Benno Karl Edgar Schimmelmann

EPA guidance on the early intervention in clinical high risk states of psychoses

This guidance paper from the European Psychiatric Association (EPA) aims to provide evidence-based recommendations on early intervention in clinical high risk (CHR) states of psychosis, assessed according to the EPA guidance on early detection. The recommendations were derived from a meta-analysis of current empirical evidence on the efficacy of psychological and pharmacological interventions in CHR samples. Eligible studies had to investigate conversion rate and/or functioning as a treatment outcome in CHR patients defined by the ultra-high risk and/or basic symptom criteria. Besides analyses on treatment effects on conversion rate and functional outcome, age and type of intervention were examined as potential moderators. Based on data from 15 studies (n=1394), early intervention generally produced significantly reduced conversion rates at 6- to 48-month follow-up compared to control conditions. However, early intervention failed to achieve significantly greater functional improvements because both early intervention and control conditions produced similar positive effects. With regard to the type of intervention, both psychological and pharmacological interventions produced significant effects on conversion rates, but not on functional outcome relative to the control conditions. Early intervention in youth samples was generally less effective than in predominantly adult samples. Seven evidence-based recommendations for early intervention in CHR samples could have been formulated, although more studies are needed to investigate the specificity of treatment effects and potential age effects in order to tailor interventions to the individual treatment needs and risk status.

Prevalence and Clinical Significance of DSM-5–Attenuated Psychosis Syndrome in Adolescents and Young Adults in the General Population: The Bern Epidemiological At-Risk (BEAR) Study

Objective: Section III of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) lists attenuated psychosis syndrome as a condition for further study. One important question is its prevalence and clinical significance in the general population. Method: Analyses involved 1229 participants (age 16–40 years) from the general population of Canton Bern, Switzerland, enrolled from June 2011 to July 2012. “Symptom,” “onset/worsening,” “frequency,” and “distress/disability” criteria of attenuated psychosis syndrome were assessed using the structured interview for psychosis-risk syndromes. Furthermore, help-seeking, psychosocial functioning, and current nonpsychotic axis I disorders were surveyed. Well-trained psychologists performed assessments using the computer-assisted telephone interviewing technique. Results: The symptom criterion was met by 12.9% of participants, onset/worsening by 1.1%, frequency by 3.8%, and distress/disability by 7.0%. Symptom, frequency, and distress/disability were met by 3.2%. Excluding trait-like attenuated psychotic symptoms (APS) decreased the prevalence to 2.6%, while adding onset/worsening reduced it to 0.3%. APS were associated with functional impairments, current mental disorders, and help-seeking although they were not a reason for help-seeking. These associations were weaker for attenuated psychosis syndrome. Conclusions: At the population level, only 0.3% met current attenuated psychosis syndrome criteria. Particularly, the onset/worsening criterion, originally included to increase the likelihood of progression to psychosis, lowered its prevalence. Because progression is not required for a self-contained syndrome, a revision of the restrictive onset criterion is proposed to avoid the exclusion of 2.3% of persons who experience and are distressed by APS from mental health care. Secondary analyses suggest that a revised syndrome would also possess higher clinical significance than the current syndrome.

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.

Attention-deficit hyperactivity disorder (ADHD) and glial integrity: an exploration of associations of cytokines and kynurenine metabolites with symptoms and attention

BackgroundIn contrast to studies of depression and psychosis, the first part of this study showed no major differences in serum levels of cytokines and tryptophan metabolites between healthy children and those with attention-deficit/hyperactivity disorder of the combined type (ADHD). Yet, small decreases of potentially toxic kynurenine metabolites and increases of cytokines were evident in subgroups. Therefore we examined predictions of biochemical associations with the major symptom clusters, measures of attention and response variability.MethodsWe explored systematically associations of 8 cytokines (indicators of pro/anti-inflammatory function) and 5 tryptophan metabolites with symptom ratings (e.g. anxiety, opposition, inattention) and continuous performance test (CPT) measures (e.g. movement, response time (RT), variability) in 35 ADHD (14 on medication) and 21 control children. Predictions from linear regressions (controlled by the false discovery rate) confirmed or disconfirmed partial correlations accounting for age, body mass and socio-economic status.Results(1) Total symptom ratings were associated with increases of the interleukins IL-16 and IL-13, where relations of IL-16 (along with decreased S100B) with hyperactivity, and IL-13 with inattention were notable. Opposition ratings were predicted by increased IL-2 in ADHD and IL-6 in control children. (2) In the CPT, IL-16 related to motor measures and errors of commission, while IL-13 was associated with errors of omission. Increased RT variability related to lower TNF-α, but to higher IFN-γ levels. (3) Tryptophan metabolites were not significantly related to symptoms. But increased tryptophan predicted errors of omission, its breakdown predicted errors of commission and kynurenine levels related to faster RTs.ConclusionsMany associations were found across diagnostic groups even though they were more marked in one group. This confirms the quantitative trait nature of these features. Conceptually the relationships of the pro- and antiinflammatory cytokines distinguished between behaviours associated more with cognitive or more with motor control respectively. Further study should extend the number of immunological and metabolic markers to confirm or refute the trends reported here and examine their stability from childhood to adolescence in a longitudinal design.

Cannabis use disorder and age at onset of psychosis — A study in first-episode patients

INTRODUCTION Age at onset of psychosis (AAO) may be younger in patients with cannabis use disorders (CUD) compared to those without CUD (NCUD). Previous studies included CUD co-morbid with other substance use disorders (SUD), and many did not control for confounders. METHODS Controlling for relevant confounders, differences in AAO between patients with and without CUD excluding those with any other SUD were analyzed in a large representative file audit of 625 first-episode psychosis (FEP) patients (age 14 to 29years) admitted to the Early Psychosis Prevention and Intervention Centre in Melbourne, Australia. RESULTS Three quarters of the 625 FEP patients had a CUD. Cannabis use started before psychosis onset in 87.6% of patients. AAO was not significantly different between CUD (without other SUD, n=201) and NCUD (n=157). However, AAO was younger in those with early CUD (starting age 14 or younger) compared to NCUD (F(1)=5.2; p=0.024; partial η(2)=0.026). Earlier age at onset of cannabis use predicted earlier age at onset of psychosis (β=-0.49, R(2)-change=0.25, p<0.001). CONCLUSION Only CUD starting age 14 or younger was associated with an earlier AAO at a small effect size. These findings suggest that CUD may exert an indirect effect on brain maturation resulting in earlier AAO potentially only in cannabis sensitive subjects.

Differences in coping, self-efficacy, and external control beliefs between patients at-risk for psychosis and patients with first-episode psychosis

Patients with first-episode psychosis (FEP) often show dysfunctional coping patterns, low self-efficacy, and external control beliefs that are considered to be risk factors for the development of psychosis. Therefore, these factors should already be present in patients at-risk for psychosis (AR). We compared frequencies of deficits in coping strategies (Stress-Coping-Questionnaires, SVF-120/SVF-KJ), self-efficacy, and control beliefs (Competence and Control Beliefs Questionnaire, FKK) between AR (n=21) and FEP (n=22) patients using a cross-sectional design. Correlations among coping, self-efficacy, and control beliefs were assessed in both groups. The majority of AR and FEP patients demonstrated deficits in coping skills, self-efficacy, and control beliefs. However, AR patients more frequently reported a lack of positive coping strategies, low self-efficacy, and a fatalistic externalizing bias. In contrast, FEP patients were characterized by being overly self-confident. These findings suggest that dysfunctional coping, self-efficacy, and control beliefs are already evident in AR patients, though different from those in FEP patients. The pattern of deficits in AR patients closely resembles that of depressive patients, which may reflect high levels of depressiveness in AR patients. Apart from being worthwhile treatment targets, these coping and belief patterns are promising candidates for predicting outcome in AR patients, including the conversion to psychosis.

Twelve-month psychosis-predictive value of the ultra-high risk criteria in children and adolescents

OBJECTIVE The validity of current ultra-high risk (UHR) criteria is under-examined in help-seeking minors, particularly, in children below the age of 12 years. Thus, the present study investigated predictors of one-year outcome in children and adolescents (CAD) with UHR status. METHOD Thirty-five children and adolescents (age 9-17 years) meeting UHR criteria according to the Structured Interview for Psychosis-Risk Syndromes were followed-up for 12 months. Regression analyses were employed to detect baseline predictors of conversion to psychosis and of outcome of non-converters (remission and persistence of UHR versus conversion). RESULTS At one-year follow-up, 20% of patients had developed schizophrenia, 25.7% had remitted from their UHR status that, consequently, had persisted in 54.3%. No patient had fully remitted from mental disorders, even if UHR status was not maintained. Conversion was best predicted by any transient psychotic symptom and a disorganized communication score. No prediction model for outcome beyond conversion was identified. CONCLUSIONS Our findings provide the first evidence for the predictive utility of UHR criteria in CAD in terms of brief intermittent psychotic symptoms (BIPS) when accompanied by signs of cognitive impairment, i.e. disorganized communication. However, because attenuated psychotic symptoms (APS) related to thought content and perception were indicative of non-conversion at 1-year follow-up, their use in early detection of psychosis in CAD needs further study. Overall, the need for more in-depth studies into developmental peculiarities in the early detection and treatment of psychoses with an onset of illness in childhood and early adolescence was further highlighted.

Behavioral Assessment of Core ADHD Symptoms Using the QbTest

Objective: Hyperactivity, one of the core symptoms of ADHD, has been mostly neglected in neuropsychological assessment of childhood ADHD. The neuropsychological Quantified behavior Test (QbTest) separately assesses all three core symptoms of ADHD on a behavioral level. Factor structure of the QbTest and its concurrent and discriminant validity are presented. Method: An exploratory factor analysis (n = 828 children) was performed. In a second sample (n = 102 children) a Multi-Trait-Multi-Method (MTMM) approach was used for validity analyses. Results: A three factorial model explained 76 % of the total variance, with the resulting QbTest factors significantly influenced by age and gender. The MTMM approach yielded promising results for discriminant, yet inconsistent findings for concurrent validity between the QbTest and another attention test as well as for Conners’ Parent and Teacher Rating Scales. Conclusion: Results indicate that the QbTest may be helpful for the behavioral assessment of childhood ADHD, yet further studies on its psychometric quality and clinical utility are needed.

Screening instruments in child and adolescent psychiatry: general and methodological considerations.

There is strong evidence that most psychiatric disorders have their origins early in life and that risk for psychiatric disorders in adulthood is increased by childhood adversities [1]. Furthermore, neuropsychiatric disorders are the most common causes of burden and disability in young persons aged 10–24 years in whom they account for 45 % of these, and are strongly associated with risk-behaviors and substantial psychosocial impairment [2–5]. An important concern is the duration of untreated illness which has been increasingly considered as a predictor of worse outcome across different psychiatric disorders [6]. Therefore, an early detection and adequate intervention are crucial to reduce overall burden and disability associated with neuropsychiatric disorders [7]. One important reason for the duration of untreated illness is that more than a third of patients with a psychiatric disorder do not or only with delay seek help from a mental health professional [8]. In contrast, most children and adolescents are regularly seen by general medical professionals for other reasons (e.g., primary care physician, pediatrician, or nurse) and/or by school counselors (pedagogues, social workers, or sometimes psychologists) if they have behavioral or emotional problems. These mainly non-mental health professionals need screening instruments to detect whether or not a child is in need for a general psychiatric evaluation (caseness) and, in the event that a specific psychiatric disorder is assumed, screeners for a particular disorder (e.g., ADHD, psychosis). Furthermore, even mental health professionals are in need for screens, if specialized, elaborate/sophisticated and/or time-consuming assessments are considered, e.g., for psychosis risk or autism [7, 9, 10]. Screenings are common in many areas of medicine, and screeners are frequently employed for the detection of psychiatric disorders [5, 9, 11]. However, in psychiatry, screening instruments are often discredited for their poor psychometric properties, such as too many false positives (i.e., poor positive predictive value) or lack of adaptions for certain age groups [9]. While some psychiatric disorders may indeed be difficult to screen for, the most serious problem is that reports on new screening instruments frequently lack sufficient evaluation of crucial psychometric properties that would be mandatory to judge their usefulness. This may have contributed to the bad reputation of psychiatric screening instruments.

Mechanisms of change in psychotherapy for children and adolescents: current state, clinical implications, and methodological and conceptual recommendations for mediation analysis

dysfunctional beliefs), which in turn influences the outcome variable (e.g., changes in depressive symptoms; [7]; see Fig. 1a). Such a mediation effect needs to be distinguished from a moderation effect, i.e., the effect of a third variable (e.g., age, gender, cognitive abilities) that influences the strength of the relationship between two variables (see Fig. 1b). While a moderation effect is able to identify for whom and under what circumstances a treatment produces its effects, a mediation effect helps to clarify how a treatment works [9]. Although methods to test mediation effects have grown in sophistication [10], the most ubiquitous method in the current literature is the ‘causal steps approach’ proposed by Baron and Kenny [11]. According to this approach, two models, a basic model and a mediation model, are used to evaluate mediation effects (see Fig. 1). The basic model postulates a significant association between the independent variable and the outcome variable (path c). The mediation model posits a significant association between the mediator and both the independent variable (path a) and the outcome variable (path b), while the direct relationship between the independent and the outcome variable (path c) should no longer be significant (i.e., complete mediation), or at least be substantially reduced (i.e. partial mediation), when the mediator is included in the model (path c′). The product of the path coefficients a and b quantifies the indirect mediated effect of the independent variable on the outcome [8]. However, this approach has been criticized for both its low power and the lack of quantification of the indirect, mediated effect, although the latter is most relevant [12]. Therefore, it is necessary to test the significance level of the indirect, mediated effect (i.e., product of coefficients a and b) and to estimate its confidence intervals [13]. Additionally, several options are available to calculate effect sizes for the indirect, mediated effect [14]. Consequently, the concept Introduction