Predictors of antipsychotic treatment response in patients with first-episode schizophrenia, schizoaffective and schizophreniform disorders

Predicting maintenance lithium response for bipolar disorder from electronic health records-a retrospective study

Background

Optimising maintenance drug treatment selection for people with bipolar disorder is challenging. There is some evidence that clinical and demographic features may predict response to lithium. However, attempts to personalise treatment choice have been limited.

Method

We aimed to determine if machine learning methods applied to electronic health records could predict differential response to lithium or olanzapine. From electronic United Kingdom primary care records, we extracted a cohort of individuals prescribed either lithium (19,106 individuals) or olanzapine (12,412) monotherapy. Machine learning models were used to predict successful monotherapy maintenance treatment, using 113 clinical and demographic variables, 8,017 (41.96%) lithium responders and 3,831 (30.87%) olanzapine responders.

Results

We found a quantitative structural difference in that lithium maintenance responders were weakly predictable in our holdout sample, consisting of the 5% of patients with the most recent exposure. Age at first diagnosis, age at first treatment and the time between these were the most important variables in all models.

Discussion

Even if we failed to predict successful monotherapy olanzapine treatment, and so to definitively separate lithium vs. olanzapine responders, the characterization of the two groups may be used for classification by proxy. This can, in turn, be useful for establishing maintenance therapy. The further exploration of machine learning methods on EHR data for drug treatment selection could in the future play a role for clinical decision support. Signals in the data encourage further experiments with larger datasets to definitively separate lithium vs. olanzapine responders.

Elevated extracellular free water in the brain predicts clinical improvement in first-episode psychosis

BACKGROUND

Despite the diverse nature of clinical trajectories after a first-episode of psychosis, few baseline characteristics have been predictive of clinical improvement, and the neurobiological underpinnings of this heterogeneity remain largely unknown. Elevated extracellular free water (FW) in the brain is a diffusion imaging measure that has been consistently reported in different phases of psychosis that may indicate a neuroinflammatory state. Its predictive capacity in terms of clinical outcomes, however, is unknown.

METHODS

We used diffusion imaging to determine FW and tissue-specific fractional anisotropy (FA-t) in first-episode psychosis. Forty-seven participants were categorized as clinical "Improvers" (n=26) if they achieved a 20% decrease in total Brief Psychiatric Rating Scale (BPRS) score at 12 months. To determine the predictive capacity of FW and FA-t, these measures were introduced in a stepwise logistic regression model to predict clinical improvement. For those measures surviving the model, regional between-group differences were also investigated in cortical surface or white matter tracts as applicable.

RESULTS

Higher gray matter (GM) FW (OR-CI 1.134 - 2.543) and FA-t (OR-CI: 0.905 - 2.038) both predicted Improver status. FW in GM also linearly correlated with BPRS total score at 12 months follow-up. Examining regional specificity, Improvers showed greater FW predominantly in temporal regions and higher FA-t values in several white matter tracts, including bilateral longitudinal superior fasciculus.

CONCLUSIONS

Our results show that elevated FW in GM and FA-t predict further clinical improvement during the initial phases of psychosis. The potential roles of brain inflammatory processes in predicting clinical improvement are discussed.

Development and initial evaluation of a clinical prediction model for risk of treatment resistance in first-episode psychosis: Schizophrenia Prediction of Resistance to Treatment (SPIRIT)

BACKGROUND

A clinical tool to estimate the risk of treatment-resistant schizophrenia (TRS) in people with first-episode psychosis (FEP) would inform early detection of TRS and overcome the delay of up to 5 years in starting TRS medication.

AIMS

To develop and evaluate a model that could predict the risk of TRS in routine clinical practice.

METHOD

We used data from two UK-based FEP cohorts (GAP and AESOP-10) to develop and internally validate a prognostic model that supports identification of patients at high-risk of TRS soon after FEP diagnosis. Using sociodemographic and clinical predictors, a model for predicting risk of TRS was developed based on penalised logistic regression, with missing data handled using multiple imputation. Internal validation was undertaken via bootstrapping, obtaining optimism-adjusted estimates of the model's performance. Interviews and focus groups with clinicians were conducted to establish clinically relevant risk thresholds and understand the acceptability and perceived utility of the model.

RESULTS

We included seven factors in the prediction model that are predominantly assessed in clinical practice in patients with FEP. The model predicted treatment resistance among the 1081 patients with reasonable accuracy; the model's C-statistic was 0.727 (95% CI 0.723-0.732) prior to shrinkage and 0.687 after adjustment for optimism. Calibration was good (expected/observed ratio: 0.999; calibration-in-the-large: 0.000584) after adjustment for optimism.

CONCLUSIONS

We developed and internally validated a prediction model with reasonably good predictive metrics. Clinicians, patients and carers were involved in the development process. External validation of the tool is needed followed by co-design methodology to support implementation in early intervention services.

Identifying Individuals With Early Psychosis in Jail: Lessons Learned for Coordinated Specialty Care Services

OBJECTIVE

This study sought to establish the feasibility of a two-component intervention embedded within a jail setting that would detect detainees with early psychosis and connect them to coordinated specialty care (CSC) in the community upon release.

METHODS

The two components of the intervention were a targeted educational campaign for correction officers and a specialized early engagement support service to facilitate jail discharge planning. Jail detainees with early psychosis were referred to the project and assessed for positive and negative symptoms, substance use, and duration of untreated psychosis (DUP). During a 24-month period, 25 individuals were referred, of whom eight were eligible and interviewed.

RESULTS

The sociodemographic and clinical characteristics of the jail detainees were similar to those of individuals in hospital settings. The median DUP was 36 weeks. One of the eight detainees with early psychosis was successfully referred to CSC; for the other detainees, social or criminal legal factors precluded referral.

CONCLUSIONS

A targeted educational campaign for correction officers and a specialized early engagement support service can be implemented in a jail setting, and referrals can be facilitated. Success of the campaign may depend on having dedicated liaisons within the jail setting (e.g., among correctional health staff) as well as liaisons in local CSC programs and leadership. Changes in the law and policy environments (e.g., criminal legal system reform) and changes in organizational practices and processes for corrections, correctional health, and local CSC programs (such as those made during the COVID-19 pandemic) require ongoing collaborations.

Clinical and neuroimaging predictors of benzodiazepine response in catatonia: A machine learning approach

Catatonia is a well characterized psychomotor syndrome combining motor, behavioural and neurovegetative signs. Benzodiazepines are the first-choice treatment, effective in 70 % of cases. Currently, the factors associated with benzodiazepine resistance remain unknown. We aimed to develop machine learning models using clinical and neuroimaging data to predict benzodiazepine response in catatonic patients. This study examined a cohort of catatonic patients who underwent standardized clinical evaluation, 3 T brain MRI, and benzodiazepine trial. Based on clinical response, patients were classified as benzodiazepine responders or non-responders. Cortical thickness and regional brain volumes were measured. Two machine learning models (linear model and gradient boosting tree model) were developed to identify predictors of treatment response using clinical, demographic, and neuroimaging data. The cohort included 65 catatonic patients, comprising 30 benzodiazepine responders and 35 non-responders. Using clinical data alone, the linear model achieved 63% precision, 51% recall, a specificity of 61%, and 58% AUC, while the gradient boosting tree (GBT) model attained 46% precision, 60% recall, a specificity of 62% and 64% AUC. Incorporating neuroimaging data improved model performance, with the linear model achieving 66% precision, 57% recall, a specificity of 67%, and 70% AUC, and the GBT model attaining 50% precision, 50% recall, a specificity of 62% and 70% AUC. The integration of imaging data with demographic and clinical information significantly enhanced the predictive performance of the models. The duration of the catatonic syndrome, along with the presence of mitgehen (passive obedience) and immobility/stupor, and the volume of the right medial orbito-frontal cortex emerged as important factors in predicting non-response to benzodiazepines.

Identification of Psychosis Risk and Diagnosis of First-Episode Psychosis: Advice for Clinicians

Early detection of psychotic-spectrum disorders among adolescents and young adults is crucial, as the initial years after psychotic symptom onset encompass a critical period in which psychosocial and pharmacological interventions are most effective. Moreover, clinicians and researchers in recent decades have thoroughly characterized psychosis-risk syndromes, in which youth are experiencing early warning signs indicative of heightened risk for developing a psychotic disorder. These insights have created opportunities for intervention even earlier in the illness course, ideally culminating in the prevention or mitigation of psychosis onset. However, identification and diagnosis of early signs of psychosis can be complex, as clinical presentations are heterogeneous, and psychotic symptoms exist on a continuum. When a young person presents to a clinic, it may be unclear whether they are experiencing common, mild psychotic-like symptoms, early warning signs of psychosis, overt psychotic symptoms, or symptoms better accounted for by a non-psychotic disorder. Therefore, the purpose of this review is to provide a framework for clinicians, including those who treat non-psychotic disorders and those in primary care settings, for guiding identification and diagnosis of early psychosis within the presenting clinic or via referral to a specialty clinic. We first provide descriptions and examples of first-episode psychosis (FEP) and psychosis-risk syndromes, as well as assessment tools used to diagnose these conditions. Next, we provide guidance as to the differential diagnosis of conditions which have phenotypic overlap with psychotic disorders, while considering the possibility of co-occurring symptoms in which case transdiagnostic treatments are encouraged. Finally, we conclude with an overview of early detection screening and outreach campaigns, which should be further optimized to reduce the duration of untreated psychosis among youth.

Spurious Autobiographical Memory of Psychosis: A Mechanistic Hypothesis for the Resolution, Persistence, and Recurrence of Positive Symptoms in Psychotic Disorders

Psychotic disorders are complex disorders with multiple etiologies. While increased dopamine synthesis capacity has been proposed to underlie psychotic episodes, dopamine-independent processes are also involved (less responsive to dopamine receptor-blocking medications). The underlying mechanism(s) of the reduction in antipsychotic responsiveness over time, especially after repeated relapses, remain unclear. Despite the consistent evidence of dopamine overactivity and hippocampal volume loss in schizophrenia, few accounts have been provided based on the interactive effect of dopamine on hippocampal synapse plasticity mediating autobiographical memory processes. The present hypothesis builds upon previous works showing the potential effects of dopamine overactivity on hippocampal-mediated neuroplasticity underlying autobiographical memory, alongside known patterns of autobiographical memory dysfunction in psychosis. We propose that spurious autobiographical memory of psychosis (SAMP) produced during active psychosis may be a key mechanism mediating relapses and treatment non-responsiveness. In a hyperdopaminergic state, SAMP is expected to be generated at an increased rate during active psychosis. Similar to other memories, it will undergo assimilation, accommodation, and extinction processes. However, if SAMP fails to integrate with existing memory, a discontinuity in autobiographical memory may result. Inadequate exposure to normalizing experiences and hyposalience due to overmedication or negative symptoms may also impede the resolution of SAMP. Residual SAMP is hypothesized to increase the propensity for relapse and treatment non-responsiveness. Based on recent findings on the role of dopamine in facilitating hippocampal synapse plasticity and autobiographical memory formation, the SAMP hypothesis is consistent with clinical observations of DUP effects, including the repetition of contents in psychotic relapses as well as the emergence of treatment non-responsiveness after repeated relapses. Clinical implications of the hypothesis highlight the importance of minimizing active psychosis, integrating psychosis memory, avoiding over-medication, and fostering normalizing experiences.

Predicting psychotic relapse following randomised discontinuation of paliperidone in individuals with schizophrenia or schizoaffective disorder: an individual participant data analysis

BACKGROUND

Predicting relapse for individuals with psychotic disorders is not well established, especially after discontinuation of antipsychotic treatment. We aimed to identify general prognostic factors of relapse for all participants (irrespective of treatment continuation or discontinuation) and specific predictors of relapse for treatment discontinuation, using machine learning.

METHODS

For this individual participant data analysis, we searched the Yale University Open Data Access Project's database for placebo-controlled, randomised antipsychotic discontinuation trials with participants with schizophrenia or schizoaffective disorder (aged ≥18 years). We included studies in which participants were treated with any antipsychotic study drug and randomly assigned to continue the same antipsychotic drug or to discontinue it and receive placebo. We assessed 36 prespecified baseline variables at randomisation to predict time to relapse, using univariate and multivariate proportional hazard regression models (including multivariate treatment group by variable interactions) with machine learning to categorise the variables as general prognostic factors of relapse, specific predictors of relapse, or both.

FINDINGS

We identified 414 trials, of which five trials with 700 participants (304 [43%] women and 396 [57%] men) were eligible for the continuation group and 692 participants (292 [42%] women and 400 [58%] men) were eligible for the discontinuation group (median age 37 [IQR 28-47] years for continuation group and 38 [28-47] years for discontinuation group). Out of the 36 baseline variables, general prognostic factors of increased risk of relapse for all participants were drug-positive urine; paranoid, disorganised, and undifferentiated types of schizophrenia (lower risk for schizoaffective disorder); psychiatric and neurological adverse events; higher severity of akathisia (ie, difficulty or inability to sit still); antipsychotic discontinuation; lower social performance; younger age; lower glomerular filtration rate; benzodiazepine comedication (lower risk for anti-epileptic comedication). Out of the 36 baseline variables, predictors of increased risk specifically after antipsychotic discontinuation were increased prolactin concentration, higher number of hospitalisations, and smoking. Both prognostic factors and predictors with increased risk after discontinuation were oral antipsychotic treatment (lower risk for long-acting injectables), higher last dosage of the antipsychotic study drug, shorter duration of antipsychotic treatment, and higher score on the Clinical Global Impression (CGI) severity scale The predictive performance (concordance index) for participants who were not used to train the model was 0·707 (chance level is 0·5).

INTERPRETATION

Routinely available general prognostic factors of psychotic relapse and predictors specific for treatment discontinuation could be used to support personalised treatment. Abrupt discontinuation of higher dosages of oral antipsychotics, especially for individuals with recurring hospitalisations, higher scores on the CGI severity scale, and increased prolactin concentrations, should be avoided to reduce the risk of relapse.

FUNDING

German Research Foundation and Berlin Institute of Health.

Achieving long-term goals through early personalized management of schizophrenia: expert opinion on the role of a new fast-onset long-acting injectable antipsychotic

Definition of an appropriate and personalized treatment plan focused on long-term outcomes is crucial in the management of schizophrenia. Following review of the literature, a panel of six leading psychiatrists discussed the importance of clear and shared long-term goals when initiating antipsychotic treatment in light of their clinical experience. The importance of establishing shared and progressive treatment objectives was stressed, which should be tailored based on the patient's characteristics, goals, and preferences. Consensus emerged on the key role that therapeutic alliance and patient empowerment play throughout the course of treatment. Reduction in symptoms in the acute phase along with good efficacy and tolerability in the maintenance phase emerged as essential features of a therapy that can favor achievement of long-term outcomes. Long-acting injectable (LAI) antipsychotics enhance adherence to treatment compared to oral formulations and have been shown to be effective in the maintenance phase. Currently available LAIs are characterized by a delayed onset of action and require a loading dose or oral supplementation to achieve therapeutic concentrations. Risperidone ISM® is a novel LAI antipsychotic with fast and sustained release of antipsychotic, reaching therapeutic plasma levels within a few hours after administration without oral supplementation or loading doses. Risperidone ISM® has been shown to rapidly control symptoms in patients with an acute exacerbation of schizophrenia and to be effective and well tolerated as maintenance treatment irrespective of the severity of initial symptoms. It thus represents a valuable and novel therapeutic option in management of schizophrenia.

Study protocol for the development and internal validation of Schizophrenia Prediction of Resistance to Treatment (SPIRIT): a clinical tool for predicting risk of treatment resistance to antipsychotics in first-episode schizophrenia

INTRODUCTION

Treatment-resistant schizophrenia (TRS) is associated with significant impairment of functioning and high treatment costs. Identification of patients at high risk of TRS at the time of their initial diagnosis may significantly improve clinical outcomes and minimise social and functional disability. We aim to develop a prognostic model for predicting the risk of developing TRS in patients with first-episode schizophrenia and to examine its potential utility and acceptability as a clinical decision tool.

METHODS AND ANALYSIS

We will use two well-characterised longitudinal UK-based first-episode psychosis cohorts: Aetiology and Ethnicity in Schizophrenia and Other Psychoses and Genetics and Psychosis for which data have been collected on sociodemographic and clinical characteristics. We will identify candidate predictors for the model based on current literature and stakeholder consultation. Model development will use all data, with the number of candidate predictors restricted according to available sample size and event rate. A model for predicting risk of TRS will be developed based on penalised regression, with missing data handled using multiple imputation. Internal validation will be undertaken via bootstrapping, obtaining optimism-adjusted estimates of the model's performance. The clinical utility of the model in terms of clinically relevant risk thresholds will be evaluated using net benefit and decision curves (comparative to competing strategies). Consultation with patients and clinical stakeholders will determine potential thresholds of risk for treatment decision-making. The acceptability of embedding the model as a clinical tool will be explored using qualitative focus groups with up to 20 clinicians in total from early intervention services. Clinicians will be recruited from services in Stafford and London with the focus groups being held via an online platform.

ETHICS AND DISSEMINATION

The development of the prognostic model will be based on anonymised data from existing cohorts, for which ethical approval is in place. Ethical approval has been obtained from Keele University for the qualitative focus groups within early intervention in psychosis services (ref: MH-210174). Suitable processes are in place to obtain informed consent for National Health Service staff taking part in interviews or focus groups. A study information sheet with cover letter and consent form have been prepared and approved by the local Research Ethics Committee. Findings will be shared through peer-reviewed publications, conference presentations and social media. A lay summary will be published on collaborator websites.

Duration of Untreated Disorder and Cannabis Use: An Observational Study on a Cohort of Young Italian Patients Experiencing Psychotic Experiences and Dissociative Symptoms

BACKGROUND

The Duration of Untreated Psychosis (DUP) is the time between the first-episode psychosis (FEP) and the initiation of antipsychotic treatment. It is an important predictor of several disease-related outcomes in psychotic disorders. The aim of this manuscript is investigating the influence of cannabis on the DUP and its clinical correlates.

METHODS

During years 2014-2019, sixty-two FEP patients with and without cannabis use disorder (CUD) were recruited from several Italian psychiatric hospitals. The subjects were then divided into two groups based on the duration of the DUP and assessed at the beginning of the antipsychotic treatment and after 3 and 6 months, using the Positive and Negative Syndrome Scale (PANSS), the Global Assessment of Functioning (GAF) scale, and the Dissociative Experiences Scale (DES-II).

RESULTS

As expected, a longer DUP was associated with worse symptoms and cannabis use did not seem to affect the DUP, but both were related with more dissociative symptoms at onset and over time.

DISCUSSION

According to our study, cannabis use can be a predictor of FEP and DUP, and of disease outcome. However, several factors might influence the relationship between cannabis use and DUP. Preventing cannabis use and early diagnosis of psychotic disorders might impact the disease by reducing the persistence of symptoms and limiting dissociative experiences.

Duration Mismatch Negativity Predicts Remission in First-Episode Schizophrenia Patients

Objective: Remission in schizophrenia patients is associated with neurocognitive, social, and role functioning during both the early and chronic stages of schizophrenia. It is well-established that the amplitudes of duration mismatch negativity (dMMN) and frequency MMN (fMMN) are reduced in schizophrenia patients. However, the potential link between MMN and remission has not been established. In this study, we investigated the relationship between MMNs and remission in first-episode schizophrenia (FES) and their association with neurocognitive and social functioning. Method: dMMN and fMMN were measured in 30 patients with FES and 22 healthy controls at baseline and after a mean of 3 years. Clinical symptoms and cognitive and social functioning in the patients were assessed at the time of MMN measurements by using the Positive and Negative Syndrome Scale (PANSS), modified Global Assessment of Functioning (mGAF), Schizophrenia Cognition Rating Scale (SCoRS), and the Brief Assessment of Cognition in Schizophrenia (BACS). Remission of the patients was defined using the criteria by the Remission in Schizophrenia Working Group; of the 30 patients with FES, 14 achieved remission and 16 did not. Results: Baseline dMMN amplitude was reduced in FES compared to healthy controls. Further, baseline dMMN in the non-remitters had decreased amplitude and prolonged latency compared to the remitters. MMN did not change during follow-up period regardless of parameters, diagnosis, or remission status. Baseline dMMN amplitude in FES was correlated with future SCoRS and PANSS total scores. Logistic regression analysis revealed that dMMN amplitude at baseline was a significant predictor of remission. Conclusions: Our findings suggest that dMMN amplitude may be a useful biomarker for predicting symptomatic remission and improvement of cognitive and social functions in FES.

Guidelines for determining restorability of competency to stand trial and recommendations for involuntary treatment

Over 50,000 defendants are referred for competency to stand trial evaluations each year in the United States (Psychological evaluations for the courts: A handbook for mental health professionals and lawyers, New York, NY: The Guildford Press; 2018). Approximately 20% of those individuals are found by courts to be incompetent and are referred for "restoration" or remediation (Psychological evaluations for the courts: A handbook for mental health professionals and lawyers, 4th edn. New York, NY: The Guildford Press; 2018; Bull Am Acad Psychiatry Law. 1991;19:63-9). The majority of those incompetent defendants meet criteria for psychotic illnesses (J Am Acad Psychiatry Law. 2007;35:34-43). Forensic mental health professionals frequently have such patients/defendants decline recommended treatment with psychotropic medication. For a significant minority of defendants diagnosed with psychotic disorders, treatment with medication is thought to be necessary to restore their competency to stand trial. Without psychiatric intervention to restore competency, defendants may be held for lengthy and costly hospitalizations while criminal proceedings are suspended. In these situations, clinicians are guided by the Supreme Court decision, Sell v. United States (2003). The Sell opinion describes several clinical issues courts must consider when determining whether a defendant can be treated involuntarily solely for the purpose of restoring his/her competency. This paper offers some guidance to clinicians and evaluators who are faced with making recommendations or decisions about involuntary treatment. Using a question and answer format, the authors discuss data that support a decision to request, or not request, court authorization for involuntary treatment. Specifically, eight questions are posed for forensic evaluators to consider in determining the prognosis or viability of successful treatment and restoration. Finally, a clinical vignette is also presented to highlight important factors to consider in Sell-related evaluations.

Effects of aripiprazole long-acting injectable antipsychotic on hospitalization in recent-onset schizophrenia

OBJECTIVE

Recent-onset schizophrenia (ROS) represents a critical period that can greatly influence the clinical course of schizophrenia. The use of long-acting injectable antipsychotics (LAIs) in this period is increasingly being considered as a first-line treatment option. Aripiprazole LAI (ALAI) is the newest of all LAI's available on the market, with limited data on its effects on hospitalization rates after first episode of schizophrenia. It was our goal to evaluate whether ALAI has an effect on hospitalization rates, number of bed days and clinical improvement in patients with ROS.

METHODS

This mirror-image study included 138 inpatients suffering from schizophrenia. We collected sociodemographic data on all individuals, number of hospitalization days, hospitalization rates as well as Clinical Global Impression Scale-severity of illness (CGI-S) and Clinician-Rated Dimensions of Psychosis Symptom Severity (CRDPSS) scores at the initiation of ALAI and at the end of a 1 year follow up.

RESULTS

Mean number of hospitalizations and hospitalization days in the year after starting ALAI significantly decreased compared to the year before (p = 0.005 and p < 0.001). Mean scores on both CGI and CRDPSS also significantly decreased after initiating ALAI (p < 0.001).

CONCLUSION

Results suggest that ALAI is an important therapeutic option in patients with ROS. It leads to reduced usage of hospital services, potentially reducing the socio-economic healthcare burden.

Clozapine tolerability in Treatment Resistant Schizophrenia: exploring the role of sex

Clozapine is the only evidence-based drug indicated for Treatment Resistant Schizophrenia but it is largely underprescribed, partially due to its life-threatening adverse effects (AEs). However, clozapine treatment is burdened by other common AEs as constipation, hypersalivation, postural hypotension, tachycardia and metabolic abnormalities. Few studies have investigated sex-related differences in clozapine's tolerability, reporting women to experience more frequently weight gain, hyperglycemia and constipation, while men hypertension and dyslipidemia. Based on these premises, we investigated clinical, psychopathological and metabolic sex-related differences among 147 treatment-resistant patients treated with clozapine, with a specific focus on non-life-threatening AEs. We observed significant higher prevalence of tachycardia in men, and of orthostatic hypotension and constipation in women. Concerning metabolic alterations, we observed significant lower levels of HDL-cholesterol and higher prevalence of hypertriglyceridemia among men, whereas females showed higher prevalence of abdominal obesity. Consistently with previous studies, our data confirm the presence of sex-related differences in clozapine tolerability, with a main effect of sex especially for tachycardia, postural hypotension and constipation. Although non-life-threatening, these common AEs significantly affect patients' quality of life, undermine compliance and cause treatment discontinuation. A better understanding of this topic could contribute to tailor therapeutic approaches, thus improving tolerability, compliance and clinical stability.

Glutamatergic neurometabolites and cortical thickness in treatment-resistant schizophrenia: Implications for glutamate-mediated excitotoxicity

Treatment-resistant schizophrenia may be related to structural brain alterations. However, the mechanisms underlying these changes remain unclear. The present study had two main aims: (1) to explore differences in cortical thickness between patients with treatment-resistant schizophrenia non-responsive to clozapine (ultra-treatment-resistant schizophrenia, UTRS), patients with treatment-resistant schizophrenia responsive to clozapine (Cloz-Resp), patients responsive to first-line non-clozapine antipsychotics (FL-Resp), and healthy controls (HCs); and (2) to test our hypothesis of structural compromise as a manifestation of neurotoxic effects from elevated glutamate (Glu) (i.e. glutamate-mediated excitotoxicity) by examining the relationships between glutamatergic neurometabolite levels (Glu and glutamate + glutamine (Glx)) in the dorsal anterior cingulate cortex (dACC) and cortical thickness. T1-weighted images and ¹H-MRS data were obtained from UTRS (n = 24), Cloz-Resp (n = 25), FL-Resp (n = 19), and HCs (n = 26). Vertex-wise analyses showed that patients with UTRS had widespread cortical thinning in the bilateral frontal, temporal, parietal, and occipital gyri compared to HCs and FL-Resp patients. In the patient group, negative associations were found between dACC Glx levels and cortical thickness in the right dorsolateral prefrontal cortex after correcting for multiple comparisons and controlling for age, sex, antipsychotic dose, and illness severity. In conclusion, glutamate-mediated excitotoxicity may be one of the mechanisms underlying structural compromise seen in treatment-resistant schizophrenia. Future studies should longitudinally examine the associations between glutamatergic neurometabolite levels and cortical thickness in the context of treatment and illness progression.

Individualizing antipsychotic treatment selection in schizophrenia: characteristics of empirically derived patient subgroups

Treatment of schizophrenia with antipsychotic drugs is frequently sub-optimal. One reason for this may be heterogeneity between patients with schizophrenia. The objectives of this study were to identify patient, disease and treatment attributes that are important for physicians in choosing an antipsychotic drug, and to identify empirically subgroups of patients who may respond differentially to antipsychotic drugs. The survey was conducted by structured interview of 744 randomly-selected psychiatrists in four European countries who recruited 3996 patients with schizophrenia. Information on 39 variables was collected. Multiple component analysis was used to identify dimensions that explained the variance between patients. Three axes, accounting for 99% of the variance, were associated with disease severity (64%), socioeconomic status (27%) and patient autonomy (8%). These dimensions discriminated between six discrete patient subgroups, identified using ascending hierarchical classification analysis. The six subgroups differed regarding educational level, illness severity, autonomy, symptom presentation, addictive behaviors, comorbidities and cardiometabolic risk factors. Subgroup 1 patients had moderately severe physician-rated disease and addictive behaviours (23.2%); Subgroup 2 patients were well-integrated and autonomous with mild to moderate disease (6.7%); Subgroup 3 patients were less well-integrated with mild to moderate disease, living alone (11.2%); Subgroup 4 patients were women with low education levels (5.4%), Subgroup 5 patients were young men with severe disease (36.8%); and Subgroup 6 patients were poorly-integrated with moderately severe disease, needing caregiver support (16.7%). The presence of these subgroups, which require confirmation and extension regarding potentially identifiable biological markers, may help individualizing treatment in patients with schizophrenia.

Defining Treatment Response, Remission, Relapse, and Recovery in First-Episode Psychosis: A Survey among Korean Experts

OBJECTIVE

For the proper treatment of first-episode psychosis, assessment of treatment response, remission, relapse, and recovery is important. Therefore, the present study aimed to develop operational definitions of clinical outcomes in first-episode psychosis.

METHODS

A questionnaire was developed by a panel of experts and underwent three revisions. The final survey was presented to 150 psychiatrists who were members of the Korean Society for Schizophrenia Research. Respondents selected factors that they believed were important to consider while defining treatment response, remission, relapse, and recovery using a 6-point Likert scale. Selected factors that constituted each definition were statistically extracted, and operational definitions were developed.

RESULTS

A total of 91 experts responded to the survey. The extent of reduction in psychopathology, socio-occupational functioning, and duration of each state were the core factors of each definition. Outcomes obtained from discussions and consultations by experts have been summarized and proposed.

CONCLUSION

The criteria developed in this survey tended to be somewhat stricter than those used by other studies. The fundamental reason for this is that this survey focused on first-episode psychosis. A better understanding of each definition in first-episode psychosis is necessary to improve effective treatment outcomes.

Clinical and Genetic Factors Associated with Resistance to Treatment in Patients with Schizophrenia: A Case-Control Study

Objectives: To assess clinical and genetic factors affecting response to treatment in a sample of patients with schizophrenia (treatment-resistant patients versus treatment responders). We also aimed at examining if these factors are different when we consider two different resistance classifications (the positive and negative syndrome scale, PANSS and the brief psychiatric rating scale, BPRS). Material and Methods: A case-control study included treatment-resistant patients and good responders. Patients were stratified in two groups based on the established criteria for treatment-resistant schizophrenia using BPRS and PANSS. The study was approved by the ethical committees (references: CEHDF1017; HPC-017-2017) and all patients/legal representatives gave their written consent. Clinical factors were assessed. DNA was obtained using a buccal swab and genotyping for OPRM1, COMT, DRD2 et MTHFR genes using the Lightcycler^® (Roche). Results: Some discrepancies between the BPRS and PANSS definitions were noted in our study when assessing the patients’ psychopathological symptoms and response to treatment. The multivariable analysis, taking the presence versus absence of treatment resistance as the dependent variable, showed that that family history of schizophrenia, university studies, time since the beginning of treatment and chlorpromazine equivalent dose as well as the COMT gene are associated with resistance to treatment. In addition, a gender-related difference was noted for COMT SNP; men with at least one Met allele were more prone to be resistant to treatment than Val/Val patients. Conclusion: Uncovering the clinical and genetic factors associated with resistance to treatment could help us better treat our schizophrenic patients in a concept of personalized medicine.

Testing the Effectiveness of Implementing a Model of Mental Healthcare Involving Trained Lay Health Workers in Treating Major Mental Disorders Among Youth in a Conflict-Ridden, Low-Middle Income Environment: Part II Results

OBJECTIVES

To report the outcomes of young people (aged 14-30 years) treated for major mental disorders in a lay health worker (LHW) intervention model in a rural district of conflict-ridden Kashmir, India.

METHODS

Over a 12-month follow-up, LHWs collected data on symptoms, functioning, quality of life and disability, and patients' and families' service engagement and satisfaction.

RESULTS

Forty trained LHWs (18 males and 22 females) identified 262 individuals who met the criteria for a diagnosis of a major mental disorder, connected them with specialists for treatment initiation (within 14 days), and provided follow-up and support to patients and families. Significantly more patients (14-30 years) were identified during the 14 months of the project than those in all age groups in the preceding 2 years. At 12 months, 205 patients (78%) remained engaged with the service and perceived it as very helpful. Repeated measures ANOVA showed significant improvements in scores on the global assessment of functioning (GAF) scale (F[df, 3.449] = 104.729, p < 0.001) and all 4 domains of the World Health Organization quality of life (WHOQOL) brief version (WHOQOL-BREF) of the survey-Physical F(df, 1.861) = 40.82; Psychological F(df, 1.845) = 55.490; Social F(df, 1.583) = 25.189; Environment F(df, 1.791) = 40.902, all ps < 0.001-and a decrease in disability (F[df, 1.806] = 4.364, p = 0.016). An interaction effect between time and sex was observed for the physical health domain of the WHOQOL-BREF.

DISCUSSION AND CONCLUSIONS

Our results show that an LHW-based service model, implemented in a rural setting of a low-to-middle income region plagued by long-term conflict, benefits young people with major mental disorders. We discuss the implications of our findings in the context of similar environments and the challenges encountered.

Long-acting injectable second-generation antipsychotics in first-episode psychosis: a narrative review

Long-acting injectable (LAI) antipsychotics could be a favorable option of treatment and have some advantages over oral medications. The aim of this study was to review the published data on the use of LAI formulation of second-generation antipsychotics (SGA) in first-episode psychosis (FEP). Using PubMed and Scopus databases, we performed a systematic literature search of articles published between 1 January 2000 and 30 April 2018, that reported clinical trials on the use of LAI SGAs in patients with FEP. Seventy-seven articles were considered eligible and full-text revised. Five studies fulfilled the inclusion criteria and evaluated the effect of LAI risperidone in FEP patients. Treatment with LAI SGAs was well accepted, and the majority of FEP patients agreed to change from an oral to an injectable formulation. At the 12-month follow-up, between 68 and 95% of FEP patients treated with LAI risperidone showed a good clinical response and 64% achieved remission of symptoms for at least 24 months of follow-up. Treatment with LAI SGAs can offer significant advantages over oral antipsychotics to FEP patients, especially to improve the adherence to medication and prevent the worsening of symptoms, the relapse, and rehospitalization associated with the discontinuation of treatment.

Targeting relapse prevention and positive symptom in first-episode schizophrenia using brief cognitive behavioral therapy: A pilot randomized controlled study

The present study aimed to provide preliminary evaluation of the effectiveness of a brief CBT intervention focusing on relapse prevention and positive symptom in a Chinese first episode schizophrenia (FES) population. This randomized controlled trial recruited eighty outpatients with FES (as determined using the DSM-IV), aged 16-45 years, and on a current atypical antipsychotic. Patients were randomized to either 10 sessions of individual CBT (intervention group) adjunctive to treatment as usual (TAU) or TAU alone (control group). Outcome assessment of symptoms, relapse, hospitalization, insight and social functioning were administered at baseline and then post treatment (10 weeks), and at 6-month and 12-month follow ups. At 12 months, patients in the intervention group had significantly greater improvements in positive symptoms, general psychopathology and social functioning, as well as significantly lower rates of relapse, compared to the control group. Although patients in both groups demonstrated significantly improved negative symptom and insight scores from baseline, no group differences were found. This RCT demonstrates that FES patient can greatly benefit from CBT designed to target relapse prevention and positive symptom, with improvements sustained for 1 year following treatment.

Real-world effectiveness of antipsychotic monotherapy and polytherapy in 1543 patients with acute-phase schizophrenia

PURPOSE

The effectiveness of antipsychotic treatments in the acute phase of schizophrenia in actual clinical practice remains somewhat unclear. Therefore, the purpose of the present naturalistic, multi-center study conducted from 1 year starting in September 2017 was to examine the response rate to an initial or second antipsychotic in newly admitted patients with acute-phase schizophrenia, as well as the response rate and quality of augmentation with two antipsychotics in patients who failed to respond to both the initial and second antipsychotics.

RESULTS

In total, there were 660 (42.8%) and 243 (15.7%) responders to an initial and a second antipsychotic, respectively; thus, 58.5% of all patients were responders to an initial or second antipsychotic. Among 581 nonresponders (37.7%), the initial antipsychotic or a third antipsychotic was added to the second antipsychotic. Among these patients, 89.8% showed a Clinical Global Impression-Improvement score ≤3 (from 'minimally improved' to 'very much improved'). The rates of adverse events such as hyperglycemia, hyper-low-density lipoprotein cholesterolemia, hypertriglyceridemia, hyperprolactinemia, QTc prolongation, and extrapyramidal symptoms were not high in patients receiving augmentation with two antipsychotics compared with all patients, and no serious adverse events were reported.

CONCLUSION

Antipsychotic augmentation may be an option in acute-phase treatment for patients who do not respond to either an initial or a second antipsychotic.

Association Between Duration of Untreated Psychosis and Frontostriatal Connectivity During Maintenance of Visuospatial Working Memory

BACKGROUND

A longer duration of untreated psychosis (DUP) has been linked with poor clinical outcomes and variation in resting-state striatal connectivity with central executive regions. However, the link between DUP and task-based activation of executive neurocognition has not previously been examined. This functional magnetic resonance imaging study examined the association between DUP and both activation and frontostriatal functional connectivity during a visual working memory (WM) paradigm in patients with first-episode psychosis.

METHODS

Patients with first-episode psychosis (n = 37) underwent functional magnetic resonance imaging scanning while performing a visual WM task. At the single-subject level, task conditions were modeled; at the group level, each condition was examined along with DUP. Activation was examined within the dorsolateral prefrontal cortex, a primary region supporting visual WM activation. Frontostriatal functional connectivity during the WM was examined via psychophysical interaction between the dorsal caudate and the dorsolateral prefrontal cortex. Results were compared with a reference range of connectivity values in a matched group of healthy volunteers (n = 25). Task performance was also examined in relation to neuroimaging findings.

RESULTS

No significant association was observed between DUP and WM activation. Longer DUP showed less functional frontostriatal connectivity with the maintenance of increasing WM load. Results were not related to task performance measures, consistent with previous work.

CONCLUSIONS

Our data suggest that DUP may affect frontostriatal circuitry that supports executive functioning. Future work is necessary to examine if these findings contribute to the mechanism underlying the relationship between DUP and worsened clinical outcomes.

Rate of and time to symptomatic remission in first-episode psychosis in Northern Malawi: A STROBE-compliant article

Although longer duration of untreated psychosis (DUP) is associated with poor response to antipsychotic treatment, it remains unclear whether it independently influences time to symptomatic remission in first-episode psychosis (FEP). This study examined rate of symptomatic remission, and explored if DUP, premorbid functioning, global functioning, insight and socio-demographic characteristics were independently associated with time to symptomatic remission in FEP.This prospective study enrolled 126 FEP patients (aged 18-65) between June 2009 and September 2012. Subjects were followed-up monthly over 18 months after they had received antipsychotic medication. Remission in positive and negative symptoms was defined as in the Remission in Schizophrenia Working Group (RSWG) criteria. Subjects were defined as "in symptomatic remission" if they remitted in both negative and positive symptoms. At baseline, the following explanatory variables were measured: socio-demographic characteristics; DUP as short (≤5 months) and long (>5 months); premorbid functioning as deteriorating, stable poor, and stable good according to Cannon-Spoor Premorbid Adjustment Scale; global functioning as "worst (1-10) to serious (41-50)" and "moderate (51-60) to superior (91-100)," according to the Global Assessment of Functioning Scale; and insight as poor (≤8) and good (≥9) according to the Insight Scale (Birchwood). Univariate and multivariable analyses were used to generate results.Out of 126 subjects, 98 (78%) completed follow-up, of which 70 (71.4%) achieved symptomatic remission within mean duration of 8.05 (4.54) months. Besides, having long DUP and separated/divorced/widowed (adjusted hazard ratio [aHR] = 0.07, 95%CI = [0.01, 0.46]), long DUP and poor insight (aHR = 0.18, 95%CI = [0.04, 0.89]), poor insight and separated/divorced/widowed (aHR = 0.09, 95%CI = [0.01, 0.70]), deteriorating premorbid functioning (aHR = 0.47, 95%CI = [0.23, 0.97]), family history of psychiatric disorders (aHR = 0.52, 95%CI = (0.30, 0.93]), and being male (aHR = 0.47, 95%CI = [0.24, 0.92]) delayed symptomatic remission.These results propose that psychological interventions and social support for mental health problems are warranted and may enhance better response to antipsychotic medications among separated/divorced/widowed patients with long DUP or poor insight, and poor insight patients with long DUP. Deteriorating premorbid functioning, family history of psychiatric disorders and being male continue being important risk factors for poor odds of remission.

First-episode psychosis: primary care experience and implications for service development

Aim and Methods

To capture the local primary care experience of first-episode psychosis before developing a local early intervention in psychosis service. A survey of Northamptonshire general practitioners (GPs) using a confidential questionnaire was carried out.

Results

Out of 284 GPs, 123 (43%) responded. General practitioners are unlikely to start treatment before referring to a specialist service: 63 GPs (51% of responders) start treatment in 10% or less of individuals with first-episode psychosis and 19 (15.5%) GPs start treatment in 75% or more before referring them to psychiatric service; 42 GPs (34%) refer those who request/accept a referral and 66 GPs (53%) refer all even if they refuse. Overall, 92 GPs (74%) agreed that an early intervention in psychosis service is needed and 77 (63%) GPs welcome having a mental health clinic in their surgery.

Clinical Implications

Individuals are more likely to accept referral to a psychiatric service if offered than to ask for it. People disengaging, stigma, the service being difficult to access/inappropriate and carers' lack of knowledge about mental illness are the likely causes for delayed referral.

Remission and recovery from first-episode psychosis in adults: systematic review and meta-analysis of long-term outcome studies

BackgroundRemission and recovery rates for people with first-episode psychosis (FEP) remain uncertain.AimsTo assess pooled prevalence rates of remission and recovery in FEP and to investigate potential moderators.MethodWe conducted a systematic review and meta-analysis to assess pooled prevalence rates of remission and recovery in FEP in longitudinal studies with more than 1 year of follow-up data, and conducted meta-regression analyses to investigate potential moderators.ResultsSeventy-nine studies were included representing 19072 patients with FEP. The pooled rate of remission among 12301 individuals with FEP was 58% (60 studies, mean follow-up 5.5 years). Higher remission rates were moderated by studies from more recent years. The pooled prevalence of recovery among 9642 individuals with FEP was 38% (35 studies, mean follow-up 7.2 years). Recovery rates were higher in North America than in other regions.ConclusionsRemission and recovery rates in FEP may be more favourable than previously thought. We observed stability of recovery rates after the first 2 years, suggesting that a progressive deteriorating course of illness is not typical. Although remission rates have improved over time recovery rates have not, raising questions about the effectiveness of services in achieving improved recovery.

Relationship between Duration of Untreated Psychosis and Intrinsic Corticostriatal Connectivity in Patients with Early Phase Schizophrenia

Patients with first-episode psychosis experience psychotic symptoms for a mean of up to 2 years prior to initiation of treatment, and long duration of untreated psychosis (DUP) is associated with poor clinical outcomes. Meanwhile, evidence compiled from numerous studies suggests that longer DUP is not associated with structural brain abnormalities. To date, few studies have examined the relationship between DUP and functional neuroimaging measures. In the present study, we used seed-based resting-state functional connectivity to examine the impact of DUP on corticostriatal circuitry. We included 83 patients with early phase schizophrenia and minimal exposure to antipsychotic drugs (<2 years), who underwent resting state scanning while entering 12 weeks of prospective treatment with second-generation antipsychotic drugs. Functional connectivity maps of the striatum were generated and examined in relation to DUP as a covariate. Mediation analyses were performed on a composite measure of corticostriatal connectivity derived from the significant results of our DUP analysis. We found that longer DUP correlated with worse response to treatment as well as overall decreased functional connectivity between striatal nodes and specific regions within frontal and parietal cortices. Moreover, the relationship between DUP and treatment response was significantly mediated by corticostriatal connectivity. Our results indicate that variation in corticostriatal circuitry may play a role in the relationship between longer DUP and worsened response to treatment. Future prospective studies are necessary to further characterize potential causal links between DUP, striatal circuitry and clinical outcomes.

Predictors of treatment response and drop out in the Treatment of Early-Onset Schizophrenia Spectrum Disorders (TEOSS) study

The Treatment of Early-Onset Schizophrenia Spectrum Disorders (TEOSS) compared the efficacy of risperidone, olanzapine, and molindone over 8 weeks in 119 youths age 8-19 years with early-onset schizophrenia or schizoaffective disorder. From this large dataset, we examined predictors of treatment response and drop out using stepwise regression and receiver operating characteristics curve (ROC) analysis. Treatment response was defined as having both a ≥ 20% improvement in Positive and Negative Syndrome Scale (PANSS) score and a Clinical Global Impression-Improvement (CGI-I) score < 3. More severe baseline symptoms, having a history of being in an early education program, and previous prescription of a mood stabilizer increased the likelihood of responding to treatment. Anhedonia and poor community functioning predicted a reduction in symptom severity on the PANSS. Random assignment to different antipsychotic treatment was not predictive of outcome. Parental report of aggressive behaviors at baseline and being African American were associated with a greater likelihood of drop out. Our results suggest youth with more severe psychotic symptoms are most likely to benefit from treatment with antipsychotics and that aggressive youth may require additional support to improve treatment adherence. Further investigation is needed to understand potentially modifiable predictors of response like early education programs.

Antipsychotic drugs for the acute treatment of patients with a first episode of schizophrenia: a systematic review with pairwise and network meta-analyses

BACKGROUND

The first episode of schizophrenia is a pivotal phase of this debilitating illness. Which drug to use remains controversial without a summary of all direct or indirect comparisons of drugs. We did a systematic review with pairwise and network meta-analyses of efficacy and tolerability.

METHODS

We searched MEDLINE, Embase, PsycINFO, Cochrane Library, PubMed, Biosis, and ClinicalTrials.gov for randomised controlled trials of antipsychotics for the acute treatment of first-episode schizophrenia, published up to Nov 17, 2016. Our primary outcome was overall change in symptoms. Secondary outcomes were change in positive and negative symptoms, categorical response to treatment, study dropout for any reason and for inefficacy of treatment, use of drugs to treat parkinsonian symptoms, weight gain, sedation, increase in prolactin release, overall functioning, and quality of life. We did the meta-analyses with a random-effects model to calculate standardised mean differences (SMDs) or odds ratios (ORs) with 95% CIs.

FINDINGS

We identified 19 relevant randomised controlled trials of 12 antipsychotic drugs that involved 2669 participants. 13 of the studies presented data on the primary outcome. For overall reduction of symptoms, amisulpride (SMD -0·37, 95% CI -0·61 to -0·14), olanzapine (-0·25, -0·39 to -0·12), ziprasidone (-0·25, -0·48 to -0·01), and risperidone (-0·14, -0·27 to -0·01) were significantly more efficacious than haloperidol, but the evidence was very low to moderate quality. Amisulpride was superior for reduction of symptoms to quetiapine (SMD -0·25, 95% CI -0·50 to -0·01). Olanzapine was superior to haloperidol and risperidone for reduction of negative symptoms. Several second-generation antipsychotics were superior to haloperidol in terms of all-cause discontinuation. Olanzapine was associated with at least one use of drugs to treat parkinsonian symptoms and quetiapine with less akathisia than haloperidol, aripiprazole, risperidone, and olanzapine, but, again, evidence was very low to low quality. Molindone was superior to risperidone, haloperidol, and olanzapine in terms of weight gain, and superior to risperidone in terms of increase in prolactin release.

INTERPREATION

Haloperidol seems to be a suboptimum treatment option for acute treatment of first-episode schizophrenia, but we found little difference between second-generation antipsychotics. The evidence was generally of low quality and the numbers of patients for each drug were small. Thus, the choice of treatment should be guided primarily by side-effects.

FUNDING

German Federal Ministry of Education and Research.

Effects of Group Cognitive-Behavioral Therapy in Young Patients in the Early Stage of Psychosis

OBJECTIVE

To develop a model of group cognitive-behavioral therapy (CBT) for Korean patients with early psychosis.

METHODS

The group CBT utilized in the present study consisted of metacognitive training, cognitive restructuring, and lifestyle managements. The Subjective Well-being Under Neuroleptics (SWN-K), Ambiguous Intentions Hostility Questionnaire (AIHQ), Drug Attitude Inventory (DAI), Beck Depression Inventory (BDI), Perceived Stress Scale (PSS), and Clinical Global Impression (CGI) were administered prior to and after CBT sessions. The participants were categorized into two groups according to the median duration of untreated psychosis (DUP; 4 months).

RESULTS

A total of 34 patients were included in this analysis. From pre- to post-therapy, there were significant increases in the SWN-K and DAI scores and significant decreases in the hostility subscale of the AIHQ, PSS, and CGI scores. Significant time × DUP interaction effects were observed for the SWN-K, DAI, and BDI scores, such that there were significant changes in patients with a short DUP but not in those with a long DUP.

CONCLUSION

The group CBT program had a positive effect on subjective wellbeing, attitude toward treatment, perceived stress, and suspiciousness of young Korean patients with early psychosis. These effects were particularly significant in patients with a short DUP.

Only a small proportion of patients with first episode psychosis come via prodromal services: a retrospective survey of a large UK mental health programme

BACKGROUND

Little is known about patients with a first episode of psychosis (FEP) who had first presented to prodromal services with an "at risk mental state" (ARMS) before making the transition to psychosis. We set out to identify the proportion of patients with a FEP who had first presented to prodromal services in the ARMS state, and to compare these FEP patients with FEP patients who did not have prior contact with prodromal services.

METHODS

In this study information on 338 patients aged ≤37 years who presented to mental health services between 2010 and 2012 with a FEP was examined. The data on pathways to care, clinical and socio-demographic characteristics were extracted from the Biomedical Research Council Case Register for the South London and Maudsley NHS Trust.

RESULTS

Over 2 years, 14 (4.1% of n = 338) young adults presented with FEP and had been seen previously by the prodromal services. These ARMS patients were more likely to enter their pathway to psychiatric care via referral from General Practice, be born in the UK and to have had an insidious mode of illness onset than FEP patients without prior contact with the prodromal services.

CONCLUSIONS

In the current pathways to care configuration, prodromal services are likely to prevent only a few at-risk individuals from transitioning to psychosis even if effective preventative treatments become available.

Long-Acting Injectable Antipsychotics in Schizophrenia: Literature Review and Practical Perspective, with a Focus on Aripiprazole Once-Monthly

INTRODUCTION

Prevention of relapse is a major challenge in schizophrenia, a disease characterized by poor adherence to antipsychotic medication leading to multiple rehospitalizations and a substantial burden-of-care.

METHODS

We narratively review published clinical data from the development of long-acting injectable (LAI) formulations of antipsychotic drugs and examine the comparative effectiveness of oral versus LAIs in schizophrenia, with a focus on the second-generation LAI antipsychotic aripiprazole. Evidence is presented from studies with naturalistic/pragmatic as well as explanatory trial designs, supported by the clinical experience of the authors.

RESULTS

LAI formulations of antipsychotic drugs offer advantages over oral medications and there is good evidence for their use as a first-choice treatment and in younger patients. Key phase III studies have shown aripiprazole once-monthly 400 mg (AOM 400) to be effective and well tolerated, with high rates of adherence and low rates of impending relapse. In a recent randomized trial with a "naturalistic" study design more representative of routine clinical practice, AOM 400 was well tolerated and had significantly greater effectiveness than paliperidone LAI overall and in younger patients aged ≤35 years.

CONCLUSION

Results across the "full spectrum" of efficacy in traditional clinical trials as well as those encompassing the concept of effectiveness in a more naturalistic setting of real-life clinical practice support the use of AOM 400 as a valid long-term treatment option in schizophrenia overall, as well as earlier in the treatment course, and not solely in situations of poor adherence or when oral antipsychotics have failed.

Confirmatory factor analysis of the quality of life scale and new proposed factor structure for the quality of life scale-revised

The Quality of Life Scale (QLS) is a frequently used semistructured interview for the assessment of functional outcomes in schizophrenia. Despite the use of the QLS for over 30years, the original 4-factor structure of the instrument (Interpersonal Relations, Instrumental Role, Intrapsychic Foundations, and Common Objects and Activities) has not been rigorously examined. Exploratory factor analyses (EFAs) and confirmatory factor analyses (CFAs) were used to evaluate the factor structure of the QLS in two independent datasets, including a mixed diagnostic sample of multi-episode participants (N=247), and a sample of individuals with a first episode of psychosis (N=337). A CFA with the first dataset indicated a poor fit for the 4-factor model of the QLS. Subsequent EFAs on this dataset led to a more promising 3-factor solution including 16/21 of the QLS items, which were similar to the first 3 of 4 factors originally proposed for the QLS. CFAs on the same dataset indicated that the 3-factor model for the QLS-Revised (QLS-R) fit the data well. This factor structure was evaluated with the second dataset using CFA and was also found to be fit the data well. The results support the robustness of the 3-factor model of the QLS-R in schizophrenia and mixed diagnostic samples. Future research should evaluate the validity of the 3-factor model of the QLS-R, and consider the merits of changing the name of the Intrapsychic Foundations factor to Motivation.

Connectomic correlates of response to treatment in first-episode psychosis

Connectomic approaches using diffusion tensor imaging have contributed to our understanding of brain changes in psychosis, and could provide further insights into the neural mechanisms underlying response to antipsychotic treatment. We here studied the brain network organization in patients at their first episode of psychosis, evaluating whether connectome-based descriptions of brain networks predict response to treatment, and whether they change after treatment. Seventy-six patients with a first episode of psychosis and 74 healthy controls were included. Thirty-three patients were classified as responders after 12 weeks of antipsychotic treatment. Baseline brain structural networks were built using whole-brain diffusion tensor imaging tractography, and analysed using graph analysis and network-based statistics to explore baseline characteristics of patients who subsequently responded to treatment. A subgroup of 43 patients was rescanned at the 12-week follow-up, to study connectomic changes over time in relation to treatment response. At baseline, those subjects who subsequently responded to treatment, compared to those that did not, showed higher global efficiency in their structural connectomes, a network configuration that theoretically facilitates the flow of information. We did not find specific connectomic changes related to treatment response after 12 weeks of treatment. Our data suggest that patients who have an efficiently-wired connectome at first onset of psychosis show a better subsequent response to antipsychotics. However, response is not accompanied by specific structural changes over time detectable with this method.

How Do Psychiatrists Apply the Minimum Clinically Important Difference to Assess Patient Responses to Treatment?

Symptom report scales are used in clinical practice to monitor patient outcomes. Using them permits the definition of a minimum clinically important difference (MCID) beyond which a patient may be judged as having responded to treatment. Despite recommendations that clinicians routinely use MCIDs in clinical practice, statisticians disagree about how MCIDs should be used to evaluate individual patient outcomes and responses to treatment. To address this issue, we asked how clinicians actually use MCIDs to evaluate patient outcomes in response to treatment. Sixty-eight psychiatrists made judgments about whether hypothetical patients had responded to treatment based on their pre- and posttreatment change scores on the widely used Positive and Negative Syndrome Scale. Psychiatrists were provided with the scale's MCID on which to base their judgments. Our secondary objective was to assess whether knowledge of the patient's genotype influenced psychiatrists' responder judgments. Thus, psychiatrists were also informed of whether patients possessed a genotype indicating hyperresponsiveness to treatment. While many psychiatrists appropriately used the MCID, others accepted a far lower posttreatment change as indicative of a response to treatment. When psychiatrists accepted a lower posttreatment change than the MCID, they were less confident in such judgments compared to when a patient's posttreatment change exceeded the scale's MCID. Psychiatrists were also less likely to identify patients as responders to treatment if they possessed a hyperresponsiveness genotype. Clinicians should recognize that when judging patient responses to treatment, they often tolerate lower response thresholds than warranted. At least some conflate their judgments with information, such as the patient's genotype, that is irrelevant to a post hoc response-to-treatment assessment. Consequently, clinicians may be at risk of persisting with treatments that have failed to demonstrate patient benefits.

Early predictors of a clinical response at 8 weeks in patients with first-episode psychosis treated with paliperidone ER

Identification of early clinical markers that predict later treatment outcomes in first-episode psychosis is highly valuable. The present study was conducted to determine the best time at which to predict the late treatment response in first-episode psychosis patients treated with paliperidone extended release (ER), the factors predicting early treatment responses (at Week 2 and Week 3) and the relationships between the paliperidone ER plasma concentrations at Week 2 and Week 3, and the treatment responses at Week 2, Week 3 and Week 8. Various criteria for assessing treatment response were employed. We determined the plasma paliperidone concentrations at Week 2 and Week 3, using validated high-performance liquid chromatography/tandem mass spectrometry (HPLC-MS/MS). The treatment response at Week 3 optimally predicted the later (Week 8) response, in terms of negative predictive value (NPV). Independent predictors for good treatment responses at Week 2 and Week 3 were: Female gender, a higher educational level, a higher Positive and Negative Syndrome Scale (PANSS) excited score, and/or a shorter duration of untreated psychosis (DUP). The plasma paliperidone concentration at Week 3, but not Week 2, was a significant predictor of the late treatment response at Week 8. These results may help appropriate clinical decision-making for early non-responders after having their first episode of psychosis.

Clinical predictors of therapeutic response to antipsychotics in schizophrenia

The search for clinical outcome predictors for schizophrenia is as old as the field of psychiatry. However, despite a wealth of large, longitudinal studies into prognostic factors, only very few clinically useful outcome predictors have been identified. The goal of future treatment is to either affect modifiable risk factors, or use nonmodifiable factors to parse patients into therapeutically meaningful subgroups. Most clinical outcome predictors are nonspecific and/or nonmodifiable. Nonmodifiable predictors for poor odds of remission include male sex, younger age at disease onset, poor premorbid adjustment, and severe baseline psychopathology. Modifiable risk factors for poor therapeutic outcomes that clinicians can act upon include longer duration of untreated illness, nonadherence to antipsychotics, comorbidities (especially substance-use disorders), lack of early antipsychotic response, and lack of improvement with non-clozapine antipsychotics, predicting clozapine response. It is hoped that this limited capacity for prediction will improve as pathophysiological understanding increases and/or new treatments for specific aspects of schizophrenia become available.

Pharmacogenetics of clozapine treatment response and side-effects in schizophrenia: an update

INTRODUCTION

Clozapine (CLZ) is the most effective treatment for treatment-resistant schizophrenia (SCZ) patients, with potential added benefits of reduction in suicide risk and aggression. However, CLZ is also mainly underused due to its high risk for the potentially lethal side-effect of agranulocytosis as well as weight gain and related metabolic dysregulation. Pharmacogenetics promises to enable the prediction of patient treatment response and risk of adverse effects based on patients' genetics, paving the way toward individualized treatment.

AREA COVERED

This article reviews pharmacogenetics studies of CLZ response and side-effects with a focus on articles from January 2012 to February 2015, as an update to the previous reviews. Pharmacokinetic genes explored primarily include CYP1A2, while pharmacodynamic genes consisted of traditional pharmacogenetic targets such as brain-derived neurotrophic factor as well novel mitochondrial genes, NDUFS-1 and translocator protein.

EXPERT OPINION

Pharmacogenetics is a promising avenue for individualized medication of CLZ in SCZ, with several consistently replicated gene variants predicting CLZ response and side-effects. However, a large proportion of studies have yielded mixed results. Large-scale Genome-wide association studies (e.g., CRESTAR) and targeted gene studies with standardized designs (response measurements, treatment durations, plasma level monitoring) are required for further progress toward clinical translation. Additionally, in order to improve study quality, we recommend accounting for important confounders, including polypharmacy, baseline measurements, treatment duration, gender, and age at onset.

Treatment response, safety, and tolerability of paliperidone extended release treatment in patients recently diagnosed with schizophrenia

OBJECTIVE

This study was designed to explore the efficacy and tolerability of oral paliperidone extended release (ER) in a sample of patients who were switched to flexible doses within the crucial first 5 years after receiving a diagnosis of schizophrenia.

METHODS

Patients were recruited from 23 countries. Adults with nonacute but symptomatic schizophrenia, previously unsuccessfully treated with other oral antipsychotics, were transitioned to paliperidone ER (3-12 mg/day) and prospectively treated for up to 6 months. The primary efficacy outcome for patients switching for the main reason of lack of efficacy with their previous antipsychotic was at least 20% improvement in Positive and Negative Syndrome Scale (PANSS) total scores. For patients switching for other main reasons, such as lack of tolerability, compliance or 'other', the primary outcome was non-inferiority in efficacy compared with the previous oral antipsychotic.

RESULTS

For patients switching for the main reason of lack of efficacy, 63.1% achieved an improvement of at least 20% in PANSS total scores from baseline to endpoint. For each reason for switching other than lack of efficacy, efficacy maintenance after switching to paliperidone ER was confirmed. Statistically significant improvement in patient functioning from baseline to endpoint, as assessed by the Personal and Social Performance scale, was observed (p < 0.0001). Treatment satisfaction with prior antipsychotic treatment at baseline was rated 'good' to 'very good' by 16.8% of patients, and at endpoint by 66.0% of patients treated with paliperidone ER. Paliperidone ER was generally well tolerated, with frequently reported treatment-emergent adverse events being insomnia, anxiety and somnolence.

CONCLUSIONS

Flexibly dosed paliperidone ER was associated with clinically relevant symptomatic and functional improvement in recently diagnosed patients with non-acute schizophrenia previously unsuccessfully treated with other oral antipsychotics.

Clinical and social correlates of duration of untreated psychosis among adult-onset psychosis in Hong Kong Chinese: the JCEP study

AIM

Understanding factors that contribute to treatment delay would inform early detection and intervention strategies in psychotic disorders. However, existing data were mixed and primarily conducted among early-onset young patients. We examined duration of untreated psychosis (DUP) and its clinical and sociodemographic correlates in a large cohort of adult-onset patients with psychosis.

METHODS

A total of 360 patients with first-onset psychosis aged 26-55 years were recruited consecutively as part of a controlled study of an early psychosis intervention service in Hong Kong Chinese. Demographic, sociodemographic and clinical characteristics relating to DUP were assessed within 4 months of onset.

RESULTS

The population had a mean onset age of 36.6 years (SD = 8.7). The mean and median DUP were 515 days (SD = 1091) and 93 days (inter-quartile range from 20 to 382.3), respectively. Multivariate regression analysis suggested that insidious mode of onset, hospitalization, a diagnosis of schizophrenia, poorer insight and younger age at onset significantly prolonged DUP. DUP was not related to premorbid functioning, family involvement during help seeking and living alone.

CONCLUSIONS

The initial period of untreated psychosis is determined by multiple factors. Whether family involvement is considered a kind of social support in shortening or prolonging DUP needs further examination. Local early intervention program for psychosis should take reference from these findings when formulating personalized plans to reduce delay.

School-based approaches to reducing the duration of untreated psychosis

Students with emerging psychosis often experience delays in diagnosis and treatment that impact mental health and academic outcomes. School systems have tremendous potential to improve early identification and treatment of adolescent psychosis. As a community-based resource, schools can support outreach, education, and screening for adolescents with psychosis and engage identified students and their families for treatment. The concept of duration of untreated psychosis (DUP; the gap between symptom onset and treatment initiation) in adolescent psychosis and the potential role of schools in reducing DUP are reviewed. Future directions for clinical care and research needed to support school-based interventions are proposed.

The prognostic significance of early remission of positive symptoms in first treated psychosis

We examine the relationship between achieving remission of positive symptoms within 3 months in first episode psychosis and outcomes 5 years later. Time to remission of positive symptoms, other early characteristics and 5 year outcomes were assessed in a prospective study of 132 patients being treated for the first time for a psychotic disorder. Just under 60% of patients showed remission of positive symptoms within 3 months. In comparison to later remitters, they showed lower levels of positive symptoms, greater likelihood of competitive employment and less likelihood of collecting a disability pension at 5 years. Earlier remission of positive symptoms may have prognostic significance for longer term outcomes.

A molecular pathway analysis of the glutamatergic-monoaminergic interplay serves to investigate the number of depressive records during citalopram treatment

The efficacy of current antidepressant (AD) drugs for the treatment of major depressive disorder (MDD) lays behind expectations. The correct genetic differentiation between severe and less severe cases before treatment may pave the way to the most correct clinical choices in clinical practice. Genetics may pave the way such identification, which in turns may provide perspectives for the synthesis of new ADs by correcting the molecular unbalances that differentiate severe and less severe depressive patients. We investigated 1,903 MDD patients from the STAR*D study. Outcome was the number of severe depressive records, defined as a Quick Inventory of Depressive Symptomatology (QIDS)-Clinician rated (C) total score >15, corrected for the number of observations for each patient during the first 14 weeks of citalopram treatment. Predictors were the genetic variations harbored by genes involved in the glutamatergic-monoaminergic interplay as defined in a previous work published by our group. Clinical and socio-demographic stratification factor analyses were taken in cases and controls. Covariated linear regression was the statistical model for the analysis. SNPs were analyzed in groups (molecular pathway analysis) testing the hypothesis that the distribution of significant (p < 0.05) associations between SNPs and the outcome segregates within each pathway/gene subset. The best associated results are relative to two signle SNPs, (rs7744492 in AKAP12 p = 0.0004 and rs17046113 in CAMK2D p = 0.0006) and a molecular pathway (cAMP biosynthetic process p = 0.005). After correction for multitesting, none of them resulted to be significantly associated. These results are consistent with previous findings in literature and further stress that the molecular mechanisms targeted by current ADs may not be the key biological variables that differentiate severe from mild depression.

Race, ethnicity, and the duration of untreated psychosis: a systematic review

PURPOSE

An extended duration of untreated psychosis (DUP) is associated with poor outcome in first-episode psychosis (FEP). Some have suggested that minority ethnic groups have longer treatment delays, and this could lead to worse outcomes. We systematically reviewed the literature on racial and ethnic differences in DUP in patients with FEP.

METHODS

We searched electronic databases and conducted forward and backward tracking to identify studies that had compared DUP for people with FEP from different racial or ethnic groups.

RESULTS

We identified ten papers that reported on the association between race or ethnicity and DUP. Overall, these studies did not find evidence of differences between groups; however, three of ten studies suggested that Black patients generally, and Black-African patients specifically, may have a shorter DUP relative to White patients. There were methodological limitations in most studies with respect to ethnicity classification, sample size, and adjustment for potential confounders.

CONCLUSION

Racial and ethnic differences in DUP were rarely found. This could reflect that DUP does not differ between groups, or may reflect the methodological limitations of prior research. Studies that are designed and powered to examine these differences in treatment delay are needed to determine whether there are differences in DUP for minority groups.

Duration of untreated psychosis predicts functional and clinical outcome in children and adolescents with first-episode psychosis: a 2-year longitudinal study

Longer duration of untreated psychosis (DUP) in adult patients with first-episode psychosis (FEP) has been associated with poor clinical and social outcomes. We aimed to estimate the influence of DUP on outcome at 2-year follow-up in subjects with an early-onset (less than 18 years of age) FEP of less than 6 months' duration. A total of 80 subjects (31.3% females, mean age 16.0±1.8 years) were enrolled in the study. The influence of DUP on outcome was estimated using multiple regression models (two linear models for influence of DUP on the C-GAF at 2 years and C-GAF change through the follow-up period, and a logistic model for influence of DUP on 41 PANSS remission at 2 years in schizophrenia patients (n=47)). Mean DUP was 65.3±54.7 days. Median DUP was 49.5 days. For the whole sample (n=80), DUP was the only variable significantly related to C-GAF score at 2-year follow-up (Beta=-0.13, p<0.01), while DUP and premorbid adjustment (Beta=-0.01, p<0.01; and Beta=-0.09, p=0.04, respectively) were the only variables significantly related to C-GAF change. In schizophrenia patients, DUP predicted both C-GAF score at 2 years and C-GAF change, while in patients with affective psychosis (n=22), DUP was unrelated to outcome. Lower baseline C-GAF score (OR=0.91, p<0.01) and shorter DUP (OR=0.98, p=<0.01) were the only variables that significantly predicted clinical remission in schizophrenia patients. In conclusion, longer DUP was associated with lower C-GAF at 2 years, less increase in C-GAF, and lower rates of clinical remission in early-onset FEP. Our findings support the importance of early detection programs, which help shorten DUP.