Axis I diagnoses and transition to psychosis in clinical high-risk patients EPOS project: prospective follow-up of 245 clinical high-risk outpatients in four countries

In selected samples, a considerable number of patients at clinical high risk of psychosis (CHR) are found to meet criteria for co-morbid clinical psychiatric disorders. It is not known how clinical diagnoses correspond to or even predict transitions to psychosis (TTP). Our aim was to examine distributions of life-time and current Axis I diagnoses, and their association with TTP in CHR patients.

Personality disorders and accentuations in at-risk persons with and without conversion to first-episode psychosis

The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Cluster A personality disorders (PDs), particularly schizotypal PD, are considered a part of the schizophrenia spectrum and a risk factor of psychosis. The role of PDs and personality accentuations (PAs) in predicting conversion to psychosis was studied in patients symptomatically considered at risk, assuming a major role of the schizotypal subtype.

Cannabis use and age at onset of symptoms in subjects at clinical high risk for psychosis

Numerous studies have found a robust association between cannabis use and the onset of psychosis. Nevertheless, the relationship between cannabis use and the onset of early (or, in retrospect, prodromal) symptoms of psychosis remains unclear. The study focused on investigating the relationship between cannabis use and early and high-risk symptoms in subjects at clinical high risk for psychosis.

Cognitive functioning in at-risk mental states for psychosis and 2-year clinical outcome

Cognitive impairment is prevalent in at-risk mental states (ARMS) for psychosis.

Insular volume abnormalities associated with different transition probabilities to psychosis

Background Although individuals vulnerable to psychosis show brain volumetric abnormalities, structural alterations underlying different probabilities for later transition are unknown. The present study addresses this issue by means of voxel-based morphometry (VBM). Method We investigated grey matter volume (GMV) abnormalities by comparing four neuroleptic-free groups: individuals with first episode of psychosis (FEP) and with at-risk mental state (ARMS), with either long-term (ARMS-LT) or short-term ARMS (ARMS-ST), compared to the healthy control (HC) group. Using three-dimensional (3D) magnetic resonance imaging (MRI), we examined 16 FEP, 31 ARMS, clinically followed up for on average 3 months (ARMS-ST, n=18) and 4.5 years (ARMS-LT, n=13), and 19 HC. Results The ARMS-ST group showed less GMV in the right and left insula compared to the ARMS-LT (Cohen's d 1.67) and FEP groups (Cohen's d 1.81) respectively. These GMV differences were correlated positively with global functioning in the whole ARMS group. Insular alterations were associated with negative symptomatology in the whole ARMS group, and also with hallucinations in the ARMS-ST and ARMS-LT subgroups. We found a significant effect of previous antipsychotic medication use on GMV abnormalities in the FEP group. Conclusions GMV abnormalities in subjects at high clinical risk for psychosis are associated with negative and positive psychotic symptoms, and global functioning. Alterations in the right insula are associated with a higher risk for transition to psychosis, and thus may be related to different transition probabilities.

Predictors of substance use reduction in an epidemiological first-episode psychosis cohort

Aim To assess the predictors of a significant decrease or cessation of substance use (SU) in a treated epidemiological cohort of first-episode psychosis (FEP) patients. Method Participants were FEP patients of the Early Psychosis Prevention and Intervention Centre in Australia. Patients' medical files were reviewed using a standardized file audit. Data on 432 patients with FEP and baseline co-morbid substance use disorder (SUD) were available for analysis. Predictors of reduction/cessation of SU at follow up were examined using logistic regression analyses. Results In univariate analyses, a reduction/cessation of SU was predicted by baseline measures reflecting higher education, employment, accommodation with others, cannabis use disorder (CUD) only (rather than poly-SUDs), better global functioning and better premorbid social and occupational functioning, later age at onset of psychosis, and a diagnosis of non-affective psychosis. In multivariate analysis, CUD alone and better premorbid social and occupational functioning remained significant predictors. Conclusions Addressing SUDs and social and occupational goals in people with FEP may offer opportunities to prevent SUDs becoming more severe or entrenched. Further longitudinal research on recovery from SU and FEP is needed to disentangle directions of influence and identify key targets for intervention.

Help-seeking pathways in early psychosis

INTRODUCTION: Understanding the help-seeking pathways of patients with a putative risk of developing psychosis helps improving development of specialised care services. This study aimed at obtaining information about: type of health professionals contacted by patients at putative risk for psychosis on their help-seeking pathways; number of contacts; type of symptoms leading to contacts with health professionals; interval between initial contact and referral to a specialised outpatient service. METHOD: The help-seeking pathways were assessed as part of a prospective study in 104 patients with suspected at-risk states for psychosis. RESULTS: The mean number of contacts prior to referral was 2.38. Patients with psychotic symptoms more often contacted mental health professionals, whereas patients with insidious and more unspecific features more frequently contacted general practitioners (GPs). CONCLUSIONS: GPs have been found to under-identify the insidious features of emerging psychosis (Simon et al. (2005) Br J Psychiatry 187:274-281). The fact that they were most often contacted by patients with exactly these features calls for focussed and specialised help for primary care physicians. Thus, delays along the help-seeking pathways may be shortened. This may be of particular relevance for patients with the deficit syndrome of schizophrenia.

[No rebound psychosis in a case of switching from clozapine to quetiapine]

OBJECTIVE: After rapid discontinuation of clozapine treatment rebound psychosis have been reported. Preexposure of D (2) receptors to clozapine may alter their affinity to endogenous dopamine. Clozapine withdrawal may also lead dysfunctional NMDA-receptors to cause dopamine release in the striatum. METHOD: We report a case of a schizophrenic patient treated with clozapine 200 mg and aripiprazole 15 mg per day. After rapid clozapine discontinuation we added quetiapine up to 700 mg daily. RESULTS: No rebound psychosis occurred. Even ten weeks after switching to quetiapine the patient's condition remained stable in the Brief Psychiatric Rating Scale. CONCLUSIONS: The combination of aripiprazole and quetiapine seemed to control supersensitivity effects at the D (2) receptor after clozapin withdrawal in this case.

Gender differences in premorbid, entry, treatment, and outcome characteristics in an epidemiological sample of 661 patients with first episode psychosis

Gender differences in psychotic disorder have been observed in terms of illness onset and course; however, past research has been limited by inconsistencies between studies and the lack of epidemiological representative of samples assessed. Thus, the aim of this study was to elucidate gender differences in a treated epidemiological sample of patients with first episode psychosis (FEP).

Prevalence and predictors of suicide attempt in an incidence cohort of 661 young people with first-episode psychosis

Studies investigating suicidal behaviour in psychosis rarely focus on incidence cohorts of first-episode patients. This is important, because patients who refuse study participation have higher rates of comorbid substance use disorders and longer duration of untreated psychosis as well as worse course illness, variables potentially linked to higher prevalence of suicidal behaviour. The aims of the present study were therefore to examine the prevalence and predictors of suicide and suicide attempt before and during the first 18-24 months of treatment.

Who stays, who benefits? Predicting dropout and change in cognitive behaviour therapy for psychosis

This study investigates predictors of outcome in a secondary analysis of dropout and completer data from a randomized controlled effectiveness trial comparing CBTp to a wait-list group (Lincoln et al., 2012). Eighty patients with DSM-IV psychotic disorders seeking outpatient treatment were included. Predictors were assessed at baseline. Symptom outcome was assessed at post-treatment and at one-year follow-up. The predictor x group interactions indicate that a longer duration of disorder predicted less improvement in negative symptoms in the CBTp but not in the wait-list group whereas jumping-to-conclusions was associated with poorer outcome only in the wait-list group. There were no CBTp specific predictors of improvement in positive symptoms. However, in the combined sample (immediate CBTp+the delayed CBTp group) baseline variables predicted significant amounts of positive and negative symptom variance at post-therapy and one-year follow-up after controlling for pre-treatment symptoms. Lack of insight and low social functioning were the main predictors of drop-out, contributing to a prediction accuracy of 87%. The findings indicate that higher baseline symptom severity, poorer functioning, neurocognitive deficits, reasoning biases and comorbidity pose no barrier to improvement during CBTp. However, in line with previous predictor-research, the findings imply that patients need to receive treatment earlier.

A Stratified Model for Psychosis Prediction in Clinical Practice

Objective: Impaired cognition is an important dimension in psychosis and its at-risk states. Research on the value of impaired cognition for psychosis prediction in at-risk samples, however, mainly relies on study-specific sample means of neurocognitive tests, which unlike widely available general test norms are difficult to translate into clinical practice. The aim of this study was to explore the combined predictive value of at-risk criteria and neurocognitive deficits according to test norms with a risk stratification approach. Method: Potential predictors of psychosis (neurocognitive deficits and at-risk criteria) over 24 months were investigated in 97 at-risk patients. Results: The final prediction model included (1) at-risk criteria (attenuated psychotic symptoms plus subjective cognitive disturbances) and (2) a processing speed deficit (digit symbol test). The model was stratified into 4 risk classes with hazard rates between 0.0 (both predictors absent) and 1.29 (both predictors present). Conclusions: The combination of a processing speed deficit and at-risk criteria provides an optimized stratified risk assessment. Based on neurocognitive test norms, the validity of our proposed 3 risk classes could easily be examined in independent at-risk samples and, pending positive validation results, our approach could easily be applied in clinical practice in the future.