• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

日常认知测试分数与阿尔茨海默病进展的相关性:一项数据分析研究。

The correlation of everyday cognition test scores and the progression of Alzheimer's disease: a data analytics study.

作者信息

Thabtah Fadi, Spencer Robinson, Ye Yongsheng

机构信息

Digital Technologies, Manukau Institute of Technology, Auckland, New Zealand.

出版信息

Health Inf Sci Syst. 2020 Jul 23;8(1):24. doi: 10.1007/s13755-020-00114-8. eCollection 2020 Dec.

DOI:10.1007/s13755-020-00114-8
PMID:32765845
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7378134/
Abstract

The process of diagnosing dementia conditions, especially Alzheimer's disease, and the cognitive tests that are involved in this process, are important areas of study. Everyday Cognition (ECog) is one test that can be used as part of Alzheimer's disease diagnosis to measure cognitive decline in different areas. In this study, we investigate two versions of the ECog test: the study partner reported version (ECogSP), and the patient reported version (ECogPT). We compare these, using statistical analysis and machine learning techniques, to create classification models to demonstrate the progression in ECog scores over time by using the Alzheimer's Disease Neuroimaging Initiative longitudinal data repository (ADNI); participants are classed with having normal cognition, mild cognitive impairment, or Alzheimer's disease. We found that participants who are diagnosed with Alzheimer's disease at baseline, or during a subsequent visit, tend to self-report consistent ECogPT scores over time indicating no change in cognitive ability. However, study partners tend to report higher and increasing ECogSP scores on behalf of participants in the same diagnosis category; this would indicate a degradation in the participant's cognitive ability over time, consistent with the progress of Alzheimer's disease.

摘要

痴呆症(尤其是阿尔茨海默病)的诊断过程以及该过程中涉及的认知测试,是重要的研究领域。日常认知(ECog)测试是可用于阿尔茨海默病诊断、以测量不同领域认知衰退情况的一项测试。在本研究中,我们调查了ECog测试的两个版本:研究伙伴报告版(ECogSP)和患者报告版(ECogPT)。我们利用统计分析和机器学习技术对这两个版本进行比较,以创建分类模型,通过使用阿尔茨海默病神经影像倡议纵向数据存储库(ADNI)来展示ECog分数随时间的变化情况;参与者被分类为认知正常、轻度认知障碍或患有阿尔茨海默病。我们发现,在基线时或后续就诊时被诊断为患有阿尔茨海默病的参与者,其ECogPT分数往往会随着时间的推移自我报告保持一致,表明认知能力没有变化。然而,研究伙伴往往会代表处于相同诊断类别的参与者报告更高且不断增加的ECogSP分数;这表明参与者的认知能力会随着时间的推移而下降,与阿尔茨海默病的进展情况一致。

相似文献

1
The correlation of everyday cognition test scores and the progression of Alzheimer's disease: a data analytics study.日常认知测试分数与阿尔茨海默病进展的相关性:一项数据分析研究。
Health Inf Sci Syst. 2020 Jul 23;8(1):24. doi: 10.1007/s13755-020-00114-8. eCollection 2020 Dec.
2
Participant and study partner prediction and identification of cognitive impairment in preclinical Alzheimer's disease: study partner vs. participant accuracy.临床前阿尔茨海默病认知障碍的参与者和研究伙伴预测和识别:研究伙伴与参与者的准确性。
Alzheimers Res Ther. 2019 Oct 18;11(1):85. doi: 10.1186/s13195-019-0539-3.
3
Study partner-reported decline identifies cognitive decline and dementia risk.研究伙伴报告的衰退可识别认知能力下降和痴呆风险。
Ann Clin Transl Neurol. 2019 Dec;6(12):2448-2459. doi: 10.1002/acn3.50938. Epub 2019 Nov 13.
4
Cerebrospinal fluid neurogranin: relation to cognition and neurodegeneration in Alzheimer's disease.脑脊液神经颗粒蛋白:与阿尔茨海默病认知及神经退行性变的关系
Brain. 2015 Nov;138(Pt 11):3373-85. doi: 10.1093/brain/awv267. Epub 2015 Sep 15.
5
Goal-oriented cognitive rehabilitation for early-stage Alzheimer's and related dementias: the GREAT RCT.以目标为导向的认知康复治疗早期阿尔茨海默病及相关痴呆: GREAT RCT 研究。
Health Technol Assess. 2019 Mar;23(10):1-242. doi: 10.3310/hta23100.
6
Measuring Subjective Cognitive Decline in Older Adults: Harmonization Between the Cognitive Change Index and the Measurement of Everyday Cognition Instruments.测量老年人的主观认知下降:认知变化指数与日常认知工具测量之间的协调。
J Alzheimers Dis. 2022;87(2):761-769. doi: 10.3233/JAD-215388.
7
8
Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.利用高维机器学习方法在影像数据库中估计阿尔茨海默病的解剖学风险因素。
Neuroimage. 2018 Dec;183:401-411. doi: 10.1016/j.neuroimage.2018.08.040. Epub 2018 Aug 18.
9
Cognitive Impairment Precedes and Predicts Functional Impairment in Mild Alzheimer's Disease.在轻度阿尔茨海默病中,认知障碍先于功能障碍并可预测功能障碍。
J Alzheimers Dis. 2015;47(1):205-14. doi: 10.3233/JAD-142508.
10
Utility of the Spanish version of the Everyday Cognition scale in the diagnosis of mild cognitive impairment and mild dementia in an older cohort from the Argentina-ADNI.《日常认知量表西班牙语版在阿根廷-ADNI 老年队列中轻度认知障碍和轻度痴呆诊断中的效用》
Aging Clin Exp Res. 2018 Oct;30(10):1167-1176. doi: 10.1007/s40520-018-0899-8. Epub 2018 Jan 29.

引用本文的文献

1
Comprehensive Anatomical Staging Predicts Clinical Progression in Mild Cognitive Impairment: A Data-Driven Approach.综合解剖分期预测轻度认知障碍的临床进展:一种数据驱动的方法。
Int J Mol Sci. 2025 Jun 9;26(12):5514. doi: 10.3390/ijms26125514.
2
Predicting and Evaluating Cognitive Status in Aging Populations Using Decision Tree Models.使用决策树模型预测和评估老年人群的认知状态。
Am J Alzheimers Dis Other Demen. 2025 Jan-Dec;40:15333175251339730. doi: 10.1177/15333175251339730. Epub 2025 May 5.
3
Performance of a Short Version of the Everyday Cognition Scale (ECog-12) to Detect Cognitive Impairment.日常认知量表(ECog-12)短版检测认知障碍的性能。
J Prev Alzheimers Dis. 2024;11(6):1741-1750. doi: 10.14283/jpad.2024.109.
4
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data.基于电子健康记录数据,使用两步互联机器学习模型对肺栓塞诊断进行高效管理。
Health Inf Sci Syst. 2024 Mar 6;12(1):17. doi: 10.1007/s13755-024-00276-9. eCollection 2024 Dec.
5
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review.用于辅助神经退行性疾病诊断的临床可及性检查的多模态学习:一项范围综述
Health Inf Sci Syst. 2023 Jul 22;11(1):32. doi: 10.1007/s13755-023-00231-0. eCollection 2023 Dec.
6
Microstate feature fusion for distinguishing AD from MCI.用于区分阿尔茨海默病与轻度认知障碍的微状态特征融合
Health Inf Sci Syst. 2022 Jul 26;10(1):16. doi: 10.1007/s13755-022-00186-8. eCollection 2022 Dec.
7
The Road to Personalized Medicine in Alzheimer's Disease: The Use of Artificial Intelligence.阿尔茨海默病个性化医疗之路:人工智能的应用
Biomedicines. 2022 Jan 29;10(2):315. doi: 10.3390/biomedicines10020315.
8
Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer's disease.预测阿尔茨海默病淀粉样蛋白阳性患者的进展和认知能力下降。
Alzheimers Res Ther. 2021 Sep 6;13(1):151. doi: 10.1186/s13195-021-00886-5.

本文引用的文献

1
Multicenter Validation of an MMSE-MoCA Conversion Table.简易精神状态检查表-蒙特利尔认知评估量表转换表的多中心验证
J Am Geriatr Soc. 2017 May;65(5):1067-1072. doi: 10.1111/jgs.14779. Epub 2017 Feb 15.
2
Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease.在阿尔茨海默病中,雷伊听觉词语学习测试分数可通过全脑磁共振成像预测。
Neuroimage Clin. 2016 Dec 18;13:415-427. doi: 10.1016/j.nicl.2016.12.011. eCollection 2017.
3
How Do Scores on the ADAS-Cog, MMSE, and CDR-SOB Correspond?阿尔茨海默病协作研究认知量表(ADAS-Cog)、简易精神状态检查表(MMSE)和临床痴呆评定量表-总和版(CDR-SOB)的评分如何对应?
Clin Neuropsychol. 2015;29(7):1002-9. doi: 10.1080/13854046.2015.1119312. Epub 2015 Nov 30.
4
Visual rating and volumetric measurement of medial temporal atrophy in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort: baseline diagnosis and the prediction of MCI outcome.阿尔茨海默病神经影像倡议(ADNI)队列中内侧颞叶萎缩的视觉评分和体积测量:基线诊断及轻度认知障碍结局预测
Int J Geriatr Psychiatry. 2015 Feb;30(2):192-200. doi: 10.1002/gps.4126. Epub 2014 May 12.
5
Modeling of Functional Assessment Questionnaire (FAQ) as continuous bounded data from the ADNI database.基于 ADNI 数据库中连续有界数据的功能评估问卷(FAQ)建模。
J Pharmacokinet Pharmacodyn. 2012 Dec;39(6):601-18. doi: 10.1007/s10928-012-9271-3. Epub 2012 Sep 19.
6
Predicting Alzheimer's disease: neuropsychological tests, self-reports, and informant reports of cognitive difficulties.预测阿尔茨海默病:神经心理学测试、自我报告和认知困难报告者报告。
J Am Geriatr Soc. 2012 Jun;60(6):1128-34. doi: 10.1111/j.1532-5415.2012.03956.x.
7
The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.阿尔茨海默病神经影像学倡议:成立以来发表论文的回顾。
Alzheimers Dement. 2012 Feb;8(1 Suppl):S1-68. doi: 10.1016/j.jalz.2011.09.172. Epub 2011 Nov 2.
8
Serial MRI and CSF biomarkers in normal aging, MCI, and AD.正常衰老、MCI 和 AD 的连续 MRI 和 CSF 生物标志物。
Neurology. 2010 Jul 13;75(2):143-51. doi: 10.1212/WNL.0b013e3181e7ca82.
9
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification.基于 MRI、CSF 生物标志物和模式分类预测 MCI 向 AD 的转化。
Neurobiol Aging. 2011 Dec;32(12):2322.e19-27. doi: 10.1016/j.neurobiolaging.2010.05.023. Epub 2010 Jul 1.
10
Automated MRI measures predict progression to Alzheimer's disease.自动化 MRI 测量可预测阿尔茨海默病的进展。
Neurobiol Aging. 2010 Aug;31(8):1364-74. doi: 10.1016/j.neurobiolaging.2010.04.023. Epub 2010 Jun 8.