scholarly journals Declining Clinical Course of Psychotic Disorders Over the Two Decades Following First Hospitalization: Evidence From the Suffolk County Mental Health Project

2017 ◽  
Vol 174 (11) ◽  
pp. 1064-1074 ◽  
Author(s):  
Roman Kotov ◽  
Laura Fochtmann ◽  
Kaiqiao Li ◽  
Marsha Tanenberg-Karant ◽  
Eduardo A. Constantino ◽  
...  
2005 ◽  
Vol 162 (7) ◽  
pp. 1291-1298 ◽  
Author(s):  
Ramin Mojtabai ◽  
Daniel Herman ◽  
Ezra S. Susser ◽  
Nancy Sohler ◽  
Thomas J. Craig ◽  
...  

1998 ◽  
Vol 155 (1) ◽  
pp. 109-113 ◽  
Author(s):  
Daniel B. Herman ◽  
Ezra S. Susser ◽  
Lina Jandorf ◽  
Janet Lavelle ◽  
Evelyn J. Bromet

1996 ◽  
Vol 26 (5) ◽  
pp. 953-962 ◽  
Author(s):  
E. J. Bromet ◽  
L. Jandorf ◽  
S. Fennig ◽  
J. Lavelle ◽  
B. Kovasznay ◽  
...  

SynopsisThe diagnostic specificity and predictive utility of the classical prognostic indicators in schizophrenia were examined in psychotic patients enrolled in the Suffolk County Mental Health Project. First-admission psychotic patients with schizophrenia (N= 96), major depression (N= 42), and bipolar disorder (N= 64) drawn from 10 facilities in Suffolk County, New York, were assessed during their initial hospitalization and at 6–month follow-up. Longitudinal consensus diagnoses were determined after the 6-month interview. The diagnostic groups shared similar background characteristics, but schizophrenics had poorer pre-morbid adjustment, longer periods of psychosis before hospitalization and more negative symptoms initially. Except for rehospitalization, schizophrenics had the worst and bipolars the best functioning at follow-up. Among the classical prognostic indicators, the best predictor of 6-month outcome for each diagnostic group was premorbid functioning.


2018 ◽  
Vol 44 (suppl_1) ◽  
pp. S40-S40
Author(s):  
Fett Anne-Kathrin ◽  
Eva Velthorst ◽  
Avi Reichenberg ◽  
Camilo Ruggero ◽  
Jennifer Callahan ◽  
...  

1992 ◽  
Vol 18 (2) ◽  
pp. 243-255 ◽  
Author(s):  
E. J. Bromet ◽  
J. E. Schwartz ◽  
S. Fennig ◽  
L. Geller ◽  
L. Jandorf ◽  
...  

1996 ◽  
Vol 22 (2) ◽  
pp. 119-126 ◽  
Author(s):  
Brian Kirkpatrick ◽  
Ranganathan Ram ◽  
Evelyn Bromet

1993 ◽  
Vol 72 (3_suppl) ◽  
pp. 1228-1230 ◽  
Author(s):  
Jacquelyn H. Flaskerud ◽  
Phillip D. Akutsu

Asian American clients ( N = 1528) in the Los Angeles County mental health system who were seen at ethnic-specific (Asian) clinics by Asian therapists were diagnosed with significantly lower percentages of psychotic disorders and other major psychiatric disorders and significantly higher percentages of nonpsychiatric disorders than were Asian clients who were seen by Asian and white therapists at mainstream clinics.


2019 ◽  
Vol 45 (6) ◽  
pp. 1336-1348 ◽  
Author(s):  
David C Cicero ◽  
Katherine G Jonas ◽  
Kaiqiao Li ◽  
Greg Perlman ◽  
Roman Kotov

Abstract The associations among normal personality and many mental disorders are well established, but it remains unclear whether and how symptoms of schizophrenia and schizotypal traits align with the personality taxonomy. This study examined the joint factor structure of normal personality, schizotypy, and schizophrenia symptoms in people with psychotic disorders (n = 288) and never-psychotic adults (n = 257) in the Suffolk County Mental Health Project. First, we evaluated the structure of schizotypal (positive schizotypy, negative schizotypy, and mistrust) and normal traits. In both the psychotic-disorder and never-psychotic groups, the best-fitting model had 5 factors: neuroticism, extraversion, conscientiousness, agreeableness, and psychoticism. The schizotypy traits were placed on different dimensions: negative schizotypy went on (low) extraversion, whereas positive schizotypy and mistrust went on psychoticism. Next, we added symptoms to the model. Numerous alternatives were compared, and the 5-factor model remained best-fitting. Reality distortion (hallucinations and delusions) and disorganization symptoms were placed on psychoticism, and negative symptoms were placed on extraversion. Models that separated symptom dimensions from trait dimensions did not fit well, arguing that taxonomies of symptoms and traits are aligned. This is the first study to show that symptoms of psychosis, schizotypy, and normal personality reflect the same underlying dimensions. Specifically, (low) extraversion, negative schizotypy, and negative symptoms form one spectrum, whereas psychoticism, positive schizotypy, and positive and disorganized symptoms form another. This framework helps to understand the heterogeneity of psychosis and comorbidity patterns found in psychotic disorders. It also underscores the importance of traits to understanding these disorders.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Katherine G. Jonas ◽  
Todd Lencz ◽  
Kaiqiao Li ◽  
Anil K. Malhotra ◽  
Greg Perlman ◽  
...  

AbstractUnderstanding whether and how the schizophrenia polygenic risk score (SZ PRS) predicts course of illness could improve diagnosis and prognostication in psychotic disorders. We tested whether the SZ PRS predicts symptoms, cognition, illness severity, and diagnostic changes over the 20 years following first admission. The Suffolk County Mental Health Project is an inception cohort study of first-admission patients with psychosis. Patients were assessed six times over 20 years, and 249 provided DNA. Geographically- and demographically-matched never psychotic adults were recruited at year 20, and 205 provided DNA. Symptoms were rated using the Schedule for the Assessment of Positive Symptoms and Schedule for the Assessment of Negative Symptoms. Cognition was evaluated with a comprehensive neuropsychological battery. Illness severity and diagnosis were determined by consensus of study psychiatrists. SZ PRS was significantly higher in first-admission than never psychotic groups. Within the psychosis cohort, the SZ PRS predicted more severe negative symptoms (β = 0.21), greater illness severity (β = 0.28), and worse cognition (β = −0.35), across the follow-up. The SZ PRS was the strongest predictor of diagnostic shifts from affective to non-affective psychosis over the 20 years (AUC = 0.62). The SZ PRS predicts persistent differences in cognition and negative symptoms. The SZ PRS also predicts who among those who appear to have a mood disorder with psychosis at first admission will ultimately be diagnosed with a schizophrenia spectrum disorder. These findings show potential for the SZ PRS to become a tool for diagnosis and treatment planning.


Sign in / Sign up

Export Citation Format

Share Document