ABC Schizophrenia study: an overview of results since 1996

Combinations and Temporal Associations Among Precursor Symptoms Before a First Episode of Psychosis

BACKGROUND AND HYPOTHESIS

Symptoms that precede a first episode of psychosis (FEP) can ideally be targeted by early intervention services with the aim of preventing or delaying psychosis onset. However, these precursor symptoms emerge in combinations and sequences that do not rest fully within traditional diagnostic categories. To advance our understanding of illness trajectories preceding FEP, we aimed to investigate combinations and temporal associations among precursor symptoms.

STUDY DESIGN

Participants were from PEPP-Montréal, a catchment-based early intervention program for FEP. Through semistructured interviews, collateral from relatives, and a review of health and social records, we retrospectively measured the presence or absence of 29 precursor symptoms, including 9 subthreshold psychotic and 20 nonpsychotic symptoms. Sequences of symptoms were derived from the timing of the first precursor symptom relative to the onset of FEP.

STUDY RESULTS

The sample included 390 participants (68% men; age range: 14-35 years). Combinations of precursor symptoms most frequently featured depression, anxiety, and substance use. Of 256 possible pairs of initial and subsequent precursor symptoms, many had asymmetrical associations: eg, when the first symptom was suspiciousness, the incidence rate ratio (IRR) of subsequent anxiety was 3.40 (95% confidence interval [CI]: 1.79, 6.46), but when the first symptom was anxiety, the IRR of subsequent suspiciousness was 1.15 (95% CI: 0.77, 1.73).

CONCLUSIONS

A detailed examination of precursor symptoms reveals diverse clinical profiles that cut across diagnostic categories and evolve longitudinally prior to FEP. Their identification may contribute to risk assessments and provide insights into the mechanisms of illness progression.

A transdiagnostic prodrome for severe mental disorders: an electronic health record study

Effective prevention of severe mental disorders (SMD), including non-psychotic unipolar mood disorders (UMD), non-psychotic bipolar mood disorders (BMD), and psychotic disorders (PSY), rely on accurate knowledge of the duration, first presentation, time course and transdiagnosticity of their prodromal stages. Here we present a retrospective, real-world, cohort study using electronic health records, adhering to RECORD guidelines. Natural language processing algorithms were used to extract monthly occurrences of 65 prodromal features (symptoms and substance use), grouped into eight prodromal clusters. The duration, first presentation, and transdiagnosticity of the prodrome were compared between SMD groups with one-way ANOVA, Cohen's f and d. The time course (mean occurrences) of prodromal clusters was compared between SMD groups with linear mixed-effects models. 26,975 individuals diagnosed with ICD-10 SMD were followed up for up to 12 years (UMD = 13,422; BMD = 2506; PSY = 11,047; median[IQR] age 39.8[23.7] years; 55% female; 52% white). The duration of the UMD prodrome (18[36] months) was shorter than BMD (26[35], d = 0.21) and PSY (24[38], d = 0.18). Most individuals presented with multiple first prodromal clusters, with the most common being non-specific ('other'; 88% UMD, 85% BMD, 78% PSY). The only first prodromal cluster that showed a medium-sized difference between the three SMD groups was positive symptoms (f = 0.30). Time course analysis showed an increase in prodromal cluster occurrences approaching SMD onset. Feature occurrence across the prodromal period showed small/negligible differences between SMD groups, suggesting that most features are transdiagnostic, except for positive symptoms (e.g. paranoia, f = 0.40). Taken together, our findings show minimal differences in the duration and first presentation of the SMD prodromes as recorded in secondary mental health care. All the prodromal clusters intensified as individuals approached SMD onset, and all the prodromal features other than positive symptoms are transdiagnostic. These results support proposals to develop transdiagnostic preventive services for affective and psychotic disorders detected in secondary mental healthcare.

Personal recovery in first-episode psychosis: Beyond clinical and functional recovery

BACKGROUND

The concept of personal recovery after psychotic illness focuses more on patients' social and existential needs compared to traditional outcome measures including clinical and functional recovery. This research aims to contribute to a broad framework on (personal) recovery and associated factors.

METHODS

Data from 203 persons with symptomatic remission of their first-episode psychosis from the ongoing HAMLETT study were analyzed. To determine the relative importance of several biological, clinical, psychological, and social factors in explaining personal recovery as measured by the Recovery Assessment Scale (RAS), partial Spearman correlations (controlling for clinical recovery (PANSS) and functional recovery (WHODAS 2.0)) and a bootstrapped multiple regression were performed. Indirect effects on personal recovery within these factors, clinical recovery, and functional recovery were explored using a regularized partial correlation network.

RESULTS

Of the factors that explained personal recovery beyond the effects of clinical and functional recovery, social support was the strongest predictor, followed by self-esteem, internalized stigma, and insecure attachment, collectively explaining 48.2 % of the variance. Anhedonia/apathy showed a trend towards a negative correlation. Age at onset, sex, early trauma/neglect, cognition, and being married/cohabiting did not significantly correlate with personal recovery. The network (n = 143) was consistent with these findings and indicated possible mediation pathways for early trauma/neglect, insecure attachment, cognition, and being married/cohabiting.

CONCLUSIONS

Personal recovery is an important addition to traditional measures of outcome after psychosis. Various quality of life indicators, such as self-esteem and social support, explain variance in personal recovery over clinical and functional recovery.

Transdiagnostic risk identification: A validation study of the Clinical High At Risk Mental State (CHARMS) criteria

A set of clinical criteria, the Clinical High At-Risk Mental State (CHARMS) criteria, have been developed to identify symptomatic young people who are at-risk of disorder progression. The current study aimed to validate the CHARMS criteria by testing whether they prospectively identify individuals at-risk of progressing from attenuated symptomatology to a first episode of serious mental disorder, namely first episode psychosis, first episode mania, severe major depression, and borderline personality disorder. 121 young people completed clinical evaluations at baseline, 6- and 12-month follow-up. The Kaplan-Meier method was used to assess transition rates. Cox regression and LASSO were used to examine baseline clinical predictors of transition. Linear mixed effects modelling was used to examine symptom severity. 28 % of CHARMS+ individuals transitioned to a Stage 2 disorder by 12-month follow-up. The CHARMS+ group had more severe symptoms at follow-up than the CHARMS- group. 96 % of Stage 2 transitions were initially to severe depression. Meeting criteria for multiple CHARMS subgroups was associated with higher transition risk: meeting one at-risk group = 24 %; meeting two at-risk groups = 17 %, meeting three at-risk groups = 55 %, meeting four at-risk groups = 50 %. The strongest baseline predictor of transition was severity of depressive symptoms. The CHARMS criteria identified a group of individuals at-risk of imminent onset of severe mental disorder, particularly severe depression. Larger scale studies and longer follow-up periods are required to validate and extend these findings.

A study of the interactive mediating effect of ADHD and NSSI caused by co-disease mechanisms in males and females

Background

Non-suicidal self-injury (NSSI), of which the predisposing factors are complex and diverse, profoundly affects the physical and mental health of young people. Therefore, this work established an NSSI intermediary network model considering the interaction of multiple factors. A mediating effect between attention-deficit/hyperactivity disorder (ADHD) and NSSI, considering the influence of comorbidities, such as depression, anxiety, and impulsive personality, was proposed based on sex differences.

Methods

A total of 2,689 middle school students in Ningbo City, Zhejiang Province, China, were randomly sampled and participated in this study. Data regarding their demographic characteristics, attention deficit, hyperactivity/impulsivity, NSSI, anxiety, depression, internet addiction, and other comorbid symptoms were collected and analyzed. After initially screening the data, variables were assessed for significance using a single-factor inter-group difference analytic method, and a binary logistic regression analysis was performed. The intermediary effect of factors influencing NSSI in males and females was also analyzed.

Results

The overall NSSI rate was 15.16%. The results showed that the impact of individual impulsivity characteristics (impulsiveness, the ADHD with hyperactivity/impulsivity subtype) on NSSI behavior was not significant (regression results, P > 0.05). The degree of association between ADHD with attention deficit and ADHD with comprehension deficit subtypes, and other comorbid symptoms (depression, anxiety, and internet addiction disorder) and NSSI, with odds ratios (ORs) of 7.6/6.42/436.68/3.82/1.86, and 95% bootstrap confidence intervals (CIs) of 4.64, 12.87/3.46, 12.67/137.42, 2659.13/2.32, 6.37/1.31, 2.82, respectively. The results also showed significant effects of ADHD subtypes on comorbid symptoms and the path effects of NSSI (P < 0.01). Among them, the mediating effect was the strongest when anxiety was the mediating variable, and the mediating effect of girls was higher than that of boys.

Conclusion

The results of this work demonstrated the influence of ADHD symptoms on NSSI behavior. Among patients with ADHD, patients with subtypes with obvious attention deficit characteristics were more likely to exhibit NSSI behavior, whereas the hyperactive impulse subtype had no direct impact on NSSI. We conclude that adolescent impulsivity may not be directly related to NSSI behavior and that impulsive characteristics jointly affect NSSI behavior through a series of NSSI comorbid symptoms. Notably, the probability of symptom onset and the degree of comorbidity was significantly higher in girls than in boys of the same age, and girls were more prone to NSSI behavior. These findings provide effective theoretical support for the prevention and treatment of adolescent NSSI behavior.

Relationships between childhood trauma and dimensional schizotypy: A network analysis and replication

OBJECTIVES

Childhood trauma (CT) has been found to increase the risk of developing schizophrenia and other psychiatric disorders. Little is known regarding the complex interplay between CT, subclinical psychotic, and affective symptoms in the general population. This cross-sectional study adopted network analysis to examine such a complex relationship. We hypothesized that CT would show strong connections with schizotypy dimensions, and the high schizotypy subgroup would show a network with higher global strength compared with the low schizotypy subgroup.

METHODS

A total of 1813 college students completed a set of self-report questionnaires measuring CT, schizotypal features, bipolar traits, and depressive symptoms. The subscales of these questionnaires were used as nodes, and the partial correlations between nodes were used as edges to construct a network. Network Comparison Tests were used to investigate the differences between participants with high schizotypy and low schizotypy. An independent sample (n = 427) was used to examine the replicability of the results.

RESULTS

Findings from the main dataset showed that CT was closely connected with schizotypy and motivation, after controlling for the inter-relationships between all nodes in the network. Relative to the low schizotypy subgroup, the network of the high schizotypy subgroup showed higher global strength. The two subgroups did not differ in network structure. Network analysis using the replication dataset showed comparable global strength and network structure.

CONCLUSIONS

Our findings support specific links between CT and schizotypy dimensions in healthy youth populations, and such links appear to become stronger in those with high schizotypy.

The thalamus in psychosis spectrum disorder

Psychosis spectrum disorder (PSD) affects 1% of the world population and results in a lifetime of chronic disability, causing devastating personal and economic consequences. Developing new treatments for PSD remains a challenge, particularly those that target its core cognitive deficits. A key barrier to progress is the tenuous link between the basic neurobiological understanding of PSD and its clinical phenomenology. In this perspective, we focus on a key opportunity that combines innovations in non-invasive human neuroimaging with basic insights into thalamic regulation of functional cortical connectivity. The thalamus is an evolutionary conserved region that forms forebrain-wide functional loops critical for the transmission of external inputs as well as the construction and update of internal models. We discuss our perspective across four lines of evidence: First, we articulate how PSD symptomatology may arise from a faulty network organization at the macroscopic circuit level with the thalamus playing a central coordinating role. Second, we discuss how recent animal work has mechanistically clarified the properties of thalamic circuits relevant to regulating cortical dynamics and cognitive function more generally. Third, we present human neuroimaging evidence in support of thalamic alterations in PSD, and propose that a similar "thalamocortical dysconnectivity" seen in pharmacological imaging (under ketamine, LSD and THC) in healthy individuals may link this circuit phenotype to the common set of symptoms in idiopathic and drug-induced psychosis. Lastly, we synthesize animal and human work, and lay out a translational path for biomarker and therapeutic development.

Gender, age at onset, and duration of being ill as predictors for the long-term course and outcome of schizophrenia: an international multicenter study

BACKGROUND

The aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia.

METHODS

Twenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 ± 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects.

RESULTS

There was a 3-year later age at onset for females (P < .001) and lower rates of negative symptoms (P < .01) and higher depression/anxiety measures (P < .05) at some stages. The age at onset manifested a distribution with a single peak for both genders with a tendency of patients with younger onset having slower advancement through illness stages (P = .001). No significant effects were found concerning duration of illness.

DISCUSSION

Our results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.

The mood disorder spectrum vs. schizophrenia decision tree: EDIPHAS research into the childhood and adolescence of 205 patients

BACKGROUND

The early detection of patients at risk of developing schizophrenia and bipolar disorder, and more broadly mood spectrum disorder, is a public health concern. The phenotypical overlap between the prodromes in these disorders calls for a simultaneous investigation into both illness trajectories.

METHOD

This is an epidemiological, retrospective, multicentre, descriptive study conducted in the Grand-Est region of France in order to describe and compare early symptoms in 205 patients: 123 of which were diagnosed with schizophrenia and 82 with bipolar disorder or mood spectrum disorder. Data corresponding to the pre-morbid and prodromal phases, including a timeline of their onset, were studied in child and adolescent psychiatric records via a data grid based on the literature review conducted from birth to 17 years of age.

RESULTS

Two distinct trajectories were highlighted. Patients with schizophrenia tended to present more difficulties at each developmental stage, with the emergence of negative and positive behavioural symptoms during adolescence. Patients with mood spectrum disorder, however, were more likely to exhibit anxiety and then mood-related symptoms. Overall, our results corroborate current literature findings and are consistent with the neurodevelopmental process. We succeeded in extracting a decision tree with good predictability based on variables relating to one diagnosis: 77.6% of patients received a well-indexed diagnosis. An atypical profile was observed in future mood spectrum disorder patients as some exhibited numerous positive symptoms alongside more conventional mood-related symptoms.

CONCLUSION

The combination of all these data could help promote the early identification of high-risk patients thereby facilitating early prevention and appropriate intervention in order to improve outcomes.

Genetic Predisposition to Schizophrenia and Depressive Disorder Comorbidity

Background: Patients with schizophrenia have an increased risk of depressive disorders compared to the general population. The comorbidity between schizophrenia and depression suggests a potential coincidence of the pathophysiology and/or genetic predictors of these mental disorders. The aim of this study was to review the potential genetic predictors of schizophrenia and depression comorbidity. Materials and Methods: We carried out research and analysis of publications in the databases PubMed, Springer, Wiley Online Library, Taylor & Francis Online, Science Direct, and eLIBRARY.RU using keywords and their combinations. The search depth was the last 10 years (2010–2020). Full-text original articles, reviews, meta-analyses, and clinical observations were analyzed. A total of 459 articles were found, of which 45 articles corresponding to the purpose of this study were analyzed in this topic review. Results: Overlap in the symptoms and genetic predictors between these disorders suggests that a common etiological mechanism may underlie the presentation of comorbid depression in schizophrenia. The molecular mechanisms linking schizophrenia and depression are polygenic. The most studied candidate genes are GRIN1, GPM6A, SEPTIN4, TPH1, TPH2, CACNA1C, CACNB2, and BCL9.Conclusion: Planning and conducting genome-wide and associative genetic studies of the comorbid conditions under consideration in psychiatry is important for the development of biological and clinical predictors and a personalized therapy strategy for schizophrenia. However, it should be recognized that the problems of predictive and personalized psychiatry in the diagnosis and treatment of schizophrenia and comorbid disorders are far from being resolved.

A computational lens on menopause-associated psychosis

Psychotic episodes are debilitating disease states that can cause extreme distress and impair functioning. There are sex differences that drive the onset of these episodes. One difference is that, in addition to a risk period in adolescence and early adulthood, women approaching the menopause transition experience a second period of risk for new-onset psychosis. One leading hypothesis explaining this menopause-associated psychosis (MAP) is that estrogen decline in menopause removes a protective factor against processes that contribute to psychotic symptoms. However, the neural mechanisms connecting estrogen decline to these symptoms are still not well understood. Using the tools of computational psychiatry, links have been proposed between symptom presentation and potential algorithmic and biological correlates. These models connect changes in signaling with symptom formation by evaluating changes in information processing that are not easily observable (latent states). In this manuscript, we contextualize the observed effects of estrogen (decline) on neural pathways implicated in psychosis. We then propose how estrogen could drive changes in latent states giving rise to cognitive and psychotic symptoms associated with psychosis. Using computational frameworks to inform research in MAP may provide a systematic method for identifying patient-specific pathways driving symptoms and simultaneously refine models describing the pathogenesis of psychosis across all age groups.

Impact of Comorbid Affective Disorders on Longitudinal Clinical Outcomes in Individuals at Ultra-high Risk for Psychosis

INTRODUCTION

Diagnoses of anxiety and/or depression are common in subjects at Ultra-High Risk for Psychosis (UHR) and associated with extensive functional impairment. Less is known about the impact of affective comorbidities on the prospective course of attenuated psychotic symptoms (APS).

METHOD

Latent class mixed modelling identified APS trajectories in 331 UHR subjects assessed at baseline, 6, 12, and 24 months follow-up. The prognostic value of past, baseline, and one-year DSM-IV depressive or anxiety disorders on trajectories was investigated using logistic regression, controlling for confounders. Cox proportional hazard analyses investigated associations with transition risk.

RESULTS

46.8% of participants fulfilled the criteria for a past depressive disorder, 33.2% at baseline, and 15.1% at one-year follow-up. Any past, baseline, or one-year anxiety disorder was diagnosed in 42.9%, 37.2%, and 27.0%, respectively. Participants were classified into one of three latent APS trajectory groups: (1) persistently low, (2) increasing, and (3) decreasing. Past depression was associated with a higher risk of belonging to the increasing trajectory group, compared to the persistently low (OR = 3.149, [95%CI: 1.298-7.642]) or decreasing group (OR = 3.137, [1.165-8.450]). In contrast, past (OR = .443, [.179-1.094]) or current (OR = .414, [.156-1.094]) anxiety disorders showed a trend-level association with a lower risk of belonging to the increasing group compared to the persistently low group. Past depression was significantly associated with a higher risk of transitioning to psychosis (HR = 2.123, [1.178-3.828]).

CONCLUSION

A past depressive episode might be a particularly relevant risk factor for an unfavorable course of APS in UHR individuals. Early affective disturbances may be used to advance detection, prognostic, and clinical strategies.

Cognitive behavioural therapy for help-seeking adolescents and young adults with at-risk-mental state: Effects on subclinical positive symptoms

AIM

Cognitive behavioural therapy (CBT) is effective for at-risk-mental state (ARMS) in reducing/delaying transition to psychosis. However, previous systematic reviews pointed out the small number of trials as a limitation and suggested that additional outcomes should be evaluated, not only prevention of first psychosis episode. No study assessed the CBT effects on subclinical psychotic symptoms. The present study investigated the effects of CBT on the transition risk (primary outcome), and on overall remission from ARMS and severity of subclinical symptoms, that is, unusual content of thought, non-bizarre ideas, perceptual abnormalities, disorganized speech (secondary outcome).

METHODS

CBT consisted of 30 individual weekly sessions over 7 months. Fifty-eight participants with ARMS detected by the Comprehensive Assessment of At-Risk-Mental States were randomized to CBT or control condition.

RESULTS

Respectively in the CBT and control groups, 1 (3.40%) and 5 (26.31%) participants at post-treatment and 3 (10.30%) and 8 (42.10%) at follow-up made transition with a difference between the two groups, despite at borderline significance. At post-treatment and follow-up, respectively, the number of participants recovered from ARMS was significantly higher in CBT (76.92% and 61.53%) than in control (10.52% and 15.80%). Participants in the control group reported lower reductions on all the subclinical symptoms over time as compared with those in CBT.

CONCLUSIONS

This is the first study assessing CBT on subclinical positive symptoms in ARMS. CBT seems to be a tailored approach able to produce short- and long-term benefits on this outcome.

Genetic risks of schizophrenia identified in a matched case-control study

It has been suggested that dopaminergic neurotransmission plays important roles for the psychotic symptoms and probably etiology of schizophrenia. In our recent preliminary study, we demonstrated that the specific allele combinations of dopamine-related functional single nucleotide polymorphisms (SNPs), rs10770141, rs4680, and rs1800497 could indicate risks for schizophrenia. The present validation study involved a total of 2542 individuals who were age- and sex-matched in a propensity score matching analysis, and the results supported the statistical significances of the proposed genetic risks described in our previous reports. The estimated odds ratios were 1.24 (95% CI 1.06-1.45, p < 0.001) for rs4680, 1.73 (95% CI 1.47-2.02, p < 0.0001) for rs1800497, and 1.79 (95% CI 1.35-2.36, p < 0.0001) for rs10770141. A significant relationship was also revealed among these three polymorphisms and schizophrenia, with corresponding coefficients (p < 0.0001). In this study, we also present a new scoring model for the identification of individuals with the disease risks. Using the cut-off value of 2, our model exhibited sensitivity for almost two-thirds of all of the schizophrenia patients: odds ratio 1.87, 95% CI 1.59-2.19, p < 0.0001. In conclusion, we identified significant associations of dopamine-related genetic combinations with schizophrenia. These findings suggest that some types of dopaminergic neurotransmission play important roles for development of schizophrenia, and this type of approach may also be applicable for other multifactorial diseases, providing a potent new risk predictor.

Hospital Presentation for Self-Harm in Youth as a Risk Marker for Later Psychotic and Bipolar Disorders: A Cohort Study of 59 476 Finns

Expanding clinical strategies to identify high risk groups for psychotic and bipolar disorders is a research priority. Considering that individuals diagnosed with psychotic and bipolar disorder are at high risk of self-harm, we hypothesised the reverse order relationship would also be true (ie, self-harm would predict psychotic/bipolar disorder). Specifically, we hypothesised that hospital presentation for self-harm would be a marker of high risk for subsequent development of psychotic/bipolar disorder and sought to test this hypothesis in a large population sample. This prospective register-based study included everyone born in Finland in 1987, followed until age 28 years (N = 59 476). We identified all hospital records of self-harm presentations, as well as all ICD-10 healthcare registrations of first diagnoses of psychotic and bipolar disorders. Cox proportional hazards models were used to assess the relationship between self-harm and psychotic/bipolar disorders. Of all individuals who presented to hospital with self-harm (n = 481), 12.8% went on to receive a diagnosis of psychosis (hazard ratio [HR] = 6.03, 95% confidence interval [CI] 4.56-7.98) and 9.4% a diagnosis of bipolar disorder (HR = 7.85, 95% CI 5.73-10.76) by age 28 years. Younger age of first self-harm presentation was associated with higher risk-for individuals who presented before age 18 years, 29.1% developed a psychotic or bipolar disorder by age 28 years. Young people who present to hospital with self-harm are at high risk of future psychotic and bipolar disorders. They represent an important cohort for the prevention of serious mental illness.

Exploring the Psychometric Properties and the Factor Structure of the Calgary Depression Scale for Schizophrenia Across the Schizotypy Continuum

This study evaluated the psychometric properties and factor structure of the Calgary Depression Scale for Schizophrenia (CDSS) across different levels of the schizotypy continuum. A combined sample of high-schizotypy, at-risk mental states, and patients with first-episode psychosis was assessed for depression and other clinical and functional outcomes. Additionally, experience sampling methodology was used to assess depressive and psychotic-like experiences in daily life. The CDSS exhibited solid internal consistency, validity, and discrimination between depressed and nondepressed participants. Confirmatory factor analyses and the associations of the resulting factors with clinical and functional measures supported a two-factor structure that included general depression and guilt factors. Furthermore, both factors of the CDSS were differentially related to positive and negative symptoms of psychosis in daily life. The CDSS appears to have two underlying psychopathological dimensions and to be a reliable and valid measure for assessing depression across the schizotypy continuum.

Timing, Distribution, and Relationship Between Nonpsychotic and Subthreshold Psychotic Symptoms Prior to Emergence of a First Episode of Psychosis

Prospective population studies suggest that psychotic syndromes may be an emergent phenomenon-a function of severity and complexity of more common mental health presentations and their nonpsychotic symptoms. Examining the relationship between nonpsychotic and subthreshold psychotic symptoms in individuals who later developed the ultimate outcome of interest, a first episode of psychosis (FEP), could provide valuable data to support or refute this conceptualization of how psychosis develops. We therefore conducted a detailed follow-back study consisting of semistructured interviews with 430 patients and families supplemented by chart reviews in a catchment-based sample of affective and nonaffective FEP. The onset and sequence of 27 pre-onset nonpsychotic (NPS) or subthreshold psychotic (STPS) symptoms was systematically characterized. Differences in proportions were analyzed with z-tests, and correlations were assessed with negative binomial regressions. Both the first psychiatric symptom (86.24% NPS) and the first prodromal symptom (66.51% NPS) were more likely to be NPS than STPS. Patients reporting pre-onset STPS had proportionally more of each NPS than did those without pre-onset STPS. Finally, there was a strong positive correlation between NPS counts (reflecting complexity) and STPS counts (β = 0.34, 95% CI [0.31, 0.38], P < 2 e-16). Prior to a FEP, NPS precede STPS, and greater complexity of NPS is associated with the presence and frequency of STPS. These findings complement recent arguments that the emergence of psychotic illness is better conceptualized as part of a continuum-with implications for understanding pluripotential developmental trajectories and strengthening early intervention paradigms.

Self-Schemas and Self-Esteem Discrepancies in Subclinical Paranoia: The Essential Role of Depressive Symptoms

Background : Self-concepts are being intensively investigated in relation to paranoia, but research has shown some contradictory findings. Studying subclinical phenomena in a non-clinical population should allow for a clearer understanding given that clinical confounding factors are avoided. We explored self-esteem, self-schemas, and implicit/explicit self-esteem discrepancies in three non-clinical groups with different psychopathological traits and a control group. Methods: Participants with elevated trait-paranoia (n = 41), depressive symptoms (n = 34), a combination of both traits (n = 32), and a control group (n = 71) were assessed on implicit and explicit self-esteem, self-schemas, depression, and paranoia. A dimensional approach with the total sample (n = 208) was also used to complement the information provided by the group approach. Results: All groups presented similar and positive levels of implicit self-esteem. Trait-paranoia participants had similar levels of explicit self-esteem and self-schemas compared with the control group. However, the group with a combination of trait-paranoia and depressive symptoms showed the lowest levels of positive self-schemas and self-esteem. Furthermore, this group and the control group displayed implicit/explicit self-esteem discrepancies, although in opposite directions and with different implications. The dimensional approach revealed associations of trait-paranoia and depressive symptoms with poor explicit self-esteem and self-schemas but not with implicit self-esteem. Conclusions: Trait-paranoia participants showed different self-representations depending on whether depressive symptoms were present or not. The interaction between subclinical neurotic and psychotic traits entailed a detrimental self-representation that might increase the risk for psychopathology.

Social decline in the psychosis prodrome: Predictor potential and heterogeneity of outcome

BACKGROUND

While an established clinical outcome of high importance, social functioning has been emerging as possibly having a broader significance to the evolution of psychosis and long term disability. In the current study we explored the association between social decline, conversion to psychosis, and functional outcome in individuals at clinical high risk (CHR) for psychosis.

METHODS

585 subjects collected in the North American Prodrome Longitudinal Study (NAPLS2) were divided into 236 Healthy Controls (HCs), and CHR subjects that developed psychosis (CHR + C, N = 79), or those that did not (Non-Converters, CHR-NC, N = 270). CHR + C subjects were further divided into those that experienced an atypical decline in social functioning prior to baseline (beyond typical impairment levels) when in min-to-late adolescence (CHR + C-SD, N = 39) or those that did not undergoing a decline (CHR + C-NSD, N = 40).

RESULTS

Patterns of poor functional outcomes varied across the CHR subgroups: CHR-NC (Poor Social 36.3%, Role 42.2%) through CHR + C-NSD (Poor Social 50%, Poor Role 67.5%) to CHR + C-SD (Poor Social 76.9%, Poor Role 89.7%) functioning. The two Converter subgroups had comparable positive symptoms at baseline. At 12 months, the CHR + C-SD group stabilized, but social functioning levels remained significantly lower than the other two subgroups.

CONCLUSIONS

The current study demonstrates that pre-baseline social decline in mid-to-late adolescence predicts psychosis. In addition, we found that this social decline in converters is strongly associated with especially poor functional outcome and overall poorer prognosis. Role functioning, in contrast, has not shown similar predictor potential, and rather appears to be an illness indicator that worsens over time.

Neuropsychological profile of children and adolescents with psychosis risk syndrome: the CAPRIS study

Neuropsychological underperformance is well described in young adults at clinical high risk for psychosis, but the literature is scarce on the cognitive profile of at-risk children and adolescents. The aim of this study is to describe the neuropsychological profile of a child and adolescent sample of patients with psychosis risk syndrome (PRS) compared to healthy controls and to analyze associations between attenuated psychotic symptoms and cognitive impairment. Cross-sectional baseline data analysis from a longitudinal, naturalistic, case-control, two-site study is presented. Eighty-one help-seeking subjects with PRS and 39 healthy controls (HC) aged between 10 and 17 years of age were recruited. PRS was defined by: positive or negative attenuated symptoms, Brief Limited Intermittent Psychotic Symptoms (BLIPS), genetic risk (first- or second-degree relative), or schizotypal personality disorder plus impairment in functioning. A neuropsychological battery was administered to assess general intelligence, verbal and visual memory, visuospatial abilities, speed processing, attention, and executive functions. The PRS group showed lower general neuropsychological performance scores at a multivariate level and lower scores than controls in general intelligence and executive functions. Lower scores on executive function and poorer attention were associated with high scores of positive attenuated psychotic symptoms. No association with attenuated negative symptoms was found. This study provides evidence of cognitive impairment in PRS children and adolescents and shows a relationship between greater cognitive impairment in executive functions and attention tasks and severe attenuated positive symptoms. However, longitudinal studies are needed to clarify the nature of cognitive impairment as a possible vulnerability marker.

The impact of sex and cannabis on clinical features in first-admitted patients with psychosis

There is a scarcity of studies investigating the effect of sex on the clinical and treatment characteristics of first-admitted patients with first-episode psychosis (FEP). The reasons for using cannabis and the effect of cannabis on clinical features have not received enough attention either. We aim therefore, to investigate sex differences in the reasons for cannabis use and to determine the effects of sex, cannabis use and their interaction on clinical variables at admission and at discharge from the inpatient unit. 204 first-admitted FEPs in two inpatient units in Spain were included. The reasons for using cannabis were determined using the Dixon questionnaire. Clinical variables were compared between sexes and between cannabis users and non-users. Cannabis use was more frequent in males, but females were more likely to smoke cannabis to "feel relaxed". There was a main effect of sex on positive psychotic symptoms and antipsychotics dose and an interaction effect of cannabis and sex on global functioning at discharge .Our findings show sex differences in the reasons for cannabis use and in some clinical and treatment characteristics among FEP patients. More studies focusing on gender perspectives are needed to develop more individualized treatments.

Childhood maltreatment and treatment outcome in psychotic disorders: a systematic review and meta-analysis

OBJECTIVE

Childhood maltreatment (CM) plays an important role in the aetiology and course of psychotic disorders and is associated with characteristics that could be relevant for treatment. We aimed to conduct a systematic review and meta-analysis on the association between CM and treatment outcome in psychotic disorders.

METHODS

Treatment outcome was defined as change in psychotic symptoms or in social or occupational functioning between first and last reported measurement in the course of a pharmacological and/or psychological treatment.

RESULTS

Twelve treatment results from seven studies (636 patients, average treatment duration: 59.2 weeks) were included. CM was related to poorer treatment outcomes in psychotic disorders (OR = 1.51, 95% CI = [1.08, 2.10]). There is evidence that this association might increase with illness duration and increasing age and might be stronger in schizophrenia samples.

CONCLUSIONS

Childhood maltreatment is highly understudied with regard to treatment outcome in psychotic disorders. The need for more studies is emphasized by the fact that this meta-analysis reveals evidence for a poorer treatment response in patients with CM. If this association is confirmed, the identification of patients with CM and the consideration of associated clinical and biological conditions could contribute to improve treatment outcome in psychotic disorders.

Post-psychotic depression: Paranoia and the damage done

To mitigate the often chronic course of schizophrenia and improve functional outcome, researchers are increasingly interested in prodromal states and psychological risk factors that may predict the outbreak of psychotic symptoms, but are also amenable to change. In recent years, depressive symptoms have been proposed as precursors of psychosis and some interventional studies indicate that the amelioration of depressive symptoms and depression-related thinking styles (e.g., worrying) improves positive symptoms, thereby "killing two birds with one stone". Yet, in a prior study, we were unable to find a strong specific predictive role of depression on paranoia over three years, which may have been due to the use of a nonclinical sample with minimal/mild symptom fluctuations. To address this further, in the present study we adopted a similar methodological approach but assessed a large patient sample with a schizophrenia spectrum disorder at three assessment points; baseline (N = 250), 6 weeks later (n = 207, 82.8% retention) and 6 months after baseline (n = 185, 74% retention). Using cross-lagged modeling, we assessed paranoia with the respective items from the Positive and Negative Syndrome Scale (PANSS) and the Psychosis Rating Scales (PSYRATS) delusions subscale. Depression was measured using the Patient Health Questionnaire-9 (PHQ-9) and the Calgary Depression Scale for Schizophrenia (CDSS). We could identify a significant pathway from depression to paranoia from baseline to post (negative association) but not from post to follow-up. Paranoia significantly predicted depressive symptoms for both intervals. Our findings do not refute claims that depression may precede or even predict psychosis, but such a linkage does not seem to be ubiquitous.

The Global Functioning: Social and Role Scales-Further Validation in a Large Sample of Adolescents and Young Adults at Clinical High Risk for Psychosis

OBJECTIVE

Traditional measures for assessing functioning with adult patients with schizophrenia have been shown to be insufficient for assessing the issues that occur in adolescents and young adults at clinical high risk (CHR) for psychosis. The current study provides an expanded validation of the Global Functioning: Social (GF:Social) and Role (GF:Role) scales developed specifically for use with CHR individuals and explores the reliability and accuracy of the ratings, the validity of the scores in comparison to other established clinical measures, stability of functioning over a 2-year period, and psychosis predictive ability.

METHODS

Seven hundred fifty-five CHR individuals and 277 healthy control (HC) participants completed the GF:Social and Role scales at baseline as part of the North American Prodrome Longitudinal Study (NAPLS2).

RESULTS

Inter-rater reliability and accuracy were high for both scales. Correlations between the GF scores and other established clinical measures demonstrated acceptable convergent and discriminant validity. In addition, GF:Social and Role scores were unrelated to positive symptoms. CHR participants showed large impairments in social and role functioning over 2-years, relative to the HCs, even after adjusting for age, IQ, and attenuated positive symptoms. Finally, social decline prior to baseline was more pronounced in CHR converters, relative to non-converters.

CONCLUSIONS

The GF scales can be administered in a large-scale multi-site study with excellent inter-rater reliability and accuracy. CHR individuals showed social and role functioning impairments over time that were not confounded by positive symptom severity levels. The results of this study demonstrate that social decline is a particularly effective predictor of conversion outcome.

From Onset and Prodromal Stage to a Life-Long Course of Schizophrenia and Its Symptom Dimensions: How Sex, Age, and Other Risk Factors Influence Incidence and Course of Illness

The core symptoms of psychosis-delusions, hallucinations, and thought disorders-are not unique to the disorder traditionally called schizophrenia. They occur at the early stages of various brain diseases, too. Psychosis seems to be a preformed pattern of response of the human brain. Most schizophrenia onsets are marked by a prodromal stage extending over several years and producing the maximum of social consequences. Schizophrenia incidence shows a steep increase culminating at age 15 to 25 years in males. In females it reaches a first peak at age 15 to 30 years and a second, flatter peak at menopausal age (44-49 years). Thereafter, incidence declines to a plateau at later ages. Unlike what the findings of most large-scale epidemiological studies applying an upper age limit of 45 to 55 years suggest, schizophrenia is a disorder of all ages. The lifetime risk seems to be the same for both sexes. The lower incidence in premenopausal women is accounted for by the downregulating effect of oestrogen on dopamine receptors. This hormonal protective effect is antagonised by the genetic effect of a high familial load. In the long-term illness course, right-censored to 11.2 years following first admission, the number of psychotic relapse episodes ranges from 0 to 29 with a mean of 3. The positive symptom dimension produces the highest number of relapses and the shortest duration of exacerbations with a mean length of two months. The depressive and negative symptom dimensions show exacerbations extending over nearly six months on average. Following the first illness episode symptom scores decline sharply, reaching a plateau five years after first admission. Negative symptoms come to a plateau after 2 to 3 years in females and after 5 years in males. Depression is the most frequent type of symptom in the long-term course. In the light of these results urgent treatment issues will be discussed.

Cognitive behavioural therapy for worry in young individuals with at-risk mental states: a preliminary investigation

Cognitive behavioural therapy (CBT) is a first-line strategy in reducing or delaying risk of transition to psychosis among young individuals with at-risk mental states (ARMS). However, there is little knowledge about its effects on other outcomes associated with ARMS. No study on CBT for ARMS has assessed worry, an important process associated with this condition. The present study investigated changes in worry at immediate post-treatment and 14-month follow-up after CBT for young individuals with ARMS seeking psychiatric care in mental health services. Thirty-seven young individuals (mean age = 26 years, SD = 6.07; 22.20% female) seeking psychiatric care in mental health services and classified as reporting ARMS through the Comprehensive Assessment of At-Risk Mental States were included. The Positive And Negative Syndrome Scales (PANSS) and Penn State Worry Questionnaire (PSWQ) were administered at baseline, post-treatment, and follow-up. CBT consisted of 30 weekly individual 1-hour sessions based on a validated CBT for ARMS manual enriched with components targeting worry [psychoeducation, problem-solving, (meta)cognitive restructuring, behavioural experiments]. Seven participants (18.91%) at follow-up had cumulatively made transition to psychosis. Repeated measures ANOVA with post-hoc pairwise comparisons showed significant changes in PSWQ scores from baseline to post-treatment and from baseline to follow-up; PSWQ scores remained stable from post-treatment to follow-up. This is the first study investigating changes in worry after CBT for ARMS, which appears to be a promising strategy also for this outcome. Future research with a larger sample size and control group may determine whether changes in worry are also associated with reduced transition risk.

Key learning aims

(1)

The Relationship Between Course of Illness and β-Endorphin Plasma Levels in Patients with Schizophrenia

OBJECTIVE

Extensive investigations have been conducted into predictors of schizophrenia outcome. The heterogeneity of the illness implies that many factors should be taken into account. Some studies have reported the relationship between increased β-endorphin concentration and predominant negative symptoms.

METHODS

We included 77 outpatients with schizophrenia and 74 healthy controls. Data referring to duration and course of illness, hospitalization number and treatment were collected on the basis of clinical interviews and medical documentation analysis. The β-endorphin concentrations were assessed once in all participants, at the onset of the study.

RESULTS

A chronic course of illness was found in 44 of the 77 schizophrenics. Patients with schizophrenia, especially those with a chronic course of illness, revealed significantly higher β-endorphin concentrations than those with an episodic course and controls (mean 29.70 vs 19.86 pmol/L; p=0.0001). Increased levels of β-endorphin were related to longer duration of illness (R=0.294, p=0.009) and frequent psychiatric hospitalization (R=0.346, p=-0.002).

CONCLUSION

Endorphins may be potential biological predictors of persistent negative symptoms and final outcome in schizophrenia.

Association of Pre-onset Subthreshold Psychotic Symptoms With Longitudinal Outcomes During Treatment of a First Episode of Psychosis

IMPORTANCE

The clinical high-risk state in psychosis is most often characterized by subthreshold psychotic symptoms (STPS) and represents a target for psychosis prevention. However, evidence suggests that between 30% and 50% of patients with a first episode of psychosis (FEP) report no prior history of STPS, indicating that not all patients with FEP experience a previous clinical high-risk phase. As with other early characteristics of illness onset, this diversity in the early course of symptoms may offer prognostic value for subsequent clinical trajectories.

OBJECTIVE

To determine whether a history of pre-onset STPS is associated with differential 1-year treatment outcomes in an early intervention service for FEP.

DESIGN, SETTING, AND PARTICIPANTS

Data on 195 patients 15 to 35 years of age who were recruited between January 17, 2003, and October 17, 2013, were collected from a catchment-based specialized early intervention service for FEP. Patients who reported experiencing at least 1 STPS prior to the onset of FEP were identified as STPS present (STPSp; n = 135); those who reported no such history were identified as STPS absent (STPSa; n = 60). Statistical analysis was conducted from December 15, 2016, to February 15, 2018.

MAIN OUTCOMES AND MEASURES

Summary scores on the Scale for the Assessment of Positive Symptoms and the Scale for the Assessment of Negative Symptoms, Calgary Depression Scale for Schizophrenia, Hamilton Anxiety Rating Scale, Global Assessment of Functioning scores, and Social and Occupational Functioning Assessment Scale scores at baseline and after 1 year of treatment were analyzed to evaluate 1-year outcomes.

RESULTS

Individuals in the STPSp group (39 female and 96 male participants; mean [SD] age, 23.4 [4.2] years) and the STPSa group (20 female and 40 male participants; mean [SD] age, 23.9 [5.1] years) did not differ in symptom severity or functioning at baseline. Although both groups improved by 1 year of treatment, mixed analyses of covariance (controlling for duration of untreated psychosis) revealed group-by-time interactions for scores on the Scale for the Assessment of Negative Symptoms (F1,192 = 6.17; P = .01), the Global Assessment of Functioning (F1,188 = 7.54; P = .006), and the Social and Occupational Functioning Assessment Scale (F1,192 = 3.79; P = .05). Mixed analyses of covariance also revealed a group effect for scores on the Scale for the Assessment of Positive Symptoms (F1,192 = 5.31; P = .02). After controlling for multiple comparisons, all significant results indicate poorer 1-year outcomes for patients with STPSp compared with patients with STPSa.

CONCLUSIONS AND RELEVANCE

A history of pre-onset STPS consistent with a prior clinical high-risk state is associated with poorer outcomes in psychotic symptoms and global functioning for patients after 1 year of treatment for FEP. The presence or absence of pre-onset STPS therefore has prognostic value for treatment outcomes, even during a later stage of psychotic illness.

Clinical Correlates of Insulin Resistance in Chronic Schizophrenia: Relationship to Negative Symptoms

Higher prevalence of physical comorbidity and premature mortality in persons with schizophrenia (PwS) results primarily from heightened cardiovascular and metabolic risks. The literature suggests that insulin resistance precedes the development of obesity, smoking, and use of antipsychotic medications, although these likely play a compounding role later in the course of the disorder. It is thus important to discover the clinical characteristics of PwS with high insulin resistance, as these individuals may represent an etiopathologically distinct subgroup with a distinct course and treatment needs. We conducted a cross-sectional study and compared insulin resistance between 145 PwS and 140 nonpsychiatric comparison (NC) participants, similar in age, sex, and race distribution. In addition, we examined correlates of insulin resistance in PwS. As expected, PwS had higher levels of insulin resistance [Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)] and body mass index (BMI) compared to the NC participants. HOMA-IR in the PwS was most associated with negative symptoms, BMI, and non-White race/ethnicity. The mechanistic relationships between insulin resistance and negative symptoms in schizophrenia patients warrant further investigation, and future studies should examine outcomes of PwS with this cluster of physical and mental symptoms and determine how management of insulin resistance might improve health of these individuals.

Premorbid adjustment in individuals at ultra-high risk for developing psychosis: a case-control study

AIM

Deterioration in premorbid adjustment is related to ultra-high risk (UHR) individuals developing psychosis, but it has not been examined how UHR individuals' development differs compared to healthy controls. This study investigates differences in premorbid adjustment between UHR individuals and a healthy control group.

METHOD

A total of 48 UHR individuals and 50 healthy controls matched on group level for age, gender and parents' socio-economic status were included in the study. Both groups were assessed with the Premorbid Adjustment Scale (PAS). Based on the PAS scores, composite social and academic scales were computed.

RESULTS

Compared to the healthy controls the UHR individuals' social and academic premorbid adjustment declined across age periods. Social premorbid adjustment declined particularly between late adolescence and adulthood. Academic premorbid adjustment declined particularly between childhood and early adolescence. The UHR individuals had more premorbid adjustment difficulties on both the social and academic scale, and on the individual PAS scales.

CONCLUSION

From childhood UHR individuals have lower levels of social and academic premorbid adjustment compared to healthy controls, and the difficulties increase with age. As such, social and academic premorbid adjustment could be an important focus for early intervention.

Shifts in positive and negative psychotic symptoms and anger: effects on violence

BACKGROUND

Changes in positive and negative symptom profiles during acute psychotic episodes may be key drivers in the pathway to violence. Acute episodes are often preceded by fluctuations in affect before psychotic symptoms appear and affective symptoms may play a more important role in the pathway than previously recognised.

METHODS

We carried out a prospective cohort study of 409 male and female patients discharged from medium secure services in England and Wales to the community. Measures were taken at baseline (pre-discharge), 6 and 12 months post-discharge using the Positive and Negative Syndrome Scale. Information on violence was obtained using the McArthur Community Violence Instrument and Police National Computer.

RESULTS

The larger the shift in positive symptoms the more likely violence occurred in each 6-month period. However, shifts in angry affect were the main driving factor for positive symptom shifts associated with violence. Shifts in negative symptoms co-occurred with positive and conveyed protective effects, but these were overcome by co-occurring shifts in anger. Severe but stable delusions were independently associated with violence.

CONCLUSIONS

Intensification of angry affect during acute episodes of psychosis indicates the need for interventions to prevent violence and is a key driver of associated positive symptoms in the pathway to violence. Protective effects against violence exerted by negative symptoms are not clinically observable during symptom shifts because they are overcome by co-occurring anger.

The moderating role of cognitive biases on the relationship between negative affective states and psychotic-like experiences in non-clinical adults

Negative emotions and cognitive biases are important factors underlying psychotic symptoms and psychotic-like experiences (PLEs); however, it is not clear whether these factors interact when they influence psychotic phenomena. The aim of our study was to investigate whether psychosis-related cognitive biases moderate the relationship between negative affective states, i.e. anxiety and depression, and psychotic-like experiences. The study sample contains 251 participants who have never been diagnosed with psychiatric disorders. Anxiety, depression, cognitive biases, and psychotic-like experiences were assessed with self-report questionnaires. A moderation analysis was performed to examine the relationship between the study variables. The analyses revealed that the link between anxiety and positive PLEs is moderated by External Attribution bias, whereas the relationship between depression and positive PLEs is moderated by Attention to Threat bias. Attributional bias was also found to moderate the association between depression and negative subclinical symptoms; Jumping to Conclusions bias served as a moderator in the link between anxiety and depression and negative PLEs. Further studies in clinical samples are required to verify the moderating role of individual cognitive biases on the relationship between negative emotional states and full-blown psychotic symptoms.

A longitudinal mediation analysis of the effect of negative-self-schemas on positive symptoms via negative affect

BACKGROUND

Cognitive models postulate that negative-self-schemas (NSS) cause and maintain positive symptoms and that negative affect mediates this link. However, only few studies have tested the temporal mediation claim systematically using an appropriate design.

METHODS

A longitudinal cohort design in an online community sample (N = 962) from Germany, Indonesia, and the USA was used. NSS, negative affect and positive symptoms were measured at four time-points (T0-T3) over a 1-year period. Cross-lagged panel and longitudinal mediation analyses with structural equation modeling were used to test the temporal mediation.

RESULTS

Independent cross-lagged panel models showed a significant unidirectional longitudinal path from NSS to positive symptoms (T2-T3, β = 0.18, p < 0.01) and bidirectional longitudinal associations from NSS to negative affect (T0-T1, γ = 0.14, p < 0.01) and vice versa (T0-T1, γ = 0.19, p < 0.01). There was also a significant indirect pathway from NSS at baseline via negative affect at T1 and T2 to positive symptoms at T3 (unstandardized indirect effect coefficient = 0.020, p < 0.05, BCa CI 0.004-0.035), indicating mediation.

CONCLUSIONS

Our findings support the postulated affective pathway from NSS to positive symptoms via negative affect. Specifically, our data indicate that NSS and negative affect influence each other and build up over the course of several months before leading on to positive symptoms. We conclude that interrupting this process by targeting NSS and negative affect early in the process could be a promising strategy to prevent the exacerbation of positive symptoms.

The early recognition inventory ERIraos assesses the entire spectrum of symptoms through the course of an at-risk mental state

AIM

Functional disability and social consequences frequently occur at the prodromal stage of schizophrenia. Efforts to recognize an increasing risk of psychosis onset have thus become a topical issue worldwide. This is to introduce the English version of the ERIraos early-recognition inventory.

METHODS

The ERIraos, developed in a systematic, empirical approach from the Instrument for the Retrospective Assessment of the Onset of Schizophrenia, incorporates basic symptoms from the Cologne Early Recognition Study. The research version also includes as further predictive items so-called brief limited intermittent psychotic symptoms and attenuated psychotic symptoms from the Comprehensive Assessment of At-Risk Mental States instrument.

RESULTS

The ERIraos with its 15-item screening Checklist and 50-item Symptom List permits early recognition of psychosis risk in three steps of decreasing sensitivity and increasing specificity. Step 1 relies on patients' self-perception of symptoms, which prompt them to contact a primary health service. There, in Step 2, at-risk individuals are identified using the Checklist, characterized by a low-risk threshold, and referred to further examination using the Symptom List (Step 3). Information on symptom accumulation and increasing symptom severity enhances the instrument's predictive power. In a validation test, psychotic transitions increased linearly up to 50% over 2 years. Compared with other instruments and on the prodromal stage of depressive disorder, the ERIraos has shown good predictive capacity.

CONCLUSIONS

The ERIraos has been successfully employed as a two-step tool for the early recognition of psychosis risk in several German studies and translated into several foreign languages.

Symptom fluctuations, self-esteem, and cohesion during group cognitive behaviour therapy for early psychosis

Group cohesion has been linked to positive changes in self-esteem and in symptoms during group psychotherapy in people with psychosis. These changes may be linked to changes in symptoms as fluctuations in self-esteem have been linked to symptom fluctuations.

OBJECTIVE

We aimed to determine the relationship between these three factors - group cohesion, self-esteem, and symptoms - during group cognitive behaviour therapy for psychosis (GCBTp). We hypothesized that group cohesion would precede changes in symptoms and self-esteem and that improvements in self-esteem would precede improvements in symptoms.

DESIGN

This is an uncontrolled longitudinal study recruiting from a convenience sample within two early psychosis clinics.

METHODS

Sixty-six individuals from first episode of psychosis treatment programmes participated in this study and received 24 sessions of a validated GCBTp protocol. Participants answered a brief questionnaire at the end of each session, measuring their group cohesion, self-esteem, and perception of their symptoms as worse, same, or better than usual.

RESULTS

Orthogonal polynomial contrasts for time effects were estimated with a mixed model for repeated measures with a random cluster effect and revealed a quartic trend regarding changes in symptoms over the 24 sessions. Self-esteem, symptoms, and group cohesion were strongly linked during a given session. Also, self-esteem changes predicted changes in symptoms up to two sessions later, and symptoms changes predicted self-esteem changes at the next session. Group cohesion preceded improvements in both self-esteem and symptoms; self-esteem also predicted improvements in group cohesion.

CONCLUSION

These results suggest that self-esteem and symptoms influence each other during therapy, with improvements in one leading to improvements in the other. Group cohesion also appears to be an essential prerequisite to positive changes in self-esteem and symptoms during GCBTp.

PRACTITIONER POINTS

This study emphasizes the interrelation between self-esteem improvements and symptom improvements, with improvements in one leading to improvements in the other, during group CBT for psychosis. Group cohesion, in this study, is a predictor of self-esteem and symptom improvements, suggesting that a special attention should be given to developing a strong alliance and group cohesion early on during CBT for psychosis.

Attention-deficit hyperactivity disorder and nonsuicidal self-injury in a clinical sample of adolescents: the role of comorbidities and gender

BACKGROUND

The aim of the present study was to investigate the possible association between attention-deficit hyperactivity disorder (ADHD) and non-suicidal self-injury (NSSI) with special focus on the role of comorbidities and gender in a clinical sample of adolescents with both a dimensional and a categorical approach to psychopathology.

METHODS

Using a structured interview, the Mini International Neuropsychiatric Interview Kid and a self-rated questionnaire, the Deliberate Self-Harm Inventory, the authors examined 202 inpatient adolescents (aged: 13-18 years) in the Vadaskert Child and Adolescent Psychiatric Hospital and Outpatient Clinic, Budapest, Hungary. Descriptive statistics, Mann-Whitney U test, chi-square test and mediator model were used.

RESULTS

Fifty-two adolescents met full criteria for ADHD and a further 77 showed symptoms of ADHD at the subthreshold level. From the 52 adolescents diagnosed with ADHD, 35 (67.30%) had NSSI, of whom there were significantly more girls than boys, boys: n = 10 (28.60%), girls: n = 25 (71.40%) ((χ²(1) = 10.643 p < .001 ϕ = .452). Multiple mediation analyses resulted in a moderated mediation model in which the relationship between symptoms of ADHD and the prevalence of current NSSI was fully mediated by the symptoms of comorbid conditions in both sex. Significant mediators were the symptoms of affective and psychotic disorders and suicidality in both sexes and the symptoms of alcohol abuse/dependence disorders in girls.

CONCLUSIONS

ADHD symptoms are associated with an increased risk of NSSI in adolescents, especially in the case of girls. Our findings suggest that clinicians should routinely screen for the symptoms of ADHD and comorbidity, with a special focus on the symptoms of affective disorders and alcohol abuse/dependence psychotic symptoms to prevent NSSI.

Latent Profile Analysis and Conversion to Psychosis: Characterizing Subgroups to Enhance Risk Prediction

BACKGROUND

Groups at clinical high risk (CHR) of developing psychosis are heterogeneous, composed of individuals with different clusters of symptoms. It is likely that there exist subgroups, each associated with different symptom constellations and probabilities of conversion.

METHOD

Present study used latent profile analysis (LPA) to ascertain subgroups in a combined sample of CHR (n = 171) and help-seeking controls (HSCs; n = 100; PREDICT study). Indicators in the LPA model included baseline Scale of Prodromal Symptoms (SOPS), Calgary Depression Scale for Schizophrenia (CDSS), and neurocognitive performance as measured by multiple instruments, including category instances (CAT). Subgroups were further characterized using covariates measuring demographic and clinical features.

RESULTS

Three classes emerged: class 1 (mild, transition rate 5.6%), lowest SOPS and depression scores, intact neurocognitive performance; class 2 (paranoid-affective, transition rate 14.2%), highest suspiciousness, mild negative symptoms, moderate depression; and class 3 (negative-neurocognitive, transition rate 29.3%), highest negative symptoms, neurocognitive impairment, social cognitive impairment. Classes 2 and 3 evidenced poor social functioning.

CONCLUSIONS

Results support a subgroup approach to research, assessment, and treatment of help-seeking individuals. Class 3 may be an early risk stage of developing schizophrenia.

The Effect of Cognitive Behavioral Interventions on Depression and Anxiety Symptoms in Patients with Schizophrenia Spectrum Disorders: A Systematic Review

Depression and anxiety are prominent comorbid disorders in psychosis and relevant to psychotic symptom formation and maintenance. This poses the question of whether psychological interventions are effective in improving symptoms of depression and anxiety in patients with psychosis. A systematic review of the literature identified 14 studies evaluating a broad range of interventions targeting depression, anxiety, and posttraumatic stress disorder in patients with psychosis. The reviewed studies support the effectiveness of cognitive-behavioral interventions in improving the target symptoms. Further research is needed to examine whether the effects carry over to psychotic symptoms in the long term.

On the integrity of functional brain networks in schizophrenia, Parkinson's disease, and advanced age: Evidence from connectivity-based single-subject classification

Previous whole-brain functional connectivity studies achieved successful classifications of patients and healthy controls but only offered limited specificity as to affected brain systems. Here, we examined whether the connectivity patterns of functional systems affected in schizophrenia (SCZ), Parkinson's disease (PD), or normal aging equally translate into high classification accuracies for these conditions. We compared classification performance between pre-defined networks for each group and, for any given network, between groups. Separate support vector machine classifications of 86 SCZ patients, 80 PD patients, and 95 older adults relative to their matched healthy/young controls, respectively, were performed on functional connectivity in 12 task-based, meta-analytically defined networks using 25 replications of a nested 10-fold cross-validation scheme. Classification performance of the various networks clearly differed between conditions, as those networks that best classified one disease were usually non-informative for the other. For SCZ, but not PD, emotion-processing, empathy, and cognitive action control networks distinguished patients most accurately from controls. For PD, but not SCZ, networks subserving autobiographical or semantic memory, motor execution, and theory-of-mind cognition yielded the best classifications. In contrast, young-old classification was excellent based on all networks and outperformed both clinical classifications. Our pattern-classification approach captured associations between clinical and developmental conditions and functional network integrity with a higher level of specificity than did previous whole-brain analyses. Taken together, our results support resting-state connectivity as a marker of functional dysregulation in specific networks known to be affected by SCZ and PD, while suggesting that aging affects network integrity in a more global way. Hum Brain Mapp 38:5845-5858, 2017. © 2017 Wiley Periodicals, Inc.

Do depressive symptoms predict paranoia or vice versa?

BACKGROUND AND OBJECTIVES

Affective versus nonaffective psychoses are today no longer regarded as mutually exclusive disorders. Theorists have recently highlighted the role of affective symptoms in the formation of paranoid beliefs, particularly negative beliefs about the self, interpersonal sensitivity, sleep disturbances, and worrying, which exist along a continuum in the general population. For the present study, we tested the bidirectional causal relationships between paranoia and affect.

METHOD

A large population sample (N = 2,357) was examined at three time-points (baseline, six months, two years) as to the severity of subclinical paranoid beliefs (Paranoia Checklist, PCL) and depressive symptoms (Patient Health Questionnaire-9, PHQ-9). Worrying and avoidance were measured with items from the Maladaptive and Adaptive Coping Style Questionnaire (MAX).

RESULTS

Depression and paranoid symptoms were strongly cross-sectionally related (r = 0.69) and showed high stability (r > 0.72). Depressive symptoms at T2 predicted paranoid symptoms at T3 (beta = 0.16; no significant relationship from T1 to T2), whereas paranoid symptoms predicted depressive symptoms from T1 to T2 (beta = 0.09; no significant relationship from T2 to T3).

LIMITATIONS

Results should be replicated in a sample of paranoid patients, as risk factors for subclinical versus manifest paranoia may differ. Some constructs were measured with single items derived from a new scale.

CONCLUSIONS

The predictive association of depression to subsequent paranoia was small and confined to the long interval from T2 to T3. Treatments should target both paranoia and depression - irrespective of their causal relationship - particularly as patients with psychosis consider treatment of their emotional problems a priority.

A Severity-Based Clinical Staging Model for the Psychosis Prodrome: Longitudinal Findings From the New York Recognition and Prevention Program

Clinical staging improved the possibility of intervening during the psychosis prodrome to limit progression of illness. The current study aimed to validate a novel 4-stage severity-based model with a focus on clinical change over time and risk for conversion to psychosis. One hundred seventy-one individuals at clinical high risk (CHR) for psychosis were followed prospectively (3 ± 1.6 y) as part of the Recognition and Prevention (RAP) program and divided into 4 diagnostic stages according to absence/presence and severity of attenuated positive symptoms. Twenty-two percent of the combined sample recovered (no prodromal symptoms) by study outcome. The negative symptoms only subgroup had the highest symptom stability (70%), but the lowest conversion rate at 5.9%. The subgroup with more severe baseline attenuated positive symptom levels had a higher conversion rate (28%) and a more rapid onset when compared to the moderate attenuated positive symptom subgroup (11%). Finally, the Schizophrenia-Like Psychosis (SLP) subgroup showed low stability (3%), with 49% developing a specific psychotic disorder. The proposed stage model provides a more finely grained classification system than the standard diagnostic approach for prodromal individuals. All 4 stages are in need of early intervention because of low recovery rates. The negative symptom only stage is possibly a separate clinical syndrome, with an increased risk of functional disability. Both subgroups with attenuated positive symptoms are appropriate for studying the mechanisms of psychosis risk, however, individuals with more severe baseline positive symptoms appear better suited to clinical trials. Finally, the SLP category represents an intermediate outcome group appropriate for preventative intervention research but questionable for inclusion in prodromal studies of mechanisms.

Progression from unipolar depression to schizophrenia

OBJECTIVE

To examine progression from unipolar depression (UD) to schizophrenia and to identify groups of UD patients at elevated risk for progression.

METHOD

Historical prospective cohort study using data from Danish national registers. The sample included 71 932 individuals who received a diagnosis of UD in Denmark between January 1, 1995, and May 31, 2013. Analyses were conducted using Kaplan-Meier estimates and Cox regressions.

RESULTS

The 18.5-year cumulative incidence of schizophrenia was 5.5% in women and 8.4% in men. The strongest predictors of progression included younger age (adjusted hazard ratio (AHR) for individuals 18-24 vs. 40+ = 7.42, 95% confidence interval = [6.29, 8.74]), psychotic symptoms at index UD diagnosis (AHR = 3.70 [3.18, 4.31]), previous disorder with psychotic features (AHR = 3.71 [3.31, 4.16]), and previous illicit substance use disorder (AHR = 1.66 [1.40, 1.97]). Groups of UD patients with different combinations of risk factors had elevated risk for progression, with 10-year cumulative incidences ranging from 9% to 62%. To conclude, at the time of UD diagnosis, the strongest risk factors for progression to schizophrenia include male sex, younger age, past/current psychotic symptoms, and illicit substance use disorders. These clinical predictors may aid in targeting monitoring for schizophrenia among patients with UD.

Early Intervention in Schizophrenia: A Literature Review

Schizophrenia is a debilitating psychiatric disorder seen across the world. Recently, investigators have witnessed an upsurge in research on the potential benefits of early intervention during the prodromal stage: the sooner people start the treatment at their first psychotic episode, the better outcome on symptom relief and better functioning. This paper aims to critically review and synthesize empirical evidence published between 2005 and 2015 regarding the effectiveness of preemptive interventions on transition rate, symptom severity, depression, anxiety, and function level. Randomized controlled trials were identified in seven different electronic databases and twelve studies were included in this review. Findings indicated that intervention was designed not only for help-seeking individuals, but also for their family members. Also, the applications for psychiatric nursing are discussed.

Duration of attenuated positive and negative symptoms in individuals at clinical high risk: Associations with risk of conversion to psychosis and functional outcome

Research in individuals at clinical high-risk (CHR) for psychosis has focused on subjects with no more than 12 months of present or worsened attenuated positive symptoms. However, the impact of long duration attenuated positive and/or negative prodromal symptoms on outcomes is unclear. Seventy-six CHR subjects with attenuated positive symptoms and at least moderate severity level negative symptoms rated on the Scale of Prodromal Symptoms (SOPS) were prospectively followed for a mean of 3.0 ± 1.6 years. Social and Role functioning was assessed with the Global Functioning: Social and Role scales. Correlations between attenuated positive and negative symptom duration and severity and conversion to psychosis and functional outcomes were analyzed. The average onset of SOPS rated negative symptoms (M = 53.24 months, SD = 48.90, median = 37.27) was approximately twelve months prior to the emergence of attenuated positive symptom (M = 40.15 months, SD = 40.33, median = 24.77, P < 0.05). More severe positive symptoms (P = 0.004), but not longer duration of positive (P = 0.412) or negative (P = 0.754) symptoms, predicted conversion to psychosis. Neither positive symptom duration (P = 0.181) nor severity (P = 0.469) predicted role or social functioning at study endpoint. Conversely, longer negative symptom duration predicted poor social functioning (P = 0.004). Overall, our findings suggest that the severity of attenuated positive symptoms at baseline may be more important than symptom duration for determining individuals at increased risk of developing psychosis. In contrast, long-standing negative symptoms may be associated with persistent social difficulties and therefore have an important position in the treatment of disability.

Effects of online intervention for depression on mood and positive symptoms in schizophrenia

BACKGROUND

Depression is common in schizophrenia. Whereas the improvement of mood and self-esteem represents a subjective treatment priority for many patients, depression is rarely a primary target for clinical intervention. The present trial examined whether an online intervention for depression can ameliorate depressive symptoms in schizophrenia.

METHODS

A total of 58 individuals with schizophrenia were invited to participate in an online survey which encompassed the Center for Epidemiologic Studies-Depression Scale (CES-D, primary outcome), the Patient-Health-Questionnaire-9 (PHQ-9) and the Paranoia Checklist. Subsequently, telephone interviews were conducted to verify diagnostic status and assess symptoms (Positive and Negative Syndrome Scale, PANSS). Participants were randomized either to the experimental condition (online depression intervention) or to a waitlist control condition. Three months after inclusion, a reassessment was carried out (self-report and telephone interview blind for group condition). The trial was registered (registration: DRKS00007888).

RESULTS

Participants in the treatment group showed a significant decline of depressive symptoms at a medium-to-large effect size, as assessed with the CES-D and the PANSS depression item, in comparison to the waitlist control group (completer (CC) and intention-to-treat analyses (ITT)). For the PHQ-9 (CC and ITT) and the PANSS distress subscale (CC only) significance was bordered at a medium effect size. Completion at the post-assessment after three months was 84%.

DISCUSSION

Depression in schizophrenia is both underdiagnosed and undertreated. To reduce the large treatment gap in the disorder, low threshold strategies are urgently needed. Online treatment and bibliotherapy may represent valuable tools to address patients' needs beyond the treatment of the core positive syndrome.

Longitudinal changes in hippocampal volume in the Edinburgh High Risk Study of Schizophrenia

Schizophrenia is associated with structural brain abnormalities that are likely to be present before disease onset. It remains unclear to what extent these represent general vulnerability indicators or are associated with the developing clinical state itself. It also remains unclear whether such state or trait alterations may be evident at any given time-point, or whether they progress over time. To investigate this, structural brain scans were acquired at two time-points (mean scan-interval 1.87years) in a cohort of young unaffected individuals at high familial risk of schizophrenia (baseline, n=142; follow-up, n=64) and healthy controls (baseline, n=36; follow-up, n=18). Sub-cortical reconstructions of the hippocampus and amygdala were generated using the longitudinal pipeline available with Freesurfer. The high risk cohort was subdivided into individuals that remained well during the study (HR[well], baseline, n=68; follow-up, n=30), transient and/or partial symptoms that were insufficient to support a formal diagnosis (HR[symp], baseline, n=57; follow-up, n=26) and individuals that subsequently developed schizophrenia according to ICD-10 criteria (HR[ill], baseline, n=17; follow-up, n=8). Longitudinal change in the hippocampus and amygdala was compared, focusing first on overall differences between high-risk individuals and controls and then on sub-group differences within the high-risk cohort. We found a significantly altered developmental trajectory for all high risk individuals compared to controls, with controls showing a significant increase in hippocampal volume over time compared to those at high risk. We did not find evidence of altered longitudinal trajectories based on clinical outcome within the high risk cohort. These results suggest that an altered developmental trajectory of hippocampal volume is associated with a general familial predisposition to develop schizophrenia, as this alteration was not related to subsequent clinical outcome.

Negative symptoms and longitudinal grey matter tissue loss in adolescents at risk of psychosis: preliminary findings from a 6-year follow-up study

BACKGROUND

Negative symptoms are perhaps the most disabling feature of schizophrenia. Their pathogenesis remains poorly understood and it has been difficult to assess their development over time with imaging techniques.

AIMS

To examine, using tensor-based structural imaging techniques, whether there are regions of progressive grey matter volume change associated with the development of negative symptoms.

METHOD

A total of 43 adolescents at risk of psychosis were examined using magnetic resonance imaging and whole brain tensor-based morphometry at two time points, 6 years apart.

RESULTS

When comparing the individuals with significant negative symptoms with the remaining participants, we identified five regions of significant grey matter tissue loss over the 6-year period. These regions included the left temporal lobe, the left cerebellum, the left posterior cingulate and the left inferior parietal sulcus.

CONCLUSIONS

Negative symptoms are associated with longitudinal grey matter tissue loss. The regions identified include areas associated with psychotic symptoms more generally but also include regions uniquely associated with negative symptoms.