Rethinking the course of psychotic disorders: modelling long-term symptom trajectories.

ABSTRACT:

Background

The clinical course of psychotic disorders is highly variable. Typically, researchers have captured different course types using broad pre-defined categories. However, whether these adequately capture symptom trajectories of psychotic disorders has not been fully assessed. Using data from AESOP-10, we sought to identify classes of individuals with specific symptom trajectories over a 10-year follow-up using a data-driven approach.

Method

AESOP-10 is a follow-up, at 10 years, of 532 incident cases with a first episode of psychosis initially identified in south-east London and Nottingham, UK. Using extensive information on fluctuations in the presence of psychotic symptoms, we fitted growth mixture models to identify latent trajectory classes that accounted for hete

SUBMITTER: Morgan C 

PROVIDER: S-EPMC9647538 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature