Association between Symptom Dimensions and Psychosis Risk Factors with Functioning in First Episode Psychosis: A Six Months Prospective Study. / Ilk Atak Psikozda Belirti Boyutlari ve Psikoz Risk Faktörlerinin Islevsellik ile Iliskisi: 6 Aylik Izlem Çalismasi.

OBJECTIVE: This study aims to assess the associations of the severity of different symptom dimensions and psychosis risk factors with the overall functioning levels in first-episode psychosis (FEP) patients over a 6-month follow-up period. METHOD: Psychosis symptom dimensions (positive, negative, depression, mania, attention and other cognitive), sociodemographic characteristics and environmental risk factors (alcohol-substance use, childhood traumas, current stressful life events) were prospectively assessed in 32 patients who were hospitalized for FEP during the six-month follow-up period. The associations of these variables with the longitudinal Global Assessment of Functioning (GAF) scores of these patients were analyzed using linear regression or repeated measures ANOVA. RESULTS: The severity of positive, negative, depression and mania dimensions reduced (p<0.001) during the follow-up period, while no significant change was found in Stroop interference effect scores (F=0.4, p=0.53). FEP patients with substance or alcohol use had significantly worse functioning during the follow-up period (F=11.2, p=0.001; F=5.3, p=0.02, respectively), and those patients' functioning improved significantly less (F=10.0, p=0.002; F=4.3; p=0.04, respectively). Stroop test performance detected at the first month of the follow-up period significantly predicted the final general functioning scores of the follow-up [Stroop test word reading time (sec): B=-0.58 (-1.13-0.03); color telling speed (sec): B=-0.35 (-0.59-0.1); interference effect: B=-0.28 (-0.57-0.01)]. CONCLUSION: The stable course and prognostic value of attention and other types of cognitive functioning in FEP patients is remarkable. Interventions for alcohol-substance use in FEP patients should be a part of routine practice.

Feuerstein Instrumental Enrichment Program for People With Schizophrenia After the First Episode of Psychosis: Protocol for an Open-Label Intervention Study.

BACKGROUND: Schizophrenia is a disorder associated with neurocognitive deficits that adversely affect daily functioning and impose an economic burden. Cognitive rehabilitation interventions, particularly during the early phases of illness, have been shown to improve cognition, functionality, and quality of life. The Feuerstein Instrumental Enrichment (FIE) program, based on the Mediated Learning Experience and the Structural Cognitive Modifiability theory, has been applied in various disorders, but its applicability in schizophrenia has not yet been clarified. OBJECTIVE: This study aims to investigate the effects of the FIE program on the functionality of patients with first-episode schizophrenia. METHODS: In total, 17 patients will be recruited for an open-label intervention consisting of twice-weekly sessions for 10 weeks. The primary outcome measure will be changes in the Goal Achievement Scale score. Maze task performance from the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) battery will serve as a secondary outcome measure. At the same time, changes in Positive and Negative Syndrome Scale scores and other MATRICS domains will be analyzed as exploratory outcomes. Assessments will be administered before and after the intervention, with a follow-up period of 6 months. RESULTS: This trial was preregistered in The Brazilian Registry of Clinical Trials (RBR-4gzhy4s). By February 2024, 11 participants were enrolled in the training. Recruitment is expected to be completed by May 2024. Data analysis will be conducted between May and September 2024. The results are expected to be published in January 2025. CONCLUSIONS: This study may establish a protocol for the FIE program that uses mediation techniques for individuals in the early stages of schizophrenia. The results will add to the knowledge about strategies to promote cognitive skills and functional impairment in daily life. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57031.

Olanzapine-Induced Weight Gain and Glycolipid Metabolism Aberrations in First-Episode and Antipsychotic-Naïve Schizophrenia Patients: A Longitudinal Study.

OBJECTIVE: Limited research has delved into the comprehensive impact of monotherapy on weight and glycolipid metabolism in schizophrenia (SCZ) patients. Our study aims to longitudinally investigate the multidimensional effects of olanzapine (OLA) monotherapy on weight and glycolipid metabolism in first-episode and antipsychotic-naïve (FEAN) SCZ patients. METHODS: A total of 74 FEAN-SCZ patients were recruited, as well as 58 sex- and age-matched healthy controls. Eligible patients underwent a 4-week OLA treatment regimen, with weight assessments conducted at baseline and week 4. Moreover, lipid profiles and fasting plasma glucose (FPG) were measured at baseline and week 4. Insulin, leptin (LEP), and adiponectin (APN) levels were determined using enzyme-linked immunosorbent assay (ELISA) kits. RESULTS: At baseline, FEAN-SCZ patients showed elevated levels of insulin, low-density lipoprotein (LDL), impaired insulin sensitivity, and reduced levels of APN compared to the healthy controls. Following 4-week OLA treatment, patients showed an increase in body mass index (BMI) of 0.96 kg/m2. Additionally, FPG, quantitative insulin sensitivity check index (QUICKI), HOMA-insulin sensitivity index (HOMA-ISI), and fasting plasma glucose to insulin ratio (G/I) displayed significant decreases, while insulin, HOMA-IR, and LEP levels showed significant increases. Stepwise regression analysis revealed that baseline FPG independently predicted the change in BMI after 4 weeks of OLA treatment. CONCLUSION: FEAN-SCZ patients exhibited pre-existing alterations in glucose homeostasis. After 4 weeks of OLA treatment, SCZ patients experienced significant weight gain, deteriorating insulin resistance, and increased LEP levels. In addition, baseline FPG emerged as a predictor of BMI changes after 4 weeks of OLA treatment.

Rates and predictors of service disengagement in first episode psychosis: Results from a 2-year follow-up study in an Italian real-world care setting.

AIM: Service disengagement is a major problem for "Early Intervention in Psychosis" (EIP). Understanding predictors of engagement is also crucial to increase effectiveness of mental health treatments, especially in young people with First Episode Psychosis (FEP). No Italian investigation on this topic has been reported in the literature to date. The goal of this research was to assess service disengagement rate and predictors in an Italian sample of FEP subjects treated within an EIP program across a 2-year follow-up period. METHODS: All patients were young FEP help-seekers, aged 12-35 years, recruited within the "Parma Early Psychosis" (Pr-EP) program. At baseline, they completed the Positive And Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning (GAF) scale. Univariate and multivariate Cox regression analyses were carried out. RESULTS: 489 FEP subjects were enrolled in this study. Across the follow-up, a 26 % prevalence rate of service disengagement was found. Particularly strong predictors of disengagement were living with parents, poor treatment adherence at entry and a low baseline PANSS "Disorganization" factor score. CONCLUSION: More than a quarter of our FEP individuals disengaged the Pr-EP program during the first 2 years of intervention. A possible solution to reduce disengagement and to facilitate re-engagement of these young patients might be to offer the option of low-intensity monitoring and support, also via remote technology and tele-mental health care.

Exploring online and offline social experiences and interaction patterns of young adults with psychosis with the social media and internet social engagement questionnaire: Analyses and future directions.

Objective: Social interactions and experiences are increasingly occurring online, including for young adults with psychosis. Healthy social interactions and experiences are widely recognized as a critical component of social recovery, yet research thus far has focused predominantly on offline interactions with limited understanding of these interactions online. We developed the Social Media and Internet sociaL Engagement (SMILE) questionnaire to assess the type, frequency, and nature of online social interactions and experiences among young adults with early psychosis to better assess online social activity and ultimately support personalized interventions. Methods: Participants (N = 49) completed the SMILE questionnaire which asked about online platforms used, frequency of use, and if positive and negative experiences were more likely to happen online or offline. Participants completed additional self-report measures of victimization, positive psychotic symptoms, social functioning, and demographics. Exploratory factor analysis and correlations between identified factors and clinical measures of interest were completed. Results: Exploratory factor analysis revealed three factors: positive engagement, victimization, and internalizing experiences. Most participants (6%-37%) experienced positive engagement offline. Victimization occurred equally online and offline (8%-27% and 4%-24%, respectively). Most participants (37%-51%) endorsed internalizing experiences as occurring equally offline and online, but approximately a third of participants reported internalizing experiences more frequently offline (20%-35%). Victimization was moderately (r = 0.34) correlated with overall online social experiences, suggesting more online time may increase the likelihood of victimization. Age was inversely related to the frequency of overall online social experiences. Conclusion: Young adults with early psychosis experience positive and negative social experiences online and offline. New scales and measures to comprehensively assess the nature and function of online social interactions and experiences are needed.

Association between exposure to antidepressants and stimulants and age at onset of mania or psychosis: A retrospective population-based cohort study.

This study investigated the impact of prior antidepressant and stimulant exposure on the age at onset (AAO) of first episode mania (FEM) or psychosis (FEP). Patients with FEP and FEM born after 1985 in Olmsted County, Minnesota, were identified using the Rochester Epidemiology Project. Duration and peak dose of antidepressant and stimulant exposure were quantified by review of the electronic health record. Peak doses were converted to defined daily dose (DDD), and cumulative exposure was calculated as DDD multiplied by treatment duration. Linear models were used to assess relationships between AAO with any exposures, and cumulative antidepressant and stimulant exposures. A total of 190 FEM/FEP patients (mean AAO=20.8 ± 3.7 years) were included. There was no significant difference in AAO with vs. without exposure to antidepressants or stimulants. Cumulative antidepressant exposure correlated with a later AAO in overall sample (r = 0.28, p < 0.001), and in FEP (r = 0.33, p < 0.001). No significant correlation emerged between cumulative stimulant exposure and AAO. Multivariable modeling confirmed that cumulative antidepressant exposure (Estimate=2.42, 95 %CI=1.66-3.18, p < 0.001), but not cumulative stimulant exposure (Estimate=-0.04, 95 %CI=-1.10-1.02, p = 0.94), was associated with later AAO. Antidepressant and stimulant exposures were not associated with earlier AAO. However, cumulative antidepressant exposure was associated with later AAO. Limitations include retrospective design and relatively small sample size. Our findings may inform adolescent treatment recommendations when assessing risk for psychotropic-related adverse events. Further risk modeling investigations of antidepressants and stimulants with larger sample sizes are needed to explore the role of antidepressant and stimulant exposure in the trajectory leading to FEM/FEP.

Associations between rural/urban status, duration of untreated psychosis and mode of onset of psychosis: a mental health electronic clinical records analysis in the East of England, UK.

PURPOSE: The influence of rurality on the duration of untreated psychosis (DUP) in first-episode psychosis (FEP) is poorly understood. We investigated factors associated with FEP in rural/urban settings and whether there are rural/urban differences in DUP and the mode (speed) of onset of psychosis. METHODS: We used the Cambridgeshire and Peterborough NHS Foundation Trust Research Database (CPFTRD) to identify all persons presenting to an early intervention for psychosis service with FEP between 2013 and 2015. We performed descriptive statistics and multivariable linear and multinomial regression to assess the relationships between the study outcomes and the independent variables. RESULTS: One hundred and fifty-five FEP patients were identified, with a mean age of 23.4 (SD, 5.3) years. The median DUP was 129.0 (IQR: 27.5-524.0) days. In rural areas, FEP patients were more likely to be employed and live with family than those in urban areas. A longer DUP was observed among patients with an insidious onset of psychosis compared with an acute onset (619.5 (IQR: 333.5-945.0)) vs. (17.0 (IQR: 8.0-30.5)) days respectively, p < 0.0001. We found evidence that the mode of onset of psychosis differed by employment status and living circumstances. There was insufficient evidence of rural/urban differences in DUP and mode of onset of psychosis. CONCLUSIONS: Our results suggest that the mode of onset of psychosis is an important indicator of treatment delay and could provide vital information for service planning and delivery. Sociodemographic variations in FEP exist in rural populations, and our findings are similar to those observed in urban settings.

Discussing the concept of substance-induced psychosis (SIP).

Substance-induced psychosis (SIP) is characterized by both substance use and a psychotic state, and it is assumed that the first causes the latter. In ICD-10 the diagnosis is categorized as and grouped together with substance use disorders, and to a large extent also treated as such in the health care system. Though criticism of the diagnostic construct of SIP dates back several decades, numerous large and high-quality studies have been published during the past 5-10 years that substantiate and amplify this critique. The way we understand SIP and even how we name it is of major importance for treatment and it has judicial consequences. It has been demonstrated that substance use alone is not sufficient to cause psychosis, and that other risk factors besides substance use are at play. These are risk factors that are also known to be associated with schizophrenia spectrum disorders. Furthermore, register-based studies from several different countries find that a large proportion, around one in four, of those who are initially diagnosed with an SIP over time are subsequently diagnosed with a schizophrenia spectrum disorder. This scoping review discusses the construct validity of SIP considering recent evidence. We challenge the immanent causal assumption in SIP, and advocate that the condition shares many features with the schizophrenia spectrum disorders. In conclusion, we argue that SIP just as well could be considered a first-episode psychotic disorder in patients with substance use.

Demographic and clinical characteristics of individuals with psychosis symptoms who died by suicide: Findings of a psychological autopsy study.

Suicide is a critical public health concern among individuals with schizophrenia spectrum disorders (SSDs). Still, significant gaps remain in understanding relationships between suicide outcomes and both demographic and clinical characteristics. Data were examined from 57 adults of a psychological autopsy study who had psychosis symptoms and died between 1989 and 2017 in the Midwestern United States. This study compared demographic and clinical characteristics of those who died by suicide (n = 26) to those who died by natural (n = 26) or accidental (n = 5) causes. Those who died by suicide were more often younger, white/Caucasian, more educated, and more often employed than those who died by natural or accidental causes (p < .05). Furthermore, symptoms of depression, recurrent suicidal ideation, history of suicide attempt, and being in a first episode of psychosis were experienced significantly more by those who died by suicide in comparison to natural or accidental causes (p < .05). Findings highlight the need to consider depression in suicide risk for psychosis populations, intervene in early stages of psychosis illness, and implement suicide prevention strategies tailored to individuals with psychosis and SSDs. Implications point towards the need for tailored interventions to mitigate risk for suicide death in this vulnerable population.

Dynamics of symptom network in patients with first-episode schizophrenia: Insight from the CNFEST project.

BACKGROUND: Schizophrenia is a heterogeneous psychotic disorder. Recent theories have emphasized the importance of interactions among psychiatric symptoms in understanding the pathological mechanisms of schizophrenia. In the current study, we examined the symptom network in patients with first-episode schizophrenia (FES) at four time points during a six-month follow-up period. METHODS: In total, 565 patients with FES were recruited from the Chinese First-Episode Schizophrenia Trial (CNFEST) project. Clinical symptoms were measured using the Positive and Negative Syndrome Scale (PANSS) at baseline and follow-up (514 patients at one month, 429 at three months, and 392 at six months). We used a network analysis approach to estimate symptom networks with individual symptoms as nodes and partial correlation coefficients between symptoms as edges. A cross-lagged panel network (CLPN) model was used to identify predictive pathways for clinical symptoms. RESULTS: We found stable and strongly connected edges in patients across the time points, such as links between delusions and suspiciousness/persecution (P1:P6), and emotional withdrawal and passive/apathetic social withdrawal (N2:N4). Emotional withdrawal (N2), poor rapport (N3), and passive/apathetic social withdrawal (N4) had high centrality estimates across all four time points. CLPN analysis showed that negative symptoms, including emotional withdrawal (N2), poor rapport (N3), and passive/apathetic social withdrawal (N4), and stereotyped thinking (N7) may have predictive effects for negative and general symptoms at follow-ups. CONCLUSIONS: The symptom network of schizophrenia may be dynamic as treatment progresses. Negative symptoms remain the central and stable symptoms of schizophrenia. Negative symptoms may be potential therapeutic targets that predict other symptoms.

Evaluation of the Correlation Between Peripheral Inflammatory Markers and Suicide Risk in Drug-Naive First-Episode Schizophrenia.

Introduction: Patients with schizophrenia have a higher lifetime prevalence of suicidal behavior (SB) compared to the general population. Therefore, understanding the possible neurobiology of suicide and predicting the risk of suicide in schizophrenia is a solemnly critical issue. Methods: 31 drug-naïve first episode schizophrenia (FES) patients with current SB (FES-S), 69 drug-naive patients with first episode schizophrenia without SB (FES-NS), and 69 drug-naïve non-psychotic patients with current SB (NPS) who were diagnosed according to The Diagnostic and Statistical Manual of Mental Disorders - 5 (DSM-5) participated the study. The control group (HC) consisted of 127 individuals matched with the patients. Symptoms at the time of evaluation were assessed using The Positive and Negative Syndrome Scale (PANSS) and Columbia Suicide Severity Rating Scale (CSSRS). Blood samples were collected from all participants to determine White blood cell (WBC), neutrophil, monocyte, albumin, C-reactive protein (CRP), Lymphocyte, and Platelet levels and to measure this protein ratio. Results: The blood levels of WBC, neutrophil, monocyte, albumin, CRP, and Neutrophil/Albumin Ratio (NAR) were higher in all patient groups compared to HC. CRP/Albumin Ratio (CAR) value was observed to be highest in the NPS group. Monocyte/Lymphocyte Ratio (MLR) value was significantly higher in patients with FES compared to HC. There were no significant differences between the FES-S group and the FES-NS and NPS groups. Conclusion: It can be suggested that although inflammation is not a predictor for suicide attempts in schizophrenia, it is associated with the degree of suicide risk in schizophrenia. In addition, the strong relationship between suicide and psychiatric disorders can be the main reason for high peripheral inflammation levels in suicidal patients.

Early Intervention in the Treatment of Psychosis.

This article aims to: (1) describe the evolution of first episode of psychosis (FEP) approaches; (2) define a model of multidisciplinary care; (3) identify challenges and limitations; (4) discuss the unique challenges for those first experiencing psychosis; (5) identify strategies to expand early psychosis interventions. The authors take the medical standpoint and use the differential diagnosis and initial medical work-up as a context for assessment. The remainder of the article will be focused on treatment of FEP in those with schizophrenia-spectrum disorders.

Cognitive profiles across the psychosis continuum.

Cognitive impairments are core features in individuals across the psychosis continuum and predict functional outcomes. Nevertheless, substantial variability in cognitive functioning within diagnostic groups, along with considerable overlap with healthy controls, hampers the translation of research findings into personalized treatment planning. Aligned with precision medicine, we employed a data driven machine learning method, self-organizing maps, to conduct transdiagnostic clustering based on cognitive functions in a sample comprising 228 healthy controls, 200 individuals at ultra-high risk for psychosis, and 98 antipsychotic-naïve patients with first-episode psychosis. The self-organizing maps revealed six clinically distinct cognitive profiles that significantly predicted baseline functional level and changes in functional level after one year. Cognitive flexibility in particular, as well as specific executive functions emerged as cardinal in differentiating the profiles. The application of self-organizing maps appears to be a promising approach to inform clinical decision-making based on individualized cognitive profiles, including patient allocation to different interventions. Moreover, this method has the potential to enable cross-diagnostic stratification in research trials, utilizing data-driven subgrouping informed by categories from underlying dimensions of cognition rather than from clinical diagnoses. Finally, the method enables cross-diagnostic profiling across other data modalities, such as brain networks or metabolic subtypes.

Social cognition interventions for patients with first-episode psychosis: A scoping review.

This scoping review seeks to identify existing evidence of social cognition interventions for patients with first-episode psychosis. This review followed the five steps of Arksey and O'Malley's scoping review framework. Studies published between October 2002 and June 2023 were examined in the following six databases: PsycArticles, PsycINFO, CINAHL, EMBASE, Medline, and Scopus. We also searched grey literature and references of included studies. Studies reporting on social cognition interventions for adults with first-episode psychosis were included. Review findings were synthesised employing the PAGER framework. The PRISMA Extension for Scoping Reviews guideline was followed to prepare and report this manuscript. Twelve articles were included in this review. Most of the social cognition interventions were provided in out-patient clinics. Four studies provided board-based social cognition interventions, while the remaining eight studies introduced interventions to targeted domains of social cognition. All studies reported an improvement in patients' social functioning and social skills after receiving the intervention. Barriers and facilitators for patients with first-episode psychosis in receiving social cognition intervention were also summarised. Future studies could be conducted to explore the long-term effects of social cognition interventions, particularly for in-patient setting and the domain of social perception.

Psychological interventions for early-phase schizophrenia: protocol for a systematic review and network meta-analysis.

Introduction: Treating the early phase of schizophrenia is crucial for preventing further episodes and improving quality of life, functioning, and social inclusion. Pharmacotherapies are first-line treatments, but have limitations. There is consensus on the need for non-pharmacological interventions for individuals in the early phase of schizophrenia. Several psychological interventions have shown promising effects; however, their comparative effectiveness remains largely unknown. To address this issue, a network meta-analysis will be performed. We aim to develop a hierarchy of existing psychological treatments concerning their efficacy and tolerability, which will inform treatment guidelines. Protocol: Randomized controlled trials (RCTs) investigating psychological interventions for first-episode psychosis, first-episode schizophrenia, or early phase schizophrenia will be included. The primary outcome will be overall schizophrenia symptoms (measured up to 6 and 12 months, and at the longest follow-up) and relapse as a co-primary outcome. Secondary outcomes are premature discontinuation; change in positive, negative, and depressive symptoms of schizophrenia; response; quality of life; overall functioning; satisfaction with care; adherence; adverse events; and mortality. The study selection and data extraction are performed by two independent reviewers. We will assess the risk of bias of each study using the Cochrane Risk of Bias tool 2 and evaluate the confidence in the results using Confidence in Network Meta-Analysis (CINeMA). Subgroup and sensitivity analyses will be conducted to explore heterogeneity and assess the robustness of our findings. Discussion: This systematic review and network meta-analysis aims to compare multiple existing psychological interventions, establishing which are best for symptom reduction, relapse prevention, and other important outcomes in early phase schizophrenia. Our results may provide practical guidance concerning the most effective psychological intervention to reduce symptom severity and the societal burden associated with the disorder.

Analyzing language ability in first-episode psychosis and their unaffected siblings: A diffusion tensor imaging tract-based spatial statistics analysis study.

Schizophrenia (SZ) is a highly heritable mental disorder, and language dysfunctions play a crucial role in diagnosing it. Although language-related symptoms such as disorganized speech were predicted by the polygenic risk for SZ which emphasized the common genetic liability for the disease, few studies investigated possible white matter integrity abnormalities in the language-related tracts in those at familial high-risk for SZ. Also, their results are not consistent. In this current study, we examined possible aberrations in language-related white matter tracts in patients with first-episode psychosis (FEP, N = 20), their siblings (SIB, N = 20), and healthy controls (CON, N = 20) by applying whole-brain Tract-Based Spatial Statistics and region-of-interest analyses. We also assessed language ability by Thought and Language Index (TLI) using Thematic Apperception Test (TAT) pictures and verbal fluency to see whether the scores of these language tests would predict the differences in these tracts. We found significant alterations in language-related tracts such as inferior longitudinal fasciculus (ILF) and uncinate fasciculus (UF) among three groups and between SIB and CON. We also proved partly their relationship with the language test as indicated by the significant correlation detected between TLI Impoverished thought/language sub-scale and ILF. We could not find any difference between FEP and CON. These results showed that the abnormalities, especially in the ILF and UF, could be important pathophysiological vulnerability indexes of schizophrenia. Further studies are required to understand better the role of language as a possible endophenotype in schizophrenia with larger samples.

Case identification and healthcare utilization in the years prior to a first mania diagnosis.

BACKGROUND: There is limited evaluation of approaches to identify patients with new onset bipolar affective disorder (BPAD) when using administrative datasets. METHODS: Using the Massachusetts All-Payer Claims Database (APCD), we identified individuals with a 2016 diagnosis of bipolar disorder with mania and examined patterns of psychiatric and medical care over the preceding 48 months. RESULTS: Among 4806 individuals aged 15-35 years with a 2016 BPAD with mania diagnosis, 3066 had 48 months of historical APCD data, and of those, 75 % involved information from ≥2 payors. After excluding individuals with historical BPAD or mania diagnoses, there were 583 individuals whose 2016 BPAD with mania diagnosis appeared to be new (i.e., 34 new diagnoses per 100,000 individuals aged 15-35 years). Most individuals received medical care, e.g., 98 % had outpatient visits, 76 % had Emergency Department (ED) visits, and 50 % had mental health-related ED visits during the 48 months prior to their first mania diagnosis. One-third (37.2 %) had a depressive episode before their initial BPAD with mania diagnosis. LIMITATIONS: Study was conducted in one state among insured individuals. We used administrative data, which permits evaluation of large populations but lacks rigorous, well-validated claims-based definitions for BPAD. There could be diagnostic uncertainty during illness course, and clinicians may differ in their diagnostic thresholds. CONCLUSIONS: Careful examination of multiple years of patient history spanning all payors is essential for identifying new onset BPAD diagnoses presenting with mania, which in turn is critical to estimating population rates of new disease and understanding the early course of disease.

Development and initial evaluation of a clinical prediction model for risk of treatment resistance in first-episode psychosis: Schizophrenia Prediction of Resistance to Treatment (SPIRIT).

BACKGROUND: A clinical tool to estimate the risk of treatment-resistant schizophrenia (TRS) in people with first-episode psychosis (FEP) would inform early detection of TRS and overcome the delay of up to 5 years in starting TRS medication. AIMS: To develop and evaluate a model that could predict the risk of TRS in routine clinical practice. METHOD: We used data from two UK-based FEP cohorts (GAP and AESOP-10) to develop and internally validate a prognostic model that supports identification of patients at high-risk of TRS soon after FEP diagnosis. Using sociodemographic and clinical predictors, a model for predicting risk of TRS was developed based on penalised logistic regression, with missing data handled using multiple imputation. Internal validation was undertaken via bootstrapping, obtaining optimism-adjusted estimates of the model's performance. Interviews and focus groups with clinicians were conducted to establish clinically relevant risk thresholds and understand the acceptability and perceived utility of the model. RESULTS: We included seven factors in the prediction model that are predominantly assessed in clinical practice in patients with FEP. The model predicted treatment resistance among the 1081 patients with reasonable accuracy; the model's C-statistic was 0.727 (95% CI 0.723-0.732) prior to shrinkage and 0.687 after adjustment for optimism. Calibration was good (expected/observed ratio: 0.999; calibration-in-the-large: 0.000584) after adjustment for optimism. CONCLUSIONS: We developed and internally validated a prediction model with reasonably good predictive metrics. Clinicians, patients and carers were involved in the development process. External validation of the tool is needed followed by co-design methodology to support implementation in early intervention services.

Cortical Network Disruption Is Minimal in Early Stages of Psychosis.

Background and Hypothesis: Schizophrenia is associated with white matter disruption and topological reorganization of cortical connectivity but the trajectory of these changes, from the first psychotic episode to established illness, is poorly understood. Current studies in first-episode psychosis (FEP) patients using diffusion magnetic resonance imaging (dMRI) suggest such disruption may be detectable at the onset of psychosis, but specific results vary widely, and few reports have contextualized their findings with direct comparison to young adults with established illness. Study Design: Diffusion and T1-weighted 7T MR scans were obtained from N = 112 individuals (58 with untreated FEP, 17 with established schizophrenia, 37 healthy controls) recruited from London, Ontario. Voxel- and network-based analyses were used to detect changes in diffusion microstructural parameters. Graph theory metrics were used to probe changes in the cortical network hierarchy and to assess the vulnerability of hub regions to disruption. The analysis was replicated with N = 111 (57 patients, 54 controls) from the Human Connectome Project-Early Psychosis (HCP-EP) dataset. Study Results: Widespread microstructural changes were found in people with established illness, but changes in FEP patients were minimal. Unlike the established illness group, no appreciable topological changes in the cortical network were observed in FEP patients. These results were replicated in the early psychosis patients of the HCP-EP datasets, which were indistinguishable from controls in most metrics. Conclusions: The white matter structural changes observed in established schizophrenia are not a prominent feature in the early stages of this illness.