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Translational Psychiatry Jun 2024There is a lack of knowledge regarding the relationship between proneness to dimensional psychopathological syndromes and the underlying pathogenesis across major...
There is a lack of knowledge regarding the relationship between proneness to dimensional psychopathological syndromes and the underlying pathogenesis across major psychiatric disorders, i.e., Major Depressive Disorder (MDD), Bipolar Disorder (BD), Schizoaffective Disorder (SZA), and Schizophrenia (SZ). Lifetime psychopathology was assessed using the OPerational CRITeria (OPCRIT) system in 1,038 patients meeting DSM-IV-TR criteria for MDD, BD, SZ, or SZA. The cohort was split into two samples for exploratory and confirmatory factor analyses. All patients were scanned with 3-T MRI, and data was analyzed with the CAT-12 toolbox in SPM12. Psychopathological factor scores were correlated with gray matter volume (GMV) and cortical thickness (CT). Finally, factor scores were used for exploratory genetic analyses including genome-wide association studies (GWAS) and polygenic risk score (PRS) association analyses. Three factors (paranoid-hallucinatory syndrome, PHS; mania, MA; depression, DEP) were identified and cross-validated. PHS was negatively correlated with four GMV clusters comprising parts of the hippocampus, amygdala, angular, middle occipital, and middle frontal gyri. PHS was also negatively associated with the bilateral superior temporal, left parietal operculum, and right angular gyrus CT. No significant brain correlates were observed for the two other psychopathological factors. We identified genome-wide significant associations for MA and DEP. PRS for MDD and SZ showed a positive effect on PHS, while PRS for BD showed a positive effect on all three factors. This study investigated the relationship of lifetime psychopathological factors and brain morphometric and genetic markers. Results highlight the need for dimensional approaches, overcoming the limitations of the current psychiatric nosology.
Topics: Humans; Male; Female; Adult; Magnetic Resonance Imaging; Bipolar Disorder; Depressive Disorder, Major; Schizophrenia; Psychotic Disorders; Gray Matter; Middle Aged; Genome-Wide Association Study; Factor Analysis, Statistical; Brain; Psychopathology; Multifactorial Inheritance; Cerebral Cortex
PubMed: 38830892
DOI: 10.1038/s41398-024-02936-6 -
Alpha Psychiatry Jan 2024Schizophrenia patients often have personality disorders; schizophrenia patients with personality disorders are more difficult to treat and have a worse prognosis. Early...
OBJECTIVE
Schizophrenia patients often have personality disorders; schizophrenia patients with personality disorders are more difficult to treat and have a worse prognosis. Early identification of this group of patients and early intervention can achieve better prognosis. Therefore, it is very important to explore effective biomarkers and early diagnosis for the prognosis of schizophrenia. The primary purpose of this paper is to explore the relationship between plasma miRNA expression level and personality disorder with schizophrenia.
METHODS
Gene microarrays in miRNA files were employed, and the plasma of peripheral blood of 82 schizophrenic patients and 43 healthy control subjects were examined. Real-time reverse transcription polymerase chain reaction detection were performed to explore the results. Spearman correlation analysis was used to analyze the correlation between expression level of miRNAs and Personality Diagnosis Questionnaire-4 score.
RESULTS
The results showed that miR-1273d, miR-1303, miR-3064-5p, miR-3131, miR-3687, miR-4428, miR-4725-3p, and miR-5096 were up-regulated in schizophrenic patients. Compared to healthy control subjects, the difference was statistically significant ( < .05). Schizophrenic patients with schizoid, paranoid, schizotypal, and obsessive compulsive traits had negative correlation with miR-1303, miR-3131, miR-4428, and miR-5096 expression level ( = -0.40 to -0.62, < .05); there were no significant differences in the other miRNAs. Correlation with other personality traits was not significant ( > .05). The stepwise regression analysis indicated that miR-5096, miR-3131, and miR-1273d have a significant predictive effect on the schizoid trait ( < .01). MiR-4428 and miR-1303 had a significant predictive effect on the schizotypal trait ( < .01). MiR-5096, miR-4428, and miR-4725-3P had a significant predictive effect on the paranoid trait ( < .05). MiR-4428, miR-1303, and miR-5096 had a significant predictive effect on the obsessive compulsive trait ( < .05).
CONCLUSION
The expression levels of miR-1273d, miR-1303, miR-3064-5p, miR-3131, miR-3687, miR-4428, miR-4725-3p, and miR-5096 were up-regulated in the peripheral blood of patients with schizophrenia, and these miRNAs are expected to be diagnostic biomarkers for accurate diagnosis of schizophrenia. The expression levels of miR-1303, miR-3131, miR-1273d, miR-4428, miR-4725-3p, and miR-5096 have significant predictive effects on personality disorder in schizophrenia.
PubMed: 38799488
DOI: 10.5152/alphapsychiatry.2024.231216 -
BMJ Open Sep 2023Cognitive behavioural therapy for psychosis (CBTp) has demonstrated effectiveness in reducing positive symptoms, improving depression, enhancing coping skills and...
INTRODUCTION
Cognitive behavioural therapy for psychosis (CBTp) has demonstrated effectiveness in reducing positive symptoms, improving depression, enhancing coping skills and increasing awareness of illness. However, compared with cognitive behavioural therapy for depression and anxiety, the spread of CBTp in clinical practice is minimal. The present study designed a randomised controlled trial (RCT) research protocol to evaluate whether real-time remote video-conference CBTp (vCBTp) could facilitate access to psychosocial interventions and effectively improve symptoms compared with usual care (UC) for patients with schizophrenia.
METHODS AND ANALYSIS
This exploratory RCT will consist of two parallel groups (vCBTp+UC and UC alone) of 12 participants (n=24) diagnosed with schizophrenia, schizoaffective disorder or paranoid disorder, who remain symptomatic following pharmacotherapy. Seven 50-min weekly vCBTp interventions will be administered to test efficacy. The primary outcome will be the positive and negative syndrome scale score at week 8. The secondary outcome will be the Beck Cognitive Insight Scale to assess insight, the Patient Health Questionnaire-9 to assess depression, the Generalised Anxiety Disorder-7 to assess anxiety, the 5-level EuroQol 5-dimensional questionnaire to assess quality of life and the Impact of Event Scale-Revised to assess subjective distress about a specific stressful life event. We will take all measurements at 0 weeks (baseline) and at 8 weeks (post-intervention), and apply intention-to-treat analysis.
ETHICS AND DISSEMINATION
We will conduct this study in the outpatient department of Cognitive Behavioral Therapy Center at Chiba University Hospital. Further, all participants will be informed of the study and will be asked to sign consent forms. We will report according to the Consolidated Standards of Reporting Trials.
TRIAL REGISTRATION NUMBER
UMIN000043396.
Topics: Humans; Schizophrenia; Outpatients; Psychotic Disorders; Anxiety; Cognitive Behavioral Therapy; Randomized Controlled Trials as Topic
PubMed: 37696635
DOI: 10.1136/bmjopen-2022-069734 -
BMC Medical Research Methodology Jul 2023Care pathways are increasingly being used to enhance the quality of care and optimize the use of resources for health care. Nevertheless, recommendations regarding the...
BACKGROUND
Care pathways are increasingly being used to enhance the quality of care and optimize the use of resources for health care. Nevertheless, recommendations regarding the sequence of care are mostly based on consensus-based decisions as there is a lack of evidence on effective treatment sequences. In a real-world setting, classical statistical tools were insufficient to consider a phenomenon with such high variability adequately and have to be integrated with novel data mining techniques suitable for identifying patterns in complex data structures. Data-driven techniques can potentially support empirically identifying effective care sequences by extracting them from data collected routinely. The purpose of this study is to perform a state sequence analysis (SSA) to identify different patterns of treatment and to asses whether sequence analysis may be a useful tool for profiling patients according to the treatment pattern.
METHODS
The clinical application that motivated the study of this method concerns the mental health field. In fact, the care pathways of patients affected by severe mental disorders often do not correspond to the standards required by the guidelines in this field. In particular, we analyzed patients with schizophrenic disorders (i.e., schizophrenia, schizotypal or delusional disorders) using administrative data from 2015 to 2018 from Lombardy Region. This methodology considers the patient's therapeutic path as a conceptual unit, composed of a succession of different states, and we show how SSA can be used to describe longitudinal patient status.
RESULTS
We define the states to be the weekly coverage of different treatments (psychiatric visits, psychosocial interventions, and anti-psychotic drugs), and we use the longest common subsequences (dis)similarity measure to compare and cluster the sequences. We obtained three different clusters with very different patterns of treatments.
CONCLUSIONS
This kind of information, such as common patterns of care that allowed us to risk profile patients, can provide health policymakers an opportunity to plan optimum and individualized patient care by allocating appropriate resources, analyzing trends in the health status of a population, and finding the risk factors that can be leveraged to prevent the decline of mental health status at the population level.
Topics: Humans; Critical Pathways; Schizophrenia; Consensus; Data Mining; Health Status
PubMed: 37516839
DOI: 10.1186/s12874-023-01993-7 -
Schizophrenia Bulletin Sep 2023While the evolution of our modern concepts of mania and melancholia over the 19th century is relatively well-understood, no such clear narrative exists for the...
While the evolution of our modern concepts of mania and melancholia over the 19th century is relatively well-understood, no such clear narrative exists for the nonaffective psychotic syndromes that culminated in Kraepelin's concept of dementia praecox in 1899. These narratives were relatively distinct in Germany and France. An important milestone in the French literature is the 1852 essay by the alienist and polymath Charles Lasègue which contained the first detailed modern description of a persecutory delusional syndrome. Lasègue was a careful clinical observer who emphasized a symptomatic approach to psychiatric nosology and was less concerned with course and outcome. He details the evolution of persecutory delusions from increasing referential observations of real events, to the resulting anxious confusion and then the emergence of explanatory delusional beliefs. Once formed, these beliefs, he notes, are relatively impervious to correction. Lasègue was unusual for his time in emphasizing a "first-person perspective" on psychotic experiences, and quotes from his patients in his case history, of which he presents 15. Of these, 12 had auditory hallucinations and 4 passivity phenomena. While conceptualized differently than mid-19th century pre-Kraepelinian German writing on delusional syndromes, and unique on its focus on persecutory delusions, Lasègue's important essay shared a common view on the key features of a broad nonaffective delusional-hallucinatory syndrome. It was this syndrome that Kraepelin, over multiple drafts in the first 6 editions of his textbook from 1883 to 1899, was to divide into his mature concepts of paranoia and the paranoid subtype of dementia praecox.
Topics: Humans; History, 19th Century; Delusions; Syndrome; Psychiatry; Paranoid Disorders; Hallucinations; Schizophrenia
PubMed: 37318157
DOI: 10.1093/schbul/sbad086 -
Frontiers in Psychiatry 2023New subgroups of psychiatric disorders are often claimed. In contrast, classification systems have repeatedly had to abandon established subgroups such as paranoid vs....
New subgroups of psychiatric disorders are often claimed. In contrast, classification systems have repeatedly had to abandon established subgroups such as paranoid vs. disorganised and catatonic schizophrenia due to lack of empirical evidence. Four criteria are proposed that should be met to claim valid subgroups: 1. distinct distribution of the defining characteristic between groups; 2. significant differences in variables other than those defining the subgroups cross-sectionally and longitudinally; 3. long-term stability; 4. significant differences between groups in aetiology, pathophysiology, and evidence-based therapy. In contrast to examples from somatic medicine, such as type 1 and type 2 diabetes, few psychiatric disorders meet these requirements.
PubMed: 38260787
DOI: 10.3389/fpsyt.2023.1292917 -
Translational Psychiatry Mar 2024Automatically extracted measures of speech constitute a promising marker of psychosis as disorganized speech is associated with psychotic symptoms and predictive of...
Towards a scalable approach to assess speech organization across the psychosis-spectrum -online assessment in conjunction with automated transcription and extraction of speech measures.
Automatically extracted measures of speech constitute a promising marker of psychosis as disorganized speech is associated with psychotic symptoms and predictive of psychosis-onset. The potential of speech markers is, however, hampered by (i) lengthy assessments in laboratory settings and (ii) manual transcriptions. We investigated whether a short, scalable data collection (online) and processing (automated transcription) procedure would provide data of sufficient quality to extract previously validated speech measures. To evaluate the fit of our approach for purpose, we assessed speech in relation to psychotic-like experiences in the general population. Participants completed an 8-minute-long speech task online. Sample 1 included measures of psychometric schizotypy and delusional ideation (N = 446). Sample 2 included a low and high psychometric schizotypy group (N = 144). Recordings were transcribed both automatically and manually, and connectivity, semantic, and syntactic speech measures were extracted for both types of transcripts. 73%/86% participants in sample 1/2 completed the experiment. Nineteen out of 25 speech measures were strongly (r > 0.7) and significantly correlated between automated and manual transcripts in both samples. Amongst the 14 connectivity measures, 11 showed a significant relationship with delusional ideation. For the semantic and syntactic measures, On Topic score and the Frequency of personal pronouns were negatively correlated with both schizotypy and delusional ideation. Combined with demographic information, the speech markers could explain 11-14% of the variation of delusional ideation and schizotypy in Sample 1 and could discriminate between high-low schizotypy with high accuracy (0.72-0.70, AUC = 0.78-0.79) in Sample 2. The moderate to high retention rate, strong correlation of speech measures across manual and automated transcripts and sensitivity to psychotic-like experiences provides initial evidence that online collected speech in combination with automatic transcription is a feasible approach to increase accessibility and scalability of speech-based assessment of psychosis.
Topics: Humans; Speech; Psychotic Disorders; Schizotypal Personality Disorder
PubMed: 38509087
DOI: 10.1038/s41398-024-02851-w -
Cureus Sep 2023This case report provides a vivid illustration of a schizophrenic case in a 59-year-old man with auditory hallucinations, illuminating the nature of his symptoms....
This case report provides a vivid illustration of a schizophrenic case in a 59-year-old man with auditory hallucinations, illuminating the nature of his symptoms. Auditory hallucinations were prominent, and the patient received voices urging him to perform actions that clearly corresponded to his paranoid thoughts. Through comprehensive research and long-term follow-up, this report reveals the complexity of traumatic schizophrenia, highlighting the importance of early recognition and intervention. One must emphasize a multidisciplinary approach, including psychiatric assessment, pharmacotherapy, and psychotherapy. This case report aims to highlight the critical role of comprehensive individual care in improving the patient's condition and emphasizes the importance of compassionate healthcare practices.
PubMed: 37900418
DOI: 10.7759/cureus.46092 -
Iranian Journal of Psychiatry Feb 2024Psychosis is one of the most vital disorders in children and youths. The definite pathophysiology of schizophrenia and other psychotic disorders in the growth period...
Psychosis is one of the most vital disorders in children and youths. The definite pathophysiology of schizophrenia and other psychotic disorders in the growth period has remained ambiguous. Therefore, the purpose of the current study was to investigate the predictive value of parental psychiatric disorders and the mediator role of comorbid disorders of children and youths. The sample, consisting of 29884 individuals aged between 6 to 18 years old from the Iranian population, were selected by multistage cluster sampling during September 22, 2016 to January 3, 2018. Parents were requested to complete a survey around their potential psychiatric disorders, based on their Millon's Clinical Multiaxial Inventory-III (MCMI-III). The Semi-Structured Interview (Kiddie-SADS-Present, Lifetime Form (K-SADS-PL)) was utilized to analyze psychiatric disorders concurring to the DSM. The fit indices of the model show that the research model has a good fit and the psychiatric disorders of parents directly and indirectly through comorbid disorders are effective on the psychosis symptoms of children and adolescents (RMSEA=0.06, CFI=0.89, PGFI=0.75, PNFI=0.75).The incidence of Schizotypal Personality Disorder, Anxiety, Bipolar Spectrum Disorder, PTSD, Schizophrenia Spectrum and Delusional Disorder were statistically higher in parents of psychotic children and adolescents. However, Borderline Personality Disorder was more frequent among their mothers while Alcohol Dependency and Drug Dependency were significantly more prevalent among their fathers. The outcomes of our study showed that there were statistically significant differences between the mean scores of each scale assessed by Millon's inventory between parents of psychotic versus non-psychotic pediatric cases. In addition, psychiatric disorders were more common among children and youths with psychosis spectrum in comparison with the general population.
PubMed: 38686308
DOI: 10.18502/ijps.v19i2.15109 -
Annals of General Psychiatry Jan 2024Weight gain in the months/years after diagnosis/treatment of severe enduring mental illness (SMI) is a major predictor of future diabetes, dysmetabolic profile and...
INTRODUCTION
Weight gain in the months/years after diagnosis/treatment of severe enduring mental illness (SMI) is a major predictor of future diabetes, dysmetabolic profile and increased risk of cardiometabolic diseases. There is limited data on the longer-term profile of weight change in people with a history of SMI and how this may differ between individuals. We here report a retrospective study on weight change over the 5 years following an SMI diagnosis in Greater Manchester UK, an ethnically and culturally diverse community, with particular focus on comparing non-affective psychosis (NAP) vs affective psychosis (AP) diagnoses.
METHODS
We undertook an anonymised search in the Greater Manchester Care Record (GMCR). We reviewed the health records of anyone who had been diagnosed for the first time with first episode psychosis, schizophrenia, schizoaffective disorder, delusional disorder (non-affective psychosis = NAP) or affective psychosis (AP). We analysed body mass index (BMI) change in the 5-year period following the first prescription of antipsychotic medication. All individuals had taken an antipsychotic agent for at least 3 months. The 5-year follow-up point was anywhere between 2003 and 2023.
RESULTS
We identified 9125 people with the diagnoses above. NAP (n = 5618; 37.3% female) mean age 49.9 years; AP (n = 4131; 60.5% female) mean age 48.7 years. 27.0% of NAP were of non-White ethnicity vs 17.8% of AP individuals. A higher proportion of people diagnosed with NAP were in the highest quintile of social disadvantage 52.4% vs 39.5% for AP. There were no significant differences in baseline BMI profile. In a subsample with HbA1c data (n = 2103), mean HbA1c was higher in NAP at baseline (40.4 mmol/mol in NAP vs 36.7 mmol/mol for AP). At 5-year follow-up, there was similarity in both the overall % of individuals in the obese ≥ 30 kg/m category (39.8% NAP vs 39.7% AP), and % progressing from a normal healthy BMI transitioned to obese/overweight BMI (53.6% of NAP vs 55.6% with AP). 43.7% of those NAP with normal BMI remained at a healthy BMI vs 42.7% with AP. At 5-year follow-up for NAP, 83.1% of those with BMI ≥ 30 kg/m stayed in this category vs 81.5% of AP.
CONCLUSION
The results of this real-world longitudinal cohort study suggest that the changes in BMI with treatment of non-affective psychosis vs bipolar disorder are not significantly different, while 43% maintain a healthy weight in the first 5 years following antipsychotic prescription.
PubMed: 38172807
DOI: 10.1186/s12991-023-00485-8