Schizophrenia Spectrum and Other Psychotic Disorders

2014 ◽  
Author(s):  
T. Stroup ◽  
Ryan Lawrence ◽  
Atheir Abbas ◽  
Bradley Miller ◽  
Diana Perkins ◽  
...  
Keyword(s):  
Psychotic Disorders ◽  
Schizophrenia Spectrum

scholarly journals Long term outcomes of acute and transient psychotic disorders: The missed opportunity of preventive interventions

2018 ◽  
Vol 52 ◽  
pp. 126-133 ◽  
Author(s):  
Grazia Rutigliano ◽  
Sergio Merlino ◽  
Amedeo Minichino ◽  
Rashmi Patel ◽  
Cathy Davies ◽  
...  
Keyword(s):  
High Risk ◽  
Psychotic Disorders ◽  
Cumulative Risk ◽  
Acute Onset ◽  
Kaplan Meier ◽  
Schizophrenia Spectrum ◽  
National Health Service Trust ◽  
Icd 10

AbstractBackground:Acute and transient psychotic disorders (ATPD) are characterized by an acute onset and a remitting course, and overlap with subgroups of the clinical high-risk state for psychosis. The long-term course and outcomes of ATPD are not completely clear.Methods:Electronic health record-based retrospective cohort study, including all patients who received a first index diagnosis of ATPD (F23, ICD-10) within the South London and Maudsley (SLaM) National Health Service Trust, between 1 st April 2006 and 15th June 2017. The primary outcome was risk of developing persistent psychotic disorders, defined as the development of any ICD-10 diagnoses of non-organic psychotic disorders. Cumulative risk of psychosis onset was estimated through Kaplan-Meier failure functions (non-competing risks) and Greenwood confidence intervals.Results:A total of 3074 patients receiving a first index diagnosis of ATPD (F23, ICD-10) within SLaM were included. The mean follow-up was 1495 days. After 8-year, 1883 cases (61.26%) retained the index diagnosis of ATPD; the remaining developed psychosis. The cumulative incidence (Kaplan-Meier failure function) of risk of developing any ICD-10 non-organic psychotic disorder was 16.10% at 1-year (95%CI 14.83–17.47%), 28.41% at 2-year (95%CI 26.80–30.09%), 33.96% at 3-year (95% CI 32.25–35.75%), 36.85% at 4-year (95%CI 35.07–38.69%), 40.99% at 5-year (95% CI 39.12–42.92%), 42.58% at 6-year (95%CI 40.67–44.55%), 44.65% at 7-year (95% CI 42.66–46.69%), and 46.25% at 8-year (95% CI 44.17–48.37%). The cumulative risk of schizophrenia-spectrum disorder at 8-year was 36.14% (95% CI 34.09–38.27%).Conclusions:Individuals with ATPD have a very high risk of developing persistent psychotic disorders and may benefit from early detection and preventive treatments to improve their outcomes.

Overview of Schizophrenia and Other Psychotic Disorders

2020 ◽  
Author(s):  
James A. Wilcox ◽  
Donald W. Black
Keyword(s):  
Psychotic Disorder ◽  
Schizoaffective Disorder ◽  
Psychotic Disorders ◽  
Public Health Problem ◽  
Premature Death ◽  
Major Public Health Problem ◽  
Schizophreniform Disorder ◽  
Schizophrenia Spectrum ◽  
Brief Psychotic Disorder ◽  
The Individual

Psychotic disorders are among the most disabling conditions and constitute a major public health problem. Described throughout recorded time, they affect as many as 5% of the population and cause a disproportionate amount of suffering and loss to society. In the chapter on schizophrenia spectrum and other psychotic disorders, the DSM-5 lists delusional disorder, brief psychotic disorder, schizophreniform disorder, schizophrenia, and schizoaffective disorder, as well as categories for substance- or medically induced psychotic disorders. The term psychosis indicates that the individual has a severe inability to interpret the surrounding environment in a realistic way. Symptoms include hallucinations, delusions, and bizarre behavior. Psychotic disorders are associated with premature death, mostly attributable to suicide. The pathophysiology and etiology of psychotic disorders are only now beginning to be understood, and treatment for these conditions remains suboptimal. Researchers are currently refining the cause of these symptoms and developing more effective treatments.   This review contains 3 tables, and 34 references. Key words: Brief psychotic disorder, delusions, hallucinations, psychosis, schizoaffective disorder, schizophrenia, schizophreniform disorder

Mental illness as a predictor of patient attendance and anthropometric changes: observations from an Australian publicly funded obesity management service

2020 ◽  
pp. 103985622095371
Author(s):  
Louise Brightman ◽  
Alexandra Dunne ◽  
Hsin-Chia Carol Huang
Keyword(s):  
Mental Illness ◽  
Weight Loss ◽  
Depressive Disorders ◽  
Psychotic Disorders ◽  
Management Service ◽  
Obesity Management ◽  
Significant Weight Loss ◽  
Retrospective Audit ◽  
Schizophrenia Spectrum ◽  
Clinically Significant

Objective: Obesity is associated with co-morbid mental illness. The Canberra Obesity Management Service (OMS) supports adults with severe obesity who have the psychosocial capacity to engage. This study will determine whether mental illness is a predictor of OMS attendance and anthropometric changes. Method: A retrospective audit was performed from July 2016 to June 2017. Baseline characteristics, attendance and anthropometrics were stratified according to the presence of mental illness. Outcomes included weight stabilisation and clinically significant weight loss. Descriptive analyses were performed. Results: Mental illness was present in 60/162 patients (37%). Attendance was similar for those with and without mental illness. Patients with mental illness had twice as many co-morbidities ( p = .001). Depressive disorders were most common ( n = 28, 47%). Anxiety, schizophrenia spectrum and other psychotic disorders, and trauma- and stressor-related disorders also featured. Weight stabilisation was achieved by 25 patients (66%) with mental illness and 25 (35%) without. Clinically significant weight loss was observed in 10 patients (26%) with and 26 (40%) without mental illness. Conclusion: The presence of mental illness did not impact OMS attendance or weight stabilisation. The higher rate of co-morbidities in those with mental illness highlights the challenges faced by this vulnerable population.

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