A critical research goal is to identify modifiable risk factors leading to functional disabilities in young psychiatric patients. The authors developed a multidimensional trans-diagnostic predictive model of functional outcome in patients with the recent-onset of a psychiatric illness. Baseline clinical, psychosis-risk status, cognitive, neurological-soft-signs measures, and dopamine-related-gene polymorphisms (DRD1-rs4532, COMT-rs165599, and DRD4-rs1300955) were collected in 133 young non-psychotic outpatients. 116 individuals underwent follow-up (mean = 22 years, SD = 0.9) examination, A binary logistic model was used to predict low-functioning status at follow-up as defined by a score lower than 65 in the social occupational functioning assessment scale. A total of 54% of patients experiences low functioning at follow-up. Attention, Avolition, and Motor-Coordination subscale were significant predictors of low-functioning with an accuracy of 79.7%. A non-significant trend was found for a dopamine-related-gene polymorphism (DRD1-rs4532). The model was independent of psychotic risk status, DSM-diagnosis, and psychotic conversion. A trans-diagnostic approach taking into account specific neurocognitive, clinical, and neurological information has the potential to identify those individuals with low-functioning independent of DSM diagnosis or the level of psychosis-risk. Specific early interventions targeting modifiable risk factors and emphasize functional recovery in young psychiatric samples, independent of DSM-diagnosis and psychosis-risk, are essential. (C) 2016 Elsevier B.V. All rights reserved.
Prediction of functional outcome in young patients with a recent-onset psychiatric disorder: beyond the traditional diagnostic classification system / Minichino, Amedeo; Francesconi, Marta; Carrión, Ricardo E.; Bevilacqua, Arturo; Parisi, Maurizio; Rullo, Santo; Ando', Agata; Biondi, Massimo; DELLE CHIAIE, Roberto; Cadenhead, Kristin. - In: SCHIZOPHRENIA RESEARCH. - ISSN 0920-9964. - ELETTRONICO. - 185:(2017), pp. 114-121. [10.1016/j.schres.2016.12.019]
Prediction of functional outcome in young patients with a recent-onset psychiatric disorder: beyond the traditional diagnostic classification system
MINICHINO, AMEDEO;FRANCESCONI, MARTA;BEVILACQUA, Arturo;BIONDI, Massimo;DELLE CHIAIE, ROBERTO;
2017
Abstract
A critical research goal is to identify modifiable risk factors leading to functional disabilities in young psychiatric patients. The authors developed a multidimensional trans-diagnostic predictive model of functional outcome in patients with the recent-onset of a psychiatric illness. Baseline clinical, psychosis-risk status, cognitive, neurological-soft-signs measures, and dopamine-related-gene polymorphisms (DRD1-rs4532, COMT-rs165599, and DRD4-rs1300955) were collected in 133 young non-psychotic outpatients. 116 individuals underwent follow-up (mean = 22 years, SD = 0.9) examination, A binary logistic model was used to predict low-functioning status at follow-up as defined by a score lower than 65 in the social occupational functioning assessment scale. A total of 54% of patients experiences low functioning at follow-up. Attention, Avolition, and Motor-Coordination subscale were significant predictors of low-functioning with an accuracy of 79.7%. A non-significant trend was found for a dopamine-related-gene polymorphism (DRD1-rs4532). The model was independent of psychotic risk status, DSM-diagnosis, and psychotic conversion. A trans-diagnostic approach taking into account specific neurocognitive, clinical, and neurological information has the potential to identify those individuals with low-functioning independent of DSM diagnosis or the level of psychosis-risk. Specific early interventions targeting modifiable risk factors and emphasize functional recovery in young psychiatric samples, independent of DSM-diagnosis and psychosis-risk, are essential. (C) 2016 Elsevier B.V. All rights reserved.File | Dimensione | Formato | |
---|---|---|---|
Minichino_prediction-functional-outcome2016.pdf
accesso aperto
Note: Articolo principale
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
417.08 kB
Formato
Adobe PDF
|
417.08 kB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.