Objective: To evaluate morbidity during long-term follow-up with clinical treatment of affective and schizoaffective disorder subjects followed from hospitalization for first major psychotic episodes.
Methods: We followed adult subjects systematically at regular intervals from hospitalization for first-lifetime episodes of major affective and schizoaffective disorders with initial psychotic features. We compiled % of days with morbidity types from detailed records and life charts, reviewed earliest antecedent morbidities, compared both with final diagnoses and initial presenting illness types, and evaluated morbidity risk factors with regression modeling.
Findings: With final diagnoses of bipolar-I (BD-I, n = 216), schizoaffective (SzAffD, 71), and major depressive (MDD, 42) disorders, 329 subjects were followed for 4.47 [CI: 4.20-4.47] years. Initial episodes were mania (41.6%), mixed states (24.3%), depression (19.5%), or apparent nonaffective psychosis (14.6%). Antecedent morbidity presented 12.7 years before first episodes (ages: SzAffD ≤ BD-I < MDD). Long-term % of days ill ranked SzAffD (83.0%), MDD (57.8%), BD-I (45.0%). Morbidity differed by diagnosis and first-episode types, and was predicted by first episodes and suggested by antecedent illnesses. Long-term wellness was greater with BD-I diagnosis, first episode not mixed or psychotic nonaffective, rapid onset, and being older at first antecedents, but not follow-up duration.
Conclusions: Initially, psychotic BD-I, SzAffD, or MDD subjects followed for 4.47 years from first hospitalization experienced much illness, especially depressive or dysthymic, despite ongoing clinical treatment. Antecedent symptoms arose years before index first episodes; antecedents and first episode types predicted types and amounts of long-term morbidity, which ranked: SzAffD > MDD > BD-I.
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http://dx.doi.org/10.1111/acps.13243 | DOI Listing |
Schizophr Bull
January 2025
Department of Psychology, University of California, Berkeley, CA 94720, United States.
Background And Hypotheses: People with schizophrenia are at risk for social exclusion, yet we know little about their responses. We hypothesized (1) people with schizophrenia would be more likely to withdraw following social exclusion compared to controls; (2) withdrawal intentions would be greater following exclusion compared to disappointment; (3) withdrawal behavior would be predicted by rejection sensitivity, alternative sources of acceptance, chronicity of exclusion, and perceived fairness; and (4) withdrawal following exclusion would be associated with more negative symptoms and poorer functioning.
Study Design: People with (n = 43) and without (n = 43) schizophrenia or schizoaffective disorder played Cyberball - Behavioral Response, a novel version of the exclusion task.
J Psychiatr Res
December 2024
Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Centre for Human Genetics, Philipps-University Marburg, Marburg, Germany. Electronic address:
Disorders across the affective disorders-psychosis spectrum such as major depressive disorder (MDD), bipolar disorder (BD), schizoaffective disorder (SCA), and schizophrenia (SCZ), have overlapping symptomatology and high comorbidity rates with other mental disorders. So far, however, it is largely unclear why some of the patients develop comorbidities. In particular, the specific genetic architecture of comorbidity and its relationship with brain structure remain poorly understood.
View Article and Find Full Text PDFConsort Psychiatr
September 2024
Background: Schizoaffective disorder (SAD) is one of the most complex and controversial diagnoses in clinical psychiatry. Despite the significant changes that have occurred in the conceptualization of SAD in modern classifications and the publications of recent years, many unresolved issues remain regarding the disease, from the point of view of clinical psychiatry and basic neuroscience.
Aim: The purpose of this paper is to summarize published data on the concept of SAD, its clinical characteristics, cognitive profile, potential biomarkers, as well as the place of the disease in the following modern international classifications: the International Classification of Diseases (ICD) 9, 10 and 11 revisions, and the Diagnostic and Statistical Manual of Mental Disorders, 5 edition (DSM-5).
Australas Psychiatry
November 2024
Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia; Department of Psychiatry, The Canberra Hospital, Garran, ACT, Australia; Academic Unit of Psychiatry and Addiction Medicine, School of Medicine and Psychology, Canberra Hospital, The Australian National University, Canberra, ACT, Australia.
Objective: To descriptively analyse Australian public sector General Mental Health Services (GMHS) expenditure, ambulatory, and inpatient services, including key performance indicators (KPIs) in comparison with other subspeciality mental health services (MHS).
Method: We descriptively analysed data published by the Australian Institute of Health and Welfare (AIHW), including inpatient, ambulatory services, expenditure, and KPIs.
Results: From 2017-18 to 2021-22, per capita expenditure for Australian GMHS (18-64) rose by an average annual inflation-adjusted change of 2%.
Australas Psychiatry
October 2024
Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
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