Suppr超能文献

阿尔茨海默病患者组源自对重大疾病联盟数据集中认知测试结果的多变量分析。

Alzheimer's disease patient groups derived from a multivariate analysis of cognitive test outcomes in the Coalition Against Major Diseases dataset.

作者信息

Tishchenko Inna, Riveros Carlos, Moscato Pablo

机构信息

Information-Based Medicine Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; School of Electrical Engineering & Computer Science, The University of Newcastle, Callaghan, NSW, Australia; Information-Based Medicine Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; School of Electrical Engineering & Computer Science, The University of Newcastle, Callaghan, NSW, Australia.

Information-Based Medicine Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; CReDITSS Unit, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; Information-Based Medicine Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; CReDITSS Unit, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.

出版信息

Future Sci OA. 2016 Aug 19;2(3):FSO140. doi: 10.4155/fsoa-2016-0041. eCollection 2016 Sep.

Abstract

AIM

The mini-mental state examination, commonly used to measure cognitive impairment of Alzheimer's disease (AD) patients, consists of five test categories. The final score is calculated as their total sum, implying a loss of information.

MATERIALS & METHODS: In this study, we propose a new multivariate approach to address this issue.

RESULTS

We analyzed the current largest AD-related coalition against major diseases dataset comprising 3717 patients of interest. Our clustering approach revealed five groups of patients associated with distinct characteristics and prognosis. Interestingly, only three cognitive test categories significantly contribute to their determination: registration, attention and recall.

CONCLUSION

The insight that only these categories are critical for AD group determination may help to resolve the patients' educational background issue often discussed in relation to the mini-mental state examination assessment.

摘要

目的

常用于测量阿尔茨海默病(AD)患者认知障碍的简易精神状态检查表由五个测试类别组成。最终得分是这些类别的总和,这意味着信息丢失。

材料与方法

在本研究中,我们提出了一种新的多变量方法来解决这个问题。

结果

我们分析了目前最大的与AD相关的重大疾病联盟数据集,该数据集包含3717名感兴趣的患者。我们的聚类方法揭示了五组具有不同特征和预后的患者。有趣的是,只有三个认知测试类别对其判定有显著贡献:记录、注意力和回忆。

结论

只有这些类别对AD组判定至关重要这一见解,可能有助于解决在简易精神状态检查表评估中经常讨论的患者教育背景问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bf4/5137968/9badbd5eac33/fsoa-02-140-g1.jpg

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