, USA
| | - Kelly Harrington
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Quan Chen
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Saiju Pyarajan
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Patrick F Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Departments of Genetics and Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Rachel Quaden
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Yunling Shi
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Haley Hunter-Zinck
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - John Concato
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Hongyu Zhao
- VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
| | - Murray B Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
- Departments of Psychiatry and of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
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23
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Barbano AC, van der Mei WF, deRoon-Cassini TA, Grauer E, Lowe SR, Matsuoka YJ, O’Donnell M, Olff M, Qi W, Ratanatharathorn A, Schnyder U, Seedat S, Kessler RC, Koenen KC, Shalev AY. Differentiating PTSD from anxiety and depression: Lessons from the ICD-11 PTSD diagnostic criteria. Depress Anxiety 2019; 36:490-498. [PMID: 30681235 PMCID: PMC6548615 DOI: 10.1002/da.22881] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 11/29/2018] [Accepted: 01/12/2019] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Posttraumatic stress disorder (PTSD) is frequently associated with depression and anxiety, but the nature of the relationship is unclear. By removing mood and anxiety diagnostic criteria, the 11th edition of the International Classification of Diseases (ICD-11) aims to delineate a distinct PTSD phenotype. We examined the effect of implementing ICD-11 criteria on rates of codiagnosed depression and anxiety in survivors with recent PTSD. METHOD Participants were 1,061 survivors of traumatic injury admitted to acute care centers in Israel. ICD-10 and ICD-11 diagnostic rules were applied to the Clinician-Administered PTSD Scale for DSM-IV. Co-occurring disorders were identified using the Structured Clinical Interview for DSM-IV (SCID). Depression severity was measured by the Beck Depression Inventory-II (BDI-II). Assessments were performed 0-60 ("wave 1") and 90-240 ("wave 2") days after trauma exposure. RESULTS Participants identified by ICD-11 PTSD criteria were equally or more likely than those identified by the ICD-10 alone to meet depression or anxiety disorder diagnostic criteria (for wave 1: depressive disorders, OR [odds ratio] = 1.98, 95% CI [confidence interval] = [1.36, 2.87]; anxiety disorders, OR = 1.04, 95% CI = [0.67, 1.64]; for wave 2: depressive disorders, OR = 1.70, 95% CI = [1.00, 2.91]; anxiety disorders, OR = 1.04, 95% CI = [0.54, 2.01]). ICD-11 PTSD was associated with higher BDI scores (M = 23.15 vs. 17.93, P < 0.001 for wave 1; M = 23.93 vs. 17.94, P < 0.001 for wave 2). PTSD symptom severity accounted for the higher levels of depression in ICD-11 PTSD. CONCLUSIONS Despite excluding depression and anxiety symptom criteria, the ICD-11 identified equal or higher proportion of depression and anxiety disorders, suggesting that those are inherently associated with PTSD.
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Affiliation(s)
- Anna C. Barbano
- Department of Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY 10016 USA
| | - Willem F. van der Mei
- Department of Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY 10016 USA
| | - Terri A. deRoon-Cassini
- Department of Surgery, Medical College of Wisconsin, 9200 W. Wisconsin Ave, Milwaukee, WI 53226 USA
| | - Ettie Grauer
- Department of Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY 10016 USA
| | - Sarah Ryan Lowe
- Department of Psychology, Montclair State University, 1 Normal Avenue, Montclair, NJ 07043
| | - Yutaka J. Matsuoka
- Division of Health Care Research, Center for Public Health Sciences, National Cancer Center Japan, 5-1-1 Tsukiji, Chou-ku, Tokyo 104-0045, Japan
| | - Meaghan O’Donnell
- Pheonix Australia, Department of Psychiatry, The University of Melbourne, 300 Grattan Street, Parkville VIC 3050, Australia
| | - Miranda Olff
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Meibergdreef 5, 1105 AZ Amsterdam, The Netherlands
- Arq Psychotrauma Expert Group, Nienoord 11, 1112 XE Diemen, The Netherlands
| | - Wei Qi
- Department of Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY 10016 USA
| | - Andrew Ratanatharathorn
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY 10032 USA
| | - Ulrich Schnyder
- University of Zurich, Niederdorfstrasse 18, 8001 Zürich / Switzerland
| | - Soraya Seedat
- Department of Psychiatry, Stellenbosch University, Fransie van Zijl Drive, Parow, 7505, Cape Town, South Africa
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA 02115 USA
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Kresge 505, 677 Huntington Avenue, Kresge Building, Boston, MA 02115 USA
| | - Arieh Y. Shalev
- Department of Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY 10016 USA
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24
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Developments in Psychotraumatology: A Conceptual, Biological, and Cultural Update. CLINICAL PSYCHOLOGY IN EUROPE 2019. [DOI: 10.32872/cpe.v1i1.30294] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
This report discusses recent developments of psychotraumatology mainly related to the recently published ICD-11, but also from a societal point of view.The selected aspects of the development of this field will be presented as a scoping review.In the first section, the new concept of disorders specifically associated with stress and its relevant diagnostic groups (posttraumatic stress disorder [PTSD], complex PTSD, prolonged grief disorder, and adjustment disorder) are presented, with an emphasis on PTSD. The second section embeds these diagnostic concepts within a broader context. In particular, the concept of psychotraumatology is applied to the impact of adverse childhood experiences. More specifically, recent scientific developments are discussed with respect to biological stress research. In a third section, a global perspective is applied that reflects psychotraumatology as embedded in culturally-specific concepts. Lastly, societal developments are taken into consideration. This section focusses on recent processes of victim acknowledgement and compensation taking place in Europe and beyond. Examples are provided for how traumatic stress is perceived and processed in society. Concepts such as continuous stress and historical trauma are also discussed.Demands and opportunities of basic research and psychological interventions with a global focus are outlined.Psychotraumatology is an expanding field including both basic research and intervention-related research.Starting points of this new research area are not only potential traumatic events but also adverse childhood experiences.In a globalized world, cultural and societal factors play an increasingly important role in psychotraumatology.Psychotraumatology is an expanding field including both basic research and intervention-related research.Starting points of this new research area are not only potential traumatic events but also adverse childhood experiences.In a globalized world, cultural and societal factors play an increasingly important role in psychotraumatology.
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