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Administrative Supplement: Life-Space and Activity Digital Markers for Detection of Cognitive Decline in Community-Dwelling Older Adults: The RAMS Study

Administrative Supplement: Life-Space and Activity Digital Markers for Detection of Cognitive Decline in Community-Dwelling Older Adults: The RAMS Study
行政补充:用于检测社区老年人认知衰退的生活空间和活动数字标记:RAMS 研究
批准号:
10844667
负责人:
Jane Chung
金额:
$24.85万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-04-01 至 2028-03-31

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中文摘要
翻译
项目摘要--公羊研究行政补编(R01AG082251;MPIS:Chung和 萨金特) 这项行政补编请求是对PA-20-272的回应。家长研究综述: 家长研究(R01AG082251),或用于检测认知下降的生活空间和活动数字标记物 在社区居住的老年人:公羊研究“是一项旨在开发敏感的,实用的, 和生态上可接受的生活空间移动性(LSM)数字指标,可用作临床相关 居住在社区的老年人随后认知能力下降的标志。功能衰退的标志物 在阿尔茨海默病和相关痴呆症(ADRD)临床症状出现前几年开始。这是至关重要的 尽早捕捉到这些功能变化,在症状出现之前进行干预,防止进一步 恶化。评估认知变化并检测进展为轻度认知障碍的资源 (MCI)和ADRD在健康差距较大的老年人中有限。以数字技术为基础 对认知复杂活动的评估,如LSM,有可能确定那些处于 认知能力下降。参与者被分类为认知正常(CN;n=157)或认知障碍(MCI)(n=157 神经心理学电池在基线水平,并将进行3年的前瞻性跟踪,以收集7天公羊 每6个月进行一次数据和神经心理评估。具体目标是(1)比较基线和 RAMS的纵向轨迹衡量CN和MCI群体之间并确定社会影响 健康因素对RAMS指标和认知功能的影响;(2)确定对CN和 对MCI患者进行基线分组,并评估RAMS指标预测MCI和 (3)评估老年人对数字健康技术的态度 监测认知能力下降的风险。行政副刊摘要:请求 行政补充资金支持有针对性的机会将基线ADRD生物标记物纳入 家长研究。这笔资金将使我们的团队能够将研究公羊的数字测量与现有的 ADRD标记。添加ADRD生物标志物将加强研究预测模型,允许深入 表型,并与其他ADRD预测模型验证RAMS数字预测模型。调查结果 在基线的基础上,ADRD生物标志物将促进科学知识的进步,并加速 将具有临床意义的数字化措施纳入临床实践,以支持早期识别和预防 MCI进展为ADRD。我们曾考虑将ADRD生物标记物措施纳入母基金 (R01AG08225),但与堪萨斯大学(KU)没有既定的工作关系 阿尔茨海默病研究中心(ADRC)的生物标志物核心,直到拨款提交之后。三叉戟大学 ADRC的合作指导了方法,并提供了进行生物标志物分析的材料 在本行政副刊中提出。因此,行政副刊为我们的团队提供了一个 有针对性的机会将ADRD生物标记物包括在母公司研究中,这是以前没有的。
英文摘要
Project Summary - for Administrative Supplement to the RAMS Study (R01AG082251; MPIs: Chung and Sargent) This request for an administrative supplement is in response to PA-20-272. Summary of Parent Study: The parent study (R01AG082251), or the “Life-space and Activity Digital Markers for Detection of Cognitive Decline in Community-Dwelling Older Adults: The RAMS Study,” is a study that aims to develop sensitive, practical, and ecologically acceptable life-space mobility (LSM) digital indicators that could be used as clinically relevant markers of subsequent cognitive decline among community-dwelling older adults. Markers of functional decline begin years before clinical symptoms of Alzheimer’s disease and related dementias (ADRD). It is essential to capture these functional changes as early as possible to intervene before symptoms arise to prevent further deterioration. Resources to assess cognitive changes and detect the progression to mild cognitive impairment (MCI) and ADRD are limited among older adults with health disparities. The digital technology-based assessment of cognitively complex activities, such as LSM, has the potential to identify those at risk for cognitive decline. Participants are classified as cognitively normal (CN; n=157) or MCI (n=157) based on a neuropsychological battery at baseline and will be prospectively followed up for 3 years to collect 7-day RAMS data and neuropsychological evaluations every 6 months. The specific aims are to (1) Compare baseline and longitudinal trajectories of RAMS measures between CN and MCI groups and determine the impact of social health factors on RAMS indicators and cognitive function; (2) Determine RAMS indicators that classify CN and MCI groups at baseline and evaluate the ability of RAMS indicators to predict the subsequent onset of MCI and dementia over a 3-year period; and (3) Evaluate older adults’ attitudes towards digital health technology for monitoring risks of cognitive decline. Summary of Administrative Supplement: The request for the administrative supplement funding supports a targeted opportunity to include baseline ADRD biomarkers in the parent study. This funding will allow our team to compare the study RAMS digital measures with established ADRD markers. Adding the ADRD biomarkers will strengthen the study prediction model, allow for deep phenotyping, and validate the RAMS digital prediction model with other ADRD prediction models. The findings from the baseline ADRD biomarkers will advance the scientific knowledge and accelerate the translation of clinically meaningful digital measures into clinical practice to support early identification and prevention of the progression of MCI to ADRD. We had considered incorporating ADRD biomarker measures in the parent grant (R01AG08225) but did not have an established working relationship with the University of Kansas (KU) Alzheimer’s Disease Research Center (ADRC) Biomarker Core until after the grant was submitted. The KU ADRC collaboration has guided the methods and provided the materials to conduct the biomarker analysis proposed in this administrative supplement. Therefore, the administrative supplement provides our team with a targeted opportunity to include ADRD biomarkers in the parent study that were not previously available.
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会议论文
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Life-Space and Activity Digital Markers for Detection of Cognitive Decline in Community-Dwelling Older Adults: The RAMS Study
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