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Tikka SK, Malathesh BC, Spoorthy MS, Kusneniwar GN, Agarwal N, d'Avossa G, Katshu MZUH. Identification of youth at clinical high-risk for psychosis: A community-based study from India. Early Interv Psychiatry 2024. [PMID: 38804214 DOI: 10.1111/eip.13581] [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: 01/25/2024] [Revised: 04/21/2024] [Accepted: 05/19/2024] [Indexed: 05/29/2024]
Abstract
AIM A two-stage process, wherein self-report screening precedes the structured interview, is suggested for identifying individuals at clinical high-risk for psychosis (CHR-P) in community samples. Aim of this study was to screen a community youth sample from India for CHR-P using the two-stage method. Specific objectives were to assess concordant validity of the self-report measure and predictive validity of the two-stage method. METHODS Based on probability sampling, 2025 youth aged 15-24 years were recruited from one rural and one urban area of Telangana, a Telugu-speaking state in India. Telugu version of the PRIME Screen-Revised (PS-R) and structured interview for psychosis-risk syndromes (SIPS) were used. CHR-P positive and negative cohorts were followed-up for transition to psychosis at 3-monthly intervals. RESULTS One hundred ten individuals screened positive on PS-R. SIPS conducted on 67 out of 110 individuals confirmed 62 (92.54%) to be CHR-P positive. PS-R showed 98.41% sensitivity and 90.74% specificity. Among CHR-P positive, three participants transitioned to psychosis in 15 months. The hazard ratio for psychosis transition was 11.4. CONCLUSIONS Screening accuracy of PS-R in the community youth sample in Telangana is optimum. The hazard ratio for psychosis transition in the community identified CHR-P indicates good predictive validity for the two-stage method.
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Affiliation(s)
- Sai Krishna Tikka
- Department of Psychiatry, All India Institute of Medical Sciences, Hyderabad, India
| | - Barikar C Malathesh
- Department of Psychiatry, All India Institute of Medical Sciences, Hyderabad, India
| | | | - Govindrao N Kusneniwar
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Hyderabad, India
| | - Neeraj Agarwal
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Hyderabad, India
| | - Giovanni d'Avossa
- School of Psychology, Bangor University, Bangor, UK
- Betsi Cadwaladr University Health Board, Bangor, UK
| | - Mohammad Zia Ul Haq Katshu
- Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, UK
- Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
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2
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Bailey B, Solida A, Andreou C, Plessen KJ, Conus P, Mercapide M, Kasparidi A, Conchon C, Sprüngli-Toffel E, Genoud D, Caron C, Golay P, Curtis L, Herbrecht E, Huber CG, Alameda L, Armando M. Pathways to care in youth and young adults at clinical high risk for psychosis in Switzerland: Current situation and clinical implementation of the PsyYoung project. Early Interv Psychiatry 2024. [PMID: 38676537 DOI: 10.1111/eip.13540] [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: 04/23/2023] [Revised: 03/22/2024] [Accepted: 04/19/2024] [Indexed: 04/29/2024]
Abstract
AIM We aim to give an insight into the current situation in Switzerland concerning the pathways to care of young people with clinical high risk of psychosis. In a second step we propose a procedure of optimizing pathways to care developed within the project PsyYoung. METHODS A qualitative survey derived and adapted from Kotlicka-Antczak et al. (2020) was conducted in large early detection services of three Swiss cantons (Geneva, Basel-Stadt, Vaud) focusing on pathways to care. More specifically, using questionnaires delivered to the heads of participating services, information was collected on referral sources, on activities to implement outreach campaigns and on the use of a pre-screening tool. RESULTS Main results on referral source indicated that sources were variable but seemed to come primarily from the medical sector and more so from the psychiatric sector. Very few referrals came from non-medical sectors. Outreach activities included the contact to other clinics as well as through brochures and posters. All services but one used the Prodromal Questionnaire - 16 as pre-screening tool. CONCLUSIONS All in all, the results indicate a referral and care pathway system implemented mostly within the medical and particularly mental health sector. Accordingly, the PsyYoung project proposes a procedure for pathways to care which could help overcome the obstacle of referrals being restrained to a narrow field of mental health and to harmonize the referral process within services dedicated to the same aim of helping young people at high risk of developing a psychosis.
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Affiliation(s)
- Barbara Bailey
- Universitäre Psychiatrische Kliniken (UPK) Basel, Universität Basel, Basel, Switzerland
| | | | - Christina Andreou
- Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
- SRO Spital Oberaargau, Psychiatric Services, Langenthal, Switzerland
| | - Kerstin Jessica Plessen
- Division of Child and Adolescent Psychiatry, Lausanne Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Philippe Conus
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Mathieu Mercapide
- Division of Child and Adolescent Psychiatry, Lausanne Hospital (CHUV), Lausanne, Switzerland
| | - Afrodite Kasparidi
- Division of Child and Adolescent Psychiatry, Lausanne Hospital (CHUV), Lausanne, Switzerland
| | - Caroline Conchon
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Elodie Sprüngli-Toffel
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Davina Genoud
- Division of Child and Adolescent Psychiatry, Lausanne Hospital (CHUV), Lausanne, Switzerland
| | - Camille Caron
- Universitäre Psychiatrische Kliniken (UPK) Basel, Universität Basel, Basel, Switzerland
| | - Philippe Golay
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Logos Curtis
- Unité de Psychiatrie du Jeune Adulte, Service des spécialités psychiatriques, Département de psychiatrie, Hôpital Universitaire de Geneve, Geneve, Switzerland
| | - Evelyn Herbrecht
- Universitäre Psychiatrische Kliniken (UPK) Basel, Universität Basel, Basel, Switzerland
| | - Christian G Huber
- Universitäre Psychiatrische Kliniken (UPK) Basel, Universität Basel, Basel, Switzerland
| | - Luis Alameda
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Psychology and Neuroscience, King's College of London, London, UK
- Centro Investigacion Biomedica en Red de Salud Mental (CIBERSAM); Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocio, Departamento de Psiquiatria, Universidad de Sevilla, Sevilla, Spain
| | - Marco Armando
- Division of Child and Adolescent Psychiatry, Lausanne Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
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Hua Y, Blackley S, Shinn A, Skinner J, Moran L, Zhou L. Identifying Psychosis Episodes in Psychiatric Admission Notes via Rule-based Methods, Machine Learning, and Pre-Trained Language Models. RESEARCH SQUARE 2024:rs.3.rs-4126574. [PMID: 38562731 PMCID: PMC10984080 DOI: 10.21203/rs.3.rs-4126574/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Early and accurate diagnosis is crucial for effective treatment and improved outcomes, yet identifying psychotic episodes presents significant challenges due to its complex nature and the varied presentation of symptoms among individuals. One of the primary difficulties lies in the underreporting and underdiagnosis of psychosis, compounded by the stigma surrounding mental health and the individuals' often diminished insight into their condition. Existing efforts leveraging Electronic Health Records (EHRs) to retrospectively identify psychosis typically rely on structured data, such as medical codes and patient demographics, which frequently lack essential information. Addressing these challenges, our study leverages Natural Language Processing (NLP) algorithms to analyze psychiatric admission notes for the diagnosis of psychosis, providing a detailed evaluation of rule-based algorithms, machine learning models, and pre-trained language models. Additionally, the study investigates the effectiveness of employing keywords to streamline extensive note data before training and evaluating the models. Analyzing 4,617 initial psychiatric admission notes (1,196 cases of psychosis versus 3,433 controls) from 2005 to 2019, we discovered that the XGBoost classifier employing Term Frequency-Inverse Document Frequency (TF-IDF) features derived from notes pre-selected by expert-curated keywords, attained the highest performance with an F1 score of 0.8881 (AUROC [95% CI]: 0.9725 [0.9717, 0.9733]). BlueBERT demonstrated comparable efficacy an F1 score of 0.8841 (AUROC [95% CI]: 0.97 [0.9580,0.9820]) on the same set of notes. Both models markedly outperformed traditional International Classification of Diseases (ICD) code-based detection methods from discharge summaries, which had an F1 score of 0.7608, thus improving the margin by 0.12. Furthermore, our findings indicate that keyword pre-selection markedly enhances the performance of both machine learning and pre-trained language models. This study illustrates the potential of NLP techniques to improve psychosis detection within admission notes and aims to serve as a foundational reference for future research on applying NLP for psychosis identification in EHR notes.
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Hua Y, Blackley SV, Shinn AK, Skinner JP, Moran LV, Zhou L. Identifying Psychosis Episodes in Psychiatric Admission Notes via Rule-based Methods, Machine Learning, and Pre-Trained Language Models. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.18.24304475. [PMID: 38562701 PMCID: PMC10984074 DOI: 10.1101/2024.03.18.24304475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Early and accurate diagnosis is crucial for effective treatment and improved outcomes, yet identifying psychotic episodes presents significant challenges due to its complex nature and the varied presentation of symptoms among individuals. One of the primary difficulties lies in the underreporting and underdiagnosis of psychosis, compounded by the stigma surrounding mental health and the individuals' often diminished insight into their condition. Existing efforts leveraging Electronic Health Records (EHRs) to retrospectively identify psychosis typically rely on structured data, such as medical codes and patient demographics, which frequently lack essential information. Addressing these challenges, our study leverages Natural Language Processing (NLP) algorithms to analyze psychiatric admission notes for the diagnosis of psychosis, providing a detailed evaluation of rule-based algorithms, machine learning models, and pre-trained language models. Additionally, the study investigates the effectiveness of employing keywords to streamline extensive note data before training and evaluating the models. Analyzing 4,617 initial psychiatric admission notes (1,196 cases of psychosis versus 3,433 controls) from 2005 to 2019, we discovered that the XGBoost classifier employing Term Frequency-Inverse Document Frequency (TF-IDF) features derived from notes pre-selected by expert-curated keywords, attained the highest performance with an F1 score of 0.8881 (AUROC [95% CI]: 0.9725 [0.9717, 0.9733]). BlueBERT demonstrated comparable efficacy an F1 score of 0.8841 (AUROC [95% CI]: 0.97 [0.9580, 0.9820]) on the same set of notes. Both models markedly outperformed traditional International Classification of Diseases (ICD) code-based detection methods from discharge summaries, which had an F1 score of 0.7608, thus improving the margin by 0.12. Furthermore, our findings indicate that keyword pre-selection markedly enhances the performance of both machine learning and pre-trained language models. This study illustrates the potential of NLP techniques to improve psychosis detection within admission notes and aims to serve as a foundational reference for future research on applying NLP for psychosis identification in EHR notes.
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Affiliation(s)
- Yining Hua
- Departmetn of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Departmetn of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
- Department of General Internal Medicine, Brigham and Women’s Hospital and Harvard Medical School. Boston, Massachusetts, USA
| | | | - Ann K. Shinn
- McLean Hospital, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Lauren V. Moran
- Mass General Brigham, Somerville, Massachusetts, USA
- McLean Hospital, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Li Zhou
- Department of General Internal Medicine, Brigham and Women’s Hospital and Harvard Medical School. Boston, Massachusetts, USA
- Mass General Brigham, Somerville, Massachusetts, USA
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5
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Salazar de Pablo G, Guinart D, Armendariz A, Aymerich C, Catalan A, Alameda L, Rogdaki M, Martinez Baringo E, Soler-Vidal J, Oliver D, Rubio JM, Arango C, Kane JM, Fusar-Poli P, Correll CU. Duration of Untreated Psychosis and Outcomes in First-Episode Psychosis: Systematic Review and Meta-analysis of Early Detection and Intervention Strategies. Schizophr Bull 2024:sbae017. [PMID: 38491933 DOI: 10.1093/schbul/sbae017] [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: 03/18/2024]
Abstract
BACKGROUND The role of duration of untreated psychosis (DUP) as an early detection and intervention target to improve outcomes for individuals with first-episode psychosis is unknown. STUDY DESIGN PRISMA/MOOSE-compliant systematic review to identify studies until February 1, 2023, with an intervention and a control group, reporting DUP in both groups. Random effects meta-analysis to evaluate (1) differences in DUP in early detection/intervention services vs the control group, (2) the efficacy of early detection strategies regarding eight real-world outcomes at baseline (service entry), and (3) the efficacy of early intervention strategies on ten real-world outcomes at follow-up. We conducted quality assessment, heterogeneity, publication bias, and meta-regression analyses (PROSPERO: CRD42020163640). STUDY RESULTS From 6229 citations, 33 intervention studies were retrieved. The intervention group achieved a small DUP reduction (Hedges' g = 0.168, 95% CI = 0.055-0.283) vs the control group. The early detection group had better functioning levels (g = 0.281, 95% CI = 0.073-0.488) at baseline. Both groups did not differ regarding total psychopathology, admission rates, quality of life, positive/negative/depressive symptoms, and employment rates (P > .05). Early interventions improved quality of life (g = 0.600, 95% CI = 0.408-0.791), employment rates (g = 0.427, 95% CI = 0.135-0.718), negative symptoms (g = 0.417, 95% CI = 0.153-0.682), relapse rates (g = 0.364, 95% CI = 0.117-0.612), admissions rates (g = 0.335, 95% CI = 0.198-0.468), total psychopathology (g = 0.298, 95% CI = 0.014-0.582), depressive symptoms (g = 0.268, 95% CI = 0.008-0.528), and functioning (g = 0.180, 95% CI = 0.065-0.295) at follow-up but not positive symptoms or remission (P > .05). CONCLUSIONS Comparing interventions targeting DUP and control groups, the impact of early detection strategies on DUP and other correlates is limited. However, the impact of early intervention was significant regarding relevant outcomes, underscoring the importance of supporting early intervention services worldwide.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Daniel Guinart
- Institut de Salut Mental, Hospital del Mar, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- Department of Psychiatry, Hospital del Mar Medical Research Institute, Barcelona, Spain
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Alvaro Armendariz
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
- Etiopatogenia i Tractament Dels Trastorns Mental Severs (MERITT), Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Claudia Aymerich
- Psychiatry Department, Basurto University Hospital, Biocruces Bizkaia Health Research Institute, OSI Bilbao-Basurto, Barakaldo, Bizkaia, Spain
| | - Ana Catalan
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Psychiatry Department, Basurto University Hospital, Biocruces Bizkaia Health Research Institute, OSI Bilbao-Basurto, Barakaldo, Bizkaia, Spain
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- TiPP Program Department of Psychiatry, Service of General Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
- Department of Psychiatry, Centro Investigación Biomedica en Red de Salud Mental (CIBERSAM), Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío, University of Sevilla, Sevilla, Spain
| | - Maria Rogdaki
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Estrella Martinez Baringo
- Department of Child and Adolescent Psychiatry, Hospital Sant Joan de Déu de Barcelona, Esplugues de Llobregat, Spain
| | - Joan Soler-Vidal
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Barcelona, Spain
- Hospital Benito Menni CASM, Hermanas Hospitalarias, Sant Boi de Llobregat, Spain
| | - Dominic Oliver
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
- OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, UK
| | - Jose M Rubio
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - John M Kane
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
- Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London, UK
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
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Pelizza L, Leuci E, Quattrone E, Azzali S, Paulillo G, Pupo S, Pellegrini P, Menchetti M. Longitudinal evaluation on negative symptoms in young people at Ultra-High Risk (UHR) of psychosis: results from a 2-year follow-up study in a real-world care setting. Eur Arch Psychiatry Clin Neurosci 2023; 273:1761-1771. [PMID: 37029806 DOI: 10.1007/s00406-023-01600-2] [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: 11/25/2022] [Accepted: 03/29/2023] [Indexed: 04/09/2023]
Abstract
Negative Symptoms (NS) severely affect real-world functioning also in young people at UHR for developing psychosis. However, longitudinal research on beneficial effects of specialized treatments for NS in UHR people is still relatively scarce and inconclusive, especially in real-world care settings. The aims of the present research were: (1) to evaluate the longitudinal stability of NS levels in young UHR subjects treated within a specialized "Early Intervention in Psychosis" (EIP) program across a 2-year follow-up period, and (2) to investigate any relevant association of NS changes with the specific treatment components offered within the EIP program. One hundred UHR individuals (aged 12-25 years) completed the Positive And Negative Syndrome Scale (PANSS). A multiple linear regression analysis was conducted to examine significant associations between longitudinal changes in NS severity levels and the EIP treatment components. Across the follow-up, a significant decrease in NS clinical severity was observed. This reduction was associated with the intensity of individual psychotherapy sessions provided in the first year of treatment, a shorter duration of untreated illness at entry and the 2-year longitudinal decrease in positive symptom levels. In conclusion, NS are relevant in UHR people, but decrease over time together with the delivery of specialized EIP interventions. Specifically, our results showed that individual psychotherapy may reduce the clinical severity of NS at least during the first year of treatment.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Biomedical and Neuromotor Sciences, Università Degli Studi Di Bologna, Via Pepoli 5, 40123, Bologna, BO, Italy.
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, Largo Palli 1/a, 43100, Parma, PR, Italy.
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, Largo Palli 1/a, 43100, Parma, PR, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, Largo Palli 1/a, 43100, Parma, PR, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addictions, Azienda USL-IRCCS di Reggio Emilia, Via Amendola 2, 42100, Reggio Emilia, RE, Italy
| | - Giuseppina Paulillo
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, Largo Palli 1/a, 43100, Parma, PR, Italy
| | - Simona Pupo
- Division of Pain Medicine, Azienda Ospedaliero-Universitaria di Parma, Via Gramsci 14, 43100, Parma, PR, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, Largo Palli 1/a, 43100, Parma, PR, Italy
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, Università Degli Studi Di Bologna, Via Pepoli 5, 40123, Bologna, BO, Italy
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7
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Melazzini L, Mazzocchi L, Vecchio A, Paredes A, Mensi MM, Ballante E, Paoletti M, Bastianello S, Balottin U, Borgatti R, Pichiecchio A. Magnetic resonance advanced imaging analysis in adolescents: cortical thickness study to identify attenuated psychosis syndrome. Neuroradiology 2023; 65:1447-1458. [PMID: 37524967 DOI: 10.1007/s00234-023-03200-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 07/11/2023] [Indexed: 08/02/2023]
Abstract
PURPOSE Psychosis is a symptom common to several mental illnesses and a defining feature of schizophrenia spectrum disorders, whose onset typically occurs in adolescence. Neuroradiological studies have reported evidence of brain structural abnormalities in patients with overt psychosis. However, early identification of brain structural changes in young subjects at risk for developing psychosis (such as those with Attenuated Psychosis Syndrome -APS) is currently lacking. METHODS Brain 3D T1-weighted and 64 directions diffusion-weighted images were acquired on 55 help-seeking adolescents (12-17 years old) with psychiatric disorders who referred to our Institute. Patients were divided into three groups: non-APS (n = 20), APS (n = 20), and Early-Onset Psychosis (n = 15). Cortical thickness was calculated from T1w images, and Tract-Based Spatial Statistics analysis was performed to study the distribution of white matter fractional anisotropy and all diffusivity metrics. A thorough neuropsychological test battery was adopted to investigate cognitive performance in several domains. RESULTS In patients with Attenuated Psychotic Syndrome, the left superior frontal gyrus was significantly thinner compared to patients with non-APS (p = 0.048), and their right medial orbitofrontal cortex thickness was associated with lower working memory scores (p = 0.0025, r = -0.668 for the working memory index and p = 0.001, r = -0.738 for the digit span). Early-Onset Psychosis patients showed thinner left pars triangularis compared to non-APS individuals (p = 0.024), and their left pars orbitalis was associated with impaired performance at the symbol search test (p = 0.005, r = -0.726). No differences in diffusivity along main tracts were found between sub-groups (p > 0.05). CONCLUSION This study showed specific associations between structural imaging features and cognitive performance in patients with APS. Characterizing this disorder using neuroimaging could reveal useful information that may aid in the development and evaluation of preventive strategies in these individuals.
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Affiliation(s)
- Luca Melazzini
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
| | - Laura Mazzocchi
- Advanced Imaging and Radiomics Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
| | - Arianna Vecchio
- Child and Adolescent Neuropsychiatric Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Alexandra Paredes
- Faculty of Medicine and Surgery, Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Martina M Mensi
- Child and Adolescent Neuropsychiatric Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Elena Ballante
- BioData Science Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Political and Social Sciences, University of Pavia, Pavia, Italy
| | - Matteo Paoletti
- Advanced Imaging and Radiomics Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy
| | - Stefano Bastianello
- Advanced Imaging and Radiomics Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Umberto Balottin
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Renato Borgatti
- Child and Adolescent Neuropsychiatric Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Anna Pichiecchio
- Advanced Imaging and Radiomics Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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8
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Awhangansi S, Okewole A, Archard PJ, O’Reilly M. Perspective on clinical high-risk for psychosis in Africa. Front Psychiatry 2023; 14:1226012. [PMID: 37743999 PMCID: PMC10514491 DOI: 10.3389/fpsyt.2023.1226012] [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: 05/20/2023] [Accepted: 08/29/2023] [Indexed: 09/26/2023] Open
Abstract
Clinical High Risk for Psychosis has evolved in recent years as a conceptual and clinical entity, representing a shift in focus from the syndromal psychosis state to a recognition of the pre-psychotic state as a period of potential preventive intervention. Much existing evidence has been generated from well-resourced countries, with a more limited body of literature available from Africa and other Majority World countries. Against a backdrop of prevailing systemic challenges, it is necessary to appraise the state of knowledge on Clinical High Risk for Psychosis in Africa. In this perspective article, we cover epidemiology, risk factors, predictors of psychosis conversion, as well as an overview of sociocultural factors, notably stigma, and the barriers to mental health services in African settings. We discuss existing and promising assessment approaches and reflect on preventive and early intervention strategies. We conclude with recommendations including the need for more clinical, longitudinal, and collaborative research anchored in an integrative transdisciplinary approach. We highlight the need for more culturally valid assessment tools and strategies to improve access to and utilization of services while also reducing stigma.
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Affiliation(s)
| | - Adeniran Okewole
- Neuropsychiatric Hospital Aro, Abeokuta, Nigeria
- Pembroke College, University of Cambridge, Cambridge, United Kingdom
| | - Philip John Archard
- Leicestershire Partnership NHS Trust, Leicester, United Kingdom
- University of Leicester, Leicester, United Kingdom
- Tavistock and Portman NHS Foundation Trust, London, United Kingdom
| | - Michelle O’Reilly
- Leicestershire Partnership NHS Trust, Leicester, United Kingdom
- University of Leicester, Leicester, United Kingdom
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9
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Gardea-Resendez M, Ortiz-Orendain J, Miola A, Fuentes Salgado M, Ercis M, Coombes BJ, Gruhlke PM, Bostwick JM, Michel I, Vande Voort JL, Ozerdem A, McKean A, Frye MA, Taylor-Desir M. Racial differences in pathways to care preceding first episode mania or psychosis: a historical cohort prodromal study. Front Psychiatry 2023; 14:1241071. [PMID: 37732076 PMCID: PMC10507622 DOI: 10.3389/fpsyt.2023.1241071] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023] Open
Abstract
Background There is evidence suggesting racial disparities in diagnosis and treatment in bipolar disorder (BD) and schizophrenia (SZ). The purpose of this study is to compare psychiatric diagnoses and psychotropic use preceding a first episode of mania (FEM) or psychosis (FEP) in racially diverse patients. Methods Using a comprehensive medical records linkage system (Rochester Epidemiology Project, REP), we retrospectively identified individuals diagnosed with BD or SZ and a documented first episode of mania or psychosis. Illness trajectory before FEP/FEM were characterized as the time from first visit for a mental health complaint to incident case. Pathways to care and clinical events preceding FEP/FEM were compared based on subsequent incident case diagnosis (BD or SZ) and self-reported race (White vs. non-White). Results A total of 205 (FEM = 74; FEP = 131) incident cases were identified in the REP. Duration of psychiatric antecedents was significantly shorter in non-White patients, compared to White patients (2.2 ± 4.3 vs. 7.4 ± 6.6 years; p < 0.001) with an older age at time of first visit for a mental health complaint (15.7 ± 6.3 vs. 11.1 ± 6.0 years; p = 0.005). There were no significant differences by race in FEM pathway to care or age of first seeking mental health. Overall non-White patients had lower rates of psychotropic use. Conclusion These data are unable to ascertain reasons for shorter duration of psychiatric antecedents and later age of seeking care, and more broadly first age of initial symptom presentation. If symptoms are confirmed to be earlier than first time seeking care in both groups, it would be important to identify barriers that racial minorities face to access timely psychiatric care and optimize early intervention strategies.
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Affiliation(s)
- Manuel Gardea-Resendez
- Department of Psychiatry, Universidad Autónoma de Nuevo León, Monterrey, Mexico
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Javier Ortiz-Orendain
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, United States
| | - Alessandro Miola
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | | | - Mete Ercis
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Brandon J. Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Peggy M. Gruhlke
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - J. Michael Bostwick
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Ian Michel
- Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN, United States
| | | | - Aysegul Ozerdem
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Alastair McKean
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Mark A. Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Monica Taylor-Desir
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
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10
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Uhlhaas PJ, Davey CG, Mehta UM, Shah J, Torous J, Allen NB, Avenevoli S, Bella-Awusah T, Chanen A, Chen EYH, Correll CU, Do KQ, Fisher HL, Frangou S, Hickie IB, Keshavan MS, Konrad K, Lee FS, Liu CH, Luna B, McGorry PD, Meyer-Lindenberg A, Nordentoft M, Öngür D, Patton GC, Paus T, Reininghaus U, Sawa A, Schoenbaum M, Schumann G, Srihari VH, Susser E, Verma SK, Woo TW, Yang LH, Yung AR, Wood SJ. Towards a youth mental health paradigm: a perspective and roadmap. Mol Psychiatry 2023; 28:3171-3181. [PMID: 37580524 PMCID: PMC10618105 DOI: 10.1038/s41380-023-02202-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 07/04/2023] [Accepted: 07/21/2023] [Indexed: 08/16/2023]
Abstract
Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health. This perspective addresses interactions between risk and protective factors and brain development as key pillars accounting for the emergence of psychopathology in youth. Moreover, we propose that novel approaches towards early diagnosis and interventions are required that reflect the evolution of emerging psychopathology, the importance of novel service models, and knowledge exchange between science and practitioners. Taken together, we propose a transformative early intervention paradigm for research and clinical care that could significantly enhance mental health in young people and initiate a shift towards the prevention of severe mental disorders.
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Affiliation(s)
- Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
- Department of Child and Adolescent Psychiatry, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Christopher G Davey
- Department of Psychiatry, The University of Melbourne, Carlton, VIC, Australia
| | - Urvakhsh Meherwan Mehta
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - John Torous
- Division of Digital Psychiatry and Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Shelli Avenevoli
- Office of the Director, National Institute of Mental Health, Bethesda, MD, USA
| | - Tolulope Bella-Awusah
- Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Andrew Chanen
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong, China
| | - Christoph U Correll
- Department of Child and Adolescent Psychiatry, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Departments of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hostra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - Kim Q Do
- Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Helen L Fisher
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Sophia Frangou
- Department of Psychiatry, The University of British Columbia, Vancouver, BC, Canada
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, RWTH, Aachen, Germany
- JARA-Brain Institute II, Molecular Neuroscience and Neuroimaging, Research Center Jülich, Jülich, Germany
| | - Francis S Lee
- Department of Psychiatry, Weill Cornell Cornell Medicall College, New York, NY, USA
| | - Cindy H Liu
- Departments of Pediatrics and Psychiatry, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Patrick D McGorry
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Merete Nordentoft
- CORE-Copenhagen Research Centre for Mental Health, Mental Health Center Copenhagen, University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Hellerup, Denmark
| | - Dost Öngür
- McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - George C Patton
- Centre for Adolescent Health, Murdoch Children's Research Institute, University of Melbourne, Parkville, VIC, Australia
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte Justine, University of Montreal, Montreal, QC, Canada
- Department of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Mannheim, Germany
- Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Akira Sawa
- The John Hopkins Schizophrenia Center, Johns Hopkins University, Baltimore, MD, USA
| | - Michael Schoenbaum
- Division of Service and Intervention Research, National Institute of Mental Health, Bethesda, MD, USA
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, ISTBI, Fudan University, Shanghai, China
- Department of Psychiatry and Neuroscience, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Vinod H Srihari
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), New Haven, VIC, USA
| | - Ezra Susser
- Departments of Epidemiology and Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Swapna K Verma
- Department of Psychosis, Institute of Mental Health, Buangkok, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - T Wilson Woo
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Laboratory for Cellular Neuropathology, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Lawrence H Yang
- Department of Social and Behavioral Sciences, New York University, New York, NY, USA
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Alison R Yung
- School of Medicine, Faculty of Health, Deakin University, Melbourne, VIC, Australia
- Department of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Stephen J Wood
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
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11
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Adrien V, Liewig J, Diot T, Ferreri F, Mouchabac S, Dubertret C, Bourgin J. Association between family functioning and psychotic transition in ultra-high risk adolescents and young adults. Front Psychiatry 2023; 14:1177311. [PMID: 37415693 PMCID: PMC10320389 DOI: 10.3389/fpsyt.2023.1177311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 05/24/2023] [Indexed: 07/08/2023] Open
Abstract
Background Psychotic transition (PT) is a crucial stage in schizophrenia. The Comprehensive Assessment of At-Risk Mental States (CAARMS) scale can be used to identify individuals at ultra-high risk (UHR) for psychosis and to evaluate their risk of PT. Many environmental and genetic factors have been identified as contributing to the development and decompensation of schizophrenia. This study aimed to determine if the quality of family functioning is associated with PT risk in UHR individuals aged between 11 and 25 years after 1 year of follow-up. Methods From January to November 2017, 45 patients aged 12 to 25 consulting for psychiatric reasons were included. Twenty-six were classified as UHR of PT at the CAARMS. Family functioning was assessed by the Family Assessment Device-Global Functioning (FAD-GF). Thirty-seven of these patients (30% men, mean age 16 ± 2.5) were reassessed at 8-14 months of recruitment. Survival analysis was used to examine the impact of family functioning on PT risk. Results A total of 40% of UHR patients were classified as psychotic at reassessment. Survival analysis showed that better family functioning is a significant protective factor for PT in this population. Discussion This result suggests that the global family functioning has an impact at 1 year on the risk of PT in the population of adolescents and young adults who consult the hospital for psychiatric reasons. A family intervention may be effective in reducing PT risk in this population and should be considered as a potential therapeutic option.
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Affiliation(s)
- Vladimir Adrien
- AP-HP, Department of Psychiatry, Saint-Antoine Hospital, Sorbonne Université, Paris, France
- Infrastructure for Clinical Research in Neuroscience (iCRIN), Paris Brain Institute, Sorbonne Université, INSERM, CNRS, Paris, France
| | - Justine Liewig
- Department of Child and Adolescent Psychiatry, Nord-Essonne Hospital, Bures-sur-Yvette, France
| | - Thomas Diot
- AP-HP, Department of Psychiatry, Saint-Antoine Hospital, Sorbonne Université, Paris, France
| | - Florian Ferreri
- AP-HP, Department of Psychiatry, Saint-Antoine Hospital, Sorbonne Université, Paris, France
- Infrastructure for Clinical Research in Neuroscience (iCRIN), Paris Brain Institute, Sorbonne Université, INSERM, CNRS, Paris, France
| | - Stephane Mouchabac
- AP-HP, Department of Psychiatry, Saint-Antoine Hospital, Sorbonne Université, Paris, France
- Infrastructure for Clinical Research in Neuroscience (iCRIN), Paris Brain Institute, Sorbonne Université, INSERM, CNRS, Paris, France
| | - Caroline Dubertret
- AP-HP, Department of Psychiatry, Louis Mourier Hospital, Université Paris Cité, Faculté de Médecine, Colombes, France
| | - Julie Bourgin
- Department of Child and Adolescent Psychiatry, Nord-Essonne Hospital, Bures-sur-Yvette, France
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12
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Solmi M, Soardo L, Kaur S, Azis M, Cabras A, Censori M, Fausti L, Besana F, Salazar de Pablo G, Fusar-Poli P. Meta-analytic prevalence of comorbid mental disorders in individuals at clinical high risk of psychosis: the case for transdiagnostic assessment. Mol Psychiatry 2023; 28:2291-2300. [PMID: 37296309 PMCID: PMC10611568 DOI: 10.1038/s41380-023-02029-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 06/12/2023]
Abstract
Comorbid mental disorders in subjects at clinical high risk for psychosis (CHR-P) may impact preventive care. We conducted a PRISMA/MOOSE-compliant systematic meta-analysis, searching PubMed/PsycInfo up to June 21st, 2021 for observational studies/randomized controlled trials reporting on comorbid DSM/ICD-mental disorders in CHR-P subjects ( protocol ). The primary and secondary outcomes were baseline and follow-up prevalence of comorbid mental disorders. We also explored the association of comorbid mental disorders compared with CHR-P versus psychotic/non-psychotic control groups, their impact on baseline functioning and transition to psychosis. We conducted random-effects meta-analyses, meta-regression, and assessed heterogeneity/publication bias/quality (Newcastle Ottawa Scale, NOS). We included 312 studies (largest meta-analyzed sample = 7834, any anxiety disorder, mean age = 19.98 (3.40), females = 43.88%, overall NOS > 6 in 77.6% of studies). The prevalence was 0.78 (95% CI = 0.73-0.82, k = 29) for any comorbid non-psychotic mental disorder, 0.60 (95% CI = 0.36-0.84, k = 3) for anxiety/mood disorders, 0.44 (95% CI = 0.39-0.49, k = 48) for any mood disorders, 0.38 (95% CI = 0.33-0.42, k = 50) for any depressive disorder/episode, 0.34 (95% CI = 0.30-0.38, k = 69) for any anxiety disorder, 0.30 (95% CI 0.25-0.35, k = 35) for major depressive disorders, 0.29 (95% CI, 0.08-0.51, k = 3) for any trauma-related disorder, 0.23 (95% CI = 0.17-0.28, k = 24) for any personality disorder, and <0.23 in other mental disorders (I2 > 50% in 71.01% estimates). The prevalence of any comorbid mental disorder decreased over time (0.51, 95% CI = 0.25-0.77 over 96 months), except any substance use which increased (0.19, 95% CI = 0.00-0.39, k = 2, >96 months). Compared with controls, the CHR-P status was associated with a higher prevalence of anxiety, schizotypal personality, panic, and alcohol use disorders (OR from 2.90 to 1.54 versus without psychosis), a higher prevalence of anxiety/mood disorders (OR = 9.30 to 2.02) and lower prevalence of any substance use disorder (OR = 0.41, versus psychosis). Higher baseline prevalence of alcohol use disorder/schizotypal personality disorder was negatively associated with baseline functioning (beta from -0.40 to -0.15), while dysthymic disorder/generalized anxiety disorder with higher functioning (beta 0.59 to 1.49). Higher baseline prevalence of any mood disorder/generalized anxiety disorder/agoraphobia (beta from -2.39 to -0.27) was negatively associated with transition to psychosis. In conclusion, over three-quarters of CHR-P subjects have comorbid mental disorders, which modulate baseline functionig and transition to psychosis. Transdiagnostic mental health assessment should be warranted in subjects at CHR-P.
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Affiliation(s)
- Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- On Track, First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa Ottawa Ontario, Ottawa, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Livia Soardo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Simi Kaur
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom
| | - Matilda Azis
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom
| | - Anna Cabras
- Sapienza University of Rome, Department of Neurology and Psychiatry, Roma, Italy
| | - Marco Censori
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
- Dipartimento di Salute Mentale, Azienda ULSS 3 Serenissima, Venezia, Italy
| | - Luigi Fausti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Filippo Besana
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Sapienza University of Rome, Department of Neurology and Psychiatry, Roma, Italy
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London UK, London, UK
- Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK
- Institute of Psychiatry and Mental Health. Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom.
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
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13
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Radez J, Waite F, Izon E, Johns L. Identifying individuals at risk of developing psychosis: A systematic review of the literature in primary care services. Early Interv Psychiatry 2023; 17:429-446. [PMID: 36632681 PMCID: PMC10946574 DOI: 10.1111/eip.13365] [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: 06/14/2022] [Revised: 10/12/2022] [Accepted: 01/02/2023] [Indexed: 01/13/2023]
Abstract
AIM Psychosis and related disorders are a major public health issue. Early identification and prevention for those at high risk (at-risk-mental-state, ARMS) is important. General practitioners (GPs) are often the first point of contact for health services. In this review we aim to identify (1) the most common methods for identifying individuals with an ARMS in primary care, (2) the methods for improving identification of individuals with an ARMS in primary care, and (3) the most common barriers that prevent GPs from screening for individuals with an ARMS. METHODS We conducted a systematic review (PROSPERO 42021245095) of quantitative and qualitative studies with no date restriction. Searches were performed in September 2021. Studies' quality was appraised using Mixed Methods Appraisal tool (MMAT). RESULTS We identified 16 eligible studies, and all but one provided quantitative data. Nearly two-thirds of studies were classified as 'medium' quality. Employing narrative synthesis, we identified three themes relating to (1) improving GP knowledge and confidence in identifying individuals with an ARMS, (2) balancing the over- and under-identification of individuals with an ARMS in primary care, and (3) supporting GPs as significant stakeholders in early diagnosis and treatment of individuals with an ARMS. CONCLUSIONS Improved identification of individuals with an ARMS is needed. We identified various strategies, including development and implementation of identification methods (e.g., screening measures), educational interventions for GPs (e.g., workshops), and systemic interventions (e.g., simplifying referrals to secondary care, developing integrated services). When implemented successfully, these interventions may help facilitate the access to appropriate care for individuals with an ARMS.
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Affiliation(s)
- Jerica Radez
- Oxford Institute of Clinical Psychology Training and Research, Medical Sciences Division, University of OxfordOxfordUK
- Oxford Health NHS Foundation TrustOxfordUK
| | - Felicity Waite
- Oxford Health NHS Foundation TrustOxfordUK
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Emma Izon
- Oxford Institute of Clinical Psychology Training and Research, Medical Sciences Division, University of OxfordOxfordUK
- Oxford Health NHS Foundation TrustOxfordUK
| | - Louise Johns
- Oxford Institute of Clinical Psychology Training and Research, Medical Sciences Division, University of OxfordOxfordUK
- Oxford Health NHS Foundation TrustOxfordUK
- Department of PsychiatryUniversity of OxfordOxfordUK
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14
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Evaluating the tendencies of community practitioners who actively practice in child and adolescent psychiatry to diagnose and treat DSM-5 attenuated psychotic syndrome. Eur Child Adolesc Psychiatry 2022; 31:1635-1644. [PMID: 34669043 DOI: 10.1007/s00787-021-01897-1] [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: 04/17/2021] [Accepted: 10/13/2021] [Indexed: 10/20/2022]
Abstract
The detection of individuals at clinical ultra-high risk for psychosis (CHR-P) may be a key limiting step for early interventions, and there is some uncertainty regarding the true clinical reliability of the CHR-P states. The aim of this study was to explore how practitioners who were in the direct treatment of children with psychiatric disorders [child psychiatry specialists/trainees (n = 227, n = 131), adult psychiatrists (n = 27), and child neurologists (n = 2)] perceive the DSM-5-Attenuated Psychosis Syndrome (DSM-5-APS), and their clinical routine practice in the treatment of it. Three vignettes describing fictional cases presented with symptoms of either DSM-5-Schizophrenia, DSM-5-APS, and no psychotic symptoms were created. We asked these practitioners to apply a DSM-5 diagnosis and to choose appropriate treatment(s) for these vignettes. Of the responders, 43% correctly diagnosed the APS vignette, whereas 37.4% mentioned that it had a full-blown psychotic episode. Regarding the therapeutic approach for the APS vignette, 72.1% of all practitioners chose a psychopharmacological intervention and 32% individual psychotherapy. This study showed that the diagnostic inter-rater reliability of the DSM-5-APS among child/adolescent mental health practitioners was consistent with the results from the DSM-5 field trials (Kappa = 0.46). Moreover, almost three in four practitioners endorsed psychopharmacological intervention as a treatment option for the DSM-5-APS case. The lack of evidence of psychopharmacological interventions in CHR-P situations emphasizes that the least harmful interventions should be recommended. Thus, our findings indicated a need for raising awareness regarding the CHR-P paradigm and its treatment as well as the development of solid guidelines that can be implemented in clinical practice.
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15
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Millman ZB, West ML, Thibeau H, Sanders AS, Guyer M, Keshavan M, Lilly M, Friedman-Yakoobian M, Woodberry KA, Johnson KA, Kline ER. Changes in community providers' screening behaviours, referral practices, and clinical confidence following participation in an early psychosis educational campaign. Early Interv Psychiatry 2022; 16:744-751. [PMID: 34532946 PMCID: PMC10591393 DOI: 10.1111/eip.13215] [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: 02/17/2021] [Revised: 06/07/2021] [Accepted: 08/15/2021] [Indexed: 11/30/2022]
Abstract
AIM Successful delivery of care to individuals with early psychosis depends on the ability of community providers to identify and refer appropriate candidates for services. Although specialty centres commonly rely upon education and outreach campaigns to building bridges with community providers, few studies have examined the effectiveness of these campaigns or the mechanisms by which they may achieve their intended effects. METHODS We surveyed community clinicians (N = 39) about their screening behaviours, referral practices, and confidence in managing early psychosis just before and 3-6 months after attending an educational event designed to promote recognition and quality treatment of early psychosis. RESULTS Three to six months following attendance, providers reported screening a greater proportion of clients for early psychosis, referring a greater number of clients to specialty services, and feeling more confident in their ability to respond to clients with early psychosis. Increases in confidence following attendance were associated with corresponding increases in screening behaviour. CONCLUSIONS The results suggest that outreach campaigns designed to enhance community providers' knowledge about early psychosis assessment and resources may be effective in promoting screening, referrals, and confidence in managing psychosis. Gains in provider confidence may contribute to increases in screening. Given the lack of control group and relatively short follow-up period, more research is needed to determine the effects of early psychosis educational events and the mechanisms by which they may promote successful treatment delivery for young people in need.
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Affiliation(s)
- Zachary B. Millman
- Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Michelle L. West
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- University of Colorado, Aurora, Colorado, USA
| | - Heather Thibeau
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - A. Simone Sanders
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Margaret Guyer
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Massachusetts Department of Mental Health, Boston, Massachusetts, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Megan Lilly
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Michelle Friedman-Yakoobian
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Kristen A. Woodberry
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Center for Psychiatric Research, Maine Medical Center, Portland, Maine, USA
- Department of Psychiatry, Tufts School of Medicine, Boston, Massachusetts, USA
| | - Kelsey A. Johnson
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Emily R. Kline
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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16
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Millman ZB, Schiffman J, Gold JM, Akouri-Shan L, Demro C, Fitzgerald J, Rakhshan Rouhakhtar PJ, Klaunig M, Rowland LM, Waltz JA. Linking Salience Signaling With Early Adversity and Affective Distress in Individuals at Clinical High Risk for Psychosis: Results From an Event-Related fMRI Study. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac039. [PMID: 35799887 PMCID: PMC9250803 DOI: 10.1093/schizbullopen/sgac039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
Evidence suggests dysregulation of the salience network in individuals with psychosis, but few studies have examined the intersection of stress exposure and affective distress with prediction error (PE) signals among youth at clinical high-risk (CHR). Here, 26 individuals at CHR and 19 healthy volunteers (HVs) completed a monetary incentive delay task in conjunction with fMRI. We compared these groups on the amplitudes of neural responses to surprising outcomes—PEs without respect to their valence—across the whole brain and in two regions of interest, the anterior insula and amygdala. We then examined relations of these signals to the severity of depression, anxiety, and trauma histories in the CHR group. Relative to HV, youth at CHR presented with aberrant PE-evoked activation of the temporoparietal junction and weaker deactivation of the precentral gyrus, posterior insula, and associative striatum. No between-group differences were observed in the amygdala or anterior insula. Among youth at CHR, greater trauma histories were correlated with stronger PE-evoked amygdala activation. No associations were found between affective symptoms and the neural responses to PE. Our results suggest that unvalenced PE signals may provide unique information about the neurobiology of CHR syndromes and that early adversity exposure may contribute to neurobiological heterogeneity in this group. Longitudinal studies of young people with a range of risk syndromes are needed to further disentangle the contributions of distinct aspects of salience signaling to the development of psychopathology.
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Affiliation(s)
- Zachary B Millman
- Psychotic Disorders Division, McLean Hospital , 115 Mill Street, Belmont, MA 02478 , USA
- Department of Psychiatry, Harvard Medical School , 25 Shattuck Street, Boston, MA 02114 , USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine , 4201 Social and Behavioral Sciences Gateway, Irvine, CA 92697-7085 , USA
- Department of Psychology, University of Maryland , Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 , USA
| | - James M Gold
- Maryland Psychiatric Research Center, University of Maryland School of Medicine , 55 Wade Avenue, Catonsville, MD 21228 , USA
| | - LeeAnn Akouri-Shan
- Department of Psychology, University of Maryland , Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 , USA
| | - Caroline Demro
- Department of Psychology, University of Minnesota, 75 East River Parkway , Minneapolis, MN 55455 , USA
| | - John Fitzgerald
- Department of Psychology, University of Maryland , Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 , USA
| | - Pamela J Rakhshan Rouhakhtar
- Department of Psychology, University of Maryland , Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 , USA
| | - Mallory Klaunig
- Department of Psychology, University of Maryland , Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 , USA
| | - Laura M Rowland
- Maryland Psychiatric Research Center, University of Maryland School of Medicine , 55 Wade Avenue, Catonsville, MD 21228 , USA
| | - James A Waltz
- Maryland Psychiatric Research Center, University of Maryland School of Medicine , 55 Wade Avenue, Catonsville, MD 21228 , USA
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17
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Kerins S, Nottage J, Salazar de Pablo G, Kempton MJ, Tognin S, Niemann DH, de Haan L, van Amelsvoort T, Kwon JS, Nelson B, Mizrahi R, McGuire P, Fusar-Poli P. Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study. Front Psychiatry 2022; 13:828376. [PMID: 35370849 PMCID: PMC8970279 DOI: 10.3389/fpsyt.2022.828376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 02/10/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The clinical high-risk for psychosis (CHR-P) paradigm was introduced to detect individuals at risk of developing psychosis and to establish preventive strategies. While current prediction of outcomes in the CHR-P state is based mostly on the clinical assessment of presenting features, several emerging biomarkers have been investigated in an attempt to stratify CHR-P individuals according to their individual trajectories and refine the diagnostic process. However, heterogeneity across subgroups is a key challenge that has limited the impact of the CHR-P prediction strategies, as the clinical validity of the current research is limited by a lack of external validation across sites and modalities. Despite these challenges, electroencephalography (EEG) biomarkers have been studied in this field and evidence suggests that EEG used in combination with clinical assessments may be a key measure for improving diagnostic and prognostic accuracy in the CHR-P state. The PSYSCAN EEG study is an international, multi-site, multimodal longitudinal project that aims to advance knowledge in this field. METHODS Participants at 6 international sites take part in an EEG protocol including EEG recording, cognitive and clinical assessments. CHR-P participants will be followed up after 2 years and subcategorised depending on their illness progression regarding transition to psychosis. Differences will be sought between CHR-P individuals and healthy controls and between CHR-P individuals who transition and those who do not transition to psychosis using data driven computational analyses. DISCUSSION This protocol addresses the challenges faced by previous studies of this kind to enable valid identification of predictive EEG biomarkers which will be combined with other biomarkers across sites to develop a prognostic tool in CHR-P. The PSYSCAN EEG study aims to pave the way for incorporating EEG biomarkers in the assessment of CHR-P individuals, to refine the diagnostic process and help to stratify CHR-P subjects according to risk of transition. This may improve our understanding of the CHR-P state and therefore aid the development of more personalized treatment strategies.
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Affiliation(s)
- Sarah Kerins
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Early Psychosis: Interventions and Clinical-Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Judith Nottage
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Institute of Psychiatry and Mental Health, CIBERSAM, Madrid, Spain.,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Instituto de Investigación Sanitaria Gregorio Marañón, Universidad Complutense, CIBERSAM, Madrid, Spain
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Stefania Tognin
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Outreach and Support in South London (OASIS), South London and Maudsley NHS Foundation Trust, London, United Kingdom.,Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, Netherlands
| | - Dorien H Niemann
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Romina Mizrahi
- Douglas Mental Health University Institute, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,National Institute for Health Research, Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Instituto de Investigación Sanitaria Gregorio Marañón, Universidad Complutense, CIBERSAM, Madrid, Spain.,National Institute for Health Research, Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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18
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Salazar de Pablo G, Woods SW, Drymonitou G, de Diego H, Fusar-Poli P. Prevalence of Individuals at Clinical High-Risk of Psychosis in the General Population and Clinical Samples: Systematic Review and Meta-Analysis. Brain Sci 2021; 11:brainsci11111544. [PMID: 34827543 PMCID: PMC8615691 DOI: 10.3390/brainsci11111544] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 10/30/2021] [Accepted: 11/02/2021] [Indexed: 11/16/2022] Open
Abstract
(1) The consistency and magnitude of the prevalence of Clinical High-Risk for Psychosis (CHR-P) individuals are undetermined, limiting efficient detection of cases. We aimed to evaluate the prevalence of CHR-P individuals systematically assessed in the general population or clinical samples. (2) PRISMA/MOOSE-compliant (PROSPERO: CRD42020168672) meta-analysis of multiple databases until 21/01/21: a random-effects model meta-analysis, heterogeneity analysis, publication bias and quality assessment, sensitivity analysis—according to the gold-standard CHR-P and pre-screening instruments—leave-one-study-out analyses, and meta-regressions were conducted. (3) 35 studies were included, with 37,135 individuals tested and 1554 CHR-P individuals identified (median age = 19.3 years, Interquartile range (IQR) = 15.8–22.1; 52.2% females, IQR = 38.7–64.4). In the general population (k = 13, n = 26,835 individuals evaluated), the prevalence of the CHR-P state was 1.7% (95% Confidence Interval (CI) = 1.0–2.9%). In clinical samples (k = 22, n = 10,300 individuals evaluated), the prevalence of the CHR-P state was 19.2% (95% CI = 12.9–27.7%). Using a pre-screening instrument was associated with false negatives (5.6%, 95% CI = 2.2–13.3%) and a lower CHR-P prevalence (11.5%, 95% CI = 6.2–20.5%) compared to using CHR-P instruments only (28.5%, 95% CI = 23.0–34.7%, p = 0.003). (4) The prevalence of the CHR-P state is low in the general population and ten times higher in clinical samples. The prevalence of CHR-P may increase with a higher proportion of females in the general population and with a younger population in clinical samples. The CHR-P state may be unrecognized in routine clinical practice. These findings can refine detection and preventive strategies.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AB, UK;
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, 28040 Madrid, Spain;
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London WC2R 2LS, UK
- Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London SE5 8AZ, UK
| | - Scott W. Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06520, USA;
| | | | - Héctor de Diego
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, 28040 Madrid, Spain;
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AB, UK;
- OASIS Service, South London and Maudsley NHS Foundation Trust, London SE5 8AZ, UK
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London SE5 8AZ, UK
- Correspondence:
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19
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Primary Psychosis: Risk and Protective Factors and Early Detection of the Onset. Diagnostics (Basel) 2021; 11:diagnostics11112146. [PMID: 34829493 PMCID: PMC8622963 DOI: 10.3390/diagnostics11112146] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/12/2021] [Accepted: 11/17/2021] [Indexed: 01/15/2023] Open
Abstract
Primary psychosis, which includes schizophrenia and other psychoses not caused by other psychic or physical conditions, has a strong impact worldwide in terms of disability, suffering and costs. Consequently, improvement of strategies to reduce the incidence and to improve the prognosis of this disorder is a current need. The purpose of this work is to review the current scientific literature on the main risk and protective factors of primary psychosis and to examine the main models of prevention, especially those related to the early detection of the onset. The conditions more strongly associated with primary psychosis are socio-demographic and economic factors such as male gender, birth in winter, ethnic minority, immigrant status, and difficult socio-economic conditions while the best-established preventive factors are elevated socio-economic status and an economic well-being. Risk and protective factors may be the targets for primordial, primary, and secondary preventive strategies. Acting on modifiable factors may reduce the incidence of the disorder or postpone its onset, while an early detection of the new cases enables a prompt treatment and a consequential better prognosis. According to this evidence, the study of the determinants of primary psychosis has a pivotal role in designing and promoting preventive policies aimed at reducing the burden of disability and suffering of the disorder.
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20
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Koutsouleris N, Worthington M, Dwyer DB, Kambeitz-Ilankovic L, Sanfelici R, Fusar-Poli P, Rosen M, Ruhrmann S, Anticevic A, Addington J, Perkins DO, Bearden CE, Cornblatt BA, Cadenhead KS, Mathalon DH, McGlashan T, Seidman L, Tsuang M, Walker EF, Woods SW, Falkai P, Lencer R, Bertolino A, Kambeitz J, Schultze-Lutter F, Meisenzahl E, Salokangas RKR, Hietala J, Brambilla P, Upthegrove R, Borgwardt S, Wood S, Gur RE, McGuire P, Cannon TD. Toward Generalizable and Transdiagnostic Tools for Psychosis Prediction: An Independent Validation and Improvement of the NAPLS-2 Risk Calculator in the Multisite PRONIA Cohort. Biol Psychiatry 2021; 90:632-642. [PMID: 34482951 PMCID: PMC8500930 DOI: 10.1016/j.biopsych.2021.06.023] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 06/03/2021] [Accepted: 06/27/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Transition to psychosis is among the most adverse outcomes of clinical high-risk (CHR) syndromes encompassing ultra-high risk (UHR) and basic symptom states. Clinical risk calculators may facilitate an early and individualized interception of psychosis, but their real-world implementation requires thorough validation across diverse risk populations, including young patients with depressive syndromes. METHODS We validated the previously described NAPLS-2 (North American Prodrome Longitudinal Study 2) calculator in 334 patients (26 with transition to psychosis) with CHR or recent-onset depression (ROD) drawn from the multisite European PRONIA (Personalised Prognostic Tools for Early Psychosis Management) study. Patients were categorized into three risk enrichment levels, ranging from UHR, over CHR, to a broad-risk population comprising patients with CHR or ROD (CHR|ROD). We assessed how risk enrichment and different predictive algorithms influenced prognostic performance using reciprocal external validation. RESULTS After calibration, the NAPLS-2 model predicted psychosis with a balanced accuracy (BAC) (sensitivity, specificity) of 68% (73%, 63%) in the PRONIA-UHR cohort, 67% (74%, 60%) in the CHR cohort, and 70% (73%, 66%) in patients with CHR|ROD. Multiple model derivation in PRONIA-CHR|ROD and validation in NAPLS-2-UHR patients confirmed that broader risk definitions produced more accurate risk calculators (CHR|ROD-based vs. UHR-based performance: 67% [68%, 66%] vs. 58% [61%, 56%]). Support vector machines were superior in CHR|ROD (BAC = 71%), while ridge logistic regression and support vector machines performed similarly in CHR (BAC = 67%) and UHR cohorts (BAC = 65%). Attenuated psychotic symptoms predicted psychosis across risk levels, while younger age and reduced processing speed became increasingly relevant for broader risk cohorts. CONCLUSIONS Clinical-neurocognitive machine learning models operating in young patients with affective and CHR syndromes facilitate a more precise and generalizable prediction of psychosis. Future studies should investigate their therapeutic utility in large-scale clinical trials.
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Affiliation(s)
- Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; Max-Planck Institute of Psychiatry, Munich, Germany; Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, United Kingdom.
| | | | - Dominic B Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Rachele Sanfelici
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Paolo Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, United Kingdom
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Alan Anticevic
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | | | | | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, California; San Francisco VA Medical Center, San Francisco, California
| | - Thomas McGlashan
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Larry Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Ming Tsuang
- University of California San Diego, San Diego, California
| | - Elaine F Walker
- Department of Psychology and Psychiatry, Emory University, Atlanta, Georgia
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany; Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-Universität Düsseldorf, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-Universität Düsseldorf, Germany
| | | | - Jarmo Hietala
- Department of Psychiatry, University of Turku, Turku, Finland
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Rachel Upthegrove
- Institute of Mental Health, University of Birmingham, Birmingham, United Kingdom; School of Psychology, University of Birmingham, Birmingham, United Kingdom
| | - Stefan Borgwardt
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany; Department of Psychiatry (Psychiatric University Hospital, UPK), University of Basel, Basel, Switzerland
| | - Stephen Wood
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Orygen, National Centre of Excellence for Youth Mental Health, Melbourne, Victoria, Australia
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Philip McGuire
- Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, United Kingdom
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut; Department of Psychiatry, Yale University, New Haven, Connecticut
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21
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Fusar-Poli P, Minichino A, Brambilla P, Raballo A, Bertolino A, Borgatti R, Mensi M, Ferro A, Galderisi S. ITAlian partnership for psychosis prevention (ITAPP): Improving the mental health of young people. Eur Psychiatry 2021; 64:e62. [PMID: 34544509 PMCID: PMC8581702 DOI: 10.1192/j.eurpsy.2021.2232] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Background The European impact of the clinical high risk for psychosis (CHR-P) paradigm is constrained by the lack of critical mass (detection) to power prognostic and preventive interventions. Methods An ITAlian partnership for psychosis prevention (ITAPP) was created across CHR-P centers, which were surveyed to describe: (a) service, catchment area, and outreach; (b) service users; and (c) interventions and outcomes. Descriptive statistics and Kaplan–Meier failure function complemented the analyses. Results The ITAPP included five CHR-P clinical academic centers established from 2007 to 2018, serving about 13 million inhabitants, with a recruitment capacity of 277 CHR-P individuals (mean age: 18.7 years, SD: 4.8, range: 12–39 years; 53.1% females; 85.7% meeting attenuated psychotic symptoms; 85.8% without any substance abuse). All centers were multidisciplinary and included adolescents and young adults (transitional) primarily recruited through healthcare services. The comprehensive assessment of at-risk mental state was the most widely used instrument, while the duration of follow-up, type of outreach, and preventive interventions were heterogeneous. Across 205 CHR-P individuals with follow up (663.7 days ± 551.7), the cumulative risk of psychosis increased from 8.7% (95% CI 5.3–14.1) at 1 year to 15.9% (95% CI 10.6–23.3) at 2 years, 21.8% (95% CI 14.9–31.3) at 3 years, 34.8% (95% CI 24.5–47.9) at 4 years, and 51.9% (95% CI 36.3–69.6) at 5 years. Conclusions The ITAPP is one of the few CHR-P clinical research partnerships in Europe for fostering detection, prognosis, and preventive care, as well as for translating research innovations into practice.
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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 & Neuroscience, King's College London, London, United Kingdom.,OASIS Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Amedeo Minichino
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Paolo Brambilla
- Dipartimento di Fisiopatologia Medico-Chirugica e dei Trapianiti, Università degli Studi di Milano La Statale, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Andrea Raballo
- Dipartimento di Medicina e Chirurgia, Università degli Studi di Perugia, Perugia, Italy
| | - Alessandro Bertolino
- Dipartimento di Scienze Mediche di Base, Neuroscienze e Organi di Senso, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Renato Borgatti
- Child Neuropsychiatry Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Martina Mensi
- Child Neuropsychiatry Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Adele Ferro
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Silvana Galderisi
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
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22
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Prakash J, Chatterjee K, Srivastava K, Chauhan VS. First-episode psychosis: How long does it last? A review of evolution and trajectory. Ind Psychiatry J 2021; 30:198-206. [PMID: 35017801 PMCID: PMC8709526 DOI: 10.4103/ipj.ipj_38_21] [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: 02/23/2021] [Revised: 03/13/2021] [Accepted: 03/16/2021] [Indexed: 11/12/2022] Open
Abstract
Study of first-episode psychosis (FEP), an episode of psychotic nature which manifests for the first time in an individual in the longitudinal continuum of his/her illness, has been study matter of research interest in recent years. A comprehensive review of the literature will help us understand the evolution and trajectory of this concept better. A literature review of available articles addressing the concept, phenomenology, evolution, identification, course, and outcome of FEP was done; the same was subsequently divided into broad topics for better clarity and analyzed. FEP constituted a clinical psychotic phenomenon with underlying significant heterogeneity in diagnosis, stability, course, and outcome. The study has attempted to view FEP both as horizontal spectrum across various diagnoses and longitudinally ranging from asymptomatic individual with unknown risk status to attenuated psychosis to multiple relapses/unremitting illness. Many risk and protective factors have been brought out with varying certainty ranging bio-psycho-social spectrum. Efforts have been made to calculate polygenic risk score based on genes involvement/sharing between various psychotic spectrum disorders; as well as biomarker panels to identify people at risk. FEP may prove to be an important concept to understand psychosis in general; without putting things into the diagnostic rubric. It may help understand multiple risk and protective factors for the course and outcome of psychotic illness and may clear the cloud to sharpen the evidence toward commonality and distinctiveness between various psychotic diagnoses in vogue for more comprehensive concept.
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Affiliation(s)
- Jyoti Prakash
- Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India
| | - K. Chatterjee
- Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India
| | - K. Srivastava
- Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India
| | - V. S. Chauhan
- Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India
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23
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Catalan A, Salazar de Pablo G, Aymerich C, Damiani S, Sordi V, Radua J, Oliver D, McGuire P, Giuliano AJ, Stone WS, Fusar-Poli P. Neurocognitive Functioning in Individuals at Clinical High Risk for Psychosis: A Systematic Review and Meta-analysis. JAMA Psychiatry 2021; 78:2781288. [PMID: 34132736 PMCID: PMC8209603 DOI: 10.1001/jamapsychiatry.2021.1290] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 03/26/2021] [Indexed: 12/15/2022]
Abstract
IMPORTANCE Neurocognitive functioning is a potential biomarker to advance detection, prognosis, and preventive care for individuals at clinical high risk for psychosis (CHR-P). The current consistency and magnitude of neurocognitive functioning in individuals at CHR-P are undetermined. OBJECTIVE To provide an updated synthesis of evidence on the consistency and magnitude of neurocognitive functioning in individuals at CHR-P. DATA SOURCES Web of Science database, Cochrane Central Register of Reviews, and Ovid/PsycINFO and trial registries up to July 1, 2020. STUDY SELECTION Multistep literature search compliant with Preferred Reporting Items for Systematic Reviews and Meta-analyses and Meta-analysis of Observational Studies in Epidemiology performed by independent researchers to identify original studies reporting on neurocognitive functioning in individuals at CHR-P. DATA EXTRACTION AND SYNTHESIS Independent researchers extracted the data, clustering the neurocognitive tasks according to 7 Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) domains and 8 CHR-P domains. Random-effect model meta-analyses, assessment of publication biases and study quality, and meta-regressions were conducted. MAIN OUTCOMES AND MEASURES The primary effect size measure was Hedges g of neurocognitive functioning in individuals at CHR-P (1) compared with healthy control (HC) individuals or (2) compared with individuals with first-episode psychosis (FEP) or (3) stratified for the longitudinal transition to psychosis. RESULTS A total of 78 independent studies were included, consisting of 5162 individuals at CHR-P (mean [SD; range] age, 20.2 [3.3; 12.0-29.0] years; 2529 [49.0%] were female), 2865 HC individuals (mean [SD; range] age, 21.1 [3.6; 12.6-29.2] years; 1490 [52.0%] were female), and 486 individuals with FEP (mean [SD; range] age, 23.0 [2.0; 19.1-26.4] years; 267 [55.9%] were female). Compared with HC individuals, individuals at CHR-P showed medium to large deficits on the Stroop color word reading task (g = -1.17; 95% CI, -1.86 to -0.48), Hopkins Verbal Learning Test-Revised (g = -0.86; 95% CI, -1.43 to -0.28), digit symbol coding test (g = -0.74; 95% CI, -1.19 to -0.29), Brief Assessment of Cognition Scale Symbol Coding (g = -0.67; 95% CI, -0.95 to -0.39), University of Pennsylvania Smell Identification Test (g = -0.55; 95% CI, -0.97 to -0.12), Hinting Task (g = -0.53; 95% CI, -0.77 to -0.28), Rey Auditory Verbal Learning Test (g = -0.50; 95% CI, -0.78 to -0.21), California Verbal Learning Test (CVLT) (g = -0.50; 95% CI, -0.64 to -0.36), and National Adult Reading Test (g = -0.52; 95% CI, -1.01 to -0.03). Individuals at CHR-P were less impaired than individuals with FEP. Longitudinal transition to psychosis from a CHR-P state was associated with medium to large deficits in the CVLT task (g = -0.58; 95% CI, -1.12 to -0.05). Meta-regressions found significant effects for age and education on processing speed. CONCLUSIONS AND RELEVANCE Findings from this meta-analysis support neurocognitive dysfunction as a potential detection and prognostic biomarker in individuals at CHR-P. These findings may advance clinical research and inform preventive approaches.
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Affiliation(s)
- Ana Catalan
- Psychiatry Department, Basurto University
Hospital, Bilbao, Spain
- Biocruces Bizkaia Health Research Institute,
Barakaldo, Spain
- Facultad de Medicina y Odontología.
University of the Basque Country, UPV/EHU, Leioa, Spain
- Early Psychosis: Interventions and
Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of
Psychiatry, Psychology & Neuroscience, King’s College London, London,
United Kingdom
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and
Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of
Psychiatry, Psychology & Neuroscience, King’s College London, London,
United Kingdom
- Department of Child and Adolescent Psychiatry,
Institute of Psychiatry and Mental Health. Hospital General Universitario Gregorio
Marañón, Madrid, Spain
- School of Medicine, Universidad Complutense,
IiSGM, CIBERSAM, Madrid, Spain
| | - Claudia Aymerich
- Psychiatry Department, Basurto University
Hospital, Bilbao, Spain
| | - Stefano Damiani
- Department of Brain and Behavioral Sciences,
University of Pavia, Pavia, Italy
| | - Veronica Sordi
- Department of Brain and Behavioral Sciences,
University of Pavia, Pavia, Italy
| | - Joaquim Radua
- Early Psychosis: Interventions and
Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of
Psychiatry, Psychology & Neuroscience, King’s College London, London,
United Kingdom
- Imaging of Mood- and Anxiety-Related Disorders
Group, Mental Health Research Networking Center, Institut d’Investigacions
Biomèdiques August Pi i Sunyer, CIBERSAM, Barcelona, Spain
- Department of Clinical Neuroscience, Centre for
Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Dominic Oliver
- Early Psychosis: Interventions and
Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of
Psychiatry, Psychology & Neuroscience, King’s College London, London,
United Kingdom
| | - Philip McGuire
- National Institute for Health Research
Biomedical Research Centre, London, United Kingdom
- Department of Psychosis Studies, Institute of
Psychiatry, Psychology & Neuroscience, King’s College London, London,
United Kingdom
- Outreach and Support in South London Service,
South London and Maudsley National Health Service Foundation Trust, London, United
Kingdom
| | - Anthony J. Giuliano
- Worcester Recovery Center & Hospital,
Massachusetts Department of Mental Health, Boston
| | - William S. Stone
- Department of Psychiatry, Beth Israel
Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and
Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of
Psychiatry, Psychology & Neuroscience, King’s College London, London,
United Kingdom
- Department of Brain and Behavioral Sciences,
University of Pavia, Pavia, Italy
- National Institute for Health Research
Biomedical Research Centre, London, United Kingdom
- Outreach and Support in South London Service,
South London and Maudsley National Health Service Foundation Trust, London, United
Kingdom
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24
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Solmi M, Radua J, Stubbs B, Ricca V, Moretti D, Busatta D, Carvalho AF, Dragioti E, Favaro A, Monteleone AM, Shin JI, Fusar-Poli P, Castellini G. Risk factors for eating disorders: an umbrella review of published meta-analyses. ACTA ACUST UNITED AC 2021; 43:314-323. [PMID: 32997075 PMCID: PMC8136381 DOI: 10.1590/1516-4446-2020-1099] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 06/12/2020] [Indexed: 02/07/2023]
Abstract
Objective: To grade the evidence about risk factors for eating disorders (anorexia nervosa, bulimia nervosa, and binge eating disorder) with an umbrella review approach. Methods: This was a systematic review of observational studies on risk factors for eating disorders published in PubMed/PsycInfo/Embase until December 11th, 2019. We recalculated random-effect meta-analyses, heterogeneity, small-study effect, excess significance bias and 95% prediction intervals, grading significant evidence (p < 0.05) from convincing to weak according to established criteria. Quality was assessed with the Assessment of Multiple Systematic Reviews 2 (AMSTAR-2) tool. Results: Of 2,197 meta-analyses, nine were included, providing evidence on 50 risk factors, 29,272 subjects with eating disorders, and 1,679,385 controls. Although no association was supported by convincing evidence, highly suggestive evidence supported the association between childhood sexual abuse and bulimia nervosa (k = 29, 1,103 cases with eating disorders, 8,496 controls, OR, 2.73, 95%CI 1.96-3.79, p = 2.1 x 10-9, AMSTAR-2 moderate quality) and between appearance-related teasing victimization and any eating disorder (k = 10, 1,341 cases with eating disorders, 3,295 controls, OR 2.91, 95%CI 2.05-4.12, p = 1.8x10-9, AMSTAR-2 moderate quality). Suggestive, weak, or no evidence supported 11, 29, and 8 associations, respectively. Conclusions: The most credible evidence indicates that early traumatic and stressful events are risk factors for eating disorders. Larger collaborative prospective cohort studies are needed to identify risk factors for eating disorders, particularly anorexia nervosa.
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Affiliation(s)
- Marco Solmi
- Dipartimento di Neuroscienze, Università di Padova, Padova, Italy.,Padua Neuroscience Center, Università di Padova, Padova, Italy.,Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Barcelona, Spain.,Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, United Kingdom.,Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Positive Ageing Research Institute, Anglia Ruskin University, Cambridge, United Kingdom
| | - Valdo Ricca
- Unità di Psichiatria, Dipartimento Scienze della Salute, Università degli studi di Firenze, Firenze, Italy
| | - Davide Moretti
- Unità di Psichiatria, Dipartimento Scienze della Salute, Università degli studi di Firenze, Firenze, Italy
| | - Daniele Busatta
- Unità di Psichiatria, Dipartimento Scienze della Salute, Università degli studi di Firenze, Firenze, Italy
| | - Andre F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Elena Dragioti
- Pain and Rehabilitation Center, Department of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Angela Favaro
- Dipartimento di Neuroscienze, Università di Padova, Padova, Italy.,Padua Neuroscience Center, Università di Padova, Padova, Italy
| | | | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,OASIS Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom.,Dipartimento di Scienze del Sistema Nervoso e del Comportamento, Università di Pavia, Pavia, Italy
| | - Giovanni Castellini
- Unità di Psichiatria, Dipartimento Scienze della Salute, Università degli studi di Firenze, Firenze, Italy
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25
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Few primary care pediatricians screen for psychosis but many are willing. Schizophr Res 2021; 232:65-67. [PMID: 34022617 DOI: 10.1016/j.schres.2021.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 04/27/2021] [Accepted: 05/02/2021] [Indexed: 11/21/2022]
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26
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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: 167] [Impact Index Per Article: 55.7] [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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27
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Silverstein SM, Thompson JL, Gold JM, Schiffman J, Waltz JA, Williams TF, Zinbarg RE, Mittal VA, Ellman LM, Strauss GP, Walker EF, Woods SW, Levin JA, Kafadar E, Kenney J, Smith D, Powers AR, Corlett PR. Increased face detection responses on the mooney faces test in people at clinical high risk for psychosis. NPJ SCHIZOPHRENIA 2021; 7:26. [PMID: 34001909 PMCID: PMC8129098 DOI: 10.1038/s41537-021-00156-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 03/19/2021] [Indexed: 02/03/2023]
Abstract
Identifying state-sensitive measures of perceptual and cognitive processes implicated in psychosis may allow for objective, earlier, and better monitoring of changes in mental status that are predictive of an impending psychotic episode, relative to traditional self-report-based clinical measures. To determine whether a measure of visual perception that has demonstrated sensitivity to the clinical state of schizophrenia in multiple prior studies is sensitive to features of the at-risk mental state, we examined differences between young people identified as being at clinical high risk for psychosis (CHR; n = 37) and non-psychiatric matched controls (n = 29) on the Mooney Faces Test (MFT). On each trial of the MFT, participants report whether they perceive a face in a degraded face image. The CHR group reported perceiving a greater number of faces in both upright and inverted MFT stimuli. Consistent with prior work, males reported more faces on the MFT than females in both conditions. However, the finding of greater reported face perception among CHR subjects was robustly observed in the female CHR group relative to the female control group. Among male CHR participants, greater reported face perception was related to increased perceptual abnormalities. These preliminary results are consistent with a small but growing literature suggesting that heightened perceptual sensitivity may characterize individuals at increased clinical risk for psychosis. Further studies are needed to determine the contributions of specific perceptual, cognitive, and motivational mechanisms to the findings.
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Affiliation(s)
- Steven M. Silverstein
- grid.412750.50000 0004 1936 9166University of Rochester Medical Center, New York, NY USA
| | - Judy L. Thompson
- grid.412750.50000 0004 1936 9166University of Rochester Medical Center, New York, NY USA
| | - James M. Gold
- grid.411024.20000 0001 2175 4264University of Maryland School of Medicine, Baltimore, MD USA
| | - Jason Schiffman
- grid.411024.20000 0001 2175 4264University of Maryland School of Medicine, Baltimore, MD USA ,grid.266093.80000 0001 0668 7243Present Address: University of California, Irvine, CA USA
| | - James A. Waltz
- grid.411024.20000 0001 2175 4264University of Maryland School of Medicine, Baltimore, MD USA
| | - Trevor F. Williams
- grid.16753.360000 0001 2299 3507Northwestern University, Evanston, IL USA
| | - Richard E. Zinbarg
- grid.16753.360000 0001 2299 3507Northwestern University, Evanston, IL USA
| | - Vijay A. Mittal
- grid.16753.360000 0001 2299 3507Northwestern University, Evanston, IL USA
| | - Lauren M. Ellman
- grid.264727.20000 0001 2248 3398Temple University, Philadelphia, PA USA
| | | | - Elaine F. Walker
- grid.189967.80000 0001 0941 6502Emory University, Atlanta, GA USA
| | - Scott W. Woods
- grid.47100.320000000419368710Yale University, New Haven, CT USA
| | - Jason A. Levin
- grid.213876.90000 0004 1936 738XUniversity of Georgia, Athens, GA USA
| | - Eren Kafadar
- grid.47100.320000000419368710Yale University, New Haven, CT USA
| | - Joshua Kenney
- grid.47100.320000000419368710Yale University, New Haven, CT USA
| | - Dillon Smith
- grid.16750.350000 0001 2097 5006Princeton University, Princeton, NJ USA
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28
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Mensi MM, Molteni S, Iorio M, Filosi E, Ballante E, Balottin U, Fusar-Poli P, Borgatti R. Prognostic Accuracy of DSM-5 Attenuated Psychosis Syndrome in Adolescents: Prospective Real-World 5-Year Cohort Study. Schizophr Bull 2021; 47:1663-1673. [PMID: 33939829 PMCID: PMC8530398 DOI: 10.1093/schbul/sbab041] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
There is limited research in adolescents at risk for psychosis. The new Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition attenuated psychosis syndrome (DSM-5 APS) criteria have not been validated in this group. We conducted a RECORD-compliant, real-world, prospective, 5-year cohort study addressing clinical profile, transition to psychosis, and prognostic accuracy of DSM-5 APS in help-seeking inpatient/outpatient adolescents accessing Children and Adolescent Neuropsychiatric services at IRCCS Mondino Foundation (Pavia, Lombardy, Italy) between 2012 and 2019. About 243 adolescents (31 early-onset psychosis [EOP]; 110 meeting DSM-5 APS criteria, DSM-5 APS; 102 not meeting psychotic or DSM-5 APS criteria, non-APS) were included. At baseline, DSM-5 APS adolescents (aged 15.4 ± 1.6) had on average 2.3 comorbid disorders (higher than EOP/non-APS, P < .001). DSM-5 APS adolescents had an intermediate psychopathological profile between non-APS/EOP (P < .001) and worsen Clinical Global Impression-Severity than non-APS (P < .001). DSM-5 APS functioning was intermediate between non-APS and EOP. 39.1% of DSM-5 APS were treated with psychotropic drugs (average = 64 days); 53.6% received psychotherapy. Follow-up of DSM-5 APS and non-APS groups lasted 33 and 26 months, respectively (median). The cumulative risk of transition at 1-5 years was 13%, 17%, 24.2%, 26.8%, and 26.8% in the DSM-5 APS group, 0%, 0%, 3.2%, 3.2%, and 3.2% in the non-APS group. The 5-year prognostic accuracy of the DSM-5 APS in adolescent was adequate (area under the curve = 0.77; Harrell's C = 0.736, 95%CI 0.697-0.775), with high sensitivity (91.3%) and suboptimal specificity (63.2%). The DSM-5 APS diagnosis can be used to detect help-seeking adolescents at risk of psychosis and predict their long-term outcomes. Future research should consolidate these findings.
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Affiliation(s)
- Martina Maria Mensi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy,Child Neurology and Psychiatry Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Silvia Molteni
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy,Child Neuropsychiatry Unit, ASST Lariana, Como, Italy
| | - Melanie Iorio
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Eleonora Filosi
- Child Neurology and Psychiatry Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Elena Ballante
- Department of Mathematics, University of Pavia, Pavia,Italy,BioData Science Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Umberto Balottin
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Paolo Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy,Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK,OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK,To whom correspondence should be addressed; via Mondino 2, 27100 Pavia, Italy; tel: +390382430211, fax: +390382430236, e-mail:
| | - Renato Borgatti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy,Child Neurology and Psychiatry Unit, IRCCS Mondino Foundation, Pavia, Italy
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29
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Catalan A, Salazar de Pablo G, Vaquerizo Serrano J, Mosillo P, Baldwin H, Fernández-Rivas A, Moreno C, Arango C, Correll CU, Bonoldi I, Fusar-Poli P. Annual Research Review: Prevention of psychosis in adolescents - systematic review and meta-analysis of advances in detection, prognosis and intervention. J Child Psychol Psychiatry 2021; 62:657-673. [PMID: 32924144 DOI: 10.1111/jcpp.13322] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/20/2020] [Accepted: 07/31/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND The clinical high-risk state for psychosis (CHR-P) paradigm has facilitated the implementation of psychosis prevention into clinical practice; however, advancements in adolescent CHR-P populations are less established. METHODS We performed a PRISMA/MOOSE-compliant systematic review of the Web of Science database, from inception until 7 October 2019, to identify original studies conducted in CHR-P children and adolescents (mean age <18 years). Findings were systematically appraised around core themes: detection, prognosis and intervention. We performed meta-analyses (employing Q statistics and I 2 test) regarding the proportion of CHR-P subgroups, the prevalence of baseline comorbid mental disorders, the risk of psychosis onset and the type of interventions received at baseline. Quality assessment and publication bias were also analysed. RESULTS Eighty-seven articles were included (n = 4,667 CHR-P individuals). Quality of studies ranged from 3.5 to 8 (median 5.5) on a modified Newcastle-Ottawa scale. Detection: Individuals were aged 15.6 ± 1.2 years (51.5% males), mostly (83%) presenting with attenuated positive psychotic symptoms. CHR-P psychometric accuracy improved when caregivers served as additional informants. Comorbid mood (46.4%) and anxiety (31.4%) disorders were highly prevalent. Functioning and cognition were impaired. Neurobiological studies were inconclusive. PROGNOSIS Risk for psychosis was 10.4% (95%CI: 5.8%-18.1%) at 6 months, 20% (95%CI: 15%-26%) at 12 months, 23% (95%CI: 18%-29%) at 24 months and 23.3% (95%CI: 17.3%-30.7%) at ≥36 months. INTERVENTIONS There was not enough evidence to recommend one specific treatment (including cognitive behavioural therapy) over the others (including control conditions) to prevent the transition to psychosis in this population. Randomised controlled trials suggested that family interventions, cognitive remediation and fish oil supplementation may improve cognition, symptoms and functioning. At baseline, 30% of CHR-P adolescents were prescribed antipsychotics and 60% received psychotherapy. CONCLUSIONS It is possible to detect and formulate a group-level prognosis in adolescents at risk for psychosis. Future interventional research is required.
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Affiliation(s)
- Ana Catalan
- Mental Health Department - Biocruces Bizkaia Health Research Institute, Basurto University Hospital, Faculty of Medicine and Dentistry, University of the Basque Country - UPV/EHU, Biscay, Spain.,Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, IiSGM, CIBERSAM, Complutense University of Madrid, Madrid, Spain
| | - Julio Vaquerizo Serrano
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, IiSGM, CIBERSAM, Complutense University of Madrid, Madrid, Spain
| | - Pierluca Mosillo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,Faculty of Medicine and Surgery, University of Pavia, Pavia, Italy
| | - Helen Baldwin
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Aranzazu Fernández-Rivas
- Mental Health Department - Biocruces Bizkaia Health Research Institute, Basurto University Hospital, Faculty of Medicine and Dentistry, University of the Basque Country - UPV/EHU, Biscay, Spain
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, IiSGM, CIBERSAM, Complutense University of Madrid, Madrid, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, IiSGM, CIBERSAM, Complutense University of Madrid, Madrid, Spain
| | - Christoph U Correll
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA.,Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/ Northwell, Hempstead, NY, USA.,Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Ilaria Bonoldi
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,OASIS service, South London and Maudsley NHS Foundation Trust, London, UK.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
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Irving J, Patel R, Oliver D, Colling C, Pritchard M, Broadbent M, Baldwin H, Stahl D, Stewart R, Fusar-Poli P. Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk. Schizophr Bull 2021; 47:405-414. [PMID: 33025017 PMCID: PMC7965059 DOI: 10.1093/schbul/sbaa126] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Using novel data mining methods such as natural language processing (NLP) on electronic health records (EHRs) for screening and detecting individuals at risk for psychosis. METHOD The study included all patients receiving a first index diagnosis of nonorganic and nonpsychotic mental disorder within the South London and Maudsley (SLaM) NHS Foundation Trust between January 1, 2008, and July 28, 2018. Least Absolute Shrinkage and Selection Operator (LASSO)-regularized Cox regression was used to refine and externally validate a refined version of a five-item individualized, transdiagnostic, clinically based risk calculator previously developed (Harrell's C = 0.79) and piloted for implementation. The refined version included 14 additional NLP-predictors: tearfulness, poor appetite, weight loss, insomnia, cannabis, cocaine, guilt, irritability, delusions, hopelessness, disturbed sleep, poor insight, agitation, and paranoia. RESULTS A total of 92 151 patients with a first index diagnosis of nonorganic and nonpsychotic mental disorder within the SLaM Trust were included in the derivation (n = 28 297) or external validation (n = 63 854) data sets. Mean age was 33.6 years, 50.7% were women, and 67.0% were of white race/ethnicity. Mean follow-up was 1590 days. The overall 6-year risk of psychosis in secondary mental health care was 3.4 (95% CI, 3.3-3.6). External validation indicated strong performance on unseen data (Harrell's C 0.85, 95% CI 0.84-0.86), an increase of 0.06 from the original model. CONCLUSIONS Using NLP on EHRs can considerably enhance the prognostic accuracy of psychosis risk calculators. This can help identify patients at risk of psychosis who require assessment and specialized care, facilitating earlier detection and potentially improving patient outcomes.
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Affiliation(s)
- Jessica Irving
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Rashmi Patel
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Craig Colling
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Megan Pritchard
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | | | - Helen Baldwin
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Daniel Stahl
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Robert Stewart
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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Abstract
Rapid urbanization worldwide is associated to an increase of population in the urban settings and this is leading to new emerging mental health issues. This narrative mini-review is based on a literature search conducted through PubMed and EMBASE. A total of 113 articles published on the issue of urban mental health have been selected, cited, reviewed, and summarized. There are emerging evidences about the association between urbanization and mental health issues. Urbanization affects mental health through social, economic, and environmental factors. It has been shown that common mental syndromes report higher prevalence in the cities. Social disparities, social insecurity, pollution, and the lack of contact with nature are some of recognized factors affecting urban mental health. Further reserach studies and specific guidelines should be encouraged to help policy makers and urban designers to improve mental health and mental health care facilities in the cities; additional strategies to prevent and reduce mental illness in the urban settings should be also adopted globally.
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Solmi M, Civardi S, Corti R, Anil J, Demurtas J, Lange S, Radua J, Dragioti E, Fusar-Poli P, Carvalho AF. Risk and protective factors for alcohol and tobacco related disorders: An umbrella review of observational studies. Neurosci Biobehav Rev 2021; 121:20-28. [PMID: 33248149 DOI: 10.1016/j.neubiorev.2020.11.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 11/05/2020] [Accepted: 11/10/2020] [Indexed: 12/16/2022]
Abstract
The credibility of evidence of various environmental risk factors for alcohol and tobacco use disorders (AUD/TUD) needs to be graded to identify groups to target with selective prevention. A systematic umbrella review was conducted (PubMed/PsycINFO), grading credibility of meta-analyses of prospective/retrospective observational cohort studies assessing risk/protective factors for AUD/TUD, applying established quantitative criteria. Sensitivity analyses were conducted. Quality of eligible meta-analyses was assessed with AMSTAR-2. Out of 8464 unique references, 80 full text articles were scrutinized, and 12 meta-analyses, corresponding to 21 individual estimates of 12 putative risk/protective factors (n = 241,300), were included. In main analyses no association had convincing nor highly suggestive evidence for AUD/TUD. Six associations had suggestive evidence for AUD, two for TUD. Among these, in sensitivity analyses without >1000 cases criterion, convincing evidence emerged for parental alcohol supply, and impulsivity traits in college students for AUD, and attention-deficit/hyperactivity disorder for TUD. Other associations were supported by weak evidence/were not nominally significant. Few risk factors identified at-risk groups where selective preventative strategies could be developed to prevent AUD/TUD.
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Affiliation(s)
- Marco Solmi
- Neuroscience Department, University of Padua, Italy; Padua Neuroscience Center, University of Padua, Italy; Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Serena Civardi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Roberto Corti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - John Anil
- North American College of Information Technology, Scarborough, Canada
| | - Jacopo Demurtas
- Primary Care Department, Azienda Usl Toscana Sud Est, Grosseto, Italy
| | - Shannon Lange
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Canada
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Elena Dragioti
- Pain and Rehabilitation Center and Department of Medicine and Health Sciences (IMH), Faculty of Health Sciences University of Linköping, SE- 581 85 Linköping, Sweden
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; OASIS Service, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Andre F Carvalho
- IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia; Department of Psychiatry, University of Toronto, and the Centre for Addiction and Mental Health, Toronto, ON, Canada
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33
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Puntis S, Oliver D, Fusar-Poli P. Third external replication of an individualised transdiagnostic prediction model for the automatic detection of individuals at risk of psychosis using electronic health records. Schizophr Res 2021; 228:403-409. [PMID: 33556673 DOI: 10.1016/j.schres.2021.01.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 01/03/2021] [Accepted: 01/18/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Primary indicated prevention is a key target for reducing the incidence and burden of schizophrenia and related psychotic disorders. An individualised, clinically-based transdiagnostic model for the detection of individuals at risk of psychosis has been developed and validated in two large, urban healthcare providers. We tested its external validity in a geographically and demographically different non-urban population. METHOD Retrospective EHR cohort study. All individuals accessing secondary healthcare provided by Oxford Health NHS Foundation Trust between 1st January 2011 and 30th November 2019 and receiving a primary index diagnosis of a non-psychotic or non-organic mental disorder were considered eligible. The previously developed model was applied to this database and its external prognostic accuracy was measured with Harrell's C. FINDINGS The study included n = 33,710 eligible individuals, with an average age of 27.7 years (SD = 19.8), mostly white (92.0%) and female (57.3%). The mean follow-up was 1863.9 days (SD = 948.9), with 868 transitions to psychosis and a cumulative incidence of psychosis at 6 years of 2.9% (95%CI: 2.7-3.1). Compared to the urban development database, Oxford Health was characterised by a relevant case mix, lower incidence of psychosis, different distribution of baseline predictors, higher proportion of white females, and a lack of specialised clinical services for at risk individuals. Despite these differences the model retained an adequate prognostic performance (Harrell's C = 0.79, 95%CI: 0.78-0.81), with no major miscalibration. INTERPRETATION The transdiagnostic, individualised, clinically-based risk calculator is transportable outside urban healthcare providers. Further research should test transportability of this risk prediction model in an international setting.
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Affiliation(s)
- Stephen Puntis
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, United Kingdom.
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom; OASIS Service, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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Fusar-Poli P, Oliver D, Spada G, Estrade A, McGuire P. The case for improved transdiagnostic detection of first-episode psychosis: Electronic health record cohort study. Schizophr Res 2021; 228:547-554. [PMID: 33234425 DOI: 10.1016/j.schres.2020.11.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 07/30/2020] [Accepted: 11/16/2020] [Indexed: 01/03/2023]
Abstract
BACKGROUND Improving outcomes of a First Episode of Psychosis (FEP) relies on the ability to detect most individuals with emerging psychosis and treat them in specialised Early Intervention (EI) services. Efficacy of current detection strategies is undetermined. METHODS RECORD-compliant clinical, 6-year, retrospective, transdiagnostic, lifespan-inclusive, Electronic Health Record (EHR) cohort study, representing real-world secondary mental healthcare in South London and Maudsley (SLaM) NHS. All individuals accessing SLaM in the period 2007-2017 and receiving any ICD-10 diagnosis other than persistent psychosis were included. Descriptive statistics, Kaplan-Meier curves, logistic regression, epidemiological incidence of psychosis in the general population were used to address pathways to care and detection power of EI services for FEP. RESULTS A total of 106,706 individuals underwent the 6-year follow-up: they were mostly single (72.57%) males (50.51%) of white ethnicity (60.01%), aged on average 32.96 years, with an average Health Of the Nation Outcome Scale score of 11.12 and mostly affected with F40-48 Neurotic/stress-related/somatoform disorders (27.46%). Their transdiagnostic risk of developing a FEP cumulated to 0.072 (95%CI 0.067-0.077) at 6 years. Those individuals who developed a FEP (n = 1841) entered healthcare mostly (79.02%) through inpatient mental health services (29.76%), community mental health services (29.54%) or accident and emergency departments (19.50%); at the time of FEP onset, most of them (46.43%) were under the acute care pathway. Individuals contacting accident and emergency departments had an increased risk of FEP (OR 2.301, 95%CI 2.095-2.534, P < 0.001). The proportion of SLaM FEP cases that were eligible and under the care of EI services was 0.456 at any time. The epidemiological proportion of FEP cases in the sociodemographically-matched general population that was detected by EI service was 0.373. CONCLUSIONS More than half of individuals who develop a FEP remain undetected by current pathways to care and EI services. Improving detection strategies should become a mainstream area in the future generation of early psychosis research.
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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 & Neuroscience, King's College London, London, UK; OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Giulia Spada
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Andres Estrade
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Salazar de Pablo G, Estradé A, Cutroni M, Andlauer O, Fusar-Poli P. Establishing a clinical service to prevent psychosis: What, how and when? Systematic review. Transl Psychiatry 2021; 11:43. [PMID: 33441556 PMCID: PMC7807021 DOI: 10.1038/s41398-020-01165-x] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 11/27/2020] [Accepted: 12/03/2020] [Indexed: 01/29/2023] Open
Abstract
The first rate-limiting step to successfully translate prevention of psychosis in to clinical practice is to establish specialised Clinical High Risk for Psychosis (CHR-P) services. This study systematises the knowledge regarding CHR-P services and provides guidelines for translational implementation. We conducted a PRISMA/MOOSE-compliant (PROSPERO-CRD42020163640) systematic review of Web of Science to identify studies until 4/05/2020 reporting on CHR-P service configuration, outreach strategy and referrals, service user characteristics, interventions, and outcomes. Fifty-six studies (1998-2020) were included, encompassing 51 distinct CHR-P services across 15 countries and a catchment area of 17,252,666 people. Most services (80.4%) consisted of integrated multidisciplinary teams taking care of CHR-P and other patients. Outreach encompassed active (up to 97.6%) or passive (up to 63.4%) approaches: referrals came mostly (90%) from healthcare agencies. CHR-P individuals were more frequently males (57.2%). Most (70.6%) services accepted individuals aged 12-35 years, typically assessed with the CAARMS/SIPS (83.7%). Baseline comorbid mental conditions were reported in two-third (69.5%) of cases, and unemployment in one third (36.6%). Most services provided up to 2-years (72.4%), of clinical monitoring (100%), psychoeducation (81.1%), psychosocial support (73%), family interventions (73%), individual (67.6%) and group (18.9%) psychotherapy, physical health interventions (37.8%), antipsychotics (87.1%), antidepressants (74.2%), anxiolytics (51.6%), and mood stabilisers (38.7%). Outcomes were more frequently ascertained clinically (93.0%) and included: persistence of symptoms/comorbidities (67.4%), transition to psychosis (53.5%), and functional status (48.8%). We provide ten practical recommendations for implementation of CHR-P services. Health service knowledge summarised by the current study will facilitate translational efforts for implementation of CHR-P services worldwide.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Clinical and Health Psychology, Catholic University, Montevideo, Uruguay
| | - Marcello Cutroni
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Olivier Andlauer
- Heads UP Service, East London NHS Foundation Trust, London, UK
- Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK.
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Fusar-Poli P. New Electronic Health Records Screening Tools to Improve Detection of Emerging Psychosis. Front Psychiatry 2021; 12:698406. [PMID: 34335335 PMCID: PMC8316616 DOI: 10.3389/fpsyt.2021.698406] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 06/18/2021] [Indexed: 12/15/2022] Open
Affiliation(s)
- Paolo Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,OASIS Service, South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
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37
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Oliver D, Spada G, Colling C, Broadbent M, Baldwin H, Patel R, Stewart R, Stahl D, Dobson R, McGuire P, Fusar-Poli P. Real-world implementation of precision psychiatry: Transdiagnostic risk calculator for the automatic detection of individuals at-risk of psychosis. Schizophr Res 2021; 227:52-60. [PMID: 32571619 PMCID: PMC7875179 DOI: 10.1016/j.schres.2020.05.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/01/2020] [Accepted: 05/04/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Risk estimation models integrated into Electronic Health Records (EHRs) can deliver innovative approaches in psychiatry, but clinicians' endorsement and their real-world usability are unknown. This study aimed to investigate the real-world feasibility of implementing an individualised, transdiagnostic risk calculator to automatically screen EHRs and detect individuals at-risk for psychosis. METHODS Feasibility implementation study encompassing an in-vitro phase (March 2018 to May 2018) and in-vivo phase (May 2018 to April 2019). The in-vitro phase addressed implementation barriers and embedded the risk calculator (predictors: age, gender, ethnicity, index cluster diagnosis, age*gender) into the local EHR. The in-vivo phase investigated the real-world feasibility of screening individuals accessing secondary mental healthcare at the South London and Maudsley NHS Trust. The primary outcome was adherence of clinicians to automatic EHR screening, defined by the proportion of clinicians who responded to alerts from the risk calculator, over those contacted. RESULTS In-vitro phase: implementation barriers were identified/overcome with clinician and service user engagement, and the calculator was successfully integrated into the local EHR through the CogStack platform. In-vivo phase: 3722 individuals were automatically screened and 115 were detected. Clinician adherence was 74% without outreach and 85% with outreach. One-third of clinicians responded to the first email (37.1%) or phone calls (33.7%). Among those detected, cumulative risk of developing psychosis was 12% at six-month follow-up. CONCLUSION This is the first implementation study suggesting that combining precision psychiatry and EHR methods to improve detection of individuals with emerging psychosis is feasible. Future psychiatric implementation research is urgently needed.
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Affiliation(s)
- Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Giulia Spada
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Craig Colling
- National Institute for Health Research, Maudesley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Matthew Broadbent
- National Institute for Health Research, Maudesley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Helen Baldwin
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; National Institute for Health Research, Maudesley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Rashmi Patel
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Robert Stewart
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; South London and Maudsley Foundation Trust, London, United Kingdom
| | - Daniel Stahl
- Department of Biostatistics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Richard Dobson
- National Institute for Health Research, Maudesley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Institute of Health Informatics Research, University College London, London, United Kingdom; Health Data Research UK London, University College London, London, United Kingdom
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; OASIS Service, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; National Institute for Health Research, Maudesley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom; OASIS Service, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
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Oliver D, Spada G, Englund A, Chesney E, Radua J, Reichenberg A, Uher R, McGuire P, Fusar-Poli P. Real-world digital implementation of the Psychosis Polyrisk Score (PPS): A pilot feasibility study. Schizophr Res 2020; 226:176-183. [PMID: 32340785 PMCID: PMC7774585 DOI: 10.1016/j.schres.2020.04.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/08/2020] [Accepted: 04/12/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND The Psychosis Polyrisk Score (PPS) is a potential biomarker integrating non-purely genetic risk/protective factors for psychosis that may improve identification of individuals at risk and prediction of their outcomes at the individual subject level. Biomarkers that are easy to administer are direly needed in early psychosis to facilitate clinical implementation. This study digitally implements the PPS and pilots its feasibility of use in the real world. METHODS The PPS was implemented digitally and prospectively piloted across individuals referred for a CHR-P assessment (n = 16) and healthy controls (n = 66). Distribution of PPS scores was further simulated in the general population. RESULTS 98.8% of individuals referred for a CHR-P assessment and healthy controls completed the PPS assessment with only one drop-out. 96.3% of participants completed the assessment in under 15 min. Individuals referred for a CHR-P assessment had high PPS scores (mean = 6.2, SD = 7.23) than healthy controls (mean = -1.79, SD = 6.78, p < 0.001). In simulated general population data, scores were normally distributed ranging from -15 (lowest risk, RR = 0.03) to 39.5 (highest risk, RR = 8912.51). DISCUSSION The PPS is a promising biomarker which has been implemented digitally. The PPS can be easily administered to both healthy controls and individuals at potential risk for psychosis on a range of devices. It is feasible to use the PPS in real world settings to assess individuals with emerging mental disorders. The next phase of research should be to include the PPS in large-scale international cohort studies to evaluate its ability to refine the prognostication of outcomes.
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Affiliation(s)
- Dominic Oliver
- Early Psychosis: Interventions and Clinical Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom,OASIS Service, South London and the Maudsley NHS Foundation Trust, London, United Kingdom
| | - Giulia Spada
- Early Psychosis: Interventions and Clinical Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom,OASIS Service, South London and the Maudsley NHS Foundation Trust, London, United Kingdom
| | - Amir Englund
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Edward Chesney
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom,Imaging of Mood- and Anxiety-Related Disorders (IMARD), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Abraham Reichenberg
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States,Frieman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Philip McGuire
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; OASIS Service, South London and the Maudsley NHS Foundation Trust, London, United Kingdom; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
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Hasan MZ, Singh S, Arora D, Jain N, Gupta S. Evidence of integrated primary-secondary health care in low-and middle-income countries: protocol for a scoping review. Syst Rev 2020; 9:260. [PMID: 33168062 PMCID: PMC7654598 DOI: 10.1186/s13643-020-01514-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 10/27/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Integrated care is a people-centered health delivery approach that ensures the comprehensiveness, quality, and continuity of service across the settings and levels of health systems. The World Health Organization (WHO) recommends integration across levels and building-blocks of health systems as a prerequisite of Universal Health Coverage (UHC). While health systems of low- and middle-income countries (LMICs) are often fragmented and led by siloed service delivery structure, several LMICs-including India-have attempted health system integration. Several systematic reviews of evidence on healthcare integration from developed countries exist, but no synthesis from LMICs was reported to date. This review will overview the existing evidence of primary-secondary care integration (PSI) in the context of LMICs, aiming to support policy decisions for the effective integration of health delivery systems in India. METHODS The review will be conducted following the six steps recommend by Arksey and O'Malley. Scientific and grey literature will be systematically selected from PubMed, Embase, Scopus, Web of Science, Global Index Medicus, and electronic repositories (such as WHO, World Bank, Health Policy Plus, and OpenGrey). Using a comprehensive search strategy, literature written in English and published between 2000 and 2020 will be selected, and two independent authors will screen their titles and abstracts. The result will be charted using a data extraction form and reported using tables, figures, and narrative forms. DISCUSSION No ethical approval is necessary for the review. The final report will be developed with the consultation of other stakeholders and disseminated through workshops, conference papers, and peer review articles. The review will serve as a guiding tool to approach, implement, and test the PSI models in India and other LMICs. SCOPING REVIEW REGISTRATION: https://osf.io/kjhzt .
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Affiliation(s)
- Md Zabir Hasan
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Shalini Singh
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Dinesh Arora
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Nishant Jain
- Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), New Delhi, India
| | - Shivam Gupta
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
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Fusar-Poli P, Spencer T, De Micheli A, Curzi V, Nandha S, McGuire P. Outreach and support in South-London (OASIS) 2001-2020: Twenty years of early detection, prognosis and preventive care for young people at risk of psychosis. Eur Neuropsychopharmacol 2020; 39:111-122. [PMID: 32921544 PMCID: PMC7540251 DOI: 10.1016/j.euroneuro.2020.08.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 07/29/2020] [Accepted: 08/06/2020] [Indexed: 02/06/2023]
Abstract
This study aims to describe twenty years of early detection, prognosis and preventive care in the Outreach and Support In South-London (OASIS) mental health service for individuals at Clinical High risk of psychosis (CHR-P). The study presents a comprehensive analysis of the 2001- 2020 activity of the OASIS team encompassing core domains: (i) service characteristics, (ii) detection, (iii) prognosis, (iv) treatment and (v) clinical research. The analyses employed descriptive statistics, population-level data, the epidemiological incidence of psychosis, Kaplan Meier failure functions and Greenwood 95% CIs and Electronic Health Records. OASIS is part of the South London and Maudsley (SLaM) NHS trust, the largest European mental health provider, serving a total urban population of 1,358,646 individuals (population aged 16-35: 454,525). Incidence of psychosis in OASIS's catchment area ranges from 58.3 to 71.9 cases per 100,000 person-years, and it is higher than the national average of 41.5 cases per 100,000 person-year. OASIS is a standalone, NHS-funded, multidisciplinary (team leader, consultant and junior psychiatrists, clinical psychologists, mental health professionals), transitional (for those aged 14-35 years) community mental health service with a yearly caseload of 140 CHR-P individuals. OASIS regularly delivers a comprehensive service promotion outreach to several local community organisations. Referrals to OASIS (2366) are made by numerous agencies; about one-third of the referrals eventually met CHR-P criteria. Overall, 600 CHR-P individuals (55.33% males, mean age 22.63 years, white ethnicity 46.44%) have been under the care of the OASIS service: 80.43% met attenuated psychotic symptoms, 18.06% brief and limited intermittent psychotic symptoms and 1.51% genetic risk and deterioration CHR-P criteria. All CHR-P individuals were offered cognitive behavioural therapy and psychosocial support; medications were used depending on individual needs. The cumulative risk of psychosis at ten years was 0.365 (95%CI 0.302-0.437). At six years follow-up, across two-third of individuals non-transitioning to psychosis, 79.24% still displayed some mental health problem, and only 20.75% achieved a complete clinical remission. Research conducted at OASIS encompassed clinical, prognostic, neurobiological and interventional studies and leveraged local, national and international infrastructures; over the past ten years, OASIS-related research attracted about £ 50 million of grant income, with 5,922 citations in the international databases. Future developments may include broadening OASIS to prevent other serious mental disorders beyond psychosis and fostering translational risk prediction and interventional research. With a twenty-years activity, OASIS' cutting-edge quality of preventive care, combined with translational research innovations, consolidated the service as a leading reference model for evidence-based prevention of psychosis worldwide.
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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 & Neuroscience, King's College London, London, UK; OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
| | - Thomas Spencer
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Andrea De Micheli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Victoria Curzi
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Sunil Nandha
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Fusar-Poli P, De Micheli A, Patel R, Signorini L, Miah S, Spencer T, McGuire P. Real-World Clinical Outcomes Two Years After Transition to Psychosis in Individuals at Clinical High Risk: Electronic Health Record Cohort Study. Schizophr Bull 2020; 46:1114-1125. [PMID: 32303767 PMCID: PMC7505186 DOI: 10.1093/schbul/sbaa040] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The objective of this study is to describe the 2-year real-world clinical outcomes after transition to psychosis in patients at clinical high-risk. The study used the clinical electronic health record cohort study including all patients receiving a first index primary diagnosis of nonorganic International Classification of Diseases (ICD)-10 psychotic disorder within the early psychosis pathway in the South London and Maudsley (SLaM) National Health Service (NHS) Trust from 2001 to 2017. Outcomes encompassed: cumulative probability (at 3, 6, 12, and 24 months) of receiving a first (1) treatment with antipsychotic, (2) informal admission, (3) compulsory admission, and (4) treatment with clozapine and (5) numbers of days spent in hospital (at 12 and 24 months) in patients transitioning to psychosis from clinical high-risk services (Outreach and Support in south London; OASIS) compared to other first-episode groups. Analyses included logistic and 0-inflated negative binomial regressions. In the study, 1561 patients were included; those who had initially been managed by OASIS and had subsequently transitioned to a first episode of psychosis (n = 130) were more likely to receive antipsychotic medication (at 3, 6, and 24 months; all P < .023), to be admitted informally (at all timepoints, all P < .004) and on a compulsory basis (at all timepoints, all P < .013), and to have spent more time in hospital (all timepoints, all P < .007) than first-episode patients who were already psychotic when seen by the OASIS service (n = 310), or presented to early intervention services (n = 1121). The likelihood of receiving clozapine was similar across all groups (at 12/24 months, all P < .101). Transition to psychosis from a clinical high-risk state is associated with severe real-world clinical outcomes. Prevention of transition to psychosis should remain a core target of future research. The study protocol was registered on www.researchregistry.com; researchregistry5039).
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Affiliation(s)
- Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Andrea De Micheli
- Early Psychosis: Interventions and Clinical-Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Rashmi Patel
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Lorenzo Signorini
- Early Psychosis: Interventions and Clinical-Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Syed Miah
- Early Psychosis: Interventions and Clinical-Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Thomas Spencer
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Philip McGuire
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Solmi M, Della Rocca F, Cianci V, Giacometti A, Alexopulos C, Granziol U, Favaro A, Fusar-Poli P, Zoleo M, Cremonese C. Emergency department and early detection of adolescents and young adults at risk of developing mental disorders: an exploratory study. RESEARCH IN PSYCHOTHERAPY: PSYCHOPATHOLOGY, PROCESS AND OUTCOME 2020; 23:459. [PMID: 33024725 PMCID: PMC7513608 DOI: 10.4081/ripppo.2020.459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 07/03/2020] [Indexed: 01/21/2023]
Abstract
The objective of this study is to assess the potential role of Emergency Department (ED) for early detection of mental disorders. Two cohorts (6,759 subjects aged 14 to 24 accessing ED, 165 subjects with mental disorders) were matched by ID and merged. Primary outcome was the proportion of individuals accessing ED before receiving a diagnosis of mental disorder in Mental Health Service (MHS). Secondary outcomes were age of first access to ED in subjects later accessing to MHS, and time from first ED access to receiving a diagnosis of mental disorder at MHS. We assessed whether gender, severity of ED presentation, and number of ED accesses predicted primary outcome. Almost half of individuals who later developed mental disorders (49.7%) accessed ED before access to MHS. Mean age of first ED contact among those later accessing to MHS was 17.34 (2.1), and ED access preceded access to MHS by 3.68 (2.11) years. Gender and severity of ED presentation were not associated with the access to MHS, while higher number of ED accesses was associated with later access to MHS (OR range: 1.17-1.36, p<0.05). Despite its limitations, the present study suggests ED might represent a contact point for individuals who later access to MHS. Future early detection programs should involve ED in their outreach and screening approaches. Additional studies are needed to assess if subjects earlier accessing to ED are at risk-of-developing or already suffer from a mental disorder, and to validate screening instruments specifically designed for ED.
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Community mental healthcare: new developments and innovative strategies. Curr Opin Psychiatry 2020; 33:491-500. [PMID: 32639361 DOI: 10.1097/yco.0000000000000629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
PURPOSE OF REVIEW The aim of this scoping review was to identify and map the available evidence on recent innovations in community mental healthcare across the globe. RECENT FINDINGS This review highlights the different innovative approaches and strategies being currently used in the field of community mental health. Key approaches found in the reviewed studies include collaborative care with the inclusion of peer workers, growing use of e-health and telepsychiatry, improved reforms on national mental health policies and de-institutionalization, modification of outreach models and mental health promotion in the community. The studies reviewed here suggest that continued innovation and implementation of new models and strategies have the potential to reduce the burden of disease and increase the quality of life for patients with mental health issues. SUMMARY Growing body of evidence shows that integrative care is the new standard of care for people with mental illnesses, with necessity of continuity of care from emergency department to community mental health services. Social determinants of rehabilitation and recovery, and peers support remain a new main topic of research in area of treatment of people with severe mental illnesses. E-health tools are becoming prevalent in the processes of promotion, prevention and treatment in mental healthcare.
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Fusar-Poli P, Salazar de Pablo G, Correll CU, Meyer-Lindenberg A, Millan MJ, Borgwardt S, Galderisi S, Bechdolf A, Pfennig A, Kessing LV, van Amelsvoort T, Nieman DH, Domschke K, Krebs MO, Koutsouleris N, McGuire P, Do KQ, Arango C. Prevention of Psychosis: Advances in Detection, Prognosis, and Intervention. JAMA Psychiatry 2020; 77:755-765. [PMID: 32159746 DOI: 10.1001/jamapsychiatry.2019.4779] [Citation(s) in RCA: 255] [Impact Index Per Article: 63.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
IMPORTANCE Detection, prognosis, and indicated interventions in individuals at clinical high risk for psychosis (CHR-P) are key components of preventive psychiatry. OBJECTIVE To provide a comprehensive, evidence-based systematic appraisal of the advancements and limitations of detection, prognosis, and interventions for CHR-P individuals and to formulate updated recommendations. EVIDENCE REVIEW Web of Science, Cochrane Central Register of Reviews, and Ovid/PsychINFO were searched for articles published from January 1, 2013, to June 30, 2019, to identify meta-analyses conducted in CHR-P individuals. MEDLINE was used to search the reference lists of retrieved articles. Data obtained from each article included first author, year of publication, topic investigated, type of publication, study design and number, sample size of CHR-P population and comparison group, type of comparison group, age and sex of CHR-P individuals, type of prognostic assessment, interventions, quality assessment (using AMSTAR [Assessing the Methodological Quality of Systematic Reviews]), and key findings with their effect sizes. FINDINGS In total, 42 meta-analyses published in the past 6 years and encompassing 81 outcomes were included. For the detection component, CHR-P individuals were young (mean [SD] age, 20.6 [3.2] years), were more frequently male (58%), and predominantly presented with attenuated psychotic symptoms lasting for more than 1 year before their presentation at specialized services. CHR-P individuals accumulated several sociodemographic risk factors compared with control participants. Substance use (33% tobacco use and 27% cannabis use), comorbid mental disorders (41% with depressive disorders and 15% with anxiety disorders), suicidal ideation (66%), and self-harm (49%) were also frequently seen in CHR-P individuals. CHR-P individuals showed impairments in work (Cohen d = 0.57) or educational functioning (Cohen d = 0.21), social functioning (Cohen d = 1.25), and quality of life (Cohen d = 1.75). Several neurobiological and neurocognitive alterations were confirmed in this study. For the prognosis component, the prognostic accuracy of CHR-P instruments was good, provided they were used in clinical samples. Overall, risk of psychosis was 22% at 3 years, and the risk was the highest in the brief and limited intermittent psychotic symptoms subgroup (38%). Baseline severity of attenuated psychotic (Cohen d = 0.35) and negative symptoms (Cohen d = 0.39) as well as low functioning (Cohen d = 0.29) were associated with an increased risk of psychosis. Controlling risk enrichment and implementing sequential risk assessments can optimize prognostic accuracy. For the intervention component, no robust evidence yet exists to favor any indicated intervention over another (including needs-based interventions and control conditions) for preventing psychosis or ameliorating any other outcome in CHR-P individuals. However, because the uncertainty of this evidence is high, needs-based and psychological interventions should still be offered. CONCLUSIONS AND RELEVANCE This review confirmed recent substantial advancements in the detection and prognosis of CHR-P individuals while suggesting that effective indicated interventions need to be identified. This evidence suggests a need for specialized services to detect CHR-P individuals in primary and secondary care settings, to formulate a prognosis with validated psychometric instruments, and to offer needs-based and psychological interventions.
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Affiliation(s)
- Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom.,OASIS Service, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom.,Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Universidad Complutense, Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Christoph U Correll
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, New York.,The Feinstein Institute for Medical Research, Center for Psychiatric Neuroscience, Manhasset, New York.,Charité Universitätsmedizin Berlin, Department of Child and Adolescent Psychiatry, Berlin, Germany.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Mark J Millan
- Centre for Therapeutic Innovation in Neuropsychiatry, Institut de Recherche Servier, Croissy sur Seine, Paris, France
| | - Stefan Borgwardt
- Department of Psychiatry, University of Basel, Basel, Switzerland.,Department of Psychiatry, Psychosomatics and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania L. Vanvitelli, Naples, Italy
| | - Andreas Bechdolf
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine with Early Intervention and Recognition Centre, Vivantes Klinikum Am Urban, Charité-Universitätsmedizin, Berlin, Germany.,Vivantes Klinikum im Friedrichshain, Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Charité-Universitätsmedizin, Berlin, Germany.,Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany.,Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medical Faculty, Technische Universität Dresden, Dresden, Germany
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center, Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University Medical Center School for Mental Health and Neuroscience, Maastricht, the Netherlands
| | - Dorien H Nieman
- Amsterdam University Medical Centers, Academic Medical Center, Department of Psychiatry, Amsterdam, the Netherlands
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center for Basics in NeuroModulation (NeuroModul), Medical Faculty, University of Freiburg, Germany
| | - Marie-Odile Krebs
- INSERM, IPNP UMR S1266, Laboratoire de Physiopathologie des Maladies Psychiatriques, Université Paris Descartes, Université de Paris, CNRS, GDR3557-Institut de Psychiatrie, Paris, France.,Faculté de Médecine Paris Descartes, GHU Paris-Sainte-Anne, Service Hospitalo-Universitaire, Paris, France
| | - Nikolaos Koutsouleris
- University Hospital, Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Munich, Germany.,Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom
| | - Philip McGuire
- Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London, United Kingdom.,Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom
| | - Kim Q Do
- Center for Psychiatric Neuroscience, Lausanne University Hospital, Lausanne-Prilly, Switzerland
| | - Celso Arango
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Universidad Complutense, Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
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Solmi M, Campeol M, Gentili F, Favaro A, Cremonese C. Clinical presentation and need for treatment of a cohort of subjects accessing to a mental illness prevention service. RESEARCH IN PSYCHOTHERAPY 2020; 23:434. [PMID: 32913825 PMCID: PMC7451370 DOI: 10.4081/ripppo.2020.434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 03/04/2020] [Indexed: 11/23/2022]
Abstract
Outreaching activities decrease prognostic accuracy of at-risk mental state defining tools, over-attracting subjects who are not at increased risk of mental illness. The setting was a mental illness primary indicated prevention outpatients service embedded within the Psychiatry Unit of Padua University Hospital, Italy. Help-seeking patients accessing the service between January 2018 and December 2018 were evaluated with validated tools assessing functioning, at-risk mental state, schizotypal personality features, depressive and anxious symptoms, together with medical and family history collection. The primary outcome was the prevalence of drop in functioning at presentation according to the Social and Occupational Functioning Assessment Scale (SOFAS). Secondary outcomes were diagnoses according to DSM-5 criteria and meeting criteria for at-risk mental state. Fifty-nine patients accessed the service, mean age was 18.8 (2.12) years old, 54.2% were females. Virtually all subjects (97.7%) had a drop in functioning. Baseline primary diagnoses were depressive episode in 33%, anxiety disorder in 21%, personality disorder in 17%, adjustment disorder 9%, conduct disorder 7%, schizophrenia spectrum disorder 5%, bipolar disorder 5%, eating disorder in 1.7%, dissociative disorder 1.7%. Overall, 59.1% met at-risk mental state criteria. Lower functioning was associated with anxious symptoms (p=0.031), a family history of mental illness (p=0.045) and of suicide (p=0.042), and schizotypal personality traits (p=0.036). Subjects accessing a prevention service embedded within the mental health department already present a trans-diagnostic drop in functioning, mainly due to a non-psychotic mental disorder, with at-risk mental state in one patient out of two, and schizophrenia or bipolar disorder already present in only 10% of subjects. Prevention service within mental health facility setting appears to properly detect subjects in need of treatment with a drop in functioning, at risk of developing severe mental illness, without any outreaching activity in the general population.
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Affiliation(s)
- Marco Solmi
- Neurosciences Department, University of Padua.,Neuroscience Center, University of Padua.,Padua University Hospital, Psychiatry Unit, Padua, Italy
| | - Mara Campeol
- Neurosciences Department, University of Padua.,Padua University Hospital, Psychiatry Unit, Padua, Italy
| | | | - Angela Favaro
- Neurosciences Department, University of Padua.,Neuroscience Center, University of Padua.,Padua University Hospital, Psychiatry Unit, Padua, Italy
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Wang T, Oliver D, Msosa Y, Colling C, Spada G, Roguski Ł, Folarin A, Stewart R, Roberts A, Dobson RJB, Fusar-Poli P. Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack. J Vis Exp 2020:10.3791/60794. [PMID: 32478737 PMCID: PMC7272223 DOI: 10.3791/60794] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Recent studies have shown that an automated, lifespan-inclusive, transdiagnostic, and clinically based, individualized risk calculator provides a powerful system for supporting the early detection of individuals at-risk of psychosis at a large scale, by leveraging electronic health records (EHRs). This risk calculator has been externally validated twice and is undergoing feasibility testing for clinical implementation. Integration of this risk calculator in clinical routine should be facilitated by prospective feasibility studies, which are required to address pragmatic challenges, such as missing data, and the usability of this risk calculator in a real-world and routine clinical setting. Here, we present an approach for a prospective implementation of a real-time psychosis risk detection and alerting service in a real-world EHR system. This method leverages the CogStack platform, which is an open-source, lightweight, and distributed information retrieval and text extraction system. The CogStack platform incorporates a set of services that allow for full-text search of clinical data, lifespan-inclusive, real-time calculation of psychosis risk, early risk-alerting to clinicians, and the visual monitoring of patients over time. Our method includes: 1) ingestion and synchronization of data from multiple sources into the CogStack platform, 2) implementation of a risk calculator, whose algorithm was previously developed and validated, for timely computation of a patient's risk of psychosis, 3) creation of interactive visualizations and dashboards to monitor patients' health status over time, and 4) building automated alerting systems to ensure that clinicians are notified of patients at-risk, so that appropriate actions can be pursued. This is the first ever study that has developed and implemented a similar detection and alerting system in clinical routine for early detection of psychosis.
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Affiliation(s)
- Tao Wang
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London;
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Yamiko Msosa
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London
| | - Craig Colling
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust
| | - Giulia Spada
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Łukasz Roguski
- Institute of Health Informatics, University College London
| | - Amos Folarin
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London
| | - Robert Stewart
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London
| | - Angus Roberts
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London; National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust
| | - Richard J B Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London; National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust; Institute of Health Informatics, University College London; Health Data Research UK London, University College London
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London; National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust; OASIS service, South London and Maudsley National Health Service (NHS) Foundation Trust; Department of Brain and Behavioral Sciences, University of Pavia
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Affiliation(s)
- René S Kahn
- Department of Psychiatry and Behavioral Health System, Icahn School of Medicine at Mount Sinai, N.Y.; and VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters VA Medical Center, Bronx, N.Y
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Raket LL, Jaskolowski J, Kinon BJ, Brasen JC, Jönsson L, Wehnert A, Fusar-Poli P. Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study. LANCET DIGITAL HEALTH 2020; 2:e229-e239. [PMID: 33328055 DOI: 10.1016/s2589-7500(20)30024-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 02/05/2020] [Accepted: 02/11/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Many individuals who will experience a first episode of psychosis (FEP) are not detected before occurrence, limiting the effect of preventive interventions. The combination of machine-learning methods and electronic health records (EHRs) could help address this gap. METHODS This case-control development and validation study is based on EHR data from IBM Explorys. The IBM Explorys Platform holds standardised, longitudinal, de-identified, patient-level EHR data pooled from different health-care systems with distinct EHRs. The present EHR-based studies were retrospective, matched (1:1), case-control studies compliant with RECORD, STROBE, and TRIPOD statements. The study included individuals in the IBM Explorys database who at some point between 1990 and 2018 had a diagnosis of FEP followed by schizophrenia, and psychosis-free matched control individuals from a random subsample of the full cohort. For every individual in the FEP cohort, the individual in the control cohort was matched to have a similar date for inclusion in the database and a similar total observation time. Individuals in the FEP cohort had their index date defined as the first diagnosis of psychosis or the first prescription of antipsychotic medication. Individuals in the control cohort had their index date defined to occur the same number of days after inclusion in the database as their matching FEP individual. The FEP and control cohorts were both randomly split into development and validation datasets in a ratio of 7:3. The subset of individuals in the validation dataset who had all their health-care encounters at providers that were not seen in the development dataset made up the external validation subset. A novel recurrent neural network model was developed to predict the risk of FEP 1 year before the index date by employing demographics and medical events (in the categories diagnoses, prescriptions, procedures, encounters and admissions, observations, and laboratory test results) dynamically collected in the EHR as part of clinical routine. We named the recurrent neural network Dynamic ElecTronic hEalth reCord deTection (DETECT). The main outcomes were accuracy and area under receiver operating characteristic curve (AUROC). Decision-curve analyses and dynamic patient journey plots were used to evaluate clinical usefulness. FINDINGS The FEP and control cohorts each comprised 72 860 individuals. 102 030 individuals (51 015 matching pairs) were randomly allocated to the development dataset and the remaining 43 690 to the validation dataset. In the validation dataset, 4770 individuals had all their encounters outside of the 118 790 health-care providers that were encountered in the development dataset. The data from these individuals made up the external validation subset. The median follow-up (observation time before index date) was 6·0 years (IQR 3·0-10·4). In the development dataset, DETECT's prognostic accuracy was 0·787 and AUROC was 0·868. In the validation dataset, DETECT's prognostic accuracy was 0·774 and AUROC was 0·856. In the external test subset, DETECT's balanced prognostic accuracy was 0·724 and AUROC was 0·799. Prevalence-adjusted decision-curve analyses suggested that DETECT was associated with a positive net benefit in two different scenarios for FEP detection. INTERPRETATION DETECT showed adequate prognostic accuracy to detect individuals at risk of developing a FEP in primary and secondary care. Replication and refinement in a population-based setting are needed to consolidate these findings. FUNDING Lundbeck.
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Affiliation(s)
- Lars Lau Raket
- Lundbeck, Valby, Denmark; Clinical Memory Research Unit, Lund University, Lund, Sweden.
| | | | | | | | - Linus Jönsson
- Lundbeck, Valby, Denmark; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | | | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; OASIS, South London and Maudsley NHS Foundation Trust, London, UK; National Institute for Health Research Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK; South London and Maudsley NHS Foundation Trust, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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Unmet needs for treatment in 102 individuals with brief and limited intermittent psychotic symptoms (BLIPS): implications for current clinical recommendations. Epidemiol Psychiatr Sci 2019; 29:e67. [PMID: 31739812 PMCID: PMC8061208 DOI: 10.1017/s2045796019000635] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
AIMS To investigate clinical outcomes and unmet needs in individuals at Clinical High Risk for Psychosis presenting with Brief and Limited Intermittent Psychotic Symptoms (BLIPS). METHODS Prospective naturalistic long-term (up to 9 years) cohort study in individuals meeting BLIPS criteria at the Outreach And Support In South-London (OASIS) up to April 2016. Baseline sociodemographic and clinical characteristics, specific BLIPS features, preventive treatments received and clinical outcomes (psychotic and non-psychotic) were measured. Analyses included Kaplan Meier survival estimates and Cox regression methods. RESULTS One hundred and two BLIPS individuals were followed up to 9 years. Across BLIPS cases, 35% had an abrupt onset; 32% were associated with acute stress, 45% with lifetime trauma and 20% with concurrent illicit substance use. The vast majority (80%) of BLIPS individuals, despite being systematically offered cognitive behavioural therapy for psychosis, did not fully engage with it and did not receive the minimum effective dose. Only 3% of BLIPS individuals received the appropriate dose of cognitive behavioural therapy. At 4-year follow-up, 52% of the BLIPS individuals developed a psychotic disorder, 34% were admitted to hospital and 16% received a compulsory admission. At 3-year follow-up, 52% of them received an antipsychotic treatment; at 4-year follow-up, 26% of them received an antidepressant treatment. The presence of seriously disorganising and dangerous features was a strong poor prognostic factor. CONCLUSIONS BLIPS individuals display severe clinical outcomes beyond their very high risk of developing psychosis and show poor compliance with preventive cognitive behavioural therapy. BLIPS individuals have severe needs for treatment that are not met by current preventive strategies.
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