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中风患者牛津认知筛查的主成分分析

Principal Component Analysis of Oxford Cognitive Screen in Patients With Stroke.

作者信息

Iosa Marco, Demeyere Nele, Abbruzzese Laura, Zoccolotti Pierluigi, Mancuso Mauro

机构信息

Department of Psychology, Sapienza University of Rome, Rome, Italy.

IRCCS Fondazione Santa Lucia, Rome, Italy.

出版信息

Front Neurol. 2022 May 27;13:779679. doi: 10.3389/fneur.2022.779679. eCollection 2022.

DOI:10.3389/fneur.2022.779679
PMID:35711263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9197217/
Abstract

Cognitive deficits occur in most patients with stroke and are the important predictors of adverse long-term outcome. Early identification is fundamental to plan the most appropriate care, including rehabilitation and discharge decisions. The Oxford Cognitive Screen (OCS) is a simple, valid, and reliable tool for the assessment of cognitive deficits in patients with stroke. It contains 10 subtests, providing 14 scores referring to 5 theoretically derived cognitive domains: attention, language, number, praxis, and memory. However, an empirical verification of the domain composition of the OCS subtests in stroke data is still lacking in the literature. A principal component analysis (PCA) was performed on 1,973 patients with stroke who were enrolled in OCS studies in the UK and in Italy. A number of six main components were identified relating to the domains of language and arithmetic, memory, visuomotor ability, orientation, spatial exploration, and executive functions. Bootstrapped split-half reliability analysis on patients and comparison between patients and 498 healthy participants, as that between patients with left and right hemisphere damage, confirmed the results obtained by the principal component analysis. A clarification about the contribution of each score to the theoretical original domains and to the components identified by the PCA is provided with the aim to foster the usability of OCS for both clinicians and researchers.

摘要

大多数中风患者会出现认知缺陷,且认知缺陷是长期不良预后的重要预测因素。早期识别对于规划最恰当的护理至关重要,包括康复和出院决策。牛津认知筛查(OCS)是一种用于评估中风患者认知缺陷的简单、有效且可靠的工具。它包含10个分测验,提供14个分数,涉及5个理论上推导出来的认知领域:注意力、语言、数字、实践能力和记忆。然而,文献中仍缺乏对中风数据中OCS分测验领域构成的实证验证。对在英国和意大利参与OCS研究的1973例中风患者进行了主成分分析(PCA)。确定了六个主要成分,分别与语言和算术、记忆、视觉运动能力、定向、空间探索和执行功能等领域相关。对患者进行自抽样折半信度分析,并将患者与498名健康参与者进行比较,以及比较左、右半球损伤患者之间的情况,均证实了主成分分析的结果。为促进OCS在临床医生和研究人员中的实用性,对每个分数在理论原始领域和PCA确定的成分中的贡献进行了说明。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/638bb99aeff1/fneur-13-779679-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/a21b6a3074ff/fneur-13-779679-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/7633bbe597d2/fneur-13-779679-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/aaa56d0e9c46/fneur-13-779679-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/638bb99aeff1/fneur-13-779679-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/a21b6a3074ff/fneur-13-779679-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/7633bbe597d2/fneur-13-779679-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/aaa56d0e9c46/fneur-13-779679-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a54/9197217/638bb99aeff1/fneur-13-779679-g0004.jpg

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本文引用的文献

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Neurorehabil Neural Repair. 2021 Sep;35(9):823-835. doi: 10.1177/15459683211032977. Epub 2021 Jul 16.
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A low-dimensional structure of neurological impairment in stroke.中风神经功能缺损的低维结构
Brain Commun. 2021 Jun 3;3(2):fcab119. doi: 10.1093/braincomms/fcab119. eCollection 2021.
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Semantic and episodic memory in adults with temporal lobe epilepsy.成人颞叶癫痫的语义和情景记忆。
基于临床 CT 扫描的神经影像学标志物与早期和晚期脑卒中后阶段特定领域认知障碍的关联。
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Psychometric Properties of the Chinese (Putonghua) Version of the Oxford Cognitive Screen (OCS-P) in Subacute Poststroke Patients without Neglect.中文版牛津认知筛查量表(OCS-P)在亚急性脑卒中后无忽视患者中的心理测量特性。
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