Suppr超能文献

基于功能的血管性认知障碍严重程度评估。

Function-based dementia severity assessment for vascular cognitive impairment.

机构信息

Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan.

Department of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan.

出版信息

J Formos Med Assoc. 2021 Jan;120(1 Pt 2):533-541. doi: 10.1016/j.jfma.2020.07.001. Epub 2020 Jul 9.

Abstract

BACKGROUND/PURPOSES: Unimpaired activities of daily living (ADL) is essential for the diagnosis of normal cognition and mild cognitive impairment. However, diagnosis according to this concept is difficult to apply to patients comorbid with motor dysfunction. We aim to use a novel ADL questionnaire for operationally diagnosing unimpaired ADL in vascular cognitive impairment with no dementia (VCIND).

METHODS AND PARTICIPANTS

This was a retrospective cohort study with both cross-sectional and long-term follow-up analysis. Patients with cerebrovascular disease with normal cognition (CVDNC), VCIND, and vascular dementia (VaD) were analyzed. Cutoff scores for differentiating different stages of cognitive impairment were compared between the new History-based Artificial Intelligent ADL questionnaire (HAI-ADL) and other tools.

RESULTS

A total of 596 individuals were analyzed, including 40 CVDNC, 167 VCIND, 218 mild, 119 moderate, and 52 severe-dementia patients. The cutoff scores for determining unimpaired ADL in VCIND were 8.5, 3.5, 5, 100, and 60 in HAI-ADL, CDR-SB, IADL, BI, and CASI, respectively. HAI-ADL had the highest correlations with CDR-SB and the CDR staging system compared to other tools. Four models of progression rates from CVDNC/VCIND to VaD revealed it was much higher in the group with HAI-ADL > 8.5 compared to those with HAI-ADL≦8.5 with odds ratios of 3.75, 3.66, 3.31, and 2.77, respectively.

CONCLUSION

Our study showed that HAI-ADL provides an operational determinates unimpaired ADL which is necessary for the diagnosis of VCIND. The predictive value for progression to dementia was proved by a long-term follow-up analysis of the research cohort.

摘要

背景/目的:日常生活活动(ADL)不受影响对于正常认知和轻度认知障碍的诊断至关重要。然而,根据这一概念进行诊断对于同时患有运动功能障碍的患者来说难以实施。我们旨在使用一种新的 ADL 问卷,对无痴呆的血管性认知障碍(VCIND)患者进行操作性 ADL 不受影响的诊断。

方法和参与者

这是一项回顾性队列研究,同时进行了横断面和长期随访分析。对伴有认知正常的脑血管病(CVDNC)、VCIND 和血管性痴呆(VaD)的患者进行分析。比较新的基于病史的人工智能 ADL 问卷(HAI-ADL)和其他工具在区分不同认知障碍阶段的截断分数。

结果

共分析了 596 名患者,其中 40 名 CVDNC、167 名 VCIND、218 名轻度、119 名中度和 52 名重度痴呆患者。在 HAI-ADL、CDR-SB、IADL、BI 和 CASI 中,确定 VCIND 中 ADL 不受影响的截断分数分别为 8.5、3.5、5、100 和 60。与其他工具相比,HAI-ADL 与 CDR-SB 和 CDR 分期系统的相关性最高。从 CVDNC/VCIND 到 VaD 的四个进展率模型显示,HAI-ADL>8.5 组的进展率明显高于 HAI-ADL≦8.5 组,优势比分别为 3.75、3.66、3.31 和 2.77。

结论

我们的研究表明,HAI-ADL 提供了一种操作性的 ADL 不受影响的确定方法,这对于 VCIND 的诊断是必要的。通过对研究队列的长期随访分析,证明了其对痴呆进展的预测价值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验