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评估日常生活活动表现对轻度认知障碍诊断的有用性。

The Usefulness of Evaluating Performance of Activities in Daily Living in the Diagnosis of Mild Cognitive Disorders.

机构信息

Frailty in Ageing (FRIA) Research Group, Department Gerontology, Vrije Universiteit Brussel, 1090 Brussel, Belgium.

Department Occupational Therapy, Artevelde University of Applied Sciences, 9000 Ghent, Belgium.

出版信息

Int J Environ Res Public Health. 2021 Nov 5;18(21):11623. doi: 10.3390/ijerph182111623.

DOI:10.3390/ijerph182111623
PMID:34770137
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8583568/
Abstract

The Assessment of Activities of Daily Living (ADL) is paramount to ensure the accurate early diagnosis of neurocognitive disorders. Unfortunately, the most common ADL tools are limited in their use in a diagnostic process. Hence, we set out to validate a tool to evaluate basic (b-), instrumental (i-), and advanced (a-) ADL called the Brussels Integrated Activities of Daily Living Inventory (BIA). At the geriatric day hospital of the University Hospital Brussels (Belgium) older persons (65+) labelled as Cognitively Healthy Persons (CHP) ( = 47), having a Mild Cognitive Impairment (MCI) ( = 39), and having Alzheimer's disease (AD) ( = 44) underwent a diagnostic procedure for neurocognitive disorders. Additionally, the BIA was carried out. An exploration using both (cumulative) logistic regressions and conditional inference trees aimed to select the most informative scales to discriminate between the HCP, persons with MCI and AD. The distinction between CHP and MCI and between MCI and AD was moderately successful with the i-ADLs, in addition to age. Therefore, it is advisable to conduct a multidomain assessment in which the i-ADL could serve as non-invasive and non-time-consuming screening, while the BIA might be useful for diagnostics and disease management.

摘要

日常生活活动能力(ADL)评估对于确保神经认知障碍的早期准确诊断至关重要。不幸的是,最常见的 ADL 工具在诊断过程中的使用受到限制。因此,我们着手验证一种用于评估基本(b-)、工具(i-)和高级(a-)ADL 的工具,称为布鲁塞尔综合日常生活活动能力量表(BIA)。在比利时布鲁塞尔大学医院的老年日医院,被标记为认知健康人(CHP)(=47)、有轻度认知障碍(MCI)(=39)和有阿尔茨海默病(AD)(=44)的老年人接受了神经认知障碍的诊断程序。此外,还进行了 BIA 测试。使用(累积)逻辑回归和条件推断树进行的探索旨在选择最具信息量的量表来区分 CHP、MCI 和 AD 患者。除了年龄外,i-ADL 可以成功地将 CHP 与 MCI 和 MCI 与 AD 区分开来。因此,建议进行多领域评估,其中 i-ADL 可以作为非侵入性和非耗时的筛查,而 BIA 可能有助于诊断和疾病管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ee/8583568/656c7b133be7/ijerph-18-11623-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ee/8583568/3b8f9cd599b0/ijerph-18-11623-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ee/8583568/656c7b133be7/ijerph-18-11623-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ee/8583568/3b8f9cd599b0/ijerph-18-11623-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ee/8583568/656c7b133be7/ijerph-18-11623-g002.jpg

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