Prediction of psychosis: model development and internal validation of a personalized risk calculator.

ABSTRACT:

Background

Over the past two decades, early detection and early intervention in psychosis have become essential goals of psychiatry. However, clinical impressions are insufficient for predicting psychosis outcomes in clinical high-risk (CHR) individuals; a more rigorous and objective model is needed. This study aims to develop and internally validate a model for predicting the transition to psychosis within 10 years.

Methods

Two hundred and eight help-seeking individuals who fulfilled the CHR criteria were enrolled from the prospective, naturalistic cohort program for CHR at the Seoul Youth Clinic (SYC). The least absolute shrinkage and selection operator (LASSO)-penalized Cox regression was used to develop a predictive model for a psychotic transition. We performed k-means

SUBMITTER: Lee TY 

PROVIDER: S-EPMC9647536 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature