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Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS)

Published online by Cambridge University Press:  01 September 2022

Y. Hamasaki ,
M. Matsuo ,
Y. Sakaue ,
R. Sanada ,
T. Nakayama ,
S. Michikoshi ,
S. Ueba ,
N. Kurimoto  and
T. Hikida
Y. Hamasaki*
Affiliation:
Kyoto Women’s University, Faculty Of Contemporary Society, kyoto, Japan
M. Matsuo
Affiliation:
Shiga University of Medical Science, Department Of Psychiatry, Otsu、Shiga, Japan
Y. Sakaue
Affiliation:
Shiga University of Medical Science, Department Of Pediatrics, Otsu, Shiga, Japan
R. Sanada
Affiliation:
Shiga University of Medical Science, Department Of Psychiatry, Otsu、Shiga, Japan
T. Nakayama
Affiliation:
Kyoto Women’s University, Faculty Of Contemporary Society, kyoto, Japan
S. Michikoshi
Affiliation:
Kyoto Women’s University, Faculty Of Contemporary Society, kyoto, Japan
S. Ueba
Affiliation:
Saiseikai Moriyama Municipal Hospital, Department Of Pediatrics, Shiga, Japan
N. Kurimoto
Affiliation:
Shiga University of Medical Science, Department Of Psychiatry, Otsu、Shiga, Japan Shigasato Hospital, Department Of Psychiatry, Shiga, Japan
T. Hikida
Affiliation:
Osaka University, Laboratory For Advanced Brain Functions, Institute For Protein Research, Osaka, Japan
*
*Corresponding author.

Abstract

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Introduction

In our previous study, we have developed the Child Psychosis-risk Screening System (CPSS), which incorporates psychological and behavioral characteristics of childhood into an algorithm, based on a retrospective survey.

Objectives

In this study, we actually tried to evaluate the risk of psychosis in pediatric and psychiatric outpatients using the CPSS.

Methods

We conducted an epidemiological study of 323 outpatients aged 6-18 years visiting pediatric and psychiatric departments using CBCL and clinical data (sex, age, winter birth, chief complaint, diagnosis, abuse, bullying, hikikomori). ROC analysis was used to assess the accuracy of CPSS predictions. Cross-sectional logistic regression analysis was performed on the clinical data to identify factors associated with risk groups exceeding the cutoff value.

Results

The results of the ROC analysis showed that the AUC (Area under the ROC Curve) was 80.3%, indicating that the CPSS has Moderate accuracy. The cutoff value was 98.11% (sensitivity: 0.857, specificity: 0.835), and 18% of the subjects were identified as risk groups above this value. Cross-sectional logistic regression analysis showed that schizophrenia diagnosis, no abuse, winter birth, and hikikomori were associated with the risk group, with respective odds ratios of 22.88, 10.76, 1.91, and 1.37.

Conclusions

The results of this study suggest that the CPSS can be applied to pediatric practice for early detection of risk for psychosis. The risk group is also present among pediatric patients with physical chief complaints. The factors suggested to be associated with risk groups may reflect the factors acting on the critical period of psychosis onset and the dynamic state.

Disclosure

No significant relationships.

Keywords

Child Behavior ChecklistPsychosisCPSSprodrome
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S225
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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