儿童精神病风险筛查系统的诊断特异性,重点是精神分裂症谱系障碍和神经发育障碍的区分

Y. Hamasaki, Y. Sakaue, Masahiro Matsuo, R. Sanada, T. Nakayama, S. Michikoshi, S. Ueba, N. Kurimoto, T. Hikida, Toshiyasu Murai
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引用次数: 0

摘要

早期精神病研究已经开始确定精神分裂症前驱期的精神病学特征;然而,儿童在非精神病学领域的亚临床特征尚未得到充分调查。在我们之前的研究中,我们开发了儿童精神病风险筛查系统(CPSS)。在本横断面研究中,我们试图用CPSS识别6 - 18岁的儿科(n = 216)和精神科门诊患者(n = 120)患精神病的风险。在六个诊断类别中进行了CPSS风险的方差分析,以检查每种诊断的特异性。以精神分裂症发病谱为结果,进行受试者工作特征(ROC)曲线分析,确定CPSS的区分力和截断值。使用临床数据进行Logistic回归分析,以确定与使用CPSS确定的风险组(未来发展为精神病的高危人群)相关的因素。不同诊断类别之间的风险方差有显著差异(p < 0.001),尤其是精神分裂症谱系障碍(SSD)和神经发育障碍之间(p = 0.001)。CPSS对SSD诊断有足够的判别能力[ROC曲线下面积= 0.853(95%可信区间:0.774 ~ 0.931)]。确定SSD风险的截断值为98.1%,达到敏感性(90.9%)和特异性(84.0%)之和的最佳平均值。横断面logistic回归分析显示,除了“SSD诊断”外,“冬季出生”和“虐待”是与危险组相关的因素(优势比分别为38.05 [p = 0.001]、2.30 [p = 0.016]和0.12 [p = 0.024])。CPSS可能在精神疾病的早期检测和神经发育障碍的鉴别中有潜在的用途,但本研究规模较小,在常规临床实践中使用CPSS之前,需要进一步的大样本量和纵向研究设计。
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Diagnostic specificity of the child psychosis-risk screening system with a focus on the differentiation of schizophrenia spectrum disorders and neurodevelopmental disorders
Research on early psychosis has begun to identify psychiatric characteristics of the prodromal period of schizophrenia; however, subclinical characteristics of children in non-psychiatric fields have not been fully investigated. In our previous study, we developed the Child Psychosis-risk Screening System (CPSS).In the present cross-sectional study, we attempted to identify the risk of developing psychosis in pediatric (n = 216) and psychiatric outpatients (n = 120), aged 6– 18 years, with the CPSS.An analysis of variance of CPSS risk was performed in six diagnostic categories to examine specificity for each diagnosis. Receiver operating characteristic (ROC) curve analysis was conducted using the onset of schizophrenia spectrum as the outcome, and the discriminatory power and cut off values of the CPSS were determined. Logistic regression analysis was performed using clinical data to identify factors associated with the risk group (those at high risk of developing psychosis in the future) identified using the CPSS.There were significant differences in risk variance among diagnostic categories (p < 0.001), especially between schizophrenia spectrum disorders (SSD) and neurodevelopmental disorders (p = 0.001). CPSS had sufficient discriminatory power for SSD diagnosis [area under the ROC curve = 0.853 (95% confidence interval: 0.774–0.931)]. The cut off value for the risk of SSD was determined to be 98.1%, achieving the best mean of the sum of sensitivity (90.9%) and specificity (84.0%). Cross-sectional logistic regression analysis showed that along with “SSD diagnosis,” “winter birth,” and “maltreatment” were factors associated with the risk group (odds ratio = 38.05 [p = 0.001], 2.30 [p = 0.016], and 0.12 [p = 0.024], respectively).CPSS may have potential use in the early detection of psychosis and differentiation from neurodevelopmental disorders, but this study was small and further studies with larger sample sizes and longitudinal study designs are required prior to its use in routine clinical practice.
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