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鉴别首发精神病及高临床风险年轻患者的精神分裂谱系障碍与非谱系障碍:基本自我障碍和神经认知的作用。

Distinguishing schizophrenia spectrum from non-spectrum disorders among young patients with first episode psychosis and at high clinical risk: The role of basic self-disturbance and neurocognition.

机构信息

Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia.

Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland.

出版信息

Schizophr Res. 2021 Feb;228:19-28. doi: 10.1016/j.schres.2020.11.061. Epub 2021 Jan 9.

Abstract

INTRODUCTION

The distinction between the schizophrenia spectrum and other types of disorders may be clinically relevant in terms of its predictive validity as suggested by studies showing schizophrenia spectrum patients have more unfavourable outcomes compared to other psychotic disorders. The present study aimed to investigate whether basic self-disturbances and neurocognitive processes that have been linked to psychosis risk have discriminative power for schizophrenia spectrum disorders in patients presenting with first episode psychosis (FEP) and at ultra-high risk for psychosis (UHR).

METHODS

38 FEP patients, 48 UHR patients, and 33 healthy controls were assessed for basic self-disturbances (using the Examination of Anomalous Self-Experience, EASE, interview), source monitoring and aberrant salience (behavioural tasks to measure neurocognitive constructs). Clinical groups were divided into patients with schizophrenia spectrum disorders and those with other non-spectrum disorders and were further compared on measures controlling for symptom severity and age.

RESULTS

Basic self-disturbances distinguished schizophrenia spectrum from non-spectrum disorders in the 'FEP only' sample, F = 19.76, p < 0.001, η = 0.37, and also in the combined UHR/FEP sample, F = 23.56, p < 0.001, η = 0.22. Additionally, some processes related to source monitoring deficits were elevated in schizophrenia spectrum disorders. In contrast, the two groups (schizophrenia spectrum vs other diagnoses) performed similarly in aberrant salience tasks. Comparable results were obtained for analyses performed with an FEP/UHR combined sample and the 'FEP only' sample.

DISCUSSION

Basic self-disturbances at the phenomenological level and source monitoring deficits on the neurocognitive level may be useful in identifying risk of schizophrenia spectrum disorders at the earliest clinical presentation.

摘要

简介

精神分裂症谱系与其他类型障碍的区分在预测效度方面可能具有临床意义,这一点得到了研究的支持,这些研究表明,精神分裂症谱系患者的预后比其他精神病性障碍更差。本研究旨在调查基本的自我干扰和与精神病风险相关的神经认知过程是否对首次发作精神病(FEP)和超高风险精神病(UHR)患者具有精神分裂症谱系障碍的鉴别能力。

方法

对 38 名 FEP 患者、48 名 UHR 患者和 33 名健康对照者进行基本自我干扰(使用异常自我体验检查,EASE,访谈)、来源监测和异常突显(行为任务,以测量神经认知结构)的评估。临床组分为精神分裂症谱系障碍患者和非谱系障碍患者,并进一步根据症状严重程度和年龄进行比较。

结果

基本自我干扰在“仅 FEP”样本中区分了精神分裂症谱系与非谱系障碍,F=19.76,p<0.001,η=0.37,在 UHR/FEP 联合样本中也有区分,F=23.56,p<0.001,η=0.22。此外,一些与来源监测缺陷相关的过程在精神分裂症谱系障碍中升高。相比之下,两组(精神分裂症谱系与其他诊断)在异常突显任务中的表现相似。在对 FEP/UHR 联合样本和“仅 FEP”样本进行的分析中,也得到了类似的结果。

讨论

在最早期的临床表现中,现象学水平的基本自我干扰和神经认知水平的来源监测缺陷可能有助于识别精神分裂症谱系障碍的风险。

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