Services for people at high risk improve outcomes in patients with first episode psychosis

Establishing a business case for setting up early detection services for preventing psychosis

Under standard care, psychotic disorders can have limited response to treatments, high rates of chronicity and disability, negative impacts on families, and wider social and economic costs. In an effort to improve early detection and care of individuals developing a psychotic illness, early intervention in psychosis services and early detection services have been set up in various countries since the 1980s. In April 2016, NHS England implemented a new 'access and waiting times' standard for early intervention in psychosis to extend the prevention of psychosis across England. Unfortunately, early intervention and early detection services are still not uniformly distributed in the UK, leaving gaps in service provision. The aim of this paper is to provide a business case model that can guide clinicians and services looking to set up or expand early detection services in their area. The paper also focuses on some existing models of care within the Pan-London Network for Psychosis Prevention teams.

[Characteristics of psychoses in adolescence-Longitudinal data of integrated care]

BACKGROUND

Integrated care according to the Hamburg model combines therapeutic assertive community treatment (TACT) with initiatives for early detection and early treatment of schizophrenia and affective psychoses. The aim of this study was to identify the clinical characteristics of adolescents in comparison to adult patients and to derive knowledge for transition-specific treatment approaches.

METHODOLOGY

Sociodemographic and clinical variables as well as treatment performance and clinical outcome were investigated over a period of 12 months in 167 patients with psychoses (16-25 years, n = 88; and >25 years, n = 79).

RESULTS

Patients with psychosis in adolescence had significantly more outpatient treatment contacts (3.5/week vs. 1.6/week; p < 0.001), while adults were hospitalized for twice as long (10 days vs. 21 days; p = 0.003). The duration of untreated psychoses was significantly shorter in the adolescent group than in adults (122 weeks vs. 208 weeks; p = 0.002). The proportion of comorbid mental disorders was significantly higher in the adolescent group (87% vs. 63%; p < 0.001). In addition, the adolescence patients already showed greater impairment of daily functions and a higher severity of illness at the start of treatment.

DISCUSSION

The treatment of psychoses in adolescence was characterized by a particularly high need for flexibility across all sectors and support systems, taking comorbid problem areas into account. Care models for adolescents and young adults with psychoses should therefore combine treatment approaches for severely ill patients with transition psychiatric interventions to avoid breaks in care and to meet the complex requirements of young patients with severe mental illnesses.

Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning

BACKGROUND

Validated clinical prediction models of short-term remission in psychosis are lacking. Our aim was to develop a clinical prediction model aimed at predicting 4-6-week remission following a first episode of psychosis.

METHOD

Baseline clinical data from the Athens First Episode Research Study was used to develop a Support Vector Machine prediction model of 4-week symptom remission in first-episode psychosis patients using repeated nested cross-validation. This model was further tested to predict 6-week remission in a sample of two independent, consecutive Danish first-episode cohorts.

RESULTS

Of the 179 participants in Athens, 120 were male with an average age of 25.8 years and average duration of untreated psychosis of 32.8 weeks. 62.9% were antipsychotic-naïve. Fifty-seven percent attained remission after 4 weeks. In the Danish cohort, 31% attained remission. Eleven clinical scale items were selected in the Athens 4-week remission cohort. These included the Duration of Untreated Psychosis, Personal and Social Performance Scale, Global Assessment of Functioning and eight items from the Positive and Negative Syndrome Scale. This model significantly predicted 4-week remission status (area under the receiver operator characteristic curve (ROC-AUC) = 71.45, P < .0001). It also predicted 6-week remission status in the Danish cohort (ROC-AUC = 67.74, P < .0001), demonstrating reliability.

CONCLUSIONS

Using items from common and validated clinical scales, our model significantly predicted early remission in patients with first-episode psychosis. Although replicated in an independent cohort, forward testing between machine learning models and clinicians' assessment should be undertaken to evaluate the possible utility as a routine clinical tool.

Association of treatment procedures and resilience to symptom load three-years later in a clinical sample of adolescent psychiatric patients

BACKGROUND

We aimed to examine symptom load in a clinical adolescent population at three-year follow-up and explore associations with standard care treatment procedures and resilience factors upon first presenting at Child and Adolescent Mental Health Services.

METHODS

This study is part of a prospective longitudinal cohort study: The Health Survey in Department of Children and Youth, St. Olavs hospital, Norway. A clinical population of 717 (43.5% of eligible) adolescents aged 13-18 years participated in the first study visit (T₁, 2009-2011). Of these, 447 adolescents with psychiatric disorders, with treatment history from medical records and self-reported resilience factors (Resilience Scale for Adolescents; READ) at T₁, reported symptom load (Achenbach System of Empirically Based Assessment - Youth Self Report; YSR) three years later aged 16-21 years (T₂).

RESULT

At T₁, 93.0% received individual treatment. The frequency of psychotherapy and medication varied by disorder group and between genders. Overall, psychotherapy was more frequent among girls, whereas medication was more common among boys. Total READ mean value (overall 3.5, SD 0.8), ranged from patients with mood disorders (3.0, SD 0.7) to patients with Attention Deficit Hyperactivity disorder (3.7, SD 0.7), and was lower for girls than boys in all diagnostic groups. At T₂, the YSR Total Problem mean T-score ranged across the diagnostic groups (48.7, SD 24.0 to 62.7, SD 30.2), with highest symptom scores for those with mood disorders at T₁, of whom 48.6% had T-scores in the borderline/clinical range (≥60) three years later. Number of psychotherapy sessions was positively associated and Total READ score was negatively associated with the YSR Total Problems T-score (regression coefficient β = 0.5, CI (0.3 to 0.7), p < 0.001 and β = - 15.7, CI (- 19.2 to - 12.1), p < 0.001, respectively). The subscale Personal Competence was associated with the lowest Total Problem score for both genders.

CONCLUSIONS

Self-reported symptom load was substantial after three years, despite comprehensive treatment procedures. Higher self-reported resilience characteristics were associated with lower symptom load after three years. These results highlight the burden of adolescent psychiatric disorders, the need for extensive interventions and the importance of resilience factors for a positive outcome.

First help-seeking attempt before and after psychosis onset: measures of delay and aversive pathways to care

PURPOSE

Delay in receiving effective treatment for psychosis adversely impacts outcomes. We investigated the timing of the first help-seeking attempt in individuals with recent onset non-affective psychosis by comparing those who sought help during the prodrome to those who sought help after psychosis onset across sociodemographic and clinical characteristics, overall functioning, and occurrence of aversive events during their pathways to care.

METHODS

Patients were admitted from February 1st, 2014 to January 31st, 2019 to the Program for Specialized Treatment Early in Psychosis (STEP) in New Haven, CT. Psychosis-onset date was ascertained using the Structured Interview for Psychosis-risk Syndromes. Key dates before and after psychosis onset, along with initiators and aversive events, were collected via semi-structured interview.

RESULTS

Within 168 individuals, 82% had their first help-seeking episode after psychosis onset and did not differ in terms of sociodemographic characteristics from prodrome help seekers. When the first help-seeking episode started before (i.e., during prodrome) vs after psychosis onset it was mostly initiated by patients vs family members (Cramer's V = 0.23, p = 0.031) and led to a faster prescription of an antipsychotic once full-blown psychosis emerged (time to antipsychotic since psychosis onset = 21 vs 56 days, p = 0.03). No difference in aversive events before STEP enrollment was detected across groups.

CONCLUSION

Help seeking during the prodrome is associated with faster initiation of antipsychotic treatment and is more likely to be self-initiated, compared to help seeking after psychosis onset. Early detection efforts that target prodromal samples may improve the length and experience of pathways to care.

Neurocognitive Functioning in Individuals at Clinical High Risk for Psychosis: A Systematic Review and Meta-analysis

IMPORTANCE

Neurocognitive functioning is a potential biomarker to advance detection, prognosis, and preventive care for individuals at clinical high risk for psychosis (CHR-P). The current consistency and magnitude of neurocognitive functioning in individuals at CHR-P are undetermined.

OBJECTIVE

To provide an updated synthesis of evidence on the consistency and magnitude of neurocognitive functioning in individuals at CHR-P.

DATA SOURCES

Web of Science database, Cochrane Central Register of Reviews, and Ovid/PsycINFO and trial registries up to July 1, 2020.

STUDY SELECTION

Multistep literature search compliant with Preferred Reporting Items for Systematic Reviews and Meta-analyses and Meta-analysis of Observational Studies in Epidemiology performed by independent researchers to identify original studies reporting on neurocognitive functioning in individuals at CHR-P.

DATA EXTRACTION AND SYNTHESIS

Independent researchers extracted the data, clustering the neurocognitive tasks according to 7 Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) domains and 8 CHR-P domains. Random-effect model meta-analyses, assessment of publication biases and study quality, and meta-regressions were conducted.

MAIN OUTCOMES AND MEASURES

The primary effect size measure was Hedges g of neurocognitive functioning in individuals at CHR-P (1) compared with healthy control (HC) individuals or (2) compared with individuals with first-episode psychosis (FEP) or (3) stratified for the longitudinal transition to psychosis.

RESULTS

A total of 78 independent studies were included, consisting of 5162 individuals at CHR-P (mean [SD; range] age, 20.2 [3.3; 12.0-29.0] years; 2529 [49.0%] were female), 2865 HC individuals (mean [SD; range] age, 21.1 [3.6; 12.6-29.2] years; 1490 [52.0%] were female), and 486 individuals with FEP (mean [SD; range] age, 23.0 [2.0; 19.1-26.4] years; 267 [55.9%] were female). Compared with HC individuals, individuals at CHR-P showed medium to large deficits on the Stroop color word reading task (g = -1.17; 95% CI, -1.86 to -0.48), Hopkins Verbal Learning Test-Revised (g = -0.86; 95% CI, -1.43 to -0.28), digit symbol coding test (g = -0.74; 95% CI, -1.19 to -0.29), Brief Assessment of Cognition Scale Symbol Coding (g = -0.67; 95% CI, -0.95 to -0.39), University of Pennsylvania Smell Identification Test (g = -0.55; 95% CI, -0.97 to -0.12), Hinting Task (g = -0.53; 95% CI, -0.77 to -0.28), Rey Auditory Verbal Learning Test (g = -0.50; 95% CI, -0.78 to -0.21), California Verbal Learning Test (CVLT) (g = -0.50; 95% CI, -0.64 to -0.36), and National Adult Reading Test (g = -0.52; 95% CI, -1.01 to -0.03). Individuals at CHR-P were less impaired than individuals with FEP. Longitudinal transition to psychosis from a CHR-P state was associated with medium to large deficits in the CVLT task (g = -0.58; 95% CI, -1.12 to -0.05). Meta-regressions found significant effects for age and education on processing speed.

CONCLUSIONS AND RELEVANCE

Findings from this meta-analysis support neurocognitive dysfunction as a potential detection and prognostic biomarker in individuals at CHR-P. These findings may advance clinical research and inform preventive approaches.

The Potential of Research Drawing on Clinical Free Text to Bring Benefits to Patients in the United Kingdom: A Systematic Review of the Literature

Background: The analysis of clinical free text from patient records for research has potential to contribute to the medical evidence base but access to clinical free text is frequently denied by data custodians who perceive that the privacy risks of data-sharing are too high. Engagement activities with patients and regulators, where views on the sharing of clinical free text data for research have been discussed, have identified that stakeholders would like to understand the potential clinical benefits that could be achieved if access to free text for clinical research were improved. We aimed to systematically review all UK research studies which used clinical free text and report direct or potential benefits to patients, synthesizing possible benefits into an easy to communicate taxonomy for public engagement and policy discussions. Methods: We conducted a systematic search for articles which reported primary research using clinical free text, drawn from UK health record databases, which reported a benefit or potential benefit for patients, actionable in a clinical environment or health service, and not solely methods development or data quality improvement. We screened eligible papers and thematically analyzed information about clinical benefits reported in the paper to create a taxonomy of benefits. Results: We identified 43 papers and derived five themes of benefits: health-care quality or services improvement, observational risk factor-outcome research, drug prescribing safety, case-finding for clinical trials, and development of clinical decision support. Five papers compared study quality with and without free text and found an improvement of accuracy when free text was included in analytical models. Conclusions: Findings will help stakeholders weigh the potential benefits of free text research against perceived risks to patient privacy. The taxonomy can be used to aid public and policy discussions, and identified studies could form a public-facing repository which will help the health-care text analysis research community better communicate the impact of their work.

Worldwide implementation of clinical services for the prevention of psychosis: The IEPA early intervention in mental health survey

BACKGROUND

Clinical research into the Clinical High Risk state for Psychosis (CHR-P) has allowed primary indicated prevention in psychiatry to improve outcomes of psychotic disorders. The strategic component of this approach is the implementation of clinical services to detect and take care of CHR-P individuals, which are recommended by several guidelines. The actual level of implementation of CHR-P services worldwide is not completely clear.

AIM

To assess the global geographical distribution, core characteristics relating to the level of implementation of CHR-P services; to overview of the main barriers that limit their implementation at scale.

METHODS

CHR-P services worldwide were invited to complete an online survey. The survey addressed the geographical distribution, general implementation characteristics and implementation barriers.

RESULTS

The survey was completed by 47 CHR-P services offering care to 22 248 CHR-P individuals: Western Europe (51.1%), North America (17.0%), East Asia (17.0%), Australia (6.4%), South America (6.4%) and Africa (2.1%). Their implementation characteristics included heterogeneous clinical settings, assessment instruments and length of care offered. Most CHR-P patients were recruited through mental or physical health services. Preventive interventions included clinical monitoring and crisis management (80.1%), supportive therapy (70.2%) or structured psychotherapy (61.7%), in combination with pharmacological treatment (in 74.5%). Core implementation barriers were staffing and financial constraints, and the recruitment of CHR-P individuals. The dynamic map of CHR-P services has been implemented on the IEPA website: https://iepa.org.au/list-a-service/.

CONCLUSIONS

Worldwide primary indicated prevention of psychosis in CHR-P individuals is possible, but the implementation of CHR-P services is heterogeneous and constrained by pragmatic challenges.

Relationships between cognitive event-related brain potential measures in patients at clinical high risk for psychosis

Neurophysiological measures of cognitive functioning that are abnormal in patients with schizophrenia are promising candidate biomarkers for predicting development of psychosis in individuals at clinical high risk (CHR). We examined the relationships among event-related brain potential (ERP) measures of early sensory, pre-attentional, and attention-dependent cognition, in antipsychotic-naïve help-seeking CHR patients (n = 36) and healthy control participants (n = 22). These measures included the gamma auditory steady-state response (ASSR; early sensory); mismatch negativity (MMN) and P3a (pre-attentional); and N400 semantic priming effects - a measure of using meaningful context to predict related items - over a shorter and a longer time interval (attention-dependent). Compared to controls, CHR patients had significantly smaller P3a amplitudes (d = 0.62, p = 0.03) and N400 priming effects over the long interval (d = 0.64, p = 0.02). In CHR patients, gamma ASSR evoked power and phase-locking factor were correlated (r = 0.41, p = 0.03). Reductions in mismatch negativity (MMN) and P3a amplitudes were also correlated (r = -0.36, p = 0.04). Moreover, lower gamma ASSR evoked power correlated with smaller MMN amplitudes (r = -0.45, p = 0.02). MMN amplitude reduction was also associated with reduced N400 semantic priming over the shorter but not the longer interval (r = 0.52, p < 0.002). This pattern of results suggests that, in a subset of CHR patients, impairment in pre-attentional measures of early information processing may contribute to deficits in attention-dependent cognition involving rapid, more automatic processing, but may be independent from pathological processes affecting more controlled or strategic processing. Thus, combining neurophysiological indices of cognitive deficits in different domains offers promise for improving their predictive power as prognostic biomarkers of clinical outcome.

Outreach and support in South-London (OASIS) 2001-2020: Twenty years of early detection, prognosis and preventive care for young people at risk of psychosis

This study aims to describe twenty years of early detection, prognosis and preventive care in the Outreach and Support In South-London (OASIS) mental health service for individuals at Clinical High risk of psychosis (CHR-P). The study presents a comprehensive analysis of the 2001- 2020 activity of the OASIS team encompassing core domains: (i) service characteristics, (ii) detection, (iii) prognosis, (iv) treatment and (v) clinical research. The analyses employed descriptive statistics, population-level data, the epidemiological incidence of psychosis, Kaplan Meier failure functions and Greenwood 95% CIs and Electronic Health Records. OASIS is part of the South London and Maudsley (SLaM) NHS trust, the largest European mental health provider, serving a total urban population of 1,358,646 individuals (population aged 16-35: 454,525). Incidence of psychosis in OASIS's catchment area ranges from 58.3 to 71.9 cases per 100,000 person-years, and it is higher than the national average of 41.5 cases per 100,000 person-year. OASIS is a standalone, NHS-funded, multidisciplinary (team leader, consultant and junior psychiatrists, clinical psychologists, mental health professionals), transitional (for those aged 14-35 years) community mental health service with a yearly caseload of 140 CHR-P individuals. OASIS regularly delivers a comprehensive service promotion outreach to several local community organisations. Referrals to OASIS (2366) are made by numerous agencies; about one-third of the referrals eventually met CHR-P criteria. Overall, 600 CHR-P individuals (55.33% males, mean age 22.63 years, white ethnicity 46.44%) have been under the care of the OASIS service: 80.43% met attenuated psychotic symptoms, 18.06% brief and limited intermittent psychotic symptoms and 1.51% genetic risk and deterioration CHR-P criteria. All CHR-P individuals were offered cognitive behavioural therapy and psychosocial support; medications were used depending on individual needs. The cumulative risk of psychosis at ten years was 0.365 (95%CI 0.302-0.437). At six years follow-up, across two-third of individuals non-transitioning to psychosis, 79.24% still displayed some mental health problem, and only 20.75% achieved a complete clinical remission. Research conducted at OASIS encompassed clinical, prognostic, neurobiological and interventional studies and leveraged local, national and international infrastructures; over the past ten years, OASIS-related research attracted about £ 50 million of grant income, with 5,922 citations in the international databases. Future developments may include broadening OASIS to prevent other serious mental disorders beyond psychosis and fostering translational risk prediction and interventional research. With a twenty-years activity, OASIS' cutting-edge quality of preventive care, combined with translational research innovations, consolidated the service as a leading reference model for evidence-based prevention of psychosis worldwide.

Real-World Clinical Outcomes Two Years After Transition to Psychosis in Individuals at Clinical High Risk: Electronic Health Record Cohort Study

The objective of this study is to describe the 2-year real-world clinical outcomes after transition to psychosis in patients at clinical high-risk. The study used the clinical electronic health record cohort study including all patients receiving a first index primary diagnosis of nonorganic International Classification of Diseases (ICD)-10 psychotic disorder within the early psychosis pathway in the South London and Maudsley (SLaM) National Health Service (NHS) Trust from 2001 to 2017. Outcomes encompassed: cumulative probability (at 3, 6, 12, and 24 months) of receiving a first (1) treatment with antipsychotic, (2) informal admission, (3) compulsory admission, and (4) treatment with clozapine and (5) numbers of days spent in hospital (at 12 and 24 months) in patients transitioning to psychosis from clinical high-risk services (Outreach and Support in south London; OASIS) compared to other first-episode groups. Analyses included logistic and 0-inflated negative binomial regressions. In the study, 1561 patients were included; those who had initially been managed by OASIS and had subsequently transitioned to a first episode of psychosis (n = 130) were more likely to receive antipsychotic medication (at 3, 6, and 24 months; all P < .023), to be admitted informally (at all timepoints, all P < .004) and on a compulsory basis (at all timepoints, all P < .013), and to have spent more time in hospital (all timepoints, all P < .007) than first-episode patients who were already psychotic when seen by the OASIS service (n = 310), or presented to early intervention services (n = 1121). The likelihood of receiving clozapine was similar across all groups (at 12/24 months, all P < .101). Transition to psychosis from a clinical high-risk state is associated with severe real-world clinical outcomes. Prevention of transition to psychosis should remain a core target of future research. The study protocol was registered on www.researchregistry.com; researchregistry5039).

Emergency department and early detection of adolescents and young adults at risk of developing mental disorders: an exploratory study

The objective of this study is to assess the potential role of Emergency Department (ED) for early detection of mental disorders. Two cohorts (6,759 subjects aged 14 to 24 accessing ED, 165 subjects with mental disorders) were matched by ID and merged. Primary outcome was the proportion of individuals accessing ED before receiving a diagnosis of mental disorder in Mental Health Service (MHS). Secondary outcomes were age of first access to ED in subjects later accessing to MHS, and time from first ED access to receiving a diagnosis of mental disorder at MHS. We assessed whether gender, severity of ED presentation, and number of ED accesses predicted primary outcome. Almost half of individuals who later developed mental disorders (49.7%) accessed ED before access to MHS. Mean age of first ED contact among those later accessing to MHS was 17.34 (2.1), and ED access preceded access to MHS by 3.68 (2.11) years. Gender and severity of ED presentation were not associated with the access to MHS, while higher number of ED accesses was associated with later access to MHS (OR range: 1.17-1.36, p<0.05). Despite its limitations, the present study suggests ED might represent a contact point for individuals who later access to MHS. Future early detection programs should involve ED in their outreach and screening approaches. Additional studies are needed to assess if subjects earlier accessing to ED are at risk-of-developing or already suffer from a mental disorder, and to validate screening instruments specifically designed for ED.

Où en sommes-nous? An Overview of Successes and Challenges after 30 Years of Early Intervention Services for Psychosis in Quebec: Où en sommes-nous? Un aperçu des réussites et des problèmes après 30 ans de services d'intervention précoce pour la psychose au Québec

INTRODUCTION

Over the last 30 years, early intervention services (EIS) for first-episode psychosis (FEP) were gradually implemented in the province of Quebec. Such implementation occurred without provincial standards/guidelines and policy commitment to EIS until 2017. Although the literature highlights essential elements for EIS, studies conducted elsewhere reveal that important EIS components are often missing. No thorough review of Quebec EIS practices has ever been conducted, a gap we sought to address.

METHODS

Adopting a cross-sectional descriptive study design, an online survey was distributed to 18 EIS that existed in Quebec in 2016 to collect data on clinical, administrative, training, and research variables. Survey responses were compared with existing EIS service delivery recommendations.

RESULTS

Half of Quebec's population had access to EIS, with some regions having no programs. Most programs adhered to essential components of EIS. However, divergence from expert recommendations occurred with respect to variables such as open referral processes and patient-clinician ratio. Nonurban EIS encountered additional challenges related to their geography and lower population densities, which impacted their team size/composition and intensity of follow-up.

CONCLUSIONS

Most Quebec EIS offer adequate services but lack resources and organizational support to adhere to some core components. Recently, the provincial government has created EIS guidelines, invested in the development of new programs and offered implementation support from the National Centre of Excellence in Mental Health. These changes, along with continued mentoring and networking of clinicians and researchers, can help all Quebec EIS to attain and maintain recommended quality standards.

Symptom trajectories into eating disorders: A systematic review of longitudinal, nonclinical studies in children/adolescents

Background.

Eating disorders (EDs) are serious mental illnesses that can be life-threatening. Stage of illness models and early intervention strategies could be informed by a better understanding of symptomatology that precedes the onset of an ED. This review aims to explore which symptoms (both ED and other psychiatric disorder-related) exist prior to the onset of an ED and whether there any prospective associations between these symptomatologies.

Methods.

A systematic literature review was conducted in MEDLINE, Embase, and PsycINFO for large, longitudinal, prospective studies in nonclinical cohorts of children/adolescents that report symptoms prior to the onset of an ED. A quality assessment of included studies was conducted using the Newcastle-Ottawa Quality Assessment Scale.

Results.

A total of 22 studies were included, and over half were assessed to be of good quality. Studies identified the presence of a broad range of ED and other psychiatric disorder-related symptoms prior to ED onset. Possible prospective associations were identified, including early eating and feeding difficulties in childhood, to ED-related symptoms (e.g., dieting and body dissatisfaction) and other psychiatric disorder-related symptoms (e.g., anxiety and depression) in childhood/early adolescence, progressing to severe symptomatology (e.g., extreme weight control behaviors and self-harm) in mid-adolescence/emerging adulthood.

Conclusion.

The trajectory of symptoms identified to precede and possibly predict onset of an ED may inform early intervention strategies within the community. Suggestions for further research are provided to establish these findings and the clinical implications of these discussed, in order to inform how best to target prodromal stages of EDs.

Prediction of attempted suicide in men and women with crack-cocaine use disorder in Brazil

Background

Suicide is a severe health problem, with high rates in individuals with addiction. Considering the lack of studies exploring suicide predictors in this population, we aimed to investigate factors associated with attempted suicide in inpatients diagnosed with cocaine use disorder using two analytical approaches.

Methods

This is a cross-sectional study using a secondary database with 247 men and 442 women hospitalized for cocaine use disorder. Clinical assessment included the Addiction Severity Index, the Childhood Trauma Questionnaire, and the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, totalling 58 variables. Descriptive Poisson regression and predictive Random Forest algorithm were used complementarily to estimate prevalence ratios and to build prediction models, respectively. All analyses were stratified by gender.

Results

The prevalence of attempted suicide was 34% for men and 50% for women. In both genders, depression (PR_M = 1.56, PR_W = 1.27) and hallucinations (PR_M = 1.80, PR_W = 1.39) were factors associated with attempted suicide. Other specific factors were found for men and women, such as childhood trauma, aggression, and drug use severity. The men's predictive model had prediction statistics of AUC = 0.68, Acc. = 0.66, Sens. = 0.82, Spec. = 0.50, PPV = 0.47 and NPV = 0.84. This model identified several variables as important predictors, mainly related to drug use severity. The women's model had higher predictive power (AUC = 0.73 and all other statistics were equal to 0.71) and was parsimonious.

Conclusions

Our findings indicate that attempted suicide is associated with depression, hallucinations and childhood trauma in both genders. Also, it suggests that severity of drug use may be a moderator between predictors and suicide among men, while psychiatric issues shown to be more important for women.

Applying economic models to estimate local economic benefits of improved coverage of early intervention for psychosis

AIM

Early Intervention Psychosis Services (EIPS) for people experiencing First Episode Psychosis (FEP) offer important clinical and non-clinical benefits over standard care. Similarly, intervention for Clinical High Risk for Psychosis state (CHR-P) can prevent psychosis, ameliorate symptoms and have non-clinical benefits. This study aimed to estimate associated local economic benefits of FEP and CHR-P services compared with standard care.

METHODS

Across four south London boroughs, proportion of annual number of new cases of FEP and CHR-P seen by early intervention services was estimated. Economic modelling conducted for England's mental health strategy was applied to estimate local economic impacts of current and improved service provision.

RESULTS

Across four London boroughs during 2011/2012, proportion of 15-34 year olds with FEP seen by EIPS was 100.2% assuming 80/100 000 annual incidence whereas proportion with CHR-P seen by CHR-P services was 4.1% assuming 200/100 000 annual incidence. Application of economic modelling suggests that provision of EIPS to reach all new FEP cases each year would free up resources of £13.1m over 10 years including £2.0m to National Health Service (NHS) after the first year. Scaling up to reach all new CHR-P cases each year would free up resources of £19.7m over 10 years with an estimated 10-year cost of implementation gap for each 1 year cohort of £18.9m. An earlier related briefing resulted in increased funding for EIPS and new CHR-P services despite overall cuts to mental health services.

CONCLUSIONS

Estimation of local economic impacts of FEP and CHR-P services was associated with improved investment in such services.

Unmet needs for treatment in 102 individuals with brief and limited intermittent psychotic symptoms (BLIPS): implications for current clinical recommendations

AIMS

To investigate clinical outcomes and unmet needs in individuals at Clinical High Risk for Psychosis presenting with Brief and Limited Intermittent Psychotic Symptoms (BLIPS).

METHODS

Prospective naturalistic long-term (up to 9 years) cohort study in individuals meeting BLIPS criteria at the Outreach And Support In South-London (OASIS) up to April 2016. Baseline sociodemographic and clinical characteristics, specific BLIPS features, preventive treatments received and clinical outcomes (psychotic and non-psychotic) were measured. Analyses included Kaplan Meier survival estimates and Cox regression methods.

RESULTS

One hundred and two BLIPS individuals were followed up to 9 years. Across BLIPS cases, 35% had an abrupt onset; 32% were associated with acute stress, 45% with lifetime trauma and 20% with concurrent illicit substance use. The vast majority (80%) of BLIPS individuals, despite being systematically offered cognitive behavioural therapy for psychosis, did not fully engage with it and did not receive the minimum effective dose. Only 3% of BLIPS individuals received the appropriate dose of cognitive behavioural therapy. At 4-year follow-up, 52% of the BLIPS individuals developed a psychotic disorder, 34% were admitted to hospital and 16% received a compulsory admission. At 3-year follow-up, 52% of them received an antipsychotic treatment; at 4-year follow-up, 26% of them received an antidepressant treatment. The presence of seriously disorganising and dangerous features was a strong poor prognostic factor.

CONCLUSIONS

BLIPS individuals display severe clinical outcomes beyond their very high risk of developing psychosis and show poor compliance with preventive cognitive behavioural therapy. BLIPS individuals have severe needs for treatment that are not met by current preventive strategies.

Does an integrated outreach intervention targeting multiple stages of early psychosis improve the identification of individuals at clinical high risk?

AIMS

To explore the impact of a targeted case identification intervention, with training and education regarding first-episode psychosis and clinical high-risk syndromes, on the referral and identification of those at high risk.

METHODS

Using a historical control design, referral information from pre-intervention and post-intervention periods was collected via administrative data and clinician notes from a catchment-based early psychosis service.

RESULTS

A significant increase in the number of referrals sent to the service's clinical high-risk unit was observed following the intervention (P = 0.01). The proportion of referrals eligible was significantly higher post-intervention (P = 0.03), with the majority (26/44, 59.1%) referred via the first-episode psychosis service unit.

CONCLUSIONS

An integrated outreach intervention for both first-episode psychosis and the clinical high-risk state was effective in increasing referrals of eligible cases to the service's at-risk unit. Rather than being stage-specific, targeted case identification strategies and service integration should span across the early stages of psychosis.

Involuntary hospitalization among young people with early psychosis: A population-based study using health administrative data

OBJECTIVE

Early psychosis is an important window for establishing long-term trajectories. Involuntary hospitalization during this period may impact subsequent service engagement in people with newly diagnosed psychotic disorder. However, population-based studies of involuntary hospitalization in early psychosis are lacking. We sought to estimate the proportion of people aged 16 to 35 years with early psychosis in Ontario who are hospitalized involuntarily at first admission, and to identify the associated risk factors and outcomes.

METHODS

Using linked population-based health administrative data, we identified incident cases of non-affective psychosis over a five-year period (2009-2013) and followed cases for two years to ascertain the first psychiatric hospitalization. We used modified Poisson regression to model sociodemographic, clinical, and service-related risk factors, and compared service-related outcomes for cases admitted on an involuntary versus voluntary basis.

RESULTS

Among 17,725 incident cases of non-affective psychosis, 38% were hospitalized within two years, and 81% of these admissions occurred on an involuntary basis (26% of cohort). Sociodemographic factors associated with an increased risk of involuntary admission included younger age (16-20), and first-generation migrant status. The strongest risk factors were poor illness insight, recent police involvement, and admission to a general (versus psychiatric) hospital. Outcomes associated with involuntary admission included increased likelihood of control intervention use and a shorter length of stay.

CONCLUSIONS

One in four young people with first-episode psychosis will have an involuntary admission early in the course of their illness. Our findings highlight areas for intervention to improve pathways to care for people with psychotic disorder.

Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk and the Prediction of Psychosis: Second Replication in an Independent National Health Service Trust

BACKGROUND

The benefits of indicated primary prevention among individuals at Clinical High Risk for Psychosis (CHR-P) are limited by the difficulty in detecting these individuals. To overcome this problem, a transdiagnostic, clinically based, individualized risk calculator has recently been developed and subjected to a first external validation in 2 different catchment areas of the South London and Maudsley (SLaM) NHS Trust.

METHODS

Second external validation of real world, real-time electronic clinical register-based cohort study. All individuals who received a first ICD-10 index diagnosis of nonorganic and nonpsychotic mental disorder within the Camden and Islington (C&I) NHS Trust between 2009 and 2016 were included. The model previously validated included age, gender, ethnicity, age by gender, and ICD-10 index diagnosis to predict the development of any ICD-10 nonorganic psychosis. The model's performance was measured using Harrell's C-index.

RESULTS

This study included a total of 13702 patients with an average age of 40 (range 16-99), 52% were female, and most were of white ethnicity (64%). There were no CHR-P or child/adolescent services in the C&I Trust. The C&I and SLaM Trust samples also differed significantly in terms of age, gender, ethnicity, and distribution of index diagnosis. Despite these significant differences, the original model retained an acceptable predictive performance (Harrell's C of 0.73), which is comparable to that of CHR-P tools currently recommended for clinical use.

CONCLUSIONS

This risk calculator may pragmatically support an improved transdiagnostic detection of at-risk individuals and psychosis prediction even in NHS Trusts in the United Kingdom where CHR-P services are not provided.

Assessment and treatment of individuals at high risk for psychosis

Early detection and specialised early intervention for people at high risk for psychotic disorders have received growing attention in the past few decades, with the aim of delaying or preventing the outbreak of explicit psychotic symptoms and improving functional outcomes. This article summarises criteria for a diagnosis of high psychosis risk, the implications for such a diagnosis and recommendations for treatment.

LEARNING OBJECTIVES

After reading this article you will be able to: •

DECLARATION OF INTEREST

C.A. has received non-financial support from Sunovion and Lundbeck in the past 36 months.

The relationship between ethnicity and service access, treatment uptake and the incidence of psychosis among people at ultra high risk for psychosis

Black ethnicity is associated with increased risk for psychosis in South London. This study explored the distribution of ethnicity among services users at ultra high risk for psychosis (UHR) and examined the influence of ethnicity on service access, treatment uptake and incidence of psychosis. The ethnic distribution of 228 people at UHR for psychosis, seen in an early detection clinical service over 10 years, was compared with 146 people with first episode psychosis from the same geographic region and census figures for the local population. Black service users were significantly over-represented in the UHR group compared to the background population (34% vs 21%; p < 0.05); but less so than in the first episode sample (58% vs 19%; p < 0.05). Within the UHR sample, there was no strong evidence of differences between ethnic groups in the types of treatment provided, nor in the rate of transition to psychosis over 2 years. The absence of differences between ethnic groups in rates of transition to psychosis raises the possibility that access to mental health care at the high risk stage might have reduced the influence of ethnicity on the incidence of psychosis in this sample. This would need to be replicated in a larger sample.

CBT in the prevention of psychosis and other severe mental disorders in patients with an at risk mental state: A review and proposed next steps

Patients with an 'At risk mental state' (ARMS) for developing psychosis can be treated successfully with CBT to postpone and prevent the transition to a first psychotic episode. A characteristic of individuals that meet ARMS criteria is that they are still open for multiple explanations for extraordinary experiences. CBT aims to normalize extraordinary experiences with education and to prevent delusional explanations. The treatment is not only effective, but also cost-saving in averting psychosis as well as in reducing disability adjusted life years at 18- and 48-month follow-up. Profiling within the ARMS group results in a personalized treatment. The screening and early treatment for ARMS fulfills all the criteria of the World Health Organization and is ready to be routine screening and treatment in mental health care. At the same time, ARMS patients are complex patients with multi-morbid disorders. Especially childhood trauma is associated to ARMS status, together with co-morbid PTSD, depression, substance abuse and anxiety disorders. Psychotic symptoms appear to be severity markers in other non-psychotic disorders. Preventing psychosis in ARMS patients should be broadened to also address other disorders and aim to reduce chronicity of psychopathology and improve social functioning in general. Several mechanisms play a part in psychopathology in ARMS patients such as stress sensitivity as a result of adverse experiences, dopamine sensitivity that is associated with salience and aggravates several cognitive biases, dissociation mediating between trauma and hallucinations, and low self-esteem and self-stigma. New avenues to treat the complexity of ARMS patients will be proposed.

Transdiagnostic Individualized Clinically Based Risk Calculator for the Detection of Individuals at Risk and the Prediction of Psychosis: Model Refinement Including Nonlinear Effects of Age

Background: The first rate-limiting step for primary indicated prevention of psychosis is the detection of young people who may be at risk. The ability of specialized clinics to detect individuals at risk for psychosis is limited. A clinically based, individualized, transdiagnostic risk calculator has been developed and externally validated to improve the detection of individuals at risk in secondary mental health care. This calculator employs core sociodemographic and clinical predictors, including age, which is defined in linear terms. Recent evidence has suggested a nonlinear impact of age on the probability of psychosis onset. Aim: To define at a meta-analytical level the function linking age and probability of psychosis onset. To incorporate this function in a refined version of the transdiagnostic risk calculator and to test its prognostic performance, compared to the original specification. Design: Secondary analyses on a previously published meta-analysis and clinical register-based cohort study based on 2008-2015 routine secondary mental health care in South London and Maudsley (SLaM) National Health Service (NHS) Foundation Trust. Participants: All patients receiving a first index diagnosis of non-organic/non-psychotic mental disorder within SLaM NHS Trust in the period 2008-2015. Main outcome measure: Prognostic accuracy (Harrell's C). Results: A total of 91,199 patients receiving a first index diagnosis of non-organic and non-psychotic mental disorder within SLaM NHS Trust were included in the derivation (33,820) or external validation (54,716) datasets. The mean follow-up was 1,588 days. The meta-analytical estimates showed that a second-degree fractional polynomial model with power (-2, -1: age1 = age^-2 and age2 = age^-1) was the best-fitting model (P < 0.001). The refined model that included this function showed an excellent prognostic accuracy in the external validation (Harrell's C = 0.805, 95% CI from 0.790 to 0.819), which was statistically higher than the original model, although of modest magnitude (Harrell's C change = 0.0136, 95% CIs from 0.006 to 0.021, P < 0.001). Conclusions: The use of a refined version of the clinically based, individualized, transdiagnostic risk calculator, which allows for nonlinearity in the association between age and risk of psychosis onset, may offer a modestly improved prognostic performance. This calculator may be particularly useful in young individuals at risk of developing psychosis who access secondary mental health care.

Pan-London Network for Psychosis-Prevention (PNP)

Background: The empirical success of the Clinical High Risk for Psychosis (CHR-P) paradigm is determined by the concurrent integration of efficient detection of cases at-risk, accurate prognosis, and effective preventive treatment within specialized clinical services. The characteristics of the CHR-P services are relatively under-investigated. Method: A Pan-London Network for psychosis prevention (PNP) was created across urban CHR-P services. These services were surveyed to collect the following: description of the service and catchment area, outreach, service users, interventions, and outcomes. The results were analyzed with descriptive statistics and Kaplan Meier failure function. Results: The PNP included five CHR-P services across two NHS Trusts: Outreach and Support In South-London (OASIS) in Lambeth and Southwark, OASIS in Croydon and Lewisham, Tower Hamlets Early Detection Service (THEDS), City & Hackney At-Risk Mental State Service (HEADS UP) and Newham Early Intervention Service (NEIS). The PNP serves a total population of 2,318,515 Londoners (830,889; age, 16-35 years), with a yearly recruitment capacity of 220 CHR-P individuals (age, 22.55 years). Standalone teams (OASIS and THEDS) are more established and successful than teams that share their resources with other mental health services (HEADS UP, NEIS). Characteristics of the catchment areas, outreach and service users, differ across PNP services; all of them offer psychotherapy to prevent psychosis. The PNP is supporting several CHR-P translational research projects. Conclusions: The PNP is the largest CHR-P clinical network in the UK; it represents a reference benchmark for implementing detection, prognosis, and care in the real-world clinical routine, as well as for translating research innovations into practice.

Can We Reduce the Duration of Untreated Psychosis? A Systematic Review and Meta-Analysis of Controlled Interventional Studies

Reduction of duration of untreated psychosis (DUP) is the key strategy of early interventions for improving the outcomes of first-episode psychosis. Although several controlled interventional studies have been conducted with the aim of reducing DUP, the results are highly inconsistent and conflicting. The current study systematically searches Web of Science and Ovid for English original articles investigating interventions adopted to reduce DUP, compared to a control intervention, up to April 6, 2017. Sixteen controlled interventional studies were retrieved, including 1964 patients in the intervention arm and 1358 in the control arm. The controlled intervention studies were characterized by standalone first episode psychosis services, standalone clinical high risk services, community interventions, healthcare professional training, and multifocus interventions. Random effects meta-analyses were conducted. There was no summary evidence that available interventions are successful in reducing DUP during the first episode of psychosis (Hedges' g = -0.12, 95% CI = -0.25 to 0.01). Subgroup analyses showed no differences within each subgroup, with the exception of clinical high risk services (Hedges' g = -0.386, 95% CI = -0.726 to -0.045). These negative findings may reflect a parceled research base in the area, lack of prospective randomized controlled trials (only 2 randomized cluster designed studies were present) and small sample sizes. There was substantial heterogeneity (I2 = 66.4%), most of which was accounted by different definitions of DUP onset (R2 = .88). Psychometric standardization of DUP definition, improvement of study design, and implementation of preventative strategies seem the most promising avenues for reducing DUP and improving outcomes of first-episode psychosis.

Semistructured Interview for Bipolar At Risk States (SIBARS)

The external prognostic accuracy of Bipolar At Risk (BAR) criteria is undetermined and no psychometric tools are available to measure them. We present here three studies that overcome these limitations. Study 1 and 2 investigated the prognostic accuracy (Harrell's C) of the original BAR and revised Bipolar At Risk States (BARS) criteria respectively for the prediction of bipolar disorders, using a retrospective cohort of individuals at Clinical High Risk for Psychosis (CHR-P). Study 3 validated externally the prognostic accuracy of a newly developed Semistructured Interview of At Risk Bipolar States (SIBARS) in an independent prospective CHR-P cohort. In study 1 (n = 205), those meeting BAR criteria had an increased risk of developing bipolar disorders (HR = 5.30) relative to those not meeting them, but the prognostic accuracy was poor (Harrell's C = 0.659). In study 2 (n = 205), those meeting the refined BARS criteria had a higher risk of developing bipolar disorders than those not meeting them (HR = 12.364), with an adequate prognostic accuracy (Harrell's C = 0.777). Study 3 (n = 71) confirmed that SIBARS criteria had an adequate prognostic accuracy (Harrell's C = 0.742) and clinical utility. Overall, these findings suggest that the SIBARS could be used for the detection of individuals at risk of developing bipolar disorders in CHR-P services.

Why transition risk to psychosis is not declining at the OASIS ultra high risk service: The hidden role of stable pretest risk enrichment

BACKGROUND

The reason for declining risk to psychosis across individuals assessed and meeting Ultra High Risk (UHR) criteria is still unclear. No studies have investigated the potential substantial role of the underlying risk enrichment across all the individuals undergoing an UHR assessment.

METHODS

Cohort study including all non-psychotic subjects who were assessed on suspicion of psychosis risk by the OASIS UHR service in the period 2001 to 2015. Posttest (after UHR assessment) and pretest risk (before UHR assessment) of psychosis were stratified and compared across three time periods (2001-2005, 2006-2010, 2011-2015) with Cox analysis and modulating factors were investigated.

RESULTS

The posttest risk of psychosis at the OASIS service has increased from the initial pilot years of the service (2001-2005) and then stabilised and not declined over the following decade (2006-2010 and 2011-2015). This was paralleled by a similar course of pretest risk for psychosis. Stability of pretest risk for psychosis over the past decade was associated with a lack of change in ethnicity and to counterweighting changes in the type of referral sources over different time periods.

CONCLUSIONS

The time course of transition risk to psychosis in UHR services is strictly associated with the time course of pretest risk enrichment. If the latter remains stable over time, as for the OASIS service, no declining transition risk is observed over the most recent years. Pretest risk enrichment is determined by recruitment and sampling strategies. This study confirms the need to control these factors in the UHR field.

Imaging and Genetic Biomarkers Predicting Transition to Psychosis

The search for diagnostic and prognostic biomarkers in schizophrenia care and treatment is the focus of many within the research community. Longitudinal cohorts of patients presenting at elevated genetic and clinical risk have provided a wealth of data that has informed our understanding of the development of schizophrenia and related psychotic disorders.Imaging follow-up of high-risk cohorts has demonstrated changes in cerebral grey matter of those that eventually transition to schizophrenia that predate the onset of symptoms and evolve over the course of illness. Longitudinal follow-up studies demonstrate that observed grey matter changes can be employed to differentiate those who will transition to schizophrenia from those who will not prior to the onset of the disorder.In recent years our understanding of the genetic makeup of schizophrenia has advanced significantly. The development of modern analysis techniques offers researchers the ability to objectively quantify genetic risk; these have been successfully applied within a high-risk paradigm to assist in differentiating between high-risk individuals who will subsequently become unwell and those who will not.This chapter will discuss the application of imaging and genetic biomarkers within high-risk groups to predict future transition to schizophrenia and related psychotic disorders. We aim to provide an overview of current approaches focussing on grey matter changes that are predictive of future transition to illness, the developing field of genetic risk scores and other methods being developed to aid clinicians in diagnosis and prognosis.

Improving outcomes of first-episode psychosis: an overview

Outcomes of psychotic disorders are associated with high personal, familiar, societal and clinical burden. There is thus an urgent clinical and societal need for improving those outcomes. Recent advances in research knowledge have opened new opportunities for ameliorating outcomes of psychosis during its early clinical stages. This paper critically reviews these opportunities, summarizing the state-of-the-art knowledge and focusing on recent discoveries and future avenues for first episode research and clinical interventions. Candidate targets for primary universal prevention of psychosis at the population level are discussed. Potentials offered by primary selective prevention in asymptomatic subgroups (stage 0) are presented. Achievements of primary selected prevention in individuals at clinical high risk for psychosis (stage 1) are summarized, along with challenges and limitations of its implementation in clinical practice. Early intervention and secondary prevention strategies at the time of a first episode of psychosis (stage 2) are critically discussed, with a particular focus on minimizing the duration of untreated psychosis, improving treatment response, increasing patients' satisfaction with treatment, reducing illicit substance abuse and preventing relapses. Early intervention and tertiary prevention strategies at the time of an incomplete recovery (stage 3) are further discussed, in particular with respect to addressing treatment resistance, improving well-being and social skills with reduction of burden on the family, treatment of comorbid substance use, and prevention of multiple relapses and disease progression. In conclusion, to improve outcomes of a complex, heterogeneous syndrome such as psychosis, it is necessary to globally adopt complex models integrating a clinical staging framework and coordinated specialty care programmes that offer pre-emptive interventions to high-risk groups identified across the early stages of the disorder. Only a systematic implementation of these models of care in the national health care systems will render these strategies accessible to the 23 million people worldwide suffering from the most severe psychiatric disorders.

Canadian Guidelines for the Pharmacological Treatment of Schizophrenia Spectrum and Other Psychotic Disorders in Children and Youth

OBJECTIVE

Schizophrenia spectrum and other psychotic disorders often have their onset in adolescence. The sequelae of these illnesses can negatively alter the trajectory of emotional, cognitive, and social development in children and youth if left untreated. Early and appropriate interventions can improve outcomes. This article aims to identify best practices in the pharmacotherapy management of children and youth with schizophrenia spectrum disorders.

METHODS

A systematic search was conducted for published guidelines for schizophrenia and schizophrenia spectrum disorders in children and youth (under age 18 years). Recommendations were drawn from the National Institute for Health and Care Excellence guidelines on psychosis and schizophrenia in children and youth (2013 and 2015 updates). Current guidelines were adopted using the ADAPTE process, which includes consensus ratings by a panel of experts.

RESULTS

Recommendations identified covered a range of issues in the pharmacotherapy management of children and youth with schizophrenia spectrum disorders. Further work in this area is warranted as we continue to further understand their presentation in the developing brain.

CONCLUSIONS

Canadian guidelines for the pharmacotherapy management of children and youth with schizophrenia spectrum disorders are essential to assist clinicians in treating this vulnerable population. Ongoing work in this area is recommended.

Big data in mental health research - do the ns justify the means? Using large data-sets of electronic health records for mental health research

Advances in information technology and data storage, so-called 'big data', have the potential to dramatically change the way we do research. We are presented with the possibility of whole-population data, collected over multiple time points and including detailed demographic information usually only available in expensive and labour-intensive surveys, but at a fraction of the cost and effort. Typically, accounts highlight the sheer volume of data available in terms of terabytes (10¹²) and petabytes (10¹⁵) of data while charting the exponential growth in computing power we can use to make sense of this. Presented with resources of such dizzying magnitude it is easy to lose sight of the potential limitations when the amount of data itself appears unlimited. In this short account I look at some recent advances in electronic health data that are relevant for mental health research while highlighting some of the potential pitfalls.

Utility of risk-status for predicting psychosis and related outcomes: evaluation of a 10-year cohort of presenters to a specialised early psychosis community mental health service

Psychosis transition rates by those at clinical high risk have been highly variable and few studies have compared service presenters across the full psychosis risk spectrum with respect to medium-term outcomes. A 10-year service cohort was examined (N=1997), comprising all presentations to an early psychosis service for young people experiencing a recent psychotic episode or at increased risk ('Psychological Assistance Service', Newcastle, Australia). Baseline and longitudinal service data (median follow-up =7.3 years) were used in a series of logistic regressions to examine relationships between psychosis risk-status and subsequent illness episodes, hospital admissions, and community contacts. Six baseline groups were identified: existing (14.5%) and recent psychosis (19.8%); ultra-high risk (UHR, 9.6%); non-psychotic disorders without (35.4%, the reference group) and with psychiatric admissions (8.3%); and incomplete assessments (12.5%). High comorbidity levels were reported by the cohort (psychosocial problems, 61.1%; depression, 54.1%; substance misuse, 40.7%). UHR clients experienced similar psychosis transition rates to the reference group (17.3% vs. 14.6%; 8.9% vs. 9.1% within 2-years) and comparable rates of subsequent non-psychosis outcomes. A 25.9% conversion rate from early psychosis to schizophrenia was detected. However, among transitioning individuals, UHR clients faired relatively better, particularly with respect to changes in comorbidity and mental health contacts. Interventions tailored to current problems, recovery and psychological strengthening may be more appropriate than those based on estimated psychosis risk, which currently lacks clinical utility.

Long-term validity of the At Risk Mental State (ARMS) for predicting psychotic and non-psychotic mental disorders

BACKGROUND

The long-term clinical validity of the At Risk Mental State (ARMS) for the prediction of non-psychotic mental disorders is unknown.

METHODS

Clinical register-based cohort study including all non-psychotic individuals assessed by the Outreach And Support in South London (OASIS) service (2002-2015). The primary outcome was risk of developing any mental disorder (psychotic or non-psychotic). Analyses included Cox proportional hazard models, Kaplan-Meier survival/failure function and C statistics.

RESULTS

A total of 710 subjects were included. A total of 411 subjects were at risk (ARMS+) and 299 not at risk (ARMS-). Relative to ARMS-, the ARMS+ was associated with an increased risk (HR=4.825) of developing psychotic disorders, and a reduced risk (HR=0.545) of developing non-psychotic disorders (mainly personality disorders). At 6-year, the ARMS designation retained high sensitivity (0.873) but only modest specificity (0.456) for the prediction of psychosis onset (AUC 0.68). The brief and limited intermittent psychotic symptoms (BLIPS) subgroup had a higher risk of developing psychosis, and a lower risk of developing non-psychotic disorders as compared to the attenuated psychotic symptoms (APS) subgroup (P<0.001).

CONCLUSIONS

In the long-term, the ARMS specifically predicts the onset of psychotic disorders, with modest accuracy, but not of non-psychotic disorders. Individuals meeting BLIPS criteria have distinct clinical outcomes.

SIGNIFICANT OUTCOMES

In the long-term, the ARMS designation is still significantly associated with an increased risk of developing psychotic disorders but its prognostic accuracy is only modest. There is no evidence that the ARMS is associated with an increased risk of developing non-psychotic mental disorders. The BLIPS subgroup at lower risk of developing non-psychotic disorders compared to the APS subgroup.

LIMITATIONS

While incident diagnoses employed in this study are high in ecological validity they have not been subjected to formal validation with research-based criteria.

Clinical outcomes and mortality associated with weekend admission to psychiatric hospital

BACKGROUND

Studies indicate that risk of mortality is higher for patients admitted to acute hospitals at the weekend. However, less is known about clinical outcomes among patients admitted to psychiatric hospitals.

AIMS

To investigate whether weekend admission to a psychiatric hospital is associated with worse clinical outcomes.

METHOD

Data were obtained from 45 264 consecutive psychiatric hospital admissions. The association of weekend admission with in-patient mortality, duration of hospital admission and risk of readmission was investigated using multivariable regression analyses. Secondary analyses were performed to investigate the distribution of admissions, discharges, in-patient mortality, episodes of seclusion and violent incidents on different days of the week.

RESULTS

There were 7303 weekend admissions (16.1%). Patients who were aged between 26 and 35 years, female or from a minority ethnic group were more likely to be admitted at the weekend. Patients admitted at the weekend were more likely to present via acute hospital services, other psychiatric hospitals and the criminal justice system than to be admitted directly from their own home. Weekend admission was associated with a shorter duration of admission (B coefficient -21.1 days, 95% CI -24.6 to -17.6, P<0.001) and an increased risk of readmission in the 12 months following index admission (incidence rate ratio 1.13, 95% CI 1.08 to 1.18, P<0.001), but in-patient mortality (odds ratio (OR) = 0.79, 95% CI 0.51 to 1.23, P = 0.30) was not greater than for weekday admission. Fewer episodes of seclusion occurred at the weekend but there was no significant variation in deaths during hospital admission or violent incidents on different days of the week.

CONCLUSIONS

Being admitted at the weekend was not associated with an increased risk of in-patient mortality. However, patients admitted at the weekend had shorter admissions and were more likely to be readmitted, suggesting that they may represent a different clinical population to those admitted during the week. This is an important consideration if mental healthcare services are to be implemented across a 7-day week.

Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource

PURPOSE

The South London and Maudsley National Health Service (NHS) Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive Search (CRIS) application were developed in 2008, generating a research repository of real-time, anonymised, structured and open-text data derived from the electronic health record system used by SLaM, a large mental healthcare provider in southeast London. In this paper, we update this register's descriptive data, and describe the substantial expansion and extension of the data resource since its original development.

PARTICIPANTS

Descriptive data were generated from the SLaM BRC Case Register on 31 December 2014. Currently, there are over 250,000 patient records accessed through CRIS.

FINDINGS TO DATE

Since 2008, the most significant developments in the SLaM BRC Case Register have been the introduction of natural language processing to extract structured data from open-text fields, linkages to external sources of data, and the addition of a parallel relational database (Structured Query Language) output. Natural language processing applications to date have brought in new and hitherto inaccessible data on cognitive function, education, social care receipt, smoking, diagnostic statements and pharmacotherapy. In addition, through external data linkages, large volumes of supplementary information have been accessed on mortality, hospital attendances and cancer registrations.

FUTURE PLANS

Coupled with robust data security and governance structures, electronic health records provide potentially transformative information on mental disorders and outcomes in routine clinical care. The SLaM BRC Case Register continues to grow as a database, with approximately 20,000 new cases added each year, in addition to extension of follow-up for existing cases. Data linkages and natural language processing present important opportunities to enhance this type of research resource further, achieving both volume and depth of data. However, research projects still need to be carefully tailored, so that they take into account the nature and quality of the source information.

Services for people at high risk improve outcomes in patients with first episode psychosis

OBJECTIVE

About one-third of patients referred to services for people at high risk for psychosis may have already developed a first episode of psychosis (FEP). We compared clinical outcomes in FEP patients who presented to either high risk or conventional mental health services.

METHOD

Retrospective study comparing duration of hospital admission, referral-to-diagnosis time, need for compulsory hospital admission and frequency of admission in patients with FEP who initially presented to a high-risk service (n = 164) to patients with FEP who initially presented to conventional mental health services (n = 2779). Regression models were performed, controlling for several confounders.

RESULTS

FEP patients who had presented to a high-risk service spent 17 fewer days in hospital [95% CI: -33.7 to (-0.3)], had a shorter referral-to-diagnosis time [B coefficient -74.5 days, 95% CI: -101.9 to -(47.1)], a lower frequency of admission [IRR: 0.49 (95% CI: 0.39-0.61)] and a lower likelihood of compulsory admission [OR: 0.52 (95% CI: 0.34-0.81)] in the 24 months following referral, as compared to FEP patients who were first diagnosed at conventional services.

CONCLUSION

Services for people at high risk for psychosis are associated with better clinical outcomes in patients who are already psychotic.