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Bargagli AM, Cascini S, Forastiere A, Calandrini E, Cesaroni G, Marino C, Davoli M, Agabiti N. Prevalence of schizophrenia spectrum disorders in the Lazio region, Italy: use of an algorithm based on health administrative databases. BMC Psychiatry 2024; 24:706. [PMID: 39425057 PMCID: PMC11490190 DOI: 10.1186/s12888-024-06151-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 10/07/2024] [Indexed: 10/21/2024] Open
Abstract
BACKGROUND Mental healthcare provision is undergoing substantial reconfiguration in many regions of the world. Such changes require a broad, evidence-based approach incorporating epidemiological data and information on local needs. The objective of this study was to estimate the prevalence of schizophrenia spectrum disorders (SSD) in the Lazio region and its geographical distribution using regional administrative healthcare databases. METHODS Cases of SSD (15-64 years old) were identified using an algorithm based on data from the hospital discharge registry (ICD IX CM: 295, 297, 298 [excl. 298.0], 299) and the ticket exemption database [code 044], between 2006 and 2019. We calculated crude, age- and gender-specific prevalence estimates on December 31, 2019. We also calculated age- and gender-adjusted prevalence to compare prevalence in different regional areas. RESULTS We identified 18,371 cases. The overall prevalence was 5.03 per 1000 population (95% CI 4.96-5.10). Age-adjusted prevalence estimates were 4.18 (95% CI 4.09-4.27) per 1000 for women and 5.92 (95% CI 5.81-6.04) per 1000 for men. The prevalence was higher among older age groups, in both genders. There were differences in prevalence within the region, ranging from 4.25/1000 in the province of Viterbo to 5.42/1000 in Rome and 6.02/1000 in the province of Frosinone. When we analysed the subcategories of SSD, the three most frequent conditions were schizophrenia, schizoaffective disorder, and psychosis NOS. In general, the prevalence was higher in men for all the conditions but delusional disorders and brief psychosis. CONCLUSIONS Our results show that the overall prevalence of SSD among adults in the Lazio region is similar to those published in previous reviews, but an uneven regional distribution was observed. While possible underestimation must be considered, administrative databases represent a valuable source of information for epidemiological surveillance and healthcare planning.
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Affiliation(s)
- Anna Maria Bargagli
- Department of Epidemiology of the Regional Health Service - Lazio Region, ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy
| | - Silvia Cascini
- Department of Epidemiology of the Regional Health Service - Lazio Region, ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy.
| | | | - Enrico Calandrini
- Department of Epidemiology of the Regional Health Service - Lazio Region, ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy
| | - Giulia Cesaroni
- Department of Epidemiology of the Regional Health Service - Lazio Region, ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy
| | - Claudia Marino
- Department of Epidemiology of the Regional Health Service - Lazio Region, ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy
| | - Marina Davoli
- Department of Epidemiology of the Regional Health Service - Lazio Region, ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy
| | - Nera Agabiti
- Department of Epidemiology of the Regional Health Service - Lazio Region, ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy
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Arslan B, Kizilay E, Verim B, Demirlek C, Demir M, Cesim E, Eyuboglu MS, Ozbek SU, Sut E, Yalincetin B, Bora E. Computational analysis of linguistic features in speech samples of first-episode bipolar disorder and psychosis. J Affect Disord 2024; 363:340-347. [PMID: 39029695 DOI: 10.1016/j.jad.2024.07.102] [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: 03/15/2024] [Revised: 05/25/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND In recent years, automated analyses using novel NLP methods have been used to investigate language abnormalities in schizophrenia. In contrast, only a few studies used automated language analyses in bipolar disorder. To our knowledge, no previous research compared automated language characteristics of first-episode psychosis (FEP) and bipolar disorder (FEBD) using NLP methods. METHODS Our study included 53 FEP, 40 FEBD and 50 healthy control participants who are native Turkish speakers. Speech samples of the participants in the Thematic Apperception Test (TAT) underwent automated generic and part-of-speech analyses, as well as sentence-level semantic similarity analysis based on SBERT. RESULTS Both FEBD and FEP were associated with the use of shorter sentences and increased sentence-level semantic similarity but less semantic alignment with the TAT pictures. FEP also demonstrated reduced verbosity and syntactic complexity. FEP differed from FEBD in reduced verbosity, decreased first-person singular pronouns, fewer conjunctions, increased semantic similarity as well as shorter sentence and word length. The mean classification accuracy was 82.45 % in FEP vs HC, 71.1 % in FEBD vs HC, and 73 % in FEP vs FEBD. After Bonferroni correction, the severity of negative symptoms in FEP was associated with reduced verbal output and increased 5th percentile of semantic similarity. LIMITATIONS The main limitation of this study was the cross-sectional nature. CONCLUSION Our findings demonstrate that both patient groups showed language abnormalities, which were more severe and widespread in FEP compared to FEBD. Our results suggest that NLP methods reveal transdiagnostic linguistic abnormalities in FEP and FEBD.
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Affiliation(s)
- Berat Arslan
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey.
| | - Elif Kizilay
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - Burcu Verim
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - Cemal Demirlek
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Muhammed Demir
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - Ezgi Cesim
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - Merve S Eyuboglu
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - Simge Uzman Ozbek
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Ekin Sut
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Berna Yalincetin
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - Emre Bora
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia
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Knížková K, Keřková B, Večeřová M, Šustová P, Jonáš J, Siroňová A, Hrubý A, Rodriguez M. Longitudinal course of core cognitive domains in first-episode acute and transient psychotic disorders compared with schizophrenia. Schizophr Res Cogn 2024; 37:100311. [PMID: 38601889 PMCID: PMC11004639 DOI: 10.1016/j.scog.2024.100311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 04/03/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024]
Abstract
Acute and transient psychotic disorder (ATPD) is characterized by acute onset of psychotic symptoms and early recovery. Contrastingly, schizophrenia (SZ) is a chronic mental disorder characterized by impaired functioning including a deficit in cognition. In SZ, the cognitive deficit is among the core symptoms, but in ATPDs, the existing evidence brings mixed results. Our primary aim was to compare three core cognitive domains (executive functioning/abstraction, speed of processing and working memory) of patients diagnosed with ATPD and SZ over a 12-month period. Moreover, we explored how these diagnostic subgroups differed in their clinical characteristics. We recruited 39 patients with a diagnosis of SZ and 31 with ATPD with schizophrenic symptoms. All patients completed clinical and neuropsychological assessments. At baseline, we used a one-way ANCOVA model with a group as the between-subjects factor. Mixed-model repeated-measures ANOVAs with time as the within-subjects factor and group as the between-subjects factor were run to test the overtime differences. At baseline, we did not find any differences in cognition - with sex, education and age as covariates - between ATPDs and SZ. After one year, all patients showed an improvement in all three domains, however, there were no significant overtime changes between ATPDs and SZ. Regarding clinical profiles, ATPDs demonstrated less severe psychopathology and better functioning compared to SZ both at baseline and after 12 months. The medication dosage differed at retest, but not at baseline between the groups. Our findings suggest clinical differences and a similar trajectory of cognitive performance between these diagnostic subgroups.
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Affiliation(s)
- Karolína Knížková
- National Institute of Mental Health, Klecany, Czech Republic
- Department of Psychiatry, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
| | - Barbora Keřková
- National Institute of Mental Health, Klecany, Czech Republic
| | - Monika Večeřová
- National Institute of Mental Health, Klecany, Czech Republic
| | - Petra Šustová
- National Institute of Mental Health, Klecany, Czech Republic
- Department of Psychology, Faculty of Arts, Charles University in Prague, Czech Republic
| | - Juraj Jonáš
- National Institute of Mental Health, Klecany, Czech Republic
- Department of Psychology, Faculty of Arts, Charles University in Prague, Czech Republic
| | - Aneta Siroňová
- National Institute of Mental Health, Klecany, Czech Republic
- Department of Psychology, Faculty of Social Studies, Masaryk University, Brno, Czech Republic
| | - Aleš Hrubý
- National Institute of Mental Health, Klecany, Czech Republic
| | - Mabel Rodriguez
- National Institute of Mental Health, Klecany, Czech Republic
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Kämpe A, Suvisaari J, Lähteenvuo M, Singh T, Ahola-Olli A, Urpa L, Haaki W, Hietala J, Isometsä E, Jukuri T, Kampman O, Kieseppä T, Lahdensuo K, Lönnqvist J, Männynsalo T, Paunio T, Niemi-Pynttäri J, Suokas K, Tuulio-Henriksson A, Veijola J, Wegelius A, Daly M, Taylor J, Kendler KS, Palotie A, Pietiläinen O. Genetic contribution to disease-course severity and progression in the SUPER-Finland study, a cohort of 10,403 individuals with psychotic disorders. Mol Psychiatry 2024; 29:2733-2741. [PMID: 38556557 PMCID: PMC11420086 DOI: 10.1038/s41380-024-02516-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 02/28/2024] [Accepted: 03/04/2024] [Indexed: 04/02/2024]
Abstract
Genetic factors contribute to the susceptibility of psychotic disorders, but less is known how they affect psychotic disease-course development. Utilizing polygenic scores (PGSs) in combination with longitudinal healthcare data with decades of follow-up we investigated the contributing genetics to psychotic disease-course severity and diagnostic shifts in the SUPER-Finland study, encompassing 10 403 genotyped individuals with a psychotic disorder. To longitudinally track the study participants' past disease-course severity, we created a psychiatric hospitalization burden metric using the full-coverage and nation-wide Finnish in-hospital registry (data from 1969 and onwards). Using a hierarchical model, ranking the psychotic diagnoses according to clinical severity, we show that high schizophrenia PGS (SZ-PGS) was associated with progression from lower ranked psychotic disorders to schizophrenia (OR = 1.32 [1.23-1.43], p = 1.26e-12). This development manifested already at psychotic illness onset as a higher psychiatric hospitalization burden, the proxy for disease-course severity. In schizophrenia (n = 5 479), both a high SZ-PGS and a low educational attainment PGS (EA-PGS) were associated with increased psychiatric hospitalization burden (p = 1.00e-04 and p = 4.53e-10). The SZ-PGS and the EA-PGS associated with distinct patterns of hospital usage. In individuals with high SZ-PGS, the increased hospitalization burden was composed of longer individual hospital stays, while low EA-PGS associated with shorter but more frequent hospital visits. The negative effect of a low EA-PGS was found to be partly mediated via substance use disorder, a major risk factor for hospitalizations. In conclusion, we show that high SZ-PGS and low EA-PGS both impacted psychotic disease-course development negatively but resulted in different disease-course trajectories.
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Affiliation(s)
- Anders Kämpe
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
- Department of Molecular Medicine and surgery (MMK), Karolinska Institutet, Stockholm, Sweden.
| | - Jaana Suvisaari
- National Institute for Health and Welfare, Department of Mental Health and Substance Abuse Services, Helsinki, Finland
| | - Markku Lähteenvuo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Forensic Psychiatry, University of Eastern Finland School of Medicine, Niuvanniemi hospital, Kuopio, Finland
| | - Tarjinder Singh
- Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Massachusetts General Hospital, Analytic and Translational Genetics Unit, Boston, MA, USA
| | - Ari Ahola-Olli
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Lea Urpa
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Willehard Haaki
- Department of Psychiatry, University of Turku, Turku, Finland
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, Turku, Finland
| | - Erkki Isometsä
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tuomas Jukuri
- Department of Psychiatry, Oulu University Hospital, Oulu, Finland
| | - Olli Kampman
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Psychiatry, The Wellbeing Services County of Ostrobothnia, Ostrobothnia, Finland
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Department of Clinical Medicine (Psychiatry), Faculty of Medicine, University of Turku, Turku, Finland
| | - Tuula Kieseppä
- Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | | | - Jouko Lönnqvist
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Teemu Männynsalo
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tiina Paunio
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- SleepWell Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jussi Niemi-Pynttäri
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Kimmo Suokas
- Tampere University, Tampere, Finland
- Department of Psychiatry, Tampere University Hospital, Tampere, Finland
| | | | - Juha Veijola
- Department of Psychiatry, Oulu University Hospital, Oulu, Finland
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
| | - Asko Wegelius
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Mark Daly
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Massachusetts General Hospital, Analytic and Translational Genetics Unit, Boston, MA, USA
- Broad Institute Harvard, Program in Medical and Population Genetics, Cambridge, MA, USA
| | - Jacob Taylor
- Harvard Medical School, Department of Medicine, Boston, USA
| | - Kenneth S Kendler
- Virginia Institute of Psychiatric and Behavioral Genetics, Richmond, VA, USA
- Medical College of Virginia/Virginia Commonwealth University, Department of Psychiatry, Richmond, VA, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA, USA
| | - Olli Pietiläinen
- Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
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Pitigala N, Zeng I, Narayanan N, Cullum S, Ng L. Tracking the 3-year trajectory of referrals to an early psychosis intervention service. Australas Psychiatry 2024; 32:336-341. [PMID: 38722057 PMCID: PMC11318223 DOI: 10.1177/10398562241251999] [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] [Indexed: 08/13/2024]
Abstract
AIM To review the baseline and clinical characteristics of patients referred to a New Zealand Early Psychosis Intervention (EPI) service across a 4-year timeframe. METHOD We compared two cohorts, and identified variables associated with being accepted or declined, and reasons for decline, by an EPI service between 2013 and 2017. RESULTS There were 576 people with suspected psychosis referred to the EPI service for assessment: 300 (52%) were accepted, 221 (38%) declined and 55 (10%) were not processed. Reasons for being declined by EPI services were a long duration of psychosis (DUP, 48%) and no evidence of psychosis (47%). There were no significant differences between the accepted and declined group in Emergency Department presentations for self-harm or suicide attempts and acute admissions to a psychiatric inpatient unit over the 3-year follow-up period. CONCLUSION To optimise the identification of true positive cases, EPI services require clear entry criteria. Replicating this study in other EPI services with different entry criteria may provide evidence to develop a more uniform screening process. Improved outcomes may be enhanced by measuring effectiveness and liaising with other EPI services.
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Affiliation(s)
| | - Irene Zeng
- Auckland University of Technology, Auckland, New Zealand
| | | | - Sarah Cullum
- Health New Zealand Te Whatu Ora Counties Manukau, Auckland, New Zealand; The University of Auckland, Auckland, New Zealand; Counties Manukau Health, Auckland, New Zealand
| | - Lillian Ng
- Health New Zealand Te Whatu Ora Counties Manukau, Auckland, New Zealand; The University of Auckland, Auckland, New Zealand; Counties Manukau Health, Auckland, New Zealand
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Kennedy L, Holt T, Hunter A, Golshan S, Cadenhead K, Mirzakhanian H. Development of an anti-inflammatory diet for first-episode psychosis (FEP): a feasibility study protocol. Front Nutr 2024; 11:1397544. [PMID: 39131737 PMCID: PMC11310932 DOI: 10.3389/fnut.2024.1397544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 06/17/2024] [Indexed: 08/13/2024] Open
Abstract
Background Evidence suggests inflammation plays a role in the pathophysiology of psychosis even in early illness, indicating a potential avenue for anti-inflammatory interventions that simultaneously address high rates of metabolic disease in this population. The aim of this study is to design a novel anti-inflammatory diet intervention (DI) that is feasible to implement in a first-episode psychosis (FEP) population. Methods Eligible FEP Participants are aged 15-30. The DI is currently being refined through a multi-phase process that includes the recruitment of focus groups that provide insight into feasibility of measures and nutritional education, as well as the implementation of the DI. The phases in the study are the Development Phase, Formative Phase, and the Feasibility Phase. Results The Development phase has resulted in the creation of a flexible DI for FEP based on existing research on nutritional health and informed by providers. This study has just completed the Formative phase, recruiting eligible participants to join focus groups that gleaned information about dietary habits, preferences, and food environments to further refine the DI. Conclusion Findings from earlier phases have advised the current Feasibility Phase in which this novel DI is being administered to a small cohort of FEP participants (N = 12) to determine acceptability of the DI from a lived experience perspective. Naturalistic changes in inflammatory biomarkers, metabolic health, and symptoms will also be measured.
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Affiliation(s)
- Leda Kennedy
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, United States
| | - Tiffany Holt
- Center for Integrative Medicine, University of California San Diego, La Jolla, San Diego, CA, United States
| | - Anna Hunter
- Center for Integrative Medicine, University of California San Diego, La Jolla, San Diego, CA, United States
| | - Shahrokh Golshan
- Center for Integrative Medicine, University of California San Diego, La Jolla, San Diego, CA, United States
| | - Kristin Cadenhead
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, United States
| | - Heline Mirzakhanian
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, United States
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Pelizza L, Leuci E, Quattrone E, Azzali S, Pupo S, Paulillo G, Pellegrini P, Menchetti M. Short-term disengagement from early intervention service for first-episode psychosis: findings from the "Parma Early Psychosis" program. Soc Psychiatry Psychiatr Epidemiol 2024; 59:1201-1213. [PMID: 37831081 PMCID: PMC11178576 DOI: 10.1007/s00127-023-02564-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/28/2023] [Indexed: 10/14/2023]
Abstract
PURPOSE Service disengagement is a major concern for "Early Intervention in Psychosis" (EIP). Indeed, identifying predictors of engagement is crucial to maximize mental healthcare interventions in first-episode psychosis (FEP). No Italian study on this topic has been reported to date. Thus, the aims of this investigation were: (1) to examine short-term disengagement rate in an Italian population of FEP patients treated within an EIP service across a 1-year follow-up period, and (b) to assess the most relevant predictors of disengagement in the first year of treatment. METHODS All participants were young FEP help-seeking patients, aged 12-35 years, enrolled within the "Parma Early Psychosis" (Pr-EP) protocol. At baseline, they completed the Positive And Negative Syndrome Scale (PANSS), the Health of the Nation Outcome Scale (HoNOS) and the Global Assessment of Functioning (GAF) scale. Univariate and multivariate Cox regression analyses were used. RESULTS 496 FEP individuals were enrolled in this research. Across the follow-up, a 16.5% prevalence of short-term disengagement was found. Particularly robust predictors of service disengagement were poor baseline treatment non-adherence, living with parents and the presence of brief psychotic disorder or schizophreniform disorder at entry. CONCLUSION About 16% of FEP patients disengaged the Pr-EP program within the first year of treatment. A solution to reduce disengagement and/or to favor re-engagement of these subjects might be to remain on EIP program caseloads allowing the option for low-intensity support and monitoring, also via remote technology.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Biomedical and Neuromotor Sciences, "Alma Mater Studiorum", Università di Bologna, Viale Pepoli, 5, 40126, Bologna, BO, Italy.
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy.
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, RE, Italy
| | - Simona Pupo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, Parma, PR, Italy
| | - Giuseppina Paulillo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, Parma, PR, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, "Alma Mater Studiorum", Università di Bologna, Viale Pepoli, 5, 40126, Bologna, BO, Italy
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Pelizza L, Plazzi E, Leuci E, Leucci AC, Quattrone E, Azzali S, Pupo S, Paulillo G, Pellegrini P, Menchetti M. Diagnostic shift in adolescents with first episode psychosis: findings from the 2-year follow-up of the "Parma Early Psychosis" program. Soc Psychiatry Psychiatr Epidemiol 2024:10.1007/s00127-024-02721-2. [PMID: 38951155 DOI: 10.1007/s00127-024-02721-2] [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: 10/07/2023] [Accepted: 06/24/2024] [Indexed: 07/03/2024]
Abstract
PURPOSE Diagnostic stability for people with First Episode Psychosis (FEP) is essential for treatment, but it remains poorly investigated, especially in adolescents and within a prospective design. The aims of this research were: (a) to examine diagnostic change in Italian adolescents with FEP treated within an "Early Intervention in Psychosis" program during a 2-year follow-up period and (b) to investigate any sociodemographic and clinical predictors at baseline. METHODS At baseline, 66 adolescents with FEP was recruited. Their primary diagnosis was formulated both at baseline and at the end of follow-up. At presentation, FEP adolescents completed the Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA). As for diagnostic stability, the Kappa statistic was calculated. The associations of diagnostic change with baseline clinical and sociodemographic features were analyzed using a logistic model with the diagnostic shift as dependent variable. A propensity score was finally calculated based on logistic analysis results. RESULTS 38 (57.6%) FEP adolescents changed their opening diagnosis. The highest prospective diagnostic stability was for initial diagnosis of schizophrenia (95.4%) and affective spectrum psychoses (75%). Diagnostic instability was high for opening diagnosis of psychosis not otherwise specified, brief psychosis and schizophreniform disorder (100%). The best predictors of diagnostic change were fewer years of education, shorter duration of untreated psychosis and higher baseline levels of psychiatric symptoms. CONCLUSION Diagnostic stability is crucial for treatment and clinical decision making. Addressing instability in FEP diagnoses is an important challenge for future diagnostic development in early psychosis, especially in adolescence.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum Università di Bologna, viale Pepoli 5, Bologna (BO), 40123, Italy.
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, Parma (PR), 43100, Italy.
| | - Enrico Plazzi
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum Università di Bologna, viale Pepoli 5, Bologna (BO), 40123, Italy
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, Parma (PR), 43100, Italy
| | - Anna Caterina Leucci
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum Università di Bologna, viale Pepoli 5, Bologna (BO), 40123, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, Parma (PR), 43100, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addictions, Azienda USL-IRCCS di Reggio Emilia, viale Amendola 2, Reggio Emilia (RE), 42100, Italy
| | - Simona Pupo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, viale Gramsci 14, Parma (PR), 43100, Italy
| | - Giuseppina Paulillo
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, Parma (PR), 43100, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addictions, Azienda USL di Parma, largo Palli 1/a, Parma (PR), 43100, Italy
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum Università di Bologna, viale Pepoli 5, Bologna (BO), 40123, Italy
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Peralta D, Janda L, García de Jalón E, Moreno-Izco L, Sánchez-Torres AM, Cuesta MJ, Peralta V. Long-term diagnostic stability, predictors of diagnostic change, and time until diagnostic change of first-episode psychosis: a 21-year follow-up study. Psychol Med 2024; 54:1329-1338. [PMID: 37987188 DOI: 10.1017/s0033291723003173] [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] [Indexed: 11/22/2023]
Abstract
BACKGROUND Although diagnostic instability in first-episode psychosis (FEP) is of major concern, little is known about its determinants. This very long-term follow-up study aimed to examine the diagnostic stability of FEP diagnoses, the baseline predictors of diagnostic change and the timing of diagnostic change. METHODS This was a longitudinal and naturalistic study of 243 subjects with FEP who were assessed at baseline and reassessed after a mean follow-up of 21 years. The diagnostic stability of DSM-5 psychotic disorders was examined using prospective and retrospective consistencies, logistic regression was used to establish the predictors of diagnostic change, and survival analysis was used to compare time to diagnostic change across diagnostic categories. RESULTS The overall diagnostic stability was 47.7%. Schizophrenia and bipolar disorder were the most stable diagnoses, with other categories having low stability. Predictors of diagnostic change to schizophrenia included a family history of schizophrenia, obstetric complications, developmental delay, poor premorbid functioning in several domains, long duration of untreated continuous psychosis, spontaneous dyskinesia, lack of psychosocial stressors, longer duration of index admission, and poor early treatment response. Most of these variables also predicted diagnostic change to bipolar disorder but in the opposite direction and with lesser effect sizes. There were no significant differences between specific diagnoses regarding time to diagnostic change. At 10-year follow-up, around 80% of the diagnoses had changed. CONCLUSIONS FEP diagnoses other than schizophrenia or bipolar disorder should be considered as provisional. Considering baseline predictors of diagnostic change may help to enhance diagnostic accuracy and guide therapeutic interventions.
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Affiliation(s)
- David Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Lucía Janda
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Elena García de Jalón
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
- Department of Psychiatry, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Lucía Moreno-Izco
- Department of Psychiatry, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
| | - Ana M Sánchez-Torres
- Department of Psychiatry, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
| | - Victor Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
- Department of Psychiatry, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
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10
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Pelizza L, Leuci E, Leucci AC, Quattrone E, Azzali S, Pupo S, Plazzi E, Paulillo G, Pellegrini P, Menchetti M. Diagnostic shift in first episode psychosis: Results from the 2-year follow-up of the "Parma Early Psychosis" program. Schizophr Res 2024; 267:99-106. [PMID: 38531162 DOI: 10.1016/j.schres.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 01/17/2024] [Accepted: 03/14/2024] [Indexed: 03/28/2024]
Abstract
PURPOSE Although the stability of current diagnostic criteria for people with First Episode Psychosis (FEP) is essential for treatment, it still remains poorly investigated. As its examination necessarily requires a prospective evaluation of diagnostic trajectories, the aims of the current longitudinal investigation were: (a) to assess diagnostic changes in an Italian FEP population treated within an "Early Intervention in Psychosis" service during a 2-year follow-up period, and (b) to identify potential sociodemographic and clinical moderators of diagnostic instability at entry. METHODS All participants were FEP individuals, aged 12-35 years. Their primary diagnosis was formulated both at baseline and at the end of the follow-up. At entry, they also completed the Positive And Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning (GAF) scale. As measure of diagnostic stability, the Kappa statistic was first calculated. The associations of diagnostic shift with baseline sociodemographic and clinical characteristics were then analyzed using a logistic model with the diagnostic change as dependent variable. Finally, a propensity score was calculated, based on logistic analysis results. RESULTS 221 (50.1 %) FEP participants changed their initial diagnosis. The highest prospective diagnostic stability was found for initial diagnosis of schizophrenia (93.9 %) and affective spectrum psychoses (92.4 %). Diagnostic instability was high for initial diagnosis of brief psychotic disorder (100 %), schizophreniform disorder (100 %) and psychotic disorder not otherwise specified (92.1 %). The best predictors of diagnostic change were previous contact with neuropsychiatry services, shorter duration of untreated psychosis and higher baseline levels of disorganization. CONCLUSIONS Diagnostic stability is crucial for treatment and clinical decision making. Addressing instability in FEP diagnoses and detecting its moderators at entry are important challenges for future diagnostic development of early psychosis.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Biomedical and Neuromotor Sciences, "Alma Mater Studiorum" Università di Bologna, Bologna, BO, Italy; Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy.
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Anna Caterina Leucci
- Department of Biomedical and Neuromotor Sciences, "Alma Mater Studiorum" Università di Bologna, Bologna, BO, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, RE, Italy
| | - Simona Pupo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, Parma, PR, Italy
| | - Enrico Plazzi
- Department of Biomedical and Neuromotor Sciences, "Alma Mater Studiorum" Università di Bologna, Bologna, BO, Italy
| | - Giuseppina Paulillo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, Parma, PR, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, PR, Italy
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, "Alma Mater Studiorum" Università di Bologna, Bologna, BO, Italy
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11
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Yu SC, Hwang TJ, Liu CM, Chan HY, Kuo CJ, Yang TT, Wang JP, Liu CC, Hsieh MH, Lin YT, Chien YL, Kuo PH, Shih YW, Yu SL, Chen HY, Chen WJ. Patients with first-episode psychosis in northern Taiwan: neurocognitive performance and niacin response profile in comparison with schizophrenia patients of different familial loadings and relationship with clinical features. BMC Psychiatry 2024; 24:155. [PMID: 38389072 PMCID: PMC10885443 DOI: 10.1186/s12888-024-05598-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/08/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Examining patients with first-episode psychosis (FEP) provides opportunities to better understand the mechanism underlying these illnesses. By incorporating quantitative measures in FEP patients, we aimed to (1) determine the baseline distribution of clinical features; (2) examine the impairment magnitude of the quantitative measures by comparing with external controls and then the counterparts of schizophrenia patients of different familial loadings; and (3) evaluate whether these quantitative measures were associated with the baseline clinical features. METHODS Patients with FEP were recruited from one medical center, two regional psychiatric centers, and two private clinics in northern Taiwan with clinical features rated using the Positive and Negative Syndrome Scale (PANSS) and Personal and Social Performance (PSP) scale. Quantitative measurements included the Continuous Performance Test (CPT), Wisconsin Card Sorting Test (WCST), niacin response abnormality (NRA), and minor physical anomalies and craniofacial features (MPAs). To evaluate the relative performance of the quantitative measures in our FEP patients, four external comparison groups from previous studies were used, including three independent healthy controls for the CPT, WCST, and NRA, respectively, and one group of treatment-resistant schizophrenia patients for the MPAs. Additionally, patients from simplex families and patients from multiplex families were used to assess the magnitude of FEP patients' impairment on the CPT, WCST, and NRA. RESULTS Among the 80 patients with FEP recruited in this study (58% female, mean age = 25.6 years, mean duration of untreated psychosis = 132 days), the clinical severity was mild to moderate (mean PANSS score = 67.3; mean PSP score = 61.8). Patients exhibited both neurocognitive and niacin response impairments (mean Z-scores: -1.24 for NRA, - 1.06 for undegraded d', - 0.70 for degraded d', - 0.32 for categories achieved, and 0.44 for perseverative errors) but did not show MPAs indicative of treatment resistance. Among these quantitative measures, three of the four neurocognitive indices were correlated with the baseline clinical features, whereas NRA did not show such correlation. CONCLUSIONS This FEP study of Taiwanese patients revealed the presence of neurocognitive performance and niacin response and their different relationships with clinical features, rendering this sample useful for future follow-up and incorporation of multiomics investigation.
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Affiliation(s)
- Shun-Chun Yu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Centers for Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan
| | - Tzung-Jeng Hwang
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
- Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan
| | - Chih-Min Liu
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | | | - Chian-Jue Kuo
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Tsung-Tsair Yang
- Department of Social Psychology, Shih Hsin University, Taipei, Taiwan
| | | | - Chen-Chung Liu
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Ming H Hsieh
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Yi-Ting Lin
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Yi-Ling Chien
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Po-Hsiu Kuo
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Ya-Wen Shih
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Sung-Liang Yu
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hsuan-Yu Chen
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Wei J Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
- Centers for Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan.
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
- Center for Neuropsychiatric Research, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
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12
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Tandon R, Nasrallah H, Akbarian S, Carpenter WT, DeLisi LE, Gaebel W, Green MF, Gur RE, Heckers S, Kane JM, Malaspina D, Meyer-Lindenberg A, Murray R, Owen M, Smoller JW, Yassin W, Keshavan M. The schizophrenia syndrome, circa 2024: What we know and how that informs its nature. Schizophr Res 2024; 264:1-28. [PMID: 38086109 DOI: 10.1016/j.schres.2023.11.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 03/01/2024]
Abstract
With new data about different aspects of schizophrenia being continually generated, it becomes necessary to periodically revisit exactly what we know. Along with a need to review what we currently know about schizophrenia, there is an equal imperative to evaluate the construct itself. With these objectives, we undertook an iterative, multi-phase process involving fifty international experts in the field, with each step building on learnings from the prior one. This review assembles currently established findings about schizophrenia (construct, etiology, pathophysiology, clinical expression, treatment) and posits what they reveal about its nature. Schizophrenia is a heritable, complex, multi-dimensional syndrome with varying degrees of psychotic, negative, cognitive, mood, and motor manifestations. The illness exhibits a remitting and relapsing course, with varying degrees of recovery among affected individuals with most experiencing significant social and functional impairment. Genetic risk factors likely include thousands of common genetic variants that each have a small impact on an individual's risk and a plethora of rare gene variants that have a larger individual impact on risk. Their biological effects are concentrated in the brain and many of the same variants also increase the risk of other psychiatric disorders such as bipolar disorder, autism, and other neurodevelopmental conditions. Environmental risk factors include but are not limited to urban residence in childhood, migration, older paternal age at birth, cannabis use, childhood trauma, antenatal maternal infection, and perinatal hypoxia. Structural, functional, and neurochemical brain alterations implicate multiple regions and functional circuits. Dopamine D-2 receptor antagonists and partial agonists improve psychotic symptoms and reduce risk of relapse. Certain psychological and psychosocial interventions are beneficial. Early intervention can reduce treatment delay and improve outcomes. Schizophrenia is increasingly considered to be a heterogeneous syndrome and not a singular disease entity. There is no necessary or sufficient etiology, pathology, set of clinical features, or treatment that fully circumscribes this syndrome. A single, common pathophysiological pathway appears unlikely. The boundaries of schizophrenia remain fuzzy, suggesting the absence of a categorical fit and need to reconceptualize it as a broader, multi-dimensional and/or spectrum construct.
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Affiliation(s)
- Rajiv Tandon
- Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, MI 49008, United States of America.
| | - Henry Nasrallah
- Department of Psychiatry, University of Cincinnati College of Medicine Cincinnati, OH 45267, United States of America
| | - Schahram Akbarian
- Department of Psychiatry, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States of America
| | - Lynn E DeLisi
- Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, MA 02139, United States of America
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Dusseldorf, Heinrich-Heine University, Dusseldorf, Germany
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute of Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90024, United States of America; Greater Los Angeles Veterans' Administration Healthcare System, United States of America
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States of America
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN 37232, United States of America
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Glen Oaks, NY 11004, United States of America
| | - Dolores Malaspina
- Department of Psychiatry, Neuroscience, Genetics, and Genomics, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannhein/Heidelberg University, Mannheim, Germany
| | - Robin Murray
- Institute of Psychiatry, Psychology, and Neuroscience, Kings College, London, UK
| | - Michael Owen
- Centre for Neuropsychiatric Genetics and Genomics, and Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Jordan W Smoller
- Center for Precision Psychiatry, Department of Psychiatry, Psychiatric and Neurodevelopmental Unit, Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States of America
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
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13
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Catalan A, McCutcheon RA, Aymerich C, Pedruzo B, Radua J, Rodríguez V, Salazar de Pablo G, Pacho M, Pérez JL, Solmi M, McGuire P, Giuliano AJ, Stone WS, Murray RM, Gonzalez-Torres MA, Fusar-Poli P. The magnitude and variability of neurocognitive performance in first-episode psychosis: a systematic review and meta-analysis of longitudinal studies. Transl Psychiatry 2024; 14:15. [PMID: 38191534 PMCID: PMC10774360 DOI: 10.1038/s41398-023-02718-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 01/10/2024] Open
Abstract
Neurocognitive deficits are a core feature of psychotic disorders, but it is unclear whether they affect all individuals uniformly. The aim of this systematic review and meta-analysis was to synthesize the evidence on the magnitude, progression, and variability of neurocognitive functioning in individuals with first-episode psychosis (FEP). A multistep literature search was conducted in several databases up to November 1, 2022. Original studies reporting on neurocognitive functioning in FEP were included. The researchers extracted the data and clustered the neurocognitive tasks according to the seven Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) domains and six additional domains. Random-effect model meta-analyses, assessment of publication biases and study quality, and meta-regressions were conducted. The primary effect size reported was Hedges g of (1) neurocognitive functioning in individuals at FEP measuring differences with healthy control (HC) individuals or (2) evolution of neurocognitive impairment across study follow-up intervals. Of 30,384 studies screened, 54 were included, comprising 3,925 FEP individuals and 1,285 HC individuals. Variability analyses indicated greater variability in FEP compared to HC at baseline and follow-up. We found better neurocognitive performance in the HC group at baseline and follow-up but no differences in longitudinal neurocognitive changes between groups. Across the 13 domains, individuals with FEP showed improvement from baseline in all studied domains, except for visual memory. Metaregressions showed some differences in several of the studied domains. The findings suggest that individuals with FEP have marked cognitive impairment, but there is greater variability in cognitive functioning in patients than in HC. This suggests that subgroups of individuals suffer severe disease-related cognitive impairments, whereas others may be much less affected. While these impairments seem stable in the medium term, certain indicators may suggest potential further decline in the long term for a specific subgroup of individuals, although more research is needed to clarify this. Overall, this study highlights the need for tailored neurocognitive interventions for individuals with FEP based on their specific deficits and progression.
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Affiliation(s)
- Ana Catalan
- Department of Neuroscience, University of the Basque Country UPV/EHU; Psychiatry Department. Basurto University Hospital; Biobizkaia Health Research Institute; Centro de Investigación en Red de Salud Mental. (CIBERSAM) Instituto de Salud Carlos III , OSI Bilbao-Basurto, Av. Montevideo 18, 48013, Bilbao, Spain.
- Early Psychosis Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Robert A McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry. University of Oxford, Warneford Hospital, Headington, OX3 7JX, UK
- Oxford Health NHS foundation trust, Oxford, UK
| | - Claudia Aymerich
- Department of Neuroscience, University of the Basque CountryUPV/EHU. Psychiatry Department. Basurto University Hospital. BiBiobizkaia Health Research Institute. Centro de Investigaciónen Red de Salud Mental. (CIBERSAM), Instituto de Salud Carlos III, Avenida de Montevideo 18, 48013, Bilbao, Spain
| | - Borja Pedruzo
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain
| | - Victoria Rodríguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and 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, 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
| | - Malein Pacho
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Jose Luis Pérez
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Marco Solmi
- Charité Universitätsmedizin Berlin, Department of Child and Adolescent Psychiatry, Berlin, Germany
- SCIENCES lab, Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- On Track: The Champlain 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, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry. University of Oxford, Warneford Hospital, Headington, OX3 7JX, UK
| | - Anthony J Giuliano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Miguel Angel Gonzalez-Torres
- Department of Neuroscience, University of the Basque Country UPV/EHU; Psychiatry Department. Basurto University Hospital; Biobizkaia Health Research Institute; Centro de Investigación en Red de Salud Mental. (CIBERSAM) Instituto de Salud Carlos III , OSI Bilbao-Basurto, Av. Montevideo 18, 48013, Bilbao, 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, UK
- Department of Brain and Behavioral Sciences, University of Pavia, , Pavia, Italy
- Outreach and Support in South London (OASIS) service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
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14
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López-Díaz Á, Palermo-Zeballos FJ, Gutierrez-Rojas L, Alameda L, Gotor-Sánchez-Luengo F, Garrido-Torres N, Métrailler J, Alerci L, Bonnarel V, Cano-Domínguez P, Avanesi-Molina E, Soto-Ontoso M, Torrecilla-Olavarrieta R, Muñoz-Manchado LI, Torres-Hernández P, González-Higueras F, Prados-Ojeda JL, Herrera-Cortés M, Meca-García JM, Gordillo-Urbano RM, Sánchez-Robles C, Delgado-Durán T, Soriano-Peña MF, Golay P, Conus P, Crespo-Facorro B, Ruiz-Veguilla M. Proxy measures for the assessment of psychotic and affective symptoms in studies using electronic health records. BJPsych Open 2024; 10:e22. [PMID: 38179604 PMCID: PMC10790217 DOI: 10.1192/bjo.2023.623] [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: 08/24/2023] [Revised: 10/31/2023] [Accepted: 11/14/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND There is a lack of standardised psychometric data in electronic health record (EHR)-based research. Proxy measures of symptom severity based on patients' clinical records may be useful surrogates in mental health EHR research. AIMS This study aimed to validate proxy tools for the short versions of the Positive and Negative Syndrome Scale (PANSS-6), Young Mania Rating Scale (YMRS-6) and Montgomery-Åsberg Depression Rating Scale (MADRS-6). METHOD A cross-sectional, multicentre study was conducted in a sample of 116 patients with first-episode psychosis from 12 public hospitals in Spain. Concordance between PANSS-6, YMRS-6 and MADRS-6 scores and their respective proxies was evaluated based on information from EHR clinical notes, using a variety of statistical procedures, including multivariate tests to adjust for potential confounders. Bootstrapping techniques were used for internal validation, and an independent cohort from the Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne, Switzerland) for external validation. RESULTS The proxy versions correlated strongly with their respective standardised scales (partial correlations ranged from 0.75 to 0.84) and had good accuracy and discriminatory power in distinguishing between patients in and not in remission (percentage of patients correctly classified ranged from 83.9 to 91.4% and bootstrapped optimism-corrected area under the receiver operating characteristic curve ranged from 0.76 to 0.89), with high interrater reliability (intraclass correlation coefficient of 0.81). The findings remained robust in the external validation data-set. CONCLUSIONS The proxy instruments proposed for assessing psychotic and affective symptoms by reviewing EHR provide a feasible and reliable alternative to traditional structured psychometric procedures, and a promising methodology for real-world practice settings.
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Affiliation(s)
- Álvaro López-Díaz
- Mental Health Clinical Management Unit, Virgen Macarena University Hospital, Seville, Spain; Translational Psychiatry Research Group (PsyNal), Seville Biomedical Research Centre (IBiS), Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Seville, Spain; Department of Psychiatry, School of Medicine, University of Seville, Spain; and First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain
| | - Fernanda Jazmín Palermo-Zeballos
- Mental Health Clinical Management Unit, Virgen Macarena University Hospital, Seville, Spain; and First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain
| | - Luis Gutierrez-Rojas
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; Mental Health Clinical Management Unit, San Cecilio University Hospital, Granada, Spain; Psychiatry and Neurosciences Research Group (CTS-549), Institute of Neurosciences, University of Granada, Spain; and Department of Psychiatry, University of Granada, Spain
| | - Luis Alameda
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP), Lausanne University Hospital and University of Lausanne, Switzerland; and Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Francisco Gotor-Sánchez-Luengo
- Department of Psychiatry, School of Medicine, University of Seville, Spain; First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Virgen del Rocío University Hospital, Seville, Spain
| | - Nathalia Garrido-Torres
- Translational Psychiatry Research Group (PsyNal), Seville Biomedical Research Centre (IBiS), Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Seville, Spain; First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Virgen del Rocío University Hospital, Seville, Spain
| | - Johann Métrailler
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP), Lausanne University Hospital and University of Lausanne, Switzerland
| | - Livia Alerci
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP), Lausanne University Hospital and University of Lausanne, Switzerland
| | - Vincent Bonnarel
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP), Lausanne University Hospital and University of Lausanne, Switzerland
| | - Pablo Cano-Domínguez
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Virgen de la Victoria University Hospital, Málaga, Spain
| | - Elma Avanesi-Molina
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Virgen de la Victoria University Hospital, Málaga, Spain
| | - Miguel Soto-Ontoso
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Torrecárdenas University Hospital, Almería, Spain
| | - Rocio Torrecilla-Olavarrieta
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Jerez University Hospital, Cádiz, Spain
| | - Leticia Irene Muñoz-Manchado
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Jerez University Hospital, Cádiz, Spain
| | - Pedro Torres-Hernández
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Jaén University Hospital, Spain
| | - Fermín González-Higueras
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Jaén University Hospital, Spain
| | - Juan Luis Prados-Ojeda
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Reina Sofía University Hospital, Córdoba, Spain
| | - Mario Herrera-Cortés
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Reina Sofía University Hospital, Córdoba, Spain
| | - José Miguel Meca-García
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Poniente University Hospital, Almería, Spain
| | - Rafael Manuel Gordillo-Urbano
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Infanta Margarita Hospital, Córdoba, Spain
| | - Cristina Sánchez-Robles
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Juan Ramón Jiménez Hospital, Huelva, Spain
| | - Tomás Delgado-Durán
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Juan Ramón Jiménez Hospital, Huelva, Spain
| | - María Felipa Soriano-Peña
- First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, San Agustín University Hospital, Linares, Spain
| | - Philippe Golay
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP), Lausanne University Hospital and University of Lausanne, Switzerland
| | - Philippe Conus
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP), Lausanne University Hospital and University of Lausanne, Switzerland
| | - Benedicto Crespo-Facorro
- Translational Psychiatry Research Group (PsyNal), Seville Biomedical Research Centre (IBiS), Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Seville, Spain; Department of Psychiatry, School of Medicine, University of Seville, Spain; First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Virgen del Rocío University Hospital, Seville, Spain
| | - Miguel Ruiz-Veguilla
- Translational Psychiatry Research Group (PsyNal), Seville Biomedical Research Centre (IBiS), Spain; Spanish Network for Research in Mental Health, Carlos III Institute (CIBERSAM, ISCIII), Seville, Spain; Department of Psychiatry, School of Medicine, University of Seville, Spain; First-Episode Psychosis Research Network of Andalusia (Red PEPSur), Spain; and Mental Health Clinical Management Unit, Virgen del Rocío University Hospital, Seville, Spain
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15
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Zeng Q, Liu J, Mu J, Yang J, Gao Q, Wu F, Zhou H. Optimal biopsy site for the diagnosis of oral pemphigus vulgaris and mucous membrane pemphigoid: a systematic review and meta-analysis. Int J Oral Maxillofac Surg 2023; 52:1162-1172. [PMID: 37268547 DOI: 10.1016/j.ijom.2023.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 05/07/2023] [Accepted: 05/11/2023] [Indexed: 06/04/2023]
Abstract
The aim of this study was to critically evaluate the diagnostic yields of direct immunofluorescence (DIF) analysis on perilesional and normal-appearing mucosa biopsy samples, to determine the optimal biopsy site for patients presenting with oral pemphigus vulgaris (PV) or mucous membrane pemphigoid (MMP). Electronic databases and article bibliographies were searched in December 2022. The primary outcome was the rate of DIF positivity. Of 374 records identified after the elimination of duplicates, 21 studies with 1027 samples were ultimately included. Meta-analysis revealed a pooled DIF positivity rate of 99.6% (95% confidence interval (CI) 97.4-100.0%, I2 = 0%) for PV and 92.6% (95% CI 87.9-96.5%, I2 = 44%) for MMP for biopsies from perilesional sites, and of 95.4% (95% CI 88.6-99.5%, I2 = 0%) for PV and 94.1% (95% CI 86.5-99.2%, I2 = 42%) for MMP for biopsies from normal-appearing sites. For MMP, there was no significant difference in the rate of DIF positivity between the two biopsy sites (odds ratio 1.91, 95% CI 0.91-4.01, I2 = 0%). The results suggest that the perilesional mucosa remains the optimal biopsy site for DIF diagnosis of oral PV, while the normal-appearing mucosa biopsy is optimal for oral MMP.
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Affiliation(s)
- Q Zeng
- State Key Laboratory of Oral Diseases, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - J Liu
- State Key Laboratory of Oral Diseases, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - J Mu
- State Key Laboratory of Oral Diseases, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - J Yang
- State Key Laboratory of Oral Diseases, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Q Gao
- Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - F Wu
- State Key Laboratory of Oral Diseases, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
| | - H Zhou
- State Key Laboratory of Oral Diseases, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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16
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Inchausti L, Gorostiza I, Gonzalez Torres MA, Oraa R. The transition to Schizophrenia spectrum disorder from a first psychotic episode that did or did not appear to be induced by substance use. Psychiatry Res 2023; 328:115475. [PMID: 37713923 DOI: 10.1016/j.psychres.2023.115475] [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: 08/01/2022] [Revised: 09/08/2023] [Accepted: 09/09/2023] [Indexed: 09/17/2023]
Abstract
The first years following a first-episode psychosis (FEP) are crucial. This retrospective cohort study investigates the evolution of first-episode psychosis (FEP), including substance-induced psychosis (SIP), and explores factors influencing the diagnostic conversion to Schizophrenia or Schizophrenia Spectrum Disorders (SSD). Diagnoses of patients discharged from Basurto University Hospital's inpatient psychiatry unit between January 2002 and December 2016 were reviewed. Sociodemographic, clinical, and substance use data, including cannabinoids, opioids, amphetamines, cocaine, and alcohol, were collected. The analysis utilized descriptive statistics, Kaplan-Meier survival curves, and Cox regression. Among 341 patients, 64.8% were male, with a mean age of 33.8 years. Psychiatric family history was present in 33.4% of cases, and cannabis was the most commonly used substance (78.9%). Of the patients, 52.8% received subsequent diagnoses of Schizophrenia or SSD, with 86.9% of these cases occurring within the first five years. No significant differences were observed between patients diagnosed with SIP and other diagnoses in terms of sociodemographic, clinical characteristics, or progression to Schizophrenia or SSD. However, use of cannabis (compared to use of another substance or polysubstance use) was associated with a higher risk to conversion (HR 1.96; p = 0.001). These findings underscore the importance of addressing substance use and treatment adherence in FEP.
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Affiliation(s)
- Lucía Inchausti
- University of the Basque Country-Euskal Herriko Unibertsitatea, Neuroscience Department, Leioa, Spain; Osakidetza, Basurto University Hospital, Psychiatric Department, Bilbao, Spain; Biocruces Bizkaia, Mental Health Research Group, Barakaldo, Spain; Centro de Investigación en Red de Salud Mental. (CIBERSAM), Instituto de Salud Carlos III.
| | - Inigo Gorostiza
- Osakidetza, Basurto University Hospital, Research Unit, Bilbao, Spain; REDISSEC (Spanish Research Network in Chronic Disease Health Services), Madrid, Spain
| | - Miguel Angel Gonzalez Torres
- University of the Basque Country-Euskal Herriko Unibertsitatea, Neuroscience Department, Leioa, Spain; Osakidetza, Basurto University Hospital, Psychiatric Department, Bilbao, Spain; Biocruces Bizkaia, Mental Health Research Group, Barakaldo, Spain; Centro de Investigación en Red de Salud Mental. (CIBERSAM), Instituto de Salud Carlos III
| | - Rodrigo Oraa
- Osakidetza, Mental Health Network of Bizkaia, Ajuriaguerra Mental Health Centre - Addictions Manuene Day Hospital, Bizkaia, Spain; Biocruces Bizkaia, Mental Health Network, Barakaldo, Spain
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17
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Hui CLM, Chan EWT, Hui PWM, Tao TJ, Ho ECN, Lam BST, Wah See SH, Suen YN, Chang WC, Wa SK, Lee EHM, Chen EYH. Functional and clinical outcomes of delusional disorder and schizophrenia patients after first episode psychosis: a 4-year follow-up study. BMC Psychiatry 2023; 23:676. [PMID: 37723482 PMCID: PMC10506281 DOI: 10.1186/s12888-023-05175-z] [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: 05/11/2023] [Accepted: 09/09/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Literature has typically associated delusional disorder with a poorer prognosis relative to schizophrenia, without considering the confounding effect of age despite the differential age of onset. This study therefore aims to investigate the diagnostic stability, clinical, functional, and neurocognitive differences of Chinese first-episode psychosis age-matched patients with delusional disorder and schizophrenia at four years. METHODS 71 delusional disorder and 71 age-matched schizophrenia patients were followed up for four years after their initial episode. Their symptoms, insight in psychosis, side effects of medication, medication compliance, functioning, and neurocognitive performance were assessed at four years. RESULTS At four years, 65% of DD patients maintained the same diagnosis, while the rest shifted to SZ. Only those without a diagnostic shift were included in the analysis. Delusional disorder patients (n = 46) experienced greater general psychopathology and poorer insight, but better attitude towards medication than schizophrenia patients (n = 71). Social and occupational functioning, quality of life, and cognitive functioning, however, were similar in delusional disorder and schizophrenia patients. CONCLUSIONS Results indicate that delusional disorder is less diagnostically stable than schizophrenia. Their outcomes in a Chinese population were largely similar at four years after removing the confounding age factor, implying that delusional disorder and schizophrenia may not be as distinct as previously thought.
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Affiliation(s)
- Christy Lai Ming Hui
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong.
| | - Evie Wai Ting Chan
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Priscilla Wing Man Hui
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Tiffany Junchen Tao
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Elise Chun Ning Ho
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Bertha Sze Ting Lam
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Sally Hiu Wah See
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Yi Nam Suen
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Wing Chung Chang
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, Hong Kong
| | - Sherry Kit Wa
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, Hong Kong
| | - Edwin Ho Ming Lee
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Eric Yu Hai Chen
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, Hong Kong
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18
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Vochoskova K, McWhinney SR, Fialova M, Kolenic M, Spaniel F, Svancer P, Boron P, Okaji Y, Trancik P, Hajek T. Weight and metabolic changes in early psychosis-association with daily quantification of medication exposure during the first hospitalization. Acta Psychiatr Scand 2023; 148:265-276. [PMID: 37528692 DOI: 10.1111/acps.13594] [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: 02/18/2023] [Revised: 05/30/2023] [Accepted: 07/06/2023] [Indexed: 08/03/2023]
Abstract
BACKGROUND The most common causes of death in schizophrenia are cardiovascular disorders, which are closely related to metabolic syndrome/obesity. To better understand the development of metabolic alterations early in the course of illness, we quantified daily medication exposure in the first days of the first hospitalization for psychosis and related it to changes in weight and metabolic markers. STUDY DESIGN We recruited participants with first episode psychosis (FEP, N = 173) during their first psychiatric hospitalization and compared them to controls (N = 204). We prospectively collected weight, body mass index, metabolic markers, and exact daily medication exposure at admission and during hospitalization. STUDY RESULTS Individuals with FEP gained on average 0.97 ± 2.26 BMI points or 3.46 ± 7.81 kg of weight after an average of 44.6 days of their first inpatient treatment. Greater antipsychotic exposure was associated with greater BMI increase, but only in people with normal/low baseline BMI. Additional predictors of weight gain included type of medication and duration of treatment. Medication exposure was not directly related to metabolic markers, but higher BMI was associated with higher TGC, TSH, and lower HDL. Following inpatient treatment, participants with FEP had significantly higher BMI, TGC, prolactin, and lower fT4, HDL than controls. CONCLUSION During their first admission, people with FEP, especially those with normal/low baseline BMI, showed a rapid and clinically significant weight increase, which was associated with exposure to antipsychotics, and with metabolic changes consistent with metabolic syndrome. These findings emphasize weight monitoring in FEP and suggest a greater need for caution when prescribing metabolically problematic antipsychotics to people with lower BMI.
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Affiliation(s)
- Kristyna Vochoskova
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | | | - Marketa Fialova
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Marian Kolenic
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Patrik Svancer
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Petra Boron
- Psychiatric Hospital Bohnice, Prague, Czech Republic
| | - Yurai Okaji
- Psychiatric Hospital Bohnice, Prague, Czech Republic
| | - Pavel Trancik
- Psychiatric Hospital Bohnice, Prague, Czech Republic
| | - Tomas Hajek
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Psychiatry, Dalhousie University, Halifax, Canada
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19
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Grover S, Kathiravan S. Acute and transient psychotic disorders: A review of Indian research. Indian J Psychiatry 2023; 65:895-913. [PMID: 37841545 PMCID: PMC10569331 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_254_23] [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: 04/09/2023] [Revised: 06/26/2023] [Accepted: 08/09/2023] [Indexed: 10/17/2023] Open
Abstract
Background Acute and transient psychotic disorder (ATPD) was recognized as separate from other psychotic disorders and described in the International Classification of Diseases (ICD) tenth revision for the first time. A lot of research on ATPD has been conducted in India over the last six decades, but a review focusing exclusively on Indian research on ATPD is not available. Aim This paper aims to review the literature on ATPD emerging from India. Methodology A combination of search terms "Acute and Transient Psychosis," "acute psychosis," "non-affective psychosis," "non-affective psychotic disorder," "reactive psychosis," "first-episode psychosis," and "India" were searched on various search engines like PUBMED, Medknow, Hinari, and Google Scholar. We also did a hand search for additional relevant articles, including published abstracts of the Indian Journal of Psychiatry from 2007 to 2023. Relevant papers were selected. Results The prevalence of ATPD varies across different study settings, and it tends to have an abrupt to acute onset, and is primarily associated with stress. Few studies have assessed the subtypes of ATPD, and symptom profile has been inconsistently reported. There is a lack of trials on the effectiveness or efficacy of antipsychotics in ATPD patients. In a large proportion of patients initially diagnosed with ATPD, the diagnosis remains stable, with recurrence varying from 10% to 46.6% based on the duration of follow-up. Conclusion There is a need for more multicentric studies, studies with larger sample sizes, and consistency in data about risk factors. There is a need to evaluate symptom profile, course, outcome, and treatment outcomes in patients with ATPD using validated instruments to improve our understanding. Further, there is a need for comparative studies to evaluate the risk factors for ATPD.
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Affiliation(s)
- Sandeep Grover
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sanjana Kathiravan
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
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20
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Sunshine A, McClellan J. Practitioner Review: Psychosis in children and adolescents. J Child Psychol Psychiatry 2023; 64:980-988. [PMID: 36878476 PMCID: PMC10501332 DOI: 10.1111/jcpp.13777] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/20/2023] [Indexed: 03/08/2023]
Abstract
Psychotic symptoms, including hallucinations, delusions, and disorganized thinking and behaviors, are the hallmarks of schizophrenia; but may also present in the context of other psychiatric and medical conditions. Many children and adolescents describe psychotic-like experiences, which can be associated with other types of psychopathology and past experiences (e.g., trauma, substance use, and suicidality). However, most youth reporting such experiences do not have, nor will ever develop, schizophrenia or another psychotic disorder. Accurate assessment is critical because these different presentations have different diagnostic and treatment implications. For this review, we focus primarily on the diagnosis and treatment of early onset schizophrenia. In addition, we review the development of community-based first-episode psychosis programming, and the importance of early intervention and coordinated care.
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Affiliation(s)
- Anna Sunshine
- Department of Psychiatry, University of Washington, Seattle, WA, USA
| | - Jon McClellan
- Department of Psychiatry, University of Washington, Seattle, WA, USA
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21
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Nau CL, Braciszewski JM, Rossom RC, Penfold RB, Coleman KJ, Simon GE, Hong B, Padilla A, Butler RK, Chen A, Waters HC. Assessment of Disruptive Life Events for Individuals Diagnosed With Schizophrenia or Bipolar I Disorder Using Data From a Consumer Credit Reporting Agency. JAMA Psychiatry 2023:2804639. [PMID: 37163288 PMCID: PMC10173103 DOI: 10.1001/jamapsychiatry.2023.1179] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Importance There is a dearth of population-level data on major disruptive life events (defined here as arrests by a legal authority, address changes, bankruptcy, lien, and judgment filings) for patients with bipolar I disorder (BPI) or schizophrenia, which has limited studies on mental health and treatment outcomes. Objective To conduct a population-level study on disruptive life events by using publicly available data on disruptive life events, aggregated by a consumer credit reporting agency in conjunction with electronic health record (EHR) data. Design, Setting, and Participants This study used EHR data from 2 large, integrated health care systems, Kaiser Permanente Southern California and Henry Ford Health. Cohorts of patients diagnosed from 2007 to 2019 with BPI or schizophrenia were matched 1:1 by age at analysis, age at diagnosis (if applicable), sex, race and ethnicity, and Medicaid status to (1) an active comparison group with diagnoses of major depressive disorder (MDD) and (2) a general health (GH) cohort without diagnoses of BPI, schizophrenia, or MDD. Patients with diagnoses of BPI or schizophrenia and their respective comparison cohorts were matched to public records data aggregated by a consumer credit reporting agency (98% match rate). Analysis took place between November 2020 and December 2022. Main Outcomes and Measures The differences in the occurrence of disruptive life events among patients with BPI or schizophrenia and their comparison groups. Results Of 46 167 patients, 30 008 (65%) had BPI (mean [SD] age, 42.6 [14.2] years) and 16 159 (35%) had schizophrenia (mean [SD], 41.4 [15.1] years). The majoriy of patients were White (30 167 [65%]). In addition, 18 500 patients with BPI (62%) and 6552 patients with schizophrenia (41%) were female. Patients with BPI were more likely to change addresses than patients in either comparison cohort (with the incidence ratio being as high as 1.25 [95% CI, 1.23-1.28]) when compared with GH cohort. Patients with BPI were also more likely to experience any of the financial disruptive life events with odds ratio ranging from 1.15 [95% CI, 1.07-1.24] to 1.50 [95% CI, 1.42-1.58]). The largest differences in disruptive life events were seen in arrests of patients with either BPI or schizophrenia compared with GH peers (3.27 [95% CI, 2.84-3.78] and 3.04 [95% CI, 2.57-3.59], respectively). Patients with schizophrenia had fewer address changes and were less likely to experience a financial event than their matched comparison cohorts. Conclusions and Relevance This study demonstrated that data aggregated by a consumer credit reporting agency can support population-level studies on disruptive life events among patients with BPI or schizophrenia.
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Affiliation(s)
- Claudia L Nau
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | | | | | - Robert B Penfold
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Karen J Coleman
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Gregory E Simon
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Benjamin Hong
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Ariadna Padilla
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Rebecca K Butler
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Aiyu Chen
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Heidi C Waters
- Global Value & Real World Evidence, Otsuka Pharmaceutical Development & Commercialization, Inc, Princeton, New Jersey
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22
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Millgate E, Smart SE, Pardiñas AF, Kravariti E, Ajnakina O, Kępińska AP, Andreassen OA, Barnes TRE, Berardi D, Crespo-Facorro B, D'Andrea G, Demjaha A, Di Forti M, Doody GA, Kassoumeri L, Ferchiou A, Guidi L, Joyce EM, Lastrina O, Melle I, Pignon B, Richard JR, Simonsen C, Szöke A, Tarricone I, Tortelli A, Vázquez-Bourgon J, Murray RM, Walters JTR, MacCabe JH. Cognitive performance at first episode of psychosis and the relationship with future treatment resistance: Evidence from an international prospective cohort study. Schizophr Res 2023; 255:173-181. [PMID: 37001392 PMCID: PMC10390338 DOI: 10.1016/j.schres.2023.03.020] [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: 10/24/2021] [Revised: 01/26/2023] [Accepted: 03/11/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Antipsychotic treatment resistance affects up to a third of individuals with schizophrenia, with recent research finding systematic biological differences between antipsychotic resistant and responsive patients. Our aim was to determine whether cognitive impairment at first episode significantly differs between future antipsychotic responders and resistant cases. METHODS Analysis of data from seven international cohorts of first-episode psychosis (FEP) with cognitive data at baseline (N = 683) and follow-up data on antipsychotic treatment response: 605 treatment responsive and 78 treatment resistant cases. Cognitive measures were grouped into seven cognitive domains based on the pre-existing literature. We ran multiple imputation for missing data and used logistic regression to test for associations between cognitive performance at FEP and treatment resistant status at follow-up. RESULTS On average patients who were future classified as treatment resistant reported poorer performance across most cognitive domains at baseline. Univariate logistic regressions showed that antipsychotic treatment resistance cases had significantly poorer IQ/general cognitive functioning at FEP (OR = 0.70, p = .003). These findings remained significant after adjusting for additional variables in multivariable analyses (OR = 0.76, p = .049). CONCLUSIONS Although replication in larger studies is required, it appears that deficits in IQ/general cognitive functioning at first episode are associated with future treatment resistance. Cognitive variables may be able to provide further insight into neurodevelopmental factors associated with treatment resistance or act as early predictors of treatment resistance, which could allow prompt identification of refractory illness and timely interventions.
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Affiliation(s)
- Edward Millgate
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Sophie E Smart
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Eugenia Kravariti
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Olesya Ajnakina
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Adrianna P Kępińska
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Domenico Berardi
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, Hospital Universitario Virgen del Rocio, IBiS, Universidad de Sevilla, Spain; Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain
| | - Giuseppe D'Andrea
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Arsime Demjaha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- Social Genetics and Developmental Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Gillian A Doody
- Department of Medical Education, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Laura Kassoumeri
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Aziz Ferchiou
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Lorenzo Guidi
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Eileen M Joyce
- Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ornella Lastrina
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Baptiste Pignon
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Jean-Romain Richard
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France
| | - Carmen Simonsen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Early Intervention in Psychosis Advisory Unit for South East Norway (TIPS Sør-Øst), Division of Mental Health and Addiction, Oslo University Hospital, Norway
| | - Andrei Szöke
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Ilaria Tarricone
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Andrea Tortelli
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; Groupe Hospitalier Universitaire Psychiatrie Neurosciences Paris, Pôle Psychiatrie Précarité, Paris, France
| | - Javier Vázquez-Bourgon
- Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain; Department of Psychiatry, University Hospital Marques de Valdecilla - Instituto de Investigación Marques de Valdecilla (IDIVAL), Santander, Spain; Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Mental Health Foundation Trust, London, UK.
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23
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Heslin M, Jewell A, Croxford S, Chau C, Smith S, Pittrof R, Covshoff E, Sullivan A, Delpech V, Brown A, King HP, Kakaiya M, Campbell L, Hughes E, Stewart R. Prevalence of HIV in mental health service users: a retrospective cohort study. BMJ Open 2023; 13:e067337. [PMID: 37185201 PMCID: PMC10186409 DOI: 10.1136/bmjopen-2022-067337] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 03/01/2023] [Indexed: 05/17/2023] Open
Abstract
OBJECTIVE To examine the prevalence of HIV in a cohort of people who have used secondary mental health services in the UK. DESIGN Retrospective cohort study. SETTING Routinely collected clinical data from secondary mental health services in South London, UK available for research through the Clinical Record Interactive Search tool at the National Institute for Health and Care Research Maudsley Biomedical Research Centre were matched with pseudonymised national HIV surveillance data held by the UK Health Security Agency using a deterministic matching algorithm. PARTICIPANTS All adults aged 16+ who presented for the first time to mental health services in the South London and Maudsley (SLaM) National Health Service Trust between 1 January 2007 and 31 December 2018 were included. PRIMARY OUTCOME Point prevalence of HIV. RESULTS There were 181 177 people who had contact with mental health services for the first time between 2007 and 2018 in SLaM. Overall, 2.47% (n=4481) of those had a recorded HIV diagnosis in national HIV surveillance data at any time (before, during or after contact with mental health services), 24.73 people per 1000. HIV point prevalence was highest in people with a diagnosed substance use disorder at 3.77% (n=784). A substantial percentage of the sample did not have a formal mental health diagnosis (27%), but even with those excluded, the point prevalence remained high at 2.31%. Around two-thirds of people had their diagnosis of HIV before contact with mental health services (67%; n=1495). CONCLUSIONS The prevalence of HIV in people who have had contact with mental health services was approximately 2.5 times higher than the general population in the same geographical area. Future work should investigate risk factors and disparities in HIV outcomes between those with and without mental health service contact.
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Affiliation(s)
- Margaret Heslin
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Amelia Jewell
- South London and Maudsley NHS Foundation Trust, London, UK
| | | | | | - Shubulade Smith
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | | | | | | | | | | | - Helena P King
- School of Health, Wellbeing and Social Care, The Open University, Milton Keynes, UK
| | | | | | - Elizabeth Hughes
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Robert Stewart
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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24
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Choi H, Shin S, Lee G. Effects of Positive Psychotherapy for People with Psychosis: A Systematic Review and Meta-Analysis. Issues Ment Health Nurs 2023; 44:180-193. [PMID: 36920274 DOI: 10.1080/01612840.2023.2174218] [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: 03/16/2023]
Abstract
This study evaluates positive psychotherapy's effects on the well-being and psychiatric symptoms of people with psychosis. A systematic search was conducted using 10 electronic databases according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A meta-analysis was performed using the R 4.2.0 program to estimate the effect size. Seventeen studies were included in the systematic review and 14 in meta-analysis. Positive psychotherapy for people with psychosis had significant effects on subjective and psychological well-being and psychiatric symptoms. Further, country, age, and session were significant moderators. Thus, positive psychotherapy improves the well-being and psychiatric symptoms of people with psychosis.
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Affiliation(s)
- Heeseung Choi
- College of Nursing and Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea
| | - Soyoun Shin
- College of Nursing, Seoul National University, Seoul, Republic of Korea
| | - Gumhee Lee
- College of Nursing, Seoul National University, Seoul, Republic of Korea
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25
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Carden J, Huxley PJ, Poole R, Robinson C, Salmoiraghi A, Foulkes J, Davies S, Williams S, Morris N, Meudell A. Social causes and outcomes of acute transient psychotic disorder: A review of recent evidence. Int J Soc Psychiatry 2023; 69:412-419. [PMID: 36047044 DOI: 10.1177/00207640221106681] [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: 11/16/2022]
Abstract
BACKGROUND Reports of increasing presentations of new cases of acute psychosis both locally, nationally and internationally during the COVID-19 pandemic, warranted further investigation. International case reports almost exclusively reported only clinical outcome (e.g. remission of psychotic symptoms), and fail to report on social precipitants or social outcomes. This is a common omission when investigating new psychosis cases such as acute and transient psychotic disorder (ATPD). In order to assess social impacts and outcomes, we conducted a rapid review of recent evidence. AIMS To conduct a rapid review of the recent evidence of social outcomes on new cases of psychosis emerging during the COVID-19 pandemic. METHOD Four databases (Medline, Embase, Psychinfo and Cochrane COVID-19) were searched for ATPD, psychosis and social outcomes in adults aged 18+. Duplicates were removed. There were no language limitations. Results: There were 24 papers consisting of 18 original data research papers and 6 reviews. Additionally, 33 papers/letters, reporting on 60 individual cases of psychosis emerging during the COVID-19 pandemic. These two sets of papers were reviewed separately. Many original data research papers and reviews were sub optimal in their quality, with 44% online surveys, with the remainder being routinely collected data. CONCLUSION There is a consensus that clinical outcomes of ATPD and other brief psychotic disorders (BPD) are good in the short term. The focus only on symptomatic clinical presentation and outcomes, leaves a gap in our understanding regarding social stressors and longer term social outcomes. ATPD and BPD often may not come to the attention of Early Intervention in Psychosis services, and if they do, are discharged following symptomatic remission. Without an understanding of the social stress factors and social outcomes, opportunities may be missed to prevent increased social disability and future relapse with these presentations.
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Affiliation(s)
- John Carden
- Mental Health Division, Flintshire Community Mental Health Teams, Betsi Cadwaladr University Health Board, Flintshire, UK
| | - Peter John Huxley
- Centre for Mental Health and Society, Wrexham Academic Unit, Bangor University, Wrexham, UK
| | - Robert Poole
- Centre for Mental Health and Society, Wrexham Academic unit, Bangor University, Wrexham, UK
| | | | | | | | - Sioned Davies
- Centre for Mental Health and Society, Wrexham Academic Unit, Bangor University, Wrexham, UK
| | | | - Nia Morris
- Betsi Cadwaladr University Health Board, Wrexham, UK
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26
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Carr G, Cunningham R, Petrović-van der Deen FS, Manuel J, Gibb S, Porter RJ, Pitama S, Crowe M, Crengle S, Lacey C. Evolution of first episode psychosis diagnoses and health service use among young Māori and non-Māori-A New Zealand national cohort study. Early Interv Psychiatry 2023; 17:290-298. [PMID: 35733282 DOI: 10.1111/eip.13327] [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: 03/09/2022] [Revised: 04/06/2022] [Accepted: 05/29/2022] [Indexed: 11/24/2022]
Abstract
AIMS The validity of diagnostic classification in early psychosis has important implications for early intervention; however, it is unknown if previously found disparities between Māori (Indigenous people of New Zealand) and non-Māori in first episode diagnoses persist over time, or how these differences impact service use. METHODS We used anonymized routine mental health service data and a previously established cohort of over 2400 13-25-year-old youth diagnosed with FEP between 2009 and 2012, to explore differences in diagnostic stability of psychosis diagnoses, comorbid (non-psychosis) diagnoses, and mental health service contacts between Māori and non-Māori in the five-year period following diagnosis. RESULTS Differences in schizophrenia and affective psychosis diagnoses between Māori and non-Māori were maintained in the five-year period, with Māori being more likely to be diagnosed with schizophrenia (51% vs. 35%), and non-Māori with bipolar disorder (28% vs. 18%). Stability of diagnosis was similar (schizophrenia 75% Māori vs. 67% non-Maori; bipolar disorder 55% Māori vs. 48% non-Māori) and those with no stable diagnosis at FEP were most likely to move towards a schizophrenia disorder diagnosis in both groups. Māori had a lower rate of diagnosed co-morbid affective and anxiety symptoms and higher rates of continued face to face contact and inpatient admission across all diagnoses. CONCLUSIONS Indigenous differences in schizophrenia and affective psychosis diagnoses could be related to differential exposure to socio-environmental risk or assessor bias. The lower rate of co-morbid affective and anxiety disorders indicates a potential under-appreciation of affective symptoms in Māori youth with first episode psychosis.
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Affiliation(s)
- Gawen Carr
- Capital and Coast District Health Board, Wellington, New Zealand
- Department of Public Health, University of Otago Wellington, Wellington, New Zealand
| | - Ruth Cunningham
- Department of Public Health, University of Otago Wellington, Wellington, New Zealand
| | - Frederieke S Petrović-van der Deen
- Department of Public Health, University of Otago Wellington, Wellington, New Zealand
- Department of Māori/Indigenous Health Innovation (MIHI), University of Otago Christchurch, Christchurch, New Zealand
| | - Jenni Manuel
- Department of Māori/Indigenous Health Innovation (MIHI), University of Otago Christchurch, Christchurch, New Zealand
| | - Sheree Gibb
- Department of Public Health, University of Otago Wellington, Wellington, New Zealand
| | - Richard J Porter
- Department of Psychological Medicine, University of Otago Christchurch, Christchurch, New Zealand
- Canterbury District Health Board, Christchurch, New Zealand
| | - Suzanne Pitama
- Department of Māori/Indigenous Health Innovation (MIHI), University of Otago Christchurch, Christchurch, New Zealand
| | - Marie Crowe
- Department of Psychological Medicine, University of Otago Christchurch, Christchurch, New Zealand
| | - Sue Crengle
- Department of Preventive and Social Medicine, University of Otago, Dunedin School of Medicine, Dunedin, New Zealand
| | - Cameron Lacey
- Department of Māori/Indigenous Health Innovation (MIHI), University of Otago Christchurch, Christchurch, New Zealand
- Department of Psychological Medicine, University of Otago Christchurch, Christchurch, New Zealand
- Canterbury District Health Board, Christchurch, New Zealand
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27
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Florentin S, Reuveni I, Rosca P, Zwi-Ran SR, Neumark Y. Schizophrenia or schizoaffective disorder? A 50-year assessment of diagnostic stability based on a national case registry. Schizophr Res 2023; 252:110-117. [PMID: 36640744 DOI: 10.1016/j.schres.2023.01.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 01/15/2023]
Abstract
BACKGROUND Schizoaffective disorder (SAD) remains a controversial diagnosis in terms of necessity and reliability. OBJECTIVES We assessed diagnostic patterns of SAD and schizophrenia (SZ) among hospitalized psychiatric patients over a fifty-year period. METHOD Data from the Israeli National Psychiatric Registry on 16,341 adults diagnosed with SZ or SAD, hospitalized at least twice in 1963-2017, were analyzed. Stability between most-frequent, first and last diagnosis, and diagnostic-constancy (the same diagnosis in >75 % of a person's hospitalizations) were calculated. Three groups were compared: People with both SAD and SZ diagnoses over the years (SZ-SAD), and people with only one of these diagnoses (SZ-only; SAD-only). The incidence of SAD and SZ before and after DSM-5 publication was compared. RESULTS Reliability between last and first diagnosis was 60 % for SAD and 94 % for SZ. Agreement between first and most-frequent diagnosis was 86 % for SAD and 92 % for SZ. Diagnostic shifts differ between persons with SAD and with SZ. Diagnostic-constancy was observed for 50 % of SAD-only patients. In the SZ-SAD group, 9 % had a constant SAD diagnosis. Compared to the other groups, the SZ-SAD group exhibited a higher substance use prevalence, younger age at first-hospitalization, and more hospitalizations/person (p < 0.0001). The incidence of a first-hospitalization SAD diagnosis increased by 2.2 % in the 4-years after vs. prior to DSM-5. CONCLUSIONS A SAD diagnosis is less stable than SZ. The incidence of a SAD diagnosis increased after DSM-5, despite stricter diagnostic criteria. The SZ-SAD group exhibited the poorest outcomes. SAD may evolve over time necessitating periodic re-evaluation.
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Affiliation(s)
- Sharon Florentin
- Department of Psychiatry, Hadassah Medical Center, Jerusalem 9103401, Israel; Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Inbal Reuveni
- Department of Psychiatry, Hadassah Medical Center, Jerusalem 9103401, Israel; Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Paola Rosca
- Department for the Treatment of Substance Abuse, Mental Health Division, Ministry of Health, Jerusalem, Israel; The Hebrew University of Jerusalem, Israel.
| | - Shlomo Rahmani Zwi-Ran
- Department of Psychiatry, Hadassah Medical Center, Jerusalem 9103401, Israel; Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Yehuda Neumark
- Braun School of Public Health & Community Medicine, The Hebrew University of Jerusalem 9112102, Israel.
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28
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Widing L, Simonsen C, Bjella T, Engen MJ, Flaaten CB, Gardsjord E, Haatveit B, Haug E, Lyngstad SH, Svendsen IH, Vik RK, Wold KF, Åsbø G, Ueland T, Melle I. Long-term Outcomes of People With DSM Psychotic Disorder NOS. SCHIZOPHRENIA BULLETIN OPEN 2023; 4:sgad005. [PMID: 39145337 PMCID: PMC11207683 DOI: 10.1093/schizbullopen/sgad005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Introduction The Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV diagnostic category "Psychotic disorder not otherwise specified" (PNOS) is seldom investigated, and we lack knowledge about long-term outcomes. We examined long-term symptom severity, global functioning, remission/recovery rates, and diagnostic stability after the first treatment for PNOS. Methods Participants with first-treatment PNOS (n = 32) were reassessed with structured interviews after 7 to 10 years. The sample also included narrow schizophrenia spectrum disorders (SSD, n = 94) and psychotic bipolar disorders (PBD, n = 54). Symptomatic remission was defined based on the Remission in Schizophrenia Working Group criteria. Clinical recovery was defined as meeting the criteria for symptomatic remission and having adequate functioning for the last 12 months. Results Participants with baseline PNOS or PBD had lower symptom severity and better global functioning at follow-up than those with SSD. More participants with PNOS and PBD were in symptomatic remission and clinical recovery compared to participants with SSD. Seventeen (53%) PNOS participants retained the diagnosis, while 15 participants were diagnosed with either SSD (22%), affective disorders (19%), or substance-induced psychotic disorders (6%). Those rediagnosed with SSD did not differ from the other PNOS participants regarding baseline clinical characteristics. Conclusions Long-term outcomes are more favorable in PNOS and PBD than in SSD. Our findings confirm diagnostic instability but also stability for a subgroup of participants with PNOS. However, it is challenging to predict diagnostic outcomes of PNOS based on clinical characteristics at first treatment.
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Affiliation(s)
- Line Widing
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Carmen Simonsen
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Thomas Bjella
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Magnus Johan Engen
- Nydalen District Psychiatric Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Camilla Bärthel Flaaten
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Erlend Gardsjord
- Unit for Early Intervention in Psychosis, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Beathe Haatveit
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Elisabeth Haug
- Division of Mental Health, Department of Child and Adolescent Psychiatry, Innlandet Hospital Trust, Gjøvik, Norway
| | - Siv Hege Lyngstad
- Nydalen District Psychiatric Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Ruth Kristine Vik
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Kristin Fjelnseth Wold
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Gina Åsbø
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Torill Ueland
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
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29
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Li L, Rami FZ, Piao YH, Lee BM, Kim WS, Sui J, Kim SW, Lee BJ, Kim JJ, Yu JC, Lee KY, Won SH, Lee SH, Kim SH, Kang SH, Kim E, Chung YC. Comparison of clinical features and 1-year outcomes between patients with psychotic disorder not otherwise specified and those with schizophrenia. Early Interv Psychiatry 2022; 16:1309-1318. [PMID: 35128804 DOI: 10.1111/eip.13276] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/07/2021] [Accepted: 01/18/2022] [Indexed: 01/15/2023]
Abstract
AIM Research on psychotic disorder not otherwise specified (PNOS) that clearly mentions its subgroups is very rare. This study was conducted to identify the demographic and clinical features, cognitive function, and 1-year outcomes of patients with early stage PNOS compared with those with early stage schizophrenia (SZ). METHODS The study subjects were 54 and 321 patients with PNOS and SZ, respectively, who were registered at least more than 1 year ago. Due to drop out, only 37 and 210 patients with PNOS and SZ were evaluated at the 1-year follow-up. We compared clinical variables (duration of untreated psychosis, symptom severity, self-rating scales, and so on), cognitive function, and short-term outcomes (treatment response, remission, compliance, drop out, relapse) between the two groups. RESULTS The patients with PNOS were associated with higher diagnostic stability (53.7%) compared with those in previous studies. They had lower symptom severity, better treatment response at 2 months and higher remission rates at 12 months, but poorer compliance at 6 months compared with patients with SZ. Level of cognitive impairment in PNOS was intermediate between those of SZ patients and healthy controls. CONCLUSIONS These findings indicate that PNOS has unique clinical features, suggesting that it should be treated as a distinct clinical syndrome. At the same time, however, prevention of its possible progression to other psychotic disorders in some patients with PNOS is also important.
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Affiliation(s)
- Ling Li
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Fatima Zahra Rami
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Yan Hong Piao
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Bo Mi Lee
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Woo-Sung Kim
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Bong Ju Lee
- Department of Psychiatry, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Jung Jin Kim
- Department of Psychiatry, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea
| | - Je-Chun Yu
- Department of Psychiatry, Eulji University School of Medicine, Eulji University Hospital, Daejeon, Republic of Korea
| | - Kyu Young Lee
- Department of Psychiatry, Eulji University School of Medicine, Eulji General Hospital, Seoul, Republic of Korea
| | - Seung-Hee Won
- Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Republic of Korea
| | - Seung-Hwan Lee
- Department of Psychiatry, Inje University College of Medicine, Goyang, Republic of Korea
| | - Seung-Hyun Kim
- Department of Psychiatry, Korea University College of Medicine, Guro Hospital, Seoul, Republic of Korea
| | - Shi Hyun Kang
- Department of Social Psychiatry and Rehabilitation, National Center for Mental Health, Seoul, Republic of Korea
| | - Euitae Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Young Chul Chung
- Department of Psychiatry, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
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30
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Smart SE, Agbedjro D, Pardiñas AF, Ajnakina O, Alameda L, Andreassen OA, Barnes TRE, Berardi D, Camporesi S, Cleusix M, Conus P, Crespo-Facorro B, D'Andrea G, Demjaha A, Di Forti M, Do K, Doody G, Eap CB, Ferchiou A, Guidi L, Homman L, Jenni R, Joyce E, Kassoumeri L, Lastrina O, Melle I, Morgan C, O'Neill FA, Pignon B, Restellini R, Richard JR, Simonsen C, Španiel F, Szöke A, Tarricone I, Tortelli A, Üçok A, Vázquez-Bourgon J, Murray RM, Walters JTR, Stahl D, MacCabe JH. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium. Schizophr Res 2022; 250:1-9. [PMID: 36242784 PMCID: PMC9834064 DOI: 10.1016/j.schres.2022.09.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 08/03/2022] [Accepted: 09/04/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. METHODS We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. RESULTS Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). IMPLICATIONS Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR.
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Affiliation(s)
- Sophie E Smart
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Deborah Agbedjro
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Olesya Ajnakina
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain; Department of Psychiatry, Hospital Universitario Virgen del Rocio, IBiS, Universidad de Sevilla, Spain; TIPP (Treatment and Early Intervention in Psychosis Program), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Domenico Berardi
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Sara Camporesi
- TIPP (Treatment and Early Intervention in Psychosis Program), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland; Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Martine Cleusix
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Philippe Conus
- TIPP (Treatment and Early Intervention in Psychosis Program), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Benedicto Crespo-Facorro
- Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain; Department of Psychiatry, Hospital Universitario Virgen del Rocio, IBiS, Universidad de Sevilla, Spain
| | - Giuseppe D'Andrea
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Arsime Demjaha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- Social Genetics and Developmental Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Kim Do
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Gillian Doody
- Department of Medical Education, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Chin B Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland; School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland; Center for Research and Innovation in Clinical Pharmaceutical Sciences, University of Lausanne, Switzerland; Institute of Pharmaceutical Sciences of Western, Switzerland, University of Geneva, University of Lausanne
| | - Aziz Ferchiou
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Lorenzo Guidi
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Lina Homman
- Disability Research Division (FuSa), Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
| | - Raoul Jenni
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Eileen Joyce
- Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Laura Kassoumeri
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ornella Lastrina
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Craig Morgan
- Health Service and Population Research, King's College London, London, UK; Centre for Society and Mental Health, King's College London, London, UK
| | - Francis A O'Neill
- Centre for Public Health, Institute of Clinical Sciences, Queens University Belfast, Belfast, UK
| | - Baptiste Pignon
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Romeo Restellini
- TIPP (Treatment and Early Intervention in Psychosis Program), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland; Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Jean-Romain Richard
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France
| | - Carmen Simonsen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Early Intervention in Psychosis Advisory Unit for South East Norway (TIPS Sør-Øst), Division of Mental Health and Addiction, Oslo University Hospital, Norway
| | - Filip Španiel
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia; Department of Psychiatry and Medical Psychology, Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Andrei Szöke
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Ilaria Tarricone
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Andrea Tortelli
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; Groupe Hospitalier Universitaire Psychiatrie Neurosciences Paris, Pôle Psychiatrie Précarité, Paris, France
| | - Alp Üçok
- Istanbul University, Istanbul Faculty of Medicine, Department of Psychiatry, Istanbul, Turkey
| | - Javier Vázquez-Bourgon
- Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain; Department of Psychiatry, University Hospital Marques de Valdecilla - Instituto de Investigación Marques de Valdecilla (IDIVAL), Santander, Spain; Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Daniel Stahl
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
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Griffiths SL, Lalousis PA, Wood SJ, Upthegrove R. Heterogeneity in treatment outcomes and incomplete recovery in first episode psychosis: does one size fit all? Transl Psychiatry 2022; 12:485. [PMID: 36396628 PMCID: PMC9671914 DOI: 10.1038/s41398-022-02256-7] [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: 06/25/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/18/2022] Open
Abstract
The heterogeneity in recovery outcomes for individuals with First Episode Psychosis (FEP) calls for a strong evidence base to inform practice at an individual level. Between 19-89% of young people with FEP have an incomplete recovery despite gold-standard evidence-based treatments, suggesting current service models, which adopt a 'one-size fits all' approach, may not be addressing the needs of many young people with psychosis. The lack of consistent terminology to define key concepts such as recovery and treatment resistance, the multidimensional nature of these concepts, and common comorbid symptoms are some of the challenges faced by the field in delineating heterogeneity in recovery outcomes. The lack of robust markers for incomplete recovery also results in potential delay in delivering prompt, and effective treatments to individuals at greatest risk. There is a clear need to adopt a stratified approach to care where interventions are targeted at subgroups of patients, and ultimately at the individual level. Novel machine learning, using large, representative data from a range of modalities, may aid in the parsing of heterogeneity, and provide greater precision and sophistication in identifying those on a pathway to incomplete recovery.
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Affiliation(s)
- Siân Lowri Griffiths
- Institute for Mental Health, University of Birmingham, Birmingham, UK. .,Centre for Human Brain Health, University of Birmingham, Birmingham, UK.
| | - Paris Alexandros Lalousis
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,grid.6572.60000 0004 1936 7486Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Stephen J. Wood
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,grid.488501.00000 0004 8032 6923Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, VIC Australia ,grid.1008.90000 0001 2179 088XCentre for Youth Mental Health, The University of Melbourne, Parkville, VIC Australia
| | - Rachel Upthegrove
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,grid.6572.60000 0004 1936 7486Centre for Human Brain Health, University of Birmingham, Birmingham, UK ,grid.498025.20000 0004 0376 6175Birmingham Early Interventions Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
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Cerqueira RO, Ziebold C, Cavalcante D, Oliveira G, Vásquez J, Undurraga J, González-Valderrama A, Nachar R, Lopez-Jaramillo C, Noto C, Crossley N, Gadelha A. Differences of affective and non-affective psychoses in early intervention services from Latin America. J Affect Disord 2022; 316:83-90. [PMID: 35961602 DOI: 10.1016/j.jad.2022.08.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 06/29/2022] [Accepted: 08/06/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Psychosis presentation can be affected by genetic and environmental factors. Differentiating between affective and non-affective psychosis (A-FEP and NA-FEP, respectively) may influence treatment decisions and clinical outcomes. The objective of this paper is to examine differences between patients with A-FEP or NA-FEP in a Latin American sample. METHODS Patients from two cohorts of patients with a FEP recruited from Brazil and Chile. Subjects included were aged between 15 and 30 years, with an A-FEP or NA-FEP (schizophrenia-spectrum disorders) according to DSM-IV-TR. Sociodemographic data, duration of untreated psychosis and psychotic/mood symptoms were assessed. Generalized estimating equation models were used to assess clinical changes between baseline-follow-up according to diagnosis status. RESULTS A total of 265 subjects were included. Most of the subjects were male (70.9 %), mean age was 21.36 years. A-FEP and NA-FEP groups were similar in almost all sociodemographic variables, but A-FEP patients had a higher probability of being female. At baseline, the A-FEP group had more manic symptoms and a steeper reduction in manic symptoms scores during the follow- up. The NA-FEP group had more negative symptoms at baseline and a higher improvement during follow-up. All domains of The Positive and Negative Syndrome Scale improved for both groups. No difference for DUP and depression z-scores at baseline and follow-up. LIMITATIONS The sample was recruited at tertiary hospitals, which may bias the sample towards more severe cases. CONCLUSIONS This is the largest cohort comparing A-FEP and NA-FEP in Latin America. We found that features in FEP patients could be used to improve diagnosis and support treatment decisions.
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Affiliation(s)
- Raphael O Cerqueira
- Laboratory of Integrative Neuroscience (LiNC), Federal University of Sao Paulo (UNIFESP), Brazil
| | - Carolina Ziebold
- Laboratory of Integrative Neuroscience (LiNC), Federal University of Sao Paulo (UNIFESP), Brazil
| | - Daniel Cavalcante
- Laboratory of Integrative Neuroscience (LiNC), Federal University of Sao Paulo (UNIFESP), Brazil; Early Psychosis Group (GAPi), Federal University of Sao Paulo (UNIFESP), Brazil
| | - Giovany Oliveira
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Javiera Vásquez
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Juan Undurraga
- Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile; Department of Neurology and Psychiatry, Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | | | - Ruben Nachar
- Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile
| | | | - Cristiano Noto
- Laboratory of Integrative Neuroscience (LiNC), Federal University of Sao Paulo (UNIFESP), Brazil; Early Psychosis Group (GAPi), Federal University of Sao Paulo (UNIFESP), Brazil
| | - Nicolas Crossley
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Ary Gadelha
- Laboratory of Integrative Neuroscience (LiNC), Federal University of Sao Paulo (UNIFESP), Brazil; Early Psychosis Group (GAPi), Federal University of Sao Paulo (UNIFESP), Brazil.
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Castagnini A, Foldager L, Caffo E, Berrios GE. The predictive validity and outcome of ICD-10 and DSM-5 short-lived psychotic disorders: a review and meta-analysis. Eur Arch Psychiatry Clin Neurosci 2022; 272:1157-1168. [PMID: 34988647 DOI: 10.1007/s00406-021-01356-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 11/08/2021] [Indexed: 11/30/2022]
Abstract
The ICD-10 Classification of Mental and Behavioural Disorders introduced the category of 'acute and transient psychotic disorders' (ATPDs) encompassing polymorphic, schizophrenic and predominantly delusional subtypes, and the forthcoming ICD-11 revision has restricted it to polymorphic psychotic disorder, while the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) listed 'brief psychotic disorder' (BPD). To assess the predictive validity and outcome of ATPDs and BPD, relevant papers in English, French and German were searched in PubMed and Web of Science. Where possible meta-analysis of prognostic validators (diagnostic stability, course, outcome and response to treatment) was conducted. Fifty studies published between January 1993 and July 2019 were found. The clinical and functional outcome of ATPDs proved better than in schizophrenia and related disorders, but mortality risk is high, particularly suicide, and treatment trials provide little evidence. Meta-analysis of 25 studies (13,507 cases) revealed that 55% (95% CI 49-62) do not change diagnosis, 25% (95% CI 20-31) converted into schizophrenia and related disorders, and 12% (95% CI 7-16) into affective disorders on average over 6.3 years. Subgroup meta-analysis estimated prospective consistency of polymorphic psychotic disorder (55%; 95% CI 52-58) significantly greater than that of the ATPD subtypes with schizophrenic (OR 1.7; 95% CI 1.4-2.0) and predominantly delusional (OR 1.3; 95% CI 1.1-1.5) symptoms. Moreover, the diagnostic stability of BPD (13 studies; 294 cases) was 45% (95% CI 32-50) over a mean 4.2 years. Although these findings indicate that short-lived psychotic disorders have little predictive validity, significant differences among the ATPD subtypes support the revised ICD-11 ATPD category.
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Affiliation(s)
- Augusto Castagnini
- School of Child Neuropsychiatry, University of Modena and Reggio Emilia, Modena, Italy.
| | - Leslie Foldager
- Health Research Unit, Department of Animal Science, Aarhus University, Tjele, Denmark.,Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Ernesto Caffo
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - German E Berrios
- Department of Psychiatry and Robinson College, University of Cambridge, Cambridge, UK
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Inchausti L, Gorostiza I, Gonzalez Torres MA, Oraa R. Diagnostic stability in substance-induced psychosis. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2022; 15:272-280. [PMID: 36400700 DOI: 10.1016/j.rpsmen.2019.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 10/11/2019] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Substance-induced psychosis (SIP) is the name given to a psychosis that starts in the context of substance abuse but persists for days and weeks with no substance use. There is as yet little knowledge about the longitudinal course of this psychosis, which suggests that significant numbers go on to be diagnosed with a severe mental disorder (SMD). The objective of this study was to analyse the progression of SIP to SMD in our environment and the possible factors that may be involved in that conversion. MATERIAL AND METHODS We used a retrospective cohort follow-up design. We reviewed all diagnoses of patients discharged from the psychiatric hospitalisation unit of the University Hospital of Basurto from January 2002 to December 2015 inclusively. In addition to sociodemographic and clinical data, information was collected on the consumption of cannabinoids, opioids, amphetamines, cocaine and alcohol. The data were analysed using descriptive analysis, Kaplan-Meier survival curves and Cox regression. RESULTS Of the 116 patients, 78.4% were male, had an average age of 33.0 (SD = 8.9) years and 44.0% were single; 31.0% had a psychiatric family history; the most commonly used substance was cannabis (60.3%), followed by cocaine (40.5%). The cumulative risk of diagnostic conversion to an SMD in 16 years was 41.6% (95%CI: 32.2-52.2) over a mean 36.43 months. CONCLUSIONS In interventions in episodes of SIP we must bear in mind that a significant proportion will progress to an SMD in the first three years.
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Affiliation(s)
- Lucía Inchausti
- Departamento de Neurociencias, Universidad del País Vasco-Euskal Herriko Unibertsitatea, Leioa, Vizcaya, Spain.
| | - Iñigo Gorostiza
- Unidad de Investigación, Hospital Universitario Basurto, Bilbao, Spain; REDISSEC
| | - Miguel Angel Gonzalez Torres
- Departamento de Neurociencias, Universidad del País Vasco-Euskal Herriko Unibertsitatea, Leioa, Vizcaya, Spain; Departamento de Psiquiatría, Hospital Universitario Basurto, Bilbao, Spain; Salud Mental, Biocruces Health Research Institute, Barakaldo, Vizcaya, Spain
| | - Rodrigo Oraa
- Salud Mental, Biocruces Health Research Institute, Barakaldo, Vizcaya, Spain; CSM Adicciones J. Ajuriaguerra - Hospital de Día Manuene, Red Salud Mental Bizkaia, Bilbao, Spain
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van der Zeijst MCE, Veling W, Makhathini EM, Mbatha ND, Shabalala SS, van Hoeken D, Susser E, Burns JK, Hoek HW. Course of psychotic experiences and disorders among apprentice traditional health practitioners in rural South Africa: 3-year follow-up study. Front Psychiatry 2022; 13:956003. [PMID: 36245859 PMCID: PMC9558832 DOI: 10.3389/fpsyt.2022.956003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 09/07/2022] [Indexed: 11/13/2022] Open
Abstract
Background Culture is inevitably linked with the experience, interpretation and course of what modern biomedicine understands to be psychotic symptoms. However, data on psychoses in low- and middle-income countries are sparse. Our previous study showed that psychotic and mood-related experiences, symptoms and disorders are common among individuals who had received the ancestral calling to become a traditional health practitioner (THP) in rural KwaZulu-Natal, South Africa. Our related ethnographic study suggested that ukuthwasa (the training to become a THP) may positively moderate these calling-related symptoms. As far as we know, no research has been conducted into the course of psychiatric symptoms among apprentice THPs. Objective We studied the course of psychotic experiences, symptoms and disorders among apprentice THPs. We also assessed their level of functioning and expanded our knowledge on ukuthwasa. Materials and methods We performed a 3-year follow-up of a baseline sample of apprentice THPs (n = 48). Psychiatric assessments (CAPE, SCAN), assessment of functioning (WHODAS) and a semi-structured qualitative questionnaire were completed for 42 individuals. Results At 3-year follow-up, psychotic experiences were associated with significantly less distress and there was a reduction in frequency of psychotic symptoms compared to baseline. The number of participants with psychotic disorders had decreased from 7 (17%) to 4 (10%). Six out of seven participants (86%) with a psychotic disorder at baseline no longer had a psychiatric diagnosis at follow-up. Although the mean level of disability among the (apprentice) THPs corresponded with the 78th percentile found in the general population, 37 participants (88%) reported no or mild disability. Forty-one participants (98%) reported that ukuthwasa had positively influenced their psychiatric symptoms. Conclusion In rural KwaZulu-Natal, psychotic experiences, symptoms and disorders have a benign course in most individuals who are undergoing the process of becoming a THP. Ukuthwasa may be an effective, culturally sanctioned, healing intervention for some selected individuals, potentially because it reframes distressing experiences into positive and highly valued experiences, reduces stigma, and enhances social empowerment and identity construction. This implies that cultural and spiritual interventions can have a positive influence on the course of psychosis.
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Affiliation(s)
| | - Wim Veling
- Department of Psychiatry, University Medical Center Groningen, Groningen, Netherlands
| | - Elliot M. Makhathini
- Department of Nursing, Durban University of Technology, Pietermaritzburg, South Africa
- Department of Psychiatry, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Ndukuzakhe D. Mbatha
- Department of Psychiatry, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Sinethemba S. Shabalala
- Department of Psychiatry, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | | | - Ezra Susser
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
- New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States
| | - Jonathan K. Burns
- Department of Psychiatry, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Institute of Health Research, University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
| | - Hans W. Hoek
- Parnassia Psychiatric Institute, The Hague, Netherlands
- Department of Psychiatry, University Medical Center Groningen, Groningen, Netherlands
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
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Validation of a novel Psychosis-Implicit Association Test (P-IAT) as a diagnostic support tool. Psychiatry Res 2022; 314:114647. [PMID: 35660967 DOI: 10.1016/j.psychres.2022.114647] [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: 02/27/2022] [Revised: 05/17/2022] [Accepted: 05/19/2022] [Indexed: 11/21/2022]
Abstract
Despite significant advances in early-intervention services for psychosis, delays in identifying patients continue to impede the delivery of prompt and effective treatments. We sought to develop and preliminarily validate a self-administered psychosis implicit association task (P-IAT) as a screening and diagnostic support tool for identifying individuals with psychotic illness in community settings. The P-IAT is a response latency task, designed to measure the extent to which individuals implicitly associate psychosis-related terms with the "self." The P-IAT was administered to 57 participants across 3 groups: healthy controls (N=19), inpatients hospitalized with active psychosis (N=19), and outpatients with psychotic disorders (N=19). Mean D-scores (the output of the task) differed significantly between the illness groups and healthy controls (Mann-Whitney U=138, p<.001). A receiver operating curve was plotted to assess the performance of D-scores in predicting a psychosis diagnosis, yielding an area under the curve of 0.81. When participant D-scores exceeded -0.24, the test achieved a specificity of 100% (sensitivity: 47%), with all 18 participants scoring above this threshold belonging to the illness groups. The discriminant performance of the P-IAT suggests its potential to augment existing screening instruments and inform referral decision making, particularly in settings with limited access to specialist providers.
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Gibbons RD, Chattopadhyay I, Meltzer HY, Kane JM, Guinart D. Development of a computerized adaptive diagnostic screening tool for psychosis. Schizophr Res 2022; 245:116-121. [PMID: 33836922 PMCID: PMC8492780 DOI: 10.1016/j.schres.2021.03.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 03/25/2021] [Accepted: 03/27/2021] [Indexed: 11/27/2022]
Abstract
We develop a two-stage diagnostic classification system for psychotic disorders using an extremely randomized trees machine learning algorithm. Item bank was developed from clinician-rated items drawn from an inpatient and outpatient sample. In stage 1, we differentiate schizophrenia and schizoaffective disorder from depression and bipolar disorder (with psychosis). In stage 2 we differentiate schizophrenia from schizoaffective disorder. Out of sample classification accuracy, determined by area under the receiver operator characteristic (ROC) curve, was outstanding for stage 1 (Area under the ROC curve (AUC) = 0.93, 95% confidence interval (CI) = 0.89, 0.94), and excellent for stage 2 (AUC = 0.86, 95% CI = 0.83, 0.88). This is achieved based on an average of 5 items for stage 1 and an average of 6 items for stage 2, out of a bank of 73 previously validated items.
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Affiliation(s)
- Robert D Gibbons
- Center for Health Statistics, Department of Medicine, the Committee on Quantitative Methods, University of Chicago, Chicago, IL, USA; Departments of Public Health Sciences (Biostatistics), Psychiatry, Comparative Human Development, University of Chicago, Chicago, IL, USA.
| | - Ishanu Chattopadhyay
- Center for Health Statistics, Department of Medicine, the Committee on Quantitative Methods, University of Chicago, Chicago, IL, USA
| | | | - John M Kane
- The Zucker Hillside Hospital, Department of Psychiatry Research, New York, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA; The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Daniel Guinart
- The Zucker Hillside Hospital, Department of Psychiatry Research, New York, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA; The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
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Verdolini N, Borràs R, Sparacino G, Garriga M, Sagué‐Vilavella M, Madero S, Palacios‐Garrán R, Serra M, Forte MF, Salagre E, Aedo A, Salgado‐Pineda P, Salvatierra IM, Sánchez Gistau V, Pomarol‐Clotet E, Ramos‐Quiroga JA, Carvalho AF, Garcia‐Rizo C, Undurraga J, Reinares M, Martinez Aran A, Bernardo M, Vieta E, Pacchiarotti I, Amoretti S. Prodromal phase: Differences in prodromal symptoms, risk factors and markers of vulnerability in first episode mania versus first episode psychosis with onset in late adolescence or adulthood. Acta Psychiatr Scand 2022; 146:36-50. [PMID: 35170748 PMCID: PMC9305219 DOI: 10.1111/acps.13415] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/29/2022] [Accepted: 02/13/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study was aimed at identifying differences in the prodromal symptoms and their duration, risk factors and markers of vulnerability in patients presenting a first episode mania (FEM) or psychosis (FEP) with onset in late adolescence or adulthood in order to guide tailored treatment strategies. METHODS Patients with a FEM or FEP underwent a clinical assessment. Prodromes were evaluated with the Bipolar Prodrome Symptom Scale-Retrospective (BPSS-R). Chi-squared tests were conducted to assess specific prodromal symptoms, risk factors or markers of vulnerability between groups. Significant prodromal symptoms were entered in a stepwise forward logistic regression model. The probabilities of a gradual versus rapid onset pattern of the prodromes were computed with logistic regression models. RESULTS The total sample included 108 patients (FEM = 72, FEP = 36). Social isolation was associated with the prodromal stage of a FEP whilst Increased energy or goal-directed activity with the prodrome to a FEM. Physically slowed down presented the most gradual onset whilst Increased energy presented the most rapid. The presence of obstetric complications and difficulties in writing and reading during childhood were risk factors for FEP. As for markers of vulnerability, impairment in premorbid adjustment was characteristic of FEP patients. No specific risk factor or marker of vulnerability was identified for FEM. CONCLUSION Early characteristics differentiating FEP from FEM were identified. These findings might help shape early identification and preventive intervention programmes.
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Affiliation(s)
- Norma Verdolini
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain
| | - Roger Borràs
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain
| | - Giulio Sparacino
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Department of Health SciencesUniversità degli Studi di MilanoMilanItaly
| | - Marina Garriga
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain
| | - Maria Sagué‐Vilavella
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain
| | - Santiago Madero
- Barcelona Clinic Schizophrenia UnitInstitute of NeurosciencesUniversity of BarcelonaIDIBAPSBarcelonaSpain
| | - Roberto Palacios‐Garrán
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,University Hospital Santa MariaUniversity of LleidaLleidaSpain
| | - Maria Serra
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain
| | - Maria Florencia Forte
- Barcelona Clinic Schizophrenia UnitInstitute of NeurosciencesUniversity of BarcelonaIDIBAPSBarcelonaSpain
| | - Estela Salagre
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain
| | - Alberto Aedo
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Bipolar Disorders UnitDepartment of PsychiatrySchool of MedicinePontificia Universidad Católica de ChileSantiagoChile
| | - Pilar Salgado‐Pineda
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain,FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
| | - Irene Montoro Salvatierra
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain,Hospital Universitari Institut Pere MataInstitut d'Investigació Sanitària Pere Virgili (IISPV)Universitat Rovira i VirgiliReusSpain
| | - Vanessa Sánchez Gistau
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain,Hospital Universitari Institut Pere MataInstitut d'Investigació Sanitària Pere Virgili (IISPV)Universitat Rovira i VirgiliReusSpain
| | - Edith Pomarol‐Clotet
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain,FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
| | - Josep Antoni Ramos‐Quiroga
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain,Group of PsychiatryMental Health and AddictionsVall d’Hebron Research Institute (VHIR)BarcelonaSpain,Psychiatric Genetics UnitVall d’Hebron Research Institute (VHIR)BarcelonaSpain,Department of Psychiatry and Legal MedicineUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Andre F. Carvalho
- The IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research CentreSchool of MedicineBarwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Clemente Garcia‐Rizo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain,Barcelona Clinic Schizophrenia UnitInstitute of NeurosciencesUniversity of BarcelonaIDIBAPSBarcelonaSpain
| | - Juan Undurraga
- Department of Neurology and PsychiatryFaculty of MedicineClinica Alemana Universidad del DesarrolloSantiagoChile,Early Intervention ProgramInstituto Psiquiátrico Dr. J. Horwitz BarakSantiagoChile
| | - María Reinares
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain
| | - Anabel Martinez Aran
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain
| | - Miguel Bernardo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain,Barcelona Clinic Schizophrenia UnitInstitute of NeurosciencesUniversity of BarcelonaIDIBAPSBarcelonaSpain
| | - Eduard Vieta
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain
| | - Isabella Pacchiarotti
- Bipolar and Depressive Disorders UnitInstitute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSBarcelonaSpain,Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain
| | - Silvia Amoretti
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)BarcelonaSpain,Group of PsychiatryMental Health and AddictionsVall d’Hebron Research Institute (VHIR)BarcelonaSpain,Psychiatric Genetics UnitVall d’Hebron Research Institute (VHIR)BarcelonaSpain,Department of Psychiatry and Legal MedicineUniversitat Autònoma de BarcelonaBarcelonaSpain
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Differentiating autoimmune encephalitis from schizophrenia spectrum disorders among patients with first-episode psychosis. J Psychiatr Res 2022; 151:419-426. [PMID: 35597225 DOI: 10.1016/j.jpsychires.2022.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/29/2022] [Accepted: 05/09/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Although differential diagnosis between autoimmune encephalitis and schizophrenia spectrum disorders is crucial for a good outcome, the psychiatric symptoms that distinguish these two conditions have not been identified even though psychiatric symptoms are often the main manifestation of autoimmune encephalitis. Also, there are many situations in clinical psychiatry in which laboratory testing and imaging studies are not available. Because no comparative study of the psychiatric symptoms between these two conditions has been carried out, we explored diagnostically useful psychiatric symptoms in a retrospective case-control study. METHODS We recruited 187 inpatients with first-episode psychosis who were admitted to our psychiatric unit and categorized them into two groups: the autoimmune encephalitis group (n = 10) and the schizophrenia spectrum disorders group (n = 177). Differences in the symptoms and signs between the two groups were investigated. RESULTS Schneider's first-rank symptoms (e.g., verbal commenting hallucinations and delusional self-experience) were observed only in the schizophrenia spectrum disorders group, whereas altered perception was found more frequently in the autoimmune encephalitis group. Functional status was worse in the autoimmune encephalitis group, and neurological and neuropsychological signs were revealed almost exclusively in this group. A history of mental illness was more frequently reported in the schizophrenia spectrum disorders group than in the autoimmune encephalitis group. CONCLUSIONS The psychiatric symptoms, i.e., Schneider's first-rank symptoms and altered perception, together with neurological and neuropsychological signs, functional status, and past history, may help clinicians accurately differentiate these two conditions among patients with first-episode psychosis.
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Palomar-Ciria N, Cegla-Schvartzman F, Bello HJ, Martínez-Alés G, Migoya-Borja M, Baca-García E. Diagnostic stability of schizophrenia in clinical settings: An observational study of 198,289 patient/years. Schizophr Res 2022; 244:81-83. [PMID: 35643038 DOI: 10.1016/j.schres.2022.05.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/02/2022] [Accepted: 05/18/2022] [Indexed: 11/17/2022]
Affiliation(s)
| | | | - Hugo J Bello
- Department of Applied Mathematics, Universidad de Valladolid, Soria, Spain
| | - Gonzalo Martínez-Alés
- Department of Epidemiology, Columbia Mailman School of Public Health, New York, NY, USA; CAUSALab, Harvard T. H. School of Public Health, Boston, MA, USA; CIBERSAM (Centro de Investigación en Salud Mental), Carlos III Institute of Health, Madrid, Spain; IdiPAZ (Instituto de Investigación Hospital La Paz), Madrid, Spain
| | - Marta Migoya-Borja
- Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
| | - Enrique Baca-García
- Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain; CIBERSAM (Centro de Investigación en Salud Mental), Carlos III Institute of Health, Madrid, Spain; Department of Psychiatry, Universidad Autónoma, Madrid, Spain; Department of Psychiatry, Hospital Universitario Rey Juan Carlos, Móstoles, Spain; Department of Psychiatry, Hospital General de Villalba, Madrid, Spain; Department of Psychiatry, Hospital Universitario Infanta Elena, Valdemoro, Spain; Universidad Católica del Maule, Talca, Chile; Department of Psychiatry, Nimes University Hospital, Nimes, France.
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Petrikis P, Karampas A, Leondaritis G, Markozannes G, Archimandriti DT, Spyrou P, Georgiou G, Skapinakis P, Voulgari PV. Adiponectin, leptin and resistin levels in first-episode, drug-naïve patients with psychosis before and after short-term antipsychotic treatment. J Psychosom Res 2022; 157:110789. [PMID: 35344816 DOI: 10.1016/j.jpsychores.2022.110789] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 03/04/2022] [Accepted: 03/16/2022] [Indexed: 12/21/2022]
Abstract
OBJECTIVE There is increasing evidence that adiponectin, resistin and leptin may be implicated in the pathophysiology of neuropsychiatric disorders, including schizophrenia. The results of the studies so far remain controversial. Our aim was to compare serum adiponectin, leptin and resistin levels between drug-naïve, first -episode patients with psychosis and healthy controls and in the same group of patients after six weeks of antipsychotic treatment. METHODS Forty first-episode patients with psychosis and 40 matched controls were included in the study. Serum levels of adiponectin, resistin and leptin were measured by enzyme linked immunosorbent assay (ELISA) in both groups. In the patient group, the same adipokines were also measured six weeks after the initiation of antipsychotic treatment. RESULTS Log-transformed serum levels of adiponectin (mean difference = 1.68, 95% confidence interval [CI] = 1.30 to 2.06, U = 157, p < 0.0001), resistin (0.48, 95% CI = 0.36 to 0.59, t = 8.00, p < 0.0001) and leptin (0.66, 95% CI = 0.52 to 0.80, U = 160, p < 0.0001) were significantly higher to the patient group compared to controls. Leptin levels were significantly decreased in the patient group six weeks after the initiation of antipsychotic treatment (mean change = -0.40, 95% CI = -0.59 to -0.21, W = 666; p < 0.0001) while those of adiponectin and resistin levels did not change significantly. CONCLUSION In our study we found higher levels of adiponectin, leptin and resistin in drug-naïve, first-episode patients with normal Body Mass Index (BMI) compared to controls. After six weeks of antipsychotic treatment, there was no change in adiponectin and resistin levels, while leptin levels were reduced compared to baseline.
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Affiliation(s)
- Petros Petrikis
- Department of Psychiatry, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece.
| | - Andreas Karampas
- Department of Psychiatry, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece
| | - George Leondaritis
- Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece; Institute of Biosciences, University Research Center of Ioannina, 45110 Ioannina, Greece
| | - Georgios Markozannes
- Department of Hygiene and Epidemiology, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece
| | - Dimitra T Archimandriti
- Rheumatology Clinic, Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece
| | - Polyxeni Spyrou
- Rheumatology Clinic, Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece
| | - Georgios Georgiou
- Department of Psychiatry, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece
| | - Petros Skapinakis
- Department of Psychiatry, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece
| | - Paraskevi V Voulgari
- Rheumatology Clinic, Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Ioannina (UOI), P.O. Box 1186, 45110 Ioannina, Greece
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Premorbid characteristics of patients with DSM-IV psychotic disorders. Compr Psychiatry 2022; 115:152310. [PMID: 35385814 DOI: 10.1016/j.comppsych.2022.152310] [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: 09/29/2021] [Accepted: 03/09/2022] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Psychotic disorder not otherwise specified (PNOS) is considered part of the psychosis spectrum, together with schizophrenia spectrum disorders (SSD) and psychotic bipolar spectrum disorders (PBD). The atypical clinical presentations of PNOS conditions may lead to uncertainty regarding treatment choices and expected outcomes. PNOS is understudied, and little is known about patients' premorbid characteristics including premorbid adjustment, prevalence of early cannabis use and childhood trauma. Knowledge about early illness phases can increase our understanding of this diagnostic group. METHODS We included 1099 participants from the Norwegian TOP-study; 688 with narrow SSD diagnoses (schizophrenia, schizoaffective disorder, schizophreniform disorder), 274 with PBD (psychotic bipolar 1 and bipolar NOS) and 137 with PNOS diagnosed with the SCID-I for DSM-IV. Participants were assessed with the Premorbid Adjustment Scale (PAS) divided into the areas of premorbid academic and social functioning. We obtained information on age at first exposure to cannabis and use of cannabis before the age of 16. The participants also provided information regarding early traumatic experiences using the Childhood Trauma Questionnaire (CTQ). RESULTS Participants with PNOS and SSD had poorer premorbid academic functioning than those with PBD (F2, 1029 = 7.81, p < 0.001, pη2 = 0.015). Premorbid social adjustment was significantly worse in the SSD group compared to the PBD group (F2, 1024 = 3.10, p = 0.045, pη2 = 0.006), with PNOS in the middle position. Significantly more of the participants with PNOS (17.5%) and SSD (11.5%) used cannabis before the age of 16 compared with PBD (5.3%, Wald χ2 = 6.86, p = 0.03). There were no significant differences between the three groups regarding mean CTQ scores or in the proportion of participants who had experienced at least one type of childhood adversity. CONCLUSIONS Participants with PNOS appear as more similar to participants with SSD than to those with PBD regarding early premorbid adjustment and early cannabis use. The results indicate that many conditions classified as PNOS have functional impairments and problematic substance use from an early age. The prevalence of childhood adversities are high in all three groups.
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Waddington JL, Nkire N, Russell V. Schizophrenia vis-à-vis dimensional-spectrum concepts of psychotic illness: Has an answer been 'hiding in plain sight'? Schizophr Res 2022; 242:144-146. [PMID: 34799221 DOI: 10.1016/j.schres.2021.11.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/09/2021] [Accepted: 11/10/2021] [Indexed: 12/22/2022]
Affiliation(s)
- John L Waddington
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland; Jiangsu Key Laboratory of Translational Research & Therapy for Neuro-Psychiatric Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China.
| | - Nnamdi Nkire
- Edmonton Mental Health Clinic, Edmonton, Alberta, Canada; Department of Psychiatry, University of Alberta, Edmonton, Canada
| | - Vincent Russell
- Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
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Amoretti S, Rosa AR, Mezquida G, Cabrera B, Ribeiro M, Molina M, Bioque M, Lobo A, González-Pinto A, Fraguas D, Corripio I, Vieta E, de la Serna E, Morro L, Garriga M, Torrent C, Cuesta MJ, Bernardo M. The impact of cognitive reserve, cognition and clinical symptoms on psychosocial functioning in first-episode psychoses. Psychol Med 2022; 52:526-537. [PMID: 32900395 DOI: 10.1017/s0033291720002226] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Functional impairment is a defining feature of psychotic disorders. A range of factors has been shown to influence functioning, including negative symptoms, cognitive performance and cognitive reserve (CR). However, it is not clear how these variables may affect functioning in first-episode psychosis (FEP) patients. This 2-year follow-up study aimed to explore the possible mediating effects of CR on the relationship between cognitive performance or specific clinical symptoms and functional outcome. METHODS A prospective study of non-affective FEP patients was performed (211 at baseline and 139 at follow-up). CR was entered in a path analysis model as potential mediators between cognitive domains or clinical symptoms and functioning. RESULTS At baseline, the relationship between clinical variables or cognitive performance and functioning was not mediated by CR. At follow-up, the effect of attention (p = 0.003) and negative symptoms (p = 0.012) assessed at baseline on functioning was partially mediated by CR (p = 0.032 and 0.016), whereas the relationship between verbal memory (p = 0.057) and functioning was mediated by CR (p = 0.014). Verbal memory and positive and total subscales of PANSS assessed at follow-up were partially mediated by CR and the effect of working memory on functioning was totally mediated by CR. CONCLUSIONS Our results showed the influence of CR in mediating the relationship between cognitive domains or clinical symptoms and functioning in FEP. In particular, CR partially mediated the relationship between some cognitive domains or clinical symptoms and functioning at follow-up. Therefore, CR could improve our understanding of the long-term functioning of patients with a non-affective FEP.
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Affiliation(s)
- Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Adriane R Rosa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Postgraduate Program: Psychiatry and Behavioral Science, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Department of Pharmacology and Postgraduate Program: Pharmacology and Therapeutics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Bibiana Cabrera
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - María Ribeiro
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Mariola Molina
- Instituto de Investigación Sanitaria Gregorio Marañón. School of Psychology, Complutense University, Madrid, Spain
| | - Miquel Bioque
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Antonio Lobo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- Department of Medicine and Psychiatry. Zaragoza University. Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Ana González-Pinto
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- Department of Psychiatry, Hospital Universitario de Álava (Sede Santiago), University of the Basque Country (UPV-EHU), Bioaraba Research Institute, Spain
| | - David Fraguas
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Institute of Psychiatry and Mental Health, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Iluminada Corripio
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- Psychiatry Department, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Eduard Vieta
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Elena de la Serna
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, 2017SGR881, Institute of Neurosciences, Hospital Clinic of Barcelona, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Laura Morro
- Hospital del Mar, Department of Psychiatry, Barcelona, Spain
| | - Marina Garriga
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Carla Torrent
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
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Valdés-Florido MJ, López-Díaz Á, Palermo-Zeballos FJ, Garrido-Torres N, Álvarez-Gil P, Martínez-Molina I, Martín-Gil VE, Ruiz-Ruiz E, Mota-Molina M, Algarín-Moriana MP, Guzmán-Del Castillo AH, Ruiz-Arcos Á, Gómez-Coronado R, Galiano-Rus S, Rosa-Ruiz A, Prados-Ojeda JL, Gutierrez-Rojas L, Crespo-Facorro B, Ruiz-Veguilla M. Clinical characterization of brief psychotic disorders triggered by the COVID-19 pandemic: a multicenter observational study. Eur Arch Psychiatry Clin Neurosci 2022; 272:5-15. [PMID: 33811552 PMCID: PMC8019303 DOI: 10.1007/s00406-021-01256-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 03/16/2021] [Indexed: 02/07/2023]
Abstract
This study aimed to characterize the clinical profile of patients with brief psychotic disorders (BPD) triggered by the psychosocial distress derived from the COVID-19 crisis. A multicenter study was conducted from March 14 to May 14, 2020 (the peak weeks of the pandemic in Europe). All consecutive patients presenting non-affective psychotic episodes with a duration of untreated psychosis of less than 1 month and whose onset was related to the COVID-19 crisis were recruited, but only those patients meeting Diagnostic Statistical Manual 5th edition (DSM-5) criteria for "BPD with marked stressors" (DSM-5 code: 298.8) during follow-up were finally included. Patients' sociodemographic and clinical characteristics were collected at baseline and summarized with descriptive statistics. During the study period, 57 individuals with short-lived psychotic episodes related to the emotional stress of the COVID-19 pandemic were identified, of whom 33 met DSM-5 criteria for "BPD with marked stressors". The mean age was 42.33 ± 14.04 years, the gender distribution was almost the same, and the majority were rated as having good premorbid adjustment. About a quarter of the patients exhibited suicidal symptoms and almost half presented first-rank schizophrenia symptoms. None of them were COVID-19 positive, but in more than half of the cases, the topic of their psychotic features was COVID-19-related. The coronavirus pandemic is triggering a significant number of BPD cases. Their risk of suicidal behavior, their high relapse rate, and their low temporal stability make it necessary to closely monitor these patients over time.
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Affiliation(s)
| | - Álvaro López-Díaz
- Virgen Macarena University Hospital, Seville, Spain
- Institute of Biomedicine of Seville (IBiS), Seville, Spain
- Network Centre for Biomedical Research in Mental Health (CIBERSAM), Seville, Spain
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Benedicto Crespo-Facorro
- Institute of Biomedicine of Seville (IBiS), Seville, Spain.
- Network Centre for Biomedical Research in Mental Health (CIBERSAM), Seville, Spain.
- Virgen del Rocío University Hospital, Seville, Spain.
- Department of Psychiatry, University of Seville, Seville, Spain.
| | - Miguel Ruiz-Veguilla
- Institute of Biomedicine of Seville (IBiS), Seville, Spain
- Network Centre for Biomedical Research in Mental Health (CIBERSAM), Seville, Spain
- Virgen del Rocío University Hospital, Seville, Spain
- Department of Psychiatry, University of Seville, Seville, Spain
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46
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Fusar-Poli P, Salazar de Pablo G, Rajkumar RP, López-Díaz Á, Malhotra S, Heckers S, Lawrie SM, Pillmann F. Diagnosis, prognosis, and treatment of brief psychotic episodes: a review and research agenda. Lancet Psychiatry 2022; 9:72-83. [PMID: 34856200 DOI: 10.1016/s2215-0366(21)00121-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 03/01/2021] [Accepted: 03/18/2021] [Indexed: 12/25/2022]
Abstract
Brief psychotic episodes represent an intriguing paradox in clinical psychiatry because they elude the standard knowledge that applies to the persisting psychotic disorders such as schizophrenia. This Review describes key diagnostic considerations such as conceptual foundations, current psychiatric classification versus research-based operationalisations, epidemiology, and sociocultural variations; prognostic aspects including the risk of psychosis recurrence, types of psychotic recurrences, other clinical outcomes, prognostic factors; and therapeutic issues such as treatment guidelines and unmet need of care. The advances and challenges associated with the scientific evidence are used to set a research agenda in this area. We conclude that brief psychotic episodes can be reconceptualised within a clinical staging model to promote innovative translational research and improve our understanding and treatment of psychotic disorders.
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Affiliation(s)
- Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection 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.
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection Lab, Department of Psychosis Studies, 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; 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, CIBERSAM, Madrid, Spain
| | - Ravi Philip Rajkumar
- Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India
| | - Álvaro López-Díaz
- University Hospital Virgen Macarena, Seville, Spain; Institute of Biomedicine of Seville, Seville, Spain
| | | | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Frank Pillmann
- WO Center of Psychiatry, Halle, Germany; Martin Luther University, Halle-Wittenberg, Germany
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47
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Valle R. Validity, reliability and clinical utility of mental disorders: The case of ICD-11 schizophrenia. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2022; 51:61-70. [PMID: 35210207 DOI: 10.1016/j.rcpeng.2020.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 09/09/2020] [Indexed: 06/14/2023]
Abstract
Diagnostic classification systems categorise mental psychopathology in mental disorders. Although these entities are clinical constructs developed by consensus, it has been pointed out that in practice they are usually managed as natural entities and without evaluating aspects related to their nosological construction. The objectives of the study are to review a) the conceptualisation of mental disorders, b) the indicators of validity, reliability and clinical utility, and c) the values of these indicators in ICD-11 schizophrenia. The results show that mental disorders are conceptualised as discrete entities, like the diseases of other areas of medicine; however, differences are observed between these diagnostic categories in clinical practice. The reliability and clinical utility of mental disorders are adequate; however, the validity is not yet clarified. Similarly, ICD-11 schizophrenia demonstrates adequate reliability and clinical utility, but its validity remains uncertain. The conceptualisation of psychopathology in discrete entities may be inadequate for its study, therefore dimensional and mixed models have been proposed. The indicators of validity, reliability and clinical utility enable us to obtain an accurate view of the nosological state of mental disorders when evaluating different aspects of their nosological construction.
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Affiliation(s)
- Rubén Valle
- Centro de Investigación en Epidemiología Clínica y Medicina Basada en Evidencias, Facultad de Medicina Humana, Universidad de San Martín de Porres, Lima, Peru; DEIDAE de Adultos y Adultos Mayores, Instituto Nacional de Salud Mental Honorio Delgado-Hideyo Noguchi, Lima, Peru.
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48
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Catalan A, García L, Sanchez-Alonso S, Gil P, Díaz-Marsá M, Olivares JM, Rivera-Baltanás T, Pérez-Martín J, Torres MÁG, Ovejero S, Tost M, Bergé D, Rodríguez A, Labad J. Early intervention services, patterns of prescription and rates of discontinuation of antipsychotic treatment in first-episode psychosis. Early Interv Psychiatry 2021; 15:1584-1594. [PMID: 33289317 DOI: 10.1111/eip.13098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 09/26/2020] [Accepted: 11/14/2020] [Indexed: 01/22/2023]
Abstract
AIMS Non-compliance is still an important problem in psychotic patients. Although antipsychotic (AP) treatment leads to a decrease in psychotic relapses, there are no clear recommendations about how long treatment should be maintained after first-episode psychosis (FEP) and no indication of the rates and causes of treatment withdrawal in this group. METHODS We evaluated a large sample of patients with FEP for 2 years to compare the time to all-cause treatment discontinuation of AP drugs and the time to the first relapse. We collected the sociodemographic and psychopathological characteristics of the sample. The number of relapses was also recorded. RESULTS A total of 310 FEP patients were assessed across seven early intervention teams (mean age = 30.2 years; SD = 11.2). The most prevalent diagnosis at baseline was psychotic disorder not otherwise specified (36.1%), and the most commonly used APs were risperidone (26.5%) and olanzapine (18.7%). A lack of efficacy was the most frequent reason for the withdrawal of the first AP prescribed, followed by non-compliance. There were no differences in the relapse rates between different APs. Patients treated with long-acting injectable (LAI) APs presented less disengagement from services than patients treated with oral APs. CONCLUSIONS Although there were no differences between the different APs in terms of relapse rates, LAIs had higher retention rates than oral APs in early intervention services. Compliance is still an important issue in Psychiatry, so clinicians should use different strategies to encourage it, such as the use of LAI treatments.
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Affiliation(s)
- Ana Catalan
- Mental Health Department, Biocruces Bizkaia Health Research Institute, Basurto University Hospital, Facultad de Medicina y Odontología, Campus de Leioa, University of the Basque Country, Bizkaia, Spain
| | - Lorena García
- Department of Psychiatry, Hospital Universitario de San Juan, Alicante, Spain.,Department of Clinical Medicine, Universidad Miguel Hernández, Edificio Muhammad Al-Shafra, Alicante, Spain
| | | | - Patxi Gil
- Mental Health Department, Biocruces Bizkaia Health Research Institute, Early Intervention Service, Bizkaia Mental Health System, Bilbao, Bizkaia, Spain
| | - Marina Díaz-Marsá
- Psychiatry Department, Universitary Hospital Clinico San Carlos de Madrid, IddISC, Madrid, Spain
| | - José Manuel Olivares
- Department of Psychiatry, Hospital Alvaro Cunqueiro, University of Vigo, Translational Neuroscience Group, Galicia Sur Health Research Institute (CIBERSAM), Vigo, Spain
| | - Tania Rivera-Baltanás
- Department of Psychiatry, Hospital Alvaro Cunqueiro, University of Vigo, Translational Neuroscience Group, Galicia Sur Health Research Institute (CIBERSAM), Vigo, Spain
| | - Jorge Pérez-Martín
- Department of Psychiatry, Hospital Universitario de San Juan, Alicante, Spain.,Department of Clinical Medicine, Universidad Miguel Hernández, Edificio Muhammad Al-Shafra, Alicante, Spain
| | - Miguel Ángel González Torres
- Mental Health Department, Biocruces Bizkaia Health Research Institute, Basurto University Hospital, Facultad de Medicina y Odontología, Campus de Leioa, University of the Basque Country, Bizkaia, Spain
| | - Santiago Ovejero
- Department of Psychiatry, Jimenez Diaz Foundation Hospital, Madrid, Spain
| | - Meritxell Tost
- Early Intervention Service for Psychosis, Department of Mental Health, Parc Taulí Hospital Universitari, I3PT, Universitat Autònoma de Barcelona (Department of Psychiatry and Forensic Medicine), CIBERSAM, Sabadell, Spain
| | - Daniel Bergé
- Institut de Neuropsiquiatria I Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain.,Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red, Área de Salud Mental (CIBERSAM), Madrid, Spain
| | | | - Javier Labad
- Early Intervention Service for Psychosis, Department of Mental Health, Parc Taulí Hospital Universitari, I3PT, Universitat Autònoma de Barcelona (Department of Psychiatry and Forensic Medicine), CIBERSAM, Sabadell, Spain
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49
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López-Díaz Á, Ayesa-Arriola R, Ortíz-García de la Foz V, Suárez-Pinilla P, Ramírez-Bonilla ML, Vázquez-Bourgon J, Ruiz-Veguilla M, Crespo-Facorro B. Predictors of diagnostic stability in brief psychotic disorders: Findings from a 3-year longitudinal study. Acta Psychiatr Scand 2021; 144:578-588. [PMID: 34431080 DOI: 10.1111/acps.13364] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/16/2021] [Accepted: 08/21/2021] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Brief psychotic disorder (BPD) is a relatively uncommon and underexplored psychotic condition. Even though BPD has been related to a more favorable outcome than other schizophrenia spectrum disorders (SSD), current knowledge of its predictive factors remains scant. This study aimed to examine its prevalence and find early predictors of BPD diagnostic stability. METHODS SSD diagnosis following Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria was explored in a large epidemiological cohort (n = 569) of non-affective first-episode psychosis (FEP) patients enrolled in a three-year longitudinal intervention program (PAFIP). Premorbid, sociodemographic, and clinical information was collected to characterize BPD patients and determine factors predictive of diagnostic stability. Multivariate analysis included predictors selected from clinical knowledge and also those that had achieved marginal significance (p ≤ 0.1) in univariate analysis. RESULTS A total of 59 patients enrolled in the PAFIP program (10.4% of the whole cohort) met DSM-IV criteria for BPD, of whom 40 completed the three-year follow-up. The temporal stability of BPD in our sample was as high as 40% (n = 16). Transition from BPD to schizophrenia occurred in 37% (n = 15) of patients. Fewer hallucinations at baseline and better insight independently significantly predicted BPD diagnostic stability over time. CONCLUSION Our findings confirm that BPD is a clinical condition with moderate-to-low temporal stability and demonstrate that approximately two-thirds of FEP individuals experiencing BPD will develop a long-lasting psychotic disorder during follow-up, mainly schizophrenia.
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Affiliation(s)
- Álvaro López-Díaz
- UGC Salud Mental, Hospital Universitario Virgen Macarena, Seville, Spain.,Instituto de Biomedicina de Sevilla (IBiS), Seville, Spain.,Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Seville, Spain
| | - Rosa Ayesa-Arriola
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Seville, Spain.,Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain.,Departamento de Psiquiatría, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Víctor Ortíz-García de la Foz
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Seville, Spain.,Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain.,Departamento de Psiquiatría, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Paula Suárez-Pinilla
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Seville, Spain.,Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain.,Departamento de Psiquiatría, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - María Luz Ramírez-Bonilla
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Seville, Spain.,Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain.,Departamento de Psiquiatría, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Javier Vázquez-Bourgon
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Seville, Spain.,Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain.,Departamento de Psiquiatría, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Miguel Ruiz-Veguilla
- Instituto de Biomedicina de Sevilla (IBiS), Seville, Spain.,Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Seville, Spain.,UGC Salud Mental, Hospital Universitario Virgen del Rocío, Seville, Spain.,Departamento de Psiquiatría, Universidad de Sevilla, Seville, Spain
| | - Benedicto Crespo-Facorro
- Instituto de Biomedicina de Sevilla (IBiS), Seville, Spain.,Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Seville, Spain.,UGC Salud Mental, Hospital Universitario Virgen del Rocío, Seville, Spain.,Departamento de Psiquiatría, Universidad de Sevilla, Seville, Spain
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50
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Smigielski L, Papiol S, Theodoridou A, Heekeren K, Gerstenberg M, Wotruba D, Buechler R, Hoffmann P, Herms S, Adorjan K, Anderson-Schmidt H, Budde M, Comes AL, Gade K, Heilbronner M, Heilbronner U, Kalman JL, Klöhn-Saghatolislam F, Reich-Erkelenz D, Schaupp SK, Schulte EC, Senner F, Anghelescu IG, Arolt V, Baune BT, Dannlowski U, Dietrich DE, Fallgatter AJ, Figge C, Jäger M, Juckel G, Konrad C, Nieratschker V, Reimer J, Reininghaus E, Schmauß M, Spitzer C, von Hagen M, Wiltfang J, Zimmermann J, Gryaznova A, Flatau-Nagel L, Reitt M, Meyers M, Emons B, Haußleiter IS, Lang FU, Becker T, Wigand ME, Witt SH, Degenhardt F, Forstner AJ, Rietschel M, Nöthen MM, Andlauer TFM, Rössler W, Walitza S, Falkai P, Schulze TG, Grünblatt E. Polygenic risk scores across the extended psychosis spectrum. Transl Psychiatry 2021; 11:600. [PMID: 34836939 PMCID: PMC8626446 DOI: 10.1038/s41398-021-01720-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/24/2021] [Accepted: 10/29/2021] [Indexed: 12/23/2022] Open
Abstract
As early detection of symptoms in the subclinical to clinical psychosis spectrum may improve health outcomes, knowing the probabilistic susceptibility of developing a disorder could guide mitigation measures and clinical intervention. In this context, polygenic risk scores (PRSs) quantifying the additive effects of multiple common genetic variants hold the potential to predict complex diseases and index severity gradients. PRSs for schizophrenia (SZ) and bipolar disorder (BD) were computed using Bayesian regression and continuous shrinkage priors based on the latest SZ and BD genome-wide association studies (Psychiatric Genomics Consortium, third release). Eight well-phenotyped groups (n = 1580; 56% males) were assessed: control (n = 305), lower (n = 117) and higher (n = 113) schizotypy (both groups of healthy individuals), at-risk for psychosis (n = 120), BD type-I (n = 359), BD type-II (n = 96), schizoaffective disorder (n = 86), and SZ groups (n = 384). PRS differences were investigated for binary traits and the quantitative Positive and Negative Syndrome Scale. Both BD-PRS and SZ-PRS significantly differentiated controls from at-risk and clinical groups (Nagelkerke's pseudo-R2: 1.3-7.7%), except for BD type-II for SZ-PRS. Out of 28 pairwise comparisons for SZ-PRS and BD-PRS, 9 and 12, respectively, reached the Bonferroni-corrected significance. BD-PRS differed between control and at-risk groups, but not between at-risk and BD type-I groups. There was no difference between controls and schizotypy. SZ-PRSs, but not BD-PRSs, were positively associated with transdiagnostic symptomology. Overall, PRSs support the continuum model across the psychosis spectrum at the genomic level with possible irregularities for schizotypy. The at-risk state demands heightened clinical attention and research addressing symptom course specifiers. Continued efforts are needed to refine the diagnostic and prognostic accuracy of PRSs in mental healthcare.
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Affiliation(s)
- Lukasz Smigielski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland.
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Anastasia Theodoridou
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Karsten Heekeren
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Psychiatry and Psychotherapy I, LVR-Hospital, Cologne, Germany
| | - Miriam Gerstenberg
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
| | - Diana Wotruba
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
| | - Roman Buechler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
- Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
| | - Per Hoffmann
- Department of Biomedicine, Human Genomics Research Group, University Hospital and University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefan Herms
- Department of Biomedicine, Human Genomics Research Group, University Hospital and University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Kristina Adorjan
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Heike Anderson-Schmidt
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Ashley L Comes
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Katrin Gade
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Maria Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | | | - Daniela Reich-Erkelenz
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Sabrina K Schaupp
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ion-George Anghelescu
- Department of Psychiatry and Psychotherapy, Mental Health Institute, Berlin, Germany
| | - Volker Arolt
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Detlef E Dietrich
- AMEOS Clinical Center Hildesheim, Hildesheim, Germany
- Center for Systems Neuroscience (ZSN), Hannover, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), University of Tübingen, Tübingen, Germany
| | - Christian Figge
- Karl-Jaspers Clinic, European Medical School Oldenburg-Groningen, Oldenburg, Germany
| | - Markus Jäger
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, Rotenburg, Germany
| | - Vanessa Nieratschker
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), University of Tübingen, Tübingen, Germany
| | - Jens Reimer
- Department of Psychiatry, Klinikum Bremen-Ost, Bremen, Germany
- Department of Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Eva Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Graz, Austria
| | - Max Schmauß
- Clinic for Psychiatry, Psychotherapy and Psychosomatics, Augsburg University, Medical Faculty, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | - Carsten Spitzer
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | - Martin von Hagen
- Clinic for Psychiatry and Psychotherapy, Clinical Center Werra-Meißner, Eschwege, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Jörg Zimmermann
- Psychiatrieverbund Oldenburger Land gGmbH, Karl-Jaspers-Klinik, Bad Zwischenahn, Germany
| | - Anna Gryaznova
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Laura Flatau-Nagel
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Markus Reitt
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Milena Meyers
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Barbara Emons
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Ida Sybille Haußleiter
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Fabian U Lang
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Thomas Becker
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Moritz E Wigand
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Till F M Andlauer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Wulf Rössler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
- Laboratory of Neuroscience (LIM 27), Institute of Psychiatry, Universidade de São Paulo, São Paulo, Brazil
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
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