The clinical significance of duration of untreated psychosis: an umbrella review and random-effects meta-analysis

Factors associated with improved outcomes in the first psychotic episode at a specialized outpatient clinic in northeastern Brazil

OBJECTIVES

The present study aimed to evaluate data from patients admitted to the first-episode psychotic (FEP) outpatient clinic at the Hospital of Clinics of the Federal University of Pernambuco from July 2018 to July 2021, seeking to identify factors related to better clinical outcomes.

METHODS

This study was conducted using a convenience sample, including all patients between 15 and 65 years of age who were admitted to the FEP outpatient clinic from July 2018 to July 2021. Descriptive statistical analysis was performed using mean and standard deviation or median and interquartile range for continuous quantitative variables, and absolute number/percentage for qualitative variables. Paired T-test, a parametric test, was used to compare PANSS scores upon admission and after 6 months. Spearman's correlation test was employed to assess the correlation between duration of untreated psychosis (DUP) and treatment response with other variables.

RESULTS

The sample consisted of 85.3% male individuals, with 50% of patients aged between 19 and 30 years, and 82% residing in the metropolitan area of Recife. Seventy percent of patients responded to the treatment implemented by the outpatient clinic, and only 30% required psychiatric hospitalization within 6 months of follow-up. The majority of patients had a history of psychoactive substance use (82.4%); however, the use of these substances did not impact the prognosis within the analysed sample. The median DUP was 4 weeks, and a shorter DUP was associated with a lower probability of psychiatric hospitalization and a greater treatment response (reduction >50% in PANSS).

CONCLUSION

A shorter DUP was associated with a lower likelihood of psychiatric hospitalization and a greater treatment response. Furthermore, the specialized early psychosis outpatient clinic itself appears to yield positive outcomes, as 70% of the treated patients exhibited a positive treatment response.

Sociodemographic and clinical correlates of hallucinations in patients entering an early intervention program for first episode psychosis

Hallucinations are a core feature of psychosis, and their severity during the acute phase of illness is associated with a range of poor outcomes. Various clinical and sociodemographic factors may predict hallucinations and other positive psychotic symptoms in first episode psychosis (FEP). Despite this, the precise factors associated with hallucinations at first presentation to an early intervention service have not been extensively researched. Through detailed interviews and chart reviews, we investigated sociodemographic and clinical predictors in 636 minimally-medicated patients who entered PEPP-Montréal, an early intervention service for FEP, between 2003 and 2018. Hallucinations were measured using the Scale for the Assessment of Positive Symptoms (SAPS), while negative symptoms were assessed using the Scale for the Assessment of Negative symptoms (SANS). Depressive symptoms were evaluated through the Calgary Depression Scale for Schizophrenia (CDSS), and anxiety symptoms via the Hamilton Rating Scale for Anxiety (HAS). A majority (n = 381, 59.9 %) of the sample presented with clinically significant hallucinations (SAPS global hallucinations score ≥ 3) at program entry. These patients had an earlier age at onset, fewer years of education, and a higher severity of delusions, depression and negative symptoms than those without clinical-level hallucinations. These results suggest that individuals with clinically significant hallucinations at admission tend to be younger and have a greater overall symptom burden. This makes it especially important to monitor hallucinations alongside delusions, depression and negative symptoms in order to identify who might benefit from targeted interventions. The implications of these findings for early intervention and person-centered care are discussed.

Patient-reported outcome measures in early psychosis: A cross-cultural, longitudinal examination of the self-reported health and self-reported mental health measures in Chennai, India and Montreal, Canada

OBJECTIVE

Despite their acknowledged value, patient-reported outcome measures (PROMs) are infrequently used in psychosis, particularly in low-and middle-income countries. We compared ratings on two single-item PROMs, Self-Rated Health (SRH) and Self-Rated Mental Health (SRMH), of persons receiving similar early psychosis services in Chennai, India and Montreal, Canada. We hypothesized greater improvements in SRH and SRMH in the Chennai (compared to the Montreal) sample.

METHODS

Participants (Chennai N = 159/168 who participated in the larger study; Montreal N = 74/165 who participated in the larger study) completed the SRH and SRMH during at least two out of three timepoints (entry, months 12 and 24). Repeated measures proportional odds logistic regressions examined the effects of time (baseline to month 24), site, and relevant baseline (e.g., gender) and time-varying covariates (i.e., symptoms) on SRH and SRMH scores.

RESULTS

SRH (but not SRMH) scores significantly differed between the sites at baseline, with Chennai patients reporting poorer health (OR: 0.33; CI: 0.18, 0.63). While Chennai patients reported similar significant improvements in their SRH (OR: 7.03; CI: 3.13; 15.78) and SRMH (OR: 2.29, CI: 1.03, 5.11) over time, Montreal patients only reported significant improvements in their SRMH. Women in Chennai (but not Montreal) reported lower mental health than men. Higher anxiety and longer durations of untreated psychosis were associated with poorer SRH and SRMH, while negative symptoms were associated with SRH.

CONCLUSIONS

As hypothesized, Chennai patients reported greater improvements in health and mental health. The marked differences between health and mental health in Montreal, in contrast to the overlap between the two in Chennai, aligns with previous findings of clearer distinctions between mind and body in Western societies. Cross-context (e.g., anxiety) and context-specific (e.g., gender) factors influence patients' health perceptions. Our results highlight the value of integrating simple PROMs in early psychosis.

Structural barriers to help-seeking in first-episode psychosis: A systematic review and thematic synthesis

AIM

Access to timely treatment is key to early intervention in psychosis. Despite this, barriers to treatment exist. In this review, we aimed to understand the structural barriers that patients and caregivers face in help-seeking for first-episode psychosis, and the recommendations provided to address these.

METHODS

We conducted a systematic review (PROSPERO: CRD42021274609) of qualitative studies reporting structural barriers to help-seeking from the patient or caregiver perspective. Searches were performed in September 2023, restricted to studies published from 2001. Study quality was appraised using Critical Appraisal Skills Programme. Data were analysed using thematic synthesis.

RESULTS

Nineteen papers from 11 countries were included. Across all papers, participants reported experiencing structural barriers to receiving healthcare. For many patients and caregivers, the process of accessing healthcare is complex. Access requires knowledge and resources from parents, caregivers and healthcare providers, yet too often there is a misalignment between patients' needs and service resources. Expertise amongst healthcare providers vary and some patients and caregivers experience negative encounters in healthcare. Patients highlighted earlier caregiver involvement and greater peer support as potential routes for improvement.

CONCLUSION

Patients and caregivers face multiple structural barriers, with legislative practices that discourage family involvement, and healthcare and transport costs found to be particularly problematic. Understanding these barriers can facilitate the co-design of both new and existing services to provide easier access for patients and caregivers. Further research is needed focusing not only on the perspectives of patients and caregivers who have accessed professional help but also crucially on those who have not.

Overcoming the barriers to identifying and managing treatment-resistant schizophrenia and to improving access to clozapine: A narrative review and recommendation for clinical practice

Clozapine is the only approved antipsychotic for treatment-resistant schizophrenia (TRS). Although a large body of evidence supports its efficacy and favorable risk-benefit ratio in individuals who have failed two or more antipsychotics, clozapine remains underused. However, variations in clozapine utilization across geographic and clinical settings suggest that it could be possible to improve its use. In this narrative review and expert opinion, we summarized information available in the literature on the mechanisms of action, effectiveness, and potential adverse events of clozapine. We identified barriers leading to discouragement in clozapine prescription internationally, and we proposed practical solutions to overcome each barrier. One of the main obstacles identified to the use of clozapine is the lack of appropriate training for physicians: we highlighted the need to develop specific professional programs to train clinicians, both practicing and in residency, on the relevance and efficacy of clozapine in TRS treatment, initiation, maintenance, and management of potential adverse events. This approach would facilitate physicians to identify eligible patients and offer clozapine as a treatment option in the early stage of the disease. We also noted that increasing awareness of the benefits of clozapine among healthcare professionals, people with TRS, and their caregivers can help promote the use of clozapine. Educational material, such as leaflets or videos, could be developed and distributed to achieve this goal. The information provided in this article may be useful to improve disease burden and support healthcare professionals, patients, and caregivers navigating the complex pathways to TRS management.

Functional and structural alterations in different durations of untreated illness in the frontal and parietal lobe in major depressive disorder

Major depressive disorder (MDD) is one of the most disabling illnesses that profoundly restricts psychosocial functions and impairs quality of life. However, the treatment rate of MDD is surprisingly low because the availability and acceptability of appropriate treatments are limited. Therefore, identifying whether and how treatment delay affects the brain and the initial time point of the alterations is imperative, but these changes have not been thoroughly explored. We investigated the functional and structural alterations of MDD for different durations of untreated illness (DUI) using regional homogeneity (ReHo) and voxel-based morphometry (VBM) with a sample of 125 treatment-naïve MDD patients and 100 healthy controls (HCs). The MDD patients were subgrouped based on the DUI, namely, DUI ≤ 1 M, 1 < DUI ≤ 6 M, 6 < DUI ≤ 12 M, and 12 < DUI ≤ 48 M. Subgroup comparison (MDD with different DUIs) was applied to compare ReHo and grey matter volume (GMV) extracted from clusters of regions with significant differences (the pooled MDD patients relative to HCs). Correlations and mediation effects were analysed to estimate the relationships between the functional and structural neuroimaging changes and clinical characteristics. MDD patients exhibited decreased ReHo in the left postcentral gyrus and precentral gyrus and reduced GMV in the left middle frontal gyrus and superior frontal gyrus relative to HCs. The initial functional abnormalities were detected after being untreated for 1 month, whereas this duration was 3 months for GMV reduction. Nevertheless, a transient increase in ReHo was observed after being untreated for 3 months. No significant differences were discovered between HCs and MDD patients with a DUI less than 1 month or among MDD patients with different DUIs in either ReHo or GMV. Longer DUI was related to reduced ReHo with GMV as mediator in MDD patients. We identified disassociated functional and anatomical alterations in treatment-naïve MDD patients at different time points in distinct brain regions at the early stage of the disease. Additionally, we also discovered that GMV mediated the relationship between a longer DUI and diminished ReHo in MDD patients, disclosing the latent deleterious and neuro-progressive implications of DUI on both the structure and function of the brain and indicating the necessity of early treatment of MDD.

Association between semen parameters and recurrent pregnancy loss: An umbrella review of meta-analyses

AIM

Recurrent pregnancy loss (RPL) is a common clinical reproductive problem. With research advancements, an increasing number of studies have suggested that male factors play an important role in RPL. However, the evaluation results of male sperm quality in published meta-analyses are inconsistent. We aimed to summarize the evidence of the association between semen factors and RPL and evaluate the level and validity of the evidence.

METHODS

We searched PubMed, Cochrane Library, EMBASE, Web of Science, and Scopus databases for systematic reviews or meta-analyses to evaluate the association between male semen parameters and RPL. The methodological quality of the included meta-analyses was assessed, and data and evidence were re-synthesized and stratified using a random-effects model.

RESULTS

Seven meta-analyses and nine semen parameters were included in the final analysis. The methodological quality of all publications was considered low or very low. There was highly suggestive evidence for the association between sperm DNA fragmentation (SDF), sperm progressive motility rate, and RPL (class II). The evidence level for the association between sperm concentration, normal sperm morphology, sperm deformity rate, total motility, and RPL was suggestive evidence (class III). The evidence level for the association between sperm volume and sperm count and RPL was weak (class IV). There was no significant association between sperm pH and RPL (class NS).

CONCLUSIONS

Our results suggest level II evidence for the association between male SDF and RPL, while the evidence level for the association between conventional semen routine parameters and RPL was low (classes III and IV).

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

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

Identifying Psychosis Episodes in Psychiatric Admission Notes via Rule-based Methods, Machine Learning, and Pre-Trained Language Models

Early and accurate diagnosis is crucial for effective treatment and improved outcomes, yet identifying psychotic episodes presents significant challenges due to its complex nature and the varied presentation of symptoms among individuals. One of the primary difficulties lies in the underreporting and underdiagnosis of psychosis, compounded by the stigma surrounding mental health and the individuals' often diminished insight into their condition. Existing efforts leveraging Electronic Health Records (EHRs) to retrospectively identify psychosis typically rely on structured data, such as medical codes and patient demographics, which frequently lack essential information. Addressing these challenges, our study leverages Natural Language Processing (NLP) algorithms to analyze psychiatric admission notes for the diagnosis of psychosis, providing a detailed evaluation of rule-based algorithms, machine learning models, and pre-trained language models. Additionally, the study investigates the effectiveness of employing keywords to streamline extensive note data before training and evaluating the models. Analyzing 4,617 initial psychiatric admission notes (1,196 cases of psychosis versus 3,433 controls) from 2005 to 2019, we discovered that the XGBoost classifier employing Term Frequency-Inverse Document Frequency (TF-IDF) features derived from notes pre-selected by expert-curated keywords, attained the highest performance with an F1 score of 0.8881 (AUROC [95% CI]: 0.9725 [0.9717, 0.9733]). BlueBERT demonstrated comparable efficacy an F1 score of 0.8841 (AUROC [95% CI]: 0.97 [0.9580,0.9820]) on the same set of notes. Both models markedly outperformed traditional International Classification of Diseases (ICD) code-based detection methods from discharge summaries, which had an F1 score of 0.7608, thus improving the margin by 0.12. Furthermore, our findings indicate that keyword pre-selection markedly enhances the performance of both machine learning and pre-trained language models. This study illustrates the potential of NLP techniques to improve psychosis detection within admission notes and aims to serve as a foundational reference for future research on applying NLP for psychosis identification in EHR notes.

Identifying Psychosis Episodes in Psychiatric Admission Notes via Rule-based Methods, Machine Learning, and Pre-Trained Language Models

Early and accurate diagnosis is crucial for effective treatment and improved outcomes, yet identifying psychotic episodes presents significant challenges due to its complex nature and the varied presentation of symptoms among individuals. One of the primary difficulties lies in the underreporting and underdiagnosis of psychosis, compounded by the stigma surrounding mental health and the individuals' often diminished insight into their condition. Existing efforts leveraging Electronic Health Records (EHRs) to retrospectively identify psychosis typically rely on structured data, such as medical codes and patient demographics, which frequently lack essential information. Addressing these challenges, our study leverages Natural Language Processing (NLP) algorithms to analyze psychiatric admission notes for the diagnosis of psychosis, providing a detailed evaluation of rule-based algorithms, machine learning models, and pre-trained language models. Additionally, the study investigates the effectiveness of employing keywords to streamline extensive note data before training and evaluating the models. Analyzing 4,617 initial psychiatric admission notes (1,196 cases of psychosis versus 3,433 controls) from 2005 to 2019, we discovered that the XGBoost classifier employing Term Frequency-Inverse Document Frequency (TF-IDF) features derived from notes pre-selected by expert-curated keywords, attained the highest performance with an F1 score of 0.8881 (AUROC [95% CI]: 0.9725 [0.9717, 0.9733]). BlueBERT demonstrated comparable efficacy an F1 score of 0.8841 (AUROC [95% CI]: 0.97 [0.9580, 0.9820]) on the same set of notes. Both models markedly outperformed traditional International Classification of Diseases (ICD) code-based detection methods from discharge summaries, which had an F1 score of 0.7608, thus improving the margin by 0.12. Furthermore, our findings indicate that keyword pre-selection markedly enhances the performance of both machine learning and pre-trained language models. This study illustrates the potential of NLP techniques to improve psychosis detection within admission notes and aims to serve as a foundational reference for future research on applying NLP for psychosis identification in EHR notes.

Duration of Untreated Psychosis and Outcomes in First-Episode Psychosis: Systematic Review and Meta-analysis of Early Detection and Intervention Strategies

BACKGROUND

The role of duration of untreated psychosis (DUP) as an early detection and intervention target to improve outcomes for individuals with first-episode psychosis is unknown.

STUDY DESIGN

PRISMA/MOOSE-compliant systematic review to identify studies until February 1, 2023, with an intervention and a control group, reporting DUP in both groups. Random effects meta-analysis to evaluate (1) differences in DUP in early detection/intervention services vs the control group, (2) the efficacy of early detection strategies regarding eight real-world outcomes at baseline (service entry), and (3) the efficacy of early intervention strategies on ten real-world outcomes at follow-up. We conducted quality assessment, heterogeneity, publication bias, and meta-regression analyses (PROSPERO: CRD42020163640).

STUDY RESULTS

From 6229 citations, 33 intervention studies were retrieved. The intervention group achieved a small DUP reduction (Hedges' g = 0.168, 95% CI = 0.055-0.283) vs the control group. The early detection group had better functioning levels (g = 0.281, 95% CI = 0.073-0.488) at baseline. Both groups did not differ regarding total psychopathology, admission rates, quality of life, positive/negative/depressive symptoms, and employment rates (P > .05). Early interventions improved quality of life (g = 0.600, 95% CI = 0.408-0.791), employment rates (g = 0.427, 95% CI = 0.135-0.718), negative symptoms (g = 0.417, 95% CI = 0.153-0.682), relapse rates (g = 0.364, 95% CI = 0.117-0.612), admissions rates (g = 0.335, 95% CI = 0.198-0.468), total psychopathology (g = 0.298, 95% CI = 0.014-0.582), depressive symptoms (g = 0.268, 95% CI = 0.008-0.528), and functioning (g = 0.180, 95% CI = 0.065-0.295) at follow-up but not positive symptoms or remission (P > .05).

CONCLUSIONS

Comparing interventions targeting DUP and control groups, the impact of early detection strategies on DUP and other correlates is limited. However, the impact of early intervention was significant regarding relevant outcomes, underscoring the importance of supporting early intervention services worldwide.

Duration of the psychosis prodrome and its relationship to duration of untreated psychosis across all 12 DSM-IV psychotic diagnoses: Evidence for a trans-diagnostic process associated with resilience

While duration of the psychosis prodrome (DPP) attracts attention in relation to the developmental trajectory of psychotic illness and service models, fundamental issues endure in the context of dimensional-spectrum models of psychosis. Among 205 epidemiologically representative subjects in the Cavan-Monaghan First Episode Psychosis Study, DPP was systematically quantified and compared, for the first time, across all 12 DSM-IV psychotic diagnoses. DPP was also compared with duration of untreated psychosis (DUP) and each was then analysed in relation to premorbid features across three age ranges: <12, 12-15 and 16-18 years. For each diagnosis, medians for both DPP and DUP were shorter than means, indicating common right-skewed distributions. Rank orders for both DPP and DUP were longest for schizophrenia, intermediate for other schizophrenia-spectrum psychoses, psychotic depression and psychotic disorder not otherwise specified, and shortest for brief psychotic disorder, bipolar disorder and substance-induced psychotic disorder, though with overlapping right-skewed distributions. DPP was longer than DUP for all diagnoses except substance-induced psychotic disorder. Across functional psychotic diagnoses, longer DPP was predicted by higher premorbid intelligence and better premorbid adjustment during age 16-18 years. These findings indicate that, trans-diagnostically, DPP and DUP share right-skewed continuities, in accordance with a dimensional-spectrum model of psychotic illness, and may reflect a unitary process that has been dichotomized at a subjective threshold along its trajectory. Better premorbid functioning during age 16-18 years appears to confer resilience by delaying progression to overt psychotic symptoms and may constitute a particular target period for psychosocial interventions.

What is the duration of untreated psychosis worldwide? - A meta-analysis of pooled mean and median time and regional trends and other correlates across 369 studies

Duration of untreated psychosis (DUP) has been associated with poor mental health outcomes. We aimed to meta-analytically estimate the mean and median DUP worldwide, evaluating also the influence of several moderating factors. This PRISMA/MOOSE-compliant meta-analysis searched for non-overlapping individual studies from inception until 9/12/2022, reporting mean ± s.d. or median DUP in patients with first episode psychosis (FEP), without language restrictions. We conducted random-effect meta-analyses, stratified analyses, heterogeneity analyses, meta-regression analyses, and quality assessment (PROSPERO:CRD42020163640). From 12 461 citations, 369 studies were included. The mean DUP was 42.6 weeks (95% confidence interval (CI) 40.6-44.6, k = 283, n = 41 320), varying significantly across continents (p < 0.001). DUP was (in descending order) 70.0 weeks (95% CI 51.6-88.4, k = 11, n = 1508) in Africa; 48.8 weeks (95% CI 43.8-53.9, k = 73, n = 12 223) in Asia; 48.7 weeks (95% CI 43.0-54.4, k = 36, n = 5838) in North America; 38.6 weeks (95% CI 36.0-41.3, k = 145, n = 19 389) in Europe; 34.9 weeks (95% CI 23.0-46.9, k = 11, n = 1159) in South America and 28.0 weeks (95% CI 20.9-35.0, k = 6, n = 1203) in Australasia. There were differences depending on the income of countries: DUP was 48.4 weeks (95% CI 43.0-48.4, k = 58, n = 5635) in middle-low income countries and 41.2 weeks (95% CI 39.0-43.4, k = 222, n = 35 685) in high income countries. Longer DUP was significantly associated with older age (β = 0.836, p < 0.001), older publication year (β = 0.404, p = 0.038) and higher proportion of non-White FEP patients (β = 0.232, p < 0.001). Median DUP was 14 weeks (Interquartile range = 8.8-28.0, k = 206, n = 37 215). In conclusion, DUP is high throughout the world, with marked variation. Efforts to identify and intervene sooner in patients with FEP, and to promote global mental health and access to early intervention services (EIS) are critical, especially in developing countries.

Cognitive Inflexibility Predicts Negative Symptoms Severity in Patients with First-Episode Psychosis: A 1-Year Follow-Up Study

Negative symptoms and cognitive deficits play a major role in psychosis and significantly influence the functional outcomes of patients, particularly those with a first episode of psychosis (FEP). However, limited research has explored the predictive capacity of cognitive deficits during FEP for subsequent negative symptomatology. Drawing from the Athens FEP research study, we conducted a retrospective longitudinal study in 80 individuals with FEP. All patients were drug naive at admission. Cognitive tests were administered at 1-month and 1-year post-admission, while negative symptomatology was assessed at the same time points using PANSS by trained raters. We considered confounding factors such as age, gender, duration of untreated psychosis (DUP), treatment received, premorbid social adjustment, and premorbid IQ. Univariate regression analysis identified cognitive domains that correlated with negative symptomatology. These, along with the confounders, were incorporated into a multiple regression, with the 1-year PANSS negative scale serving as the dependent variable. Employing the backward elimination technique, we found a statistically significant inverse relationship between the categories completed in the Wisconsin card sorting test (WCST) and the 1-year PANNS negative scale (p = 0.01), beyond the associations with DUP and the 1-month PANSS negative scale. Our results suggest that cognitive flexibility, a key component of executive functions, predicts negative symptom severity one year after FEP.

French validation of the barriers to access to care evaluation (BACE-3) scale

BACKGROUND

The aim of this study was to develop and evaluate a French version of the Barriers to Access to Care Evaluation (BACE-3) scale that is tailored to the socio-cultural and language setting of the study.

METHODS

The translation of the BACE-3 into French and its validation were the two key components of this psychometric investigation. An online survey was created and circulated to French-speaking participants who volunteered to participate in the study.

RESULTS

For all translated questions, the reliability analysis key results (Cronbach's alpha and McDonald's Omega) were both>0.95, which is an excellent reliability value. The BACE-3 items were shown to be positively related to one another, implying excellent validity. Results of exploratory and confirmatory factor analyses showed that all stigma-related items were loaded under the same factor.

CONCLUSIONS

The BACE-3 has been validated in French, and its psychometric qualities have been thoroughly evaluated and found to be excellent.

A clinical investigation of psychotic vulnerability in early-onset Obsessive-Compulsive Disorder through Cognitive-Perceptive basic symptoms

Childhood-onset Obsessive-Compulsive Disorder (OCD) shows distinct comorbidity patterns and developmental pathways, as well as an increased risk of psychosis with respect to adult-onset forms. Nevertheless, little is known about the prodromal symptoms of psychosis in children and adolescents with a primary diagnosis of OCD. The present study was aimed at evaluating the occurrence of Cognitive-Perceptual basic symptoms (COPER) and high- risk criterion Cognitive Disturbances (COGDIS) in pediatric and adults OCD patients, verifying if they might vary according to the age of onset of OCD. The study included 90 outpatients with a primary diagnosis of obsessive-compulsive disorder. The study sample was collapsed into three groups according to the age at onset: 1) very early onset group (< 10 years); 2) early onset group (11-18 years); 3) adult-onset group (> 18 years). All patients were administered the Yale-Brown Obsessive- Compulsive Scale (Y-BOCS) and its Child version (CY-BOCS), the Schizophrenia Proneness Instrument-Adult (SPIA) and its Child and Adolescent version (SPI-CY) and the Social and Occupational Functioning Assessment Scale (SOFAS). COPER and COGDIS symptoms were positively associated with OCD severity and detectable, respectively, in 28.9 and 26.7% of our study sample. The very early onset group significantly had higher COPER and COGDIS symptoms than the adult-onset group. Our data suggest that COPER and COGDIS symptoms are frequent in obsessive patients, in particular in those with earlier onset; therefore, their detection in childhood-onset OCD may represent an early and specific indicator of psychotic vulnerability.

EEG microstate D as psychosis-specific correlate in adolescents and young adults with clinical high risk for psychosis and first-episode psychosis

Resting-state electroencephalography (EEG) microstates are brief periods (60-120 ms) of quasi-stable scalp field potentials, indicating simultaneous activity of large-scale networks. Microstates are assumed to reflect basic neuronal information processing. A common finding in psychosis spectrum disorders is that microstates classes C and D are altered. Whereas evidence in adults with schizophrenia is substantial, little is known about effects in underage patients, particularly in those at clinical high risk for psychosis (CHR) and first-episode psychosis (FEP). The present study used 74-channel EEG to investigate microstate effects in a large sample of patients with CHR (n = 100) and FEP (n = 33), clinical controls (CC, n = 18), as well as age-matched healthy controls (HC, n = 68). Subjects span an age range from 9 to 35 years, thus, covering underage patients as well as the most vulnerable period for the emergence of psychosis and its prodrome. Four EEG microstates classes were analyzed (A-D). In class D, CHR and FEP patients showed a decrease compared to HC, and CHR patients also to CC. An increase in class C was found in CHR and FEP compared to HC but not to CC. Results were independent of age and no differences were found between the psychosis spectrum groups. The findings suggest an age-independent decrease of microstate class D to be specific to the psychosis spectrum, whereas the increase in class C seems to reflect unspecific psychopathology. Overall, present data strengthens the role of microstate D as potential biomarker for psychosis, as early as in adolescence and already in CHR status.

The schizophrenia syndrome, circa 2024: What we know and how that informs its nature

With new data about different aspects of schizophrenia being continually generated, it becomes necessary to periodically revisit exactly what we know. Along with a need to review what we currently know about schizophrenia, there is an equal imperative to evaluate the construct itself. With these objectives, we undertook an iterative, multi-phase process involving fifty international experts in the field, with each step building on learnings from the prior one. This review assembles currently established findings about schizophrenia (construct, etiology, pathophysiology, clinical expression, treatment) and posits what they reveal about its nature. Schizophrenia is a heritable, complex, multi-dimensional syndrome with varying degrees of psychotic, negative, cognitive, mood, and motor manifestations. The illness exhibits a remitting and relapsing course, with varying degrees of recovery among affected individuals with most experiencing significant social and functional impairment. Genetic risk factors likely include thousands of common genetic variants that each have a small impact on an individual's risk and a plethora of rare gene variants that have a larger individual impact on risk. Their biological effects are concentrated in the brain and many of the same variants also increase the risk of other psychiatric disorders such as bipolar disorder, autism, and other neurodevelopmental conditions. Environmental risk factors include but are not limited to urban residence in childhood, migration, older paternal age at birth, cannabis use, childhood trauma, antenatal maternal infection, and perinatal hypoxia. Structural, functional, and neurochemical brain alterations implicate multiple regions and functional circuits. Dopamine D-2 receptor antagonists and partial agonists improve psychotic symptoms and reduce risk of relapse. Certain psychological and psychosocial interventions are beneficial. Early intervention can reduce treatment delay and improve outcomes. Schizophrenia is increasingly considered to be a heterogeneous syndrome and not a singular disease entity. There is no necessary or sufficient etiology, pathology, set of clinical features, or treatment that fully circumscribes this syndrome. A single, common pathophysiological pathway appears unlikely. The boundaries of schizophrenia remain fuzzy, suggesting the absence of a categorical fit and need to reconceptualize it as a broader, multi-dimensional and/or spectrum construct.

Pre-onset subthreshold psychotic symptoms are associated with differential treatment delays before a first episode of psychosis: Initial evidence and implications

BACKGROUND

Help-seeking and treatment delays are increasingly critical areas of study in mental health services. The duration of untreated psychosis (DUP), or the time between illness onset and initiation of treatment, is a predictor of symptom remission and functioning for a first episode of psychosis (FEP). The World Health Organization recommends that specialized treatment for psychosis be initiated within the first three months of FEP onset. As a result, research has focused on factors that are associated with threshold-level DUP, while the experience of subthreshold psychotic symptoms (STPS) prior to a FEP may also complicate and present barriers to accessing care for young people. We therefore examine the possibility that STPS can impact DUP and its components.

METHOD

Using a follow-back cross-sectional design, we sought to describe duration of untreated illness, length of prodrome, DUP, help-seeking delay, referral delay, and number of help-seeking contacts among FEP patients who did and did not have STPS prior to psychosis onset.

RESULTS

We found that patients who experienced STPS had a longer median duration of untreated illness, prodrome length, DUP, and help-seeking delay compared to patients who did not have such symptoms. Referral delay did not differ substantially between the two groups. Importantly, treatment delays were extremely lengthy for many participants.

CONCLUSIONS

Pre-onset STPS are associated with help-seeking delays along the pathway to care even during a FEP. Examining early signs and symptoms may help to improve and tailor interventions aimed at reducing treatment delays and ultimately providing timely care when the need arises.

Duration of untreated illness in gambling disorder

OBJECTIVE

Gambling disorder is common, affects 0.5-2% of the population, and is under-treated. Duration of untreated illness (DUI) has emerged as a clinically important concept in the context of other mental disorders, but DUI in gambling disorder, has received little research scrutiny.

METHODS

Data were aggregated from previous clinical trials in gambling disorder with people who had never previously received any treatment. DUI was quantified, and clinical characteristics were compared as a function of DUI status.

RESULTS

A total of 298 individuals were included, and the mean DUI (standard deviation) was 8.9 (8.4) years, and the median DUI was 6 years. Longer DUI was significantly associated with male gender, older age, earlier age when the person first started to gamble, and family history of alcohol use disorder. Longer DUI was not significantly associated with racial-ethnic status, gambling symptom severity, current depressive or anxiety severity, comorbidities, or disability/functioning. The two groups did not differ in their propensity to drop out of the clinical trials, nor in overall symptom improvement associated with participation in those trials.

CONCLUSIONS

These data suggest that gambling disorder has a relatively long DUI and highlight the need to raise awareness and foster early intervention for affected and at-risk individuals. Because earlier age at first gambling in any form was strongly linked to longer DUI, this highlights the need for more rigorous legislation and education to reduce exposure of younger people to gambling.

Global COVID-19 vaccine acceptance level and its determinants: an umbrella review

BACKGROUND

The COVID-19 vaccination is essential for reducing disease burden on a worldwide scale. The success of this strategy will largely depend on how well vaccines are received. Previous reviews had produced contradictory results, and there had been no umbrella review. Therefore, the objective of this umbrella review was to combine the contradictory data regarding the COVID-19 vaccination's global acceptance rate and its contributing factors.

METHODS

Using PRISMA guideline, PubMed, Embase, Scopus, Web of Sciences, Cochrane Database of Systematic Reviews, Scopus and Google Scholar which reported COVID-19 vaccine acceptance and/or its determinants were searched. The quality of the included studies was assessed using Assessment of Multiple Systematic Reviews (AMSTAR). A weighted inverse variance random-effects model was applied to find the pooled estimates. The subgroup analysis, heterogeneity, publication bias and sensitivity analysis were also assessed.

RESULT

Twenty-two SRM with 10,433,306 study participants were included. The pooled COVID-19 vaccine acceptance rate globally is found to be 60.23 (95% CI: 58.27, 62.18). In low-income countries, the pooled level of COVID-19 vaccine acceptance was found to be 54.07(50.31, 57.83) while this magnitude is 64.32 (62.24,66.40) among studies across the globe. Higher level of education (AOR =1.96; 95% CI:1.20, 2.73), good level of knowledge (2.20; 95% CI:1.36, 3.03), favourable attitude (AOR =4.50; 95% CI:2.89, 6.12), previous history of COVID-19 infection (AOR =3.41; 95% CI:1.77, 5.06), male sex (AOR =1.62; 95% CI:1.47, 1.77), and chronic disease (AOR =1.54; 95% CI:1.18, 1.90) were predictors of COVID-19 vaccine acceptance.

CONCLUSION

The pooled level of COVID-19 vaccine acceptance highly varied and found to be unacceptably low particularly in low-income countries. Higher level of education, good level of knowledge, favourable attitude, previous history of COVID-19, male sex, and chronic disease were factors of COVID-19 vaccine acceptance rate. A collaborative effort of stakeholders such as policymakers, and vaccine campaign program planners is needed to improve the acceptance rate of COVID-19 vaccine.

The Translational Future of Stress Neurobiology and Psychosis Vulnerability: A Review of the Evidence

Psychosocial stress is a well-established risk factor for psychosis, yet the neurobiological mechanisms underlying this relationship have yet to be fully elucidated. Much of the research in this field has investigated hypothalamic-pituitary-adrenal (HPA) axis function and immuno-inflammatory processes among individuals with established psychotic disorders. However, as such studies are limited in their ability to provide knowledge that can be used to develop preventative interventions, it is important to shift the focus to individuals with increased vulnerability for psychosis (i.e., high-risk groups). In the present article, we provide an overview of the current methods for identifying individuals at high-risk for psychosis and review the psychosocial stressors that have been most consistently associated with psychosis risk. We then describe a network of interacting physiological systems that are hypothesised to mediate the relationship between psychosocial stress and the manifestation of psychotic illness and critically review evidence that abnormalities within these systems characterise highrisk populations. We found that studies of high-risk groups have yielded highly variable findings, likely due to (i) the heterogeneity both within and across high-risk samples, (ii) the diversity of psychosocial stressors implicated in psychosis, and (iii) that most studies examine single markers of isolated neurobiological systems. We propose that to move the field forward, we require well-designed, largescale translational studies that integrate multi-domain, putative stress-related biomarkers to determine their prognostic value in high-risk samples. We advocate that such investigations are highly warranted, given that psychosocial stress is undoubtedly a relevant risk factor for psychotic disorders.

From operational diagnostic to dimensional-continuum concepts of psychotic and non-psychotic illness: Embracing catatonia across psychopathology and intrinsic movement disorder in neural network dysfunction

Psychiatry is currently negotiating several challenges that are typified by (but are not unique to) schizophrenia: do periodic refinements in operational diagnostic algorithms (a) resolve intricacies and subtleties within and between psychotic and non-psychotic disorders that are authentic and impactful, or (b) constitute arbitrary and porous boundaries that should be complemented, or even replaced, by dimensional-continuum concepts of abnormality and dysfunction. Critically, these issues relate not only to apparent boundaries between diagnoses but also to those between 'health' and 'illness'. This article considers catatonia within evolving dimensional-continuum approaches to the description of impairment and dysfunction among psychotic and non-psychotic disorders. It begins by considering the definition and assessment of catatonia vis-à-vis other disorders, followed by its long-standing conjunction with schizophrenia, relationship with antipsychotic drug treatment, transdiagnostic perspectives and relationships, and pathobiological processes. These appear to involve dysfunction across elements in overlapping neural networks that result in a confluence of psychopathology and intrinsic hypo- and hyperkinetic motor dysfunction. It has been argued that while current diagnostic approaches can have utility in defining groups of cases that are closely related, contemporary evidence indicates categorical diagnoses to be arbitrary divisions of what is essentially a continuous landscape. Psychotic and non-psychotic diagnoses, including catatonia, may reflect arbitrary areas around points of intersection between orthogonal dimensions of psychopathology and intrinsic movement disorder in a poly-dimensional space that characterises this continuous landscape of mental health and dysfunction.

Which factors are associated with duration of untreated illness in borderline personality disorder?

AIM

Borderline personality disorder (BPD) is a prevalent condition associated with high rates of hospitalizations. The purpose of this manuscript was to detect the factors associated with duration of untreated illness (DUI) in BPD.

METHODS

Through chart review, we identified 152 patients followed up by community psychiatry services in Milan and Monza, Italy. The association between DUI and socioeconomic and clinical variables was examined using Pearson correlation and analyses of variances. The statistically significant variables from univariate analyses were then inserted in regression models.

RESULTS

A longer DUI was associated with several variables (substance misuse after the onset of BPD, older age, earlier age at onset, longer duration of illness), but these results were not maintained in the regression analyses.

CONCLUSIONS

In conclusion, DUI does not seem to be significantly associated with specific clinical aspects of BPD, or significantly modify the course and outcome of the disorder. Studies with larger samples have to confirm these preliminary findings.

Cycles of reform in the history of psychosis treatment in the United States

The history of psychosis treatment follows a series of four cycles of reform which provide a framework for understanding mental health services in the United States. The first three cycles of reform promoted the view that early treatment of mental disorders would reduce chronic impairment and disability. The Moral Treatment era (early 1800's to 1890) featured freestanding asylums, the Mental Hygiene movement (1890 to World War II) introduced psychiatric hospitals and clinics, and the Community Mental Health Reform period (World War II to late 1970's) produced community mental health centers. None of these approaches succeeded in achieving the disability-prevention goals of early treatment of psychosis. The fourth cycle, the Community Support Reform era (late 1970's to the present) shifted the focus to caring for those already disabled by a mental disorder within their communities and using natural support systems. This shift embraced a broader social welfare framework and included additional services and supports, such as housing, case management, and education. Psychosis became more central during the current Community Support Reform era partly because individuals with psychosis continued to have disabling life experiences despite efforts at reform. Some degree of recovery from psychosis is possible, and individuals with serious impairment may move towards social integration and community participation. Early intervention for young people with psychosis focuses on reducing the negative sequelae of psychosis and promotes recovery-oriented changes in service delivery. The role of social control, the involvement of service users and their families, and the balance between psychosocial and biomedical treatments play an important role in this history. This paper describes the reform cycles, their political and policy contexts, and what influenced its successes and shortcomings.

Correlations between Negative Symptoms and Cognitive Deficits in Individuals at First Psychotic Episode or at High Risk of Psychosis: A Systematic Review

The present review aims to identify correlations between negative symptoms (NS) and deficits in neurocognition and social cognition in subjects with first-episode psychosis (FEP) and at-high-risk populations (HR). A systematic search of the literature published between 1 January 2005 and 31 December 2022 was conducted on PubMed, Scopus, and PsycInfo. Out of the 4599 records identified, a total of 32 studies met our inclusion/exclusion criteria. Data on a total of 3086 FEP and 1732 HR were collected. The available evidence shows that NS correlate with executive functioning and theory of mind deficits in FEP subjects, and with deficits in the processing speed, attention and vigilance, and working memory in HR subjects. Visual learning and memory do not correlate with NS in either FEP or HR subjects. More inconsistent findings were retrieved in relation to other cognitive domains in both samples. The available evidence is limited by sample and methodological heterogeneity across studies and was rated as poor or average quality for the majority of included studies in both FEP and CHR populations. Further research based on shared definitions of first-episode psychosis and at-risk states, as well as on more recent conceptualizations of negative symptoms and cognitive impairment, is highly needed.

Expanding Early Psychosis Care across a Large and Diverse State: Implementation Lessons Learned from Administrative Data and Clinical Team Leads in Texas

The U.S. is facing an unprecedented youth mental health crisis. Translating the findings from mental health intervention trials into large scale, accessible community-based services poses substantial challenges. Examination of state actions as a result of research-informed federal policy to improve youth access to quality mental healthcare is necessary. This mixed-methods study examines the implementation of evidence-informed multidisciplinary coordinated specialty care (CSC) for first-episode psychosis (FEP) services across Texas. The study explores CSC service model components, site location and participant characteristics, and implementation barriers. This cross-sectional study analyzes State of Texas public mental health administrative data from 2015 to 2020, including CSC site (n = 23) characteristics and CSC participant (n = 1682) demographics. Texas CSC site contracts were compared to OnTrackNY, a leading CSC model in the U.S. for CSC service element comparison. In-depth interviews with CSC Team Leads (n = 22) were analyzed to further understand CSC service elements and implementation barriers using qualitative content analysis. CSC was implemented across three waves in 2015, 2017, and 2019-serving 1682 participants and families. CSC sites were located in adult mental health programs; approximately one third of CSC participants were under 18 years. CSC implementation challenges reported by Team Leads included: staff role clarification, collaboration and turnover, community outreach and referrals, child and adult service billing issues, and adolescent and family engagement. Study findings have implications for large state-wide evidence-based practice implementation in transition-to-adulthood community mental health.

Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions

Background

Thought disorder (TD) is a sensitive and specific marker of risk for schizophrenia onset. Specifying factors that predict TD onset in adolescence is important to early identification of youth at risk. However, there is a paucity of studies prospectively predicting TD onset in unstratified youth populations.

Study Design

We used deep learning optimized with artificial intelligence (AI) to analyze 5,777 multimodal features obtained at 9-10 years from youth and their parents in the ABCD study, including 5,014 neural metrics, to prospectively predict new onset TD cases at 11-12 years. The design was replicated for all prevailing TD cases at 11-12 years.

Study Results

Optimizing performance with AI, we were able to achieve 92% accuracy and F1 and 0.96 AUROC in prospectively predicting the onset of TD in early adolescence. Structural differences in the left putamen, sleep disturbances and the level of parental externalizing behaviors were specific predictors of new onset TD at 11-12 yrs, interacting with low youth prosociality, the total parental behavioral problems and parent-child conflict and whether the youth had already come to clinical attention. More important predictors showed greater inter-individual variability.

Conclusions

This study provides robust person-level, multivariable signatures of early adolescent TD which suggest that structural differences in the left putamen in late childhood are a candidate biomarker that interacts with psychosocial stressors to increase risk for TD onset. Our work also suggests that interventions to promote improved sleep and lessen parent-child psychosocial stressors are worthy of further exploration to modulate risk for TD onset.

Risk and protective factors for recovery at 3-year follow-up after first-episode psychosis onset: a multivariate outcome approach

PURPOSE

Recovery in people with first-episode psychosis (FEP) remains a major issue. When risk factors are studied in relation to the disorder, potential protective factors should also be considered since they can modulate this relationship. This study is aimed at exploring which premorbid and baseline characteristics are associated with a good and poor global recovery in patients with FEP at 3-year follow-up.

METHODS

We categorized patients' outcome by using a Latent Class Analysis (LCA) considering a multimodal set of symptomatic and functional outcomes. A Mixed effects Models Repeated Measures analysis of variance (MMRM) was used to highlight group differences over time on symptomatic and functional outcomes assessed during the 3-year follow-up.

RESULTS

A total of 325 patients with FEP aged between 18 and 35 years were included. Two groups were identified. A total of 187 patients (57.5%) did not achieve recovery, and 138 patients (42.5%) achieved recovery. Recovered patients had generally a better premorbid and baseline profile in comparison with non-recovered patients (as among which shorter duration of untreated psychosis (DUP), higher degree of insight, better functional level and lower illness severity at baseline). The trajectories for the psychopathological and functional outcomes over 36 months differed between the non-recovered and the recovered group of patients.

CONCLUSIONS

Our results pointed to some variables associated with recovery, acting as potential protective factors. These should be considered for early intervention programs to promote psychological resilience specifically in those with a worse prognosis in order to mitigate the effects of the variables that make them more vulnerable to poorer outcome.

Can diffusion tensor imaging have a diagnostic utility to differentiate early-onset forms of bipolar disorder and schizophrenia: A neuroimaging study with explainable machine learning algorithms

BACKGROUND/AIM

Accurate diagnosis of early-onset psychotic disorders is crucial to improve clinical outcomes. This study aimed to differentiate patients with early-onset schizophrenia (EOS) from early-onset bipolar disorder (EBD) with machine learning (ML) algorithms using white matter tracts (WMT).

METHOD

Diffusion tensor imaging was obtained from adolescents with either EOS (n = 43) or EBD (n = 32). Global probabilistic tractography using an automated tract-based TRACULA software was performed to analyze the fractional anisotropy (FA) of forty-two WMT. The nested cross-validation was performed in feature selection and model construction. EXtreme Gradient Boosting (XGBoost) was applied to select the features that can give the best performance in the ML model. The interpretability of the model was explored with the SHApley Additive exPlanations (SHAP).

FINDINGS

The XGBoost algorithm identified nine out of the 42 major WMTs with significant predictive power. Among ML models, Support Vector Machine-Linear showed the best performance. Higher SHAP values of left acoustic radiation, bilateral anterior thalamic radiation, and the corpus callosum were associated with a higher likelihood of EOS.

CONCLUSIONS

Our findings suggested that ML models based on the FA values of major WMT reconstructed by global probabilistic tractography can unveil hidden microstructural aberrations to distinguish EOS from EBD.

Delays in transferring patients from prisons to secure psychiatric hospitals: An international systematic review

BACKGROUND

Transfer to a psychiatric hospital of prisoners who need inpatient treatment for a mental disorder is an important part of prison healthcare in the UK. It is an essential factor in ensuring the principle of equivalence in the treatment of prisoners. In England and Wales, delays in transferring unwell prisoners to hospital were identified by the 2009 Bradley Report. There has been no subsequent systematic review of progress in so doing nor a corresponding appraisal of transfer arrangements in other parts of the world.

AIM

To conduct a systematic review of international literature about transfers of mentally unwell individuals from prison to hospital for the treatment of mental disorder since 2009.

METHOD

Eight databases were searched for data-based publications using terms for prison and transfer to hospital from 1 January 2009 to 4 August 2022. Inclusion criteria limited transfer to arrangements for pre-trial and sentenced prisoners going to a health service hospital, excluding hospital orders made on the conclusion of criminal hearing.

RESULTS

In England, four articles were identified, all showing that transfer times remain considerably longer than the national targets of 14 days (range, 14 days to >9 months); one study from Scotland found shorter mean transfer times, but more patients had been transferred to psychiatric intensive care units than to secure forensic hospitals. There were only two studies that investigated prison to hospital transfers for mental disorder from outside the UK and only one reported time-to-transfer data.

CONCLUSIONS

Findings from this literature review highlight failures to resolve transfer delays in England and provide little evidence about the problem elsewhere. Given the lack of data, it is unclear whether other countries do not have this problem or simply that there has been no research interest in it. A possible confounding factor here is that, in some countries, all treatment for prisoners' mental disorders occurs in prison. However, the principle that prisons are not hospitals seems important when people need inpatient care. Prospective, longitudinal cohort studies are urgently needed to map transfer times and outcomes.

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.

The worldwide prevalence of self-reported psychological and behavioral symptoms in medical students: An umbrella review and meta-analysis of meta-analyses

OBJECTIVE

Medical students frequently experience a range of stressors, such as demanding academic requirements, competition and rivalry, self-doubt, and financial distress. As a result, they are at risk for psychological and behavioral symptoms (PBS) including: depression, anxiety, and sleep difficulties as well as maladaptive substance use.

METHODS

To determine the degree of risk for these symptoms, 13 databases, without language restriction., were searched.

RESULTS

A total of 32 meta-analyses were included in this umbrella review. A global analysis of all self-reported PBS combined yielded a pooled prevalence rate of 30.3% [26.9%; 33.7%]; 95% PI [2.2%; 58.3%]. The highest reported prevalence was for sleep problems 42.0% [35.6%; 48.4%], followed by stress 41.7% [35.3%; 48.1%], burnout 35.8% [25.7%; 45.8%], anxiety 32.5% [27.9%; 37.1%], depression 32.5% [28.8%; 36.1%], internet addiction 26.0% [5.5%; 46.5%], substance use 25.2% [18.9%; 31.6%], eating disorders 9.8% [1.1%; 18.4%], and suicidal thoughts/gestures/acts 8.9% [4.8%; 12.9%]. The prevalence estimates were deemed acceptable for all PBS.

CONCLUSION

The evidence shows that fully one-third of medical students experience a range of problematic PBS, likely attributable to the demanding and intense study environment, the hierarchical structure of medical training facilities, and the vulnerability of the young adulthood time period. Appropriately targeted assessment and intervention efforts are clearly warranted to decrease the psychological burden of medical student training. PROSPERO Identifier: CRD42023391800. Open Science Network (OSF) Identifier: DOI 10.17605/OSF.IO/SXQYN.

Impact of concomitant medications on the efficacy of immune checkpoint inhibitors: an umbrella review

Introduction

Cancer is a major global health concern, and immune checkpoint inhibitors (ICIs) offer a promising treatment option for cancer patients. However, the efficacy of ICIs can be influenced by various factors, including the use of concomitant medications.

Methods

We searched databases (PubMed, Embase, Cochrane Library, Web of Science) for systematic reviews and meta-analyses for systematic reviews and meta-analyses on the impact of concomitant medications on ICIs efficacy, published from inception to January 1, 2023. We evaluated the methodological quality of the included meta-analyses, and re-synthesized data using a random-effects model and evidence stratification.

Results

We included 23 publications, comprising 11 concomitant medications and 112 associations. Class II-IV evidence suggested that antibiotics have a negative impact on ICIs efficacy. However, ICIs efficacy against melanoma, hepatocellular carcinoma, and esophageal squamous cell carcinoma was not affected, this effect was related to the exposure window (class IV). Class III evidence suggested that proton pump inhibitors have a negative impact on ICIs efficacy; nevertheless, the efficacy against melanoma and renal cell carcinoma was not affected, and the effect was related to exposure before the initiation of ICIs therapy (class II). Although class II/III evidence suggested that steroids have a negative impact, this effect was not observed when used for non-cancer indications and immune-related adverse events (class IV). Class IV evidence suggested that opioids reduce ICIs efficacy, whereas statins and probiotics may improve ICIs efficacy. ICIs efficacy was not affected by histamine 2 receptor antagonists, aspirin, metformin, β-blockers, and nonsteroidal anti-inflammatory agents.

Conclusion

Current evidence suggests that the use of antibiotics, PPIs, steroids, and opioids has a negative impact on the efficacy of ICIs. However, this effect may vary depending on the type of tumor, the timing of exposure, and the intended application. Weak evidence suggests that statins and probiotics may enhance the efficacy of ICIs. Aspirin, metformin, β-blockers, and NSAIDs do not appear to affect the efficacy of ICIs. However, caution is advised in interpreting these results due to methodological limitations.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO,identifier, CRD42022328681.

Duration of Untreated Illness in Patients with Obsessive-Compulsive Disorder and Its Impact on Long-Term Outcome: A Systematic Review

Background: Duration of untreated illness (DUI)-defined as the time period between the onset of a mental disorder and its first adequate treatment-should influence patients' long-term prognosis and outcome. In patients with obsessive-compulsive disorder (OCD), DUI lasts on average from 87.5 up to 94.5 months, being significantly longer compared with data available from patients affected by other severe mental disorders, such as schizophrenia and bipolar disorder. We carried out a systematic review in order to assess the impact of DUI on long-term outcomes in OCD patients. Methods: A systemic review has been implemented, searching from inception to April 2023; only papers written in English were included. Results: Seventy-one articles were initially identified; only eight papers were included in the review. The DUI ranged from 7.0 ± 8.5 to 20.9 ± 11.2 years. Patients reporting a longer DUI have a poor long-term outcome in terms of lower level of treatment response and greater symptom severity. Conclusions: The present review confirms that longer DUI has a negative impact on the long-term outcome of patients with OCD. It should be useful to promote the dissemination of early interventions with a specific focus on OCD symptoms.

The potential of digital behavioural tests as a diagnostic aid for psychosis

Timely interventions have a proven benefit for people experiencing psychotic illness. One bottleneck to accessing timely interventions is the referral process to the specialist team for early psychosis (STEP). Many general practitioners lack awareness or confidence in recognising psychotic symptoms or state. Additionally, referrals for people without apparent psychotic symptoms, although beneficial at a population level, lead to excessive workload for STEPs. There is a clear unmet need for accurate stratification of STEPs users and healthy cohorts. Here we propose a new approach to addressing this need via the application of digital behavioural tests. To demonstrate that digital behavioural tests can be used to discriminate between the STEPs users (SU; n = 32) and controls (n = 32, age and sex matched), we compared performance of five different classifiers applied to objective, quantitative and interpretable features derived from the 'mirror game' (MG) and trail making task (TMT). The MG is a movement coordination task shown to be a potential socio-motor biomarker of schizophrenia, while TMT is a neuropsychiatric test of cognitive function. All classifiers had AUC in the range of 0.84-0.92. The best of the five classifiers (linear discriminant classifier) achieved an outstanding performance, AUC = 0.92 (95%CI 0.75-1), Sensitivity = 0.75 (95%CI 0.5-1), Specificity = 1 (95%CI 0.75-1), evaluated on 25% hold-out and 1000 folds. Performance of all analysed classifiers is underpinned by the large effect sizes of the differences between the cohorts in terms of the features used for classification what ensures generalisability of the results. We also found that MG and TMT are unsuitable in isolation to successfully differentiate between SU with and without at-risk-mental-state or first episode psychosis with sufficient level of performance. Our findings show that standardised batteries of digital behavioural tests could benefit both clinical and research practice. Including digital behavioural tests into healthcare practice could allow precise phenotyping and stratification of the highly heterogenous population of people referred to STEPs resulting in quicker and more personalised diagnosis. Moreover, the high specificity of digital behavioural tests could facilitate the identification of more homogeneous clinical high-risk populations, benefiting research on prognostic instruments for psychosis. In summary, our study demonstrates that cheap off-the-shelf equipment (laptop computer and a leap motion sensor) can be used to record clinically relevant behavioural data that could be utilised in digital mental health applications.

Impact of Treatment Initiation and Engagement on Deliberate Self-Harm Among Individuals With First-Episode Psychosis

OBJECTIVE

Individuals with psychosis are at increased risk for suicide, with the greatest risk being present during the first few months after diagnosis. The authors aimed to examine whether treatment initiation within 14 days of diagnosis and treatment engagement within 90 days of initiation reduce the risk for deliberate self-harm (DSH) among individuals with first-episode psychosis (FEP).

METHODS

A retrospective longitudinal cohort design was adopted by using Ohio Medicaid claims for 6,349 adolescents and young adults ages 15-24 years with FEP. Logistic regression was used to examine factors associated with treatment initiation and engagement. Cox proportional hazard models were used to estimate the impact of treatment initiation and engagement on DSH. Propensity score weighting was used to control for sociodemographic and clinical covariates.

RESULTS

Approximately 70% of the sample initiated treatment, 55% of whom engaged in treatment. Treatment initiation and engagement were associated with both demographic and clinical variables. Treatment initiation significantly reduced the hazard of DSH (average treatment effect in the entire population: hazard ratio [HR]=0.62, 95% CI=0.47-0.81; average treatment effect among those treated: HR=0.64, 95% CI=0.52-0.80). In contrast, treatment engagement was not significantly associated with DSH.

CONCLUSIONS

These results suggest that the initial treatment contact is essential for reducing DSH among adolescents and young adults with FEP. Additionally, the finding that treatment engagement did not reduce DSH suggests that standard clinical care may not be sufficient for reducing DSH in this population. These findings highlight the need for suicide-specific interventions for individuals with FEP.

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.

Improving Pathways to Care for Patients at High Psychosis Risk in Switzerland: PsyYoung Study Protocol

AIMS

Psychotic disorders are one of the main causes of chronic disability in young people. An at-risk mental state (ARMS) is represented by subclinical symptoms that precede the first episode of psychosis (FEP). The PsyYoung project aims to optimize the detection of an ARMS while reducing unnecessary psychiatric treatments. It investigates the effects of service changes on the referrals and outcomes of young people with ARMS or a FEP.

METHODS

Six psychiatric outpatient clinics in three cantons (Basel-Stadt, Vaud, and Geneva) participated in the project. They passed through an implementation phase including service changes and the adaptation of a standardized stepped care model for diagnosis and assessment, in addition to measures for increasing the awareness, networking and training of local professionals.

PRELIMINARY RESULTS

All participating cantons had entered the implementation phase. By March 2023, there were 619 referrals to participating sites. A total of 163 patients (37% FEP and 31% ARMS) and 15 close relatives had participated in individual longitudinal assessments, and 26 patients participated in qualitative interviews.

CONCLUSION

This national collaborative project addresses the issue of early intervention for emerging psychoses, and creates spaces for fruitful reflections and collaboration in Switzerland. The ultimate aim of PsyYoung is to harmonize clinical practices in early intervention of psychosis on a national level.

The synaptic hypothesis of schizophrenia version III: a master mechanism

The synaptic hypothesis of schizophrenia has been highly influential. However, new approaches mean there has been a step-change in the evidence available, and some tenets of earlier versions are not supported by recent findings. Here, we review normal synaptic development and evidence from structural and functional imaging and post-mortem studies that this is abnormal in people at risk and with schizophrenia. We then consider the mechanism that could underlie synaptic changes and update the hypothesis. Genome-wide association studies have identified a number of schizophrenia risk variants converging on pathways regulating synaptic elimination, formation and plasticity, including complement factors and microglial-mediated synaptic pruning. Induced pluripotent stem cell studies have demonstrated that patient-derived neurons show pre- and post-synaptic deficits, synaptic signalling alterations, and elevated, complement-dependent elimination of synaptic structures compared to control-derived lines. Preclinical data show that environmental risk factors linked to schizophrenia, such as stress and immune activation, can lead to synapse loss. Longitudinal MRI studies in patients, including in the prodrome, show divergent trajectories in grey matter volume and cortical thickness compared to controls, and PET imaging shows in vivo evidence for lower synaptic density in patients with schizophrenia. Based on this evidence, we propose version III of the synaptic hypothesis. This is a multi-hit model, whereby genetic and/or environmental risk factors render synapses vulnerable to excessive glia-mediated elimination triggered by stress during later neurodevelopment. We propose the loss of synapses disrupts pyramidal neuron function in the cortex to contribute to negative and cognitive symptoms and disinhibits projections to mesostriatal regions to contribute to dopamine overactivity and psychosis. It accounts for the typical onset of schizophrenia in adolescence/early adulthood, its major risk factors, and symptoms, and identifies potential synaptic, microglial and immune targets for treatment.

Systematic review and meta-analysis on predictors of prognosis in patients with schizophrenia spectrum disorders: An overview of current evidence and a call for prospective research and open access to datasets

BACKGROUND

Schizophrenia spectrum disorders (SSD) have heterogeneous outcomes. If we could predict individual outcome and identify predictors of outcome, we could personalize and optimize treatment and care. Recent research showed that recovery rates tend to stabilize early in the course of disease. Short- to medium- term treatment goals are most relevant for clinical practice.

METHODS

We performed a systematic review and meta-analysis to identify predictors of outcome ≤1 year in prospective studies of patients with SSD. For our meta-analysis risk of bias was assessed with the QUIPS tool.

RESULTS

178 studies were included for analysis. Our systematic review and meta-analysis showed that the chance of symptomatic remission was lower in males, and in patients with longer duration of untreated psychosis, more symptoms, worse global functioning, more previous hospital admissions and worse treatment adherence. The chance of readmission was higher for patients with more previous admissions. The chance of functional improvement was lower in patients with worse functioning at baseline. For other proposed predictors of outcome, like age at onset and depressive symptoms, limited to no evidence was found.

DISCUSSION

This study illuminates predictors of outcome of SSD. Level of functioning at baseline was the best predictor of all investigated outcomes. Furthermore, we found no evidence for many predictors proposed in original research. Possible reasons for this include the lack of prospective research, between-study heterogeneity and incomplete reporting. We therefore recommend open access to datasets and analysis scripts, enabling other researchers to reanalyze and pool the data.

Characteristics and clinical correlates of risk symptoms in individuals at clinical high-risk for psychosis: A systematic review and meta-analysis

Emerging evidence suggests that the duration of risk symptoms (DUR) may have an impact on clinical outcomes in clinical high-risk for psychosis (CHRP) participants. To explore this hypothesis, we performed a meta-analysis on studies that examined DUR in CHR-P individuals in relation to their clinical outcomes. This review was conducted in accordance with the PRISMA guidelines and the protocol was registered with PROSPERO on 16th April 2021 (ID no. CRD42021249443). Literature searches were conducted using PsycINFO and Web of Science in March and November 2021, for studies reporting on DUR in CHR-P populations, in relation to transition to psychosis or symptomatic, functional, or cognitive outcomes. The primary outcome was transition to psychosis, while the secondary outcomes were remission from CHR-P status and functioning at baseline. Thirteen independent studies relating to 2506 CHR-P individuals were included in the meta-analysis. The mean age was 19.88 years (SD = 1.61) and 1194 individuals (47.65 %) were females. The mean length of DUR was 23.61 months (SD = 13.18). There was no meta-analytic effect of DUR on transition to psychosis at 12-month follow-up (OR = 1.000, 95%CI = 0.999-1.000, k = 8, p = .98), while DUR was related to remission (Hedge's g = 0.236, 95%CI = 0.014-0.458, k = 4, p = .037). DUR was not related to baseline GAF scores (beta = -0.004, 95%CI = -0.025-0.017, k = 3, p = .71). The current findings suggest that DUR is not associated with transition to psychosis at 12 months, but may impact remission. However, the database was small and further research in this area is required.

Six nations: a clinical scenario comparison of systems for prisoners with psychosis in Australia, Bolivia and four European nations

This paper compares across six nations the mental health systems available to prisoners with the highest acuity of psychosis and risk combined with the lowest level of insight into the need for treatment. Variations were observed within and between nations. Findings highlight the likely impact of factors such as mental health legislation and the prison mental health workforce on a nation's ability to deliver timely and effective treatment close to home for prisoners who lack capacity to consent to treatment for their severe mental illness. The potential benefits of addressing the resulting inequalities are noted.

Functioning pre- and post-treatment in schizophrenia; further investigations into lead time bias and duration of untreated psychosis

OBJECTIVE

The association between duration of untreated psychosis (DUP) and later outcome is not fully understood. Jonas et al. in their 20-year follow-up found that the association could be explained by lead-time bias. In this study we aimed to analyze the relationship between DUP, time since onset of psychosis and functional outcome using a similar statistical approach as the Jonas study.

METHOD

Using data from 496 participants with first-episode schizophrenia, DUP was assessed using the IRAOS and functioning at the baseline assessment and the subsequent follow-ups (1, 2, 5 and 10 years) was assessed using the GAF-F. For premorbid functioning, the Premorbid Assessment of Functioning Scale was used and rescaled to correspond to the GAF.

RESULTS

The model with the best fit of data included both a slope and a level change. This model of level of function over time had the inflection point at the time of first treatment. This model indicated a slow decline per year until first treatment, at which point there was a sharp decrease in functioning, and after which functioning gradually improved again. Both in this model and in models accounting for potential lead-time bias, however, longer DUP was associated with a decrease in function for each additional week of DUP. This is in contrast with the Jonas et al. study.

CONCLUSION

In this study, we did not find evidence of a lead-time bias, but rather found that onset of treatment occurs at the time when participants level of functioning was most impaired, and consequently was not at random.

Correlation between duration of untreated psychosis and long-term prognosis in chronic schizophrenia

OBJECTIVE

To explore the relationship between the Duration of Untreated Psychosis (DUP) and long-term clinical outcome, cognitive and social function in patients with chronic schizophrenia (SCZ).

METHODS

A total of 248 subjects with chronic SCZ were enrolled in this study, including 156 in the short DUP group and 92 in the long DUP group. The Positive and Negative Symptoms Scale (PANSS), the Brief Negative Symptoms Scale (BNSS), the Global Assessment of Functioning (GAF) scale and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were used to assess all of the subjects.

RESULTS

The negative symptom scores (the PANSS and BNSS) of subjects with long DUP were significantly higher than that in subjects with short DUP. The scores of visual span and speech function in the short DUP group were significantly higher, indicative of decreasing cognitive function with time. In terms of social function, the short DUP group scored higher, with a statistically significant difference. Meanwhile, we found that the length of DUP was positively correlated with the negative symptom score of the PANSS, negatively correlated with visual span scores, and GAF scores.

CONCLUSION

This study demonstrated that the DUP remained a significant association with negative symptom and cognition in long period of chronic SCZ.

Duration of untreated illness in youth depression

Introduction Currently, there are many studies on the effect of the duration of an untreated psychosis on the further course of the disease. In terms of the duration of the untreated illness (DUI) in depression, such studies are significantly less. However, the delay in starting treatment for depression has also been found to have a negative impact on subsequent treatment. Objective To determine the effect of DUI on the severity of symptoms during the first depressive episode in non-psychotic mental disorders in youth and the degree of their reduction during treatment. Material and methods Diagnosed 52 male in-patients (16-25 years) who were first hospitalized for a depression in non-psychotic mental disorders affective disorders (F31, F32, F33, F34), personality disorders (F60) and schizotypal disorder (F21). The duration of the DUI was 35.817.0 months. The patients were divided into two groups: 1 group (59.6%, n=31) with the DUI lasting more than 36 months, 2 group (40.4%, n=21) with the DUI lasting less than 36 months. HDRS, SOPS and SANS were used. The examination was conducted twice at the time of the patients admission to hospital and before discharge. Statistical analysis was carried out with Statistica 12. Results There was no difference in the severity of the clinical symptoms upon admission. However, there were some differences in the residual depressive symptoms on the HDRS scale (p=0.019), negative symptoms on the SOPS (p=0.069), symptoms of disorganization on the SOPS (p=0.091), the total score of the SOPS (p=0.069), negative symptoms Alogia on the SANS (p=0.083), Anhedonia Asociality of the SANS (p=0.058) and the total score on the SANS (p=0.093) at the time of discharge in the patients of 1 group. Conclusion The DUI affects the reduction of depressive, negative and disorganized symptoms of youth depression in non-psychotic mental disorders.

Violence in relation to cognitive deficits and symptom severity in a sample of Egyptian patients with schizophrenia

BACKGROUND

Patient with schizophrenia are significantly more likely to be violent than general population; and the consequences of this violence risk are often very serious for the patients, their caregivers, and the entire community.

AIM

To assess the risk of violence in patients with schizophrenia and its correlation with severity of symptoms and cognitive functions.

METHODS

A cross-sectional comparative study conducted in Okasha institute of psychiatry including 50 patients with schizophrenia compared to 50 healthy control group regarding violence risk as assessed by Historical, Clinical, and Risk Management-20 (HCR-20), case group was assessed using Structured Clinical Interview for DSM-IV (SCID-I), Positive and Negative Syndrome Scale (PANSS), cognitive functions were assessed by Wechsler Adult Intelligence Scale (WAIS), Trail Making Test (TMT) Part A and B, the Wisconsin Card Sorting Test (WCST), and the Wechsler Memory Scale (WMS).

RESULTS

There was a statistically significant difference between case and control groups regarding risk of violence where 58% of the case group were found to have risk of violence compared to only 18% in the control group. There was a significant correlation between this risk of violence and period of untreated psychosis, no of episodes, and history of substance use; also was significantly correlated with PANSS and Wisconsin card sorting test subscales. Regarding logistic regression analysis for factors affecting violence risk; total PANSS score and history of substance use were significant independent factors that increase violence risk.

CONCLUSION

Violence risk in patient with schizophrenia is a cardinal factor that may affect life of the patients, their family, and society; this risk can be affected by different factors including severity of symptoms, no of episodes, history of substance use, and cognitive function of the patients.

Differences of affective and non-affective psychoses in early intervention services from Latin America

BACKGROUND

Psychosis presentation can be affected by genetic and environmental factors. Differentiating between affective and non-affective psychosis (A-FEP and NA-FEP, respectively) may influence treatment decisions and clinical outcomes. The objective of this paper is to examine differences between patients with A-FEP or NA-FEP in a Latin American sample.

METHODS

Patients from two cohorts of patients with a FEP recruited from Brazil and Chile. Subjects included were aged between 15 and 30 years, with an A-FEP or NA-FEP (schizophrenia-spectrum disorders) according to DSM-IV-TR. Sociodemographic data, duration of untreated psychosis and psychotic/mood symptoms were assessed. Generalized estimating equation models were used to assess clinical changes between baseline-follow-up according to diagnosis status.

RESULTS

A total of 265 subjects were included. Most of the subjects were male (70.9 %), mean age was 21.36 years. A-FEP and NA-FEP groups were similar in almost all sociodemographic variables, but A-FEP patients had a higher probability of being female. At baseline, the A-FEP group had more manic symptoms and a steeper reduction in manic symptoms scores during the follow- up. The NA-FEP group had more negative symptoms at baseline and a higher improvement during follow-up. All domains of The Positive and Negative Syndrome Scale improved for both groups. No difference for DUP and depression z-scores at baseline and follow-up.

LIMITATIONS

The sample was recruited at tertiary hospitals, which may bias the sample towards more severe cases.

CONCLUSIONS

This is the largest cohort comparing A-FEP and NA-FEP in Latin America. We found that features in FEP patients could be used to improve diagnosis and support treatment decisions.