PSYCH OpenIR
Revisiting the persistent negative symptoms proxy score using the Clinical Assessment Interview for Negative Symptoms
Li, Ying1,2,3,6; Li, Wen-xiu3; Zou, Ying-min1,2,6; Yang, Zhuo-ya1,2,6; Xie, Dong-jie1,2,6; Yang, Yin1,6; Lu, Simon S. Y.1,4,6; Strauss, Gregory P.5; Cheung, Eric F. C.4; Chan, Raymond C. K.1,2,6
通讯作者Chan, Raymond C. K.(rckchan@psych.ac.cn)
摘要Objective: The present study aimed to validate a severity cut-off of negative symptoms for persistent negative symptoms (PNS) identification using the Clinical Assessment Interview for Negative Symptoms (CAINS). Method: A total of 206 patients with schizophrenia were recruited and divided into the PNS group (n = 57) and the Non-PNS group (n = 149) using PNS criteria based on the SANS and the SAPS. To determine the appropriate cut-offs on the CAINS in identifying PNS, Receiver Operating Characteristic (ROC) curve analysis was conducted in the PNS and Non-PNS groups. Results: Our results showed that the cutoffs for identifying PNS on the CAINS total score, the Motivation and Pleasure (MAP) subscale score and the Expression (EXP) subscale score were 25, 17, and 5 respectively. Area Under the Curve (AUC) analysis indicated excellent discrimination of the PNS group from the Non-PNS group using the cut-off for the CAINS total score. However, discrimination was somewhat better for the MAP subscale score than the EXP subscale score. The Positive Predictive Value (PPV) and Negative Predictive Value (NPV) of the MAP subscale were 81.54% and 97.16%. Conclusion: We found that the cut-off scores derived from the CAINS to identify PNS are comparable to existing scales. The CAINS offers an alternative means in identifying PNS patients in clinical trials that overcomes methodological and conceptual limitations of older scales. (C) 2018 Elsevier B.V. All rights reserved.
关键词CAINS Persistent negative symptoms Schizophrenia ROC curve
2018-12-01
语种英语
DOI10.1016/j.schres.2018.07.005
发表期刊SCHIZOPHRENIA RESEARCH
ISSN0920-9964
卷号202页码:248-253
收录类别SCI
资助项目Beijing Training Project for the Leading Talents in Science and Technology[Z151100000315020] ; Beijing Municipal Science and Technology Commission Grant[Z161100000216138] ; National Key Research and Development Programme[2016YFC0906402] ; National Science Fund China[81571317] ; National Science Fund China[81571317] ; National Key Research and Development Programme[2016YFC0906402] ; Beijing Municipal Science and Technology Commission Grant[Z161100000216138] ; Beijing Training Project for the Leading Talents in Science and Technology[Z151100000315020]
出版者ELSEVIER SCIENCE BV
WOS关键词1ST EPISODE SCHIZOPHRENIA ; SCALE ; VALIDATION ; VERSION ; DEPRESSION ; APATHY
WOS研究方向Psychiatry
WOS类目Psychiatry
WOS记录号WOS:000452298400037
资助机构National Science Fund China ; National Key Research and Development Programme ; Beijing Municipal Science and Technology Commission Grant ; Beijing Training Project for the Leading Talents in Science and Technology
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/27868
通讯作者Chan, Raymond C. K.
作者单位1.Inst Psychol, Neuropsychot & Appl Cognit Neurosci Lab, CAS Key Lab Mental Hlth, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
3.Haidian Dist Mental Hlth Prevent Treatment Hosp, Beijing, Peoples R China
4.Castle Peak Hosp, Hong Kong, Hong Kong, Peoples R China
5.Univ Georgia, Dept Psychol, Athens, GA 30602 USA
6.Chinese Acad Sci, Inst Psychol, 16 Lincui Rd, Beijing 100101, Peoples R China
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GB/T 7714
Li, Ying,Li, Wen-xiu,Zou, Ying-min,et al. Revisiting the persistent negative symptoms proxy score using the Clinical Assessment Interview for Negative Symptoms[J]. SCHIZOPHRENIA RESEARCH,2018,202:248-253.
APA Li, Ying.,Li, Wen-xiu.,Zou, Ying-min.,Yang, Zhuo-ya.,Xie, Dong-jie.,...&Chan, Raymond C. K..(2018).Revisiting the persistent negative symptoms proxy score using the Clinical Assessment Interview for Negative Symptoms.SCHIZOPHRENIA RESEARCH,202,248-253.
MLA Li, Ying,et al."Revisiting the persistent negative symptoms proxy score using the Clinical Assessment Interview for Negative Symptoms".SCHIZOPHRENIA RESEARCH 202(2018):248-253.
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