Exploring the latent cognitive structure in schizophrenia: implications for antipsychotic treatment responses.

IF 3.7 3区 医学 Q1 CLINICAL NEUROLOGY European Archives of Psychiatry and Clinical Neuroscience Pub Date : 2025-04-01 Epub Date: 2024-05-27 DOI:10.1007/s00406-024-01828-6
Weiyan Wang, Xingjie Peng, Gangrui Hei, Yujun Long, Jingmei Xiao, Tiannan Shao, Li Li, Ye Yang, Xiaoyi Wang, Chuhan Song, Yuyan Huang, Jingda Cai, Jing Huang, Dongyu Kang, Ying Wang, Jingping Zhao, Hui Tang, Renrong Wu
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Abstract

Background: Individuals diagnosed with schizophrenia present diverse degrees and types of cognitive impairment, leading to variations in responses to antipsychotic treatments. Understanding the underlying cognitive structures is crucial for assessing this heterogeneity. Utilizing latent profile analysis (LPA) enables the delineation of latent categories of cognitive function. Integrating this approach with a dimensional perspective allows for the exploration of the relationship between cognitive function and treatment response.

Methods: This study examined 647 patients from two distinct cohorts. Utilizing LPA within the discovery cohort (n = 333) and the replication cohort (n = 314), latent subtypes were identified categorically. The stability of cognitive structures was evaluated employing Latent Transition Analysis (LTA). The relationship between cognitive function and treatment response were investigated by comparing Positive and Negative Syndrome Scale (PANSS) reduction rates across diverse cognitive subtypes. Furthermore, dimensional insights were gained through correlation analyses between cognitive tests and PANSS reduction rates.

Results: In terms of categorical, individuals diagnosed with schizophrenia can be categorized into three distinct subtypes: those 'without cognitive deficit', those 'with mild-moderate cognitive 'eficit', and those 'with moderate-severe cognitive deficit'. There are significant differences in PANSS reduction rates among patients belonging to these subtypes following antipsychotic treatment (p < 0.05). Furthermore, from a dimensional perspective, processing speed at baseline is positively correlated with PANSS score reduction rates at week 8/week 10 (p < 0.01).

Conclusions: Our findings have unveiled the latent subtypes of cognitive function in schizophrenia, illuminating the association between cognitive function and responses to antipsychotic treatment from both categorical and dimensional perspectives.

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探索精神分裂症的潜在认知结构:对抗抑郁治疗反应的影响。
背景:被诊断为精神分裂症的患者会出现不同程度和类型的认知障碍,从而导致对抗精神病药物治疗的反应各不相同。了解潜在的认知结构对于评估这种异质性至关重要。利用潜在特征分析(LPA)可以划分认知功能的潜在类别。将这种方法与维度视角相结合,可以探索认知功能与治疗反应之间的关系:本研究对来自两个不同队列的 647 名患者进行了研究。利用发现队列(n = 333)和复制队列(n = 314)中的 LPA,分类确定了潜在亚型。认知结构的稳定性通过潜转分析(LTA)进行了评估。通过比较不同认知亚型的阳性和阴性综合量表(PANSS)降低率,研究了认知功能与治疗反应之间的关系。此外,还通过认知测试与 PANSS 降低率之间的相关性分析,从多个维度进行了深入研究:从分类上看,被诊断为精神分裂症的患者可分为三种不同的亚型:"无认知缺陷 "型、"轻度-中度认知缺陷 "型和 "中度-严重认知缺陷 "型。属于这些亚型的患者在接受抗精神病治疗后,其 PANSS 降低率存在明显差异(P 结论):我们的研究结果揭示了精神分裂症认知功能的潜在亚型,从分类和维度的角度阐明了认知功能与抗精神病治疗反应之间的关联。
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来源期刊
CiteScore
8.80
自引率
4.30%
发文量
154
审稿时长
6-12 weeks
期刊介绍: The original papers published in the European Archives of Psychiatry and Clinical Neuroscience deal with all aspects of psychiatry and related clinical neuroscience. Clinical psychiatry, psychopathology, epidemiology as well as brain imaging, neuropathological, neurophysiological, neurochemical and moleculargenetic studies of psychiatric disorders are among the topics covered. Thus both the clinician and the neuroscientist are provided with a handy source of information on important scientific developments.
期刊最新文献
Correction: Memory deficits in children and adolescents with a psychotic disorder: a systematic review and meta-analysis. Correction: The role of tight junction proteins in the pathogenesis of schizophrenia. Advancing the understanding of psychosis: integrating trauma, substance use, and neurobiological evidence. Hypothalamic subunit volumes and relations to violence and psychopathy in male offenders with or without a psychotic disorder. Circulating RBP4 and FABP4 concentrations in patients with chronic schizophrenia are associated with increased epicardial adipose tissue volume and metabolic syndrome.
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