Search

The SETD1B gene, located on chromosome 12q24, is one of the chromatin‐modifying genes involved in epigenetic regulation of gene transcription. The phenotype of pathogenic variants in the SETD1B gene includes intellectual disability, seizures, and language delay (IDDSELD, OMIM 619000). In this study, we present a family consisting of consanguineous parents who died of cancer and their offspring. This family includes two cases diagnosed with autism spectrum disorder (ASD); six cases diagnosed with schizophrenia, bipolar disorder, or schizoaffective disorder; there cases diagnosed with cancer; and five cases who died of unknown causes in early childhood. Three affected members of this family agreed to genetic testing. We used whole exome sequencing. We report a novel in‐frame deletion variant of the SETD1B gene in a family with cases diagnosed with schizoaffective disorder and ASD without seizures and intellectual disability. It was found that the phenotypic features were inherited for at least three generations in the family we presented, and it was shown that the pathogenic variant of the SETD1B gene was transmitted from the affected parent to his affected children. In addition, the father was diagnosed with both schizoaffective disorder and leukemia. We proposed an association between rare variants of SETD1B and phenotypes of ASD and schizoaffective disorder without seizures and intellectual disability. The SETD1B gene is included in both the ASD genetic database of SFARI (https://gene.sfari.org/) and the cancer database of COSMIC (https://cancer.sanger.ac.uk/cosmic). However, there are very few reports of SETD1B gene variants as clinical entities. To our knowledge, the SETD1B gene variant has not been previously reported in an individual diagnosed with both a neuropsychiatric disorder and cancer. [ABSTRACT FROM AUTHOR]

Background and hypothesis Breast cancer is more prevalent in women with severe mental illness than in the general population, and use of prolactin-increasing antipsychotics may be a contributing factor. Study design A nested case–control study was conducted using the Swedish nationwide registers (inpatient/outpatient care, sickness absence, disability pension, prescribed drugs, cancers). All women aged 18–85 years with schizophrenia/schizoaffective/other nonaffective psychotic disorder/bipolar disorder and breast cancer (cases) were matched for age, primary psychiatric diagnosis, and disease duration with five women without cancer (controls). The association between cumulative exposure to prolactin-increasing/prolactin-sparing antipsychotics and breast cancer was analyzed using conditional logistic regression, adjusted for comorbidities and co-medications. Study results Among 132 061 women, 1642 (1.24%) developed breast cancer between 2010 and 2021, at a mean age of 63.3 ± 11.8 years. Compared with 8173 matched controls, the odds of breast cancer increased in women with prior exposure to prolactin-increasing antipsychotics for 1–4 years (adjusted odds ratio [aOR] = 1.20, 95% confidence interval [CI] = 1.03–1.41), and for ≥ 5 years (aOR = 1.47, 95%CI = 1.26–1.71). There were no increased or decreased odds of breast cancer with exposure to prolactin-sparing antipsychotics of either 1–4 years (aOR = 1.17, 95%CI = 0.98–1.40) or ≥5 years (aOR = 0.99, 95%CI = 0.78–1.26). The results were consistent across all sensitivity analyses (ie, according to different age groups, cancer types, and primary psychiatric diagnosis). Conclusions Although causality remains uncertain, exposure to prolactin-elevating antipsychotics for ≥ 1 year was associated with increased odds of breast cancer in women with severe mental illness. When prescribing antipsychotics, a shared decision-making process should consider individual risk factors for breast cancer. [ABSTRACT FROM AUTHOR]

Background: Major psychotic disorders (MPD), including schizophrenia (SCZ) and schizoaffective disorder (SAD), are severe neuropsychiatric conditions with unclear causes. Understanding their pathophysiology is essential for better diagnosis, treatment, and prognosis. Recent research highlights the role of inflammation and the immune system, particularly the Interleukin 17 (IL-17) family, in these disorders. Elevated IL-17 levels have been found in MPD, and human IL-17 A antibodies are available. Changes in chemokine levels, such as CCL20, are also noted in SCZ. This study investigates the relationship between serum levels of IL-17 A and CCL20 in MPD patients and their clinical characteristics. Method: We conducted a case-control study at the Ibn Sina Psychiatric Hospital (Mashhad, Iran) in 2023. The study involved 101 participants, of which 71 were MPD patients and 30 were healthy controls (HC). The Positive and Negative Symptom Scale (PANSS) was utilized to assess the symptoms of MPD patients. Serum levels of CCL20 and IL-17 A were measured using Enzyme-Linked Immunosorbent Assay (ELISA) kits. We also gathered data on lipid profiles and Fasting Blood Glucose (FBS). Results: The mean age of patients was 41.04 ± 9.93 years. The median serum levels of CCL20 and IL-17 A were significantly elevated in MPD patients compared to HC (5.8 (4.1–15.3) pg/mL and 4.2 (3–5) pg/mL, respectively; p < 0.001). Furthermore, CCL20 and IL-17 A levels showed a positive correlation with the severity of MPD. MPD patients also had significantly higher FBS, cholesterol, and Low-Density Lipoprotein (LDL) levels, and lower High-Density Lipoprotein (HDL) levels compared to HC. No significant relationship was found between PANSS components and blood levels of IL17 and CCL20. Conclusion: The current study revealed that the serum levels of IL-17 A and CCL20 in schizophrenia patients are higher than those in the control group. Metabolic factors such as FBS, cholesterol, HDL, and LDL also showed significant differences between MPD and HC. In conclusion, the findings suggest that these two inflammatory factors could serve as potential therapeutic targets and prognostic biomarkers for schizophrenia. [ABSTRACT FROM AUTHOR]

Accessible SummaryWhat is known on the subject?Functioning is one of the most affected areas in schizophrenia. Social, occupational and personal domains are affected, and these deficits are responsible for a major part of the disability associated with the disorder.There are several instruments to measure functioning, but the HoNOS provides a wide assessment of impairment in 12 areas of functioning.What does the paper add to existing knowledge?The Spanish version of the HoNOS shows good properties in terms of reliability and validity for use in schizophrenia patients.Although some authors divide the scale according to proposed underlying dimensions, in schizophrenia this division may not be appropriate.What are the implications for practice?A reliable and easy‐to‐use measure of impairment in different areas of functioning is useful for optimizing the treatment and rehabilitation of patients with schizophrenia. Introduction: The HoNOS scale was designed for the assessment of psychosocial impairment in various domains. While it is widely used in psychiatric settings, it has not been validated in Spanish for use in patients with schizophrenia. Aim: To examine the psychometric properties of the Spanish version of the HoNOS scale in a sample of schizophrenia patients. Method: A total of 194 individuals aged 18 to 65 with schizophrenia spectrum diagnoses were evaluated using the HoNOS. Illness severity and level of functioning were also assessed. Results: The HoNOS showed moderate internal consistency, good inter‐observer reliability and good test‐retest reliability. Factor analysis revealed an internal structure consisting of four factors, with item distribution differing from the theoretical dimensions proposed for the original scale. Discussion: The Spanish version of the HoNOS scale is a reliable and valid instrument for assessing psychosocial impairment in individuals diagnosed with schizophrenia spectrum disorders. However, further research is needed to determine its internal structure more accurately. Implications for Practice: The HoNOS scale provides researchers and clinicians with a valid measure of impairment in twelve different domains, which can facilitate and guide the treatment of schizophrenia patients. [ABSTRACT FROM AUTHOR]

Background: Psychotic disorders are major psychiatric disorders that can impact multiple domains including physical, social, and psychological functioning within individuals with these conditions. Being able to better predict the outcomes of psychotic disorders will allow clinicians to identify illness subgroups and optimize treatment strategies in a timely manner. Objective: In this scoping review, we aimed to examine the accuracy of the use of artificial intelligence (AI) methods in predicting the clinical outcomes of patients with psychotic disorders as well as determine the relevant predictors of these outcomes. Methods: This review was guided by the PRISMA Guidelines for Scoping Reviews. Seven electronic databases were searched for relevant published articles in English until 1 February 2024. Results: Thirty articles were included in this review. These studies were mainly conducted in the West (63%) and Asia (37%) and published within the last 5 years (83.3%). The clinical outcomes included symptomatic improvements, illness course, and social functioning. The machine learning models utilized data from various sources including clinical, cognitive, and biological variables such as genetic, neuroimaging measures. In terms of main machine learning models used, the most common approaches were support vector machine, random forest, logistic regression, and linear regression models. No specific machine learning approach outperformed the other approaches consistently across the studies, and an overall range of predictive accuracy was observed with an AUC from 0.58 to 0.95. Specific predictors of clinical outcomes included demographic characteristics (gender, socioeconomic status, accommodation, education, and employment); social factors (activity level and interpersonal relationships); illness features (number of relapses, duration of relapses, hospitalization rates, cognitive impairments, and negative and disorganization symptoms); treatment (prescription of first-generation antipsychotics, high antipsychotic doses, clozapine, use of electroconvulsive therapy, and presence of metabolic syndrome); and structural and functional neuroimaging abnormalities, especially involving the temporal and frontal brain regions. Conclusions: The current review highlights the potential and need to further refine AI and machine learning models in parsing out the complex interplay of specific variables that contribute to the clinical outcome prediction of psychotic disorders. [ABSTRACT FROM AUTHOR]

Abstract Background Major psychotic disorders (MPD), including schizophrenia (SCZ) and schizoaffective disorder (SAD), are severe neuropsychiatric conditions with unclear causes. Understanding their pathophysiology is essential for better diagnosis, treatment, and prognosis. Recent research highlights the role of inflammation and the immune system, particularly the Interleukin 17 (IL-17) family, in these disorders. Elevated IL-17 levels have been found in MPD, and human IL-17 A antibodies are available. Changes in chemokine levels, such as CCL20, are also noted in SCZ. This study investigates the relationship between serum levels of IL-17 A and CCL20 in MPD patients and their clinical characteristics. Method We conducted a case-control study at the Ibn Sina Psychiatric Hospital (Mashhad, Iran) in 2023. The study involved 101 participants, of which 71 were MPD patients and 30 were healthy controls (HC). The Positive and Negative Symptom Scale (PANSS) was utilized to assess the symptoms of MPD patients. Serum levels of CCL20 and IL-17 A were measured using Enzyme-Linked Immunosorbent Assay (ELISA) kits. We also gathered data on lipid profiles and Fasting Blood Glucose (FBS). Results The mean age of patients was 41.04 ± 9.93 years. The median serum levels of CCL20 and IL-17 A were significantly elevated in MPD patients compared to HC (5.8 (4.1–15.3) pg/mL and 4.2 (3–5) pg/mL, respectively; p

Background. Currently, researchers are aiming to establish the relationship between neurocognitive disorder and other clinical manifestations of endogenous diseases and functional indicators of the patient’s adaptation to social life. According to some data, the development of cognitive disorders is associated with the severity of catatonic disorders in the clinical picture of various diseases, in particular the presence of catatonic symptoms determines the worst indicators of cognitive functioning in the case of schizophrenia.The aim. To study the clinical and psychopathological features of catatonic syndrome in connection with schizophrenia spectrum disorders, as well as its connection with neurocognitive disorder manifestations among patients with endogenous disorders.Methods. From September 2022 to March 2024, we conducted a prospective, multicenter study of patients (n = 69) suffering from paroxysmal schizophrenia with primary catatonic symptoms in the structure of attacks. Mental status, the severity of catatonic symptoms using Bush – Francis Catatonia Rating Scale, neurocognitive profile using a number of validated scales (Montreal Cognitive Scale, Brief Assessment of Cognition in Schizophrenia, Frontal Assessment Battery) were assessed.Results. Neurocognitive disorder was revealed in all cases studied. It has been noted that, depending on the presence/absence of affective symptoms, various domains of the neurocognitive profile are affected. Thus, in patients without severe affective symptoms, auditory and verbal memory, attention, processing speed, and motor skills are impaired. In patients with pronounced affective disorders, processing speed, motor skills, and problem-solving behavior are affected.Conclusion. Based on the results of processing the material, it was revealed that the most pronounced neurocognitive disorders were found in case of the manifestation of paroxysmal paranoid schizophrenia in male patients with a relatively early onset of the disease and hypokinetic catatonic disorders. In the future, we are planning to compare these results with the results of control group of patients with endogenous diseases and without catatonia.

Introduction: Psychiatric comorbidities have proven a consistent challenge. Recent approaches emphasize the need to move away from categorical descriptions of symptom clusters towards a dimensional view of mental disorders. From the perspective of phenomenological psychopathology, this shift is not enough, as a more detailed understanding of patients' lived experience is necessary as well. One phenomenology-informed approach suggests that we can better understand the nature of psychiatric disorders through personalized network models, a comprehensive description of a person's lifeworld in the form of salient nodes and the relationships between them. We present a detailed case study of a patient with multiple comorbidities, maladaptive coping mechanisms, and adverse childhood experiences. Methods: The case was followed for a period of two years, during which we collected multiple streams of data, ranging from phenomenological interviews, neuropsychological assessments, language analysis, and semi-structured interviews (Examination of Anomalous Self Experience and Examination of Anomalous World Experience). We analytically constructed a personalized network model of his lifeworld. Results: We identified an experiential category "the crisis of objectivity" as the core psychopathological theme of his lifeworld. It refers to his persistent mistrust towards any information that he obtains that he appraises as originating in his subjectivity. We can developmentally trace the crisis of objectivity to his adverse childhood experience, as well as him experiencing a psychotic episode in earnest. He developed various maladaptive coping mechanisms in order to compensate for his psychotic symptoms. Interestingly, we found correspondence between his subjective reports and other sources of data. Discussion: Hernan exhibits difficulties in multiple Research Domain Criteria constructs. While we can say that social sensorimotor, positive valence, and negative valence systems dysfunctions are likely associated with primary deficit (originating in his adverse childhood experience), his cognitive symptoms may be tied to his maladaptive coping mechanisms (although, they might be related to his primary disorder as well). [ABSTRACT FROM AUTHOR]

The specialized literature suggests that the infection with Toxoplasma gondii may be associated with an increased risk of developing psychiatric disorders, particularly those within the schizophrenia spectrum. This article presents a complex case of schizoaffective disorder associated with a recent Toxoplasma gondii infection. Although the infection did not present with obvious clinical symptoms, it was discovered during the seroconversion period, suggesting a recent infectious episode that may be relevant in the context of psychosis. In this infectious background, the biological link raises the possibility of a triggering or exacerbating factor for the current psychotic symptomatology. [ABSTRACT FROM AUTHOR]

Background: Recent research has demonstrated that the dorsal striatum is directly associated with the integration of cognitive, sensory-motor, and motivational/emotional data. Disruptions in the corticostriatal circuit have been implicated in the pathophysiology of psychosis. The dorsal striatum was reported to show lateralized pathology in psychotic disorders. In this study, we aimed to analyze the laterality of the dorsal striatum with texture analysis of T2-weighted magnetic resonance imaging (MRI) images from schizoaffective disorder (SAD) patients. Methods: Twenty SAD patients, met the inclusion criteria and had available cranial MRI data were assigned as the patient group. Twenty healthy individuals were determined as the control group. Texture analysis values were obtained from striatum region of interests (ROI) generated from T2-weighted MRI images. Data are presented as mean and standard deviation. The suitability of the data for normal distribution was analyzed with the Kolmogorov-Smirnov test. Analysis of variance (ANOVA) test (Post Hoc TUKEY) was employed to compare the group data based on test findings. Results: There was no significant difference between the groups in terms of gender and age. There were differences in the values of texture analysis parameters of both caudate and putamen nuclei in comparison to controls. We identified differences in the left dorsal striatum nuclei in SAD. The differences in the putamen were more and more pronounced than in the caudate. Conclusions: Texture analyses suggest that the left dorsal striatum nuclei may be different in SAD patients. Further studies are needed to determine the pathophysiology of SAD and how it may affect disease treatment. [ABSTRACT FROM AUTHOR]

(1) Background: Approximately 1% of the global population is affected by schizophrenia, a disorder marked by cognitive deficits, delusions, hallucinations, and language issues. It is associated with genetic, neurological, and environmental factors, and linked to dopaminergic hyperactivity and neurotransmitter imbalances. Recent research reveals that patients exhibit significant language impairments, such as reduced verbal output and fluency. Advances in machine learning and natural language processing show potential for early diagnosis and personalized treatments, but additional research is required for the practical application and interpretation of such technology. The objective of this study is to explore the applications of natural language processing in patients diagnosed with schizophrenia. (2) Methods: A scoping review was conducted across multiple electronic databases, including Medline, PubMed, Embase, and PsycInfo. The search strategy utilized a combination of text words and subject headings, focusing on schizophrenia and natural language processing. Systematically extracted information included authors, population, primary uses of the natural language processing algorithms, main outcomes, and limitations. The quality of the identified studies was assessed. (3) Results: A total of 516 eligible articles were identified, from which 478 studies were excluded based on the first analysis of titles and abstracts. Of the remaining 38 studies, 18 were selected as part of this scoping review. The following six main uses of natural language processing were identified: diagnostic and predictive modeling, followed by specific linguistic phenomena, speech and communication analysis, social media and online content analysis, clinical and cognitive assessment, and linguistic feature analysis. (4) Conclusions: This review highlights the main uses of natural language processing in the field of schizophrenia and the need for more studies to validate the effectiveness of natural language processing in diagnosing and treating schizophrenia. [ABSTRACT FROM AUTHOR]

Introduction: The psychic structure of people with psychosis has been the subject of theoretical and qualitative considerations. However, it has not been sufficiently studied quantitatively. Therefore, the aim of this study was to explore the structural abilities of people diagnosed with schizophrenia and schizoaffective psychosis using the Levels of Structural Integration Axis of the Operationalized Psychodynamic Diagnosis System (OPD-2-LSIA). The study aimed to determine possible associations between the OPD-2-LSIA and central parameters of illness. Additionally, possible structural differences between people diagnosed with schizophrenia and schizoaffective psychosis were tested. Methods: This cross-sectional study included 129 outpatients with schizophrenia or schizoaffective disorders. Measures of structural integration, symptom load, severity of illness, cognition, and social functioning were obtained. Descriptive statistics were used to analyze the overall structural level and the structural dimensions. Correlation coefficients were computed to measure the associations between OPD-2-LSIA and variables regarding the severity of illness and psychosocial functioning. Regression models were used to measure the influence of illness-related variables on OPD-2-LSIA, and the influence of OPD-2-LSIA on psychosocial functioning. Participants diagnosed with schizophrenia and schizoaffective disorders were examined with regard to possible group differences. Results: The results of the OPD-2-LSIA showed that the overall structural level was between 'moderate to low' and 'low level of structural integration'. Significant correlations were found between OPD-2-LSIA and psychotic symptoms (but not depressive symptoms), as well as between OPD-2-LSIA and psychosocial functioning. It was found that variables related to severity of illness had a significant impact on OPD-2-LSIA, with psychotic, but not depressive symptoms being significant predictors. OPD-2-LSIA was found to predict psychosocial functioning beyond symptoms and cognition. No significant differences were found between participants with schizophrenia and schizoaffective psychosis. There was also no correlation found between OPD-2-LSIA and depressive symptomatology (except for the subdimension Internal communication). Discussion: Contrary to theoretical assumptions, the results of the study show a heterogenous picture of the psychic structure of people with psychosis. The associations between OPD-2-LSIA and severity of illness, particularly psychotic symptomatology, as well as the influence of OPD-2-LSIA on psychosocial functioning, are discussed. [ABSTRACT FROM AUTHOR]

Psychotic symptoms are among themost debilitating and challenging presentations of severe psychiatric diseases, such as schizophrenia, schizoaffective, and bipolar disorder. A pathophysiological understanding of intrinsic brain activity underlying psychosis is crucial to improve diagnosis and treatment. While a potential continuum along the psychotic spectrum has been recently described in neuroimaging studies, especially for what concerns absolute and relative amplitude of low-frequency fluctuations (ALFF and fALFF), these efforts have given heterogeneous results. A transdiagnostic meta-analysis of ALFF/fALFF in patients with psychosis compared to healthy controls is currently lacking. Therefore, in this pre-registered systematic review and meta-analysis PubMed, Scopus, and Embase were searched for articles comparing ALFF/fALFF between psychotic patients and healthy controls. A quantitative synthesis of differences in (f) ALFF between patients along the psychotic spectrum and healthy controls was performed with Seed-based d Mapping, adjusting for age, sex, duration of illness, clinical severity. All results were corrected for multiple comparisons by Family-Wise Error rates. While lower ALFF and fALFF were detected in patients with psychosis in comparison to controls, no specific finding survived correction for multiple comparisons. Lack of this correction might explain the discordant findings highlighted in previous literature. Other potential explanations include methodological issues, such as the lack of standardization in pre-processing or analytical procedures among studies. Future research on ALFF/fALFF differences for patients with psychosis should prioritize the replicability of individual studies. Systematic review registration: https://osf.io/, identifier (ycqpz). [ABSTRACT FROM AUTHOR]

Although uncommon, the risk of aggression and violence is greater in people with schizophrenia than in the general population. Clozapine is the "gold standard" pharmacologic treatment for the management of persistent agitation and aggression in people with schizophrenia and is consistently recommended by guidelines and reviews for this purpose. Although clozapine is indicated for treatment-resistant schizophrenia based on its superior efficacy, studies have proposed that clozapine may have specific properties that ameliorate aggression and hostility that are distinct from its antipsychotic effects. A literature review was conducted on June 3, 2023, using the US National Library of Medicine's PubMed resource to identify articles focusing on clozapine for the treatment of aggression, violence, and/or hostility in patients with schizophrenia or schizoaffective disorder. The majority of evidence, including from randomized control trials, supports the utilization of clozapine as maintenance treatment for persistent aggressive behavior in patients with schizophrenia, and supports that its anti-aggressive effects may be independent from its antipsychotic properties (e.g. – treatment of hallucinations and delusions). Future randomized control studies evaluating clozapine and clozapine serum levels with aggression as the primary outcome would be of benefit. [ABSTRACT FROM AUTHOR]

Background Severe mental illness (SMI), which includes schizophrenia, schizoaffective disorder and bipolar disorder, has profound health impacts, even in the elderly. Aims To evaluate relative risk of hospital admission and length of hospital stay for physical illness in elders with SMI. Method To construct a population-based retrospective cohort observed from April 2007 to March 2016, data from a case registry with full but de-identified electronic health records were retrieved for patients of the South London and Maudsley NHS Foundation Trust, the single secondary mental healthcare service provider in south-east London. We compared participants with SMI aged >60 years old with the general population of the same age and residing in the same areas through data linkage by age-, sex- and fiscal-year-standardised admission ratios (SARs) for primary diagnoses at hospital discharge. Furthermore, we compared the duration of hospital stay with an age-, sex- and cause-of-admission-matched random group by linear regression for major causes of admission. Results In total, records for 4175 older people with SMI were obtained, relating to 10 342 admission episodes, showing an overall SAR for all physical illnesses of 5.15 (95% CI: 5.05, 5.25). Among the top causes of admission, SARs ranged from 3.87 for circulatory system disorders (ICD-10 codes: I00–I99) to 6.99 for genitourinary system or urinary conditions (N00–N39). Specifically, the diagnostic group of ‘symptoms, signs and findings, not elsewhere classified’ (R00–R99) had an elevated SAR of 6.56 (95% CI: 6.22, 6.90). Elders with SMI also had significantly longer hospital stays than their counterparts in the general population, especially for digestive system illnesses (K00–K93), after adjusting for confounding. Conclusions Poorer overall physical health and specific patterns were identified in elders with SMI.

This study aims to shed light on the construction of the concept of mania in the field of psychopathology. The article addresses the historical evolution of mania, from manic-depressive illness to the diagnosis of bipolar and schizoaffective disorders. It was observed that the current concept of mania is a product of the second half of the 19th century, although it originates from the classical Greek period, when it was understood as a way of being, and then, throughout history, was reduced to a psychopathological symptom. Currently, mania is again being considered in a broader sense, as manic functioning, but without excluding its symptomatic condition. It is from this position that we situate it as a phenomenon, encompassing the symptom and the lived experience, from the perspective constructed from phenomenological psychopathology, which looks at the manic experience not by reducing it to a natural fact, but by understanding it as a historical-cultural phenomenon, constructed in the world of human relationships.

Background: Both overweight and cognitive deficits are common among people with schizophrenia (SZ) and schizoaffective disorder. The results in earlier studies have been inconsistent on whether overweight is associated with cognitive deficits in psychotic disorders. Aims: Our aim in this study was to detect possible associations between obesity and cognitive deficits among study participants with SZ and schizoaffective disorder. Methods: The study sample included 5382 participants with a clinical diagnosis of SZ or schizoaffective disorder selected from the Finnish SUPER study. Obesity was measured both with body-mass index and waist circumference. The cognitive performance was evaluated with two tests from the Cambridge automated neuropsychological test battery: Reaction time was evaluated with the 5-choice serial reaction time task. Visual memory was evaluated with the paired associative learning test. The final analysis included a total sample of 4498 participants applicable for the analysis of the reaction time and 3967 participants for the analysis of the visual memory. Results: Obesity measured with body-mass index was associated with better performance in reaction time task among both female and male participants. Among male participants, overweight was associated with better performance in the visual memory test. The waist circumference was not associated with cognitive measures. Conclusions: The results suggest that obesity in people with SZ or schizoaffective disorder might not be associated with cognitive deficits but instead with better cognitive performance. The results were opposite from earlier literature on the general population. More research is required to better understand whether the results might be partly caused by the differences in the etiology of obesity between the general population and people with SZ.

BACKGROUND: Self-stigma remains one of the most vexing issues in psychiatry. It complicates the treatment and social functioning of patients with endogenous psychiatric disorders. Identifying the specific features of self-stigma depending on the type and duration of the endogenous mental illness can help solve this problem. AIM: The aim of this study was to establish the level and specific features of self-stigma in patients with various types of chronic endogenous psychiatric disorders at different disease stages and to establish the correlation between the level of self-stigma and the attitude of the patient to his/her disease and treatment. METHODS: Clinical psychopathology assessment, psychometric scales and questionnaires: “Positive and Negative Syndrome Scale” (PANSS), “Questionnaire for Self-Stigma Assessment in Mentally Ill Patients”, and Russian versions of the “Insight Scale for Psychosis” (ISP), and “Drug Attitude Inventory” (DAI-10). The cross-sectional study included 86 patients with endogenous mental illnesses (bipolar affective disorder and schizophrenia spectrum disorders. RESULTS: The analysis of the results of the “Questionnaire for Self-Stigma Assessment in Mentally Ill Patients” showed that at the initial disease stages the highest level of self-stigma is observed in patients with bipolar affective disorder (M±σ=1.22±0.73; Me [Q1; Q3]=1.10 [0.83; 1.60]), while the lowest level was observed in patients with schizophrenia spectrum disorders (M±σ=0.86±0.53; Me [Q1; Q3]=0.77 [0.31; 1.25]). Patients with schizophrenia and schizoaffective disorder and a disease duration more than five years participating in a long-term comprehensive psychosocial rehabilitation program also demonstrated high rates of self-stigma (M±σ=1.20±0.57, Me [Q1; Q3]=1.26 [0.89; 1.47]). The study groups showed differences in terms of the structure of components of self-stigma and their severity; significant correlations were uncovered between the self-stigma parameters and the attitude of patients to their disease and therapy. CONCLUSION: The results of this study contribute to a better understanding of the specific features of self-stigma in patients with various endogenous disorders at different stages of the disease. These data can be used as part of a comprehensive psychosocial treatment program for this patient cohort, as well as for future research.

BACKGROUND: RE-KINECT (NCT03062033), a real-world study of possible tardive dyskinesia (TD) in antipsychotic-treated patients, included a questionnaire to assess the effects of patients abnormal involuntary movements on caregivers. AIMS: To capture the experiences of caregivers who assisted individuals with abnormal involuntary movements that were confirmed by clinicians as being consistent with TD. METHODS: Qualified (nonpaid) caregivers were invited to complete a questionnaire that included the following: caregivers sociodemographic characteristics, their perceptions about the impact of abnormal involuntary movements on patients, and the impact of these movements on themselves (caregivers). RESULTS: Of the 41 participating caregivers, 25 (61.0%) were women, 20 (48.8%) were employed full time or part time, and 35 (85.4%) were family members or friends. Based on responses from caregivers who noticed patients abnormal involuntary movements and were caring for individuals who also noticed those movements, 48.0% of patients had a lot of severity in ≥1 body region and 76.0% had abnormal involuntary movements in ≥2 regions. Caregiver ratings were significantly correlated with patient ratings (but not with clinician ratings) for maximum severity of abnormal involuntary movements and the number of affected regions (both p

• Patients with schizophrenia and schizoaffective disorder have distinct alterations in arousal mechanisms. • The arousal mechanisms are relatively more preserved in schizoaffective disorder compared to schizophrenia. • Arousal in high alpha band is associated with negative symptoms in schizophrenia. Alpha activity in the electroencephalogram (EEG) is typically dominant during rest with closed eyes but suppressed by visual stimulation. Previous research has shown that alpha-blockade is less pronounced in schizophrenia patients compared to healthy individuals, but no studies have examined it in schizoaffective disorder. A resting state EEG was used for the analysis of the alpha-reactivity between the eyes closed and the eyes opened conditions in overall (8 – 13 Hz), low (8 – 10 Hz) and high (10 – 13 Hz) alpha bands in three groups: schizophrenia patients (SC, n = 30), schizoaffective disorder (SA, n = 30), and healthy controls (HC, n = 36). All patients had their first psychotic episode and were receiving antipsychotic therapy. A significant decrease in alpha power was noted across all subjects from the eyes-closed to eyes-open condition, spanning all regions. Alpha reactivity over the posterior regions was lower in SC compared to HC within overall and high alpha. SA showed a trend towards reduced alpha reactivity compared to HC, especially evident over the left posterior region within the overall alpha. Alpha reactivity was more pronounced over the middle and right posterior regions of SA as compared to SC, particularly in the high alpha. Alpha reactivity in SC and SA patients was associated with various negative symptoms. Our findings imply distinct alterations in arousal mechanisms in SC and SA and their relation to negative symptomatology. Arousal is more preserved in SA. This study is the first to compare the EEG features of arousal in SC and SA. [ABSTRACT FROM AUTHOR]

Background: Although diagnostic instability in first-episode psychosis (FEP) is of major concern, little is known about its determinants. This very long-term follow-up study aimed to examine the diagnostic stability of FEP diagnoses, the baseline predictors of diagnostic change and the timing of diagnostic change. Methods: This was a longitudinal and naturalistic study of 243 subjects with FEP who were assessed at baseline and reassessed after a mean follow-up of 21 years. The diagnostic stability of DSM-5 psychotic disorders was examined using prospective and retrospective consistencies, logistic regression was used to establish the predictors of diagnostic change, and survival analysis was used to compare time to diagnostic change across diagnostic categories. Results: The overall diagnostic stability was 47.7%. Schizophrenia and bipolar disorder were the most stable diagnoses, with other categories having low stability. Predictors of diagnostic change to schizophrenia included a family history of schizophrenia, obstetric complications, developmental delay, poor premorbid functioning in several domains, long duration of untreated continuous psychosis, spontaneous dyskinesia, lack of psychosocial stressors, longer duration of index admission, and poor early treatment response. Most of these variables also predicted diagnostic change to bipolar disorder but in the opposite direction and with lesser effect sizes. There were no significant differences between specific diagnoses regarding time to diagnostic change. At 10-year follow-up, around 80% of the diagnoses had changed. Conclusions: FEP diagnoses other than schizophrenia or bipolar disorder should be considered as provisional. Considering baseline predictors of diagnostic change may help to enhance diagnostic accuracy and guide therapeutic interventions. [ABSTRACT FROM AUTHOR]

Introduction: People with psychosis spectrum disorders (PSD) face an elevated risk of metabolic syndrome (MetS), which may reduce their life expectancy by nearly 20%. Pinpointing the shared and specific characteristics and clinical implications of MetS in PSD is crucial for designing interventions to reduce this risk, but an up-to-date review on MetS across the psychosis spectrum is lacking. Methods: This narrative review fills this gap by examining the clinical literature on characteristics and implications of MetS in both distinct PSD and transdiagnostically, i.e., across traditional categorical diagnoses, with a focus on psychiatric and cardio-metabolic management. Results: We discuss common and specific characteristics of MetS in PSD, as well as factors contributing to MetS development in PSD patients, including unhealthy lifestyle factors, genetic predisposition, pro-inflammatory state, drugs consumption, antipsychotic medication, and psychotic symptoms. We highlight the importance of early identification and management of cardio-metabolic risk in PSD patients, as well as the existing gaps in the literature, for instance in the screening for MetS in younger PSD patients. We compare hypotheses-generating clinical associations and characteristics of MetS in different PSD, concluding by reviewing the existing recommendations and challenges in screening, monitoring, and managing MetS in PSD. Conclusion: Early identification and management of MetS are crucial to mitigate the long-term cardio-metabolic toll in PSD patients. Interventions should focus on healthy lifestyle and appropriate pharmacological and behavioral interventions. Further translational and clinical research is needed to develop targeted interventions and personalized treatment approaches for this vulnerable population, aiming at improving physical health and overall well-being. [ABSTRACT FROM AUTHOR]

Introduction: The purpose of this study was to assess internet, social media, and related technology use in patients with serious mental disorders, and to examine their relationship with disease severity and functionality and gain insight about the thoughts of patients with severe mental disorders on benefits and risks of social media. Methods: The study included 150 patients with bipolar disorder and 150 patients with schizophrenia spectrum disorder (82 with schizophrenia, 56 with psychotic disorders not otherwise specified and 12 with schizoaffective disorder) in remission. Information about demographics, clinical features, the use of social media and related technologies, and opinions on social media use were obtained via a data form prepared by the clinicians. Severity of disease and symptoms were measured using the Hamilton Rating Scale for Depression, the Young Mania Rating Scale, the Brief Psychiatric Rating Scale and, the Clinic Global Impression Scale. The Functioning Assessment Short Test was used to evaluate psychosocial functioning. Results: Among the patients who participated in the current study, 65.3% (n=196) reported internet use and, 59.7% (n=179) reported social media use. The Functioning Assessment Short Test total scores and the Clinic Global Impression Scale scores were significantly higher in patients who did not use social media than in those who did. The use of social media, mobile phones, smartphones, short message services (SMS), e-mail was significantly higher in patients with bipolar disorder than in patients with schizophrenia spectrum disorder. Conclusion: The use of social media, Internet and mobile devices cannot be underestimated among patients with serious mental disorders. [ABSTRACT FROM AUTHOR]

Individuals with schizophrenia diagnoses are high-risk for dropout from mental health treatments, yet few studies have examined whether familial involvement in therapy impacts dropout. We examined whether familial involvement and other demographic variables predicted dropout among 101 patients enrolled in culturally informed group therapy for people diagnosed with 'schizophrenia' (CIGT-S), which incorporates collectivistic principles and spiritual coping into treatment. We reviewed records and conducted follow-up calls to identify reasons for dropout, and performed survival analyses to identify when dropout was likely. Familial involvement was linked to greater engagement with treatment and lower dropout, signifying a mechanism for improving treatment attendance in this group. Ethnic minorities and patients with higher symptom severity demonstrated higher rates of dropout. Most patients dropped out of CIGT-S before treatment began. However, significantly lower levels of dropout were observed among those who made it to session 9 (end of the spirituality module). An inability to maintain contact with participants was the most cited reason for dropout within records, and structural reasons (e.g. moving away) were commonly cited among participants who were successfully followed-up with. Future work may identify whether family functioning or the quality of familial relationships may predict familial involvement and, consequently, treatment attendance. [ABSTRACT FROM AUTHOR]

Metabolic Syndrome (MetS) is a risk for developing cardiovascular diseases and its prevalence is especially high in psychiatric patients. To date, there is limited data from the United Arab Emirates (UAE) on the prevalence of MetS. Therefore, we aimed to investigate its prevalence and possible risk factors in a large sample of psychiatric patients in the UAE. A cross-sectional study was conducted at Al-Ain Hospital, in Al-Ain City, UAE. We collected demographic and clinical data on patients diagnosed with schizophrenia, schizoaffective, and bipolar affective disorder in the period between January 2017 and December 2020. This included their secondary diagnosis (psychiatric or medical), vital signs (heart rate, systolic and diastolic blood pressure, Body Mass Index [BMI]), metabolic parameters (fasting blood glucose, cholesterol, triglycerides, low-density lipoprotein, high-density lipoproteins), and prescribed medications. We used the American Association of Clinical Endocrinology (AACE) criteria to diagnose MetS. We included 889 subjects and of these, 79.8% (N = 709) had a BMI ≥25 kg/m2 and 9.8% (N = 87) had no abnormal metabolic parameters. Overall, 28.1% (N = 250) had MetS with no statistical difference between the three groups. Fasting blood glucose levels and abnormally elevated triglycerides were significant predictors for MetS. Our study found that around one in three patients had MetS irrespective of the three diagnoses. Some variables were significant predictors for MetS. Our findings were consistent with other studies and warrant the need for regular screening and management of abnormal metabolic parameters. There is no statistical difference between schizophrenia, schizoaffective disorder, and bipolar disorder with regards to the prevalence of metabolic syndrome. Fasting blood glucose levels and abnormally elevated triglycerides were significant predictors of metabolic syndrome. Screening of metabolic parameters is important as well as the careful tailoring of the choice of antipsychotics. [ABSTRACT FROM AUTHOR]

IntroductionPsychiatric comorbidities have proven a consistent challenge. Recent approaches emphasize the need to move away from categorical descriptions of symptom clusters towards a dimensional view of mental disorders. From the perspective of phenomenological psychopathology, this shift is not enough, as a more detailed understanding of patients’ lived experience is necessary as well. One phenomenology-informed approach suggests that we can better understand the nature of psychiatric disorders through personalized network models, a comprehensive description of a person’s lifeworld in the form of salient nodes and the relationships between them. We present a detailed case study of a patient with multiple comorbidities, maladaptive coping mechanisms, and adverse childhood experiences.MethodsThe case was followed for a period of two years, during which we collected multiple streams of data, ranging from phenomenological interviews, neuropsychological assessments, language analysis, and semi-structured interviews (Examination of Anomalous Self Experience and Examination of Anomalous World Experience). We analytically constructed a personalized network model of his lifeworld.ResultsWe identified an experiential category “the crisis of objectivity” as the core psychopathological theme of his lifeworld. It refers to his persistent mistrust towards any information that he obtains that he appraises as originating in his subjectivity. We can developmentally trace the crisis of objectivity to his adverse childhood experience, as well as him experiencing a psychotic episode in earnest. He developed various maladaptive coping mechanisms in order to compensate for his psychotic symptoms. Interestingly, we found correspondence between his subjective reports and other sources of data.DiscussionHernan exhibits difficulties in multiple Research Domain Criteria constructs. While we can say that social sensorimotor, positive valence, and negative valence systems dysfunctions are likely associated with primary deficit (originating in his adverse childhood experience), his cognitive symptoms may be tied to his maladaptive coping mechanisms (although, they might be related to his primary disorder as well).

Importance: Individuals with schizophrenia are at higher risk for severe COVID-19 illness and severe breakthrough infection following vaccination. It is unclear whether immune response to vaccination differs in this population. Objective: To assess whether anti-SARS-CoV-2 spike antibody titers after vaccination differ in people with a diagnosis of schizophrenia or schizoaffective disorder (SZ) compared to controls without a psychiatric disorder. Design: This cohort study assessed antibody response following the first and second dose of mRNA vaccines at longitudinal timepoints, up to 7 weeks following the first dose of vaccine. Setting: A multi-center study including psychiatric healthcare settings in the United States and Europe. Participants: 205 adults with no history of COVID-19 infection, including 106 individuals with SZ and 99 controls without a psychiatric disorder, who received their first dose of SARS-CoV-2 mRNA vaccine between December 20, 2020 and May 27, 2021. Main outcomes and measures: Mean SARS-CoV-2 anti-Spike IgG antibody levels within 7 weeks after the first dose of vaccination. Results: A total of 205 individuals (mean [SD] age, 44.7 [12.0] years; 90 [43.9%] male) were included, of which 106 (51.7%) were diagnosed with SZ. SZ was associated with lower mean log antibody levels (−0.15; 95% CI, −0.27 to −0.03, P = 0.016) after adjusting for age, sex, body mass index, smoking, days since vaccination, and vaccine manufacturer. In secondary analyses of dose-specific responses, SZ was associated with a lower mean log antibody level after the second dose of vaccine (−0.23; 95% CI -0.39 to −0.06, P = 0.006), but not the first dose of vaccine (0.00; 95% CI -0.18— 0.19, P = 0.96). Conclusions and Relevance: In this cohort study of individuals with SZ and a control group without psychiatric disorders, SZ was associated with lower SARS-CoV-2 anti-spike antibody levels following 2 doses of SARS-CoV-2 mRNA vaccination. This highlights the need for further studies assessing vaccine immunogenicity in individuals with schizophrenia.

Psychotic symptoms are among the most debilitating and challenging presentations of severe psychiatric diseases, such as schizophrenia, schizoaffective, and bipolar disorder. A pathophysiological understanding of intrinsic brain activity underlying psychosis is crucial to improve diagnosis and treatment. While a potential continuum along the psychotic spectrum has been recently described in neuroimaging studies, especially for what concerns absolute and relative amplitude of low-frequency fluctuations (ALFF and fALFF), these efforts have given heterogeneous results. A transdiagnostic meta-analysis of ALFF/fALFF in patients with psychosis compared to healthy controls is currently lacking. Therefore, in this pre-registered systematic review and meta-analysis PubMed, Scopus, and Embase were searched for articles comparing ALFF/fALFF between psychotic patients and healthy controls. A quantitative synthesis of differences in (f)ALFF between patients along the psychotic spectrum and healthy controls was performed with Seed-based d Mapping, adjusting for age, sex, duration of illness, clinical severity. All results were corrected for multiple comparisons by Family-Wise Error rates. While lower ALFF and fALFF were detected in patients with psychosis in comparison to controls, no specific finding survived correction for multiple comparisons. Lack of this correction might explain the discordant findings highlighted in previous literature. Other potential explanations include methodological issues, such as the lack of standardization in pre-processing or analytical procedures among studies. Future research on ALFF/fALFF differences for patients with psychosis should prioritize the replicability of individual studies.Systematic review registrationhttps://osf.io/, identifier (ycqpz).

Milestone achievements are reduced in people with schizophrenia and are lower in comparison to people with bipolar disorder. However, it is not clear what the implications are for engagement in momentary activities based on milestone achievements. Further, some recent research has suggested that psychotic symptoms are associated with challenges in self-assessment of activities, but there is less information about the correlations of milestone achievements and ongoing psychotic symptoms. We examined momentary activities and symptoms as a function of lifetime milestone achievement in 102 individuals with schizophrenia and 71 with bipolar disorder. Ecological Momentary Assessment (EMA) was used to sample daily activities and concurrent symptoms 3 times per day for 30 days. Each survey asked the participant where they were, who they were with, and what they were doing, as well as sampling the concurrent presence of psychotic symptoms. Not being financially responsible for their residence was associated with engaging in fewer productive activities. Participants who never had a relationship were more commonly home and alone and engaged in fewer social interactions. A lifetime history of employment was correlated with engaging in more productive activities, including at home. More common momentary psychosis was seen in participants who failed to achieve each of the functional milestones. Lifetime milestone achievements were associated with greater frequencies of productive behaviors and with fewer momentary experiences of psychosis, suggesting that psychotic symptoms may have importance for sustaining disability that would be challenging to detect without momentary information.

Abstract Objectives Lithium (Li) remains one of the most valuable treatment options for mood disorders. However, current knowledge about prescription practices in Germany is limited. The objective of this study is to estimate the prevalence of current Li use over time and in selected diagnoses, highlighting clinically relevant aspects such as prescription rates in elderly patients, concomitant medications, important drug–drug interactions, and serious adverse events. Methods We conducted a descriptive analysis of Li prescriptions, analyzing data from the ongoing Bavarian multicenter drug safety project Pharmaco-Epidemiology and Vigilance (Pharmako-EpiVig) from the years 2014–2021. Our study included 97,422 inpatients, 4543 of whom were prescribed Li. Results The Li prescription rate in unipolar depression (UD) remained constant at 4.6% over the observational period. In bipolar disorder (BD), the prescription rate increased significantly from 28.8% in 2014 to 34.4% in 2019. Furthermore, 30.3% of patients with Li prescriptions did not have a diagnosis of BD or UD, and 15.3% of patients with schizoaffective disorder were prescribed Li. The majority (64%) of patients with Li prescriptions were prescribed five or more drugs. Most of the 178 high-priority drug–drug interactions were due to hydrochlorothiazide (N = 157) followed by olmesartan (N = 16). Conclusion Our study does not substantiate concerns about a decline in Li prescription. The decline in prescription rates observed in some diagnostic groups in 2020 and 2021 may be associated with the COVID-19 pandemic. The symptom-oriented use of Li beyond BD and UD is common. Polypharmacy and drug–drug interactions present a challenge in Li therapy. Old age and comorbid substance use disorder do not appear to be major deterrents for clinicians to initiate Li therapy.

• People with psychosis were less accepting of their experiences than controls. • People with psychosis and mood symptoms were even less accepting. • Greater acceptance is associated with important treatment targets, such as mood. • Results support the importance of mindful acceptance for people with psychosis. Mindfulness-based treatments are efficacious for psychotic disorders (PD). However, which components of mindfulness (i.e., attentive monitoring and nonjudgmental acceptance) are most relevant treatment targets is unclear. Further, there is a dearth of literature examining clinical correlates of mindfulness in people with PD. The present study aimed to examine group differences and clinical correlates of mindfulness in people with PD. We hypothesized that PD would report lower monitoring and acceptance than CN and that mindfulness components would be associated with symptoms including dysfunctional beliefs, alexithymia, neurocognitive ability, positive symptoms, and mood symptoms. Groups included individuals with PD (n = 54) and nonpsychiatric controls (n = 55). Participants completed self-report measures of mindfulness and related constructs and clinical interviews of symptoms. Results of ANOVA models indicated that global mindfulness was lower in PD relative to CN, with greatest differences evident for acceptance in the affective psychosis group. Regression models found that greater monitoring was associated with improved neurocognitive performance, while acceptance was associated with lower defeatist beliefs, alexithymia, and depression/anxiety symptoms. Results highlight the importance of targeting acceptance in the psychosocial treatment of PDs, especially for those with mood symptoms. [ABSTRACT FROM AUTHOR]

Hallucinations can be experienced across multiple sensory modalities, but psychiatric studies investigating the cognitive mechanisms of hallucinations have been somewhat restricted to the auditory domain. This study explored the cognitive profiles of individuals experiencing multisensory hallucinations (MH) in schizophrenia-spectrum disorders (SSD) and compared these to those experiencing unimodal auditory hallucinations (AH) or no hallucinations (NH). Participants included SSD patients (n = 119) stratified by current hallucination status (NH, AH, MH) and nonclinical controls (NCs; n = 113). Group performance was compared across several cognitive domains: speed of processing, attention, working memory, verbal learning, visual learning, reasoning and problem-solving, social cognition, and inhibition. The clinical groups performed worse than NCs but differences between the clinical groups were not evident across most cognitive domains. Exploratory analyses revealed that the MH group was more impaired on the visual learning task compared to the NH (but not AH) group. Preliminary results suggest that impaired visual learning may be related to MH. This could be attributed to the presence of visual hallucinations (VH), or greater psychopathology, in this group. However, replication is needed, as well as the investigation of other potential cognitive mechanisms of MH. [ABSTRACT FROM AUTHOR]

Negative symptoms reflect a currently much-untreated loss of normal functioning and are frequently found in psychotic disorders. We present the first translation of the Brief Negative Symptom Scale (BNSS) to European Portuguese and evaluate its validity in a sample of Portuguese male patients with a psychotic spectrum disorder. The Portuguese BNSS showed excellent internal consistency, high convergent validity (i.e., strong correlation with the PANSS negative factor), and high discriminant validity (i.e., a lack of association with the PANSS positive factor). In sum, the present European Portuguese BNSS has shown to be reliable, thus extending this instrument's clinical availability worldwide. [ABSTRACT FROM AUTHOR]

Catatonia is a complex syndrome encompassing motor, behavioral, and affective symptoms seen in a significant proportion of patients with schizophrenia. There is growing evidence to suggest affective dysregulation is a salient feature of both catatonia and schizophrenia. To test the hypothesis of a linkage between affective dysregulation and catatonia in schizophrenia, we searched electronic medical records from 36,839 patients with schizophrenia, using anxiety and depression diagnoses as proxies for affective dysregulation. Catatonia was found in 4.7 % of the cohort. Analyses indicated that catatonia was significantly associated with both anxiety and depression co-morbidities: schizophrenia patients with catatonia were 1.71 times more likely to have anxiety and 1.80 times more likely to have depression than those without catatonia. Benzodiazepine usage was also 7.73 times more common in schizophrenia patients with a catatonia diagnosis than without that diagnosis. Taken together, the findings could be related to GABAergic dysfunction underlying schizophrenia, catatonia, and affective dysregulation. [ABSTRACT FROM AUTHOR]

Objectives: Lithium (Li) remains one of the most valuable treatment options for mood disorders. However, current knowledge about prescription practices in Germany is limited. The objective of this study is to estimate the prevalence of current Li use over time and in selected diagnoses, highlighting clinically relevant aspects such as prescription rates in elderly patients, concomitant medications, important drug–drug interactions, and serious adverse events. Methods: We conducted a descriptive analysis of Li prescriptions, analyzing data from the ongoing Bavarian multicenter drug safety project Pharmaco-Epidemiology and Vigilance (Pharmako-EpiVig) from the years 2014–2021. Our study included 97,422 inpatients, 4543 of whom were prescribed Li. Results: The Li prescription rate in unipolar depression (UD) remained constant at 4.6% over the observational period. In bipolar disorder (BD), the prescription rate increased significantly from 28.8% in 2014 to 34.4% in 2019. Furthermore, 30.3% of patients with Li prescriptions did not have a diagnosis of BD or UD, and 15.3% of patients with schizoaffective disorder were prescribed Li. The majority (64%) of patients with Li prescriptions were prescribed five or more drugs. Most of the 178 high-priority drug–drug interactions were due to hydrochlorothiazide (N = 157) followed by olmesartan (N = 16). Conclusion: Our study does not substantiate concerns about a decline in Li prescription. The decline in prescription rates observed in some diagnostic groups in 2020 and 2021 may be associated with the COVID-19 pandemic. The symptom-oriented use of Li beyond BD and UD is common. Polypharmacy and drug–drug interactions present a challenge in Li therapy. Old age and comorbid substance use disorder do not appear to be major deterrents for clinicians to initiate Li therapy. [ABSTRACT FROM AUTHOR]

Background: Patients with schizophrenia and schizoaffective disorder often require longer admissions. Aim: To explore length of stay (LOS) and associated factors of patients with schizophrenia and schizoaffective disorder, admitted to a public sector specialised psychiatric hospital, over a 4-year period. Setting: The study was conducted at Tara Hospital in Johannesburg. Methods: A retrospective record review of 367 adult schizophrenia and schizoaffective disorder patients admitted between 01 January 2015 and 31 December 2018. Average LOS was calculated and the proportion of short-stay ( 30 days), medium-stay (31–90 days) and long-stay ( 90 days) admissions determined. Sociodemographic, clinical and admission outcome data were collected and analysed from a randomly selected subset of patients in each LOS category. Results: Mean LOS was 128 days (median 87, interquartile range [IQR] 49–164, range 0–755 days). A significantly greater proportion had long-stay admissions (p 0.001). Male gender (p = 0.018), being unmarried (p = 0.006), treatment resistant (p 0.001) and on clozapine (p = 0.009) were factors found to have a significant association with long-stay admissions. Rates of unemployment ( 80%), comorbid substance use disorders ( 40%), medical illnesses ( 40%), antipsychotic polypharmacy ( 40%) and readmissions ( 80%) were high. Most ( 80%) were discharged. Conclusion: Long-stay admissions were frequently required for patients with schizophrenia and schizoaffective disorder admitted to Tara Hospital. Contribution: This study highlights factors associated with long-stay admissions in patients with schizophrenia and schizoaffective disorder. More research is needed into whether increased access to community-based services, such as residential and daycare facilities, outpatient substance rehabilitation programmes and dual diagnosis clinics, could translate into shorter admissions, less frequent relapses and improved outcomes in this population.

IntroductionPeople with psychosis spectrum disorders (PSD) face an elevated risk of metabolic syndrome (MetS), which may reduce their life expectancy by nearly 20%. Pinpointing the shared and specific characteristics and clinical implications of MetS in PSD is crucial for designing interventions to reduce this risk, but an up-to-date review on MetS across the psychosis spectrum is lacking.MethodsThis narrative review fills this gap by examining the clinical literature on characteristics and implications of MetS in both distinct PSD and transdiagnostically, i.e., across traditional categorical diagnoses, with a focus on psychiatric and cardio-metabolic management.ResultsWe discuss common and specific characteristics of MetS in PSD, as well as factors contributing to MetS development in PSD patients, including unhealthy lifestyle factors, genetic predisposition, pro-inflammatory state, drugs consumption, antipsychotic medication, and psychotic symptoms. We highlight the importance of early identification and management of cardio-metabolic risk in PSD patients, as well as the existing gaps in the literature, for instance in the screening for MetS in younger PSD patients. We compare hypotheses-generating clinical associations and characteristics of MetS in different PSD, concluding by reviewing the existing recommendations and challenges in screening, monitoring, and managing MetS in PSD.ConclusionEarly identification and management of MetS are crucial to mitigate the long-term cardio-metabolic toll in PSD patients. Interventions should focus on healthy lifestyle and appropriate pharmacological and behavioral interventions. Further translational and clinical research is needed to develop targeted interventions and personalized treatment approaches for this vulnerable population, aiming at improving physical health and overall well-being.

Background: Psychotic disorders are major psychiatric disorders that can impact multiple domains including physical, social, and psychological functioning within individuals with these conditions. Being able to better predict the outcomes of psychotic disorders will allow clinicians to identify illness subgroups and optimize treatment strategies in a timely manner. Objective: In this scoping review, we aimed to examine the accuracy of the use of artificial intelligence (AI) methods in predicting the clinical outcomes of patients with psychotic disorders as well as determine the relevant predictors of these outcomes. Methods: This review was guided by the PRISMA Guidelines for Scoping Reviews. Seven electronic databases were searched for relevant published articles in English until 1 February 2024. Results: Thirty articles were included in this review. These studies were mainly conducted in the West (63%) and Asia (37%) and published within the last 5 years (83.3%). The clinical outcomes included symptomatic improvements, illness course, and social functioning. The machine learning models utilized data from various sources including clinical, cognitive, and biological variables such as genetic, neuroimaging measures. In terms of main machine learning models used, the most common approaches were support vector machine, random forest, logistic regression, and linear regression models. No specific machine learning approach outperformed the other approaches consistently across the studies, and an overall range of predictive accuracy was observed with an AUC from 0.58 to 0.95. Specific predictors of clinical outcomes included demographic characteristics (gender, socioeconomic status, accommodation, education, and employment); social factors (activity level and interpersonal relationships); illness features (number of relapses, duration of relapses, hospitalization rates, cognitive impairments, and negative and disorganization symptoms); treatment (prescription of first-generation antipsychotics, high antipsychotic doses, clozapine, use of electroconvulsive therapy, and presence of metabolic syndrome); and structural and functional neuroimaging abnormalities, especially involving the temporal and frontal brain regions. Conclusions: The current review highlights the potential and need to further refine AI and machine learning models in parsing out the complex interplay of specific variables that contribute to the clinical outcome prediction of psychotic disorders.

To estimate 30-year CVD risk and modifiable risk factors in young adults with serious mental illness (SMI) versus those without, and assess variations in CVD risk by race, ethnicity, and sex. In this cross-sectional study, we estimated and compared the Framingham 30-year CVD risk score and individual modifiable CVD risk factors in young adult (20–39 years) primary care patients with and without SMI at two US healthcare systems (January 2016-Septemeber 2018). Interaction terms assessed whether the SMI-risk association differed across demographic groups. Covariate-adjusted 30-year CVD risk was significantly higher for those with (n = 4228) versus those without (n = 155,363) SMI (RR 1.28, 95% CI [1.26, 1.30]). Patients with SMI had higher rates of hypertension (OR 2.02 [1.7, 2.39]), diabetes (OR 3.14 [2.59, 3.82]), obesity (OR 1.93 [1.8, 2.07]), and smoking (OR 4.94 [4.6, 5.36]). The increased 30-year CVD risk associated with SMI varied significantly by race and sex: there was an 8% higher risk in Black compared to White patients (RR 1.08, [1.04, 1.12]) and a 9% lower risk in men compared to women (RR 0.91 [0.88, 0.94]). Young adults with SMI are at increased 30-year risk of CVD, and further disparities exist for Black individuals and women. • Young adults with serious mental illness (SMI) are at elevated 30-year risk of cardiovascular disease (CVD). • Young adults with SMI are almost 2x as likely to have obesity and 5x five times as likely to be smokers compared to those without SMI. • These disparities in 30-year CVD risk for young adults with SMI are even more pronounced in Black individuals and women. • CVD risk factors must be addressed as early as possible for young adults with SMI to reduce later morbidity and mortality. [ABSTRACT FROM AUTHOR]

Patients with schizophrenia spectrum disorder (SSD) experience disrupted temporality on the immediate timescale. However, insufficient information is available for longer time frames, and the interaction of temporal perspectives with the clinical manifestations of SSD is unknown. We explored the association between unbalanced time perspectives and symptom severity. Thirty-seven Italian mental health services participating in the DiAPAson project recruited 620 patients with DSM-5 SSD (68 % males, mean age = 41.3 ± 9.5 years). Time perspective biases were measured using the Deviation from the Balanced Time Perspective-revisited (DBTP-r) indicator, based on Zimbardo Time Perspective Inventory (ZTPI) scores. Psychiatric symptoms were assessed using the Brief Psychiatric Rating Scale (BPRS) and Brief Negative Symptoms Scale (BNSS). Preliminary analyses examined the associations between ZTPI/DBTP-r and BPRS/BNSS total scores. In secondary analyses, we first tested the associations between the ZTPI/DBTP-r and BPRS/BNSS subscales and then compared ZTPI differences between patients with and without hallucinations, delusions, and conceptual disorganisation. Statistical significance was set at Holm-Bonferroni corrected p < 0.05. Low-to-moderate positive correlations were found between the DBTP-r and BPRS/BNSS total scores (r = 0.29/0.22). The strongest associations were between DBTP-r/ZTPI_Past-Negative and anxiety/depression (r = 0.34/0.36), followed by DBTP-r/ZTPI_Present-Fatalistic with thought disturbances (r = 0.22/0.20). DBTP-r was associated with BNSS anhedonia and avolition (r = 0.21/0.24). DBTP-r was higher in patients with hallucinations (ES = 0.391) and conceptual disorganisation (ES = 0.397) than in those without these symptoms. Unbalanced time perspective was positively associated with the severity of primary and secondary SSD features. These findings provide a rationale for empirical tests focused on balancing time perspectives in patients with SSD. [ABSTRACT FROM AUTHOR]

The association between peripheral blood extracellular vesicles (EVs)–derived miRNAs (EVs-miRNAs) and neuropsychiatric diseases has been extensively studied. However, it remains largely unclear about the expression profile of EVs-miRNAs in schizoaffective disorder (SAD) patients. In our study, we isolated the EVs from plasma samples of patients and healthy controls, and then analyzed the expression profiles of EVs-miRNAs through small RNA sequencing. Our results identified 32 differentially expressed (DE) miRNAs (25 upregulated and 7 downregulated) in SAD patients. A module containing 42 miRNAs closely related to SAD was identified by weighted gene co-expression network analysis (WGCNA), among which has-miR-15b-5p, has-miR-301a-3p, has-miR-342-3p, has-miR-219b-5p, and has-miR-145-5p were identified as hub miRNAs. The enrichment analysis showed that the target genes of these 42 miRNAs were significantly enriched in multiple pathways related to neuropathology and located at synapses. A total of 6 DE miRNAs (has-miR-7-5p, has-miR-144-3p, has-miR-155-5p, has-miR-342-3p, has-miR-342-5p, and has-miR-487b-3p) associated with SAD were selected for qRT-PCR verification. The level of has-miR-342-3p in SAD patients was downregulated, and hsa-miR-155-5p was upregulated. Our findings support the hypothesis that dysregulation of EVs-miRNAs in plasma might be involved in the underlying neuropathology of SAD through several biological pathways and provide important preliminary evidence supporting the use of EVs-miRNAs as potential novel biomarkers in SAD. [ABSTRACT FROM AUTHOR]

This study sought to compare pre-intervention patient characteristics and post-intervention outcomes in a naturalistic sample of adolescent inpatients with treatment-resistant psychotic symptoms who received either electroconvulsive therapy (ECT) or clozapine. Data of adolescents with schizophrenia/schizoaffective disorder receiving ECT or clozapine were retrospectively collected from two tertiary-care psychiatry-teaching university hospitals. Subscale scores of the Positive and Negative Symptom Scale (PANSS) factors were calculated according to the five-factor solution. Baseline demographics, illness characteristics, and post-intervention outcomes were compared. There was no significant difference between patients receiving ECT (n = 13) and clozapine (n = 66) in terms of age, sex, and the duration of hospital stay. The ECT group more commonly had higher overall illness and aggression severity. Smoking was less frequent in the clozapine group. Baseline resistance/excitement symptom severity was significantly higher in the ECT group, while positive, negative, affect, disorganisation, and total symptom scores were not. Both interventions provided a significant reduction in PANSS scores with large effect sizes. Both ECT and clozapine yielded high effectiveness rates in adolescents with treatment-resistant schizophrenia/schizoaffective disorder. Youth receiving ECT were generally more activated than those who received clozapine. [ABSTRACT FROM AUTHOR]

BACKGROUND: People with psychotic disorders are at an increased risk of suicide, but there is little understanding of suicidal ideation (SI) in this population. The Interpersonal Psychological Theory of Suicide posits that perceived burdensomeness (PB) and thwarted belonginess (TB) contribute to SI. To our knowledge there are no studies using ecological momentary assessment (EMA) to assess these interpersonal risk factors in a sample of individuals with psychotic disorders. This study investigated the validity and variability of PB and TB, and whether SI, EMA-measured psychotic symptoms, mood, and social context relate to PB and TB. METHOD: Ninety-six participants with a psychotic disorder, including mood disorders with psychosis completed in-lab assessments of current SI, and then EMA surveys on a smartphone 3×/day for 10 days, answering questions about burdensomeness, belongingness, symptoms (i.e., hearing voices, experiencing suspiciousness), mood (i.e., happy, sad), and social context. RESULTS: Burdensomeness varied within-participants less than belongingness (t (95) = -3.74, p=< .001). Participants with SI had higher mean burdensomeness ratings (t (94) = -2.70, p < .01) and lower mean belongingness ratings (t (94) = 3.68, p < .001) than did participants without SI. Being with others, greater psychotic experiences, less happiness, and greater sadness related to greater burdensomeness. SI status, being alone, greater psychotic experiences, less happiness, and greater sadness related to less belongingness. CONCLUSIONS: This study examined the real-time influences of SI and psychotic symptoms on burdensomeness and belongingness. Hearing voices, suspiciousness, mood, and SI are related to interpersonal suicide-related risk factors. In this sample, social context had a differential effect on burdensomeness and belongingness.