Severity of thought disorder predicts psychosis in persons at clinical high-risk.

ABSTRACT:

Background

Improving predictive accuracy is of paramount importance for early detection and prevention of psychosis. We sought a symptom severity classifier that would improve psychosis risk prediction.

Methods

Subjects were from two cohorts of the North American Prodrome Longitudinal Study. All subjects met Criteria of Psychosis-Risk States. In Cohort-1 (n=296) we developed a classifier that included those items of the Scale of Psychosis-Risk Symptoms that best distinguished subjects who converted to psychosis from nonconverters, with performance initially validated by randomization tests in Cohort-1. Cohort-2 (n=592) served as an independent test set.

Results

We derived 2-Item and 4-Item subscales. Both included unusual thought content and suspiciousness; the latter

SUBMITTER: Perkins DO 

PROVIDER: S-EPMC4681584 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature