Diagnosis Of Psychosis Research Articles

Incremental health care resource utilization and costs associated among patients with Parkinson's disease psychosis and incident dementia: An analysis of medicare beneficiaries.

Real-world evidence examining the incremental health care resource use (HCRU) and cost burden of incident dementia among patients with Parkinson's disease psychosis (PDP) are needed within the United States (US). To compare HCRU and cost burden between PDP patients with incident dementia (PDP+D) versus without incident dementia (PDP). A retrospective analysis of inpatient (Part A), outpatient (Part B), and prescription drug (Part D) claims from the 100% Medicare sample was conducted to compare PDP+D patients versus PDP patients between 01/01/14-12/31/18. Patients with a diagnosis of dementia, psychosis, secondary parkinsonism, or other psychotic disorders, during 12-month pre-index were excluded. Patients in both groups were matched using 1:1 propensity score matching (PSM) methodology using 31 variables (age, sex, race, region and 27 Elixhauser comorbidity characteristics). Differences in 12-month post-index HCRU rates and mean per patient per year (PPPY) costs for all-cause inpatient (IP) hospitalizations, and by type of IP stay (i.e., short-term [ST-stay], skilled nursing facility [SNF-stay] and long-term [LT-stay]) were analyzed via logistic and gamma log-link regression models. Of the 12,484 patients who met our study criteria, 1855 PSM-matched cohorts were identified. Mean age, gender, and comorbidities were similar in PSM groups. Approximately, 50.3% with PDP+D reported ≥1 all-cause IP hospitalizations versus 36.0% with PDP (p<0.05) during 12-month follow-up. Specifically, all-cause ST-stay, SNF-stay, and LT-stay among PDP+D versus PDP patients were: 45.2% versus 35.7%, 28.3% versus 15.7%, and 8.5% versus 6.0% (p<0.05), respectively. Psychiatric-related ST-stay, SNF-stay, and LT-stay among PDP+D versus PDP patients were: 12.3% versus 9.0%, 7.5% versus 3.4%, and 2.4% versus 1.2% (p<0.05), respectively. Mean PPPY all-cause IP hospitalization costs for PDP+D patients versus PDP patients was $17,891 (±29,882) versus $11,599 (±$25,247) (p<0.05). Patients with PDP+D experience significantly higher all-cause and psychiatric-related IP hospitalizations, including ST-stays, LT stays, and SNF stays. They also had 54% greater mean PPPY IP hospitalization costs versus PDP patients.

Molecular Mechanism Biomarkers Predict Diagnosis in Schizophrenia and Schizoaffective Psychosis, with Implications for Treatment.

Diagnostic uncertainty and relapse rates in schizophrenia and schizoaffective disorder are relatively high, indicating the potential involvement of other pathological mechanisms that could serve as diagnostic indicators to be targeted for adjunctive treatment. This study aimed to seek objective evidence of methylenetetrahydrofolate reductase MTHFR C677T genotype-related bio markers in blood and urine. Vitamin and mineral cofactors related to methylation and indolamine-catecholamine metabolism were investigated. Biomarker status for 67 symptomatically well-defined cases and 67 asymptomatic control participants was determined using receiver operating characteristics, Spearman's correlation, and logistic regression. The 5.2%-prevalent MTHFR 677 TT genotype demonstrated a 100% sensitive and specific case-predictive biomarkers of increased riboflavin (vitamin B2) excretion. This was accompanied by low plasma zinc and indicators of a shift from low methylation to high methylation state. The 48.5% prevalent MTHFR 677 CC genotype model demonstrated a low-methylation phenotype with 93% sensitivity and 92% specificity and a negative predictive value of 100%. This model related to lower vitamin cofactors, high histamine, and HPLC urine indicators of lower vitamin B2 and restricted indole-catecholamine metabolism. The 46.3%-prevalent CT genotype achieved high predictive strength for a mixed methylation phenotype. Determination of MTHFR C677T genotype dependent functional biomarker phenotypes can advance diagnostic certainty and inform therapeutic intervention.

Trauma therapies for psychosis: A state-of-the-art review.

Traumatic events, particularly childhood interpersonal victimisation, have been found to play a causal role in the occurrence of psychosis and shape the phenomenology of psychotic experiences. Higher rates of post-traumatic stress disorder (PTSD) and other trauma-related mental health problems are also found in people with psychosis diagnoses compared to the general population. It is, therefore, imperative that therapists are willing and able to address trauma and its consequences when supporting recovery from distressing psychosis. This paper will support this need by providing a state-of-the-art overview of the safety, acceptability and effects of trauma therapies for psychosis. We will first introduce how seminal cognitive-behavioural models of psychosis shed light on the mechanisms by which trauma may give rise to psychotic experiences, including a putative role for trauma-related emotions, beliefs and episodic memories. The initial application of prolonged exposure and eye movement and desensitation and reprocessing therapy (EMDR) for treating PTSD in psychosis will be described, followed by consideration of integrative approaches. These integrative approaches aim to address the impact of trauma on both post-traumatic stress symptoms and trauma-related psychosis. Integrative approaches include EMDR for psychosis (EMDRp) and trauma-focused Cognitive-Behavioural Therapy for psychosis (tf-CBTp). Finally, emerging dialogic approaches for targeting trauma-related voice-hearing will be considered, demonstrating the potential value of adopting co-produced (Talking with Voices) and digitally augmented (AVATAR) therapies. We will conclude by reflecting on current issues in the area, and implications for research and clinical practice.

Inequalities in the Incidence of Psychotic Disorders Among Racial and Ethnic Groups.

The authors examined recent trends in incidence of psychotic disorders, demographic characteristics, and comorbid psychiatric and medical conditions among six racial/ethnic groups. A retrospective cohort study design was used to examine the incidence of psychotic disorders across race/ethnicity groups and comorbid psychiatric and medical conditions among members of Kaiser Permanente Northern California from 2009 to 2019 (N=5,994,758). Poisson regression was used to assess changes in annual incidence, and Cox proportional hazards and logistic regression models adjusted for age and sex were used to test correlates and consequences. Overall, the incidence of nonaffective psychotic disorders decreased slightly over the study period. Compared with White members, the risk of nonaffective psychosis diagnosis was higher among Black (hazard ratio=2.13, 95% CI=2.02-2.24) and American Indian or Alaskan Native (AIAN) (hazard ratio=1.85, 95% CI=1.53-2.23) members and lower among Asian (hazard ratio=0.72, 95% CI=0.68-0.76) and Hispanic (hazard ratio=0.91, 95% CI=0.87-0.96) members, as well as those whose race/ethnicity was categorized as "other" (hazard ratio=0.92, 95% CI=0.86-0.99). Compared with White members, the risk of affective psychosis diagnosis adjusted for age and sex was higher among Black (hazard ratio=1.76, 95% CI=1.62-1.91), Hispanic (hazard ratio=1.09, 95% CI=1.02-1.16), and AIAN (hazard ratio=1.38, 95% CI=1.00-1.90) members and lower among Asian (hazard ratio=0.77, 95% CI=0.71-0.83), Native Hawaiian or other Pacific Islander (hazard ratio=0.69, 95% CI=0.48-0.99), and "other" (hazard ratio=0.86, 95% CI=0.77-0.96) members. Psychotic disorders were associated with significantly higher odds of suicide (odds ratio=2.65, 95% CI=2.15-3.28), premature death (odds ratio=1.30, 95% CI=1.22-1.39), and stroke (odds ratio=1.64, 95% CI=1.55-1.72) and lower odds of health care utilization (odds ratio=0.44, 95% CI=0.42-0.47). This study demonstrates racial and ethnic variation in incident psychotic disorder diagnoses in the United States, compared with non-Hispanic Whites. Individuals diagnosed with psychosis face a greater burden of other negative health outcomes and lower odds of health care utilization, reflecting personal and economic impacts. Identifying risk factors for elevated rates and protective influences in subgroups can inform strategies for prevention and interventions to ameliorate severe consequences of psychotic syndromes.

Understanding psychosis.

Psychotic behavior is often unpredictable; thus, there can be an increased risk of violence toward others and oneself. This article details the etiology and diagnosis of psychosis and nursing interventions to provide appropriate care.

Clinical characterization and differentiation of B-SNIP psychosis Biotypes: Algorithmic Diagnostics for Efficient Prescription of Treatments (ADEPT)-1.

Clinically defined psychosis diagnoses are neurobiologically heterogeneous. The B-SNIP consortium identified and validated more neurobiologically homogeneous psychosis Biotypes using an extensive battery of neurocognitive and psychophysiological laboratory measures. However, typically the first step in any diagnostic evaluation is the clinical interview. In this project, we evaluated if psychosis Biotypes have clinical characteristics that can support their differentiation in addition to obtaining laboratory testing. Clinical interview data from 1907 individuals with a psychosis Biotype were used to create a diagnostic algorithm. The features were 58 ratings from standard clinical scales. Extremely randomized tree algorithms were used to evaluate sensitivity, specificity, and overall classification success. Biotype classification accuracy peaked at 91% with the use of 57 items on average. A reduced feature set of 28 items, though, also showed 81% classification accuracy. Using this reduced item set, we found that only 10-11 items achieved a one-vs-all (Biotype-1 or not, Biotype-2 or not, Biotype-3 or not) area under the sensitivity-specificity curve of .78 to .81. The top clinical characteristics for differentiating psychosis Biotypes, in order of importance, were (i) difficulty in abstract thinking, (ii) multiple indicators of social functioning, (iii) conceptual disorganization, (iv) severity of hallucinations, (v) stereotyped thinking, (vi) suspiciousness, (vii) unusual thought content, (viii) lack of spontaneous speech, and (ix) severity of delusions. These features were remarkably different from those that differentiated DSM psychosis diagnoses. This low-burden adaptive algorithm achieved reasonable classification accuracy and will support Biotype-specific etiological and treatment investigations even in under-resourced clinical and research environments.

Evaluation of reliability and validity of the Persian version of Peters et al. delusions inventory (PDI-40) in iranian non-clinical and clinical samples

BackgroundSome individuals may manifest psychotic symptoms that do not fulfill the requisite clinical criteria for a formal diagnosis of psychosis. The assessment of susceptibility to delusions, encompassing both clinical and non-clinical cohorts, frequently makes use of the Peters et al. Delusions Inventory (PDI-40). This study aimed to evaluate the reliability and validity of the Persian version of Peters et al. Delusions Inventory (PDI-40) in Iranian non-clinical and clinical samples.MethodsThe present study employed a cross-sectional, correlational design in 2020. A total of 1402 Iranian participants were recruited for the study, which consisted of three distinct stages. The first stage involved an Exploratory Factor Analysis (EFA) conducted on a non-clinical sample of 512 participants. The second stage comprising different non-clinical sample 764 participants to perform a Confirmatory Factor Analysis (CFA). In the third stage, a clinical sample of 126 psychotic patients was compared to a non-clinical sample. All participants completed the PDI-40, the Community Assessment of Psychotic Experiences (CAPE-42), and the Depression, Anxiety, and Stress Scale (DASS-21). The internal structure of PDI-40 was examined through the analysis of its factor structure using LISREL 8.8.ResultsThe EFA analysis unveiled nine components within Persian version of PDI-40. The CFA analysis demonstrated an excellent fit of the nine-factor structure of Persian PDI-40 to the data. The total score exhibited high internal reliability, as indicated by Cronbach’s alpha coefficient of 0.92. Moreover, Persian PDI-40 exhibited satisfactory evidence of convergent validity, as significant correlations were observed between dimensions of PDI-40 and subscales of CAPE-42 and DASS-21. Lastly, findings indicated that psychotic participants scored higher than non-clinical participants in all components of the PDI-40(p < 0.05).ConclusionPersian version of the PDI-40 demonstrates strong reliability and validity for assessing delusion proneness in both non-clinical and clinical samples in Iran. The observed distinctions between psychotic and non-clinical participants underscore its potential as a valuable tool for discerning delusion proneness in diverse contexts.

Perspective of patients with first-episode psychosis, their relatives, and mental health professionals on the design and usability of an app in clinical practice.

Therapeutic non-compliance remains the main difficulty for people with psychotic disorders, standing around 50% in people with schizophrenia. Lack of treatment adherence, either partial or total, to medication has economic and clinical consequences. E-health technologies may be a promising therapeutic tool to improve adherence, with the subsequent reduction in clinical and economic burden. Our aims were to know the preferences on how technologies in mental health treatment should be for use in clinical practice, and to learn about the opinion and preferences on the use of technologies in mental health treatment from the perspectives of patients with FEP, their relatives, and mental health professionals. Forty-one patients with a diagnosis of first-episode psychosis (FEP), 18 relatives and 49 mental health professionals were included in the study. They completed an online survey related to the use, availability and user-skill of online platforms and apps created by a group of experts in psychosis and in the use of technologies. Data were summarized in frequencies, percentages, and means, and Chi-square tests were used to calculate differences between-groups. An app directed to people with psychosis would be well received by users if it contains psychoeducational material, offers reminders for scheduled visits and treatment and allows online consultations. Co-creating an app with users, their families and mental health professionals allows incorporating their preferences to increase its use, improve outpatient care and creating an app that is viable in clinical practice.

Increasing access to CBT for psychosis patients: study protocol for a randomised controlled trial evaluating brief, targeted CBT for distressing voices delivered by assistant psychologists (GiVE3)

BackgroundThe National Institute for Health and Care Excellence (NICE) recommends that cognitive behaviour therapy (CBT) is offered to all patients with a psychosis diagnosis. However, only a minority of psychosis patients in England and Wales are offered CBT. This is attributable, in part, to the resource-intensive nature of CBT. One response to this problem has been the development of CBT in brief formats that are targeted at a single symptom and are deliverable by briefly trained therapists. We have developed Guided self-help CBT (the GiVE intervention) as a brief form of CBT for distressing voices and reported evidence for the feasibility of a randomised controlled trial (RCT) when the intervention was delivered by briefly trained therapists (assistant psychologists). This study will investigate the clinical and cost-effectiveness of the GiVE intervention when delivered by assistant psychologists following a brief training.MethodsThis study is a pragmatic, two-arm, parallel group, superiority RCT comparing the GiVE intervention (delivered by assistant psychologists) and treatment as usual to treatment as usual alone, recruiting across three sites, using 1:1 allocation and blind post-treatment and follow-up assessments. A nested qualitative study will develop a model for implementation.DiscussionIf the GiVE intervention is found to be effective when delivered by assistant psychologists, this intervention could significantly contribute to increasing access to evidence-based psychological interventions for psychosis patients. Furthermore, implementation across secondary care services within the UK’s National Health Service may pave the way for other symptom-specific and less resource-intensive CBT-informed interventions for psychosis patients to be developed and evaluated.Trial registrationCurrent Controlled Trials ISRCTN registration number: 12748453. Registered on 28 September 2022.

How is city living associated with psychosis? Findings from a novel data linkage of 612,988 people from an urban and ethnically diverse area

ObjectivesUK cities show higher incidence of psychotic disorders, but the reasons remain unclear. This case-control study uses data from one of the first and largest person-level data linkages between mental health records and the UK census to explore associations previously only assessed using ecological or smaller studies in England.&#x0D; MethodsThe SocioEconomic Predictors of Mental Disorders (SEP-MD) project dataset comprises of data extracted from electronic health records (EHR) from the South London and Maudsley NHS Foundation trust (SLaM). These EHRs were linked to the 2011 UK census as a collaboration between SLaM, the ONS and King’s College London.&#x0D; Cases with clinical diagnoses of non-affective (schizophrenia-spectrum) and affective psychoses (bipolar disorder, depression with psychosis) were identified. Population controls were sampled from the locality.&#x0D; Logistic regression models were used to calculate weighted adjusted (age and sex) odds ratios (waOR) to assess associations. Robust standard errors were used to account for clustering.&#x0D; Results16,863 linked cases with psychosis (affective n=5,694; non-affective n=11,169) were identified alongside 596,125 population controls.&#x0D; Cases with psychosis were more likely to live in areas with the highest population density (waOR 1.17 (1.05, 1.30)) when comparing the lowest quintile to the highest. Non-affective disorders showed the highest association with population density.&#x0D; Being born within the UK was associated with a higher risk of psychosis, and migrants living in the country for longer were at a significantly higher risk than those living in the UK for less time. Socioeconomic predictors, including education, occupation and tenure, were all associated with higher psychosis risk. Racialised minorities were at higher risk of specifically non-affective psychoses. Indicators of isolation (marital status and living alone) were highly associated with psychosis risk.&#x0D; ConclusionsOur findings regarding urbanicity, ethnicity, migration socioeconomic position and social circumstances both confirm and provide further depth to previously identified associations. Novel findings relating to migration and interactions with ethnicity will require further investigation.&#x0D; These insights will provide valuable information for future public health and policy development.

Psychosis Caused by a Somatic Condition: How to Make the Diagnosis? A Systematic Literature Review.

First episode of psychosis (FEP) is a clinical condition that usually occurs during adolescence or early adulthood and is often a sign of a future psychiatric disease. However, these symptoms are not specific, and psychosis can be caused by a physical disease in at least 5% of cases. Timely detection of these diseases, the first signs of which may appear in childhood, is of particular importance, as a curable treatment exists in most cases. However, there is no consensus in academic societies to offer recommendations for a comprehensive medical assessment to eliminate somatic causes. We conducted a systematic literature search using a two-fold research strategy to: (1) identify physical diseases that can be differentially diagnosed for psychosis; and (2) determine the paraclinical exams allowing us to exclude these pathologies. We identified 85 articles describing the autoimmune, metabolic, neurologic, infectious, and genetic differential diagnoses of psychosis. Clinical presentations are described, and a complete list of laboratory and imaging features required to identify and confirm these diseases is provided. This systematic review shows that most differential diagnoses of psychosis should be considered in the case of a FEP and could be identified by providing a systematic checkup with a laboratory test that includes ammonemia, antinuclear and anti-NMDA antibodies, and HIV testing; brain magnetic resonance imaging and lumbar puncture should be considered according to the clinical presentation. Genetic research could be of interest to patients presenting with physical or developmental symptoms associated with psychiatric manifestations.

Medical and Psychiatric Care Preceding the First Psychotic Disorder Diagnosis.

Individuals with psychotic symptoms experience substantial morbidity and have shortened life expectancies; early treatment may mitigate the worst effects. Understanding care preceding a first psychotic disorder diagnosis is critical to inform early detection and intervention. In this observational cohort study using comprehensive information from the Massachusetts All-Payer Claims Database, we identified the first psychotic disorder diagnosis in 2016, excluding those with historical psychotic disorder diagnoses in the prior 48 months among those continuous enrollment data. We reviewed visits, medications, and hospitalizations 2012-2016. We used logistic regression to examine characteristics associated with pre-diagnosis antipsychotic use. There were 2505 individuals aged 15-35 years (146 per 100 000 similarly aged individuals in the database) with a new psychotic disorder diagnosis in 2016. Most (97%) had at least one outpatient visit in the preceding 48 months; 89% had a prior mental health diagnosis unrelated to psychosis (eg, anxiety [60%], depression [60%]). Many received psychotropic medications (77%), including antipsychotic medications (46%), and 68% had a visit for injury or trauma during the preceding 48 months. Characteristics associated with filling an antipsychotic medication before the psychotic disorder diagnosis included male sex and Medicaid insurance at psychosis diagnosis. In this insured population of Massachusetts residents with a new psychotic disorder diagnosis, nearly all had some healthcare utilization, visits for injury or trauma were common, and nearly half filled an antipsychotic medication in the preceding 48 months. These patterns of care could represent either pre-disease signals, delays, or both in receiving a formal diagnosis.

Association between substance-induced psychosis and suicide attempt: A Danish nation-wide register-based study.

Substance-induced psychosis has previously been linked to an excess risk of suicide; however, the association between substance-induced psychosis and suicide attempt has hitherto not been investigated. We investigated whether substance-induced psychosis was associated with a higher risk of subsequent suicide attempt. Nation-wide prospective register-based cohort study. Denmark. All people living in Denmark aged 13 years or more during 1995 to 2017. Substance-induced psychosis and suicide attempts were identified through hospital records as ICD-10 codes. A total of 8900 (78.8% males) individuals were diagnosed with a substance-induced psychosis, and 740 of these had a suicide attempt during follow-up. People with a substance-induced psychosis had a higher risk of a subsequent suicide attempt [hazard ratio (HR) = 13.4, 95% confidence interval (CI) = 12.4-14.4] when compared with the general population. The highest hazard ratios were found for psychosis induced by opioids (HR = 26.4, 95% CI = 18.2-38.2); alcohol (HR = 17.7, 95% CI = 15.2-20.6); sedatives (HR = 17.2, 95% CI = 8.9-33.0); and cocaine (HR = 15.6, 95% CI = 10.7-22.8), while cannabis-induced psychosis was linked to an HR of 8.9 (95% CI = 7.7-10.3). Approximately 15% of patients with substance-induced psychosis had had a suicide attempt within 20 years of their substance-induced psychosis diagnosis. In Denmark, substance-induced psychosis appears to be strongly associated with subsequent suicide attempt, underscoring the importance of attention and better follow-up for this patient group.

When therapists talk to voices: Perspectives from service-users who experience auditory hallucinations.

The purpose of the study was to investigate service-users' experiences of a therapist engaging with their voices (auditory hallucinations) using psychological formulation and direct dialogue. A nested qualitative study was conducted within a randomised controlled trial of a novel intervention for supporting voice hearers with a diagnosis of psychosis (Talking With Voices: TwV). Of 24 participants allocated to therapy, 13 (54%) consented to a semi-structured, in-depth interview which was audio-recorded, transcribed verbatim and analysed using inductive thematic analysis. Participants described their experiences of using the intervention to improve the relationship between themselves and their voice(s). The findings are organised within three themes and associated subthemes: (1) A desire for suitable help (Motivation to reduce voice-related distress, Limitation of other treatment options); (2) Engaging with voices (Challenges, Support and safety, Exploration and revelation); and (3) Contemplating the future (The aftermath of adversity, Living well with voices, Resources for moving forward). Despite the emotional challenges of the work, many participants experienced tangible gains in the ways they related to their voices post-intervention. For those who responded well, the development of safety strategies, including a strong therapeutic alliance, could facilitate a basis for developing new insights about the origin/nature of the voices which could then be applied in constructive ways. Further research is needed to understand which client characteristics indicate suitability for TwV as opposed to relational therapies that require less direct engagement with voices and/or the psychosocial conflicts with which they may be associated.

Health care utilization in children and adolescents with psychiatric disorders.

Mental illness is increasing among young people and likewise the request for health care services. At the same time, somatic comorbidity is common in children and adolescents with psychiatric disorders. There is a lack of studies on health care use in children and adolescents, and the hypothesis was that children and adolescents with psychiatric disorders use more primary-, and specialized somatic health care compared to children without psychiatric disorders. In this retrospective population-based register study, all individuals aged 3-17 years living in Västra Götaland region in Sweden in 2017 were included (n = 298,877). Linear and Poisson regression were used to compare health care use during 2016-2018 between children with and without psychiatric diagnoses, controlling for age and gender. The results were reported as unstandardised beta coefficient (ß) and adjusted prevalence ratio (aPR) respectively. Having a psychiatric diagnosis was associated with more primary care visits (ß 2.35, 95% CI 2.30-2.40). This applied to most diagnoses investigated. Girls had more primary care visits than boys. Likewise, individuals with psychiatric diagnoses had more specialized somatic outpatient care (ß 1.70, 95% CI 1.67-1.73), both planned and unplanned (ß 1.23, 95% CI 1.21-1.25; ß 0.18, 95% CI 0.17-0.19). Somatic inpatient care was more common in those having a psychiatric diagnosis (aPR 1.65, 95% CI 1.58-1.72), with the diagnoses of psychosis and substance use exerting the greatest risk. Psychiatric diagnoses were associated with increased primary-, somatic outpatient- as well as somatic inpatient care. Increased awareness of comorbidity and easy access to relevant health care could be beneficial for patients and caregivers. The results call for a review of current health care systems with distinct division between medical disciplines and levels of health care.

Predictors of long-stay in a tertiary care psychiatry hospital in India.

Many psychiatric patients continue to stay for longer duration in psychiatric institutions. Community reintegration and rehabilitation of such patients needs to be explored to ensure appropriate bed occupancy rates and access to in-patient care for newer patients in need of the same. The aim is to identify the risk and protective factors leading to long-term admission of mentally ill patients in tertiary care hospital. A cross-sectional study was conducted with all patients in the long-stay ward between May 2018 and February 2023. A retrospective chart review followed by cross sectional assessment of risks and disability was carried out with all the patients living in a long-stay psychiatric ward (N = 101) at a tertiary hospital in Bangalore, India, between May 2018 and February 2023. The hospital's average length of stay (LOS) was 5.70 ± 8.30 years. The risk and protective factors for LOS in psychiatric hospitals were analyzed using the Poisson Regression model. The results revealed that the male gender, diagnosis of schizophrenia or psychosis, clinicians' knowledge of family information, good clinical improvement, and higher participation in ward activities are the protective factors for a shorter hospital stay. While higher age, family history of mental illness, being married and employed, absence of children, and/or having family members rarely visiting the patient at the hospital were some factors that increased the risk of LOS. This study highlighted the importance of possible LOS predictors in the tertiary care psychiatric hospital. The multi-disciplinary team may utilize risk and protective factors for delayed LOS to introduce comprehensive psychosocial interventions and policies that reduce the risk of delays or length of stay in mental health hospitals.

Medium secure mental health care for young people: decisions to detain

Medium secure units are one component of secure mental health care for young people across the UK. No research has previously examined the appropriateness of admissions. This is a retrospective cohort study of all patients admitted to one unit by examining clinical notes for demographic, mental health and criminological variables. Descriptive data was statistically analysed to then characterise the cohort, audit against admission criteria and examine changes over time. There were 149 admissions. All patients admitted were male, most were 17 years old and from racialized groups. Most were detained under forensic sections with a primary diagnosis of psychosis. Four of five admissions met all 4 admission criteria. There were notable changes in use of forensic sections and risk over time. Our cohort differs from previous historical and contemporaneous cohorts in terms of diagnosis, legislation determining admission and ethnic breakdown. Our analysis relies on an interpretation of existing admission criteria but it suggests that not all admissions were appropriate, raising important practical, ethical and cost benefit questions. We suggest greater transparency about admission decisions to ensure that patients are admitted to the least restrictive setting needed and that national service planning is responsive to changes in demand.

Gradual Increase in Inflammation-Linked Glycoproteins and a Proatherogenic Lipoprotein Profile in the Early Stages of Psychosis as Characterized by 1H NMR Blood Analysis.

Minimally invasive prognostic markers of inflammation and dyslipidemia in individuals with a risk of psychosis, also called "at-risk mental state" (ARMS), or in the first episode of psychosis (FEP) are of utmost clinical importance to prevent cardiovascular disorders. We analyzed the plasma concentration of inflammation-linked glycoproteins (Glycs) and lipoprotein subclasses by proton nuclear magnetic resonance (1H NMR) in a single acquisition. Study participants were healthy controls (HCs, N = 67) and patients with ARMS (N = 58), FEP (N = 110), or early psychosis diagnosis with ≥2 episodes (critical period (CP), N = 53). Clinical biomarkers such as high-sensitivity C-reactive protein, interleukin 6, fibrinogen, insulin, and lipoproteins were also measured. Although all participants had normal lipoprotein profiles and no inflammation according to conventional biomarkers, a gradual increase in the Glyc 1H NMR levels was observed from HCs to CP patients; this increase was statistically significant for GlycA (CP vs HC). In parallel, a progressive and significant proatherogenic 1H NMR lipoprotein profile was also identified across stages of psychosis (ARMS and CP vs HC). These findings highlight the potential of using 1H NMR Glyc and lipoprotein profiling to identify blood changes in individuals with ARMS or FEP and pave the way for applications using this technology to monitor metabolic and cardiovascular risks in clinical psychiatry.

First episode psychosis and weight gain a longitudinal perspective in Cheshire UK: a comparison between individuals with nonaffective versus affective psychosis.

We undertook an anonymised search across one Primary Care Network in Cheshire, UK with a total population of 32 301 individuals. We reviewed the health records of anyone who had been diagnosed over a 10-year period between June 2012 and June 2022 for the first time with first episode nonaffective psychosis versus psychosis associated with depression or bipolar affective disorder (affective psychosis). The overall % change in BMI was +8% in nonaffective psychosis individuals and +4% in those with a diagnosis of affective psychosis - however, the distribution was markedly skewed for nonaffective psychosis patients. Using caseness as >30% increase in BMI; affective = 4% cases and nonaffective = 13% cases, there was a three-fold difference in terms of increase in BMI. In regression analysis, the r2 linking the initial BMI to % change in BMI was 0.13 for nonaffective psychosis and 0.14 for affective psychosis. The differences observed here in the distribution of weight change over time between individuals with affective versus nonaffective psychosis may relate to underlying constitutional differences. The phenotypic and genetic factors underlying this difference remain to be defined.

Multi-modal hallucinations across diagnoses: What relationships do they have with voice-related distress?

BackgroundResearch into hallucinatory experiences has focused primarily upon hallucinations within the auditory modality, to the relative neglect of other modalities. Furthermore, the exploration of auditory hallucinations (or ‘voices’) has focused primarily upon the experiences of people with a diagnosis of psychosis. The presence of multi-modal hallucinations may have implications across diagnoses for levels of distress, formulation and the targeting of psychological interventions. MethodsThis study presents a cross-sectional analysis of observational data from the PREFER survey (N = 335). Linear regression was used to explore the relationships between voice-related distress and the presence, number, type and timing of multi-modal hallucinations. ResultsSimple relationships were not found between distress and the presence of hallucinations in visual, tactile, olfactory or gustatory modalities, or in the number of modalities experienced. When considering the degree to which another modality hallucination was experienced simultaneously with voices, there was some evidence that the degree of co-occurrence with visual hallucinations was predictive of distress. ConclusionsThe co-occurrence of voices with visual hallucinations may be associated with relatively greater distress, but not consistently, and the association between multimodal hallucinations and clinical impact appear complex and potentially variable from individual to individual. Further study of associated variables such as perceived voice power may further illuminate these relationships.