Assessing violence risk in first-episode psychosis: external validation, updating and net benefit of a prediction tool (OxMIV)

BACKGROUND: Violence perpetration is a key outcome to prevent for an important subgroup of individuals presenting to mental health services, including early intervention in psychosis (EIP) services. Needs and risks are typically assessed without structured methods, which could facilitate consistency and accuracy. Prediction tools, such as OxMIV (Oxford Mental Illness and Violence tool), could provide a structured risk stratification approach, but require external validation in clinical settings. OBJECTIVES: We aimed to validate and update OxMIV in first-episode psychosis and consider its benefit as a complement to clinical assessment. METHODS: A retrospective cohort of individuals assessed in two UK EIP services was included. Electronic health records were used to extract predictors and risk judgements made by assessing clinicians. Outcome data involved police and healthcare records for violence perpetration in the 12 months post-assessment. FINDINGS: Of 1145 individuals presenting to EIP services, 131 (11%) perpetrated violence during the 12 month follow-up. OxMIV showed good discrimination (area under the curve 0.75, 95% CI 0.71 to 0.80). Calibration-in-the-large was also good after updating the model constant. Using a 10% cut-off, sensitivity was 71% (95% CI 63% to 80%), specificity 66% (63% to 69%), positive predictive value 22% (19% to 24%) and negative predictive value 95% (93% to 96%). In contrast, clinical judgement sensitivity was 40% and specificity 89%. Decision curve analysis showed net benefit of OxMIV over comparison approaches. CONCLUSIONS: OxMIV performed well in this real-world validation, with improved sensitivity compared with unstructured assessments. CLINICAL IMPLICATIONS: Structured tools to assess violence risk, such as OxMIV, have potential in first-episode psychosis to support a stratified approach to allocating non-harmful interventions to individuals who may benefit from the largest absolute risk reduction

Bullying victimization and psychosis : the inter-dependence and independence of risk trajectories

In the last several years a number of studies have noted an association between bullying and psychotic symptoms. Our aim here is to offer an overview on the topic, focusing especially on a developmental perspective. First, we highlight the latest studies to date regarding psychosis across the continuum and its relationship with bullying. In the second section, we summarize the three main explanatory models investigated: developmental, biological and cognitive models. In the discussion section we affirm that the sharing of numerous risk factors put people at risk of both psychosis and of being bullied, and bullying itself may further enhance the development of psychosis. Moreover, bullying is a risk factor for several mental disorders and is non-specific for psychosis, but there is some particularity in the trajectory involved between victimization and the onset of psychosis. In conclusion we recommend that the study of bullying in psychosis requires careful study of the developmental trajectories involved and research should now focus on how personal, social and biological factors interact between them

Inflammation and immunity in schizophrenia: implications for pathophysiology and treatment.

Complex interactions between the immune system and the brain might have important aetiological and therapeutic implications for neuropsychiatric brain disorders. A possible association between schizophrenia and the immune system was postulated over a century ago, and is supported by epidemiological and genetic studies pointing to links with infection and inflammation. Contrary to the traditional view that the brain is an immunologically privileged site shielded behind the blood-brain barrier, studies in the past 20 years have noted complex interactions between the immune system, systemic inflammation, and the brain, which can lead to changes in mood, cognition, and behaviour. In this Review, we describe some of the important areas of research regarding innate and adaptive immune response in schizophrenia and related psychotic disorders that, we think, will be of interest to psychiatric clinicians and researchers. We discuss potential mechanisms and therapeutic implications of these findings, including studies of anti-inflammatory drugs in schizophrenia, describe areas for development, and offer testable hypotheses for future investigations.The work was supported by a doctoral clinical research training fellowship grant from the Wellcome Trust to Golam Khandaker (094790/Z/10/Z; 2010-‘13), grants from the Stanley Medical Research Institute and the National Institutes of Mental Health (grant# MH-94268) to Robert Yolken, and grants from the Wellcome Trust (095844/Z/11/Z & 088869/Z/09/Z), and the NIHR (RP-PG-0606-1335) to Peter Jones.This is the accepted manuscript. The final version is available from Elsevier at http://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366%2814%2900122-9/abstrac

Approaches and challenges to assessing risk of violence in first episode psychosis: A qualitative interview study of clinicians, patients and carers

Aim: Clinical services for early psychosis seek to improve prognosis for a range of adverse outcomes. For some individuals, perpetration of violence is an important potential outcome to reduce. How these clinical services currently assess this risk however is uncertain. This study aimed to address this gap by using qualitative methods to examine in depth current approaches, attitudes and challenges to assessing violence risk in this clinical setting, from the perspectives of multidisciplinary clinicians, patients and carers. Methods: Participants were recruited from two UK Early Intervention in Psychosis services. Semi‐structured individual interviews were undertaken using a topic guide. In addition, clinical vignettes were presented to clinician participants as a probe to prompt discussion. Data were analysed using thematic analysis, informed by the constant comparative method. Results: We conducted 30 qualitative interviews, of 18 clinicians and 12 patients and carers. Themes developed from clinician interviews included key difficulties of low confidence, limited training, accessing collateral information and variation in how risk is appraised and communicated. Potential stigma and sensitivity of the topic of violence were perceived as barriers to its discussion. Patient and carer perspectives provided insight into how to address barriers, and highlighted the importance of an open approach, including with families. Conclusions: We recommend developing contextually appropriate pathways to collaboratively assess violence risk and identify modifiable needs to reduce this risk, and for practical improvements in training and information‐sharing

Assessing violence risk in first-episode psychosis: external validation, updating and net benefit of a prediction tool (OxMIV)

Violence perpetration is a key outcome to prevent for an important subgroup of individuals presenting to mental health services, including early intervention in psychosis (EIP) services. Needs and risks are typically assessed without structured methods, which could facilitate consistency and accuracy. Prediction tools, such as OxMIV (Oxford Mental Illness and Violence tool), could provide a structured risk stratification approach, but require external validation in clinical settings. We aimed to validate and update OxMIV in first-episode psychosis and consider its benefit as a complement to clinical assessment. A retrospective cohort of individuals assessed in two UK EIP services was included. Electronic health records were used to extract predictors and risk judgements made by assessing clinicians. Outcome data involved police and healthcare records for violence perpetration in the 12 months post-assessment. Of 1145 individuals presenting to EIP services, 131 (11%) perpetrated violence during the 12 month follow-up. OxMIV showed good discrimination (area under the curve 0.75, 95% CI 0.71 to 0.80). Calibration-in-the-large was also good after updating the model constant. Using a 10% cut-off, sensitivity was 71% (95% CI 63% to 80%), specificity 66% (63% to 69%), positive predictive value 22% (19% to 24%) and negative predictive value 95% (93% to 96%). In contrast, clinical judgement sensitivity was 40% and specificity 89%. Decision curve analysis showed net benefit of OxMIV over comparison approaches. OxMIV performed well in this real-world validation, with improved sensitivity compared with unstructured assessments. Structured tools to assess violence risk, such as OxMIV, have potential in first-episode psychosis to support a stratified approach to allocating non-harmful interventions to individuals who may benefit from the largest absolute risk reduction

Memory Encoding and Dopamine in the Aging Brain: A Psychopharmacological Neuroimaging Study

Normal aging brings with it changes in dopaminergic and memory functions. However, little is known about how these 2 changes are related. In this study, we identify a link between dopamine, episodic memory networks, and aging, using pharmacological functional magnetic resonance imaging. Young and older adults received a D2-like agonist (Bromocriptine, 1.25 mg), a D2-like antagonist (Sulpiride, 400 mg), and Placebo, in a double-blind crossover procedure. We observed group differences, during memory encoding, in medial temporal, frontal, and striatal regions and moreover, these regions were differentially sensitive across groups to dopaminergic perturbation. These findings suggest that brain systems underlying memory show age-related changes and that dopaminergic function may be key in understanding these changes. That these changes have behavioral consequences was suggested by the observation that drug modulations were most pronounced in older subjects with poorer recognition memory. Our findings provide direct evidence linking ageing, memory, and dopaminergic change

The effect of a youth mental health service model on access to secondary mental healthcare for young people aged 14–25 years

Aims and method: The Norfolk Youth Service was created in 2012 in response to calls to redesign mental health services to better meet the needs of young people. The new service model transcends traditional boundaries by creating a single, ‘youth friendly’ service for young people aged 14–25 years. The aim of this study was to investigate the effect of the transition to this new model on patterns of referral, acceptance and service use. We analysed routinely collected data on young people aged 14–25 years referred for secondary mental healthcare in Norfolk before and after implementation of the youth mental health service. The number of referrals, their age and gender, proportion of referrals accepted and average number of service contacts per referral by age pre- and post-implementation were compared. Results: Referrals increased by 68% following implementation of the new service model, but the proportion of referrals accepted fell by 27 percentage points. Before implementation of the youth service, there was a clear discrepancy between the peak age of referral and the age of those seen by services. Following implementation, service contacts were more equitable across ages, with no marked discontinuity at age 18 years. Clinical implications: Our findings suggest that the transformation of services may have succeeded in reducing the ‘cliff edge’ in access to mental health services at the transition to adulthood. However, the sharp rise in referrals and reduction in the proportion of referrals accepted highlights the importance of considering possible unintended consequences of new service models. Declaration of interests: None