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解锁见解:通过完全数字化的智能手机平台“我的心脏计数心血管健康研究”,从最大规模的6分钟步行测试数据集中得出的临床关联。

Unlocking insights: Clinical associations from the largest 6-minute walk test collection via the my Heart Counts Cardiovascular Health Study, a fully digital smartphone platform.

作者信息

Kim Daniel Seung, Schuetz Narayan, Johnson Anders, Tolas Alexander, Mantena Sriya, O'Sullivan Jack W, Hershman Steven G, Myers Jonathan N, Christle Jeffrey W, Oppezzo Marily, Linos Eleni, Rodriguez Fatima, Mattsson C Mikael, Wheeler Matthew T, King Abby C, Taylor Herman A, Ashley Euan A

机构信息

Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Human Performance Alliance, Stanford University School of Medicine, Stanford, CA 94305, USA; Center for Digital Health, Stanford University School of Medicine, Stanford, CA 94305, USA; Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.

Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.

出版信息

Prog Cardiovasc Dis. 2025 Mar-Apr;89:45-52. doi: 10.1016/j.pcad.2025.01.010. Epub 2025 Jan 28.

DOI:10.1016/j.pcad.2025.01.010
PMID:39884325
Abstract

BACKGROUND

The six-minute walk test (6MWT) is a prognostic sub-maximal exercise test used clinically as a measure of functional capacity. With the emergence of advanced sensors, 6MWTs are being performed remotely via smartphones and other devices. The My Heart Counts Cardiovascular Health Study is a smartphone application that serves as a digital platform for studies of human cardiovascular health, and has been used to perform 30,475 6MWTs on 8922 unique participants.

OBJECTIVE

As our 30,475 6MWTs represent the largest such collection of data available, we sought to identify associations with measured demographic and clinical variables with 6MWT distance at enrollment and separately determine if use of the My Heart Counts smartphone application led to changes in 6MWT distance.

METHODS AND RESULTS

We present the public data release of our 30,475 6MWTs and the launch of a webpage-based data viewer of summary-level statistics, to compare the functional capacity of an individual by their age, gender, height, weight, and disease status (https://mhc-6mwts.streamlit.app). Using multivariable regression, we report associations of demographic and clinical variables with baseline 6MWT distance (N = 3606), validating prior associations with age, male gender, height, and baseline physical activity level with 6MWT distance. We also report associations of 6MWT baseline distance with employment status (+12.4 m ±4.9 m, P = 0.011) and feeling depressed (-3.65 m, ±0.79 m, P < 0.001). We separately found that cardiovascular disease status was significantly associated with decreased 6MWT distance for atrial fibrillation (-24.9 m ±7.8 m, P = 0.0013), peripheral artery disease (-41.7 m ±12.5 m, P < 0.001), and pulmonary arterial hypertension (-76.3 m ±24.8 m, P = 0.0022). Heart failure was associated with decreased 6MWT distance but was not statistically significant (-25.5 m ±14.5 m, P = 0.078). In a subset of participants who conducted repeat 6MWTs separated by at least 1 week but no greater than 3 months (N = 1129), we found that use of the My Heart Counts app was associated with a statistically significant increase in 6MWT distance (+17.5 m ±7.85 m, P < 0.001).

CONCLUSIONS

We validate previously identified associations from clinic-performed 6MWTs, demonstrating the utility of a mobile method in collecting 6MWT data for clinicians and researchers. We also demonstrate that use of the My Heart Counts app is associated with small, but significant increases in 6MWT distance. Given the importance of 6MWTs in assessment of functional capacity, our publicly-available data will serve an important purpose as a health and disease-specific reference for investigators worldwide.

摘要

背景

六分钟步行试验(6MWT)是一种用于临床评估功能能力的次极量运动预后试验。随着先进传感器的出现,6MWT可通过智能手机和其他设备远程进行。“我的心脏计数”心血管健康研究是一款智能手机应用程序,作为研究人类心血管健康的数字平台,已用于对8922名独特参与者进行30475次6MWT。

目的

由于我们的30475次6MWT代表了现有的此类最大数据集,我们试图确定入组时测量的人口统计学和临床变量与6MWT距离之间的关联,并分别确定使用“我的心脏计数”智能手机应用程序是否会导致6MWT距离的变化。

方法与结果

我们公布了30475次6MWT的公共数据,并推出了一个基于网页的数据查看器,用于汇总统计数据,以根据年龄、性别、身高、体重和疾病状态比较个体的功能能力(https://mhc-6mwts.streamlit.app)。使用多变量回归,我们报告了人口统计学和临床变量与基线6MWT距离(N = 3606)之间的关联,验证了年龄、男性性别、身高和基线身体活动水平与6MWT距离之间的先前关联。我们还报告了6MWT基线距离与就业状态(+12.4米±4.9米,P = 0.011)和抑郁情绪(-3.65米,±0.79米,P < 0.001)之间的关联。我们分别发现,心血管疾病状态与房颤(-24.9米±7.8米,P = 0.0013)、外周动脉疾病(-41.7米±12.5米,P < 0.001)和肺动脉高压(-76.3米±24.8米,P = 0.0022)导致的6MWT距离显著降低相关。心力衰竭与6MWT距离降低相关,但无统计学意义(-25.5米±14.5米,P = 0.078)。在一组至少间隔1周但不超过3个月进行重复6MWT的参与者(N = 1129)中,我们发现使用“我的心脏计数”应用程序与6MWT距离的统计学显著增加相关(+17.5米±7.85米,P < 0.001)。

结论

我们验证了先前从临床进行的6MWT中确定的关联,证明了移动方法在为临床医生和研究人员收集6MWT数据方面的实用性。我们还证明,使用“我的心脏计数”应用程序与6MWT距离的小幅但显著增加相关。鉴于6MWT在评估功能能力方面的重要性,我们公开可用的数据将作为全球研究人员针对健康和疾病的重要参考依据。

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