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Testing the clinical application of the child psychosis-risk screening system (CPSS)

Published online by Cambridge University Press:  13 August 2021

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

Abstract

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Introduction

Children in a prodromal state manifesting as truancy or social isolation (hikikomori) often complain of problems that are physical in nature and are subject to significant changes. We developed the Child Psychosis-Risk Screening System (CPSS) that incorporates childhood psycho-behavioral characteristics revealed through a retrospective survey of schizophrenia patients into its algorithm.

Objectives

Our research aimed to test the risk identification of pediatric and psychiatric clinic outpatients using the CPSS.

Methods

We conducted an epidemiological study involving 204 outpatients between the ages of 6 and 14 years who had been examined at a pediatric or psychiatric clinic using the CBCL and clinical data from medical charts. Logistic regression analysis and T-tests were performed using each clinical data variable to clarify the risk of the CPSS calculated from the CBCL data and contributing factors.

Results

The results of the logistic regression analysis demonstrated that the diagnostic category (physical illness or DSM-5 diagnosis) and chief complaint did not contribute to differentiate between the high-risk and low-risk groups. Meanwhile, the environmental factors of “abuse” and “social isolation” did contribute to the discrimination of the two groups.

Conclusions

The fact that the diagnostic category during childhood does not contribute to the discrimination of the high- risk group warrants attention. It is possible that the high-risk group only had a latent endophenotype that had not yet manifested during this period. The factors suggested to have an association with the high-risk group may be reflecting activators and the dynamic state of the critical period for psychosis.

Disclosure

No significant relationships.

Keywords

schizophréniaprodromal stateScreeningCBCL
Type
Abstract
Information
European Psychiatry , Volume 64 , Special Issue S1: Abstracts of the 29th European Congress of Psychiatry , April 2021 , pp. S638
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), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
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