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de Filippis R, Carbone EA, Rania M, Aloi M, Segura-Garcia C, De Fazio P. Applying a clinical staging model in patients affected by schizophrenia spectrum disorder. Front Psychiatry 2024; 15:1387913. [PMID: 39081534 PMCID: PMC11287066 DOI: 10.3389/fpsyt.2024.1387913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 06/24/2024] [Indexed: 08/02/2024] Open
Abstract
Background Clinical staging, already widespread in medicine, represents a new frontier in psychiatry. Our goal was to convert the existing theoretical staging model for schizophrenia into a feasible tool to have a timely assessment of patients' health status applicable in any psychiatric facility. Methods We assessed the empirical soundness of a staging model for schizophrenia spectrum disorders (SSDs), primarily centered on their current status. This model delineated six sequential stages (1, 2A, 2B, 3A, 3B, and 4) based on factors like symptom recurrence, persistence, and progression, including functional decline. Our analysis involved data from 137 individuals affected by SSDs. We examined 22 baseline variables, 23 construct-related variables, and 31 potentially modifiable clinical variables. Results The latter stages demonstrated significantly poorer outcomes compared to the early stages across various measures, indicating medium to large effect sizes and a dose-response pattern. This pattern confirmed the validity of the model. Notably, stages 2 and 3A exhibited pronounced differences in comparison to other stages, although variables from each validation category also distinguished between consecutive stages, particularly 3A and beyond. Conclusion Baseline predictors, such as familial predisposition to schizophrenia, neurodevelopmental impairment, childhood adversities, treatment delay, negative symptoms, neurological impairment, and inadequate early response to treatment, independently largely explained the staging variance. The clinical staging model, grounded in the extended course of psychosis, exhibited sound validity and feasibility, even without the use of biological or neuroimaging markers, which could greatly improve the sensitivity of the model. These findings provide insights into stage indicators and predictors of clinical stages from the onset of psychosis.
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Affiliation(s)
- Renato de Filippis
- Psychiatry Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Elvira Anna Carbone
- Psychiatry Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Marianna Rania
- Outpatient Unit for Clinical Research and Treatment of Eating Disorders, University Hospital Renato Dulbecco, Catanzaro, Italy
| | - Matteo Aloi
- Psychiatry Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Cristina Segura-Garcia
- Psychiatry Unit, Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Pasquale De Fazio
- Psychiatry Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
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Dell'Osso B, Cremaschi L, Macellaro M, Cafaro R, Girone N. Bipolar disorder staging and the impact it has on its management: an update. Expert Rev Neurother 2024; 24:565-574. [PMID: 38753491 DOI: 10.1080/14737175.2024.2355264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 05/10/2024] [Indexed: 05/18/2024]
Abstract
INTRODUCTION The longitudinal course of bipolar disorder (BD) is associated with an active process of neuroprogression, characterized by structural brain alterations and progressive functional impairment. In the last decades, a growing need of a standardized staging model for BD arose, with the aim of a more appropriate definition of stage-specific clinical manifestations and the identification of more customized therapeutic tools. AREAS COVERED The authors review the literature on clinical aspects, neurobiological correlates and treatment issues related to BD progression. Thereafter, they address the definition, constructs, and evolution of the staging concept, focusing on the clinical applications of BD staging models available in literature. EXPERT OPINION Although several staging models for BD have been proposed to date, their application in clinical practice is still relatively scant. This may have a detrimental impact on the clinical and therapeutic management of BD, in terms of early and proper diagnosis as well as tailored treatment interventions according to the different stages of illness. Future research efforts should tend to the integration of recent insights on neuroimaging and epigenetic markers, toward a standardized and multidimensional staging model.
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Affiliation(s)
- Bernardo Dell'Osso
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
- CRC "Aldo Ravelli" for Neurotechnology and Experimental Brain Therapeutics, University of Milan, Milan, Italy
- Department of Psychiatry and Behavioural Sciences, Stanford University, Stanford, CA, USA
| | - Laura Cremaschi
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Monica Macellaro
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
- CRC "Aldo Ravelli" for Neurotechnology and Experimental Brain Therapeutics, University of Milan, Milan, Italy
| | - Rita Cafaro
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Nicolaja Girone
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
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Conjaerts JAP, Videler AC, Schepman R, Elfeddali I, Rosowsky E, van Alphen SPJ. Clinical Staging for Personality Disorders in Older Adults. J Geriatr Psychiatry Neurol 2024:8919887241254467. [PMID: 38809516 DOI: 10.1177/08919887241254467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
OBJECTIVE This scientific research aimed to investigate the feasibility of implementing a clinical staging (CS) model for personality disorders (PDs) in older adults. The CS model could provide valuable insights into the life course of personality pathology, prognosis, and treatment decisions for PDs in older adults. METHODS/DESIGN The study employed an international Delphi methodology with three rounds and involved 21 experts. RESULTS Consensus was achieved on 12 out of 17 statements, confirming the viability of a CS model for PDs in older adults. The proposed model incorporates the Alternative Model for PDs, criterion A, and integrates life course information, distinguishing between chronic PD, re-emergent PD, late-onset PD, and past PD. CONCLUSION The findings suggest that international experts support the implementation of a CS model for PDs in older adults, considering both the severity of personality functioning and the retrospective life course of PD expression.
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Affiliation(s)
- Jeroen A P Conjaerts
- Clinical Center of Excellence for Personality Disorders in Older Adults, Mondriaan Mental Health Center, Heerlen-Maastricht, The Netherlands
| | - Arjan C Videler
- Clinical Center of Excellence of Personality Disorders and Developmental Disorders in Older Adults, GGz Breburg Mental Health Center, PersonaCura, Tilburg, The Netherlands
- Tranzo department, Tilburg University, Tilburg, The Netherlands
- Clinical Centre of Excellence Body Mind and Health, GGz Breburg Mental Health Center, Tilburg, The Netherlands
| | - Roel Schepman
- Clinical Center of Excellence of Personality Disorders and Developmental Disorders in Older Adults, GGz Breburg Mental Health Center, PersonaCura, Tilburg, The Netherlands
| | - Iman Elfeddali
- Clinical Center of Excellence of Personality Disorders and Developmental Disorders in Older Adults, GGz Breburg Mental Health Center, PersonaCura, Tilburg, The Netherlands
- Tranzo department, Tilburg University, Tilburg, The Netherlands
- Clinical Centre of Excellence Body Mind and Health, GGz Breburg Mental Health Center, Tilburg, The Netherlands
| | - Erlene Rosowsky
- Department of Clinical Psychology William James College, Newton, MA, USA
| | - Sebastiaan P J van Alphen
- Clinical Center of Excellence for Personality Disorders in Older Adults, Mondriaan Mental Health Center, Heerlen-Maastricht, The Netherlands
- Personality and Psychopathology Research Group (PEPS), Department of Psychology (PE), Vrije Universiteit Brussel (VUB), Brussels, Belgium
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Tomba E, Tecuta L, Gardini V, Tomei G, Lo Dato E. Staging models in eating disorders: A systematic scoping review of the literature. Compr Psychiatry 2024; 131:152468. [PMID: 38460478 DOI: 10.1016/j.comppsych.2024.152468] [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: 01/11/2024] [Revised: 02/28/2024] [Accepted: 03/02/2024] [Indexed: 03/11/2024] Open
Abstract
Eating Disorders (ED) are characterized by low remission rates, treatment drop-out, and residual symptoms. To improve assessment and treatment of ED, the staging approach has been proposed. This systematic scoping review is aimed at mapping the existing staging models that explicitly propose stages of the progression of ED. A systematic search of PubMed, PsycINFO, Scopus was conducted with the terms staging, anorexia nervosa, bulimia nervosa, binge-eating disorders, eating disorders. Eleven studies met inclusion criteria presenting nine ED staging models, mostly for anorexia nervosa. Three were empirically tested, one of which was through an objective measure specifically developed to differentiate between stages. Most staging models featured early stages in which the exacerbation of EDs unfolds and acute phases are followed by chronic stages. Intermediate stages were not limited to acute stages, but also residual phases, remission, relapse, and recovery. The criteria for stage differentiation encompassed behavioral, psychological, cognitive, and physical features including body mass index and illness duration. One study recommended stage-oriented interventions. The current review underscores the need to empirically test the available staging models and to develop and test new proposals of staging models for other ED populations. The inclusion of criteria based on medical features and biomarkers is recommended. Staging models can potentially guide assessment and interventions in daily clinical settings.
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Affiliation(s)
- E Tomba
- Department of Psychology, University of Bologna, Bologna, Italy.
| | - L Tecuta
- Department of Psychology, University of Bologna, Bologna, Italy
| | - V Gardini
- Department of Psychology, University of Bologna, Bologna, Italy
| | - G Tomei
- Department of Psychology, University of Bologna, Bologna, Italy
| | - E Lo Dato
- Department of Psychology, University of Bologna, Bologna, Italy
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Xiao C, Zhu B, Wei J. Letter to the editor: In-depth understanding of prolonged grief disorder: Analysis based on a development atlas. J Psychiatr Res 2024; 173:163-165. [PMID: 38537482 DOI: 10.1016/j.jpsychires.2024.03.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 03/12/2024] [Accepted: 03/21/2024] [Indexed: 04/17/2024]
Affiliation(s)
- Chunfeng Xiao
- Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China.
| | - Boheng Zhu
- Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China
| | - Jing Wei
- Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, PR China.
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Raposo de Almeida E, van der Tuin S, Muller MK, van den Berg D, Wang YP, Veling W, Booij SH, Wigman JTW. The associations between daily reports of loneliness and psychotic experiences in the early risk stages for psychosis. Early Interv Psychiatry 2024. [PMID: 38661051 DOI: 10.1111/eip.13537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
AIM Bi-directional associations between loneliness and psychotic experiences (PEs) have been reported, but the mechanisms underlying these associations are unknown. This study aims to explore associations between daily reports of loneliness and PEs, and test differences in this association across young adult individuals at different levels of risk for psychosis. METHODS We analysed 90-day diary data on loneliness and PEs from N = 96 participants (mean age 24.7, range 18-35, 77% female) divided into 4 subgroups, each indexing increased levels of risk for psychosis according to the clinical staging model: 'psychometric' (n = 25), 'low' (n = 27), 'mild' (n = 24), and 'ultra-high'(n = 20) risk. Multilevel vector autoregressive models examined within-day (contemporaneous) and between-day (temporal) associations between loneliness and PEs for the total sample. Next, these associations were compared across subgroups. RESULTS Loneliness and PEs were significantly associated contemporaneously (partial correlation B = 0.14) but not temporally. Subgroup membership moderated both contemporaneous and temporal associations. The contemporaneous association between loneliness and PEs was stronger in the low-risk subgroup compared to the mild-risk (B = -0.35, p < .01) and ultra-high-risk (B = -0.36, p < .01) subgroups. The temporal association between loneliness on the previous day and PEs on the current day was stronger in mild-risk subgroup compared to the ultra-high-risk subgroup (B = -0.03, p = .03). After adjusting for multiple testing, only the contemporaneous-but not the temporal-associations remained statistically significant. CONCLUSIONS Loneliness is associated with PEs in individuals at risk for psychosis, particularly in those with low to mild symptoms. Our findings tentatively suggest that especially individuals with low expressions of PEs may be more sensitive to social context, but future studies are needed to replicate and further unravel the potentially stage-specific interplay between social context and PEs.
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Affiliation(s)
- Esdras Raposo de Almeida
- Interdisciplinary Center of Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
- Institute & Department of Psychiatry (LIM-23), Hospital das Clinicas, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Sara van der Tuin
- Interdisciplinary Center of Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - Merel K Muller
- Interdisciplinary Center of Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - David van den Berg
- Department of Psychosis Research, Parnassia Psychiatric Institute, The Hague, The Netherlands
- Department of Clinical Psychology, VU University and Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Yuan-Pang Wang
- Institute & Department of Psychiatry (LIM-23), Hospital das Clinicas, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Wim Veling
- University Center of Psychiatry, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sanne H Booij
- Interdisciplinary Center of Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - Johanna T W Wigman
- Interdisciplinary Center of Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
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Fava GA. Clinical Use of Staging in Psychiatry. PSYCHOTHERAPY AND PSYCHOSOMATICS 2024; 93:143-150. [PMID: 38636469 DOI: 10.1159/000538526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 03/18/2024] [Indexed: 04/20/2024]
Affiliation(s)
- Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
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8
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Nogovitsyn N, Ballester P, Lasby M, Dunlop K, Ceniti AK, Squires S, Rowe J, Ho K, Suh J, Hassel S, Souza R, Casseb RF, Harris JK, Zamyadi M, Arnott SR, Strother SC, Hall G, Lam RW, Poppenk J, Lebel C, Bray S, Metzak P, MacIntosh BJ, Goldstein BI, Wang J, Rizvi SJ, MacQueen G, Addington J, Harkness KL, Rotzinger S, Kennedy SH, Frey BN. An empirical analysis of structural neuroimaging profiles in a staging model of depression. J Affect Disord 2024; 351:631-640. [PMID: 38290583 DOI: 10.1016/j.jad.2024.01.246] [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: 10/12/2023] [Revised: 01/16/2024] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
We examine structural brain characteristics across three diagnostic categories: at risk for serious mental illness; first-presenting episode and recurrent major depressive disorder (MDD). We investigate whether the three diagnostic groups display a stepwise pattern of brain changes in the cortico-limbic regions. Integrated clinical and neuroimaging data from three large Canadian studies were pooled (total n = 622 participants, aged 12-66 years). Four clinical profiles were used in the classification of a clinical staging model: healthy comparison individuals with no history of depression (HC, n = 240), individuals at high risk for serious mental illness due to the presence of subclinical symptoms (SC, n = 80), first-episode depression (FD, n = 82), and participants with recurrent MDD in a current major depressive episode (RD, n = 220). Whole-brain volumetric measurements were extracted with FreeSurfer 7.1 and examined using three different types of analyses. Hippocampal volume decrease and cortico-limbic thinning were the most informative features for the RD vs HC comparisons. FD vs HC revealed that FD participants were characterized by a focal decrease in cortical thickness and global enlargement in amygdala volumes. Greater total amygdala volumes were significantly associated with earlier onset of illness in the FD but not the RD group. We did not confirm the construct validity of a tested clinical staging model, as a differential pattern of brain alterations was identified across the three diagnostic groups that did not parallel a stepwise clinical staging approach. The pathological processes during early stages of the illness may fundamentally differ from those that occur at later stages with clinical progression.
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Affiliation(s)
- Nikita Nogovitsyn
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
| | - Pedro Ballester
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Mike Lasby
- Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Katharine Dunlop
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Amanda K Ceniti
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Suicide & Depression Studies Program, St. Michael's Hospital, Toronto, ON, Canada
| | - Scott Squires
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Jessie Rowe
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Keith Ho
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada
| | - JeeSu Suh
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Stefanie Hassel
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Roberto Souza
- Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Raphael F Casseb
- Neuroimaging Laboratory, University of Campinas, Campinas, SP, Brazil
| | | | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | | | - Stephen C Strother
- Rotman Research Institute, Baycrest, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, ON, Canada
| | - Geoffrey Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Jordan Poppenk
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Catherine Lebel
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Child & Adolescent Imaging Research (CAIR) Program, Calgary, AB, Canada
| | - Signe Bray
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Child & Adolescent Imaging Research (CAIR) Program, Calgary, AB, Canada
| | - Paul Metzak
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Bradley J MacIntosh
- Rotman Research Institute, Baycrest, Toronto, ON, Canada; Hurvitz Brain Sciences Program, Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada; Computational Radiology & Artificial Intelligence (CRAI) Unit, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry and Pharmacology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - JianLi Wang
- Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Sakina J Rizvi
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Suicide & Depression Studies Program, St. Michael's Hospital, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Glenda MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Kate L Harkness
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Susan Rotzinger
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Suicide & Depression Studies Program, St. Michael's Hospital, Toronto, ON, Canada; Krembil Research Centre, University Health Network, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Sidney H Kennedy
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Suicide & Depression Studies Program, St. Michael's Hospital, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Krembil Research Centre, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
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Martínez-Cao C, Sánchez-Lasheras F, García-Fernández A, González-Blanco L, Zurrón-Madera P, Sáiz PA, Bobes J, García-Portilla MP. PsiOvi Staging Model for Schizophrenia (PsiOvi SMS): A New Internet Tool for Staging Patients with Schizophrenia. Eur Psychiatry 2024; 67:e36. [PMID: 38599765 PMCID: PMC11059252 DOI: 10.1192/j.eurpsy.2024.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/22/2024] [Accepted: 01/31/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND One of the challenges of psychiatry is the staging of patients, especially those with severe mental disorders. Therefore, we aim to develop an empirical staging model for schizophrenia. METHODS Data were obtained from 212 stable outpatients with schizophrenia: demographic, clinical, psychometric (PANSS, CAINS, CDSS, OSQ, CGI-S, PSP, MATRICS), inflammatory peripheral blood markers (C-reactive protein, interleukins-1RA and 6, and platelet/lymphocyte [PLR], neutrophil/lymphocyte [NLR], and monocyte/lymphocyte [MLR] ratios). We used machine learning techniques to develop the model (genetic algorithms, support vector machines) and applied a fitness function to measure the model's accuracy (% agreement between patient classification of our model and the CGI-S). RESULTS Our model includes 12 variables from 5 dimensions: 1) psychopathology: positive, negative, depressive, general psychopathology symptoms; 2) clinical features: number of hospitalizations; 3) cognition: processing speed, visual learning, social cognition; 4) biomarkers: PLR, NLR, MLR; and 5) functioning: PSP total score. Accuracy was 62% (SD = 5.3), and sensitivity values were appropriate for mild, moderate, and marked severity (from 0.62106 to 0.6728). DISCUSSION We present a multidimensional, accessible, and easy-to-apply model that goes beyond simply categorizing patients according to CGI-S score. It provides clinicians with a multifaceted patient profile that facilitates the design of personalized intervention plans.
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Affiliation(s)
- Clara Martínez-Cao
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
- Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
- Institute of Neurosciences of the Principality of Asturias (INEUROPA), University of Oviedo, Oviedo, Spain
| | - Fernando Sánchez-Lasheras
- Department of Mathematics, University of Oviedo, Oviedo, Spain
- Institute of Space Sciences and Technologies of Asturias (ICTEA), University of Oviedo, Oviedo, Spain
| | - Ainoa García-Fernández
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
- Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
- Institute of Neurosciences of the Principality of Asturias (INEUROPA), University of Oviedo, Oviedo, Spain
| | - Leticia González-Blanco
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
- Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
- Institute of Neurosciences of the Principality of Asturias (INEUROPA), University of Oviedo, Oviedo, Spain
- Health Service of the Principality of Asturias (SESPA), Oviedo, Spain
- Centro de Investigación Biomédica en Red, Salud Mental (CIBERSAM), Madrid, Spain
| | - Paula Zurrón-Madera
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
- Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
- Institute of Neurosciences of the Principality of Asturias (INEUROPA), University of Oviedo, Oviedo, Spain
- Health Service of the Principality of Asturias (SESPA), Oviedo, Spain
| | - Pilar A. Sáiz
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
- Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
- Institute of Neurosciences of the Principality of Asturias (INEUROPA), University of Oviedo, Oviedo, Spain
- Health Service of the Principality of Asturias (SESPA), Oviedo, Spain
- Centro de Investigación Biomédica en Red, Salud Mental (CIBERSAM), Madrid, Spain
| | - Julio Bobes
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
- Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
- Institute of Neurosciences of the Principality of Asturias (INEUROPA), University of Oviedo, Oviedo, Spain
- Health Service of the Principality of Asturias (SESPA), Oviedo, Spain
- Centro de Investigación Biomédica en Red, Salud Mental (CIBERSAM), Madrid, Spain
| | - María Paz García-Portilla
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
- Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
- Institute of Neurosciences of the Principality of Asturias (INEUROPA), University of Oviedo, Oviedo, Spain
- Health Service of the Principality of Asturias (SESPA), Oviedo, Spain
- Centro de Investigación Biomédica en Red, Salud Mental (CIBERSAM), Madrid, Spain
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Wang X, Yan C, Yang PY, Xia Z, Cai XL, Wang Y, Kwok SC, Chan RCK. Unveiling the potential of machine learning in schizophrenia diagnosis: A meta-analytic study of task-based neuroimaging data. Psychiatry Clin Neurosci 2024; 78:157-168. [PMID: 38013639 DOI: 10.1111/pcn.13625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 11/01/2023] [Accepted: 11/24/2023] [Indexed: 11/29/2023]
Abstract
The emergence of machine learning (ML) techniques has opened up new avenues for identifying biomarkers associated with schizophrenia (SCZ) using task-related fMRI (t-fMRI) designs. To evaluate the effectiveness of this approach, we conducted a comprehensive meta-analysis of 31 t-fMRI studies using a bivariate model. Our findings revealed a high overall sensitivity of 0.83 and specificity of 0.82 for t-fMRI studies. Notably, neuropsychological domains modulated the classification performance, with selective attention demonstrating a significantly higher specificity than working memory (β = 0.98, z = 2.11, P = 0.04). Studies involving older, chronic patients with SCZ reported higher sensitivity (P <0.015) and specificity (P <0.001) than those involving younger, first-episode patients or high-risk individuals for psychosis. Additionally, we found that the severity of negative symptoms was positively associated with the specificity of the classification model (β = 7.19, z = 2.20, P = 0.03). Taken together, these results support the potential of using task-based fMRI data in combination with machine learning techniques to identify biomarkers related to symptom outcomes in SCZ, providing a promising avenue for improving diagnostic accuracy and treatment efficacy. Future attempts to deploy ML classification should consider the factors of algorithm choice, data quality and quantity, as well as issues related to generalization.
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Affiliation(s)
- Xuan Wang
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Center, Shanghai, China
- Neuropsychology and Applied Cognitive Neuroscience Laboratory; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Chao Yan
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Center, Shanghai, China
| | | | - Zheng Xia
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Xin-Lu Cai
- Institute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Sze Chai Kwok
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Center, Shanghai, China
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Data Science Research Center, Duke Kunshan University, Kunshan, China
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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11
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Cuesta MJ, Sánchez-Torres AM, Moreno-Izco L, García de Jalón E, Gil-Berrozpe GJ, Peralta V, Ballesteros A, Fañanás L, Janda L, Papiol S, Peralta D, Ribeiro M, Rosero Á, Zarzuela A, Giné E, Rosado E. Long-term trajectories of clinical staging in first-episode psychosis and their associated cognitive outcome: A 21-year follow-up study. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2024:S2950-2853(24)00014-0. [PMID: 38423184 DOI: 10.1016/j.sjpmh.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/25/2024] [Accepted: 02/13/2024] [Indexed: 03/02/2024]
Abstract
Cognitive deficits are already present before psychosis onset but are a key feature of first-episode psychosis (FEP). The objective of this study was to investigate the cognitive outcomes of a cohort of FEP patients who were diagnosed using the clinical staging approach and were followed for up to 21 years. We analyzed data from 173 participants with first-admission psychosis who were followed-up for a mean of 20.9 years. The clinical staging assessment was adapted from the clinical staging framework developed by McGorry et al.1 Cognitive assessment was performed using the MATRICS Consensus Cognitive Battery (MMCB) at the end of follow-up. FEP patients who were longitudinally diagnosed in the lowest clinical stages (stages 2A and 2B) showed better performance in attention, processing speed, and MCCB overall composite score than those in the highest clinical stages (stages 4A and 4B). There was a significant linear trend association between worsening of all MCCB cognitive functions and MCCB overall composite score and progression in clinical staging. Furthermore, the interval between two and five years of follow-up appears to be associated with deficits in processing speed as a cognitive marker. Our results support the validation of the clinical staging model over a long-term course of FEP based on neuropsychological performance. A decline in some cognitive functions, such as processing speed, may facilitate the transition of patients to an advanced stage during the critical period of first-episode psychosis.
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Affiliation(s)
- Manuel J Cuesta
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.
| | - Ana M Sánchez-Torres
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Department of Health Sciences, Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Lucia Moreno-Izco
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Elena García de Jalón
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Gustavo J Gil-Berrozpe
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Victor Peralta
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | | | - Lourdes Fañanás
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Biomedicine Institute of the University of Barcelona (IBUB), Barcelona, Spain; Network Centre for Biomedical Research in Mental Health (CIBER of Mental Health, CIBERSAM), Spain
| | - Lucia Janda
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Sergi Papiol
- Network Centre for Biomedical Research in Mental Health (CIBER of Mental Health, CIBERSAM), Spain; Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich 80336, Germany; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich 80336, Germany
| | - David Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - María Ribeiro
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Ángela Rosero
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
| | - Amalia Zarzuela
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Eloi Giné
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Esther Rosado
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
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Hyam LE, Phillips M, Gracie L, Allen K, Schmidt U. Clinical staging across eating disorders: a scoping review protocol. BMJ Open 2023; 13:e077377. [PMID: 37993158 PMCID: PMC10668169 DOI: 10.1136/bmjopen-2023-077377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023] Open
Abstract
INTRODUCTION Clinical staging models in psychiatry assert that there are earlier, less severe or more malleable forms of illness that are distinguishable from later, more chronic forms of illness, and that these stages may have different prognostic and treatment implications. Previous reviews on clinical staging in eating disorders (EDs) suggest a staging heuristic could be useful for anorexia nervosa, but less research is available on how this applies to other EDs. An up-to-date review is required to synthesise new and heterogenous avenues of research. This scoping review aims to explore the extent and types of evidence in relation to illness staging for EDs and how these concepts are associated with treatment response and outcomes. METHODS AND ANALYSIS This protocol was developed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol extension for Scoping Reviews checklist and the Joanna Briggs Institute Reviewer's Manual. We will consider any documents providing evidence for clinical staging such as those which describe full or partial staging models, for all EDs, across various domains of assessment and functioning. Participants will include clinical or non-clinical population samples with full-syndrome EDs or disordered eating behaviour. PubMed, PsycINFO, MEDLINE and Web of Science databases will be systematically searched for relevant literature. Two authors will export documents and screen titles, abstracts and full texts. Data will be extracted into a charting form drafted by the authors. A narrative summary of the documents will be conducted in line with the study aims. Finally, clinical and research recommendations will be outlined. ETHICS AND DISSEMINATION Ethical approval will not be required to synthesise published and unpublished literature. The study will be published in a peer-reviewed journal and shared at conferences, via social media, and in other communications.
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Affiliation(s)
- Lucy Elizabeth Hyam
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Matthew Phillips
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Lara Gracie
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK
- College of Medical and Dental Sciences, University of Birmingham, Birmingham Medical School, Birmingham, UK
| | - Karina Allen
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
- Eating Disorder Outpatients Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Ulrike Schmidt
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
- Eating Disorder Outpatients Service, South London and Maudsley NHS Foundation Trust, London, UK
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13
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Peralta V, de Jalón EG, Moreno-Izco L, Peralta D, Janda L, Sánchez-Torres AM, Cuesta MJ. A clinical staging model of psychotic disorders based on a long-term follow-up of first-admission psychosis: A validation study. Psychiatry Res 2023; 322:115109. [PMID: 36841052 DOI: 10.1016/j.psychres.2023.115109] [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: 06/10/2022] [Revised: 02/10/2023] [Accepted: 02/12/2023] [Indexed: 02/16/2023]
Abstract
We examined the empirical validity of a staging model of psychotic disorders primarily based on their long-term course. The model distinguished 6 consecutive stages (2A, 2B, 3A, 3B, 4A, 4B) based on symptom recurrence, persistence and progression, such as functional decline. We analyzed data from 243 participants with first-admission psychosis who were followed-up for a mean of 20.9 years and assessed for 22 baseline variables, 23 construct-related variables and 31 outcome variables. Later stages scored significantly poorer than early stages on most validators by showing generally medium to large effect sizes and a dose-response pattern, thus confirming the validity of the model. For each set of validators, differences between consecutive stages were especially evident for stages 2 and 3A, although many variables from each validation realm also differentiated between the consecutive stages 3A and above. Baseline predictors including familial load of schizophrenia, neurodevelopmental impairment, childhood adversity, treatment delay, negative symptoms, neurological impairment and poor early response to treatment, independently accounted for 49.9% of the variance of staging. A staging model of psychosis based primarily on its long-term course has sound construct, outcome and predictive validity, which may inform about stage indicators and predictors of clinical stages from psychosis onset.
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Affiliation(s)
- Victor Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.
| | - Elena García de Jalón
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Lucía Moreno-Izco
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain; Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - David Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Lucía Janda
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Ana M Sánchez-Torres
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain; Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Manuel J Cuesta
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain; Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
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14
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Ratheesh A, Hammond D, Gao C, Marwaha S, Thompson A, Hartmann J, Davey C, Zammit S, Berk M, McGorry P, Nelson B. Empirically driven transdiagnostic stages in the development of mood, anxiety and psychotic symptoms in a cohort of youth followed from birth. Transl Psychiatry 2023; 13:103. [PMID: 36990979 PMCID: PMC10052262 DOI: 10.1038/s41398-023-02396-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 02/24/2023] [Accepted: 03/10/2023] [Indexed: 03/31/2023] Open
Abstract
Staging models with transdiagnostic validity across mood, psychotic, and anxiety disorders could advance early intervention efforts as well as our understanding of the common underpinnings of such psychopathology. However, there are few well-supported operationalisations for such transdiagnostic models, particularly in community-based samples. We aimed to explore the inter-relationships among mood, psychotic, and anxiety symptom stages, and their common risk factors to develop data-informed transdiagnostic stages. We included participants from the Avon Longitudinal Study of Parents and Children (ALSPAC), a prospective ongoing birth cohort study. We developed operational thresholds for stages of depressive, hypomanic, anxiety, and psychotic symptoms based on the existing literature, refined further by expert consensus. We selected 1b level as the primary stage or outcome of interest. This represents moderate symptoms that are likely to be associated with the onset of the need for clinical mental health care. We used questionnaire and clinic data completed by young people ages 18 and 21 years. We used descriptive methods and network analyses to examine the overlap among Stage 1b psychopathology. We then examined the patterns of relationships between several risk factors and 1b stages using logistic regressions. Among 3269 young people with data available to determine all symptom stages, 64.3% were female and 96% Caucasian. Descriptive and network analyses indicated that 1b level depressive, anxiety, and psychotic symptom stages were inter-related while hypomania was not. Similarly, anxiety, depressive, and psychotic 1b stages were associated with the female sex, more emotional and behavioral difficulties in early adolescence, and life events in late adolescence. Hypomania was not related to any of these risk factors. Given their inter-relationships and similar risk factors, anxiety, psychotic and depressive, symptoms could be combined to form a transdiagnostic stage in this cohort. Such empirical transdiagnostic stages could help with prognostication and indicated prevention in youth mental health.
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Affiliation(s)
- Aswin Ratheesh
- Orygen, Parkville, Australia.
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia.
| | - Dylan Hammond
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Caroline Gao
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Steven Marwaha
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Andrew Thompson
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
- Division of Mental Health and Wellbeing, Warwick Medical school, University of Warwick, Coventry, England
| | - Jessica Hartmann
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Christopher Davey
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
- Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Stanley Zammit
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - Michael Berk
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
- Department of Psychiatry, University of Melbourne, Melbourne, Australia
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Barwon Health, Geelong, Australia
| | - Patrick McGorry
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
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Sitarz R, Juchnowicz D, Karakuła K, Forma A, Baj J, Rog J, Karpiński R, Machrowska A, Karakuła-Juchnowicz H. Niacin Skin Flush Backs-From the Roots of the Test to Nowadays Hope. J Clin Med 2023; 12:jcm12051879. [PMID: 36902666 PMCID: PMC10003235 DOI: 10.3390/jcm12051879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/08/2023] Open
Abstract
The niacin skin flush test (NSFT) is a simple method used to assess the content of fatty acids in cell membranes and is a possible indicator of factors hidden behind various outcomes in patients. The purpose of this paper is to determine the potential usefulness of NSFT in mental disorder diagnostics along with the determination of factors that may affect its results. The authors reviewed articles from 1977 onwards, focusing on the history, variety of methodologies, influencing factors, and proposed mechanisms underlying its performance. Research indicated that NSFT could be applicable in early intervention, staging in psychiatry, and the search for new therapeutic methods and drugs based on the mechanisms of NSFT action. The NSFT can contribute to defining an individualized diet for patients and prevent the development of damaging disease effects at an early stage. There is promising evidence for supplementation with polyunsaturated fatty acids, which have a beneficial influence on the metabolic profile and are effective even in the subclinical phase of the disease. NSFT can contribute to the new classification of diseases and a better understanding of certain mental disorders' pathophysiology. However, there is a need to establish a validated method for assessing the NSFT results.
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Affiliation(s)
- Ryszard Sitarz
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
- Correspondence:
| | - Dariusz Juchnowicz
- Department of Psychiatry and Psychiatric Nursing, Medical University of Lublin, 20-059 Lublin, Poland
| | - Kaja Karakuła
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
- Department of Forensic Medicine, Medical University of Lublin, 20-059 Lublin, Poland
| | - Alicja Forma
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
- Department of Forensic Medicine, Medical University of Lublin, 20-059 Lublin, Poland
| | - Jacek Baj
- Department of Anatomy, Medical University of Lublin, 20-059 Lublin, Poland
| | - Joanna Rog
- Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 02-776 Warsaw, Poland
| | - Robert Karpiński
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
- Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, 20-618 Lublin, Poland
| | - Anna Machrowska
- Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, 20-618 Lublin, Poland
| | - Hanna Karakuła-Juchnowicz
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
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Staging models applied in a sample of patients with bipolar disorder: Results from a retrospective cohort study. J Affect Disord 2023; 323:452-460. [PMID: 36455717 DOI: 10.1016/j.jad.2022.11.081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 11/18/2022] [Accepted: 11/23/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Bipolar Disorder (BD) is a life-long illness with compelling evidence of progression. Although different staging models have been proposed to evaluate its course, clinical data remain limited. The aim of the present study was to retrospectively assess applicability of available staging approaches and their pattern of progression in a sample of bipolar patients. METHODS In a naturalistic sample of 100 BD patients, retrospective assessment of clinical stages was performed at four time points over 10 years, according to four staging models. Staging progression with potential associations between stages and unfavourable illness characteristics were analyzed. RESULTS A pattern of stage worsening emerged for each model, with a significant increase at every time point. Greater stage increases emerged in patients with lower educational level, age at first elevated episode ≤35 years, duration of illness ≤25 years, and duration of untreated illness ≤5 years. Lower stage values were associated with BD II, no psychiatric hospitalization, depressive onset and predominant polarity, ≤three lifetime episodes, age at first mood stabilizer >40 years, duration of illness ≤25 years, and engaged/employed status. Higher stage values were associated with lower age at first elevated episode and mood stabilizing treatment instead. LIMITATIONS Naturalistic and retrospective design, recruitment at a 2nd level specialistic clinic. CONCLUSIONS Reported findings support the progressive nature of BD and the application of staging models for early intervention, suggesting a conceptualization of a standardized approach to better characterize patients, predict their clinical course, and deliver tailored treatment options.
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Abstract
OBJECTIVES A number of staging models have been generated for the bipolar disorders, which include pre-onset as well as post-onset stages. Some models propose treatments for those at the pre-onset stage, a recommendation which is critiqued here. METHODS Several exemplar staging models are overviewed, and a critique is provided. RESULTS The critique argues against intervention at a pre-onset stage, in light of there being limited risk factors, unquantified sensitivity and specificity data for most putative onset illness risk factors, and thus there is the risk of overtreatment. Also, it is possible that many of the recommended interventions for those at risk of a bipolar disorder may have general non-specific benefits for those at risk. CONCLUSIONS While retaining a pre-onset phase in the staging model, it would appear wiser for it to not be populated with recommended interventions until they have a firmer empirical base.
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Affiliation(s)
- Gordon Parker
- Discipline of Psychiatry and Mental Health, School of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
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18
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Ten Have M, Tuithof M, van Dorsselaer S, de Beurs D, de Graaf R, Batelaan NM, Penninx BWJH. How chronic are depressive and anxiety disorders? 9-year general population study using narrow and broad course outcomes. J Affect Disord 2022; 317:149-155. [PMID: 36031004 DOI: 10.1016/j.jad.2022.08.083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 05/24/2022] [Accepted: 08/22/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Existing studies on disease course usually apply relatively short follow-up periods and narrow definitions of disease course resulting in too optimistic views on disease prognosis. This study explores the relevance of using a longer and broader (cross-disorder) perspective. METHODS Respondents with a 12-month disorder at baseline and available at 3-, 6- and 9-year follow-up were selected (major depressive disorder, MDD: n = 208; anxiety disorder: n = 220) from a general population study (N = 6646). DSM-IV disorders were assessed with the Composite International Diagnostic Interview. Disease course was described using a short and narrow perspective (i.e., 3-year follow-up, and considering presence of the index disorder only) and a long and broad perspective (9-year follow-up, and considering presence of any mood, anxiety or substance use disorder as outcome). RESULTS The recovery rates of both MDD and anxiety disorder reduced by half when the perspective switched from short and narrow (MDD: 74.0 %; anxiety disorder: 79.5 %) to long and broad (35.6 % and 40.0 % respectively). At 9-year follow-up, the rates of a persistent disorder (a disorder at each follow-up assessment) tripled when the perspective switched from narrow to broad (MDD: from 4.8 % to 13.9 %; anxiety disorder: from 4.5 % to 15.5 %). LIMITATIONS The findings are not generalizable to the most severe depressed and anxious patients. CONCLUSIONS Most people with MDD or anxiety disorder in the general population have a rather favourable prognosis when a narrow perspective is applied, but an unfavourable prognosis when a long-term and broad perspective is applied. Consequently, MDD and anxiety disorder should not merely be perceived as episodic disorders, and require longer-term disease monitoring and management.
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Affiliation(s)
- Margreet Ten Have
- Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands.
| | - Marlous Tuithof
- Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | | | - Derek de Beurs
- Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands; Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Ron de Graaf
- Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Neeltje M Batelaan
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Brenda W J H Penninx
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
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19
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Wigman JTW, van der Tuin S, van den Berg D, Muller MK, Booij SH. Mental health, risk and protective factors at micro- and macro-levels across early at-risk stages for psychosis: The Mirorr study. Early Interv Psychiatry 2022; 17:478-494. [PMID: 36198658 DOI: 10.1111/eip.13343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 02/16/2022] [Accepted: 07/05/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND The clinical staging model states that psychosis develops through subsequent stages of illness severity. To better understand what drives illness progression, more extensive comparison across clinical stages is needed. The current paper presents an in-depth characterization of individuals with different levels of risk for psychosis (i.e., different early clinical stages), using a multimethod approach of cross-sectional assessments and daily diary reports. METHODS Data came from the Mirorr study that includes N = 96 individuals, divided across four subgroups (n1 = 25, n2 = 27, n3 = 24, and n4 = 20). These subgroups, each with an increasing risk for psychosis, represent clinical stages 0-1b. Cross-sectional data and 90-day daily diary data on psychopathology, well-being, psychosocial functioning, risk and protective factors were statistically compared across subgroups (stages) and descriptively compared across domains and assessment methods. RESULTS Psychopathology increased across subgroups, although not always linearly and nuanced differences were seen between assessment methods. Well-being and functioning differed mostly between subgroup 1 and the other subgroups, suggesting differences between non-clinical and clinical populations. Risk and protective factors differed mostly between the two highest and lowest subgroups, especially regarding need of social support and coping, suggesting differences between those with and without substantial psychotic experiences. Subgroup 4 (stage 1b) reported especially high levels of daily positive and negative psychotic experiences. CONCLUSIONS Risk for psychosis exists in larger contexts of mental health and factors of risk and protection that differ across stages and assessment methods. Taking a broad, multi-method approach is an important next step to understand the complex development of youth mental health problems.
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Affiliation(s)
- Johanna T W Wigman
- Department of Psychiatry, Interdisciplinary Centre for Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Department of Psychiatry, Rob Giel Onderzoekscentrum, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sara van der Tuin
- Department of Psychiatry, Interdisciplinary Centre for Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - David van den Berg
- Department of Clinical Psychology, VU University and Amsterdam Public Health Research, The Netherlands.,Department of Psychosis Research, Parnassia Psychiatric Institute, The Hague, The Netherlands
| | - Merel K Muller
- Department of Psychiatry, Interdisciplinary Centre for Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sanne H Booij
- Department of Psychiatry, Interdisciplinary Centre for Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Faculty of Behavioural and Social Sciences, Department of Developmental Psychology, University of Groningen, Groningen, The Netherlands.,Center for Integrative Psychiatry, Lentis, Groningen, The Netherlands
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20
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Sawrikar V, Macbeth A, Gillespie-Smith K, Brown M, Lopez-Williams A, Boulton K, Guestella A, Hickie I. Transdiagnostic Clinical Staging for Childhood Mental Health: An Adjunctive Tool for Classifying Internalizing and Externalizing Syndromes that Emerge in Children Aged 5-11 Years. Clin Child Fam Psychol Rev 2022; 25:613-626. [PMID: 35598197 PMCID: PMC9427921 DOI: 10.1007/s10567-022-00399-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2022] [Indexed: 11/20/2022]
Abstract
Clinical staging is now recognized as a key tool for facilitating innovation in personalized and preventative mental health care. It places a strong emphasis on the salience of indicated prevention, early intervention, and secondary prevention of major mental disorders. By contrast to established models for major mood and psychotic syndromes that emerge after puberty, developments in clinical staging for childhood-onset disorders lags significantly behind. In this article, criteria for a transdiagnostic staging model for those internalizing and externalizing disorders that emerge in childhood is presented. This sits alongside three putative pathophysiological profiles (developmental, circadian, and anxious-arousal) that may underpin these common illness trajectories. Given available evidence, we argue that it is now timely to develop a transdiagnostic staging model for childhood-onset syndromes. It is further argued that a transdiagnostic staging model has the potential to capture more precisely the dimensional, fluctuating developmental patterns of illness progression of childhood psychopathology. Given potential improvements in modelling etiological processes, and delivering more personalized interventions, transdiagnostic clinical staging for childhood holds much promise for assisting to improve outcomes. We finish by presenting an agenda for research in developments of transdiagnostic clinical staging for childhood mental health.
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Affiliation(s)
- Vilas Sawrikar
- Centre of Applied Developmental Psychology, University of Edinburgh, Edinburgh, UK.
- Department of Clinical & Health Psychology, School of Health in Social Sciences, The University of Edinburgh, Medical School (Doorway 6), Room 1M.8, Teviot Place, Edinburgh, EH8 9AG, UK.
| | - Angus Macbeth
- Centre of Applied Developmental Psychology, University of Edinburgh, Edinburgh, UK
- Department of Clinical & Health Psychology, School of Health in Social Sciences, The University of Edinburgh, Medical School (Doorway 6), Room 1M.8, Teviot Place, Edinburgh, EH8 9AG, UK
| | - Karri Gillespie-Smith
- Centre of Applied Developmental Psychology, University of Edinburgh, Edinburgh, UK
- Department of Clinical & Health Psychology, School of Health in Social Sciences, The University of Edinburgh, Medical School (Doorway 6), Room 1M.8, Teviot Place, Edinburgh, EH8 9AG, UK
| | - Megan Brown
- ADHD & Autism Psychological Services and Advocacy, Utica, NY, USA
| | | | - Kelsie Boulton
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Adam Guestella
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Ian Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
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21
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Abstract
Staging has been increasingly used in unipolar depression since its introduction in the nineties. Several models are available, but their differential features and implications are not completely clear. We systematically reviewed: (a) staging models of longitudinal development of unipolar depression; (b) staging models of treatment-resistant unipolar depression; (c) their applications. MEDLINE, PsycINFO, EMBASE, and Web of Science were examined according to PRISMA guidelines from inception to December 2021. Search terms were: 'stage/staging', combined using the Boolean 'AND' operator with 'psychiatric disorder/mental disorder/depressive/mood disorder'. A total of 169 studies were identified for inclusion: 18 described staging models or applications, 151 described treatment-resistant staging models or applications. Staging models of longitudinal development were found to play a key role in formulating sequential treatment, with particular reference to the use of psychotherapy after pharmacotherapy. Staging methods based on treatment resistance played a crucial role in setting entry criteria for randomized clinical trials and neurobiological investigations. Staging is part of clinimetrics, the science of clinical measurements, and its role can be enhanced by its association with other clinimetric strategies, such as repeated assessments, organization of problematic areas, and evaluation of phenomena that may affect responsiveness. In research, it may allow to identify more homogeneous populations in terms of treatment history that may diminish the likelihood of spurious results in comparisons. In clinical practice, the use of staging in a clinimetric perspective allows clinicians to make full use of the information that is available for an individual patient at a specific time.
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Affiliation(s)
- Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy
- Clinical Pharmacopsychology Laboratory, University of Florence, Florence, Italy
- Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, New York, USA
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22
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Bo S, Sharp C, Kongerslev MT, Luyten P, Fonagy P. Improving treatment outcomes for adolescents with borderline personality disorder through a socioecological approach. Borderline Personal Disord Emot Dysregul 2022; 9:16. [PMID: 35701834 PMCID: PMC9199171 DOI: 10.1186/s40479-022-00187-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is a dearth of studies evaluating treatment efficacy for adolescents diagnosed with borderline personality disorder. The few available randomized controlled trials that have been conducted show modest results and treatments appear to have equivalent effects. The current paper draws on (a) the lessons learnt from the last 50 years of psychotherapy research in general and (b) recent advances in mentalization-based understanding of why treatment works, which together point to the importance of following a socioecological approach in the treatment of personality problems in adolescence - a developmental period that insists on a treatment approach that goes beyond the therapist-client dyad. CASE PRESENTATION Here, we describe such an approach, and offer a clinical case example with a young 16-year old girl diagnosed with borderline personality disorder, to illustrate what a shift toward a more socioecological approach would entail. CONCLUSIONS The clinical impact of the socioecological approach and the potential benefits as illustrated in the current case illustration, offers a framework that justifies and allows for the expansion of service delivery for youth with borderline personality disorder beyond dyadic therapist-client work.
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Affiliation(s)
- Sune Bo
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark. .,Child and Adolescent Mental Health Services, Ny Oestergade 12, 4000, Roskilde, Region Zealand, Denmark.
| | - Carla Sharp
- Department of Psychology, University of Houston, Houston, USA
| | - Mickey T Kongerslev
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark.,Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Patrick Luyten
- Faculty of Psychology and Educational Sciences, University of Leuven, Louvain, Belgium.,Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.,Anna Freud Centre, London, UK
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23
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Fusar‐Poli P, Estradé A, Stanghellini G, Venables J, Onwumere J, Messas G, Gilardi L, Nelson B, Patel V, Bonoldi I, Aragona M, Cabrera A, Rico J, Hoque A, Otaiku J, Hunter N, Tamelini MG, Maschião LF, Puchivailo MC, Piedade VL, Kéri P, Kpodo L, Sunkel C, Bao J, Shiers D, Kuipers E, Arango C, Maj M. The lived experience of psychosis: a bottom-up review co-written by experts by experience and academics. World Psychiatry 2022; 21:168-188. [PMID: 35524616 PMCID: PMC9077608 DOI: 10.1002/wps.20959] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Psychosis is the most ineffable experience of mental disorder. We provide here the first co-written bottom-up review of the lived experience of psychosis, whereby experts by experience primarily selected the subjective themes, that were subsequently enriched by phenomenologically-informed perspectives. First-person accounts within and outside the medical field were screened and discussed in collaborative workshops involving numerous individuals with lived experience of psychosis as well as family members and carers, representing a global network of organizations. The material was complemented by semantic analyses and shared across all collaborators in a cloud-based system. The early phases of psychosis (i.e., premorbid and prodromal stages) were found to be characterized by core existential themes including loss of common sense, perplexity and lack of immersion in the world with compromised vital contact with reality, heightened salience and a feeling that something important is about to happen, perturbation of the sense of self, and need to hide the tumultuous inner experiences. The first episode stage was found to be denoted by some transitory relief associated with the onset of delusions, intense self-referentiality and permeated self-world boundaries, tumultuous internal noise, and dissolution of the sense of self with social withdrawal. Core lived experiences of the later stages (i.e., relapsing and chronic) involved grieving personal losses, feeling split, and struggling to accept the constant inner chaos, the new self, the diagnosis and an uncertain future. The experience of receiving psychiatric treatments, such as inpatient and outpatient care, social interventions, psychological treatments and medications, included both positive and negative aspects, and was determined by the hope of achieving recovery, understood as an enduring journey of reconstructing the sense of personhood and re-establishing the lost bonds with others towards meaningful goals. These findings can inform clinical practice, research and education. Psychosis is one of the most painful and upsetting existential experiences, so dizzyingly alien to our usual patterns of life and so unspeakably enigmatic and human.
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Affiliation(s)
- Paolo Fusar‐Poli
- Early Psychosis: Interventions and Clinical‐detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK,OASIS serviceSouth London and Maudsley NHS Foundation TrustLondonUK,Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly,National Institute for Health Research, Maudsley Biomedical Research CentreSouth London and MaudsleyLondonUK
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical‐detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Giovanni Stanghellini
- Department of Psychological, Territorial and Health Sciences“G. d'Annunzio” UniversityChietiItaly,Center for Studies on Phenomenology and Psychiatry, Medical Faculty“D. Portales” UniversitySantiagoChile
| | - Jemma Venables
- Early Psychosis: Interventions and Clinical‐detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK,South London and Maudsley NHS Foundation TrustLondonUK
| | - Juliana Onwumere
- National Institute for Health Research, Maudsley Biomedical Research CentreSouth London and MaudsleyLondonUK,Department of Psychology, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK,Bethlem Royal HospitalSouth London and Maudsley NHS Foundation TrustBeckenhamUK
| | - Guilherme Messas
- Mental Health DepartmentSanta Casa de São Paulo School of Medical SciencesSão PauloBrazil
| | | | - Barnaby Nelson
- OrygenParkvilleVICAustralia,Centre for Youth Mental HealthUniversity of MelbourneMelbourneVICAustralia
| | - Vikram Patel
- Department of Global Health and Social MedicineHarvard Medical SchoolBostonMAUSA,Department of Global Health and PopulationHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Ilaria Bonoldi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | | | - Ana Cabrera
- Asociación Española de Apoyo en PsicosisMadridSpain
| | - Joseba Rico
- Asociación Española de Apoyo en PsicosisMadridSpain
| | - Arif Hoque
- Young Person's Mental Health Advisory Group (YPMHAG)King's College LondonLondonUK
| | - Jummy Otaiku
- Young Person's Mental Health Advisory Group (YPMHAG)King's College LondonLondonUK
| | - Nicholas Hunter
- NHS South London and Maudsley (SLaM) Recovery CollegeLondonUK
| | | | - Luca F. Maschião
- Mental Health DepartmentSanta Casa de São Paulo School of Medical SciencesSão PauloBrazil
| | - Mariana Cardoso Puchivailo
- Mental Health DepartmentSanta Casa de São Paulo School of Medical SciencesSão PauloBrazil,Department of PsychologyFAE University CenterCuritibaBrazil
| | - Valter L. Piedade
- Mental Health DepartmentSanta Casa de São Paulo School of Medical SciencesSão PauloBrazil
| | - Péter Kéri
- Global Alliance of Mental Illness Advocacy Networks‐Europe (GAMIAN‐Europe)BrusselsBelgium
| | - Lily Kpodo
- South London and Maudsley NHS Foundation TrustLondonUK
| | | | - Jianan Bao
- OASIS serviceSouth London and Maudsley NHS Foundation TrustLondonUK,Department of Forensic and Neurodevelopment Sciences, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - David Shiers
- Psychosis Research UnitGreater Manchester Mental Health TrustManchesterUK,Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK,School of MedicineKeele UniversityStaffordshireUK
| | - Elizabeth Kuipers
- National Institute for Health Research, Maudsley Biomedical Research CentreSouth London and MaudsleyLondonUK,Department of Psychology, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK,Bethlem Royal HospitalSouth London and Maudsley NHS Foundation TrustBeckenhamUK
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón School of Medicine, IiSGM, CIBERSAM, Complutense University of MadridMadridSpain
| | - Mario Maj
- Department of PsychiatryUniversity of Campania “L. Vanvitelli”NaplesItaly
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24
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Is it possible to stage schizophrenia? A systematic review. Transl Psychiatry 2022; 12:197. [PMID: 35545617 PMCID: PMC9095725 DOI: 10.1038/s41398-022-01889-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 02/07/2022] [Accepted: 03/09/2022] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION A staging model is a clinical tool used to define the development of a disease over time. In schizophrenia, authors have proposed different theoretical staging models of increasing complexity. Therefore, the aims of our study were to provide an updated and critical view of the proposed clinical staging models for schizophrenia and to review the empirical data that support them. METHODS Systematic literature review following PRISMA guidelines. From the PubMed database and backward reference search, a total of 141 records were retrieved, but only 20 were selected according to the inclusion criteria: (a) available in English; (b) participants with schizophrenia ≥ 18 years; and (c) theoretical and empirical research studies intended to develop, validate, and/or improve staging models of schizophrenia. RESULTS Different clinical staging models for schizophrenia were identified, information about the proposed stages was tabulated and presented in the Results section (Tables 1, 2). Most of which include neuroimaging, functioning, and psychopathology, but only two models add objective biomarkers and none include patient point of view. However, few models have been psychometrically tested or used small samples and thus have been validated only partially. In addition, five studies proposed therapeutic interventions according to the stage of the disorder from a theoretical point of view. DISCUSSION In conclusion, it is possible to stage schizophrenia, but the models developed have several limitations. Empirical validation and inclusion of more specific biomarkers and measures of other life areas affected by schizophrenia could help in the development of more valid models.
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25
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Guidi J, Fava GA. The Clinical Science of Euthymia: A Conceptual Map. PSYCHOTHERAPY AND PSYCHOSOMATICS 2022; 91:156-167. [PMID: 35421862 DOI: 10.1159/000524279] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 03/23/2022] [Indexed: 01/04/2023]
Abstract
Euthymia is a trans-diagnostic construct characterized by lack of mood disturbances; presence of positive affect; balance of psychological well-being dimensions, flexibility, consistency, and resistance to stress. The aim of this critical review is to draw a conceptual map of euthymia. Relationships with other constructs, continuum between euthymia and dysthymia with discomfort as an intermediate area, associations with lifestyle, clinimetric assessment, role of psychotherapeutic interventions, establishment of therapeutic targets, and neurobiological mechanisms are discussed. The model is based on the bipolar nature of well-being dimensions. Euthymia means using allostasis optimally and maintaining a healthy balance that promotes positive aspects of brain and body health through health-promoting behaviors. It may provide a framework for a renewed definition of recovery, for measuring treatment outcome and for targeting interventions, including the sequential administration of therapeutic components. Clinical assessment requires a clinimetric approach encompassing a broad range of aspects, such as allostatic load and lifestyle behaviors, all interacting with each other and contributing to the euthymia/dysthymia balance. Clinimetric indices for assessing euthymia (the Clinical Interview for Euthymia and the Euthymia Scale) and related constructs (the Clinical Interview for Dysthymia and the Semi-Structured Interview for the Diagnostic Criteria for Psychosomatic Research) are presented here. Well-Being Therapy, a psychotherapeutic strategy specifically aimed at pursuing euthymia, relies on self-observation of well-being episodes using a structured diary as a distinct therapeutic ingredient. The clinical science of euthymia may unravel innovative approaches to assessment and treatment of psychiatric and medical disorders, according to a unitary conceptual framework.
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Affiliation(s)
- Jenny Guidi
- Department of Psychology "Renzo Canestrari", University of Bologna, Bologna, Italy
| | - Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
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26
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Otto MW, Birk JL, Fitzgerald HE, Chauvin GV, Gold AK, Carl JR. Stage models for major depression: Cognitive behavior therapy, mechanistic treatment targets, and the prevention of stage transition. Clin Psychol Rev 2022; 95:102172. [DOI: 10.1016/j.cpr.2022.102172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 04/12/2022] [Accepted: 05/18/2022] [Indexed: 11/17/2022]
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27
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Léger M, Wolff V, Kabuth B, Albuisson E, Ligier F. The mood disorder spectrum vs. schizophrenia decision tree: EDIPHAS research into the childhood and adolescence of 205 patients. BMC Psychiatry 2022; 22:194. [PMID: 35300648 PMCID: PMC8932125 DOI: 10.1186/s12888-022-03835-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 03/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The early detection of patients at risk of developing schizophrenia and bipolar disorder, and more broadly mood spectrum disorder, is a public health concern. The phenotypical overlap between the prodromes in these disorders calls for a simultaneous investigation into both illness trajectories. METHOD This is an epidemiological, retrospective, multicentre, descriptive study conducted in the Grand-Est region of France in order to describe and compare early symptoms in 205 patients: 123 of which were diagnosed with schizophrenia and 82 with bipolar disorder or mood spectrum disorder. Data corresponding to the pre-morbid and prodromal phases, including a timeline of their onset, were studied in child and adolescent psychiatric records via a data grid based on the literature review conducted from birth to 17 years of age. RESULTS Two distinct trajectories were highlighted. Patients with schizophrenia tended to present more difficulties at each developmental stage, with the emergence of negative and positive behavioural symptoms during adolescence. Patients with mood spectrum disorder, however, were more likely to exhibit anxiety and then mood-related symptoms. Overall, our results corroborate current literature findings and are consistent with the neurodevelopmental process. We succeeded in extracting a decision tree with good predictability based on variables relating to one diagnosis: 77.6% of patients received a well-indexed diagnosis. An atypical profile was observed in future mood spectrum disorder patients as some exhibited numerous positive symptoms alongside more conventional mood-related symptoms. CONCLUSION The combination of all these data could help promote the early identification of high-risk patients thereby facilitating early prevention and appropriate intervention in order to improve outcomes.
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Affiliation(s)
- Mathilde Léger
- Pôle Universitaire de Psychiatrie de l’Enfant et de l’Adolescent [University Department of Childhood and Adolescent Psychiatry], Centre Psychothérapique de Nancy [Nancy Psychotherapy Centre], F-54520 Laxou, France
| | - Vanessa Wolff
- Pôle Universitaire de Psychiatrie de l’Enfant et de l’Adolescent [University Department of Childhood and Adolescent Psychiatry], Centre Psychothérapique de Nancy [Nancy Psychotherapy Centre], F-54520 Laxou, France
| | - Bernard Kabuth
- Pôle Universitaire de Psychiatrie de l’Enfant et de l’Adolescent [University Department of Childhood and Adolescent Psychiatry], Centre Psychothérapique de Nancy [Nancy Psychotherapy Centre], F-54520 Laxou, France ,grid.29172.3f0000 0001 2194 6418EA 4432, PRISME, Université de Lorraine [Lorraine University], Laxou, France
| | - Eliane Albuisson
- grid.410527.50000 0004 1765 1301DRCI UMDS, Centre Hospitalier Universitaire de Nancy, Nancy University Hospital, Laxou, France
| | - Fabienne Ligier
- Pôle Universitaire de Psychiatrie de l'Enfant et de l'Adolescent [University Department of Childhood and Adolescent Psychiatry], Centre Psychothérapique de Nancy [Nancy Psychotherapy Centre], F-54520, Laxou, France. .,EA 4360 APEMAC, Université de Lorraine, Laxou, France.
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28
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Herrman H, Patel V, Kieling C, Berk M, Buchweitz C, Cuijpers P, Furukawa TA, Kessler RC, Kohrt BA, Maj M, McGorry P, Reynolds CF, Weissman MM, Chibanda D, Dowrick C, Howard LM, Hoven CW, Knapp M, Mayberg HS, Penninx BWJH, Xiao S, Trivedi M, Uher R, Vijayakumar L, Wolpert M. Time for united action on depression: a Lancet-World Psychiatric Association Commission. Lancet 2022; 399:957-1022. [PMID: 35180424 DOI: 10.1016/s0140-6736(21)02141-3] [Citation(s) in RCA: 291] [Impact Index Per Article: 145.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 09/15/2021] [Accepted: 09/21/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Helen Herrman
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Sangath, Goa, India; Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Christian Kieling
- Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Child & Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Michael Berk
- Deakin University, IMPACT Institute, Geelong, VIC, Australia
| | - Claudia Buchweitz
- Graduate Program in Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Toshiaki A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Brandon A Kohrt
- Department of Psychiatry and Behavioral Sciences, George Washington University, Washington, DC, USA
| | - Mario Maj
- Department of Psychiatry, University of Campania L Vanvitelli, Naples, Italy
| | - Patrick McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Charles F Reynolds
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Myrna M Weissman
- Columbia University Mailman School of Public Health, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Dixon Chibanda
- Department of Psychiatry, University of Zimbabwe, Harare, Zimbabwe; Centre for Global Mental Health, The London School of Hygiene and Tropical Medicine, London, UK
| | - Christopher Dowrick
- Department of Primary Care and Mental Health, University of Liverpool, Liverpool, UK
| | - Louise M Howard
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christina W Hoven
- Columbia University Mailman School of Public Health, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Martin Knapp
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - Helen S Mayberg
- Departments of Neurology, Neurosurgery, Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Shuiyuan Xiao
- Central South University Xiangya School of Public Health, Changsha, China
| | - Madhukar Trivedi
- Peter O'Donnell Jr Brain Institute and the Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, Canada
| | - Lakshmi Vijayakumar
- Sneha, Suicide Prevention Centre and Voluntary Health Services, Chennai, India
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29
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Fava GA. Forty Years of Clinimetrics. PSYCHOTHERAPY AND PSYCHOSOMATICS 2022; 91:1-7. [PMID: 34839291 DOI: 10.1159/000520251] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 10/17/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
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30
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Benasi G, Fava GA, Guidi J. Prodromal Symptoms in Depression: A Systematic Review. PSYCHOTHERAPY AND PSYCHOSOMATICS 2022; 90:365-372. [PMID: 34350890 DOI: 10.1159/000517953] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 06/18/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Appraisal of prodromal symptoms of unipolar depression may complement the traditional cross-sectional approach and provide a longitudinal perspective, according to a staging model of the illness. OBJECTIVE To provide an updated systematic review of clinical studies concerned with prodromal symptoms of unipolar depression, according to PRISMA guidelines. METHODS Keyword searches were conducted in PubMed, Scopus, and Web of Science. Longitudinal studies on prodromal symptoms and signs in adult patients primarily diagnosed with unipolar depression were selected. Findings were examined separately according to study design (i.e., retrospective or prospective). RESULTS Twenty-five studies met the criteria for inclusion in this systematic review. Findings indicate that a distinct prodromal symptomatology - commonly characterized by anxiety, tension, irritability, and somatic complaints - exists before the onset of unipolar depression. The duration of the prodromal phase was highly variable across studies, ranging from less than a month to several years. Prodromal symptoms profile and duration were consistent within individuals across depressive episodes. There was a close relationship between prodromal and residual symptoms of the same depressive episode. CONCLUSIONS The present systematic review addresses an important, and yet relatively neglected, clinical issue that deserves further investigation and may be of immediate practical value. The findings provide challenging insights into the pathogenesis and course of unipolar depression, which may result in more timely and effective treatment of recurrences. The definition of a prodromal phase in depression would benefit from the joint use of symptom identification, biomarkers, and neuroimaging.
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Affiliation(s)
- Giada Benasi
- Department of Psychology "Renzo Canestrari," University of Bologna, Bologna, Italy
| | - Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Jenny Guidi
- Department of Psychology "Renzo Canestrari," University of Bologna, Bologna, Italy
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31
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Gauld C, Bottemanne H. Vers une psychiatrie énactive et computationnelle. ANNALES MEDICO-PSYCHOLOGIQUES 2022. [DOI: 10.1016/j.amp.2022.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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32
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Pratique clinique et pluralismes en psychiatrie. ANNALES MEDICO-PSYCHOLOGIQUES 2021. [DOI: 10.1016/j.amp.2021.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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33
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Kupka R, Duffy A, Scott J, Almeida J, Balanzá‐Martínez V, Birmaher B, Bond DJ, Brietzke E, Chendo I, Frey BN, Grande I, Hafeman D, Hajek T, Hillegers M, Kauer‐Sant’Anna M, Mansur RB, van der Markt A, Post R, Tohen M, Tremain H, Vazquez G, Vieta E, Yatham LN, Berk M, Alda M, Kapczinski F. Consensus on nomenclature for clinical staging models in bipolar disorder: A narrative review from the International Society for Bipolar Disorders (ISBD) Staging Task Force. Bipolar Disord 2021; 23:659-678. [PMID: 34174130 PMCID: PMC9290926 DOI: 10.1111/bdi.13105] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVES Clinical staging is widely used in medicine to map disease progression, inform prognosis, and guide treatment decisions; in psychiatry, however, staging remains a hypothetical construct. To facilitate future research in bipolar disorders (BD), a well-defined nomenclature is needed, especially since diagnosis is often imprecise with blurred boundaries, and a full understanding of pathophysiology is lacking. METHODS Under the auspices of the International Society of Bipolar Disorders, a Task Force of international experts was convened to review, discuss, and integrate findings from the scientific literature relevant to the development of a consensus staging model and standardize a terminology that could be used to advance future research including staging of BD and related disorders. RESULTS Consensus opinion and areas of uncertainty or difference were identified in regard to terms referring to staging as it may apply to BD, to at-risk status and subthreshold stages, and to various clinical stages of BD as it is currently diagnosed. CONCLUSION The use of a standardized nomenclature about the clinical stages of BD will facilitate communication about research on clinical and pathological components of this heterogeneous group of disorders. The concepts presented are based on current evidence, but the template provided allows for further refinements as etiological advances come to light.
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Affiliation(s)
- Ralph Kupka
- Department of PsychiatryAmsterdam Public Mental Health Research InsituteAmsterdam UMCVrije UniversiteitAmsterdamThe Netherlands
| | - Anne Duffy
- Department of PsychiatryDivision of Student Mental HealthQueen's UniversityCote Sharp Student Wellness CentreKingstonONCanada,Department of PsychiatryUniversity of OxfordOxfordUK
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastle upon TyneUK,Brain and Mind CentreThe University of SydneySydneyNSWAustralia
| | - Jorge Almeida
- Department of Psychiatry and Behavior SciencesDell Medical SchoolUniversity of Texas at AustinAustinTXUSA
| | - Vicent Balanzá‐Martínez
- Teaching Unit of Psychiatry and Psychological MedicineDepartment of MedicineUniversity of ValenciaCIBERSAMValenciaSpain
| | | | - David J. Bond
- Department of Psychiatry and Behavioral SciencesUniversity of Minnesota Medical SchoolMinneapolisMNUSA
| | - Elisa Brietzke
- Department of PsychiatryQueen's University School of MedicineKingstonONCanada,Centre for Neuroscience StudiesQueen’s UniversityKingstonONCanada
| | - Ines Chendo
- Psychiatry DepartmentDepartment of NeurosciencesHospital Santa MariaLisbonPortugal,Clínica Universitária de PsiquiatriaFaculty of MedicineUniversity of LisbonLisbonPortugal
| | - Benicio N. Frey
- Department of Psychiatry and Behavioural NeurosciencesMcMaster UniversityHamiltonONCanada,Mood Disorders Program and Women's Health Concerns ClinicSt. Joseph's Healthcare HamiltonHamiltonONCanada
| | - Iria Grande
- Barcelona Bipolar Disorders and Depressive UnitHospital ClinicInstitute of NeurosciencesUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaSpain
| | - Danella Hafeman
- Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Tomas Hajek
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada
| | - Manon Hillegers
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical Center‐Sophia Children’s HospitalRotterdamThe Netherlands
| | - Marcia Kauer‐Sant’Anna
- Department of PsychiatryFaculty of MedicineUniversidade Federal do Rio Grande do Sul (UFRGSHospital de Clínicas de Porto Alegre (HCPAPorto AlegreBrazil
| | - Rodrigo B. Mansur
- Mood Disorders Psychopharmacology UnitUniversity Health NetworkTorontoONCanada,Department of PsychiatryUniversity of TorontoTorontoONCanada
| | - Afra van der Markt
- Department of PsychiatryAmsterdam Public Mental Health Research InsituteAmsterdam UMCVrije UniversiteitAmsterdamThe Netherlands
| | - Robert Post
- George Washington University School of MedicineWashingtonDCUSA,Bipolar Collaborative NetworkBethesdaMDUSA
| | - Mauricio Tohen
- Department of Psychiatry and Behavioral SciencesUniversity of New Mexico Health Sciences CenterAlbuquerqueNMUSA
| | - Hailey Tremain
- Centre for Mental HealthFaculty of Health Arts and DesignSwinburne UniversityMelbourneVicAustralia,OrygenThe National Centre of Excellence in Youth Mental HealthParkvilleVicAustralia
| | | | - Eduard Vieta
- Hospital ClinicInstitute of NeuroscienceUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaSpain
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBCCanada
| | - Michael Berk
- IMPACT – the Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineBarwon HealthDeakin UniversityGeelongVicAustralia,OrygenThe National Centre of Excellence in Youth Mental HealthCentre for Youth Mental HealthFlorey Institute for Neuroscience and Mental HealthDepartment of PsychiatryThe University of MelbourneMelbourneVicAustralia
| | - Martin Alda
- Department of PsychiatryMood Disorders ClinicDalhousie UniversityHalifaxNCCanada
| | - Flávio Kapczinski
- St. Joseph’s Healthcare Hamilton McMaster UniversityHamiltonONCanada,Universidade Federal do Rio Grande do SulUFRGSPorto AlegreBrazil
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Cosci F, Fava GA. When Anxiety and Depression Coexist: The Role of Differential Diagnosis Using Clinimetric Criteria. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 90:308-317. [PMID: 34344013 DOI: 10.1159/000517518] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 05/31/2021] [Indexed: 11/19/2022]
Abstract
Depressive and anxiety disorders are frequently associated. Depression may be a complication of anxiety and anxiety can complicate depression. The nature of their relationship has been a source of controversy. Reviews generally base their conclusions on randomized controlled trials and meta-analyses that refer to the average patient and often clash with the variety of clinical presentations that may occur when anxiety and depression coexist. The aim of this review was to examine the literature according to profiling of subgroups of patients based on clinimetric criteria, in line with the recently developed concept of medicine-based evidence. We critically reviewed the literature pertaining to the specific presentations of anxiety and depression, outlining the advantages and disadvantages of each treatment approach. The following prototypic cases were presented: depression secondary to an active anxiety disorder, depression in patients with anxiety disorders under treatment, anxious depression, anxiety as a residual component of depression, and demoralization secondary to anxiety disorder. We argue that the selection of treatment when anxiety and depression coexist should take into account the modalities of presentation and be filtered by clinical judgment. Very different indications may ensue when the literature is examined according to this perspective.
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Affiliation(s)
- Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy.,Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, New York, New York, USA
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35
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Carrozzino D, Patierno C, Guidi J, Berrocal Montiel C, Cao J, Charlson ME, Christensen KS, Concato J, De Las Cuevas C, de Leon J, Eöry A, Fleck MP, Furukawa TA, Horwitz RI, Nierenberg AA, Rafanelli C, Wang H, Wise TN, Sonino N, Fava GA. Clinimetric Criteria for Patient-Reported Outcome Measures. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 90:222-232. [PMID: 34038901 DOI: 10.1159/000516599] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 04/19/2021] [Indexed: 11/19/2022]
Abstract
Patient-reported outcome measures (PROMs) are self-rated scales and indices developed to improve the detection of the patients' subjective experience. Given that a considerable number of PROMs are available, it is important to evaluate their validity and usefulness in a specific research or clinical setting. Published guidelines, based on psychometric criteria, do not fit in with the complexity of clinical challenges, because of their quest for homogeneity of components and inadequate attention to sensitivity. Psychometric theory has stifled the field and led to the routine use of scales widely accepted yet with a history of poor performance. Clinimetrics, the science of clinical measurements, may provide a more suitable conceptual and methodological framework. The aims of this paper are to outline the major limitations of the psychometric model and to provide criteria for clinimetric patient-reported outcome measures (CLIPROMs). The characteristics related to reliability, sensitivity, validity, and clinical utility of instruments are critically reviewed, with particular reference to the differences between clinimetric and psychometric approaches. Of note is the fact that PROMs, rating scales, and indices developed according to psychometric criteria may display relevant clinimetric properties. The present paper underpins the importance of the clini-metric methodology in choosing the appropriate PROMs. CLIPROM criteria may also guide the development of new indices and the validation of existing PROMs to be employed in clinical settings.
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Affiliation(s)
- Danilo Carrozzino
- Department of Psychology Renzo Canestrari, University of Bologna, Bologna, Italy
| | - Chiara Patierno
- Department of Psychology Renzo Canestrari, University of Bologna, Bologna, Italy
| | - Jenny Guidi
- Department of Psychology Renzo Canestrari, University of Bologna, Bologna, Italy
| | - Carmen Berrocal Montiel
- Department of Surgical, Medical and Molecular Pathology, and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Jianxin Cao
- Changzhou First People's Hospital and Psychosomatic Gastroenterology Institute, Soochow University, Changzhou, China
| | - Mary E Charlson
- Division of Clinical Epidemiology and Evaluative Sciences Research, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Kaj Sparle Christensen
- Research Unit for General Practice, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - John Concato
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA.,Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Carlos De Las Cuevas
- Department of Internal Medicine, Dermatology and Psychiatry, Universidad de La Laguna, Canary Islands, Spain
| | - Jose de Leon
- University of Kentucky Mental Health Research Center at Eastern State Hospital, Lexington, Kentucky, USA
| | - Ajandek Eöry
- Department of Family Medicine, Semmelweis University, Budapest, Hungary
| | - Marcelo Pio Fleck
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Ralph I Horwitz
- Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Chiara Rafanelli
- Department of Psychology Renzo Canestrari, University of Bologna, Bologna, Italy
| | - Hongxing Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Psychosomatic Disease Consultation Center, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Thomas N Wise
- Department of Psychiatry, Inova Health Systems, Falls Church, Virginia, USA.,Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Psychiatry and Behavioral Sciences, George Washington University School of Medicine, Washington, District of Columbia, USA
| | - Nicoletta Sonino
- Department of Statistical Sciences, University of Padova, Padova, Italy.,Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
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36
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Kogata T, Iidaka T. Lateralization of Color Discrimination Performance and Lexical Effects in Patients With Chronic Schizophrenia. Front Hum Neurosci 2021; 15:702086. [PMID: 34650414 PMCID: PMC8505673 DOI: 10.3389/fnhum.2021.702086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/08/2021] [Indexed: 11/16/2022] Open
Abstract
Introduction: Patients with schizophrenia experience various visual disturbances. However, information regarding color perception in these patients is rare. In this study, we used a lateralized color search task to investigate whether difference in color name affects color recognition in patients with schizophrenia. Methods: In a color search task, we controlled the position of the target that emerged from the left visual field (LVF) or right visual field (RVF) as well as the color category. In this task, both the target and the distractors had the same or different color name (e.g., blue or green). Results: Patients with schizophrenia showed faster performance in the color search task with different color names for target-distractors when the target emerged from the LVF than when it emerged from the RVF. However, the same laterality was not observed in healthy controls. This finding indicates that semantic processing for color name differences influenced visual discrimination performance in patients with schizophrenia more profoundly in the LVF than in the RVF. Conclusion: This lateralized performance could imply the failure of the left hemisphere language processing dominance in schizophrenia. A search paradigm combining target position and category may indicate that automatic language processing depends on imbalanced hemispheric function in schizophrenia.
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Affiliation(s)
- Tomohiro Kogata
- Department of Physical and Occupational Therapy, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Tetsuya Iidaka
- Department of Physical and Occupational Therapy, Graduate School of Medicine, Nagoya University, Nagoya, Japan.,Brain and Mind Research Center, Nagoya University, Nagoya, Japan
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37
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Cosci F. Clinimetric Perspectives in Clinical Psychology and Psychiatry. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 90:217-221. [PMID: 34052804 DOI: 10.1159/000517028] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 05/04/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy.,Clinical Pharmacopsychology Lab, University of Florence, Florence, Italy.,Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
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38
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Imperiale MN, Lieb R, Calkins ME, Meinlschmidt G. Multimorbidity networks of mental disorder symptom domains across psychopathology severity levels in community youth. J Psychiatr Res 2021; 141:267-275. [PMID: 34265564 DOI: 10.1016/j.jpsychires.2021.07.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 06/03/2021] [Accepted: 07/05/2021] [Indexed: 01/20/2023]
Abstract
Our aim was to scrutinize multimorbidity in a community sample of youths (Philadelphia Neurodevelopmental Cohort) in form of co-occurrences of DSM-IV disorder symptom domains, elucidating if and when specific symptom domain interrelations emerge as mental disorder severity levels increase. We estimated four multimorbidity networks based on four severity cut-offs ('at least symptomatic', 'at least subthreshold', 'at least threshold', and 'impaired') and compared them pairwise on two measures: global network strength and network structure. We further computed community clusters for each network to detect symptom domain interrelations. Pairwise comparisons of the multimorbidity networks based on data from 9410 probands showed significant differences in global strength of the networks with the two highest severity cut-offs ('impaired' and 'at least threshold') with the at least symptomatic networks (p < .05). The networks with the three highest severity cut-offs ('impaired', 'at least threshold', and 'at least subthreshold') differed significantly (p < .001) from the at least symptomatic network regarding global network structure but did not significantly differ from each other (p > .05). We identified four common clusters in the impaired, at least threshold, and at least subthreshold networks consisting of i) domains associated with behavioral disorders; ii) domains associated with anxiety disorders (agoraphobia, social anxiety and specific phobia); iii) domains associated with anxiety/mood/eating and; iv) domains associated with mood/eating disorders. We found that major mental disorder symptom domain interrelations become consistent from a subthreshold level onwards. Findings suggest that specific multimorbidity patterns emerge as psychopathology severity levels increase.
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Affiliation(s)
- Marina N Imperiale
- Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Missionsstrasse 62a, CH-4055, Basel, Switzerland; Novartis Institutes for Biomedical Research, Fabrikstrasse 2, Novartis Campus, CH-4056, Basel, Switzerland.
| | - Roselind Lieb
- Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Missionsstrasse 62a, CH-4055, Basel, Switzerland.
| | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 10 Gates, 3400 Spruce Street, Philadelphia, 19104, Pennsylvania, USA.
| | - Gunther Meinlschmidt
- Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Missionsstrasse 62a, CH-4055, Basel, Switzerland; Department of Clinical Psychology and Cognitive Behavioral Therapy, International Psychoanalytic University, Stromstrasse 1, DE-10555, Berlin, Germany; Department of Psychosomatic Medicine, University Hospital Basel and University of Basel, Hebelstrasse 2, CH-4031, Basel, Switzerland.
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39
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Fava GA, Cosci F, Guidi J, Rafanelli C. The Deceptive Manifestations of Treatment Resistance in Depression: A New Look at the Problem. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 89:265-273. [PMID: 32325457 DOI: 10.1159/000507227] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 03/11/2020] [Indexed: 11/19/2022]
Affiliation(s)
- Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Jenny Guidi
- Department of Psychology, University of Bologna, Bologna, Italy
| | - Chiara Rafanelli
- Department of Psychology, University of Bologna, Bologna, Italy,
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40
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Fusar‐Poli P, Correll CU, Arango C, Berk M, Patel V, Ioannidis JP. Preventive psychiatry: a blueprint for improving the mental health of young people. World Psychiatry 2021; 20:200-221. [PMID: 34002494 PMCID: PMC8129854 DOI: 10.1002/wps.20869] [Citation(s) in RCA: 170] [Impact Index Per Article: 56.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Preventive approaches have latterly gained traction for improving mental health in young people. In this paper, we first appraise the conceptual foundations of preventive psychiatry, encompassing the public health, Gordon's, US Institute of Medicine, World Health Organization, and good mental health frameworks, and neurodevelopmentally-sensitive clinical staging models. We then review the evidence supporting primary prevention of psychotic, bipolar and common mental disorders and promotion of good mental health as potential transformative strategies to reduce the incidence of these disorders in young people. Within indicated approaches, the clinical high-risk for psychosis paradigm has received the most empirical validation, while clinical high-risk states for bipolar and common mental disorders are increasingly becoming a focus of attention. Selective approaches have mostly targeted familial vulnerability and non-genetic risk exposures. Selective screening and psychological/psychoeducational interventions in vulnerable subgroups may improve anxiety/depressive symptoms, but their efficacy in reducing the incidence of psychotic/bipolar/common mental disorders is unproven. Selective physical exercise may reduce the incidence of anxiety disorders. Universal psychological/psychoeducational interventions may improve anxiety symptoms but not prevent depressive/anxiety disorders, while universal physical exercise may reduce the incidence of anxiety disorders. Universal public health approaches targeting school climate or social determinants (demographic, economic, neighbourhood, environmental, social/cultural) of mental disorders hold the greatest potential for reducing the risk profile of the population as a whole. The approach to promotion of good mental health is currently fragmented. We leverage the knowledge gained from the review to develop a blueprint for future research and practice of preventive psychiatry in young people: integrating universal and targeted frameworks; advancing multivariable, transdiagnostic, multi-endpoint epidemiological knowledge; synergically preventing common and infrequent mental disorders; preventing physical and mental health burden together; implementing stratified/personalized prognosis; establishing evidence-based preventive interventions; developing an ethical framework, improving prevention through education/training; consolidating the cost-effectiveness of preventive psychiatry; and decreasing inequalities. These goals can only be achieved through an urgent individual, societal, and global level response, which promotes a vigorous collaboration across scientific, health care, societal and governmental sectors for implementing preventive psychiatry, as much is at stake for young people with or at risk for emerging mental disorders.
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Affiliation(s)
- Paolo Fusar‐Poli
- Early Psychosis: Interventions and Clinical‐detection (EPIC) Lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK,OASIS Service, South London and Maudsley NHS Foundation TrustLondonUK,Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Christoph U. Correll
- Department of PsychiatryZucker Hillside Hospital, Northwell HealthGlen OaksNYUSA,Department of Psychiatry and Molecular MedicineZucker School of Medicine at Hofstra/NorthwellHempsteadNYUSA,Center for Psychiatric NeuroscienceFeinstein Institute for Medical ResearchManhassetNYUSA,Department of Child and Adolescent PsychiatryCharité Universitätsmedizin BerlinBerlinGermany
| | - Celso Arango
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio MarañónMadridSpain,Health Research Institute (IiGSM), School of MedicineUniversidad Complutense de MadridMadridSpain,Biomedical Research Center for Mental Health (CIBERSAM)MadridSpain
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin UniversityBarwon HealthGeelongVICAustralia,Department of PsychiatryUniversity of MelbourneMelbourneVICAustralia,Orygen Youth HealthUniversity of MelbourneMelbourneVICAustralia,Florey Institute for Neuroscience and Mental HealthUniversity of MelbourneMelbourneVICAustralia
| | - Vikram Patel
- Department of Global Health and Social MedicineHarvard University T.H. Chan School of Public HealthBostonMAUSA,Department of Global Health and PopulationHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - John P.A. Ioannidis
- Stanford Prevention Research Center, Department of MedicineStanford UniversityStanfordCAUSA,Department of Biomedical Data ScienceStanford UniversityStanfordCAUSA,Department of Epidemiology and Population HealthStanford UniversityStanfordCAUSA
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41
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Ter Meulen WG, Draisma S, van Hemert AM, Schoevers RA, Kupka RW, Beekman ATF, Penninx BWJH. Depressive and anxiety disorders in concert-A synthesis of findings on comorbidity in the NESDA study. J Affect Disord 2021; 284:85-97. [PMID: 33588240 DOI: 10.1016/j.jad.2021.02.004] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/25/2021] [Accepted: 02/01/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Comorbidity of depressive and anxiety disorders is common and remains incompletely comprehended. This paper summarizes findings from the Netherlands Study of Depression and Anxiety (NESDA) regarding prevalence, temporal sequence, course and longitudinal patterns; sociodemographic, vulnerability and neurobiological indicators; and functional, somatic and mental health indicators of comorbidity. METHODS Narrative synthesis of earlier NESDA based papers on comorbidity (n=76). RESULTS Comorbidity was the rule in over three-quarter of subjects with depressive and/or anxiety disorders, most often preceded by an anxiety disorder. Higher severity and chronicity characterized a poorer comorbidity course. Over time, transitions between depressive and anxiety disorders were common. Consistent comorbidity risk indicators in subjects with depressive and anxiety disorders were childhood trauma, neuroticism and early age of onset. Psychological vulnerabilities, such as trait avoidance tendencies, were more pronounced in comorbid than in single disorders. In general, there were few differences in biological markers and neuroimaging findings between persons with comorbid versus single disorders. Most functional, somatic, and other mental health indicators, ranging from disability to cardiovascular and psychiatric multimorbidity, were highest in comorbid disorders. LIMITATIONS The observational design of NESDA limits causal inference. Attrition was higher in comorbid relative to single disorders. CONCLUSIONS As compared to single disorders, persons with comorbid depressive and anxiety disorders were characterized by more psychosocial risk determinants, more somatic and other psychiatric morbidities, more functional impairments, and poorer outcome. These results justify specific attention for comorbidity of depressive and anxiety disorders, particularly in treatment settings.
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Affiliation(s)
- Wendela G Ter Meulen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
| | - Stasja Draisma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
| | - Albert M van Hemert
- Leiden University, Leiden University Medical Centre, Department of Psychiatry, Leiden, the Netherlands.
| | - Robert A Schoevers
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Research School of Behavioral and Cognitive Neurosciences (BCN), Groningen, the Netherlands.
| | - Ralph W Kupka
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
| | - Aartjan T F Beekman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
| | - Brenda W J H Penninx
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
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Maj M, van Os J, De Hert M, Gaebel W, Galderisi S, Green MF, Guloksuz S, Harvey PD, Jones PB, Malaspina D, McGorry P, Miettunen J, Murray RM, Nuechterlein KH, Peralta V, Thornicroft G, van Winkel R, Ventura J. The clinical characterization of the patient with primary psychosis aimed at personalization of management. World Psychiatry 2021; 20:4-33. [PMID: 33432763 PMCID: PMC7801854 DOI: 10.1002/wps.20809] [Citation(s) in RCA: 138] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The current management of patients with primary psychosis worldwide is often remarkably stereotyped. In almost all cases an antipsychotic medica-tion is prescribed, with second-generation antipsychotics usually preferred to first-generation ones. Cognitive behavioral therapy is rarely used in the vast majority of countries, although there is evidence to support its efficacy. Psychosocial interventions are often provided, especially in chronic cases, but those applied are frequently not validated by research. Evidence-based family interventions and supported employment programs are seldom implemented in ordinary practice. Although the notion that patients with primary psychosis are at increased risk for cardiovascular diseases and diabetes mellitus is widely shared, it is not frequent that appropriate measures be implemented to address this problem. The view that the management of the patient with primary psychosis should be personalized is endorsed by the vast majority of clinicians, but this personalization is lacking or inadequate in most clinical contexts. Although many mental health services would declare themselves "recovery-oriented", it is not common that a focus on empowerment, identity, meaning and resilience is ensured in ordinary practice. The present paper aims to address this situation. It describes systematically the salient domains that should be considered in the characterization of the individual patient with primary psychosis aimed at personalization of management. These include positive and negative symptom dimensions, other psychopathological components, onset and course, neurocognition and social cognition, neurodevelopmental indicators; social functioning, quality of life and unmet needs; clinical staging, antecedent and concomitant psychiatric conditions, physical comorbidities, family history, history of obstetric complications, early and recent environmental exposures, protective factors and resilience, and internalized stigma. For each domain, simple assessment instruments are identified that could be considered for use in clinical practice and included in standardized decision tools. A management of primary psychosis is encouraged which takes into account all the available treatment modalities whose efficacy is supported by research evidence, selects and modulates them in the individual patient on the basis of the clinical characterization, addresses the patient's needs in terms of employment, housing, self-care, social relationships and education, and offers a focus on identity, meaning and resilience.
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Affiliation(s)
- Mario Maj
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Jim van Os
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marc De Hert
- University Psychiatric Centre KU Leuven, Kortenberg, Belgium
- Antwerp Health Law and Ethics Chair, University of Antwerp, Antwerp, Belgium
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University Düsseldorf, LVR-Klinikum Düsseldorf, and WHO Collaborating Center on Quality Assurance and Empowerment in Mental Health, Düsseldorf, Germany
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Philip D Harvey
- Division of Psychology, Department of Psychiatry, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge and Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| | - Dolores Malaspina
- Department of Psychiatry and Neuroscience, Ichan Medical School at Mount Sinai, New York, NY, USA
| | - Patrick McGorry
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Jouko Miettunen
- Centre for Life Course Health Research, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Robin M Murray
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Keith H Nuechterlein
- Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine, and Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Victor Peralta
- Mental Health Department, Servicio Navarro de Salud, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | - Graham Thornicroft
- Centre for Global Mental Health and Centre for Implementation Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ruud van Winkel
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- Antwerp Health Law and Ethics Chair, University of Antwerp, Antwerp, Belgium
- University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
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Guidi J, Fava GA. The emerging role of euthymia in psychotherapy research and practice. Clin Psychol Rev 2020; 82:101941. [DOI: 10.1016/j.cpr.2020.101941] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 08/26/2020] [Accepted: 10/20/2020] [Indexed: 12/13/2022]
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Reneses B, Aguera-Ortiz L, Sevilla-Llewellyn-Jones J, Carrillo A, Argudo I, Regatero MJ, López-Micó C, Fuentes M, Palomo T. Staging of depressive disorders: Relevance of resistance to treatment and residual symptoms. J Psychiatr Res 2020; 129:234-240. [PMID: 32814264 DOI: 10.1016/j.jpsychires.2020.07.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 07/17/2020] [Accepted: 07/17/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Clinical staging model for depression helps to better define the clinical situation of patients. The objectives of this study are: to correlate the Hetrick's staging model of depression with the severity of depression, associated disability, and resistance to treatment in the established disease stages and to test the modification introduced by our group consisting in the introduction of a substage for recurrence from a previous episode that was stabilized with a complete remission. METHODS A Cross-sectional study with 133 adult subjects having a current and primary diagnosis of Depressive disorder was developed. Patients were classified according to the model and assessed with: 17-item Hamilton Depression Scale (HAM-D), Clinical Global Impression (CGI); Global Assessment of Function (GAF); Maudsley Staging Method for treatment resistance (MSM) and Sheeham Disability Schedule (SDS). RESULTS The variable that best contributes to the differentiation between clinical stages, in established Depression, is resistance to treatment evaluated by the MSM. Correlations between MSM and the clinical stages were statistically significant between most pairs of stages. Finally, we showed preliminary data in order to prove that a differential sub-stage for recurrent depression with and without inter-episodic remission in the current heuristic models could be a possible stage for better define depression staging model. CONCLUSIONS Resistance to treatment should be included in the definition of clinical stages in established depression. Despite the difficulty of establishing a valid model for the staging of depression, it can certainly add great value to diagnosis, therapeutic interventions and clinical research.
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Affiliation(s)
- Blanca Reneses
- Instituto de Psiquiatría y Salud Mental, Instituto de Investigación (IdISSC), Hospital Clínico San Carlos, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Spain.
| | - Luis Aguera-Ortiz
- Servicio de Psiquiatría, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
| | - Julia Sevilla-Llewellyn-Jones
- Instituto de Psiquiatría y Salud Mental, Instituto de Investigación (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.
| | - Antonio Carrillo
- Instituto de Psiquiatría y Salud Mental, Instituto de Investigación (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.
| | - Isabel Argudo
- Instituto de Psiquiatría y Salud Mental, Instituto de Investigación (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.
| | - María Jose Regatero
- Instituto de Psiquiatría y Salud Mental, Instituto de Investigación (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.
| | - Cristina López-Micó
- Instituto de Investigación (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.
| | - Manuel Fuentes
- Instituto de Investigación (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.
| | - Tomas Palomo
- Facultad de Medicina, Universidad Complutense de Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Instituto de Investigación (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.
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Maj M, Stein DJ, Parker G, Zimmerman M, Fava GA, De Hert M, Demyttenaere K, McIntyre RS, Widiger T, Wittchen HU. The clinical characterization of the adult patient with depression aimed at personalization of management. World Psychiatry 2020; 19:269-293. [PMID: 32931110 PMCID: PMC7491646 DOI: 10.1002/wps.20771] [Citation(s) in RCA: 164] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Depression is widely acknowledged to be a heterogeneous entity, and the need to further characterize the individual patient who has received this diagnosis in order to personalize the management plan has been repeatedly emphasized. However, the research evidence that should guide this personalization is at present fragmentary, and the selection of treatment is usually based on the clinician's and/or the patient's preference and on safety issues, in a trial-and-error fashion, paying little attention to the particular features of the specific case. This may be one of the reasons why the majority of patients with a diagnosis of depression do not achieve remission with the first treatment they receive. The predominant pessimism about the actual feasibility of the personalization of treatment of depression in routine clinical practice has recently been tempered by some secondary analyses of databases from clinical trials, using approaches such as individual patient data meta-analysis and machine learning, which indicate that some variables may indeed contribute to the identification of patients who are likely to respond differently to various antidepressant drugs or to antidepressant medication vs. specific psychotherapies. The need to develop decision support tools guiding the personalization of treatment of depression has been recently reaffirmed, and the point made that these tools should be developed through large observational studies using a comprehensive battery of self-report and clinical measures. The present paper aims to describe systematically the salient domains that should be considered in this effort to personalize depression treatment. For each domain, the available research evidence is summarized, and the relevant assessment instruments are reviewed, with special attention to their suitability for use in routine clinical practice, also in view of their possible inclusion in the above-mentioned comprehensive battery of measures. The main unmet needs that research should address in this area are emphasized. Where the available evidence allows providing the clinician with specific advice that can already be used today to make the management of depression more personalized, this advice is highlighted. Indeed, some sections of the paper, such as those on neurocognition and on physical comorbidities, indicate that the modern management of depression is becoming increasingly complex, with several components other than simply the choice of an antidepressant and/or a psychotherapy, some of which can already be reliably personalized.
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Affiliation(s)
- Mario Maj
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Gordon Parker
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Mark Zimmerman
- Department of Psychiatry and Human Behavior, Brown University School of Medicine, Rhode Island Hospital, Providence, RI, USA
| | - Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Marc De Hert
- University Psychiatric Centre KU Leuven, Kortenberg, Belgium
- KU Leuven Department of Neurosciences, Leuven, Belgium
| | - Koen Demyttenaere
- University Psychiatric Centre, University of Leuven, Leuven, Belgium
| | - Roger S McIntyre
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Thomas Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | - Hans-Ulrich Wittchen
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
- Department of Psychiatry and Psychotherapy, Ludwig Maximilans Universität Munich, Munich, Germany
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Seiffert N, Cavelti M, Kaess M. Klinische Stadienmodelle in der Früherkennung und -behandlung der Borderline-Persönlichkeitsstörung. PSYCHOTHERAPEUT 2020. [DOI: 10.1007/s00278-020-00448-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Zusammenfassung
Hintergrund
Die Borderline-Persönlichkeitsstörung (BPS) ist eine schwere psychische Störung, die typischerweise erstmals in der Adoleszenz auftritt und mit einem hohen Leidensdruck, schweren psychosozialen Defiziten bei Betroffenen sowie hohen Kosten für die Gesellschaft verbunden ist. Die Früherkennung und -intervention der BPS haben zum Ziel, die negativen Auswirkungen der Störung frühzeitig zu reduzieren oder zu verhindern und dadurch die Lebensläufe der betroffenen Jugendlichen positiv zu beeinflussen. Klinische Stadienmodelle bieten Orientierung bei der Auswahl einer geeigneten Intervention entsprechend dem aktuellen Krankheitsstadium.
Ziel der Arbeit
In der vorliegenden Arbeit wird das Rationale klinischer Stadienmodelle erläutert. Bestehende Stadienmodelle der BPS werden vorgestellt und diskutiert.
Material und Methoden
Kritische Reflexion vorhandener Forschungsliteratur.
Ergebnisse
Bisher wurden 2 Stadienmodelle der BPS vorgeschlagen, das erste Modell aus dem Jahr 2016 gemeinsam für die BPS und die affektiven Störungen, das neuere, darauf aufbauende Modell aus dem Jahr 2019 mit höherer Spezifität und Fokus auf die Entwicklung von Persönlichkeitsstörungen und sich daraus ergebenden Schwierigkeiten.
Diskussion
Die vorgestellten klinischen Stadienmodelle der BPS bieten Orientierung bei der Beschreibung des typischen Krankheitsverlaufs sowie der Auswahl einer geeigneten Intervention, insbesondere in frühen Krankheitsstadien, da sie dabei helfen können, frühe, unspezifische Anzeichen einer sich entwickelnden Störung wahrzunehmen und eine geeignete Behandlung einzuleiten. Mit weiteren Erkenntnissen über die Entwicklung der BPS und effektive Interventionen können Stadienmodelle in der Zukunft weiter verbessert werden.
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Cosci F, Guidi J, Mansueto G, Fava GA. Psychotherapy in recurrent depression: efficacy, pitfalls, and recommendations. Expert Rev Neurother 2020; 20:1169-1175. [DOI: 10.1080/14737175.2020.1804870] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Jenny Guidi
- Department of Psychology, University of Bologna, Bologna, Italy
| | - Giovanni Mansueto
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Giovanni A. Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, NY, USA
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Bo S, Vilmar JW, Jensen SL, Jørgensen MS, Kongerslev M, Lind M, Fonagy P. What works for adolescents with borderline personality disorder: towards a developmentally informed understanding and structured treatment model. Curr Opin Psychol 2020; 37:7-12. [PMID: 32652486 DOI: 10.1016/j.copsyc.2020.06.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/12/2020] [Accepted: 06/14/2020] [Indexed: 10/24/2022]
Abstract
The efficacy of treatment of borderline personality disorder in adolescents is an underresearched area. Although increasing research in borderline personality disorder in adolescents has emerged over the last decade there is a paucity of knowledge about how treatment is adequately designed for this group of patients. As a consequence, it is currently difficult to provide evidence-based guidelines and firm recommendations for how to design and implement borderline treatment in adolescence. In this selective review we summarize the most important research findings concerning treatment for adolescents with borderline personality disorder, including a recent mentalisation-based group treatment program. We highlight pivotal developmental obstacles for psychotherapy in adolescence and integrate these into a framework for the understanding and designing of effective treatment of borderline in adolescence.
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Affiliation(s)
- Sune Bo
- Psychiatric Research Unit, Region Zealand, Denmark; Child and Adolescents Psychiatry, Region Zealand, Denmark.
| | | | | | | | - Mickey Kongerslev
- Psychiatric Research Unit, Region Zealand, Denmark; Department of Psychology, University of Southern Denmark, Denmark
| | - Majse Lind
- Department of Psychology, University of Florida, United States; Department of Psychology and Behavioural Sciences, Aarhus University, Denmark
| | - Peter Fonagy
- Anna Freud National Centre for Children and Families, England, United Kingdom
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50
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Shah JL, Scott J, McGorry PD, Cross SP, Keshavan MS, Nelson B, Wood SJ, Marwaha S, Yung AR, Scott EM, Öngür D, Conus P, Henry C, Hickie IB. Transdiagnostic clinical staging in youth mental health: a first international consensus statement. World Psychiatry 2020; 19:233-242. [PMID: 32394576 PMCID: PMC7215079 DOI: 10.1002/wps.20745] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Recognizing that current frameworks for classification and treatment in psychiatry are inadequate, particularly for use in young people and early intervention services, transdiagnostic clinical staging models have gained prominence. These models aim to identify where individuals lie along a continuum of illness, to improve treatment selection and to better understand patterns of illness continuity, discontinuity and aetiopathogenesis. All of these factors are particularly relevant to help-seeking and mental health needs experienced during the peak age range of onset, namely the adolescent and young adult developmental periods (i.e., ages 12-25 years). To date, progressive stages in transdiagnostic models have typically been defined by traditional symptom sets that distinguish "sub-threshold" from "threshold-level" disorders, even though both require clinical assessment and potential interventions. Here, we argue that staging models must go beyond illness progression to capture additional dimensions of illness extension as evidenced by emergence of mental or physical comorbidity/complexity or a marked change in a linked biological construct. To develop further consensus in this nascent field, we articulate principles and assumptions underpinning transdiagnostic clinical staging in youth mental health, how these models can be operationalized, and the implications of these arguments for research and development of new service systems. We then propose an agenda for the coming decade, including knowledge gaps, the need for multi-stakeholder input, and a collaborative international process for advancing both science and implementation.
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Affiliation(s)
- Jai L. Shah
- Prevention and Early Intervention Program for Psychosis (PEPP‐Montreal)Douglas Mental Health University InstituteMontrealQCCanada,ACCESS Open MindsDouglas Mental Health University InstituteMontrealQCCanada,Department of PsychiatryMcGill UniversityMontrealQCCanada
| | - Jan Scott
- Institute of NeuroscienceUniversity of NewcastleNewcastle upon TyneUK,Brain and Mind CentreUniversity of SydneySydneyNSWAustralia,Diderot UniversityParisFrance,Norwegian University of Science and TechnologyTrondheimNorway
| | - Patrick D. McGorry
- Orygen, The National Centre of Excellence in Youth Mental HealthMelbourneVICAustralia,Centre for Youth Mental HealthUniversity of MelbourneMelbourneVICAustralia
| | | | - Matcheri S. Keshavan
- Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical SchoolBostonMAUSA
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental HealthMelbourneVICAustralia,Centre for Youth Mental HealthUniversity of MelbourneMelbourneVICAustralia
| | - Stephen J. Wood
- Orygen, The National Centre of Excellence in Youth Mental HealthMelbourneVICAustralia,Centre for Youth Mental HealthUniversity of MelbourneMelbourneVICAustralia,School of PsychologyUniversity of BirminghamBirminghamUK
| | - Steven Marwaha
- Institute for Mental HealthUniversity of BirminghamBirminghamUK
| | - Alison R. Yung
- Orygen, The National Centre of Excellence in Youth Mental HealthMelbourneVICAustralia,Centre for Youth Mental HealthUniversity of MelbourneMelbourneVICAustralia
| | - Elizabeth M. Scott
- Brain and Mind CentreUniversity of SydneySydneyNSWAustralia,School of MedicineUniversity of Notre DameSydneyNSWAustralia
| | - Dost Öngür
- Psychotic Disorders Division, McLean HospitalHarvard Medical SchoolBostonMAUSA
| | - Philippe Conus
- Treatment and Early Intervention in Psychosis Program (TIPP), Department of PsychiatryLausanne University HospitalLausanneSwitzerland
| | - Chantal Henry
- Perception and Memory Unit, Institut Pasteur, UMR3571Centre National de la Recherche Scientifique (CNRS)ParisFrance,Université de ParisParisFrance,Department of Psychiatry, Service Hospitalo‐UniversitaireGHU Paris Psychiatrie & NeurosciencesParisFrance
| | - Ian B. Hickie
- Brain and Mind CentreUniversity of SydneySydneyNSWAustralia
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