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Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review.

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.

SUBMITTER: Montemagni C

PROVIDER: S-EPMC7105709 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review.

Montemagni Cristiana C Bellino Silvio S Bracale Nadja N Bozzatello Paola P Rocca Paola P

Frontiers in psychiatry 20200324

<h4>Objective</h4>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.<h4>Methods</h4>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.<h4>Results</h4>We found 1,406 reco ...[more]

PMID: 32265763

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Project description:ImportanceNeurocognitive functioning is a potential biomarker to advance detection, prognosis, and preventive care for individuals at clinical high risk for psychosis (CHR-P). The current consistency and magnitude of neurocognitive functioning in individuals at CHR-P are undetermined.ObjectiveTo provide an updated synthesis of evidence on the consistency and magnitude of neurocognitive functioning in individuals at CHR-P.Data sourcesWeb of Science database, Cochrane Central Register of Reviews, and Ovid/PsycINFO and trial registries up to July 1, 2020.Study selectionMultistep literature search compliant with Preferred Reporting Items for Systematic Reviews and Meta-analyses and Meta-analysis of Observational Studies in Epidemiology performed by independent researchers to identify original studies reporting on neurocognitive functioning in individuals at CHR-P.Data extraction and synthesisIndependent researchers extracted the data, clustering the neurocognitive tasks according to 7 Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) domains and 8 CHR-P domains. Random-effect model meta-analyses, assessment of publication biases and study quality, and meta-regressions were conducted.Main outcomes and measuresThe primary effect size measure was Hedges g of neurocognitive functioning in individuals at CHR-P (1) compared with healthy control (HC) individuals or (2) compared with individuals with first-episode psychosis (FEP) or (3) stratified for the longitudinal transition to psychosis.ResultsA total of 78 independent studies were included, consisting of 5162 individuals at CHR-P (mean [SD; range] age, 20.2 [3.3; 12.0-29.0] years; 2529 [49.0%] were female), 2865 HC individuals (mean [SD; range] age, 21.1 [3.6; 12.6-29.2] years; 1490 [52.0%] were female), and 486 individuals with FEP (mean [SD; range] age, 23.0 [2.0; 19.1-26.4] years; 267 [55.9%] were female). Compared with HC individuals, individuals at CHR-P showed medium to large deficits on the Stroop color word reading task (g = -1.17; 95% CI, -1.86 to -0.48), Hopkins Verbal Learning Test-Revised (g = -0.86; 95% CI, -1.43 to -0.28), digit symbol coding test (g = -0.74; 95% CI, -1.19 to -0.29), Brief Assessment of Cognition Scale Symbol Coding (g = -0.67; 95% CI, -0.95 to -0.39), University of Pennsylvania Smell Identification Test (g = -0.55; 95% CI, -0.97 to -0.12), Hinting Task (g = -0.53; 95% CI, -0.77 to -0.28), Rey Auditory Verbal Learning Test (g = -0.50; 95% CI, -0.78 to -0.21), California Verbal Learning Test (CVLT) (g = -0.50; 95% CI, -0.64 to -0.36), and National Adult Reading Test (g = -0.52; 95% CI, -1.01 to -0.03). Individuals at CHR-P were less impaired than individuals with FEP. Longitudinal transition to psychosis from a CHR-P state was associated with medium to large deficits in the CVLT task (g = -0.58; 95% CI, -1.12 to -0.05). Meta-regressions found significant effects for age and education on processing speed.Conclusions and relevanceFindings from this meta-analysis support neurocognitive dysfunction as a potential detection and prognostic biomarker in individuals at CHR-P. These findings may advance clinical research and inform preventive approaches.

Project description:BackgroundIndividuals at clinical high risk of psychosis (CHR-P) recruited in randomized clinical trials (RCTs) and observational cohorts may display a different enrichment and hence risk of transition to psychosis. No meta-analysis has ever addressed this issue.Methods"Preferred Reporting Items for Systematic reviews and Meta-Analyses" (PRISMA) and "Meta-analysis Of Observational Studies in Epidemiology" (MOOSE)-compliant meta-analysis. PubMed and Web of Science were searched until November 2020 (PROSPERO:CRD42021229223). We included nonoverlapping longitudinal studies (RCTs-control condition and observational cohorts) reporting the transition to psychosis in CHR-P individuals. The primary effect size measure was the cumulative risk of transition at 0.5, 1, and 2 years follow-up in RCTs compared to observational cohorts. Random effects meta-analyses, heterogeneity assessment, quality assessment, and meta-regressions were conducted.ResultsNinety-four independent studies (24 RCTs, 70 observational cohorts) and 9,243 individuals (mean age = 20.1 ± 3.0 years; 43.7% females) were included. The meta-analytical risk of transitioning to psychosis from a CHR-P stage was 0.091 (95% confidence intervals [CI] = 0.068-0.121) at 0.5 years, 0.140 (95% CI = 0.101-0.191) at 1 year and 0.165 (95% CI = 0.097-0.267) at 2 years follow-up in RCTs, and 0.081 (95% CI = 0.067-0.099) at 0.5 years, 0.138 (95% CI = 0.114-0.167) at 1 year, and 0.174 (95% CI = 0.156-0.193) at 2 years follow-up in observational cohorts. There were no between-group differences in transition risks (p > 0.05). The proportion of CHR-P individuals with substance use disorders (excluding alcohol and cannabis) was higher in observational cohorts (16.8, 95% CI = 13.3-21.0%) than in RCTs (3.4, 95% CI = 0.8-12.7%; p = 0.018).ConclusionsThere is no meta-analytic evidence supporting sampling biases in RCTs of CHR-P individuals. Further RCTs are needed to detect effective interventions to prevent psychosis in this at-risk group.

Project description:Psychoeducation is recommended in the treatment of patients with schizophrenia and has been shown to improve satisfaction with mental health service and treatment adherence, reduce relapse and hospital readmission rates, and enhance functioning and quality of life. Youth at clinical high risk for psychosis (CHR) may also benefit from receiving psychoeducation as part of their treatment. The goal of this study was to conduct a scoping review to map out the existing literature on psychoeducation for CHR individuals, including content, utilization, and benefits, in order to identify areas for future research and clinical care. Following PRISMA guidelines, we conducted a systematic search of electronic databases (MEDLINE, Embase, PsycINFO, Scopus, and Web of Science Core Collection) to identify literature through 02/25/2022 that provided data or significant commentary about the provision of psychoeducation to CHR individuals. After screening titles and abstracts, four co-authors assessed full-text articles for eligibility. Thirty-three studies were included in the review. Psychoeducation is recommended in the treatment of CHR individuals, is a preferred treatment option among CHR individuals, and many CHR programs report offering psychoeducation. However, details about the psychoeducational content and method of delivery are notably absent from recommendations and reports on the provision of CHR psychoeducation in real-world settings. We identified two brief and structured CHR psychoeducation interventions and one longer-term psychoeducational multifamily group model for CHR that show feasibility and promise, though they have not yet undergone randomized trials to evaluate effectiveness of the psychoeducation. We also identified several comprehensive CHR interventions that included an explicit psychoeducation module, though the unique role of the psychoeducational component is unknown. Despite being recommended as a critical component of treatment for CHR individuals and preferred by CHR individuals, the ways in which psychoeducation are being delivered to CHR individuals in real-world practice is still largely ambiguous. Rigorous evaluations of psychoeducation treatment models are needed, as well as investment from clinical programs to facilitate the implementation and dissemination of standardized psychoeducation for CHR individuals.

Dataset Information

Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review.

Publications

Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review.

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