TY - JOUR AU - Piau, Antoine AU - Wild, Katherine AU - Mattek, Nora AU - Kaye, Jeffrey PY - 2019 DA - 2019/08/30 TI -现实生活中基于家庭的认知功能监测的数字生物标志物技术的现状以及对临床护理的影响:系统综述JO - J医学Internet Res SP - e12785 VL - 21 IS - 8 KW -技术KW -阿尔茨海默病KW -认知障碍KW -痴呆症KW -老年人KW -数字生物标志物KW -数字表型KW -数字健康AB -背景:在挑战痴呆症护理进展的领域中，评估随着时间的推移症状的变化。数字生物标记物被定义为通过数字设备(如嵌入式环境传感器或可穿戴设备)收集和测量的客观、可量化、生理和行为数据。数字生物标记物提供了另一种评估方法，因为它们允许客观、生态有效和长期随访，并进行持续评估。尽管有许多可以应用的传感器和设备，但目前还没有公认的数字生物标志物标准，也没有全面的基于证据的结果，这些数字生物标志物可能被证明是最有效的。目的:在这篇综述中，我们试图回答以下问题:(1)在现实生活中，基于家庭的技术用于轻度认知障碍(MCI)或痴呆症的早期检测和随访的证据是什么?(2)临床医生在他们的日常实践中可能期望什么转变?方法:系统检索PubMed、Cochrane和Scopus数据库中自创刊以来至2018年7月发表的论文。我们搜索了在非临床、家庭环境中应用数字生物标志物技术进行轻度认知障碍或轻度阿尔茨海默病随访和检测的研究。所有包括以下内容的研究都进行了检查:居住在社区的老年人(65岁或以上); cognitively healthy participants or those presenting with cognitive decline, from subjective cognitive complaints to early Alzheimer disease; a focus on home-based evaluation for noninterventional follow-up; and remote diagnosis of cognitive deterioration. Results: An initial sample of 4811 English-language papers were retrieved. After screening and review, 26 studies were eligible for inclusion in the review. These studies ranged from 12 to 279 participants and lasted between 3 days to 3.6 years. Most common reasons for exclusion were as follows: inappropriate setting (eg, hospital setting), intervention (eg, drugs and rehabilitation), or population (eg, psychiatry and Parkinson disease). We summarized these studies into four groups, accounting for overlap and based on the proposed technological solutions, to extract relevant data: (1) data from dedicated embedded or passive sensors, (2) data from dedicated wearable sensors, (3) data from dedicated or purposive technological solutions (eg, games or surveys), and (4) data derived from use of nondedicated technological solutions (eg, computer mouse movements). Conclusions: Few publications dealt with home-based, real-life evaluations. Most technologies were far removed from everyday life experiences and were not mature enough for use under nonoptimal or uncontrolled conditions. Evidence available from embedded passive sensors represents the most relatively mature research area, suggesting that some of these solutions could be proposed to larger populations in the coming decade. The clinical and research communities would benefit from increasing attention to these technologies going forward. SN - 1438-8871 UR - //www.mybigtv.com/2019/8/e12785/ UR - https://doi.org/10.2196/12785 UR - http://www.ncbi.nlm.nih.gov/pubmed/31471958 DO - 10.2196/12785 ID - info:doi/10.2196/12785 ER -