On the descriptive validity of ICD-10 schizophrenia: Empirical analyses in the spectrum of non-affective functional psychoses

In order to examine the descriptive validity of ICD-10 schizophrenia, 1,476 consecutively admitted in-patients were included in the present study. ICD-10 schizophrenia (n = 951) was compared with other non-affective psychotic disorders {[}persistent delusional disorders (n = 51), acute and transient psychotic disorders (n = 116) and schizoaffective disorders (n = 354)] with respect to socio-demographic, symptomatological and other clinical parameters. Analyses revealed that it is possible to distinguish schizophrenia from other non-affective psychotic disorders according to ICD-10 criteria: schizophrenic patients were characterised by more pronounced negative symptoms and a lower global functioning. They were younger than patients with persistent delusional disorders and schizoaffective disorders but older than patients with acute and transient psychotic disorders. The results are in line with a high descriptive validity of ICD-10 schizophrenia and highlight the importance of negative symptoms for this diagnosis. Copyright (C) 2003 S. Karger AG, Basel

Cancer incidence and stage at diagnosis among people with psychotic disorders: Systematic review and meta-analysis.

Research regarding the incidence of cancer among people with psychotic disorders relative to the general population is equivocal, although the evidence suggests that they have more advanced stage cancer at diagnosis. We conducted a systematic review and meta-analysis to examine the incidence and stage at diagnosis of cancer among people with, relative to those without, psychotic disorders. We searched the MEDLINE, EMBASE, PsycINFO, and CINAHL databases. Articles were included if they reported the incidence and/or stage at diagnosis of cancer in people with psychotic disorders. Random effects meta-analyses were used to determine risk of cancer and odds of advanced stage cancer at diagnosis in people with psychosis, relative to those without psychotic disorders. A total of 40 articles were included in the review, of which, 31 were included in the meta-analyses. The pooled age-adjusted risk ratio for all cancers in people with psychotic disorders was 1.08 (95% CI: 1.01-1.15), relative to those without psychotic disorders, with significant heterogeneity by cancer site. People with psychotic disorders had a higher incidence of breast, oesophageal, colorectal, testicular, uterine, and cervical cancer, and a lower incidence of skin, prostate, and thyroid cancer. People with psychotic disorders also had 22% higher (95% CI: 2-46%) odds of metastases at diagnosis, compared to those without psychotic disorders. Our systematic review found a significant difference in overall cancer incidence among people diagnosed with psychotic disorders and people with psychotic disorders were more likely to present with advanced stage cancer at diagnosis. This finding may reflect a need for improved access to and uptake of cancer screening for patients diagnosed with psychotic disorders

Psychosis in Children: What is our present state of knowledge

Psychotic disorders are severe devastating illnesses that can seriously compromise the quality of life of many patients. Special considerations are needed for special patient populations such as, children and adolescents, as the developmental stage may greatly influence the clinical presentation and outcome. The vast bulk of research on psychosis has excluded children with psychotic disorders. The existence of childhood psychoses was discussed and denied for many years especially due to distinct definitions and different classifications that kept changing over time. Today, childhood psychosis is a well known entity (Tengan & Maia, 2004)

Cancer incidence and stage at diagnosis among people with recent-onset psychotic disorders: A retrospective cohort study using health administrative data from Ontario, Canada.

OBJECTIVE: Prior evidence on the relative risk of cancer among people with psychotic disorders is equivocal. The objective of this study was to compare incidence and stage at diagnosis of cancer for people with psychotic disorders relative to the general population. METHOD: We constructed a retrospective cohort of people with a first diagnosis of non-affective psychotic disorder and a comparison group from the general population using linked health administrative databases in Ontario, Canada. The cohort was followed for incident diagnoses of cancer over a 25-year period. We used Poisson and logistic regression models to compare cancer incidence and stage at diagnosis between people with psychotic disorders and the comparison group, adjusting for confounding factors. RESULTS: People with psychotic disorders had an 8.6% higher incidence (IRR = 1.09, 95%CI = 1.05,1.12) of cancer overall relative to the comparison group, with effect modification by sex and substantial variation across cancer sites. People with psychotic disorders also had 23% greater odds (OR = 1.23, 95%CI = 1.13,1.34) of being diagnosed with more advanced stage cancer relative to the comparison group. CONCLUSIONS: We found evidence of elevated cancer incidence in people with non-affective psychotic disorders relative to the general population. The higher odds of more advanced stage cancer diagnoses in people with psychotic disorders represents an opportunity to improve patient participation in recommended cancer screening, as well as timely access to services for cancer diagnosis and treatment. Future research should examine confounding effects of lifestyle factors and antipsychotic medications on the risk of developing cancer among people with psychotic disorders

Examining the structure of ideas of reference in clinical and community samples

Aims: This study addresses the psychometric properties of a Spanish validation of the REF scale of ideas of reference (IRs) in detecting and following at-risk mental states and psychosis. Methods: A total of 9447 participants were distributed in three groups: 676 patients with various diagnoses-154 with psychotic disorders, 6291 youths aged 11 to 20, and 2480 adult participants aged 21 to 84. Results: Youths had higher scores than adults on IRs, observing a progressive decrease and stabilization in the twenties. Exploratory factor analysis provided a structure for the overall IRs score, with five first-order dimensions and one second-order dimension. Confirmatory factor analysis supported the structure with excellent fit. The REF scale was invariant across sex and samples. The internal consistency of the complete scale was excellent and acceptable across the five first-order factors. Strong relationships were found with the positive dimension of the community assessment of psychic experience-42, as well as with aberrant salience. Low and moderate relationships were found with public self-consciousness, anxiety, and depression. Youths and patients diagnosed with schizophrenia and other psychotic disorders had a high mean IRs frequency. Male sex, greater age (among the adults), and the "causal explanations", "Songs, newspapers, books" and laughing and commenting" REF subscales showed predictive power in the diagnostic categories of schizophrenia and other psychotic disorders

Affective disorders, psychosis and dementia in a community sample of older men with and without Parkinson's disease

Background: Dementia and affective and psychotic symptoms are commonly associated with Parkinson's disease, but information about their prevalence and incidence in community representative samples remains sparse. Methods: We recruited a community-representative sample 38173 older men aged 65-85 years in 1996 and used data linkage to ascertain the presence of PD, affective disorders, psychotic disorders and dementia. Diagnoses followed the International Classification of Disease coding system. Age was recorded in years. Follow up data were available until December 2011. Results: The mean age of participants was 72.5 years and 333 men (0.9%) had PD at study entry. Affective and psychotic disorders and dementia were more frequent in men with than without PD (respective odds ratios: 6.3 [95%CI = 4.7, 8.4]; 14.2 [95%CI = 8.4, 24.0] and 18.2 [95%CI = 13.4, 24.6]). Incidence rate ratios of affective and psychotic disorders were higher among men with than without PD, although ratios decreased with increasing age. The ageadjusted hazard ratio (HR) of an affective episode associated with PD was 5.0 (95%CI = 4.2, 5.9). PD was associated with an age-adjusted HR of 8.6 (95%CI = 6.1, 12.0) for psychotic disorders and 6.1 (95%CI = 5.5, 6.8) for dementia. PD and dementia increased the HR of depressive and psychotic disorders. Conclusions: PD increases the risk of affective and psychotic disorders, as well as dementia, among community dwelling older men. The risk of a recorded diagnosis of affective and psychotic disorders decreases with increasing age

Parenthood patterns used by parents of psychotic patients

Background Most of the psychotic patients have problems in their relationship with their own parents, and often parents begin the impaired relationship. This is a humanistic problem and whenever a family exists, relationship problems also exist. Although there are no systematic studies on the rate of using adverse parenthood methods, its prevalence is high in both low and high socio-cultural contexts. The consequence of using adverse parenthood methods is psychological disorders in children as well as relapses after discharge. Determining predisposing factors for psychotic disorders is significant because of prevention and treatment. Materials and methods In this study 384 patient with schizophrenia, delusional disorders, and borderline personality disorder and antisocial personally were chosen for sampling. Parents and patients were tested by a questionnaire and results shown in charts and diagrams. Results Results showed that the parenthood method used most by parents of psychotic patients is the restrictive method. Discussion Researchers conclude that if usage of the restrictive method in parenting is high, then the prevalence of psychotic disorders will be high as well. The results are in favor of a biopsychosocial model in the etiology of psychotic disorders

Increased Belief Instability in Psychotic Disorders Predicts Treatment Response to Metacognitive Training

BACKGROUND AND HYPOTHESIS: In a complex world, gathering information and adjusting our beliefs about the world is of paramount importance. The literature suggests that patients with psychotic disorders display a tendency to draw early conclusions based on limited evidence, referred to as the jumping-to-conclusions bias, but few studies have examined the computational mechanisms underlying this and related belief-updating biases. Here, we employ a computational approach to understand the relationship between jumping-to-conclusions, psychotic disorders, and delusions. STUDY DESIGN: We modeled probabilistic reasoning of 261 patients with psychotic disorders and 56 healthy controls during an information sampling task-the fish task-with the Hierarchical Gaussian Filter. Subsequently, we examined the clinical utility of this computational approach by testing whether computational parameters, obtained from fitting the model to each individual's behavior, could predict treatment response to Metacognitive Training using machine learning. STUDY RESULTS: We observed differences in probabilistic reasoning between patients with psychotic disorders and healthy controls, participants with and without jumping-to-conclusions bias, but not between patients with low and high current delusions. The computational analysis suggested that belief instability was increased in patients with psychotic disorders. Jumping-to-conclusions was associated with both increased belief instability and greater prior uncertainty. Lastly, belief instability predicted treatment response to Metacognitive Training at the individual level. CONCLUSIONS: Our results point towards increased belief instability as a key computational mechanism underlying probabilistic reasoning in psychotic disorders. We provide a proof-of-concept that this computational approach may be useful to help identify suitable treatments for individual patients with psychotic disorders

EMPIRICAL STUDY OF PSYCHOTIC DISORDER PATIENTS IN NIGERIA

A study on psychotic disorder ailment was carried out in this research paper where the target population consists of all patients that has any of the following five psychotic disorders: Menial Brain Dysfunction (MBD); Schizophrenia; Vascular Dementia; Bipolar; and Insomnia. The sample consist of five hundred (500) psychotic patients that were selected from the entire number of psychotic patients in the hospital records (files) from January, 2010 to December, 2014. They were selected based on their peculiar ailments with symptoms of psychotic disorders. The main aim of this paper is to examine the possible existence of association among these psychotic disorders. The specific objectives are to: determine the demographic factors that influence the levels of each of these psychotic disorders; propose appropriate model for each psychotic disorder; and determine the level of correct classification using each of these models. We observed that there exist strong association among these psychotic disorders except for MBD and Vascular Demetria. Nearly all the demographic factors under consideration are one way or the other influence the levels of any psychotic disorder except divorce, injury, and genetic. The percentages of correct classification using each of the models proposed ranges between 70.8% and 91.2%

fMRI biomarkers of social cognitive skills training in psychosis: Extrinsic and intrinsic functional connectivity.

Social cognitive skills training interventions for psychotic disorders have shown improvement in social cognitive performance tasks, but little was known about brain-based biomarkers linked to treatment effects. In this pilot study, we examined whether social cognitive skills training could modulate extrinsic and intrinsic functional connectivity in psychosis using functional magnetic resonance imaging (fMRI). Twenty-six chronic outpatients with psychotic disorders were recruited from either a Social Cognitive Skills Training (SCST) or an activity- and time-matched control intervention. At baseline and the end of intervention (12 weeks), participants completed two social cognitive tasks: a Facial Affect Matching task and a Mental State Attribution Task, as well as resting-state fMRI (rs-fMRI). Extrinsic functional connectivity was assessed using psychophysiological interaction (PPI) with amygdala and temporo-parietal junction as a seed region for the Facial Affect Matching Task and the Mental State Attribution task, respectively. Intrinsic functional connectivity was assessed with independent component analysis on rs-fMRI, with a focus on the default mode network (DMN). During the Facial Affect Matching task, we observed stronger PPI connectivity in the SCST group after intervention (compared to baseline), but no treatment-related change in the Control group. Neither group showed treatment-related changes in PPI connectivity during the Mental State Attribution task. During rs-fMRI, we found treatment-related changes in the DMN in the SCST group, but not in Control group. This study found that social cognitive skills training modulated both extrinsic and intrinsic functional connectivity in individuals with psychotic disorders after a 12-week intervention. These findings suggest treatment-related changes in functional connectivity as a potential brain-based biomarker of social cognitive skills training