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Angers K, Gu P, Lasagna CA, McLaughlin MM, Taylor SF, Tso IF, Burton CZ. The relationship of neurocognitive and social cognitive performance to social competence and appropriateness on a performance-based social skills assessment in individuals with psychosis and unaffected controls. J Psychiatr Res 2024; 179:15-20. [PMID: 39222550 DOI: 10.1016/j.jpsychires.2024.08.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/19/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024]
Abstract
Social deficits are common in psychosis. The Social Skills Performance Assessment (SSPA) is a performance-based measure used to approximate an individual's social skills. Those with psychosis perform worse than do unaffected controls. Prior work has examined two social skills domains derived from the SSPA: social competence and social appropriateness. Social competence and appropriateness are associated with neurocognition and functioning outcomes. However, no study to date has examined the relationship of social cognition to social competence and appropriateness. We aimed to examine the relationships among different aspects of social cognition and performance-based social functioning and hypothesized that social cognitive performance would be related to social competence and appropriateness. We also hypothesized that after controlling for neurocognition, social cognition would account for unique variance in social competence and appropriateness in separate regression models. Forty-one participants who had experienced psychosis and 42 unaffected controls completed a comprehensive battery of neurocognitive, social cognitive, and social functioning measures. Social competence was associated with neurocognition and some aspects of social cognition, while social appropriateness was only marginally associated with neurocognition. Regression models revealed that social cognition did not account for additional and unique variance in social competence or appropriateness, after adjusting for demographic covariates and neurocognition. Findings suggest that aspects of social functioning performance are differentially related to neurocognitive and social cognitive skills. Social skill interventions may be most effective when targeting both neurocognitive and social cognitive skills in treatment.
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Affiliation(s)
- Kaley Angers
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
| | - Pan Gu
- Department of Psychology, University of Texas at Dallas, Richardson, TX, USA
| | - Carly A Lasagna
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | | | - Stephan F Taylor
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Ivy F Tso
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Cynthia Z Burton
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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Halil MG, Baskow I, Zimdahl MF, Lipinski S, Hannig R, Falkai P, Fallgatter AJ, Schneider S, Walter M, Meyer-Lindenberg A, Heinz A. [The German Center for Mental Health : Innovative translational research to promote prevention, targeted intervention and resilience]. DER NERVENARZT 2024; 95:450-457. [PMID: 38489028 PMCID: PMC11068838 DOI: 10.1007/s00115-024-01632-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/05/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND Due to the high disease burden, the early onset and often long-term trajectories mental disorders are among the most widespread diseases with growing significance. The German Center for Mental Health (DZPG) was established to enhance research conditions and expedite the translation of clinically relevant findings into practice. OBJECTIVE The aim of the DZPG is to optimize mental healthcare in Germany, influence modifiable social causes and to develop best practice models of care for vulnerable groups. It seeks to promote mental health and resilience, combat the stigmatization associated with mental disorders, and contribute to the enhancement of treatment across all age groups. MATERIAL AND METHODS The DZPG employs a translational research program that accelerates the translation of basic research findings into clinical studies and general practice. University hospitals and outpatient departments, other university disciplines, and extramural research institutions are working together to establish a collaboratively coordinated infrastructure for accelerated translation and innovation. RESEARCH PRIORITIES The research areas encompass 1) the interaction of somatic and mental risk and resilience factors and disorders across the lifespan, 2) influencing relevant modifiable environmental factors and 3) based on this personalized prevention and intervention. CONCLUSION The DZPG aims to develop innovative preventive and therapeutic tools that enable an improvement in care for individuals with mental disorders. It involves a comprehensive integration of experts with experience at all levels of decision-making and employs trilogue and participatory approaches in all research projects.
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Affiliation(s)
- Melissa G Halil
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Berlin-Potsdam, Berlin, Deutschland
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Charité Platz 1, 10117, Berlin, Deutschland
| | - Irina Baskow
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Berlin-Potsdam, Berlin, Deutschland
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Charité Platz 1, 10117, Berlin, Deutschland
| | - Malte F Zimdahl
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Mannheim-Heidelberg-Ulm, Heidelberg, Deutschland
- Klinik für Psychiatrie und Psychotherapie, Zentralinstitut für Seelische Gesundheit, Mannheim, Deutschland
| | - Silke Lipinski
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Berlin-Potsdam, Berlin, Deutschland
- Aspies e. V. - Menschen im Autismusspektrum, Berlin, Deutschland
- Klinische Psychologie Sozialer Interaktion, Humboldt-Universität zu Berlin, Berlin, Deutschland
| | - Rüdiger Hannig
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Berlin-Potsdam, Berlin, Deutschland
- Bundesverband der Angehörigen psychisch erkrankter Menschen e. V., Bonn, Deutschland
| | - Peter Falkai
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort München-Augsburg, München, Deutschland
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, LMU Klinikum, LMU München, München, Deutschland
- Max-Planck-Institut für Psychiatrie, München, Deutschland
| | - Andreas J Fallgatter
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Tübingen, Tübingen, Deutschland
- Abteilung für Psychiatrie und Psychotherapie, Universitätsklinikum Tübingen, Tübingen, Deutschland
| | - Silvia Schneider
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Bochum-Marburg, Bochum, Deutschland
- Klinische Kinder- und Jugendpsychologie, Forschungs- und Behandlungszentrum für psychische Gesundheit (FBZ), Ruhr-Universität Bochum, Bochum, Deutschland
| | - Martin Walter
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Halle-Jena-Magdeburg, Halle, Deutschland
- Klinik für Psychiatrie und Psychotherapie, Universitätsklinikum Jena, Jena, Deutschland
| | - Andreas Meyer-Lindenberg
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Mannheim-Heidelberg-Ulm, Heidelberg, Deutschland
- Klinik für Psychiatrie und Psychotherapie, Zentralinstitut für Seelische Gesundheit, Mannheim, Deutschland
- Deutsche Gesellschaft für Psychiatrie und Psychotherapie, Psychosomatik und Nervenheilkunde e. V., Berlin, Deutschland
| | - Andreas Heinz
- Deutsches Zentrum für Psychische Gesundheit (DZPG), Standort Berlin-Potsdam, Berlin, Deutschland.
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Charité Platz 1, 10117, Berlin, Deutschland.
- Psychiatrische Universitätsklinik der Charité im St. Hedwig Krankenhaus, Berlin, Deutschland.
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Rintell LS, Carroll D, Wales M, Gonzalez-Heydrich J, D'Angelo E. Heterogeneity of clinical symptomatology in pediatric patients at clinical high risk for psychosis. BMC Res Notes 2024; 17:88. [PMID: 38532408 DOI: 10.1186/s13104-024-06742-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 03/08/2024] [Indexed: 03/28/2024] Open
Abstract
OBJECTIVE Widespread use of diagnostic tools like the Structured Interview for Prodromal Symptoms (SIPS) has highlighted that youth at Clinical High Risk for Psychosis (CHR-P) present with heterogeneous symptomatology. This pilot study aims to highlight the range of clinical characteristics of CHR-P youth, investigate the role of the non-positive (negative, disorganization, and general) symptoms in risk assessment, and determine if specific profiles are associated with severe symptomatology. METHODS 38 participants aged 7-18 were administered the SIPS and designated as CHR-P. Descriptive statistics and mean difference t-tests were used to describe the range in prevalence and severity of SIPS symptoms and to identify symptoms associated with greater overall symptomatology. RESULTS Participants who had a greater number of positive symptoms also had significantly more negative, disorganization, and general symptoms. A number of SIPS symptoms were associated with greater number of positive symptoms. CONCLUSION CHR-P youth represent a heterogeneous group, presenting with a wide range in clinical presentation as reflected in both the number of SIPS symptoms and their severity. Though the severity and duration of positive SIPS symptoms determines the CHR-P classification, high ratings on several of the other SIPS negative, disorganization, and general items may be useful indicators of elevated symptomatology.
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Affiliation(s)
- L Sophia Rintell
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, 02115, Boston, MA, USA
- Department of Psychology, Rosalind Franklin University of Medicine and Science, 3333 N Green Bay Rd., 60064, North Chicago, IL, USA
| | - Devon Carroll
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, 02115, Boston, MA, USA
- College of Nursing, University of Rhode Island, 350 Eddy St, 02903, Providence, RI, USA
| | - Meghan Wales
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, 02115, Boston, MA, USA
| | - Joseph Gonzalez-Heydrich
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, 02115, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, 401 Park Dr, 02215, Boston, MA, USA
| | - Eugene D'Angelo
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, 300 Longwood Ave, 02115, Boston, MA, USA.
- Department of Psychiatry, Harvard Medical School, 401 Park Dr, 02215, Boston, MA, USA.
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Wasserthal S, Muthesius A, Hurlemann R, Ruhrmann S, Schmidt SJ, Hellmich M, Schultze-Lutter F, Klosterkötter J, Müller H, Meyer-Lindenberg A, Poeppl TB, Walter H, Hirjak D, Koutsouleris N, Fallgatter AJ, Bechdolf A, Brockhaus-Dumke A, Mulert C, Philipsen A, Kambeitz J. N-Acetylcysteine and a Specialized Preventive Intervention for Individuals at High Risk for Psychosis: A Randomized Double-Blind Multicenter Trial. SCHIZOPHRENIA BULLETIN OPEN 2024; 5:sgae005. [PMID: 39144108 PMCID: PMC11207905 DOI: 10.1093/schizbullopen/sgae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Background and Hypothesis Clinical high risk for psychosis (CHR-P) offers a window of opportunity for early intervention and recent trials have shown promising results for the use of N-acetylcysteine (NAC) in schizophrenia. Moreover, integrated preventive psychological intervention (IPPI), applies social-cognitive remediation to aid in preventing the transition to the psychosis of CHR-P patients. Study Design In this double-blind, randomized, controlled multicenter trial, a 2 × 2 factorial design was applied to investigate the effects of NAC compared to placebo (PLC) and IPPI compared to psychological stress management (PSM). The primary endpoint was the transition to psychosis or deterioration of CHR-P symptoms after 18 months. Study Results While insufficient recruitment led to early trial termination, a total of 48 participants were included in the study. Patients receiving NAC showed numerically higher estimates of event-free survival probability (IPPI + NAC: 72.7 ± 13.4%, PSM + NAC: 72.7 ± 13.4%) as compared to patients receiving PLC (IPPI + PLC: 56.1 ± 15.3%, PSM + PLC: 39.0 ± 17.4%). However, a log-rank chi-square test in Kaplan-Meier analysis revealed no significant difference of survival probability for NAC vs control (point hazard ratio: 0.879, 95% CI 0.281-2.756) or IPPI vs control (point hazard ratio: 0.827, 95% CI 0.295-2.314). The number of adverse events (AE) did not differ significantly between the four groups. Conclusions The superiority of NAC or IPPI in preventing psychosis in patients with CHR-P compared to controls could not be statistically validated in this trial. However, results indicate a consistent pattern that warrants further testing of NAC as a promising and well-tolerated intervention for CHR patients in future trials with adequate statistical power.
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Affiliation(s)
- Sven Wasserthal
- Division of Medical Psychology, Department of Psychiatry and Psychotherapy, University Hospital of Bonn, Bonn, Germany
| | - Ana Muthesius
- Department of Psychiatry and Psychotherapy, University of Cologne and University Hospital Cologne, Cologne, Germany
| | - René Hurlemann
- Department of Psychiatry, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne and University Hospital Cologne, Cologne, Germany
| | - Stefanie J Schmidt
- Division of Clinical Child and Adolescent Psychology, University of Bern, Bern, Switzerland
| | - Martin Hellmich
- Faculty of Medicine and University Hospital Cologne, Institute of Medical Statistics and Computational Biology, University of Cologne, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
- Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Joachim Klosterkötter
- Department of Psychiatry and Psychotherapy, University of Cologne and University Hospital Cologne, Cologne, Germany
| | - Hendrik Müller
- Department of Psychiatry and Psychotherapy, University of Cologne and University Hospital Cologne, Cologne, Germany
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany
| | - Timm B Poeppl
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Munich, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- German Center for Mental Health (DZPG), Partner Site Tübingen, Tübingen, Germany
| | - Andreas Bechdolf
- Department of Psychiatry and Psychotherapy CCM, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine with Early Intervention and Recognition Center (FRITZ), Vivantes Klinikum Am Urban, Berlin, Germany
| | | | - Christoph Mulert
- Center of Psychiatry, Justus-Liebig University, Giessen, Germany
| | - Alexandra Philipsen
- Department of Psychiatry and Psychotherapy, University Hospital of Bonn, Bonn, Germany
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, University of Cologne and University Hospital Cologne, Cologne, Germany
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de Lacy N, Ramshaw MJ. Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.23.23297438. [PMID: 37961085 PMCID: PMC10635181 DOI: 10.1101/2023.10.23.23297438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Thought disorder (TD) is a sensitive and specific marker of risk for schizophrenia onset. Specifying factors that predict TD onset in adolescence is important to early identification of youth at risk. However, there is a paucity of studies prospectively predicting TD onset in unstratified youth populations. Study Design We used deep learning optimized with artificial intelligence (AI) to analyze 5,777 multimodal features obtained at 9-10 years from youth and their parents in the ABCD study, including 5,014 neural metrics, to prospectively predict new onset TD cases at 11-12 years. The design was replicated for all prevailing TD cases at 11-12 years. Study Results Optimizing performance with AI, we were able to achieve 92% accuracy and F1 and 0.96 AUROC in prospectively predicting the onset of TD in early adolescence. Structural differences in the left putamen, sleep disturbances and the level of parental externalizing behaviors were specific predictors of new onset TD at 11-12 yrs, interacting with low youth prosociality, the total parental behavioral problems and parent-child conflict and whether the youth had already come to clinical attention. More important predictors showed greater inter-individual variability. Conclusions This study provides robust person-level, multivariable signatures of early adolescent TD which suggest that structural differences in the left putamen in late childhood are a candidate biomarker that interacts with psychosocial stressors to increase risk for TD onset. Our work also suggests that interventions to promote improved sleep and lessen parent-child psychosocial stressors are worthy of further exploration to modulate risk for TD onset.
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Affiliation(s)
- Nina de Lacy
- Huntsman Mental Health Institute, Salt Lake City, UT 84103
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84103
| | - Michael J. Ramshaw
- Huntsman Mental Health Institute, Salt Lake City, UT 84103
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84103
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Michel C, Lerch S, Büetiger JR, Flückiger R, Cavelti M, Koenig J, Kaess M, Kindler J. An ecological momentary assessment study of age effects on perceptive and non-perceptive clinical high-risk symptoms of psychosis. Eur Child Adolesc Psychiatry 2023; 32:1841-1852. [PMID: 35585271 PMCID: PMC9116495 DOI: 10.1007/s00787-022-02003-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/30/2022] [Indexed: 11/15/2022]
Abstract
Among individuals with clinical high risk for psychosis (CHR), perceptive symptoms are more frequent but have less clinical significance in children/adolescents compared to adults. However, findings are based on clinical interviews relying on patient's recall capacity. Ecological momentary assessment (EMA) can be used to explore experiences in real-time in the subject's daily life. The aim of this study was to assess frequency and stability of (perceptive and non-perceptive) CHR symptoms and to explore potential age effects. EMA was used in a sample of an early detection for psychosis service in Bern, Switzerland (N = 66; 11-36 years). CHR symptoms were recorded in random time intervals for seven days: eight assessments per day per subject, minimum time between prompts set at 25 min. CHR symptoms were additionally assessed with semi-structured interviews including the 'Structured Interview for Psychosis-Risk Syndromes' and the 'Schizophrenia Proneness Instruments'. Mixed-effects linear regression analysis on the frequency of CHR symptoms revealed a significant effect of age group, and the interaction CHR symptoms x age group for both perceptive and non-perceptive symptoms. Further, regarding stability of CHR symptoms, there was a significant effect of the interaction CHR symptoms x age group for perceptive symptoms only. Based on EMA, perceptive CHR symptoms were more frequently reported but less stable in children/adolescents compared with adults. Together with previous findings, our finding of higher instability/variability of perceptive symptoms in younger persons might suggest that with advancing age and more stability of CHR symptoms, clinical relevance (reduced psychosocial functioning) may increase.
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Affiliation(s)
- C Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
| | - S Lerch
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - J R Büetiger
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - R Flückiger
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - M Cavelti
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - J Koenig
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - M Kaess
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Child and Adolescent Psychiatry, Centre for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - J Kindler
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
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Strauss GP, Raugh IM, Luther L, Walker EF, Mittal VA. Temporal Interactions Between Social Motivation and Behavior In Daily Life Among Individuals at Clinical High-Risk for Psychosis. Schizophr Bull 2023; 49:1150-1160. [PMID: 37467481 PMCID: PMC10483454 DOI: 10.1093/schbul/sbad096] [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: 07/21/2023]
Abstract
BACKGROUND AND HYPOTHESES Poor social functioning is common among individuals at clinical high-risk (CHR) for psychosis and is associated with greater likelihood of conversion. Unfortunately, processes contributing to social impairment are unclear, making social functioning difficult to improve via treatment. The current study examined whether abnormalities in social functioning result from aberrant temporal interactions between social motivation and behavior. STUDY DESIGN Participants included 105 individuals at CHR and 62 healthy controls (CN) who completed 6 days of ecological momentary assessment. Multilevel models examined time-lagged interactions between social behavior and motivation. STUDY RESULTS CHR and CN did not differ in social motivation; however, CHR were less likely to interact with family and coworkers and more likely to engage in interactions via phone and text/social media. Autocorrelations indicated that social behavior and motivation were generally consistent across time in CHR and CN groups. Time-lagged analyses indicated that both groups had an increase in social motivation across time when they were alone and a decrease in social motivation across time when they were with others. However, the relative decrease when with others and increase when alone were less robust in CHR than CN, particularly for in-person interactions. Social motivation at time t did not differentially impact social partner or modality at time t+1 in the groups. CONCLUSIONS Findings suggest that social behavior and motivation have different temporal interactions in CHR and CN. Psychosocial interventions may benefit from targeting the frequency of social behavior with specific partners and modalities to change social motivation.
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Affiliation(s)
| | - Ian M Raugh
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Lauren Luther
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
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Theisen C, Rosen M, Meisenzahl E, Koutsouleris N, Lichtenstein T, Ruhrmann S, Kambeitz J, Kambeitz-Ilankovic L, Riecher-Rössler A, Chisholm K, Upthegrove R, Antonucci LA, Bertolino A, Pigoni A, Salokangas RKR, Pantelis C, Wood SJ, Lencer R, Falkai P, Hietala J, Brambilla P, Schmidt A, Andreou C, Borgwardt S, Osman N, Schultze-Lutter F. The heterogeneity of attenuated and brief limited psychotic symptoms: association of contents with age, sex, country, religion, comorbidities, and functioning. Front Psychiatry 2023; 14:1209485. [PMID: 37484669 PMCID: PMC10361815 DOI: 10.3389/fpsyt.2023.1209485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/13/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction The Attenuated Psychosis Symptoms (APS) syndrome mostly represents the ultra-high-risk state of psychosis but, as does the Brief Intermittent Psychotic Symptoms (BIPS) syndrome, shows a large variance in conversion rates. This may be due to the heterogeneity of APS/BIPS that may be related to the effects of culture, sex, age, and other psychiatric morbidities. Thus, we investigated the different thematic contents of APS and their association with sex, age, country, religion, comorbidity, and functioning to gain a better understanding of the psychosis-risk syndrome. Method A sample of 232 clinical high-risk subjects according to the ultra-high risk and basic symptom criteria was recruited as part of a European study conducted in Germany, Italy, Switzerland, and Finland. Case vignettes, originally used for supervision of inclusion criteria, were investigated for APS/BIPS contents, which were compared for sex, age, country, religion, functioning, and comorbidities using chi-squared tests and regression analyses. Result We extracted 109 different contents, mainly of APS (96.8%): 63 delusional, 29 hallucinatory, and 17 speech-disorganized contents. Only 20 contents (18.3%) were present in at least 5% of the sample, with paranoid and referential ideas being the most frequent. Thirty-one (28.5%) contents, in particular, bizarre ideas and perceptual abnormalities, demonstrated an association with age, country, comorbidity, or functioning, with regression models of country and obsessive-compulsive disorders explaining most of the variance: 55.8 and 38.3%, respectively. Contents did not differ between religious groups. Conclusion Psychosis-risk patients report a wide range of different contents of APS/BIPS, underlining the psychopathological heterogeneity of this group but also revealing a potential core set of contents. Compared to earlier reports on North-American samples, our maximum prevalence rates of contents were considerably lower; this likely being related to a stricter rating of APS/BIPS and cultural influences, in particular, higher schizotypy reported in North-America. The various associations of some APS/BIPS contents with country, age, comorbidities, and functioning might moderate their clinical severity and, consequently, the related risk for psychosis and/or persistent functional disability.
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Affiliation(s)
- Christian Theisen
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
- Max-Planck-Institute of Psychiatry, Munich, Germany
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Theresa Lichtenstein
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Research Center Jülich, Institute for Cognitive Neuroscience (INM-3), Jülich, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | - Katharine Chisholm
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
- Department of Psychology, Aston University, Birmingham, United Kingdom
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Linda A. Antonucci
- Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Alessandro Pigoni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, VIC, Australia
| | - Stephen J. Wood
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
- Orygen, The National Centre of Excellence for Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
- Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Jarmo Hietala
- Department of Psychiatry, Medical Faculty, University of Turku, Turku, Finland
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Mental Health, University of Milan, Milan, Italy
| | - André Schmidt
- Department of Psychiatry, University of Basel, Basel, Switzerland
| | - Christina Andreou
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Stefan Borgwardt
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Naweed Osman
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
- Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
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9
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Angers K, Suhr JA, Moe AM. Executively-mediated language skills are related to performance-based social functioning in the early psychosis spectrum. J Psychiatr Res 2023; 164:184-191. [PMID: 37352814 DOI: 10.1016/j.jpsychires.2023.06.010] [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: 03/15/2023] [Revised: 05/25/2023] [Accepted: 06/15/2023] [Indexed: 06/25/2023]
Abstract
Social impairment is a core deficit in psychotic spectrum disorders (PSDs). Prior work shows that language abnormalities can predict psychosis onset and are related to social outcomes in PSDs. Few studies have investigated nuanced relationships between language/verbal abilities and social functioning in the early psychosis spectrum, including at-risk (schizotypy) and first episode of psychosis (FEP) individuals. This study aimed to examine the relationship to between language/verbal performance and performance-based and examiner-rated social functioning. We also aimed to replicate prior models that demonstrate neurocognition is related to social functioning through negative symptoms and social cognition. Low schizotypy (n = 42), high schizotypy (n = 44), and FEP (n = 15) participants completed a battery of language/verbal, social cognition, and social functioning measures. Regression analyses revealed that Proverb Test performance was uniquely and significantly associated with performance-based but not examiner-rated social functioning. Other language/verbal measures were not significantly related to social functioning. In mediational analyses, language/verbal performance was indirectly related to social functioning through negative traits, and also through social cognition. Findings extend support for negative symptom and social cognitive intervention in the early psychosis spectrum, and uniquely suggest that executively-mediated language skills may be an additional target to improve social functioning.
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Affiliation(s)
- Kaley Angers
- Department of Psychiatry, Neuropsychology Section, University of Michigan, Ann Arbor, MI, USA.
| | - Julie A Suhr
- Department of Psychology, Ohio University, Athens, OH, USA
| | - Aubrey M Moe
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA; Department of Psychology, The Ohio State University, Columbus, OH, USA
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10
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Cooper SM, Fusar-Poli P, Uhlhaas PJ. Characteristics and clinical correlates of risk symptoms in individuals at clinical high-risk for psychosis: A systematic review and meta-analysis. Schizophr Res 2023; 254:54-61. [PMID: 36801514 DOI: 10.1016/j.schres.2023.02.011] [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: 06/13/2022] [Revised: 01/19/2023] [Accepted: 02/05/2023] [Indexed: 02/17/2023]
Abstract
Emerging evidence suggests that the duration of risk symptoms (DUR) may have an impact on clinical outcomes in clinical high-risk for psychosis (CHRP) participants. To explore this hypothesis, we performed a meta-analysis on studies that examined DUR in CHR-P individuals in relation to their clinical outcomes. This review was conducted in accordance with the PRISMA guidelines and the protocol was registered with PROSPERO on 16th April 2021 (ID no. CRD42021249443). Literature searches were conducted using PsycINFO and Web of Science in March and November 2021, for studies reporting on DUR in CHR-P populations, in relation to transition to psychosis or symptomatic, functional, or cognitive outcomes. The primary outcome was transition to psychosis, while the secondary outcomes were remission from CHR-P status and functioning at baseline. Thirteen independent studies relating to 2506 CHR-P individuals were included in the meta-analysis. The mean age was 19.88 years (SD = 1.61) and 1194 individuals (47.65 %) were females. The mean length of DUR was 23.61 months (SD = 13.18). There was no meta-analytic effect of DUR on transition to psychosis at 12-month follow-up (OR = 1.000, 95%CI = 0.999-1.000, k = 8, p = .98), while DUR was related to remission (Hedge's g = 0.236, 95%CI = 0.014-0.458, k = 4, p = .037). DUR was not related to baseline GAF scores (beta = -0.004, 95%CI = -0.025-0.017, k = 3, p = .71). The current findings suggest that DUR is not associated with transition to psychosis at 12 months, but may impact remission. However, the database was small and further research in this area is required.
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Affiliation(s)
- Saskia M Cooper
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; OASIS service, South London and Maudsley NHS Foundation Trust, London, United Kingdom; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; National Institute for Health Research Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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11
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Squarcina L, Kambeitz-Ilankovic L, Bonivento C, Prunas C, Oldani L, Wenzel J, Ruef A, Dwyer D, Ferro A, Borgwardt S, Kambeitz J, Lichtenstein TK, Meisenzahl E, Pantelis C, Rosen M, Upthegrove R, Antonucci LA, Bertolino A, Lencer R, Ruhrmann S, Salokangas RRK, Schultze-Lutter F, Chisholm K, Stainton A, Wood SJ, Koutsouleris N, Brambilla P. Relationships between global functioning and neuropsychological predictors in subjects at high risk of psychosis or with a recent onset of depression. World J Biol Psychiatry 2022; 23:573-581. [PMID: 35048791 DOI: 10.1080/15622975.2021.2014955] [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] [Indexed: 01/25/2023]
Abstract
OBJECTIVE Psychotic disorders are frequently associated with decline in functioning and cognitive difficulties are observed in subjects at clinical high risk (CHR) for psychosis. In this work, we applied automatic approaches to neurocognitive and functioning measures, with the aim of investigating the link between global, social and occupational functioning, and cognition. METHODS 102 CHR subjects and 110 patients with recent onset depression (ROD) were recruited. Global assessment of functioning (GAF) related to symptoms (GAF-S) and disability (GAF-D). and global functioning social (GF-S) and role (GF-R), at baseline and of the previous month and year, and a set of neurocognitive measures, were used for classification and regression. RESULTS Neurocognitive measures related to GF-R at baseline (r = 0.20, p = 0.004), GF-S at present (r = 0.14, p = 0.042) and of the past year (r = 0.19, p = 0.005), for GAF-F of the past month (r = 0.24, p < 0.001) and GAF-D of the past year (r = 0.28, p = 0.002). Classification reached values of balanced accuracy of 61% for GF-R and GAF-D. CONCLUSION We found that neurocognition was related to psychosocial functioning. More specifically, a deficit in executive functions was associated to poor social and occupational functioning.
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Affiliation(s)
- Letizia Squarcina
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany.,Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | | | - Cecilia Prunas
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Lucio Oldani
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Julian Wenzel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Dominic Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Adele Ferro
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefan Borgwardt
- Department of Psychiatry, (Psychiatric University Hospital, UPK), University of Basel, Basel, Switzerland.,Department of Psychiatry and Psychotherapy, University of Lubeck, Lubeck, Germany
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Theresa Katharina Lichtenstein
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Rachel Upthegrove
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Linda A Antonucci
- Department of Education, Psychology and Communication, University of Bari "Aldo Moro" - Bari, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Lubeck, Lubeck, Germany.,Institute for Translational Psychiatry, Westfalische-Wilhelms-University Munster, Munster, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | | | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany.,Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
| | - Katharine Chisholm
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Alexandra Stainton
- Centre for Youth Mental Health, University of Melbourne, Parkville, Australia
| | - Stephen J Wood
- Centre for Youth Mental Health, University of Melbourne, Parkville, Australia.,Orygen, Melbourne, Australia.,Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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12
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Lee TY, Hwang WJ, Kim NS, Park I, Lho SK, Moon SY, Oh S, Lee J, Kim M, Woo CW, Kwon JS. Prediction of psychosis: model development and internal validation of a personalized risk calculator. Psychol Med 2022; 52:2632-2640. [PMID: 33315005 PMCID: PMC9647536 DOI: 10.1017/s0033291720004675] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 11/04/2020] [Accepted: 11/11/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Over the past two decades, early detection and early intervention in psychosis have become essential goals of psychiatry. However, clinical impressions are insufficient for predicting psychosis outcomes in clinical high-risk (CHR) individuals; a more rigorous and objective model is needed. This study aims to develop and internally validate a model for predicting the transition to psychosis within 10 years. METHODS Two hundred and eight help-seeking individuals who fulfilled the CHR criteria were enrolled from the prospective, naturalistic cohort program for CHR at the Seoul Youth Clinic (SYC). The least absolute shrinkage and selection operator (LASSO)-penalized Cox regression was used to develop a predictive model for a psychotic transition. We performed k-means clustering and survival analysis to stratify the risk of psychosis. RESULTS The predictive model, which includes clinical and cognitive variables, identified the following six baseline variables as important predictors: 1-year percentage decrease in the Global Assessment of Functioning score, IQ, California Verbal Learning Test score, Strange Stories test score, and scores in two domains of the Social Functioning Scale. The predictive model showed a cross-validated Harrell's C-index of 0.78 and identified three subclusters with significantly different risk levels. CONCLUSIONS Overall, our predictive model showed a predictive ability and could facilitate a personalized therapeutic approach to different risks in high-risk individuals.
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Affiliation(s)
- Tae Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Wu Jeong Hwang
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Nahrie S. Kim
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Inkyung Park
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Silvia Kyungjin Lho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sanghoon Oh
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Junhee Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Minah Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Choong-Wan Woo
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
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13
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Effect of cognitive insight on clinical insight from pre-morbid to early psychosis stages. Psychiatry Res 2022; 313:114613. [PMID: 35569423 DOI: 10.1016/j.psychres.2022.114613] [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: 01/11/2022] [Revised: 04/12/2022] [Accepted: 04/16/2022] [Indexed: 11/20/2022]
Abstract
Poor cognitive insight, including low self-reflectiveness and high self-certainty, contributes to poor clinical insight, which includes awareness of illness, relabelling of specific symptoms, and treatment compliance. However, inconsistent results regarding cognitive insight among individuals at clinical high risk of psychosis (CHR) have been reported. This study investigated the difference in cognitive insight among groups with different severity of positive symptoms and analysed the effect of cognitive insight on clinical insight in each group. All participants, including CHR individuals with 3 or 4 points (L-Pitem, n = 85) and 5 points (H-Pitem, n = 37) on any positive-symptom item of the Scale of Prodromal Syndromes, and patients with first-episode psychosis (FEP, n = 59), were measured cognitive and clinical insight using the Beck Cognitive Insight Scale and the Schedule of Assessment of Insight, respectively. The self-reflectiveness of cognitive insight was highest in the L-Pitem group and lowest in the FEP group. Self-reflectiveness was positively associated with awareness of illness in the L-Pitem and FEP groups; both self-reflectiveness and self-certainty was positively associated with treatment compliance in the L-Pitem group. Improving self-reflectiveness of cognitive insight may conduce to good clinical insight. Self-certainty may have different implication to individuals with mild prodromal symptoms.
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14
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Susai SR, Mongan D, Healy C, Cannon M, Cagney G, Wynne K, Byrne JF, Markulev C, Schäfer MR, Berger M, Mossaheb N, Schlögelhofer M, Smesny S, Hickie IB, Berger GE, Chen EYH, de Haan L, Nieman DH, Nordentoft M, Riecher-Rössler A, Verma S, Street R, Thompson A, Ruth Yung A, Nelson B, McGorry PD, Föcking M, Paul Amminger G, Cotter D. Machine learning based prediction and the influence of complement - Coagulation pathway proteins on clinical outcome: Results from the NEURAPRO trial. Brain Behav Immun 2022; 103:50-60. [PMID: 35341915 DOI: 10.1016/j.bbi.2022.03.013] [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: 11/10/2021] [Revised: 02/21/2022] [Accepted: 03/21/2022] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND Functional outcomes are important measures in the overall clinical course of psychosis and individuals at clinical high-risk (CHR), however, prediction of functional outcome remains difficult based on clinical information alone. In the first part of this study, we evaluated whether a combination of biological and clinical variables could predict future functional outcome in CHR individuals. The complement and coagulation pathways have previously been identified as being of relevance to the pathophysiology of psychosis and have been found to contribute to the prediction of clinical outcome in CHR participants. Hence, in the second part we extended the analysis to evaluate specifically the relationship of complement and coagulation proteins with psychotic symptoms and functional outcome in CHR. MATERIALS AND METHODS We carried out plasma proteomics and measured plasma cytokine levels, and erythrocyte membrane fatty acid levels in a sub-sample (n = 158) from the NEURAPRO clinical trial at baseline and 6 months follow up. Functional outcome was measured using Social and Occupational Functional assessment Score (SOFAS) scale. Firstly, we used support vector machine learning techniques to develop predictive models for functional outcome at 12 months. Secondly, we developed linear regression models to understand the association between 6-month follow-up levels of complement and coagulation proteins with 6-month follow-up measures of positive symptoms summary (PSS) scores and functional outcome. RESULTS AND CONCLUSION A prediction model based on clinical and biological data including the plasma proteome, erythrocyte fatty acids and cytokines, poorly predicted functional outcome at 12 months follow-up in CHR participants. In linear regression models, four complement and coagulation proteins (coagulation protein X, Complement C1r subcomponent like protein, Complement C4A & Complement C5) indicated a significant association with functional outcome; and two proteins (coagulation factor IX and complement C5) positively associated with the PSS score. Our study does not provide support for the utility of cytokines, proteomic or fatty acid data for prediction of functional outcomes in individuals at high-risk for psychosis. However, the association of complement protein levels with clinical outcome suggests a role for the complement system and the activity of its related pathway in the functional impairment and positive symptom severity of CHR patients.
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Affiliation(s)
- Subash Raj Susai
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
| | - David Mongan
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Colm Healy
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Mary Cannon
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Gerard Cagney
- School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Dublin, Ireland
| | - Kieran Wynne
- School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Dublin, Ireland; Systems Biology Ireland, University College Dublin, Dublin, Ireland
| | - Jonah F Byrne
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Connie Markulev
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Orygen, 35 Poplar Rd, Parkville 3052, Australia
| | - Miriam R Schäfer
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Orygen, 35 Poplar Rd, Parkville 3052, Australia
| | - Maximus Berger
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Department of Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Nilufar Mossaheb
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Monika Schlögelhofer
- BioPsyC-Biopsychosocial Corporation - Non-Profit Association for Research Funding, Vienna, Austria
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Gregor E Berger
- Child and Adolescent Psychiatric Service of the Canton of Zurich, Zürich, Switzerland
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Lieuwe de Haan
- Department of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands
| | - Dorien H Nieman
- Department of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands
| | - Merete Nordentoft
- Mental Health Center Copenhagen, Department of Clinical Medicine, Copenhagen University Hospital, Denmark
| | | | - Swapna Verma
- Institute of Mental Health, Singapore, Singapore
| | - Rebekah Street
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Orygen, 35 Poplar Rd, Parkville 3052, Australia
| | - Andrew Thompson
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Orygen, 35 Poplar Rd, Parkville 3052, Australia
| | - Alison Ruth Yung
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, Australia; School of Health Sciences, University of Manchester, UK
| | - Barnaby Nelson
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Orygen, 35 Poplar Rd, Parkville 3052, Australia
| | - Patrick D McGorry
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Orygen, 35 Poplar Rd, Parkville 3052, Australia
| | - Melanie Föcking
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - G Paul Amminger
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; Orygen, 35 Poplar Rd, Parkville 3052, Australia
| | - David Cotter
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
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15
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Catalan A, Radua J, McCutcheon R, Aymerich C, Pedruzo B, González-Torres MÁ, Baldwin H, Stone WS, Giuliano AJ, McGuire P, Fusar-Poli P. Examining the variability of neurocognitive functioning in individuals at clinical high risk for psychosis: a meta-analysis. Transl Psychiatry 2022; 12:198. [PMID: 35551176 PMCID: PMC9098884 DOI: 10.1038/s41398-022-01961-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 04/18/2022] [Accepted: 04/27/2022] [Indexed: 11/09/2022] Open
Abstract
This study aims to meta-analytically characterize the presence and magnitude of within-group variability across neurocognitive functioning in young people at Clinical High-Risk for psychosis (CHR-P) and comparison groups. Multistep, PRISMA/MOOSE-compliant systematic review (PROSPERO-CRD42020192826) of the Web of Science database, Cochrane Central Register of Reviews and Ovid/PsycINFO and trial registries up to July 1, 2020. The risk of bias was assessed using a modified version of the NOS for cohort and cross-sectional studies. Original studies reporting neurocognitive functioning in individuals at CHR-P compared to healthy controls (HC) or first-episode psychosis (FEP) patients were included. The primary outcome was the random-effect meta-analytic variability ratios (VR). Secondary outcomes included the coefficient of variation ratios (CVR). Seventy-eight studies were included, relating to 5162 CHR-P individuals, 2865 HC and 486 FEP. The CHR-P group demonstrated higher variability compared to HC (in descending order of magnitude) in visual memory (VR: 1.41, 95% CI 1.02-1.94), executive functioning (VR: 1.31, 95% CI 1.18-1.45), verbal learning (VR: 1.29, 95% CI 1.15-1.45), premorbid IQ (VR: 1.27, 95% CI 1.09-1.49), processing speed (VR: 1.26, 95% CI 1.07-1.48), visual learning (VR: 1.20, 95% CI 1.07-1.34), and reasoning and problem solving (VR: 1.17, 95% CI 1.03-1.34). In the CVR analyses the variability in CHR-P population remains in the previous neurocognitive domains and emerged in attention/vigilance, working memory, social cognition, and visuospatial ability. The CHR-P group transitioning to psychosis showed greater VR in executive functioning compared to those not developing psychosis and compared to FEP groups. Clinical high risk for psychosis subjects shows increased variability in neurocognitive performance compared to HC. The main limitation of this study is the validity of the VR and CVR as an index of variability which has received debate. This finding should be explored by further individual-participant data research and support precision medicine approaches.
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Affiliation(s)
- Ana Catalan
- Mental Health Department. Basurto University Hospital. Biocruces Bizkaia Health Research Institute. Department of Neuroscience, Campus de Leioa, University of the Basque Country, UPV/EHU. Plaza de Cruces 12. 48903, Barakaldo, Bizkaia, Spain. .,Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Joaquim Radua
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,grid.10403.360000000091771775Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Mental Health Research Networking Center (CIBERSAM), Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain ,grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Robert McCutcheon
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Claudia Aymerich
- grid.414269.c0000 0001 0667 6181Psychiatry Department, Basurto University Hospital, Bilbao, Spain
| | - Borja Pedruzo
- grid.414269.c0000 0001 0667 6181Psychiatry Department, Basurto University Hospital, Bilbao, Spain
| | - Miguel Ángel González-Torres
- grid.11480.3c0000000121671098Mental Health Department. Basurto University Hospital. Biocruces Bizkaia Health Research Institute. Department of Neuroscience, Campus de Leioa, University of the Basque Country, UPV/EHU. Plaza de Cruces 12. 48903, Barakaldo, Bizkaia Spain
| | - Helen Baldwin
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - William S. Stone
- grid.239395.70000 0000 9011 8547Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | - Anthony J. Giuliano
- grid.435881.30000 0001 0394 0960Worcester Recovery Center & Hospital, Massachusetts Department of Mental Health, Boston, MA USA
| | - Philip McGuire
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paolo Fusar-Poli
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,grid.8982.b0000 0004 1762 5736Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy ,grid.451056.30000 0001 2116 3923National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), London, UK ,grid.37640.360000 0000 9439 0839Outreach and Support in South London (OASIS) service, South London and Maudsley NHS Foundation Trust, London, UK
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16
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Clinical high risk for psychosis in children and adolescents: A meta-analysis of transition prevalences. Schizophr Res 2022; 243:254-261. [PMID: 32307261 DOI: 10.1016/j.schres.2020.03.063] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 03/12/2020] [Accepted: 03/28/2020] [Indexed: 11/22/2022]
Abstract
The strategic value of early, preventive intervention in psychosis has been a catalytic stepping stone to promoting early intervention in Mental Health. Central to such momentum is the construct of clinical high risk states for psychosis (CHR). While CHR emerge in developmental years, the meta-analytical risk of psychosis among children and adolescents (age 9-18 years) at CHR is still unknown. We conducted a meta-analysis according to PRISMA guidelines including all studies that assessed CHR in children and adolescents (age ≤ 18 years) with validated instruments and provided follow-data on transition to psychosis up to December 31, 2018. We identified 11 eligible studies. Mean age was 15.8 ± 0.8 years, range: 13.8 to 16.8. Transition to psychosis occurred in 93 CHR subjects out of 533 that were enrolled at inception, over a follow-up period ranging from 6 to 72 months. Conversion prevalence was 17.5% (95% CI: 9.9% to 26.5%) in the random-effects model (Q = 30.9; p < .001; I2 = 68%), and slightly lower (16.0; 12.9% to 19.5%) in the fixed-effect model. Gender ratio, the criteria used to diagnose the CHR status, and quality of studies had an impact on the estimates of conversion prevalence in the intention-to-treat model without the outlier. Studies of fair quality produced lower estimates of conversion prevalence (11%; 95% CI: 2% to 24%) than those produced by studies of good quality (19%; 95% CI: 11% to 28%). These findings suggest that CHR in adolescence presents commensurable transition prevalences to those found in adult samples, confirming the relevance of CHR criteria for timely risk inception in developmental years. Outcomes other than transition to psychosis (e.g. remission, persistent CHR, socio-functional status or treatment responses) were not systematically reported thereby preventing further, more sophisticated, prognostic stratifications.
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17
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Lepock JR, Mizrahi R, Gerritsen CJ, Bagby RM, Maheandiran M, Ahmed S, Korostil M, Kiang M. N400 event-related brain potential and functional outcome in persons at clinical high risk for psychosis: A longitudinal study. Psychiatry Clin Neurosci 2022; 76:114-121. [PMID: 35037344 DOI: 10.1111/pcn.13330] [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: 09/15/2021] [Revised: 12/10/2021] [Accepted: 12/27/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND The N400 event-related brain potential (ERP) semantic priming effect is thought to reflect activation by meaningful stimuli of related concepts in semantic memory and has been found to be deficient in schizophrenia. We tested the hypothesis that, among individuals at clinical high risk (CHR) for psychosis, N400 semantic priming deficits predict worse symptomatic and functional outcomes after one year. METHODS We measured N400 semantic priming at baseline in CHR patients (n = 47) and healthy control participants (n = 25) who viewed prime words each followed by a related or unrelated target word, at stimulus-onset asynchronies (SOAs) of 300 or 750 ms. We measured patients' psychosis-like symptoms with the Scale of Prodromal Symptoms (SOPS) Positive subscale, and academic/occupational and social functioning with the Global Functioning (GF):Role and Social scales, respectively, at baseline and one-year follow-up (n = 29). RESULTS CHR patients exhibited less N400 semantic priming than controls across SOAs; planned contrasts indicated this difference was significant at the 750-ms but not the 300-ms SOA. In patients, reduced N400 semantic priming at the 750-ms SOA was associated with lower GF:Social scores at follow-up, and greater GF:Social decrements from baseline to follow-up. Patients' N400 semantic priming was not associated with SOPS Positive or GF:Role scores at follow-up, or change in these from baseline to follow-up. CONCLUSIONS In CHR patients, reduced N400 semantic priming at baseline predicted worse social functioning after one year, and greater decline in social functioning over this period. Thus, the N400 may be a useful prognostic biomarker of real-world functional outcome in CHR patients.
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Affiliation(s)
- Jennifer R Lepock
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.,Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Romina Mizrahi
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Cory J Gerritsen
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada
| | - R Michael Bagby
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.,Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | | | - Sarah Ahmed
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.,Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Michele Korostil
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.,St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Michael Kiang
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.,Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
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18
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Schultze-Lutter F, Walger P, Franscini M, Traber-Walker N, Osman N, Walger H, Schimmelmann BG, Flückiger R, Michel C. Clinical high-risk criteria of psychosis in 8–17-year-old community subjects and inpatients not suspected of developing psychosis. World J Psychiatry 2022; 12:425-449. [PMID: 35433326 PMCID: PMC8968502 DOI: 10.5498/wjp.v12.i3.425] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 07/26/2021] [Accepted: 09/19/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND In children and adolescents compared to adults, clinical high-risk of psychosis (CHR) criteria and symptoms are more prevalent but less psychosis-predictive and less clinically relevant. Based on high rates of non-converters to psychosis, especially in children and adolescents, it was suggested that CHR criteria were: (1) Pluripotential; (2) A transdiagnostic risk factor; and (3) Simply a severity marker of mental disorders rather than specifically psychosis-predictive. If any of these three alternative explanatory models were true, their prevalence should differ between persons with and without mental disorders, and their severity should be associated with functional impairment as a measure of severity.
AIM To compare the prevalence and severity of CHR criteria/symptoms in children and adolescents of the community and inpatients.
METHODS In the mainly cross-sectional examinations, 8–17-year-old community subjects (n = 233) randomly chosen from the population register of the Swiss Canton Bern, and inpatients (n = 306) with primary diagnosis of attention-deficit/hyperactivity disorder (n = 86), eating disorder (n = 97), anxiety including obsessive–compulsive disorder (n = 94), or autism spectrum disorder (n = 29), not clinically suspected to develop psychosis, were examined for CHR symptoms/criteria. Positive items of the Structured Interview for Psychosis-Risk Syndromes (SIPS) were used to assess the symptomatic ultra-high-risk criteria, and the Schizophrenia Proneness Instrument, Child and Youth version (SPI-CY) was used to assess the 14 basic symptoms relevant to basic symptom criteria. We examined group differences in frequency and severity of CHR symptoms/criteria using χ2 tests and nonparametric tests with Cramer’s V and Rosenthal’s r as effect sizes, and their association with functioning using correlation analyses.
RESULTS The 7.3% prevalence rate of CHR criteria in community subjects did not differ significantly from the 9.5% rate in inpatients. Frequency and severity of CHR criteria never differed between the community and the four inpatient groups, while the frequency and severity of CHR symptoms differed only minimally. Group differences were found in only four CHR symptoms: suspiciousness/persecutory ideas of the SIPS [χ2 (4) = 9.425; P = 0.051, Cramer’s V = 0.132; and Z = -4.281, P < 0.001; Rosenthal’s r = 0.184], and thought pressure [χ2 (4) = 11.019; P = 0.026, Cramer’s V = 0.143; and Z = -2.639, P = 0.008; Rosenthal’s r = 0.114], derealization [χ2 (4) = 32.380; P < 0.001, Cramer’s V = 0.245; and Z = -3.924, P < 0.001; Rosenthal’s r = 0.169] and visual perception disturbances [χ2 (4) = 10.652; P = 0.031, Cramer’s V = 0.141; and Z = -2.822, P = 0.005; Rosenthal’s r = 0.122] of the SPI-CY. These were consistent with a transdiagnostic risk factor or dimension, i.e., displayed higher frequency and severity in inpatients, in particular in those with eating, anxiety/obsessive–compulsive and autism spectrum disorders. Low functioning, however, was at most weakly related to the severity of CHR criteria/symptoms, with the highest correlation yielded for suspiciousness/persecutory ideas (Kendall’s tau = -0.172, P < 0.001).
CONCLUSION The lack of systematic differences between inpatients and community subjects does not support suggestions that CHR criteria/symptoms are pluripotential or transdiagnostic syndromes, or merely markers of symptom severity.
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Affiliation(s)
- Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf 40629, North-Rhine Westphalia, Germany
- Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya 60286, Indonesia
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern 3000, Switzerland
| | - Petra Walger
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf 40629, North-Rhine Westphalia, Germany
| | - Maurizia Franscini
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Zürich, Zürich 8032, Germany
| | - Nina Traber-Walker
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Zürich, Zürich 8032, Germany
| | - Naweed Osman
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf 40629, North-Rhine Westphalia, Germany
| | - Helene Walger
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich 80336, Bavaria, Germany
| | - Benno G Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern 3000, Switzerland
- University Hospital of Child and Adolescent Psychiatry, University Hospital Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Rahel Flückiger
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern 3000, Switzerland
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern 3000, Switzerland
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19
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Léger M, Wolff V, Kabuth B, Albuisson E, Ligier F. The mood disorder spectrum vs. schizophrenia decision tree: EDIPHAS research into the childhood and adolescence of 205 patients. BMC Psychiatry 2022; 22:194. [PMID: 35300648 PMCID: PMC8932125 DOI: 10.1186/s12888-022-03835-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 03/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The early detection of patients at risk of developing schizophrenia and bipolar disorder, and more broadly mood spectrum disorder, is a public health concern. The phenotypical overlap between the prodromes in these disorders calls for a simultaneous investigation into both illness trajectories. METHOD This is an epidemiological, retrospective, multicentre, descriptive study conducted in the Grand-Est region of France in order to describe and compare early symptoms in 205 patients: 123 of which were diagnosed with schizophrenia and 82 with bipolar disorder or mood spectrum disorder. Data corresponding to the pre-morbid and prodromal phases, including a timeline of their onset, were studied in child and adolescent psychiatric records via a data grid based on the literature review conducted from birth to 17 years of age. RESULTS Two distinct trajectories were highlighted. Patients with schizophrenia tended to present more difficulties at each developmental stage, with the emergence of negative and positive behavioural symptoms during adolescence. Patients with mood spectrum disorder, however, were more likely to exhibit anxiety and then mood-related symptoms. Overall, our results corroborate current literature findings and are consistent with the neurodevelopmental process. We succeeded in extracting a decision tree with good predictability based on variables relating to one diagnosis: 77.6% of patients received a well-indexed diagnosis. An atypical profile was observed in future mood spectrum disorder patients as some exhibited numerous positive symptoms alongside more conventional mood-related symptoms. CONCLUSION The combination of all these data could help promote the early identification of high-risk patients thereby facilitating early prevention and appropriate intervention in order to improve outcomes.
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Affiliation(s)
- Mathilde Léger
- Pôle Universitaire de Psychiatrie de l’Enfant et de l’Adolescent [University Department of Childhood and Adolescent Psychiatry], Centre Psychothérapique de Nancy [Nancy Psychotherapy Centre], F-54520 Laxou, France
| | - Vanessa Wolff
- Pôle Universitaire de Psychiatrie de l’Enfant et de l’Adolescent [University Department of Childhood and Adolescent Psychiatry], Centre Psychothérapique de Nancy [Nancy Psychotherapy Centre], F-54520 Laxou, France
| | - Bernard Kabuth
- Pôle Universitaire de Psychiatrie de l’Enfant et de l’Adolescent [University Department of Childhood and Adolescent Psychiatry], Centre Psychothérapique de Nancy [Nancy Psychotherapy Centre], F-54520 Laxou, France ,grid.29172.3f0000 0001 2194 6418EA 4432, PRISME, Université de Lorraine [Lorraine University], Laxou, France
| | - Eliane Albuisson
- grid.410527.50000 0004 1765 1301DRCI UMDS, Centre Hospitalier Universitaire de Nancy, Nancy University Hospital, Laxou, France
| | - Fabienne Ligier
- Pôle Universitaire de Psychiatrie de l'Enfant et de l'Adolescent [University Department of Childhood and Adolescent Psychiatry], Centre Psychothérapique de Nancy [Nancy Psychotherapy Centre], F-54520, Laxou, France. .,EA 4360 APEMAC, Université de Lorraine, Laxou, France.
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20
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Keefe RSE, Woods SW, Cannon TD, Ruhrmann S, Mathalon DH, McGuire P, Rosenbrock H, Daniels K, Cotton D, Roy D, Pollentier S, Sand M. A randomized Phase II trial evaluating efficacy, safety, and tolerability of oral BI 409306 in attenuated psychosis syndrome: Design and rationale. Early Interv Psychiatry 2021; 15:1315-1325. [PMID: 33354862 PMCID: PMC8451588 DOI: 10.1111/eip.13083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/23/2020] [Accepted: 11/14/2020] [Indexed: 12/17/2022]
Abstract
AIM Attenuated psychosis syndrome (APS), a condition for further study in the Diagnostic and Statistical Manual of Mental Disorders-5, comprises psychotic symptoms that are qualitatively similar to those observed in schizophrenia but are less severe. Patients with APS are at high risk of converting to first-episode psychosis (FEP). As evidence for effective pharmacological interventions in APS is limited, novel treatments may provide symptomatic relief and delay/prevent psychotic conversion. This trial aims to investigate the efficacy, safety, and tolerability of BI 409306, a potent and selective phosphodiesterase-9 inhibitor, versus placebo in APS. Novel biomarkers of psychosis are being investigated. METHODS In this Phase II, multinational, double-blind, parallel-group trial, randomized (1:1) patients will receive BI 409306 50 mg or placebo twice daily for 52 weeks. Patients (n = 300) will be enrolled to determine time to remission of APS, time to FEP, change in everyday functional capacity (Schizophrenia Cognition Rating Scale), and change from baseline in Brief Assessment of Cognition composite score and Positive and Negative Syndrome Scale scores. Potential biomarkers of psychosis under investigation include functional measures of brain activity and automated speech analyses. Safety is being assessed throughout. CONCLUSIONS This trial will determine whether BI 409306 is superior to placebo in achieving sustainable remission of APS and improvements in cognition and functional capacity. These advances may provide evidence-based treatment options for symptomatic relief in APS. Furthermore, the study will assess the effect of BI 409306 on psychotic conversion and explore the identification of patients at risk for conversion using novel biomarkers.
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Affiliation(s)
- Richard S. E. Keefe
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
- VeraSciDurhamNCUSA
| | - Scott W. Woods
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - Tyrone D. Cannon
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
- Department of PsychologyYale UniversityNew HavenConnecticutUSA
| | - Stephan Ruhrmann
- Department of Psychiatry and PsychotherapyUniversity of CologneCologneGermany
| | - Daniel H. Mathalon
- Department of PsychologyUCSF School of MedicineSan FranciscoCaliforniaUSA
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | | | - Kristen Daniels
- Boehringer Ingelheim Pharmaceuticals Inc.RidgefieldConnecticutUSA
| | - Daniel Cotton
- Boehringer Ingelheim Pharmaceuticals Inc.RidgefieldConnecticutUSA
| | - Dooti Roy
- Boehringer Ingelheim Pharmaceuticals Inc.RidgefieldConnecticutUSA
| | | | - Michael Sand
- Boehringer Ingelheim Pharmaceuticals Inc.RidgefieldConnecticutUSA
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21
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Raballo A, Poletti M, Preti A. Individualized Diagnostic and Prognostic Models for Psychosis Risk Syndromes: Do Not Underestimate Antipsychotic Exposure. Biol Psychiatry 2021; 90:e33-e35. [PMID: 34001370 DOI: 10.1016/j.biopsych.2021.01.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/12/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Andrea Raballo
- Section of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Italy; Center for Translational, Phenomenological and Developmental Psychopathology, Perugia University Hospital, Perugia, Italy.
| | - Michele Poletti
- Child and Adolescent Neuropsychiatry Service, Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Antonio Preti
- Department of Neuroscience, University of Turin, Turin, Italy
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22
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Mittal VA, Ellman LM, Strauss GP, Walker EF, Corlett PR, Schiffman J, Woods SW, Powers AR, Silverstein SM, Waltz JA, Zinbarg R, Chen S, Williams T, Kenney J, Gold JM. Computerized Assessment of Psychosis Risk. JOURNAL OF PSYCHIATRY AND BRAIN SCIENCE 2021; 6:e210011. [PMID: 34307899 PMCID: PMC8302046 DOI: 10.20900/jpbs.20210011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Early detection and intervention with young people at clinical high risk (CHR) for psychosis is critical for prevention efforts focused on altering the trajectory of psychosis. Early CHR research largely focused on validating clinical interviews for detecting at-risk individuals; however, this approach has limitations related to: (1) specificity (i.e., only 20% of CHR individuals convert to psychosis) and (2) the expertise and training needed to administer these interviews is limited. The purpose of our study is to develop the computerized assessment of psychosis risk (CAPR) battery, consisting of behavioral tasks that require minimal training to administer, can be administered online, and are tied to the neurobiological systems and computational mechanisms implicated in psychosis. The aims of our study are as follows: (1A) to develop a psychosis-risk calculator through the application of machine learning (ML) methods to the measures from the CAPR battery, (1B) evaluate group differences on the risk calculator score and test the hypothesis that the risk calculator score of the CHR group will differ from help-seeking and healthy controls, (1C) evaluate how baseline CAPR battery performance relates to symptomatic outcome two years later (i.e., conversion and symptomatic worsening). These aims will be explored in 500 CHR participants, 500 help-seeking individuals, and 500 healthy controls across the study sites. This project will provide a next-generation CHR battery, tied to illness mechanisms and powered by cutting-edge computational methods that can be used to facilitate the earliest possible detection of psychosis risk.
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Affiliation(s)
- Vijay A. Mittal
- Institutes for Policy Research (IPR) and Innovations in Developmental Sciences (DevSci), Departments of Psychology, Psychiatry, Medical Social Sciences, Northwestern University, Evanston, IL 60208, USA
| | - Lauren M. Ellman
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Gregory P. Strauss
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA 30602, USA
| | - Elaine F. Walker
- Department of Psychology and Program in Neuroscience, Emory University, Atlanta, GA 30322, USA
| | | | - Jason Schiffman
- Department of Psychological Science, 4201 Social and Behavioral Sciences Gateway, University of California, Irvine, CA 92697, USA
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - Albert R. Powers
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - Steven M. Silverstein
- Center for Visual Science, Departments of Psychiatry, Neuroscience and Ophthalmology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - James A. Waltz
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
| | - Richard Zinbarg
- Department of Psychology, Northwestern University, Evanston, IL 60208, USA
- The Family Institute at Northwestern University, Evanston, IL 60208, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
| | - Trevor Williams
- Department of Psychology, Northwestern University, Evanston, IL 60208, USA
| | - Joshua Kenney
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - James M. Gold
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
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23
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Polari A, Yuen HP, Amminger P, Berger G, Chen E, deHaan L, Hartmann J, Markulev C, McGorry P, Nieman D, Nordentoft M, Riecher-Rössler A, Smesny S, Stratford J, Verma S, Yung A, Lavoie S, Nelson B. Prediction of clinical outcomes beyond psychosis in the ultra-high risk for psychosis population. Early Interv Psychiatry 2021; 15:642-651. [PMID: 32558302 DOI: 10.1111/eip.13002] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/16/2020] [Accepted: 05/18/2020] [Indexed: 12/11/2022]
Abstract
AIM Several prediction models have been introduced to identify young people at greatest risk of transitioning to psychosis. To date, none has examined the possibility of developing a clinical prediction model of outcomes other than transition. The aims of this study were to examine the association between baseline clinical predictors and outcomes including, but not limited to, transition to psychosis in young people at risk for psychosis, and to develop a prediction model for these outcomes. METHODS Several evidence-based variables previously associated with transition to psychosis and some important clinical comorbidities experienced by ultra-high risk (UHR) individuals were identified in 202 UHR individuals. Secondary analysis of the Neurapro clinical trial were conducted to investigate the associations between these variables and favourable (remission and recovery) or unfavourable (transition to psychosis, no remission, any recurrence and relapse) clinical outcomes. Logistic regression, best subset selection, Akaike Information Criterion and receiver operating characteristic curves were used to seek the best prediction model for clinical outcomes from all combinations of possible predictors. RESULTS When considered individually, only higher general psychopathology levels (P = .023) was associated with the unfavourable outcomes. Prediction models suggest that general psychopathology and functioning are predictive of unfavourable outcomes. CONCLUSION The predictive performance of the resulting models was modest and further research is needed. Nonetheless, when designing early intervention centres aiming to support individuals in the early phases of a mental disorder, the proper assessment of general psychopathology and functioning should be considered in order to inform interventions and length of care provided.
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Affiliation(s)
| | - Hok Pan Yuen
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Amminger
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Gregor Berger
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - Eric Chen
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Lieuwe deHaan
- Academic Medical Centre, University of Amsterdam and Arkin Institute for Mental Health, Amsterdam, The Netherlands
| | - Jessica Hartmann
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Connie Markulev
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Patrick McGorry
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Dorien Nieman
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | | | | | - Stefan Smesny
- Department of Psychiatry, Universitätsklinikum Jena, Jena, Germany
| | | | - Swapna Verma
- Early Psychosis Intervention Programme (EPIP), Institute of Mental Health, Singapore, Singapore
| | - Alison Yung
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Suzie Lavoie
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
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24
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Wu J, Long X, Liu F, Qi A, Chen Q, Guan X, Zhang Q, Yao Y, Shi J, Xie S, Yan W, Hu M, Yuan X, Tang J, Wu S, Zhang T, Wang J, Lu Z. Screening of the college students at clinical high risk for psychosis in China: a multicenter epidemiological study. BMC Psychiatry 2021; 21:253. [PMID: 34001048 PMCID: PMC8127262 DOI: 10.1186/s12888-021-03229-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 04/21/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND To investigate a 3-stage screening procedure and explore the clinical features of subjects at Clinical High Risk (CHR) for psychosis in a representative sample of Chinese college students. METHODS An epidemiological survey of the prevalence of the CHR syndrome in Chinese college students that was selected by stratified random sampling from Shanghai, Nanjing and Nanchang cities was done following a 3-stage procedure. Participants were initially screened with the Prodromal Questionnaire-brief version (PQ-B), and whose distress score of PQ-B exceeded 24 would be invited to a telephone assessment using the subscale for positive symptoms of the Scale of Prodromal Symptoms (SOPS)/Structured Interview for Prodromal Syndromes (SIPS). Lastly, participants who scored 3 or higher in any item of the subscale would be administered with the SIPS interview conducted by trained researchers to confirm the diagnosis of CHR syndrome. RESULTS Twenty-three thousand sixty-three college students completed the survey during September 2017 to October 2018. Seventy-two students were diagnosed as CHR subjects, and the detection rate in the total sample was 0.3%. The peak age range for the first diagnosis of CHR was 17 to 20 years. Thirteen and forty-six were set as the cutoff points of PQ-B total score and distress score to balance the greatest sensitivity and specificity. Binary logistic regression revealed that 8 items in PQ-B showed significant distinction for detecting CHR subjects. CONCLUSIONS The 3-stage screening method can be utilized in the detection of CHR subjects for psychosis in the general population, during which delusional ideas, perceptual abnormalities and suspiciousness deserve great attention.
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Affiliation(s)
- Jiaxin Wu
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China ,grid.24516.340000000123704535Tongji University School of Medicine, Shanghai, 200092 PR China
| | - Xiangyun Long
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China ,grid.24516.340000000123704535Tongji University School of Medicine, Shanghai, 200092 PR China
| | - Fei Liu
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Ansi Qi
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Qi Chen
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Xiaofeng Guan
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Qiong Zhang
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Yuhong Yao
- grid.24516.340000000123704535Tongji University School of Medicine, Shanghai, 200092 PR China
| | - Jingyu Shi
- grid.24516.340000000123704535Tongji University School of Medicine, Shanghai, 200092 PR China
| | - Shiping Xie
- grid.89957.3a0000 0000 9255 8984Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029 PR China
| | - Wei Yan
- grid.89957.3a0000 0000 9255 8984Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029 PR China
| | - Maorong Hu
- grid.412604.50000 0004 1758 4073Department of Psychiatry, The First Affiliated Hospital of Nanchang University, Nanchang, 330006 PR China
| | - Xin Yuan
- grid.412604.50000 0004 1758 4073Department of Psychiatry, The First Affiliated Hospital of Nanchang University, Nanchang, 330006 PR China
| | - Jun Tang
- grid.412604.50000 0004 1758 4073Department of Psychiatry, The First Affiliated Hospital of Nanchang University, Nanchang, 330006 PR China
| | - Siliang Wu
- grid.412604.50000 0004 1758 4073Department of Psychiatry, The First Affiliated Hospital of Nanchang University, Nanchang, 330006 PR China
| | - Tianhong Zhang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030 PR China
| | - Jijun Wang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030 PR China
| | - Zheng Lu
- Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065, PR China. .,Tongji University School of Medicine, Shanghai, 200092, PR China.
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Rosen M, Betz LT, Schultze-Lutter F, Chisholm K, Haidl TK, Kambeitz-Ilankovic L, Bertolino A, Borgwardt S, Brambilla P, Lencer R, Meisenzahl E, Ruhrmann S, Salokangas RKR, Upthegrove R, Wood SJ, Koutsouleris N, Kambeitz J. Towards clinical application of prediction models for transition to psychosis: A systematic review and external validation study in the PRONIA sample. Neurosci Biobehav Rev 2021; 125:478-492. [PMID: 33636198 DOI: 10.1016/j.neubiorev.2021.02.032] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 01/14/2021] [Accepted: 02/20/2021] [Indexed: 01/13/2023]
Abstract
A multitude of prediction models for a first psychotic episode in individuals at clinical high-risk (CHR) for psychosis have been proposed, but only rarely validated. We identified transition models based on clinical and neuropsychological data through a registered systematic literature search and evaluated their external validity in 173 CHRs from the Personalised Prognostic Tools for Early Psychosis Management (PRONIA) study. Discrimination performance was assessed with the area under the receiver operating characteristic curve (AUC), and compared to the prediction of clinical raters. External discrimination performance varied considerably across the 22 identified models (AUC 0.40-0.76), with two models showing good discrimination performance. None of the tested models significantly outperformed clinical raters (AUC = 0.75). Combining predictions of clinical raters and the best model descriptively improved discrimination performance (AUC = 0.84). Results show that personalized prediction of transition in CHR is potentially feasible on a global scale. For implementation in clinical practice, further rounds of external validation, impact studies, and development of an ethical framework is necessary.
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Affiliation(s)
- Marlene Rosen
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Linda T Betz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surabaya, Indonesia; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Katharine Chisholm
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK; Department of Psychology, Aston University, Birmingham, UK
| | - Theresa K Haidl
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Alessandro Bertolino
- Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy
| | - Stefan Borgwardt
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany; Department of Psychiatry, Psychiatric University Hospital, University of Basel, Switzerland
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany; Department of Psychiatry, University of Münster, Münster, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | | | - Rachel Upthegrove
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Stephen J Wood
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK; Orygen, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; Max-Planck Institute of Psychiatry, Munich, Germany; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany.
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Brucato G, First MB, Dishy GA, Samuel SS, Xu Q, Wall MM, Small SA, Masucci MD, Lieberman JA, Girgis RR. Recency and intensification of positive symptoms enhance prediction of conversion to syndromal psychosis in clinical high-risk patients. Psychol Med 2021; 51:112-120. [PMID: 31658912 DOI: 10.1017/s0033291719003040] [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: 11/07/2022]
Abstract
BACKGROUND Early detection and intervention strategies in patients at clinical high-risk (CHR) for syndromal psychosis have the potential to contain the morbidity of schizophrenia and similar conditions. However, research criteria that have relied on severity and number of positive symptoms are limited in their specificity and risk high false-positive rates. Our objective was to examine the degree to which measures of recency of onset or intensification of positive symptoms [a.k.a., new or worsening (NOW) symptoms] contribute to predictive capacity. METHODS We recruited 109 help-seeking individuals whose symptoms met criteria for the Progression Subtype of the Attenuated Positive Symptom Psychosis-Risk Syndrome defined by the Structured Interview for Psychosis-Risk Syndromes and followed every three months for two years or onset of syndromal psychosis. RESULTS Forty-one (40.6%) of 101 participants meeting CHR criteria developed a syndromal psychotic disorder [mostly (80.5%) schizophrenia] with half converting within 142 days (interquartile range: 69-410 days). Patients with more NOW symptoms were more likely to convert (converters: 3.63 ± 0.89; non-converters: 2.90 ± 1.27; p = 0.001). Patients with stable attenuated positive symptoms were less likely to convert than those with NOW symptoms. New, but not worsening, symptoms, in isolation, also predicted conversion. CONCLUSIONS Results suggest that the severity and number of attenuated positive symptoms are less predictive of conversion to syndromal psychosis than the timing of their emergence and intensification. These findings also suggest that the earliest phase of psychotic illness involves a rapid, dynamic process, beginning before the syndromal first episode, with potentially substantial implications for CHR research and understanding the neurobiology of psychosis.
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Affiliation(s)
- Gary Brucato
- Department of Psychiatry, The Center of Prevention & Evaluation (COPE), Columbia University College of Physicians & Surgeons, Columbia University Medical Center, New York State Psychiatric Institute, NY, USA
| | - Michael B First
- Columbia University College of Physicians & Surgeons, Columbia University Medical Center, New York State Psychiatric Institute, NY, USA
| | | | | | - Qing Xu
- New York State Psychiatric Institute, NY, USA
| | - Melanie M Wall
- Columbia University College of Physicians & Surgeons, Columbia University Medical Center, New York State Psychiatric Institute, NY, USA
| | - Scott A Small
- Alzheimer's Disease Research Center, Departments of Neurology, Psychiatry, Radiology, Columbia University, NY, USA
| | | | - Jeffrey A Lieberman
- Columbia University, Vagelos College of Physicians and Surgeons, Director, New York State Psychiatric Institute Psychiatrist-in-Chief, New York Presbyterian Hospital-Columbia University Medical Center, NY, USA
| | - Ragy R Girgis
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, and New York> State Psychiatric Institute, NY, USA
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27
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Carrión RE, Auther AM, McLaughlin D, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Keshavan M, Mathalon DH, McGlashan TH, Perkins DO, Seidman L, Stone W, Tsuang M, Walker EF, Woods SW, Torous J, Cornblatt BA. Social decline in the psychosis prodrome: Predictor potential and heterogeneity of outcome. Schizophr Res 2021; 227:44-51. [PMID: 33131983 DOI: 10.1016/j.schres.2020.09.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 07/13/2020] [Accepted: 09/11/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND While an established clinical outcome of high importance, social functioning has been emerging as possibly having a broader significance to the evolution of psychosis and long term disability. In the current study we explored the association between social decline, conversion to psychosis, and functional outcome in individuals at clinical high risk (CHR) for psychosis. METHODS 585 subjects collected in the North American Prodrome Longitudinal Study (NAPLS2) were divided into 236 Healthy Controls (HCs), and CHR subjects that developed psychosis (CHR + C, N = 79), or those that did not (Non-Converters, CHR-NC, N = 270). CHR + C subjects were further divided into those that experienced an atypical decline in social functioning prior to baseline (beyond typical impairment levels) when in min-to-late adolescence (CHR + C-SD, N = 39) or those that did not undergoing a decline (CHR + C-NSD, N = 40). RESULTS Patterns of poor functional outcomes varied across the CHR subgroups: CHR-NC (Poor Social 36.3%, Role 42.2%) through CHR + C-NSD (Poor Social 50%, Poor Role 67.5%) to CHR + C-SD (Poor Social 76.9%, Poor Role 89.7%) functioning. The two Converter subgroups had comparable positive symptoms at baseline. At 12 months, the CHR + C-SD group stabilized, but social functioning levels remained significantly lower than the other two subgroups. CONCLUSIONS The current study demonstrates that pre-baseline social decline in mid-to-late adolescence predicts psychosis. In addition, we found that this social decline in converters is strongly associated with especially poor functional outcome and overall poorer prognosis. Role functioning, in contrast, has not shown similar predictor potential, and rather appears to be an illness indicator that worsens over time.
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Affiliation(s)
- Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States; Institute of Behavioral Science, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States; Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York 11549, United States
| | - Andrea M Auther
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States; Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York 11549, United States
| | - Danielle McLaughlin
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States
| | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior and Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Tyrone D Cannon
- Department of Psychology, Yale University, School of Medicine, New Haven, CT, United States; Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, United States
| | - Thomas H McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Larry Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - William Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Ming Tsuang
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, United States
| | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - John Torous
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States; Institute of Behavioral Science, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States; Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York 11549, United States; Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York 11549, United States.
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28
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Worthington MA, Cannon TD. Prediction and Prevention in the Clinical High-Risk for Psychosis Paradigm: A Review of the Current Status and Recommendations for Future Directions of Inquiry. Front Psychiatry 2021; 12:770774. [PMID: 34744845 PMCID: PMC8569129 DOI: 10.3389/fpsyt.2021.770774] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Abstract
Prediction and prevention of negative clinical and functional outcomes represent the two primary objectives of research conducted within the clinical high-risk for psychosis (CHR-P) paradigm. Several multivariable "risk calculator" models have been developed to predict the likelihood of developing psychosis, although these models have not been translated to clinical use. Overall, less progress has been made in developing effective interventions. In this paper, we review the existing literature on both prediction and prevention in the CHR-P paradigm and, primarily, outline ways in which expanding and combining these paths of inquiry could lead to a greater improvement in individual outcomes for those most at risk.
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Affiliation(s)
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, United States.,Department of Psychiatry, Yale University, New Haven, CT, United States
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29
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Corcoran CM, Mittal VA, Bearden CE, E Gur R, Hitczenko K, Bilgrami Z, Savic A, Cecchi GA, Wolff P. Language as a biomarker for psychosis: A natural language processing approach. Schizophr Res 2020; 226:158-166. [PMID: 32499162 PMCID: PMC7704556 DOI: 10.1016/j.schres.2020.04.032] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/22/2020] [Accepted: 04/24/2020] [Indexed: 12/21/2022]
Abstract
Human ratings of conceptual disorganization, poverty of content, referential cohesion and illogical thinking have been shown to predict psychosis onset in prospective clinical high risk (CHR) cohort studies. The potential value of linguistic biomarkers has been significantly magnified, however, by recent advances in natural language processing (NLP) and machine learning (ML). Such methodologies allow for the rapid and objective measurement of language features, many of which are not easily recognized by human raters. Here we review the key findings on language production disturbance in psychosis. We also describe recent advances in the computational methods used to analyze language data, including methods for the automatic measurement of discourse coherence, syntactic complexity, poverty of content, referential coherence, and metaphorical language. Linguistic biomarkers of psychosis risk are now undergoing cross-validation, with attention to harmonization of methods. Future directions in extended CHR networks include studies of sources of variance, and combination with other promising biomarkers of psychosis risk, such as cognitive and sensory processing impairments likely to be related to language. Implications for the broader study of social communication, including reciprocal prosody, face expression and gesture, are discussed.
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Affiliation(s)
- Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, CA, USA; Department of Psychology, Semel Institute for Neuroscience and Human Behavior, Brain Research Institute, University of California Los Angeles, CA, USA; Department of Psychology, University of California Los Angeles, CA USA
| | - Raquel E Gur
- Brain Behavior Laboratory, Neuropsychiatry Division, Department of Psychiatry, Philadelphia, PA 19104, USA
| | - Kasia Hitczenko
- Department of Linguistics, Northwestern University, Evanston, IL, USA
| | - Zarina Bilgrami
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aleksandar Savic
- Department of Diagnostics and Intensive Care, University Psychiatric Hospital Vrapce, Zagreb, Croatia
| | - Guillermo A Cecchi
- Computational Biology Center-Neuroscience, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Phillip Wolff
- Department of Psychology, Emory University, Atlanta, GA, USA.
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30
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Bowman S, McKinstry C, Howie L, McGorry P. Expanding the search for emerging mental ill health to safeguard student potential and vocational success in high school: A narrative review. Early Interv Psychiatry 2020; 14:655-676. [PMID: 32026624 DOI: 10.1111/eip.12928] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 01/07/2020] [Accepted: 01/08/2020] [Indexed: 12/29/2022]
Abstract
AIM Young people experiencing mental ill health are more likely than their healthy aged peers to drop out of high school. This can result in social exclusion and vocational derailment. Identifying young people at risk and taking action before an illness is established or school dropout occurs is an important goal. This study aimed to examine evidence for the risk markers and at risk mental states of the clinical staging model (stage 0-1b) and whether these risk states and early symptoms impact school participation and academic attainment. METHOD This narrative review assembles research from both the psychiatry and education literature. It examines stage 0 to stage 1b of the clinical staging model and links the risk states and early symptoms to evidence about the academic success of young people in high school. RESULTS In accordance with the clinical staging model and evidence from education literature, childhood trauma and parental mental illness can impact school engagement and academic progress. Sleep disturbance can result in academic failure. Undifferentiated depression and anxiety can increase the risk for school dropout. Subthreshold psychosis and hypomanic states are associated with functional impairment and high rates of Not in Employment, Education, or Training (NEET) but are not recognized in the education literature. CONCLUSION Risk markers for emerging mental ill health can be identified in education research and demonstrate an impact on a student's success in high school. Clear referral protocols need to be embedded into school life to reduce risk of progression to later stages of illness and support school participation and success.
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Affiliation(s)
- Siann Bowman
- Department of Occupational Therapy, School of Allied Health, LaTrobe University, Melbourne, Australia
| | - Carol McKinstry
- Department of Occupational Therapy, LaTrobe Rural Health School, LaTrobe University, Melbourne, Australia
| | - Linsey Howie
- Department of Occupational Therapy, School of Clinical and Community Allied Health, LaTrobe University, Melbourne, Australia
| | - Patrick McGorry
- The National Centre of Excellence in Youth Mental Health, Orygen, The University of Melbourne, Melbourne, Australia
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31
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Memory Impairments and Psychosis Prediction: A Scoping Review and Theoretical Overview. Neuropsychol Rev 2020; 30:521-545. [PMID: 33226539 DOI: 10.1007/s11065-020-09464-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 10/18/2020] [Indexed: 02/06/2023]
Abstract
Impairments in memory functions are among the most robust correlates of schizophrenia and of poor functional outcomes in individuals with psychotic disorders. Prospective, longitudinal studies are crucial to determining the meaning of these deficits in relation to mechanisms associated with the onset and course of these disorders.The objective of this review is to examine the literature concerning premorbid memory impairments during the prodromal phase of psychosis to address three primary questions 1) are memory impairments present among individuals with a clinical high risk syndrome? 2) are memory deficits in clinical high risk cases predictive of future conversion to psychosis? and 3) what are the underlying neural correlates of memory impairment in clinical high risk individuals and are they also predictive of future conversion?PubMed and Google Scholar databases were systematically searched. The primary inclusion criteria were to select studies that 1) were original research articles published in a peer-reviewed journal in the past 25 years, 2) studied subjects at clinical high risk for psychosis or in the prodromal phase of illness, and 3) included examinations into verbal memory performance in those at clinical high risk for psychosis.64 articles were identified and screened for eligibility. The review included 34 studies investigating verbal memory impairment in clinical high risk individuals compared to controls. The average effect size of verbal learning total recall was .58, indicating a moderate level of impairment in verbal learning among individuals at clinical high risk for psychosis as compared to healthy controls. Of studies that predicted time to conversion, indices of memory, particularly declarative and verbal working memory, were especially predictive of future conversion. Finally, when examining investigations of the neural correlates of memory dysfunction in the clinical high risk state, findings suggest altered activation and functional connectivity among medial temporal lobe regions may underlie differences in memory performance between clinical high risk individuals and healthy controls.Findings to date strongly indicate that memory impairments are present during the premorbid phase of psychosis and that verbal memory impairment in particular is predictive of future conversion to psychosis. Evidence from fMRI studies is fairly consistent in showing greater activation of memory-related regions during retrieval among clinical high risk cases who convert, with less consistent evidence of altered functional connectivity in the encoding phase. These findings support the use of verbal learning and memory measures in the psychosis prediction and prevention field.
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32
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Predicting the individual risk of psychosis conversion in at-risk mental state (ARMS): a multivariate model reveals the influence of nonpsychotic prodromal symptoms. Eur Child Adolesc Psychiatry 2020; 29:1525-1535. [PMID: 31872289 DOI: 10.1007/s00787-019-01461-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 11/16/2019] [Indexed: 01/11/2023]
Abstract
To improve the prediction of the individual risk of conversion to psychosis in UHR subjects, by considering all CAARMS' symptoms at first presentation and using a multivariate machine learning method known as logistic regression with Elastic-net shrinkage. 46 young individuals who sought help from the specialized outpatient unit at Sainte-Anne hospital and who met CAARMS criteria for UHR were assessed, among whom 27 were reassessed at follow-up (22.4 ± 6.54 months) and included in the analysis. Elastic net logistic regression was trained, using CAARMS items at baseline to predict individual evolution between converters (UHR-P) and non-converters (UHR-NP). Elastic-net was used to select the few CAARMS items that best predict the clinical evolution. All validations and significances of predictive models were computed with non-parametric re-sampling strategies that provide robust estimators even when the distributional assumption cannot be guaranteed. Among the 25 CAARMS items, the Elastic net selected 'obsessive-compulsive symptoms' and 'aggression/dangerous behavior' as risk factors for conversion while 'anhedonia' and 'mood swings/lability' were associated with non-conversion at follow-up. In the ten-fold stratified cross-validation, the classification achieved 81.8% of sensitivity (P = 0.035) and 93.7% of specificity (P = 0.0016). Non-psychotic prodromal symptoms bring valuable information to improve the prediction of conversion to psychosis. Elastic net logistic regression applied to clinical data is a promising way to switch from group prediction to an individualized prediction.
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Progression from being at-risk to psychosis: next steps. NPJ SCHIZOPHRENIA 2020; 6:27. [PMID: 33020486 PMCID: PMC7536226 DOI: 10.1038/s41537-020-00117-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 08/06/2020] [Indexed: 12/15/2022]
Abstract
Over the past 20 years there has been a great deal of research into those considered to be at risk for developing psychosis. Much has been learned and studies have been encouraging. The aim of this paper is to offer an update of the current status of research on risk for psychosis, and what the next steps might be in examining the progression from CHR to psychosis. Advances have been made in accurate prediction, yet there are some methodological issues in ascertainment, diagnosis, the use of data-driven selection methods and lack of external validation. Although there have been several high-quality treatment trials the heterogeneity of this clinical high-risk population has to be addressed so that their treatment needs can be properly met. Recommendations for the future include more collaborative research programmes, and ensuring they are accessible and harmonized with respect to criteria and outcomes so that the field can continue to move forward with the development of large collaborative consortiums as well as increased funding for multisite projects.
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Individualized Diagnostic and Prognostic Models for Patients With Psychosis Risk Syndromes: A Meta-analytic View on the State of the Art. Biol Psychiatry 2020; 88:349-360. [PMID: 32305218 DOI: 10.1016/j.biopsych.2020.02.009] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 01/25/2020] [Accepted: 02/06/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND The clinical high risk (CHR) paradigm has facilitated research into the underpinnings of help-seeking individuals at risk for developing psychosis, aiming at predicting and possibly preventing transition to the overt disorder. Statistical methods such as machine learning and Cox regression have provided the methodological basis for this research by enabling the construction of diagnostic models (i.e., distinguishing CHR individuals from healthy individuals) and prognostic models (i.e., predicting a future outcome) based on different data modalities, including clinical, neurocognitive, and neurobiological data. However, their translation to clinical practice is still hindered by the high heterogeneity of both CHR populations and methodologies applied. METHODS We systematically reviewed the literature on diagnostic and prognostic models built on Cox regression and machine learning. Furthermore, we conducted a meta-analysis on prediction performances investigating heterogeneity of methodological approaches and data modality. RESULTS A total of 44 articles were included, covering 3707 individuals for prognostic studies and 1052 individuals for diagnostic studies (572 CHR patients and 480 healthy control subjects). CHR patients could be classified against healthy control subjects with 78% sensitivity and 77% specificity. Across prognostic models, sensitivity reached 67% and specificity reached 78%. Machine learning models outperformed those applying Cox regression by 10% sensitivity. There was a publication bias for prognostic studies yet no other moderator effects. CONCLUSIONS Our results may be driven by substantial clinical and methodological heterogeneity currently affecting several aspects of the CHR field and limiting the clinical implementability of the proposed models. We discuss conceptual and methodological harmonization strategies to facilitate more reliable and generalizable models for future clinical practice.
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Zhang T, Yang S, Xu L, Tang X, Wei Y, Cui H, Li H, Tang Y, Hui L, Li C, Chen X, Wang J. Poor functional recovery is better predicted than conversion in studies of outcomes of clinical high risk of psychosis: insight from SHARP. Psychol Med 2020; 50:1578-1584. [PMID: 31451124 DOI: 10.1017/s0033291719002174] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Few of the previous studies of clinical high risk of psychosis (CHR) have explored whether outcomes other than conversion, such as poor functioning or treatment responses, are better predicted when using risk calculators. To answer this question, we compared the predictive accuracy between the outcome of conversion and poor functioning by using the NAPLS-2 risk calculator. METHODS Three hundred CHR individuals were identified using the Chinese version of the Structured Interview for Prodromal Symptoms. Of these, 228 (76.0%) completed neurocognitive assessments at baseline and 199 (66.3%) had at least a 1-year follow-up assessment. The latter group was used in the NAPLS-2 risk calculator. RESULTS We divided the sample into two broad categories based on different outcome definitions, conversion (n = 46) v. non-conversion (n = 153) or recovery (n = 138) v. poor functioning (n = 61). Interestingly, the NAPLS-2 risk calculator showed moderate discrimination of subsequent conversion to psychosis in this sample with an area under the receiver operating characteristic curve (AUC) of 0.631 (p = 0.007). However, for discriminating poor functioning, the AUC of the model increased to 0.754 (p < 0.001). CONCLUSIONS Our results suggest that the current risk calculator was a better fit for predicting a poor functional outcome and treatment response than it was in the prediction of conversion to psychosis.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
| | - ShuWen Yang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
| | - HuiJun Li
- Department of Psychology, Florida A&M University, Tallahassee, Florida32307, USA
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
| | - Li Hui
- Institute of Mental Health, The Affiliated Guangji Hospital of Soochow University, Soochow University, Suzhou215137, Jiangsu, PR China
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
| | - XingShi Chen
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
- Institute of Mental Health, The Affiliated Guangji Hospital of Soochow University, Soochow University, Suzhou215137, Jiangsu, PR China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai200030, PR China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai, PR China
- Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
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Corcoran CM, Cecchi GA. Using Language Processing and Speech Analysis for the Identification of Psychosis and Other Disorders. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:770-779. [PMID: 32771179 DOI: 10.1016/j.bpsc.2020.06.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 06/09/2020] [Accepted: 06/09/2020] [Indexed: 01/12/2023]
Abstract
Increasingly, data-driven methods have been implemented to understand psychopathology. Language is the main source of information in psychiatry and represents "big data" at the level of the individual. Language and behavior are amenable to computational natural language processing (NLP) analytics, which may help operationalize the mental status examination. In this review, we highlight the application of NLP to schizophrenia and its risk states as an exemplar of its use, operationalizing tangential and concrete speech as reductions in semantic coherence and syntactic complexity, respectively. Other clinical applications are reviewed, including forecasting suicide risk and detecting intoxication. Challenges and future directions are discussed, including biomarker development, harmonization, and application of NLP more broadly to behavior, including intonation/prosody, facial expression and gesture, and the integration of these in dyads and during discourse. Similar NLP analytics can also be applied beyond humans to behavioral motifs across species, important for modeling psychopathology in animal models. Finally, clinical neuroscience can inform the development of artificial intelligence.
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Affiliation(s)
- Cheryl Mary Corcoran
- Icahn School of Medicine at Mount Sinai, New York; James J. Peters Veterans Administration Medical Center, Bronx.
| | - Guillermo A Cecchi
- Thomas J. Watson Research Center, IBM Corporation, Yorktown Heights, New York
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Brink V, van Driel C, El Bouhaddani S, Wardenaar KJ, van Domburgh L, Schaefer B, van Beilen M, Bartels-Velthuis AA, Veling W. Spontaneous discontinuation of distressing auditory verbal hallucinations in a school-based sample of adolescents: a longitudinal study. Eur Child Adolesc Psychiatry 2020; 29:777-790. [PMID: 31455976 PMCID: PMC7305260 DOI: 10.1007/s00787-019-01393-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 08/17/2019] [Indexed: 11/24/2022]
Abstract
Auditory verbal hallucinations (AVH) can be transiently present in both clinical and healthy adolescent populations. It is not yet fully understood why AVH discontinue in some adolescents and persist in others. The aim of this explorative study is to investigate predictors of spontaneous discontinuation of distressing AVH in a school-based sample of adolescents. 1841 adolescents (mean age 12.4 years, 58% female) completed self-report questionnaires at baseline. The current study included 123 adolescents (7%; 63% female) who reported at least mild distressing AVH at baseline and completed follow-up measurements. LASSO analyses were used to uncover predictors of spontaneous discontinuation of distressing AVH. During follow-up, 43 adolescents (35%) reported having experienced distressing AVH during the last 12 months, while 80 adolescents did not. Spontaneous discontinuation of distressing AVH was predicted by never having used cannabis, parents not being divorced in the past year, never having been scared by seeing a deceased body, less prosocial behaviour, school grade repetition, having the feeling that others have it in for you, having anxiety when meeting new people, having lived through events exactly as if they happened before and having the feeling as if parts of the body have changed. No associations between spontaneous discontinuation of distressing AVH and age or ethnicity were found. Distressing AVH in non-clinical adolescents are mostly transient. Discontinuation was predicted up to a certain extent. However, several predictors were difficult to interpret and do not provide leads for preventive measures, except for discouraging cannabis use.
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Affiliation(s)
- Vera Brink
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, PO Box 30.001 (HPC CC60), 9700 RB, Groningen, The Netherlands.
| | - Catheleine van Driel
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, PO Box 30.001 (HPC CC60), 9700 RB, Groningen, The Netherlands
| | | | - Klaas J Wardenaar
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, , PO Box 30.001, Groningen, 9700 RB, The Netherlands
| | - Lieke van Domburgh
- Department of Child and Adolescent Psychiatry, VU University Medical Center, PO Box 303, 1115 ZG, Duivendrecht, The Netherlands
- Department of Research and Development, Pluryn-Intermetzo, PO Box 53, 6500 AB, Nijmegen, The Netherlands
| | - Barbara Schaefer
- Parnassia Institute, Carnissesingel 51, 3083 JA, Rotterdam, The Netherlands
| | - Marije van Beilen
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, PO Box 30.001 (HPC CC60), 9700 RB, Groningen, The Netherlands
| | - Agna A Bartels-Velthuis
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research center, PO Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Wim Veling
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, PO Box 30.001 (HPC CC60), 9700 RB, Groningen, The Netherlands
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Schultze-Lutter F, Schimmelmann BG, Flückiger R, Michel C. Effects of age and sex on clinical high-risk for psychosis in the community. World J Psychiatry 2020; 10:101-124. [PMID: 32477906 PMCID: PMC7243619 DOI: 10.5498/wjp.v10.i5.101] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 03/23/2020] [Accepted: 03/30/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Recent reports of both heightened prevalence rates and limited clinical relevance of clinical high-risk (CHR) criteria and their relevant symptoms in children and adolescents indicate an important role of neurodevelopment in the early detection of psychoses. Furthermore, sex effects in CHR symptoms have been reported, though studies were inconclusive. As sex also impacts on neurodevelopment, we expected that sex might have an additional contribution to age in the prevalence and clinical relevance of CHR symptoms and criteria.
AIM To investigate age and sex effects on CHR criteria and symptoms and their association with psychosocial impairment and mental disorder.
METHODS In this cross-sectional cohort study, n = 2916 8- to 40-year-olds, randomly drawn from the population register of the Swiss canton Bern, were assessed in semi-structured interviews by phone or face-to-face for CHR symptoms and criteria using the Structured Interview for Psychosis-Risk Syndromes and the Schizophrenia Proneness Instrument in its child and youth, and adult version, respectively. Furthermore, social and occupational functioning and DSM-IV axis I disorders were assessed. Simple and interaction effects of age and sex on CHR symptoms and criteria, and interaction effects of age, sex, and CHR symptoms and criteria on presentation of functional impairment and of non-psychotic disorder were investigated using logistic regression analyses.
RESULTS Altogether, 542 (18.6%) participants reported any CHR symptom; of these, 261 (9.0%) participants reported any one of the 11 criteria relevant cognitive and perceptual basic symptoms, and 381 (13.1%) any one of the five attenuated or transient psychotic symptoms (attenuated psychotic symptoms/brief intermittent psychotic symptoms). Fewer participants met any one of the CHR criteria (n = 82, 2.8%) or any one of the three recently recommended CHR criteria (n = 38, 1.3%). Both age and sex were significantly (P < 0.05) associated with CHR symptoms and criteria, mostly by younger age and female sex. Though slightly differing between symptom groups, age thresholds were detected around the turn from adolescence to adulthood; they were highest for cognitive basic symptoms and CHR criteria. With the exception of the infrequent speech disorganization attenuated psychotic symptom, the interaction of age with CHR symptoms and criteria predicted functional impairment; whereas, independent of each other, sex and CHR symptoms mostly predicted mental disorders.
CONCLUSION Age and sex differentially impact on CHR symptoms and criteria; these differences may support better understanding of causal pathways. Thus, future CHR studies should consider effects of sex and age.
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Affiliation(s)
- Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf 40692, Germany
| | - Benno G Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern 3000, Switzerland
- University Hospital of Child and Adolescent Psychiatry, University Hospital Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Rahel Flückiger
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern 3000, Switzerland
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern 3000, Switzerland
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Montemagni C, Bellino S, Bracale N, Bozzatello P, Rocca P. Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review. Front Psychiatry 2020; 11:223. [PMID: 32265763 PMCID: PMC7105709 DOI: 10.3389/fpsyt.2020.00223] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 03/06/2020] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE The present study reviews predictive models used to improve prediction of psychosis onset in individuals at clinical high risk for psychosis (CHR), using clinical, biological, neurocognitive, environmental, and combinations of predictors. METHODS A systematic literature search on PubMed was carried out (from 1998 through 2019) to find all studies that developed or validated a model predicting the transition to psychosis in CHR subjects. RESULTS We found 1,406 records. Thirty-eight of them met the inclusion criteria; 11 studies using clinical predictive models, seven studies using biological models, five studies using neurocognitive models, five studies using environmental models, and 18 studies using combinations of predictive models across different domains. While the highest positive predictive value (PPV) in clinical, biological, neurocognitive, and combined predictive models were relatively high (all above 83), the highest PPV across environmental predictive models was modest (63%). Moreover, none of the combined models showed a superiority when compared with more parsimonious models (using only neurocognitive, clinical, biological, or environmental factors). CONCLUSIONS The use of predictive models may allow high prognostic accuracy for psychosis prediction in CHR individuals. However, only ten studies had performed an internal validation of their models. Among the models with the highest PPVs, only the biological and neurocognitive but not the combined models underwent validation. Further validation of predicted models is needed to ensure external validity.
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Affiliation(s)
| | | | | | | | - Paola Rocca
- Department of Neuroscience, School of Medicine, University of Turin, Turin, Italy
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40
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Salazar de Pablo G, Catalan A, Fusar-Poli P. Clinical Validity of DSM-5 Attenuated Psychosis Syndrome: Advances in Diagnosis, Prognosis, and Treatment. JAMA Psychiatry 2020; 77:311-320. [PMID: 31746950 DOI: 10.1001/jamapsychiatry.2019.3561] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
IMPORTANCE Since the release of the DSM-5 diagnosis of attenuated psychosis syndrome (DSM-5-APS) in 2013, several research studies have investigated its clinical validity. Although critical and narrative reviews have reviewed these progresses, no systematic review has comprehensively summarized the available evidence regarding the clinical validity of DSM-5-APS. OBJECTIVE To provide current evidence on the clinical validity of DSM-5-APS, focusing on recent advances in diagnosis, prognosis, and treatment. EVIDENCE REVIEW A multistep literature search using the Web of Science database, Cochrane Central Register of Reviews, Ovid/PsychINFO, conference proceedings, and trial registries from database inception to June 16, 2019, was conducted following PRISMA and MOOSE guidelines and PROSPERO protocol. Studies with original data investigating individuals diagnosed using DSM-5-APS or meeting comparable criteria were included. The results of the systematic review were summarized in tables and narratively synthesized against established evidence-based antecedent, concurrent, and prognostic validators. A quantitative meta-analysis was conducted to explore the cumulative risk of psychosis onset at 6, 12, 24, and 36 months in individuals diagnosed using DSM-5-APS criteria. FINDINGS The systematic review included 56 articles, which reported on 124 validators, including 15 antecedent, 55 concurrent, and 54 prognostic validators. The epidemiological prevalence of the general non-help-seeking young population meeting DSM-5-APS criteria was 0.3%; the prevalence of individuals meeting DSM-5-APS criteria was variable in clinical samples. The interrater reliability for DSM-5-APS criteria was comparable with that of other DSM-5 mental disorders and can be optimized by the use of specific psychometric instruments. DSM-5-APS criteria were associated with frequent depressive comorbid disorders, distress, suicidality, and functional impairment. The meta-analysis included 23 prospective cohort studies, including 2376 individuals. The meta-analytical risk of psychosis onset was 11% at 6 months, 15% at 12 months, 20% at 24 months, and 23% at 36 months. Research into predisposing and precipitating epidemiological factors, neurobiological correlates, and effective treatments for DSM-5-APS criteria has been limited. CONCLUSIONS AND RELEVANCE Over recent years, DSM-5-APS criteria have received substantial concurrent and prognostic validation, mostly driven by research into the clinical high-risk state for psychosis. Precipitating and predisposing factors, neurobiological correlates, and effective treatments are undetermined to date.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Institute of Psychiatry and Mental Health, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Universidad Complutense, Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Ana Catalan
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Psychiatry, Basurto University Hospital, Bilbao, Spain.,Mental Health Group, BioCruces Health Research Institute, Bizkaia, Spain.,Neuroscience Department, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,OASIS Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London, United Kingdom
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Dorofeikova MV, Petrova NN. [The effectiveness and feasibility of preventive interventions for psychoses]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 119:108-112. [PMID: 31626178 DOI: 10.17116/jnevro2019119081108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
In recent years, prevention of psychosis in people, who have early signs of its development, but do not fully meet the diagnostic criteria of mental disorder, has been an important issue of research in psychiatry. The article considers the approaches to the intervention in high-risk states of psychosis. At present, it can be considered obvious that early intervention in ultra-high-risk (UHR) individuals, most often consisting of cognitive-behavioral therapy and second generation antipsychotics, is safe, effective and cost-effective even in cases, in which psychosis develops because of the increase in the time before it occurs, reduction of the intensity of stress and improvement of outcomes by reducing the duration of untreated psychosis and lowering probability of hospitalization. Comparative studies of the first generation antipsychotics would be appreciated in UHR. The available data make it possible to state that not only the psychosis prevention should be the goal of interventions, but also trying to maintain personal and social functioning of people with UHR. The main purpose of interventions should be considered not to prevent psychosis, but to achieve more favorable outcomes.
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Affiliation(s)
- M V Dorofeikova
- Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, St. Petersburg, Russia
| | - N N Petrova
- Saint-Petersburg State University, St. Petersburg, Russia
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Walger H, Antonucci LA, Pigoni A, Upthegrove R, Salokangas RKR, Lencer R, Chisholm K, Riecher-Rössler A, Haidl T, Meisenzahl E, Rosen M, Ruhrmann S, Kambeitz J, Kambeitz-Ilankovic L, Falkai P, Ruef A, Hietala J, Pantelis C, Wood SJ, Brambilla P, Bertolino A, Borgwardt S, Koutsouleris N, Schultze-Lutter F. Basic Symptoms Are Associated With Age in Patients With a Clinical High-Risk State for Psychosis: Results From the PRONIA Study. Front Psychiatry 2020; 11:552175. [PMID: 33312133 PMCID: PMC7707000 DOI: 10.3389/fpsyt.2020.552175] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 10/22/2020] [Indexed: 12/16/2022] Open
Abstract
In community studies, both attenuated psychotic symptoms (APS) and basic symptoms (BS) were more frequent but less clinically relevant in children and adolescents compared to adults. In doing so, they displayed differential age thresholds that were around age 16 for APS, around age 18 for perceptive BS, and within the early twenties for cognitive BS. Only the age effect has previously been studied and replicated in clinical samples for APS. Thus, we examined the reported age effect on and age thresholds of 14 criteria-relevant BS in a patient sample at clinical-high risk of psychosis (N = 261, age 15-40 yrs.), recruited within the European multicenter PRONIA-study. BS and the BS criteria, "Cognitive Disturbances" (COGDIS) and "Cognitive-perceptive BS" (COPER), were assessed with the "Schizophrenia Proneness Instrument, Adult version" (SPI-A). Using logistic regressions, prevalence rates of perceptive and cognitive BS, and of COGDIS and COPER, as well as the impact of social and role functioning on the association between age and BS were studied in three age groups (15-18 years, 19-23 years, 24-40 years). Most patients (91.2%) reported any BS, 55.9% any perceptive and 87.4% any cognitive BS. Furthermore, 56.3% met COGDIS and 80.5% COPER. Not exhibiting the reported differential age thresholds, both perceptive and cognitive BS, and, at trend level only, COPER were less prevalent in the oldest age group (24-40 years); COGDIS was most frequent in the youngest group (15-18 years). Functional deficits did not better explain the association with age, particularly in perceptive BS and cognitive BS meeting the frequency requirement of BS criteria. Our findings broadly confirmed an age threshold in BS and, thus, the earlier assumed link between presence of BS and brain maturation processes. Yet, age thresholds of perceptive and cognitive BS did not differ. This lack of differential age thresholds might be due to more pronounced the brain abnormalities in this clinical sample compared to earlier community samples. These might have also shown in more frequently occurring and persistent BS that, however, also resulted from a sampling toward these, i.e., toward COGDIS. Future studies should address the neurobiological basis of CHR criteria in relation to age.
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Affiliation(s)
- Helene Walger
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Linda A Antonucci
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
| | - Alessandro Pigoni
- Department of Neurosciences and Mental Health, Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda Foundation Major Hospital Polyclinic, University of Milan, Milan, Italy.,MoMiLab Research Unit, Institutions, Markets, Technologies (IMT) School for Advanced Studies Lucca, Lucca, Italy
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | | | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, and Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany
| | - Katharine Chisholm
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom.,Department of Psychology, Aston University, Birmingham, United Kingdom
| | - Anita Riecher-Rössler
- Department of Psychiatry (Psychiatric University Hospital, UPK), University of Basel, Basel, Switzerland
| | - Theresa Haidl
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Jarmo Hietala
- Department of Psychiatry, Medical Faculty, University of Turku, Turku, Finland
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton, VIC, Australia
| | - Stephen J Wood
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom.,Orygen, The National Centre of Excellence for Youth Mental Health, Melbourne, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda Foundation Major Hospital Polyclinic, University of Milan, Milan, Italy
| | - Alessandro Bertolino
- Group of Psychiatric Neuroscience, Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Stefan Borgwardt
- Department of Psychiatry (Psychiatric University Hospital, UPK), University of Basel, Basel, Switzerland
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Frauke Schultze-Lutter
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy.,Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
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43
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Salazar de Pablo G, Guinart D, Cornblatt BA, Auther AM, Carrión RE, Carbon M, Jiménez-Fernández S, Vernal DL, Walitza S, Gerstenberg M, Saba R, Lo Cascio N, Brandizzi M, Arango C, Moreno C, Van Meter A, Fusar-Poli P, Correll CU. DSM-5 Attenuated Psychosis Syndrome in Adolescents Hospitalized With Non-psychotic Psychiatric Disorders. Front Psychiatry 2020; 11:568982. [PMID: 33192693 PMCID: PMC7609900 DOI: 10.3389/fpsyt.2020.568982] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 09/14/2020] [Indexed: 12/26/2022] Open
Abstract
Introduction: Although attenuated psychotic symptoms often occur for the first time during adolescence, studies focusing on adolescents are scarce. Attenuated psychotic symptoms form the criteria to identify individuals at increased clinical risk of developing psychosis. The study of individuals with these symptoms has led to the release of the DSM-5 diagnosis of Attenuated Psychosis Syndrome (APS) as a condition for further research. We aimed to characterize and compare hospitalized adolescents with DSM-5-APS diagnosis vs. hospitalized adolescents without a DSM-5-APS diagnosis. Methods: Interviewing help-seeking, hospitalized adolescents (aged 12-18 years) and their caregivers independently with established research instruments, we (1) evaluated the presence of APS among non-psychotic adolescents, (2) characterized and compared APS and non-APS individuals regarding sociodemographic, illness and intervention characteristics, (3) correlated psychopathology with levels of functioning and severity of illness and (4) investigated the influence of individual clinical, functional and comorbidity variables on the likelihood of participants to be diagnosed with APS. Results: Among 248 consecutively recruited adolescents (age=15.4 ± 1.5 years, females = 69.6%) with non-psychotic psychiatric disorders, 65 (26.2%) fulfilled APS criteria and 183 (73.8%) did not fulfill them. Adolescents with APS had higher number of psychiatric disorders than non-APS adolescents (3.5 vs. 2.4, p < 0.001; Cohen's d = 0.77), particularly, disruptive behavior disorders (Cramer's V = 0.16), personality disorder traits (Cramer's V = 0.26), anxiety disorders (Cramer's V = 0.15), and eating disorders (Cramer's V = 0.16). Adolescents with APS scored higher on positive (Cohen's d = 1.5), negative (Cohen's d = 0.55), disorganized (Cohen's d = 0.51), and general symptoms (Cohen's d = 0.84), and were more severely ill (Cohen's d = 1.0) and functionally impaired (Cohen's d = 0.31). Negative symptoms were associated with lower functional levels (Pearson ρ = -0.17 to -0.20; p = 0.014 to 0.031). Global illness severity was associated with higher positive, negative, and general symptoms (Pearson ρ = 0.22 to 0.46; p = 0.04 to p < 0.001). APS status was independently associated with perceptual abnormalities (OR = 2.0; 95% CI = 1.6-2.5, p < 0.001), number of psychiatric diagnoses (OR = 1.5; 95% CI = 1.2-2.0, p = 0.002), and impaired stress tolerance (OR = 1.4; 95% CI = 1.1-1.7, p = 0.002) (r 2 = 0.315, p < 0.001). Conclusions: A considerable number of adolescents hospitalized with non-psychotic psychiatric disorders meet DSM-5-APS criteria. These help-seeking adolescents have more comorbid disorders and more severe symptoms, functional impairment, and severity of illness than non-APS adolescents. Thus, they warrant high intensity clinical care.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Department of Child and Adolescent Psychiatry, Centro de Investigación Biomédica en Red de Salud Mental, General Universitario Gregorio Marañón School of Medicine, Institute of Psychiatry and Mental Health, Hospital Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense, Madrid, Spain
| | - Daniel Guinart
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
| | - Barbara A Cornblatt
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.,Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, United States
| | - Andrea M Auther
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
| | - Ricardo E Carrión
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.,Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, United States
| | - Maren Carbon
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States
| | - Sara Jiménez-Fernández
- Child and Adolescent Mental Health Unit, Jaén Medical Center, Jaén, Spain.,Department of Psychiatry, University of Granada, Granada, Spain
| | - Ditte L Vernal
- Research Unit for Child- and Adolescent Psychiatry, Aalborg University Hospital, Aalborg, Denmark
| | - Susanne Walitza
- Psychiatric University Hospital Zurich, Department of Child and Adolescent Psychiatry and Psychotherapy, Zurich, Switzerland
| | - Miriam Gerstenberg
- Psychiatric University Hospital Zurich, Department of Child and Adolescent Psychiatry and Psychotherapy, Zurich, Switzerland
| | | | - Nella Lo Cascio
- Prevention and Early Intervention Service, Department of Mental Health, Rome, Italy
| | - Martina Brandizzi
- Local Health Agency Rome 1, Santo Spirito in Sassia Hospital, Department of Mental Health, Inpatient Psychiatric Unit, Rome, Italy
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Centro de Investigación Biomédica en Red de Salud Mental, General Universitario Gregorio Marañón School of Medicine, Institute of Psychiatry and Mental Health, Hospital Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense, Madrid, Spain
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Centro de Investigación Biomédica en Red de Salud Mental, General Universitario Gregorio Marañón School of Medicine, Institute of Psychiatry and Mental Health, Hospital Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense, Madrid, Spain
| | - Anna Van Meter
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.,Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, United States
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Outreach and Support in South London Service, South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.,Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, United States.,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
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44
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Tyson JW, House EM, Donovan AL. Assessing Youth with Psychotic Experiences: A Phenomenological Approach. Child Adolesc Psychiatr Clin N Am 2020; 29:1-13. [PMID: 31708039 DOI: 10.1016/j.chc.2019.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Psychotic experiences may be part of normal development or indicate a wide range of mental disorders. This article shows how a systematic, domain-based, phenomenological approach to assessing psychotic symptoms in youth facilitates the gathering of the nuanced clinical information necessary to understand a child's specific experience. Mapping this information onto a narrative timeline, while understanding the evolution and developmental context of psychotic experiences, is essential in making an accurate diagnostic formulation and appropriate treatment plan for youth presenting with psychotic experiences.
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Affiliation(s)
- John W Tyson
- First Episode and Early Psychosis Program, Massachusetts General Hospital, 32 Fruit Street, Yawkey 6A, Boston, MA 02114, USA.
| | - Ellen M House
- Augusta University/University of Georgia Medical Partnership, Health Science Campus, Russell Hall, 1425 Prince Avenue, Athens, GA 30602, USA
| | - Abigail L Donovan
- First Episode and Early Psychosis Program, Massachusetts General Hospital, 32 Fruit Street, Yawkey 6A, Boston, MA 02114, USA
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45
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Schultze-Lutter F, Ruhrmann S, Michel C, Kindler J, Schimmelmann BG, Schmidt SJ. Age effects on basic symptoms in the community: A route to gain new insight into the neurodevelopment of psychosis? Eur Arch Psychiatry Clin Neurosci 2020; 270:311-324. [PMID: 30361925 PMCID: PMC7069926 DOI: 10.1007/s00406-018-0949-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 10/19/2018] [Indexed: 02/06/2023]
Abstract
Reports of limited clinical significance of attenuated psychotic symptoms before age 15/16 indicate an important role of neurodevelopment in the early detection of psychoses. Therefore, we examined if age also exerts an influence on the prevalence and clinical significance of the 14 cognitive and perceptive basic symptoms (BS) used in psychosis-risk criteria and conceptualized as the most direct self-experienced expression of neurobiological aberrations. A random representative general population sample of the Swiss canton Bern (N = 689, age 8-40 years, 06/2011-05/2014) was interviewed for BS, psychosocial functioning, and current mental disorder. BS were reported by 18% of participants, mainly cognitive BS (15%). In regression analyses, age affected perceptive and cognitive BS differently, indicating an age threshold for perceptive BS in late adolescence (around age 18) and for cognitive BS in young adulthood (early twenties)-with higher prevalence, but a lesser association with functional deficits and the presence of mental disorder in the below-threshold groups. Thereby, interaction effects between age and BS on functioning and mental disorder were commonly stronger than individual effects of age and BS. Indicating support of the proposed "substrate-closeness" of BS, differential age effects of perceptual and cognitive BS seem to follow normal brain maturation processes, in which they might occur as infrequent and temporary non-pathological disturbances. Their persistence or occurrence after conclusion of main brain maturation processes, however, might signify aberrant maturation or neurodegenerative processes. Thus, BS might provide important insight into the pathogenesis of psychosis and into differential neuroprotective or anti-inflammatory targets.
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Affiliation(s)
- Frauke Schultze-Lutter
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland. .,Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-University, Bergische Landstrasse 2, 40629, Düsseldorf, Germany.
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Jochen Kindler
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Benno G. Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland ,University Hospital of Child and Adolescent Psychiatry, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Stefanie J. Schmidt
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland ,Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany ,Department of Clinical Psychology and Psychotherapy, University of Bern, Bern, Switzerland
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46
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Tsuji T, Phalen P, Rouhakhtar PR, Millman Z, Bussell K, Thompson E, Demro C, Roemer C, Reeves G, Schiffman J. Using the K-SADS psychosis screen to identify people with early psychosis or psychosis risk syndromes. Clin Child Psychol Psychiatry 2019; 24:809-820. [PMID: 31094226 PMCID: PMC7263389 DOI: 10.1177/1359104519846582] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Current methods to identify people with psychosis risk involve administration of specialized tools such as the Structured Interview for Psychosis-Risk Syndromes (SIPS), but these methods have not been widely adopted. Validation of a more multipurpose assessment tool-such as the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS)-may increase the scope of identification efforts. METHODS We assessed the correspondence between SIPS-determined clinical high risk/early psychosis (CHR/early psychosis) status and K-SADS psychosis screen (child and parent reports and their combination) in a sample of 147 help-seeking individuals aged 12-25. Detailed classification results are reported. RESULTS Both the child and parent interviews on the K-SADS psychosis screen were strongly predictive of CHR/early psychosis status, although parent reports contributed no significant additional information beyond child reports. Across informants, the presence of either subthreshold hallucinations or subthreshold delusions was highly suggestive of CHR/early psychosis status as determined by SIPS interview (78% (child) and 74% (parent) accuracy). CONCLUSIONS Subthreshold scores on the two-item K-SADS psychosis screen may be good indicators of the presence or absence of early signs of psychosis. The option of using a non-specialized assessment such as the K-SADS as a staged approach to assess for CHR/early psychosis status could increase rates of early psychosis screening and treatment.
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Affiliation(s)
| | - Peter Phalen
- School of Medicine, University of Maryland, USA
- VA Capitol Health Care Network (VISN 5), USA
| | | | | | - Kristin Bussell
- School of Medicine, University of Maryland, USA
- School of Nursing, University of Maryland, USA
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47
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Løberg EM, Gjestad R, Posserud MB, Kompus K, Lundervold AJ. Psychosocial characteristics differentiate non-distressing and distressing voices in 10,346 adolescents. Eur Child Adolesc Psychiatry 2019; 28:1353-1363. [PMID: 30820670 PMCID: PMC6785583 DOI: 10.1007/s00787-019-01292-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 02/09/2019] [Indexed: 12/30/2022]
Abstract
Adolescents hearing non-existent voices may be at risk for psychosis, but the prevalence of voice-hearing (VH) in the general population complicates clinical interpretations. Differentiating between VH with and without distress may aid treatment decisions in psychosis services, but understanding the differences between these two phenomena as they present in the normal adolescent population is necessary to validate this differentiation. The present study compared VH with and without distress in 10,346 adolescents in relation to clinical characteristics, known risk factors, predictors and psychosocial moderators of psychosis. A population-based cohort of Norwegian 16-19 years old adolescents completed a comprehensive web-based questionnaire, including two questions from the extended Launay-Slade Hallucinations Scale: (1) I often hear a voice speaking my thoughts aloud and (2) I have been troubled by hearing voices in my head. Adolescents reporting no VH, non-distressing VH or distressing VH were compared on 14 psychosocial and clinical variables. A multinomial regression model showed that non-disturbing voices were predicted by better school grades, social dysfunction, distractibility, affective symptoms and experience of trauma, while the disturbing voices were predicted by the experience of bullying and trauma, perceived negative self-worth and self-efficacy, less family support, dysregulation of activation, distractibility, self-harm and anxiety. Hearing voices without distress versus being distressed by the voices is related to different constellations of psychosocial variables, suggesting that they represent two separate groups of adolescents. The findings validate the emphasis on distress in clinical practice.
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Affiliation(s)
- Else-Marie Løberg
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.
- Department of Clinical Psychology, University of Bergen, Bergen, Norway.
- NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway.
| | - Rolf Gjestad
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Maj-Britt Posserud
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Gillberg Neuropsychiatry Centre (GNC), University of Gothenburg, Gothenburg, Sweden
| | - Kristiina Kompus
- NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- School of Natural Sciences and Health, Tallinn University, Tallinn, Estonia
| | - Astri J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Gillberg Neuropsychiatry Centre (GNC), University of Gothenburg, Gothenburg, Sweden
- K. G. Jebsen Center for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
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48
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Beck K, Studerus E, Andreou C, Egloff L, Leanza L, Simon AE, Borgwardt S, Riecher-Rössler A. Clinical and functional ultra-long-term outcome of patients with a clinical high risk (CHR) for psychosis. Eur Psychiatry 2019; 62:30-37. [PMID: 31514058 DOI: 10.1016/j.eurpsy.2019.08.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 08/15/2019] [Accepted: 08/26/2019] [Indexed: 10/26/2022] Open
Abstract
BACKGROUND Few studies have followed up patients with a clinical high risk (CHR) for psychosis for more than 2-3 years. We aimed to investigate the rates and baseline predictors for remission from CHR and transition to psychosis over a follow-up period of up to 16 years. Additionally, we examined the clinical and functional long-term outcome of CHR patients who did not transition. METHODS We analyzed the long-term course of CHR patients that had been included in the longitudinal studies "Früherkennung von Psychosen" (FePsy) or "Bruderholz" (BHS). Those patients who had not transitioned to psychosis during the initial follow-up periods (2/5 years), were invited for additional follow-ups. RESULTS Originally, 255 CHR patients had been included. Of these, 47 had transitioned to psychosis during the initial follow-ups. Thus, 208 were contacted for the long-term follow-up, of which 72 (34.6%) participated. From the original sample of 255, 26%, 31%, 35%, and 38% were estimated to have transitioned after 3, 5, 10, and 16 years, respectively, and 51% had remitted from their high risk status at the latest follow-up. Better psychosocial functioning at baseline was associated with a higher rate of remission. Of the 72 CHR patients re-assessed at long-term follow-up, 60 had not transitioned, but only 28% of those were fully recovered clinically and functionally. CONCLUSIONS Our study shows the need for follow-ups and clinical attention longer than the usual 2-3 years as there are several CHR patients with later transitions and only a minority of CHR those without transition fully recovers.
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Affiliation(s)
- Katharina Beck
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland
| | - Erich Studerus
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Department of Psychology, Division of Developmental and Personality Psychology, Basel, Switzerland
| | - Christina Andreou
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland
| | - Laura Egloff
- University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland; Department of Psychiatry, University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Letizia Leanza
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland
| | - Andor E Simon
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland; Specialized Early Psychosis Outpatient Service for Adolescents and Young Adults, Department of Psychiatry, Bruderholz, Switzerland
| | - Stefan Borgwardt
- Department of Psychiatry, University of Basel Psychiatric Hospital, Basel, Switzerland
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49
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Zhang T, Xu L, Tang Y, Li H, Tang X, Cui H, Wei Y, Wang Y, Hu Q, Liu X, Li C, Lu Z, McCarley RW, Seidman LJ, Wang J. Prediction of psychosis in prodrome: development and validation of a simple, personalized risk calculator. Psychol Med 2019; 49:1990-1998. [PMID: 30213278 DOI: 10.1017/s0033291718002738] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND This study aim to derive and validate a simple and well-performing risk calculator (RC) for predicting psychosis in individual patients at clinical high risk (CHR). METHODS From the ongoing ShangHai-At-Risk-for-Psychosis (SHARP) program, 417 CHR cases were identified based on the Structured Interview for Prodromal Symptoms (SIPS), of whom 349 had at least 1-year follow-up assessment. Of these 349 cases, 83 converted to psychosis. Logistic regression was used to build a multivariate model to predict conversion. The area under the receiver operating characteristic (ROC) curve (AUC) was used to test the effectiveness of the SIPS-RC. Second, an independent sample of 100 CHR subjects was recruited based on an identical baseline and follow-up procedures to validate the performance of the SIPS-RC. RESULTS Four predictors (each based on a subset of SIPS-based items) were used to construct the SIPS-RC: (1) functional decline; (2) positive symptoms (unusual thoughts, suspiciousness); (3) negative symptoms (social anhedonia, expression of emotion, ideational richness); and (4) general symptoms (dysphoric mood). The SIPS-RC showed moderate discrimination of subsequent transition to psychosis with an AUC of 0.744 (p < 0.001). A risk estimate of 25% or higher had around 75% accuracy for predicting psychosis. The personalized risk generated by the SIPS-RC provided a solid estimate of conversion outcomes in the independent validation sample, with an AUC of 0.804 [95% confidence interval (CI) 0.662-0.951]. CONCLUSION The SIPS-RC, which is simple and easy to use, can perform in the same manner as the NAPLS-2 RC in the Chinese clinical population. Such a tool may be used by clinicians to counsel appropriately their patients about clinical monitor v. potential treatment options.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - HuiJun Li
- Department of Psychology, Florida A & M University, Tallahassee, Florida 32307, USA
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - Yan Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - Qiang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - XiaoHua Liu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - Zheng Lu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
- Department of Psychiatry, Tongji Hospital, Tongji University School of Medicine, 389 Xin Cun Road, Shanghai 200065, China
| | - Robert W McCarley
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, 75 Fenwood Rd, Boston, MA 02115, USA
| | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, 75 Fenwood Rd, Boston, MA 02115, USA
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai, PR China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, PR China
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50
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Beck K, Andreou C, Studerus E, Heitz U, Ittig S, Leanza L, Riecher-Rössler A. Clinical and functional long-term outcome of patients at clinical high risk (CHR) for psychosis without transition to psychosis: A systematic review. Schizophr Res 2019; 210:39-47. [PMID: 30651204 DOI: 10.1016/j.schres.2018.12.047] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 10/09/2018] [Accepted: 12/25/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND Research on patients at clinical high risk (CHR) for psychosis has so far mainly focused on those with transition to frank psychosis (CHR-T patients). However, the majority of CHR patients do not transition (CHR-NT patients) and relatively little information is available on their clinical and functional outcome. METHODS We conducted a systematic review on clinical and functional long-term outcome of CHR-NT patients. Studies were included if they had an average follow-up period of at least 24 months and reported on long-term outcome of CHR-NT patients in one or more of the following domains: (non-)remission from CHR, prevalence of clinical symptoms and/or clinical diagnoses (axis I and II), and psychosocial functioning. RESULTS Ten publications from seven different single or multicenter studies with average follow-up durations of 2-7.5 years could be included. At the last follow-up assessment 28-71% of CHR-NT patients were not remitted from their CHR and 22-82% still had at least one clinical diagnosis. Approximately half of CHR-NT patients presented with poor psychosocial outcome at 2-year and 6-year follow-up. CONCLUSIONS The results suggest that, in the long-term, the majority of CHR-NT patients are not in full clinical remission and seem to suffer from one or more clinical disorders and psychosocial impairments. Since relatively few studies could be identified, further research is required to better understand the trajectories and clinical needs of CHR-NT patients.
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Affiliation(s)
- Katharina Beck
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland
| | - Christina Andreou
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland
| | - Erich Studerus
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland
| | - Ulrike Heitz
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland
| | - Sarah Ittig
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland
| | - Letizia Leanza
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland
| | - Anita Riecher-Rössler
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland.
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