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超高危人群与健康对照者在症状上的定量和定性差异。

Quantitative and qualitative symptomatic differences in individuals at Ultra-High Risk for psychosis and healthy controls.

机构信息

Academic Medical Center, Department of Early Psychosis, Meibergdreef 5, 1105 AZ Amsterdam, the Netherlands.

出版信息

Psychiatry Res. 2013 Dec 15;210(2):432-7. doi: 10.1016/j.psychres.2013.07.018. Epub 2013 Aug 12.

Abstract

Patients at Ultra-High Risk (UHR) for developing a first psychosis vary widely in their symptom presentation and illness course. An important aim in UHR research concerns the characterization of the clinical heterogeneity in this population. We aimed to identify qualitatively and quantitatively different clinical symptom profiles at baseline and at 2-year follow-up in a group of UHR subjects and healthy controls. We employed a Latent Class Factor Analysis (LCFA) to the 19 items of the Structured Interview for Prodromal Syndromes (SIPS) ratings at baseline and at 2-year follow-up in a sample of 147 UHR subjects and 141 controls from the Dutch Prediction of Psychosis Study (DUPS) in the Netherlands. Additionally, a stepwise logistic regression analysis was performed with transition to psychosis as a dependent variable and baseline latent variable scores as predictors. Variation in symptomatology at baseline was explained by both quantitative and qualitative differences; at 2-year follow-up qualitative differences between individuals were no longer observed. Quantitative differences showed moderate stability over time (range=0.109-0.42). Within the UHR sample, transition to psychosis was significantly associated with quantitative differences in baseline SIPS scores. The results of our study suggest a 'quasi'-continuous extended psychosis phenotype, a finding that merits replication in other samples.

摘要

处于发展为首次精神病极高风险(UHR)的患者在其症状表现和疾病过程中差异很大。UHR 研究的一个重要目标是描述该人群中的临床异质性。我们旨在确定一组 UHR 受试者和健康对照者在基线和 2 年随访时的临床症状特征在定性和定量上的不同。我们采用潜在类别因子分析(LCFA)对来自荷兰精神病预测研究(DUPS)的 147 名 UHR 受试者和 141 名对照者在基线和 2 年随访时的 SIPS 评定的 19 个项目进行分析。此外,还进行了逐步逻辑回归分析,以向精神病过渡为因变量,以基线潜在变量分数为预测因子。基线时症状的变化既可以用数量差异也可以用质量差异来解释;在 2 年随访时,个体之间的定性差异不再存在。定量差异在时间上具有中等稳定性(范围为 0.109-0.42)。在 UHR 样本中,向精神病的转变与基线 SIPS 评分的定量差异显著相关。我们研究的结果表明存在一种“准连续”的扩展精神病表型,这一发现值得在其他样本中复制。

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