Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS)
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...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2022-06-01
|
| Series: | European Psychiatry |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933822005855/type/journal_article |
| _version_ | 1827754747483914240 |
|---|---|
| author | Y. Hamasaki M. Matsuo Y. Sakaue R. Sanada T. Nakayama S. Michikoshi S. Ueba N. Kurimoto T. Hikida |
| author_facet | Y. Hamasaki M. Matsuo Y. Sakaue R. Sanada T. Nakayama S. Michikoshi S. Ueba N. Kurimoto T. Hikida |
| author_sort | Y. Hamasaki |
| collection | DOAJ |
| description |
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.
|
| first_indexed | 2024-03-11T07:53:46Z |
| format | Article |
| id | doaj.art-a07fadfe0a0d4c0d97552693ab2453e0 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-03-11T07:53:46Z |
| publishDate | 2022-06-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-a07fadfe0a0d4c0d97552693ab2453e02023-11-17T05:06:09ZengCambridge University PressEuropean Psychiatry0924-93381778-35852022-06-0165S225S22510.1192/j.eurpsy.2022.585Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS)Y. Hamasaki0M. Matsuo1Y. Sakaue2R. Sanada3T. Nakayama4S. Michikoshi5S. Ueba6N. Kurimoto7T. Hikida8Kyoto Women’s University, Faculty Of Contemporary Society, kyoto, JapanShiga University of Medical Science, Department Of Psychiatry, Otsu、Shiga, JapanShiga University of Medical Science, Department Of Pediatrics, Otsu, Shiga, JapanShiga University of Medical Science, Department Of Psychiatry, Otsu、Shiga, JapanKyoto Women’s University, Faculty Of Contemporary Society, kyoto, JapanKyoto Women’s University, Faculty Of Contemporary Society, kyoto, JapanSaiseikai Moriyama Municipal Hospital, Department Of Pediatrics, Shiga, JapanShiga University of Medical Science, Department Of Psychiatry, Otsu、Shiga, Japan Shigasato Hospital, Department Of Psychiatry, Shiga, JapanOsaka University, Laboratory For Advanced Brain Functions, Institute For Protein Research, Osaka, Japan 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. https://www.cambridge.org/core/product/identifier/S0924933822005855/type/journal_articleChild Behavior ChecklistPsychosisCPSSprodrome |
| spellingShingle | Y. Hamasaki M. Matsuo Y. Sakaue R. Sanada T. Nakayama S. Michikoshi S. Ueba N. Kurimoto T. Hikida Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS) European Psychiatry Child Behavior Checklist Psychosis CPSS prodrome |
| title | Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS) |
| title_full | Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS) |
| title_fullStr | Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS) |
| title_full_unstemmed | Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS) |
| title_short | Toward the clinical application of the Child Psychosis-Risk Screening System (CPSS) |
| title_sort | toward the clinical application of the child psychosis risk screening system cpss |
| topic | Child Behavior Checklist Psychosis CPSS prodrome |
| url | https://www.cambridge.org/core/product/identifier/S0924933822005855/type/journal_article |
| work_keys_str_mv | AT yhamasaki towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss AT mmatsuo towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss AT ysakaue towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss AT rsanada towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss AT tnakayama towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss AT smichikoshi towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss AT sueba towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss AT nkurimoto towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss AT thikida towardtheclinicalapplicationofthechildpsychosisriskscreeningsystemcpss |