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相关概念视频

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
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Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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生物标志物 生物标志物

Anna Brugulat-Serrat1,2,3,4,5, Elena Tsoy6,7, Gonzalo Sánchez-Benavides3,8,9

  • 1Faculty of Medicine, University of Vic-Central University of Catalonia (UVic-UCC), Vic/Manresa, Catalonia, Spain.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
PubMed
概括
此摘要是机器生成的。

基于平板电脑的TabCAT Favorites测试显示,它有望在没有认知障碍的个体中检测早期阿尔茨海默病 (AD) 病理. 这种敏感的情节性记忆测试可以识别与AD生物标志物相关的微妙认知变化,并预测未来的临床进展.

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科学领域:

  • 神经学 神经学
  • 神经科学是一个神经科学.
  • 生物标志物 生物标志物

背景情况:

  • 敏感记忆测试对于早期检测阿尔茨海默病 (AD) 病理在认知不受损 (CU) 个体至关重要.
  • 该EPAD纵向队列研究 (LCS) 为本次调查提供了一个大型跨国样本.
  • 调查早期的AD变化需要对微妙记忆障碍敏感的方法.

研究的目的:

  • 评估计算机化情节性记忆测试 (TabCAT最爱) 与CU个体的AD脑脊液 (CSF) 生物标志物状态之间的关联.
  • 评估TabCAT最爱测试对AD连续性未来临床进展的预测价值.
  • 为了比较TabCAT最喜欢的实用性与RBANS记忆指数 (RBANS-MI) 在检测早期AD相关的认知变化.

主要方法:

  • 从EPAD LCS中分析了727个CU个体,这些个体具有可用的TabCAT Favorites性能和CSF生物标志物.
  • 多项逻辑回归检查了记忆表现和AD生物标志物 (ATN) 阶段之间的关联.
  • 考克斯的比例危险模型评估了临床痴呆症评分 (CDR) 评分变化的预测,使用最佳的最爱切线.

主要成果:

  • 较差的TabCAT最爱表现与A+T+生物标志物状态的可能性更高有关 (OR=0.92,p=.030).
  • 在RBANS-MI和ATN状态之间没有发现显著的关联.
  • 在A+T+个体中,TabCAT Favorites在预测A+T+个体中CDR>0的进展方面表现出了歧视性有效性 (p=.014).

结论:

  • 基于平板电脑的TabCAT Favorites测试是检测早期AD连续性的认知变化的一个敏感工具.
  • TabCAT Favorites为临床和研究应用提供了传统情节性记忆测试的有价值的替代方案.
  • 这种计算机化测试有助于识别患有早期AD病理的个体,并预测认知能力下降.