老年体弱患者步行速度的连续数字监测[j]卡塔尔世界杯8强波胆分析非介入验证研究和纵向临床试验%A Mueller,Arne %A Hoefling,Holger Alfons %A Muaremi,Amir %A Praestgaard,Jens %A Walsh,Lorcan %A Bunte,Ola %A Huber,Roland Martin %A f rmetz,Julian %A Keppler,Alexander Martin %A Schieker,Matthias %A Böcker,Wolfgang %A Roubenoff,Ronenn %A Brachat,Sophie %A Rooks,Daniel S %A Clay, iuan +诺华生物医学研究所,瑞士巴塞尔,41 61 324 1111,ieuan.clay@novartis.com %K步态%K步行速度%K移动能力限制%K加速度计%K临床试验%K衰弱%K可穿戴电子设备%K算法%K开源数据%K数据收集%K数据集%D 2019 %7 27.11.2019 %9原始论文Mhealth Uhealth背景:数字技术和高级分析大大提高了我们捕获和解释患者健康相关数据的能力。然而,只有有限的数据和结果已经发表,证明了目标适应症的准确性,现实世界的可行性,或这些新方法的有效性和价值。目的:本研究旨在建立虚弱的老年肌肉减少症患者步行速度连续数字监测的准确性、可行性和有效性,并创建一个原始、衍生和参考数据的开源存储库,作为社区的资源。方法:本文描述的数据是作为2项临床研究的一部分收集的:一项独立的非介入性验证研究和一项针对老年肌肉减少症患者的2b期介入性临床试验。在这两项研究中,参与者都通过佩戴在腰上的惯性传感器进行监测。这项横断面、独立的验证研究收集了26名自然缓慢行走的老年受试者在诊所的一个单独地点的数据,旨在模拟现实世界的环境。在2b期介入性临床试验中,在全球32个地点招募了217名肌肉减少症患者,患者在就诊期间和两次就诊之间接受了25周的监测。结果:我们已经证明,我们的方法可以在独立验证研究中捕获虚弱慢行成人的临床步态速度,剩余标准误差为0.08 m / s,在介入性临床试验中,4米步行测试(4mWT)、6分钟步行测试(6MWT)和400米步行测试(400mWT)的标准步态速度评估中分别为0.08、0.09和0.07 m / s。 We demonstrated the feasibility of our approach by capturing 9668 patient-days of real-world data from 192 patients and 32 sites, as part of the interventional clinical trial. We derived inferred contextual information describing the length of a given walking bout and uncovered positive associations between the short 4mWT gait speed assessment and gait speed in bouts between 5 and 20 steps (correlation of 0.23) and longer 6MWT and 400mWT assessments with bouts of 80 to 640 steps (correlations of 0.48 and 0.59, respectively). Conclusions: This study showed, for the first time, accurate capture of real-world gait speed in slow-walking older adults with sarcopenia. We demonstrated the feasibility of long-term digital monitoring of mobility in geriatric populations, establishing that sufficient data can be collected to allow robust monitoring of gait behaviors outside the clinic, even in the absence of feedback or incentives. Using inferred context, we demonstrated the ecological validity of in-clinic gait assessments, describing positive associations between in-clinic performance and real-world walking behavior. We make all data available as an open source resource for the community, providing a basis for further study of the relationship between standardized physical performance assessment and real-world behavior and independence. %M 31774406 %R 10.2196/15191 %U http://mhealth.www.mybigtv.com/2019/11/e15191/ %U https://doi.org/10.2196/15191 %U http://www.ncbi.nlm.nih.gov/pubmed/31774406
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