The Anomalous Effect of COVID-19 Pandemic Restrictions on the Duration of Untreated Psychosis (DUP).

We investigated the impact of COVID-19 restrictions on the duration of untreated psychosis (DUP). First-episode psychosis admissions (n=101) to STEP Clinic in Connecticut showed DUP reduction (p=.0015) in the pandemic, with the median reducing from 208 days during the pre-pandemic to 56 days in the early pandemic period and subsequently increasing to 154 days (p=.0281). Time from psychosis onset to anti-psychotic prescription decreased significantly in the pandemic (p=.0183), with the median falling from 117 to 35 days. This cohort study demonstrates an association between greater pandemic restrictions and marked DUP reduction and provides insights for future early detection efforts.

The Italian adaptation of the Mini-SIPS, a tool for early detection of individuals at clinical high risk and first episode of psychosis: A preliminary study of implementation in an Italian FEP program.

AIMS: The study aims are to present the Italian adaptation of the Abbreviated Clinical Structured Interview for DSM-5 Attenuated Psychosis Syndrome (Mini-SIPS) and illustrate its implementation in a clinical setting. METHODS: The Mini-SIPS was developed from the original extended version as a tool designed to identify, within the clinical high risk (CHR) framework, the DSM-5 Attenuated Psychosis Syndrome (APS) and to be implemented in clinical settings. The Mini-SIPS was translated in Italian by a Yale-certified SIPS trainer, then back-translated in English by a trained psychologist, then approved by the Mini-SIPS authors. Since September 2021, the adapted Italian version of the Mini-SIPS has been implemented at the First Episode Psychosis (FEP) Program in Ferrara, Italy. RESULTS: The Italian version of Mini-SIPS was successfully administered to 15 individuals subsequently referred to the First Episode Psychosis service in Ferrara. Within this sample, the tool has proven to be both an effective and efficient tool for the identification of CHR and FEP, and a valid instrument to help with the differential diagnosis. It also performed as a valuable guide for retrieving information about psychiatric history, to date the onset of APS and/or full-blown psychosis, to track the progression from CHR to psychosis or to symptoms resolution and to describe patients' pathways to care. CONCLUSION: The Mini-SIPS is an efficient and easy-to-use interview to identify the early stages of psychosis and established psychosis in clinical contexts. The Italian adaptation of this interview could be effectively implemented in other Italian FEP Programs as a screening and monitoring tool. Formal validation of the instrument is needed to assessed validity and reliability in the diagnosis of the CHR and FEP.

Antipsychotic drugs in first-episode psychosis: A target trial emulation in the FEP-CAUSAL Collaboration.

Good adherence to antipsychotic therapy helps prevent relapses in First Episode Psychosis (FEP). We used data from the FEP-CAUSAL Collaboration, an international consortium of observational cohorts to emulate a target trial comparing antipsychotics with treatment discontinuation as the primary outcome. Other outcomes included all-cause hospitalization. We benchmarked our results to estimates from EUFEST, a randomized trial conducted in the 2000s. We included 1097 patients with a psychotic disorder and less than 2 years since psychosis onset. Inverse probability weighting was used to control for confounding. The estimated 12-month risks of discontinuation for aripiprazole, first-generation agents, olanzapine, paliperidone, quetiapine, and risperidone (95% CI) were: 61.5% (52.5-70.6), 73.5% (60.5-84.9), 76.8% (67.2-85.3), 58.4% (40.4-77.4), 76.5% (62.1-88.5), and 74.4% (67.0-81.2) respectively. Compared with aripiprazole, the 12-month risk differences (95% CI) were -15.3% (-30.0, 0.0) for olanzapine, -12.8% (-25.7, -1.0) for risperidone, and 3.0% (-21.5, 30.8) for paliperidone. The 12-month risks of hospitalization were similar between agents. Our estimates support use of aripiprazole and paliperidone as first-line therapies for FEP. Benchmarking yielded similar results for discontinuation and absolute risks of hospitalization as in the original trial, suggesting that data from the FEP-CAUSAL Collaboration data sufficed to approximately remove confounding for these clinical questions.

On the proportion of patients who experience a prodrome prior to psychosis onset: A systematic review and meta-analysis.

BACKGROUND: Preventing or delaying the onset of psychosis requires identification of those at risk for developing psychosis. For predictive purposes, the prodrome - a constellation of symptoms which may occur before the onset of psychosis - has been increasingly recognized as having utility. However, it is unclear what proportion of patients experience a prodrome or how this varies based on the multiple definitions used. METHODS: We conducted a systematic review and meta-analysis of studies of patients with psychosis with the objective of determining the proportion of patients who experienced a prodrome prior to psychosis onset. Inclusion criteria included a consistent prodrome definition and reporting the proportion of patients who experienced a prodrome. We excluded studies of only patients with a prodrome or solely substance-induced psychosis, qualitative studies without prevalence data, conference abstracts, and case reports/case series. We searched Ovid MEDLINE, Embase (Ovid), APA PsycInfo (Ovid), Web of Science Core Collection (Clarivate), Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, APA PsycBooks (Ovid), ProQuest Dissertation & Thesis, on March 3, 2021. Studies were assessed for quality using the Critical Appraisal Checklist for Prevalence Studies. Narrative synthesis and proportion meta-analysis were used to estimate prodrome prevalence. I2 and predictive interval were used to assess heterogeneity. Subgroup analyses were used to probe sources of heterogeneity. (PROSPERO ID: CRD42021239797). RESULTS: Seventy-one articles were included, representing 13,774 patients. Studies varied significantly in terms of methodology and prodrome definition used. The random effects proportion meta-analysis estimate for prodrome prevalence was 78.3% (95% CI = 72.8-83.2); heterogeneity was high (I2 97.98% [95% CI = 97.71-98.22]); and the prediction interval was wide (95% PI = 0.411-0.936). There were no meaningful differences in prevalence between grouped prodrome definitions, and subgroup analyses failed to reveal a consistent source of heterogeneity. CONCLUSIONS: This is the first meta-analysis on the prevalence of a prodrome prior to the onset of first episode psychosis. The majority of patients (78.3%) were found to have experienced a prodrome prior to psychosis onset. However, findings are highly heterogenous across study and no definitive source of heterogeneity was found despite extensive subgroup analyses. As most studies were retrospective in nature, recall bias likely affects these results. While the large majority of patients with psychosis experience a prodrome in some form, it is unclear if the remainder of patients experience no prodrome, or if ascertainment methods employed in the studies were not sensitive to their experiences. Given widespread investment in indicated prevention of psychosis through prospective identification and intervention during the prodrome, a resolution of this question as well as a consensus definition of the prodrome is much needed in order to effectively direct and organize services, and may be accomplished through novel, densely sampled and phenotyped prospective cohort studies that aim for representative sampling across multiple settings.

The impact of early detection (ED) campaigns on care presentations: Beyond DUP reduction.

We examined the effects of an early detection (ED) campaign (Mindmap), that successfully shortened the duration of untreated psychosis (DUP), on patient presentation profiles at two receiving coordinated specialty care (CSC) services. Data were collected between 2015 and 2019 during a test of ED delivered at one CSC (STEP, n = 147) compared to usual detection at another CSC (PREP, n = 63). Regression models were used to test the effects of ED and DUP on presentation. Before the launch of ED, there were no differences in presentation between STEP and PREP. However, the ED changed the profile of presentations to STEP such that patients were admitted with better negative and total symptoms scores, but worse GAF current and GAF social and with a greater decline in function over the prior year (GAF-Δ). Site-by-time interaction effects were not significant. During the campaign years, STEP vs. PREP recruited patients with better negative and total symptoms, GAF role, and pre-morbid adjustment scores but with worse positive symptoms, GAF current, and GAF-Δ. Nonetheless, mediation analysis revealed that DUP reduction accounted for very little (<8 %) of these differences in presentation. Early detection campaigns while successfully reducing access delays, can have salutary effects on presentation independent of DUP reduction.

Role of Early Psychosis Detection in the Relationship Between Personal Income and Duration of Untreated Psychosis.

OBJECTIVE: Prolonged duration of untreated psychosis (DUP) predicts poor outcomes of first-episode psychosis (FEP) and is often linked to low socioeconomic status (SES). The authors sought to determine whether patients' personal income, used as a proxy for SES, predicts length of DUP and whether personal income influences the effect of an early psychosis detection campaign-called Mindmap-on DUP reduction. METHODS: Data were drawn from a trial that compared the effectiveness of early detection in reducing DUP across the catchment area of an FEP service (N=147 participants) compared with an FEP service with no early detection (N=75 participants). Hierarchical regression was used to determine whether personal income predicted DUP when analyses controlled for effects of age, race, and exposure to early psychosis detection. A group × personal income interaction term was used to assess whether the DUP difference between the early detection and control groups differed by personal income. RESULTS: Lower personal income was significantly associated with younger age, fewer years of education, Black race, and longer DUP. Personal income predicted DUP beyond the effects of age, race, and early psychosis detection. Although Mindmap significantly reduced DUP across all income levels, this effect was smaller for participants reporting lower personal income. CONCLUSIONS: Patients' personal income may be an important indicator of disparity in access to specialty care clinics across a wide range of settings. Early detection efforts should measure and target personal income and other SES indicators to improve access for all individuals who may benefit from FEP services.

The effect of duration of untreated psychosis (DUP) on the risk for hospitalization after admission to a first episode service.

Engagement with a first episode-psychosis service (FES) reduces the risk of psychiatric hospitalization. However, the role of the duration of untreated psychosis (DUP) in impacting this outcome is disputed. This study aimed to examine whether DUP was an effect modifier of the post-FES reduction of risk of hospitalization, and to explore associations between patients' characteristics and hospitalization post-FES. Individuals aged 16-35 with recent onset (< 3 years) of non-affective psychosis, admitted to the Program for Specialized Treatment Early in Psychosis (STEP), a FES serving the Greater New Haven area, Connecticut, between 2014 and 2019 were included (N = 189). Medical records were queried from 2013 through 2020 for number and duration of psychiatric hospitalizations. Poisson regression models were used to estimate incidence rate ratios for hospitalization rates across all explanatory variables. Negative binomial regression was used to compare the length of stay (LOS) before vs after STEP enrollment. STEP admission was associated with a significant 90 % reduction in the frequency and duration of hospitalizations. This effect was moderated by DUP: with 30-day prolongations in components of DUP (supply, demand, and total) there was less reduction in hospitalizations and LOS after FES enrollment (p < .0001). Only DUP supply (time from first antipsychotic use to STEP admission) differentiated those who were hospitalized during the first year after STEP enrollment from those who were not (median: 35 vs. 15 weeks, p = .003). To fully harness the positive impact of FES on hospitalization, a detailed effort should be pursued to reduce all DUP components.

Aberrant Hierarchical Prediction Errors Are Associated With Transition to Psychosis: A Computational Single-Trial Analysis of the Mismatch Negativity.

BACKGROUND: Mismatch negativity reductions are among the most reliable biomarkers for schizophrenia and have been associated with increased risk for conversion to psychosis in individuals who are at clinical high risk for psychosis (CHR-P). Here, we adopted a computational approach to develop a mechanistic model of mismatch negativity reductions in CHR-P individuals and patients early in the course of schizophrenia. METHODS: Electroencephalography was recorded in 38 CHR-P individuals (15 converters), 19 patients early in the course of schizophrenia (≤5 years), and 44 healthy control participants during three different auditory oddball mismatch negativity paradigms including 10% duration, frequency, or double deviants, respectively. We modeled sensory learning with the hierarchical Gaussian filter and extracted precision-weighted prediction error trajectories from the model to assess how the expression of hierarchical prediction errors modulated electroencephalography amplitudes over sensor space and time. RESULTS: Both low-level sensory and high-level volatility precision-weighted prediction errors were altered in CHR-P individuals and patients early in the course of schizophrenia compared with healthy control participants. Moreover, low-level precision-weighted prediction errors were significantly different in CHR-P individuals who later converted to psychosis compared with nonconverters. CONCLUSIONS: Our results implicate altered processing of hierarchical prediction errors as a computational mechanism in early psychosis consistent with predictive coding accounts of psychosis. This computational model seems to capture pathophysiological mechanisms that are relevant to early psychosis and the risk for future psychosis in CHR-P individuals and may serve as predictive biomarkers and mechanistic targets for the development of novel treatments.

Towards a youth mental health paradigm: a perspective and roadmap.

Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health. This perspective addresses interactions between risk and protective factors and brain development as key pillars accounting for the emergence of psychopathology in youth. Moreover, we propose that novel approaches towards early diagnosis and interventions are required that reflect the evolution of emerging psychopathology, the importance of novel service models, and knowledge exchange between science and practitioners. Taken together, we propose a transformative early intervention paradigm for research and clinical care that could significantly enhance mental health in young people and initiate a shift towards the prevention of severe mental disorders.

Sampling from different populations: Sociodemographic, clinical, and functional differences between samples of first episode psychosis individuals and clinical high-risk individuals who progressed to psychosis.

Over the past two decades, research and clinical resources on clinical high risk (CHR) for psychosis have both expanded, with goals to better understanding risk and protective factors on the course of illness and inform early intervention efforts. However, some studies have highlighted potential sampling bias among CHR research studies, raising questions about generalizability of findings and inequitable access to early detection and intervention. The current study sought to explore these questions by comparing 94 participants in a CHR longitudinal monitoring study across North America (NAPLS-2) who converted to syndromal psychosis over the course of the study (CHR-CV) to 171 participants who presented for treatment at a localized first-episode psychosis service (FES) after converting. CHR-CV participants were significantly more likely to be White and have a college-educated parent, while FES participants were more likely to be Black and first- or second-generation immigrants. On average, CHR-CV participants were younger at onset of attenuated positive symptoms, had a longer period of attenuated symptoms prior to conversion, and were more likely to be treated with antipsychotics prior to conversion compared to those in FES programs. After controlling for time since conversion, CHR-CV participants had higher global functioning and were less likely to have experienced recent psychiatric hospitalization. Findings suggest that CHR research and FES clinics may be sampling from different populations, although conclusions are limited by inconsistent sampling frames and methods. Integrated early detection that targets defined geographic catchments may deliver more epidemiologically representative samples to both CHR research and FES.

Promoting the Success and Sustainability of Coordinated Specialty Care Teams in Ohio.

Recent COVID-19-related federal legislation has resulted in time-limited increases in Mental Health Block Grant (MHBG) set-aside dollars for coordinated specialty care (CSC) throughout the United States. The state of Ohio has opted to apply these funds to establish a learning health network of Ohio CSC teams, promote efforts to expand access to CSC, and quantify the operating costs and rates of reimbursement from private and public payers for these CSC teams. These efforts may provide other states with a model through which they can apply increased MHBG funds to support the success of their own CSC programs.

Distinct Symptom Network Structure and Shared Central Social Communication Symptomatology in Autism and Schizophrenia: A Bayesian Network Analysis.

Autism (ASD) and schizophrenia spectrum disorders (SCZ) are neurodevelopmental conditions with overlapping and interrelated symptoms. A network analysis approach that represents clinical conditions as a set of "nodes" (symptoms) connected by "edges" (relations among symptoms) was used to compare symptom organization in the two conditions. Gaussian graphical models were estimated using Bayesian methods to model separate symptom networks for adults with confirmed ASD or SCZ diagnoses. Though overall symptom organization differed by diagnostic group, both symptom networks demonstrated high centrality of social communication difficulties. Autism-relevant restricted and repetitive behaviors and schizophrenia-related cognitive-perceptual symptoms were uniquely central to the ASD and SCZ networks, respectively. Results offer recommendations to improve differential diagnosis and highlight potential treatment targets in ASD and SCZ.

Electrophysiological Studies of Reception of Facial Communication in Autism Spectrum Disorder and Schizophrenia.

Autism spectrum disorder (ASD) and schizophrenia spectrum disorders (SZ) are characterized by difficulty with social cognition and atypical reception of facial communication - a key area in the Research Domain Criteria framework. To identify areas of overlap and dissociation between ASD and SZ, we review studies of event-related potentials (ERP) to faces across ASD and SZ populations, focusing on ERPs implicated in social perception: P100, N170, N250, and P300. There were many inconsistent findings across studies; however, replication was strongest for delayed N170 latency in ASD and attenuated N170 amplitude in SZ. These results highlight the challenges of replicating research findings in heterogeneous clinical populations and the need for transdiagnostic research that continuously quantifies behavior and neural activity across neurodevelopmental disorders.

Granular analysis of pathways to care and durations of untreated psychosis: A marginal delay model.

OBJECTIVE: An extensive international literature demonstrates that understanding pathways to care (PTC) is essential for efforts to reduce community Duration of Untreated Psychosis (DUP). However, knowledge from these studies is difficult to translate to new settings. We present a novel approach to characterize and analyze PTC and demonstrate its value for the design and implementation of early detection efforts. METHODS: Type and date of every encounter, or node, along the PTC were encoded for 156 participants enrolled in the clinic for Specialized Treatment Early in Psychosis (STEP), within the context of an early detection campaign. Marginal-delay, or the portion of overall delay attributable to a specific node, was computed as the number of days between the start dates of contiguous nodes on the PTC. Sources of delay within the network of care were quantified and patient characteristic (sex, age, race, income, insurance, living, education, employment, and function) influences on such delays were analyzed via bivariate and mixed model testing. RESULTS: The period from psychosis onset to antipsychotic prescription was significantly longer (52 vs. 20.5 days, [p = 0.004]), involved more interactions (3 vs. 1 nodes, [p<0.001]), and was predominated by encounters with non-clinical nodes while the period from antipsychotic to STEP enrollment was shorter and predominated by clinical nodes. Outpatient programs were the greatest contributor of marginal delays on both before antipsychotic prescription (median [IQR] of 36.5 [1.3-132.8] days) and (median [IQR] of 56 [15-210.5] days). Sharper functional declines in the year before enrollment correlated significantly with longer DUP (p<0.001), while those with higher functioning moved significantly faster through nodes (p<0.001). No other associations were found with patient characteristics and PTCs. CONCLUSIONS: The conceptual model and analytic approach outlined in this study give first episode services tools to measure, analyze, and inform strategies to reduce untreated psychosis.

Predictability modulates neural response to eye contact in ASD.

BACKGROUND: Deficits in establishing and maintaining eye-contact are early and persistent vulnerabilities of autism spectrum disorder (ASD), and the neural bases of these deficits remain elusive. A promising hypothesis is that social features of autism may reflect difficulties in making predictions about the social world under conditions of uncertainty. However, no research in ASD has examined how predictability impacts the neural processing of eye-contact in naturalistic interpersonal interactions. METHOD: We used eye tracking to facilitate an interactive social simulation wherein onscreen faces would establish eye-contact when the participant looked at them. In Experiment One, receipt of eye-contact was unpredictable; in Experiment Two, receipt of eye-contact was predictable. Neural response to eye-contact was measured via the N170 and P300 event-related potentials (ERPs). Experiment One included 23 ASD and 46 typically developing (TD) adult participants. Experiment Two included 25 ASD and 43 TD adult participants. RESULTS: When receipt of eye-contact was unpredictable, individuals with ASD showed increased N170 and increased, but non-specific, P300 responses. The magnitude of the N170 responses correlated with measures of sensory and anxiety symptomology, such that increased response to eye-contact was associated with increased symptomology. However, when receipt of eye-contact was predictable, individuals with ASD, relative to controls, exhibited slower N170s and no differences in the amplitude of N170 or P300. LIMITATIONS: Our ASD sample was composed of adults with IQ > 70 and included only four autistic women. Thus, further research is needed to evaluate how these results generalize across the spectrum of age, sex, and cognitive ability. Additionally, as analyses were exploratory, some findings failed to survive false-discovery rate adjustment. CONCLUSIONS: Neural response to eye-contact in ASD ranged from attenuated to hypersensitive depending on the predictability of the social context. These findings suggest that the vulnerabilities in eye-contact during social interactions in ASD may arise from differences in anticipation and expectation of eye-contact in addition to the perception of gaze alone.

Brain-phenotype models fail for individuals who defy sample stereotypes.

Individual differences in brain functional organization track a range of traits, symptoms and behaviours1-12. So far, work modelling linear brain-phenotype relationships has assumed that a single such relationship generalizes across all individuals, but models do not work equally well in all participants13,14. A better understanding of in whom models fail and why is crucial to revealing robust, useful and unbiased brain-phenotype relationships. To this end, here we related brain activity to phenotype using predictive models-trained and tested on independent data to ensure generalizability15-and examined model failure. We applied this data-driven approach to a range of neurocognitive measures in a new, clinically and demographically heterogeneous dataset, with the results replicated in two independent, publicly available datasets16,17. Across all three datasets, we find that models reflect not unitary cognitive constructs, but rather neurocognitive scores intertwined with sociodemographic and clinical covariates; that is, models reflect stereotypical profiles, and fail when applied to individuals who defy them. Model failure is reliable, phenotype specific and generalizable across datasets. Together, these results highlight the pitfalls of a one-size-fits-all modelling approach and the effect of biased phenotypic measures18-20 on the interpretation and utility of resulting brain-phenotype models. We present a framework to address these issues so that such models may reveal the neural circuits that underlie specific phenotypes and ultimately identify individualized neural targets for clinical intervention.

Abnormal levels of mitochondrial Ca2+ channel proteins in plasma neuron-derived extracellular vesicles of early schizophrenia.

Structural alterations or quantitative abnormalities of some mitochondrial ion channels and exchangers are associated with altered neuronal functions and increased susceptibility to mental illness. Here we have assessed levels of functionally prominent mitochondrial calcium ion channel proteins in plasma neuron-derived extracellular vesicles (NDEVs) of living patients with first episodes of psychosis (FP) and matched controls (Cs). NDEVs were enriched with an established method of precipitation and immunoabsorption by anti-human CD171 neural adhesion protein (L1CAM) antibody and extracted proteins quantified with ELISAs. CD81 exosome marker-normalized NDEV levels of leucine zipper EF-hand containing transmembrane 1 protein (LETM1), transient receptor potential cation channel subfamily M, member 4 (TRPM4), and solute carrier family 8 member B1 (SLC24A6) or mitochondrial Na+ /Ca2+ exchanger (NCLX) were significantly lower for FP patients (n = 10) than Cs (n = 10), whereas NDEV levels of voltage-dependent L-type calcium channel subunit α-1C (CACNA-1C) were significantly higher for FP patients than Cs. Abnormal structures or mitochondrial levels of LETM1, NCLX, and CACNA-1C have been linked through analyses of individual proteins, genome-wide association studies, and whole exome protein-coding sequence studies to neurodevelopmental disorders, mental retardation, schizophrenia, and major depressive diseases. A greater understanding of the altered calcium homeostasis in schizophrenia, that is attributable to underlying mitochondrial calcium channel abnormalities, will lead to improved diagnosis and treatment.

Reducing Delay From Referral to Admission at a U.S. First-Episode Psychosis Service: A Quality Improvement Initiative.

Duration of untreated psychosis (DUP), the period between psychosis onset and entry into care, is a time of great vulnerability. Longer DUP predicts poorer outcomes, and delayed treatment access can limit the effectiveness of coordinated specialty care (CSC) services. This column details one component of a broader early detection campaign, a quality improvement intervention focusing on reducing the delay between confirmation of eligibility and admission to care within a benchmark period of 7 days. Median delay significantly fell (from 13.5 to 3 days), and the proportion of admissions that met the benchmark increased (from 33% to 71%) over 4 years. This intervention provides a sustainable model to reduce wait times at CSC services.