Violent behaviour in early psychosis patients: Can we identify clinical risk profiles?

Metabolic pathway modulation by olanzapine: Multitarget approach for treating violent aggression in patients with schizophrenia

BACKGROUND

The use of network pharmacology and blood metabolomics to study the pathogenesis of violent aggression in patients with schizophrenia and the related drug mechanisms of action provides new directions for reducing the risk of violent aggression and optimizing treatment plans.

AIM

To explore the metabolic regulatory mechanism of olanzapine in treating patients with schizophrenia with a moderate to high risk of violent aggression.

METHODS

Metabolomic technology was used to screen differentially abundant metabolites in patients with schizophrenia with a moderate to high risk of violent aggression before and after olanzapine treatment, and the related metabolic pathways were identified. Network pharmacology was used to establish protein-protein interaction networks of the core targets of olanzapine. Gene Ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were subsequently performed.

RESULTS

Compared with the healthy group, the patients with schizophrenia group presented significant changes in the levels of 24 metabolites related to the disruption of 9 metabolic pathways, among which the key pathways were the alanine, aspartate and glutamate metabolism and arginine biosynthesis pathways. After treatment with olanzapine, the levels of 10 differentially abundant metabolites were significantly reversed in patients with schizophrenia. Olanzapine effectively regulated six metabolic pathways, among which the key pathways were alanine, aspartate and glutamate metabolism and arginine biosynthesis pathways. Ten core targets of olanzapine were involved in several key pathways.

CONCLUSION

The metabolic pathways of alanine, aspartate, and glutamate metabolism and arginine biosynthesis are the key pathways involved in olanzapine treatment for aggressive schizophrenia.

Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia

Objective

To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia.

Methods

A sample of 1,664 patients with post-violence assessments and their propensity score-matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases.

Results

Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance (p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence (p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients.

Conclusion

The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients.

Characteristics of International Assaultive Psychiatric Patients: Review of Published Findings, 2017-2022

Since the 1960s, empirical research has focused on a better understanding of the characteristics of assaultive psychiatric patients. International research from 1960 to 2017 indicated that male and female patients with schizophrenia and substance use disorder presented the greatest risk for assault with nursing personnel being at higher risk. This present review of studies sought to assess the latest research findings on assaultive patients for the most recent five-year period, 2017-2022. It was hypothesized that patients with schizophrenia and substance use disorders would present the greatest assault risk for nursing personnel. The studies in this review supported this hypothesis. Assaults by patients with schizophrenia and substance abuse has been a consistent finding worldwide for 62 years of published research. Explanations for these findings, the possible role of posttraumatic stress disorder (PTSD) in assaultive patients, and an updated methodological review are presented.

Risk factors for violence among female forensic inpatients with schizophrenia

INTRODUCTION

Schizophrenia is associated with a heightened risk of violent behavior. However, conclusions on the nature of this relationship remain inconclusive. Equally, the empirical evidence on female patients with schizophrenia spectrum disorders (SSD) is strongly underrepresented.

METHODS

For this purpose, the first aim of the present retrospective follow-up study was to determine the risk factors of violence in a sample of 99 female SSD patients discharged from forensic psychiatric treatment between 2001 and 2017, using three different measures of violence at varying time points (i.e., violent index offense, inpatient violence, and violent recidivism). Potential risk factors were retrieved from the relevant literature on SSD as well as two violence risk assessment instruments (i.e., HCR-20 V3, FAM). Further, we aimed to assess the predictive validity of the HCR-20 V3 in terms of violent recidivism and evaluate the incremental validity of the FAM as a supplementary gender-responsive assessment.

RESULTS

The given results indicate strong heterogeneity between the assessed violence groups in terms of risk factors. Particularly, violence during the index offense was related to psychotic symptoms while inpatient violence was associated with affective and behavioral instability as well as violent ideation/intent, psychotic symptoms, and non-responsiveness to treatment. Lastly, violent recidivism was related to non-compliance, cognitive instability, lack of insight, childhood antisocial behavior, and poverty. Further, the application of the HCR-20 V3 resulted in moderate predictive accuracy (AUC = 0.695), while the supplementary assessment of the FAM did not add any incremental validity.

DISCUSSION

This article provides important insights into the risk factors of violence among female SSD patients while highlighting the importance of differentiating between various forms of violence. Equally, it substitutes the existing evidence on violence risk assessment in female offenders with SSD.

[Impulsivity and aggression in patients at risk for schizophrenia at the stage of remission after the first depressive episode]

OBJECTIVE

To study the phenomenon of impulsivity, its components and aggression in patients at risk for schizophrenia at the stage of remission after the first depressive episode.

MATERIAL AND METHODS

Forty-eight male patients (mean age 19.4±2.9 years) with the first depressive episode (ICD-10 F32.1, F32.2) with attenuated positive, negative and/or disorganized symptoms were examined. According to the severity of impulsivity, the patients were divided into the clinical group (n=26) with pathological impulsivity and the comparison group (n=27) without it. The control group consisted of 41 mentally healthy young men, students of higher education of 1-3 courses, (mean age 19.7±1.6 years). HDRS, SOPS, SANS, Barratt Impulsiveness Scale (BIS-11) and Buss Perry Aggression Questionnaire (BPAQ) were used. Statistical analysis was carried out using the Statistica 12 software.

RESULTS

The differences between the clinical group and the comparison group were determined by the total score of the subscale of general symptoms of SOPS at admission (53 [41.75; 56] and 45.5 [41.75; 51.25], respectively) (U=187.5; p=0.037) and at discharge (28 [19; 37] and 25 [17.75; 29.25] points respectively) (U=166.5; p=0.012), according to the total HDRS score at admission (35 [31; 38] and 29 [26; 34.25]) (U=191.0; p=0.046). In the clinical group, the motor component of impulsivity and the factor of general impulsivity on the BIS-11 correlated with the severity of aggression on the BPAQ (r=0.395, p<0.05 and r=0.635, p<0.05, respectively). Significant differences were revealed in the clinical group depending on the presence of negative symptoms on the corresponding SOPS subscale according to the total BPAQ score (p=0.01). Correlation analysis showed numerous connections: positive between the total aggressiveness score and the duration of depression (p<0.05), negative between the factors of self-control, consistency, attention, and total scores on the SANS and SOPS (p<0.05).

CONCLUSION

We identify the differences in the structure of impulsivity in patients at risk of developing schizophrenia at the stage of remission after the first depressive state, the comparison group and the control group, as well as the relationship of impulsivity factors with individual clusters of psychopathological disorders.

Substance Use Disorders as a Critical Element for Decision-Making in Forensic Assertive Community Treatment: A Systematic Review

Introduction: The prevalence of substance use disorders in forensic populations is high. They are an important factor linked to negative outcomes in mentally ill offenders and are detrimental to forensic or non-forensic outcome measures. In contrast, substance use disorders are often underdiagnosed and undertreated, especially in forensic settings. Forensic Assertive Community Treatment is a forensic adaptation of regular assertive community treatment, combined with essential elements of forensic rehabilitation theories. Little is known however on the effectivity of forensic assertive community treatment when it comes to substance use disorders or what their exact role is on the outcome measures. In this paper, we explore how SUD is treated in Forensic assertive community treatment and how it relates to the forensic and non-forensic outcome measures. Methods: We performed a systematic review (PRISMA) of forensic Assertive community treatment teams that followed the main evidence-based principles of regular assertive community treatment and added basic elements of forensic rehabilitation. We analyzed articles the Psychinfo and Medline databases dating from 2005 to 2020. Fifteen studies fit the search criteria and were included in the analysis. The Quality of the studies was assessed using the Newcastle-Ottawa scale. Results: SUD was highly prevalent in all studies. Patients entered FACT through two pathways, either from a care continuum or directly from prison. The severity of SUD at intake emerges as a critical element when deciding which pathway to choose, as a high severity-score at the start of FACT follow-up was linked to recidivism. While differing in method all studies offered integrated SUD treatment. These included evidence-based techniques like CBT, therapeutic communities, and Substance Abuse Management Module. Though results on SUD outcomes were mixed 4 studies mentioned abstinence in 50-75%. The severity of SUD tended to increase initially and to stabilize afterwards. Conclusion: Severity of SUD at intake emerges as a decisive element in decision-making on entering FACT teams directly from prison or through a care-continuum. The ways to provide SUD treatment varied and outcomes for SUD were mixed. SUD was found to be detrimental to forensic and non-forensic outcome measures, such as recidivism or hospitalizations during FACT treatment.

Young age and the risk of violent behaviour in people with severe mental disorders: prospective, multicentre study

Background

During adolescence and young adulthood people appear to be more prone to violent behaviour. A greater tendency to violent behaviour appears to be associated with hyperactivity, impulsivity and low tolerance for frustration and provocation in social settings.

Aims

This prospective cohort study aimed to evaluate rates of violent behaviour among young people with mental disorders, compared with older age groups.

Method

A total of 340 individuals with severe mental disorders (125 living in residential facilities and 215 out-patients) were evaluated at baseline with the SCID-I and II, Brief Psychiatric Rating Scale, Specific Level of Functioning scale, Brown–Goodwin Lifetime History of Aggression scale, Buss–Durkee Hostility Inventory, Barratt Impulsiveness Scale and State–Trait Anger Expression Inventory-2. Aggressive behaviour was rated every 15 days with the Modified Overt Aggression Scale (MOAS).

Results

The sample comprised 28 individuals aged 18–29 years, 202 aged 30–49 and 110 aged 50 and over. Younger age was associated with a personality disorder diagnosis, substance use disorder, being single and employed. These results were confirmed even controlling for the gender effect. The patterns of the cumulative MOAS mean scores showed that younger (18–29 years old) individuals were significantly more aggressive than older (≥50) ones (P < 0.001).

Conclusions

This study highlights how young age in people with severe mental disorders is correlated with higher levels of impulsivity, anger and hostility, confirming previous analyses. Our results may assist clinicians in implementing early interventions to improve anger and impulsivity control to reduce the risk of future aggressive behaviours.

[Individual and contextual factors associated with violent behaviours during psychiatric hospitalizations]

BACKGROUND

The prevention of Physical Violent Behavior (VB) toward others during psychiatric hospitalization is a major concern of clinicians. These VBs can have a deleterious impact on the victims, inpatients or caregivers, as well as on the therapeutic milieu. Such violence can also have negative consequences for the assailant patients, such as repeatedly being hospitalized under restraint, stigmatization, and difficulties reintegrating into the community.

OBJECTIVES

This study explored individual (age, gender, marital status, living status, diagnostic) and institutional (type of admission, length of stay, number of previous hospitalizations) risk factors, and how their interactions could increase the risk of VB during psychiatric hospitalizations.

METHOD

The study was carried out over a period of four years in the psychiatry department of the Lausanne University Hospital, on the 15 wards (219 beds) specialized in acute psychiatric care for adults. All the patients admitted to one of these wards during this period (n=4518), aged between 18 and 65 years, were included in the study. The sample was divided in two groups: non-violent patients (NVPs) and violent patients (VPs). VBs, defined as physical aggressions against another person, were assessed by the Staff Observation Aggression Scale - Revised (SOAS - R). Only physical assaults, associated or not with other types of violence, involving hospitalized patients were analyzed. Personal and institutional factors were extracted from the hospital database. Chi² independence tests were used to assess differences between groups. Logistic regression models were used to identify the links between each factor and the VB. Classification and regression trees were used to study the hierarchical effect of factors, and combinations of factors, on VBs.

RESULTS

During the study period, 414 VBs were reported involving 199 patients (4.40 % of all patients). VPs were significantly younger, male, more likely to be unmarried and living in sheltered housing before hospitalization. In this group, the proportion of patients with diagnoses of schizophrenia, and/or schizophrenia with comorbid substance abuse and cognitive impairment, were higher compared to NVPs. VPs were more frequently admitted involuntarily, had a longer average length of stay and a greater number of previous hospitalizations. The logistic regression model performed on individual factors have shown a significant link between age (OR=0.99; CI: 0.97-1.00; P-value=0.024), living in sheltered housing before admission (OR=2.46; CI: 1.61-3.75; P-value<0.000), schizophrenic disorders (OR=2.18; CI: 1.35-3.57; P-value=0.001), schizophrenic disorders with substance abuse comorbidity (OR=2.00; CI: 1.16-3.37; P-value=0.016), cognitive impairment (OR=3.41; CI: 1,21-8.25; P-value=0.010), and VBs. The logistic regression model on institutional factors have shown a significant link between involuntary hospitalization (OR=4.38; CI: 3.20-6.08; P-value<0.000), length of previous stay (OR=1.01; CI: 1.00-1.01; P-value<0.000), number of previous hospitalizations (OR=1.06; CI: 1.00-1.12; P-value=0.031), and VBs. The logistic regression model on individual and institutional factors have shown a significant link between age (OR=0.99; CI: 0.97-1.00; P-value=0.008), living in sheltered housing before admission (OR=2.46: CI: 1.61-3.75; P-value=0.034), cognitive impairment (OR=3.41; CI: 1.21-8.25; P-value=0.074), involuntary hospitalization (OR=3.46; CI: 2.48-4.87; P-value<0.000), length of previous stay (OR=1.01; CI: 1.00-1.01; P-value<0.000), and VBs. The classification and regression trees have shown that the relationship between long length of stay and repeated hospitalizations mainly potentiate the risk of violence.

CONCLUSION

The results of this study have shown the existence of a small group of vulnerable patients who accumulate constrained hospital stays during which violence occurs. Exploring the clinical profiles and institutional pathways of patients could help to better identify these patients and promote a more appropriate mode of support, such as intensive clinical case management. This model could facilitate the development of a clinical network and the links between the structures and partners caring for a patient. This would create a continuous support, avoiding or limiting the lack of continuity of care and care disruption.

Factors associated with repetitive violent behavior of psychiatric inpatients

A small number of psychiatric inpatients displays a large proportion of Violent Behaviors (VB). These can have a major impact on both victims and patients themselves. This study explored personal, situational and institutional risk factors and their combined effects, which could lead to repetitive VB (three or more assaults). Data from 4518 patients, aged 18 to 65, admitted to an acute psychiatric care facility, were included in the analysis. VB, defined as physical aggressions against another person, were assessed by the Staff Observation Aggression Scale-Revised. 414 VB were reported during the study period, involving 199 patients. 0.75 % of all patients were repetitively violent and committed 43% of all VB. Factors that were linked to repetitive VB were living in sheltered housing before hospitalization, suffering from schizophrenia with substance abuse comorbidity, cumulating hospitalization days and some situational factors, like the fact of being in nursing offices and pharmacies. When all personal, situational and institutional factors were considered together, the combined effects of length of stay and living in sheltered housing increased the risk of repetitive VB. We have identified a small group of vulnerable patients for whom new modalities of inter-institutional networking should be developed to prevent repetitive VB.

Rate and predictors of disengagement in an early psychosis program with time limited intensification of treatment

BACKGROUND

Service disengagement is a frequent problem in early intervention in psychosis. The goal of this study was to evaluate the rate and variables associated with service disengagement in a three year specialized program that allows treatment intensification on a case to case basis.

METHODS

328 early psychosis patients were assessed at baseline on a large set of socio-demographic and clinical variables and were followed-up over 36 months. Patients who left the program for reasons related to engagement with care were compared to patients who completed the program.

RESULTS

Rates of disengagement were low (6.3%). Patients with lower socio-economic status, who committed offences during the program or with a diagnosis of Schizophreniform/brief psychotic disorder were more likely to disengage from the program.

CONCLUSIONS

The engagement strategies implemented in the context of our early intervention programs have allowed to keep disengagements to a relatively low level. In this context, only 3 variables emerged to guide adaptation of the intervention in order to improve this already good engagement rate.

Early onset of cannabis use and violent behavior in psychosis

BACKGROUND

Although evidence from psychosis patients demonstrates the adverse effects of cannabis use (CU) at a young age and that the rate of CU is high in subgroups of young violent patients with psychotic disorders, little is known about the possible effect of the age of onset of CU on later violent behaviors (VB). So, we aimed to explore the impact of age at onset of CU on the risk of displaying VB in a cohort of early psychosis patients.

METHOD

Data were collected prospectively over a 36-month period in the context of an early psychosis cohort study. A total of 265 patients, aged 18-35 years, were included in the study. Logistic regression was performed to assess the link between age of onset of substance use and VB.

RESULTS

Among the 265 patients, 72 had displayed VB and 193 had not. While violent patients began using cannabis on average at age 15.29 (0.45), nonviolent patients had started on average at age 16.97 (0.35) (p = 0.004). Early-onset CU (up to age 15) was a risk factor for VB (odds ratio = 4.47, confidence interval [CI]: 1.13-20.06) when the model was adjusted for age group, other types of substance use, being a user or a nonuser and various violence risk factors and covariates. History of violence and early CU (until 15) were the two main risk factors for VB.

CONCLUSIONS

Our results suggest that early-onset CU may play a role in the emergence of VB in early psychosis.

[Insight and Violent Behavior in a Cohort of Early Psychosis Patients]

OBJECTIVES:

An important proportion of patients with first episode psychosis behave in a violent, hetero-aggressive manner. This study aims to explore the association between insight and violent behavior (VB), and insight evolution in the follow-up period.

METHOD:

The study was carried out with a prospective cohort of 265 patients recruited from the early treatment and intervention for psychotic disorders program, and followed for a 3-year period. Insight assessing is based on a 3-item scale and the insight item in Positive and Negative Syndrome Scale (PANSS). VBs were evaluated by case managers, information from forensic services and through a record of VBs noted during hospitalization. Univariate and multivariate logistic regression analyses, t-tests and correlations were conducted.

RESULTS:

The significant effect of insight as a factor associated with VBs that was found in univariate analyses disappears after controlling for the effect of positive symptoms, substance addiction diagnosis, impulsivity and treatment compliance.

CONCLUSION:

If patient insight in their illness develops positively during treatment, our results suggest that the risk of VBs occurring is not influenced by insight level. On the other hand, it is significantly linked to substance abuse and impulsivity, which might implicate focusing on these 2 dimensions in preventive strategies. Insight impact on VB should be further explored in more focused prospective analyses.

Cannabis, a Significant Risk Factor for Violent Behavior in the Early Phase Psychosis. Two Patterns of Interaction of Factors Increase the Risk of Violent Behavior: Cannabis Use Disorder and Impulsivity; Cannabis Use Disorder, Lack of Insight and Treatment Adherence

Background: Previous literature suggests that prevalence of cannabis use in the early phase of psychosis is high, and that early psychosis patients are at high-risk for violent behavior. However, the link between cannabis use and violent behavior in early psychosis patients is unclear. We carried out a study on a sample of early psychosis patients, in order to explore the impact of cannabis use on the risk of violent behavior (VB), while taking into account (1) potential confounding factors and, (2) interactions with other dynamic risk factors of VB. Method: In a sample of 265 early psychosis patients, treated at the Treatment and Early Intervention in Psychosis Program (TIPP) in Lausanne, we used logistic regression models to explore the link between various dynamic risk factors of VB [positive symptoms, substance use disorder (drugs including cannabis, alcohol and others drugs), insight, impulsivity, affective instability, and treatment adherence], and VB occurring during treatment. In order to understand hierarchical effects attributable to the combinations of risk factors on VB we conducted a Classification and Regression Tree (CART). Results: Our results show that cannabis use disorder is a risk factor for VB. The associations among risk factors suggest the presence of two patient profiles with an increased rate of VB: the first is composed of patients with cannabis use disorder and impulsivity, and the second of patients combining cannabis use disorder, absence of insight and non-adherence to treatment. The results also show the moderating role of insight and adherence to treatment on the rate of VB in patients with cannabis use disorder. Conclusion: This study suggests that cannabis use disorder is a significant risk factor for VB amongst early psychosis patients, particularly when combined with either impulsivity, lack of insight and non-adherence to treatment. These results suggest that preventive strategies could be developed on the basis of such patient profiles.

Two-Year Clinical and Functional Outcomes of an Asian Cohort at Ultra-High Risk of Psychosis

Background: To determine the 2-year clinical and functional outcomes of an Asian cohort at ultra-high risk (UHR) of psychosis. Method: This was a longitudinal study with a follow-up period of 2 years on 255 help-seeking adolescents and young adults at UHR of psychosis managed by a multi-disciplinary mental health team in Singapore. Clients received case management, psychosocial, and pharmacological treatment as appropriate. Data comprising symptom and functional outcomes were collected over the observation period by trained clinicians and psychiatrists. Results: The 2-year psychosis transition rate was 16.9%, with a median time to transition of 168 days. After 2 years, 14.5% of the subjects had persistent at-risk symptoms while 7.5% developed other non-psychotic psychiatric disorders. 38.4% of the cohort had recovered and was discharged from mental health services. The entire cohort's functioning improved as reflected by an increase in the score of the Social and Occupational Functioning Assessment Scale during the follow-up period. Predictors to psychosis transition included low education level, baseline unemployment, a history of violence, and brief limited intermittent psychotic symptoms, while male gender predicted the persistence of UHR state, or the development of non-psychotic disorders. Conclusion: Use of the current UHR criteria allows us to identify individuals who are at imminent risk of developing not just psychosis, but also those who may develop other mental health disorders. Future research should include identifying the needs of those who do not transition to psychosis, while continuing to refine on ways to improve the UHR prediction algorithm for psychosis.