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Neurocognitive profiles in the prodrome to psychosis in NAPLS-1.

Authors :
Velthorst E
Meyer EC
Giuliano AJ
Addington J
Cadenhead KS
Cannon TD
Cornblatt BA
McGlashan TH
Perkins DO
Tsuang MT
Walker EF
Woods SW
Bearden CE
Seidman LJ
Source :
Schizophrenia research [Schizophr Res] 2019 Feb; Vol. 204, pp. 311-319. Date of Electronic Publication: 2018 Aug 02.
Publication Year :
2019

Abstract

Background: Most studies of neurocognitive functioning in Clinical High Risk (CHR) cohorts have examined group averages, likely concealing heterogeneous subgroups. We aimed to identify neurocognitive subgroups and to explore associated outcomes.<br />Methods: Data were acquired from 324 participants (mean age 18.4) in the first phase of the North American Prodrome Longitudinal Study (NAPLS-1), a multi-site consortium following individuals for up to 2 1/2 years. We applied Ward's method for hierarchical clustering data to 8 baseline neurocognitive measures, in 166 CHR individuals, 49 non-CHR youth with a family history of psychosis, and 109 healthy controls. We tested whether cluster membership was associated with conversion to psychosis, social and role functioning, and follow-up diagnosis. Analyses were repeated after data were clustered based on independently developed clinical decision rules.<br />Results: Four neurocognitive clusters were identified: Significantly Impaired (n = 33); Mildly Impaired (n = 82); Normal (n = 145) and High (n = 64). The Significantly Impaired subgroup demonstrated the largest deviations on processing speed and memory tasks and had a conversion rate of 58%, a 40% chance of developing a schizophrenia spectrum diagnosis (compared to 24.4% in the Mildly Impaired, and 10.3% in the other two groups combined), and significantly worse functioning at baseline and 12-months. Data clustered using clinical decision rules yielded similar results, pointing to high convergent validity.<br />Conclusion: Neurocognitive profiles vary substantially in their severity and are associated with diagnostic and functional outcome, underscoring neurocognition as a predictor of illness outcomes. These findings, if replicated, are a first step toward personalized treatment for individuals at-risk for psychosis.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1573-2509
Volume :
204
Database :
MEDLINE
Journal :
Schizophrenia research
Publication Type :
Academic Journal
Accession number :
30078717
Full Text :
https://doi.org/10.1016/j.schres.2018.07.038