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: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-01 至 2028-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10844667
• 关键词: Acceleration; Administrative Supplement; Alzheimer' s Disease; Alzheimer' s disease related dementia; Attitude; Biological Markers; Classification; Clinical; Cognitive; Collaborations; Communities; Complex; Data; Dementia; Detection; Deterioration; Digital biomarker; Early identification; Elderly; Evaluation; Funding; Grant; Health; Health Technology; Impaired cognition; Kansas; Knowledge; Life; Measures; Methods; Monitor; Neuropsychology; Parents; Participant; Phenotype; Prevention; Research; Resources; Risk; Scientific Advances and Accomplishments; Symptoms; Universities; clinical practice; clinical translation; clinically relevant; cognitive change; cognitive function; digital; digital health; digital measure; digital technology; follow-up; functional decline; health disparity; mild cognitive impairment; parent grant; predictive modeling; prevent; prospective; response; social

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.

项目摘要 - 用于RAMS研究的行政补充（R01AG082251； MPIS：CHUNG和CHUNG和 Sargent） 此要求对PA-20-272响应行政补充。父母研究的摘要： 家长研究（R01AG082251），或“检测认知能力下降的寿命和活动数字标记 在居住在社区的老年人中：公羊研究”是一项研究，旨在发展敏感，实用， 以及可以用作临床相关的生态可接受的寿命流动性（LSM）数字指标 随后居住的老年人认知下降的标志。功能下降的标志 在阿尔茨海默氏病和相关痴呆症（ADRD）的临床症状之前开始几年。至关重要 尽早捕获这些功能变化以在症状出现之前进行干预以防止进一步 恶化。评估认知变化并检测到轻度认知障碍的资源 （MCI）和ADRD在健康差异的老年人中受到限制。基于数字技术的 评估认知复杂活动（例如LSM）有可能确定有风险的人 认知能力下降。基于A 基线时神经心理电池，预计将进行3年收集7天的公羊 每6个月进行数据和神经心理学评估。具体目的是（1）比较基线和 CN和MCI组之间RAMS测量的纵向轨迹，并确定社会的影响 公羊指标和认知功能的健康因素； （2）确定对CN和CN进行分类的RAM指标 MCI组在基线处，并评估RAMS指标预测MCI和MCI随后发作的能力 痴呆症在三年内； （3）评估老年人参加数字卫生技术的关注 监测认知能力下降的风险。行政补充摘要：要求 行政补充资金支持有针对性的机会，将基准ADRD生物标志物包括在 家长研究。这笔资金将使我们的团队可以将研究RAMS数字措施与已建立的研究进行比较 ADRD标记。添加ADRD生物标志物将加强研究预测模型，允许深入 通过其他ADRD预测模型来验证表型并验证RAMS数字预测模型。发现 从基线ADRD生物标志物将推进科学知识，并加速翻译 临床有意义的数字措施进入临床实践，以支持早期识别和预防 MCI向ADRD的发展。我们已经考虑将ADRD生物标志物措施纳入父母赠款 （R01AG08225），但与堪萨斯大学（KU）没有建立的工作关系 阿尔茨海默氏病研究中心（ADRC）生物标志物核心直到赠款提交后。 KU ADRC协作指导了方法，并提供了进行生物标志物分析的材料 在此行政补充中提出了建议。因此，行政补充为我们的团队提供了 有针对性的机会将ADRD生物标志物包括在父母研究中。