By Maura Kinney-Johns Hopkins
While these sensors are generally marketed as daily step counters, the researchers believe they could potentially serve a greater purpose: supporting clinical care for patients with pulmonary arterial hypertension (PAH) and other chronic diseases.
“The purpose of this study was to show that clinically relevant metrics beyond daily step count can be derived from these wearable activity monitors,” says Zheng “Peter” Xu, a postdoctoral fellow for inHealth, a strategic initiative to advance precision medicine at Johns Hopkins University and first author of the study in Digital Medicine.
“Historically, remote monitoring of a patient’s physical status has been challenging. We wanted to meet that challenge and see what kind of untapped information is contained within these devices that could help us support patients with PAH.”
The Cleveland Clinic provided the research team with activity tracker-obtained data for 22 individuals with PAH who wore activity trackers between two clinic visits. At both clinic visits, Cleveland Clinic medical professionals recorded 26 health measurements of each participant, including health-related quality of life, heart rate measurements, and results from the commonly used aerobic capacity and endurance test known as the six-minute walk distance (6MWD) test.
Using the minute-to-minute step rate and heart rate data of each participant, the researchers ascertained several metrics broadly associated with physical health and cardiovascular function.
These included the distribution of heart rate and intensity and frequency of walking instances throughout each week, as well as results from an analog version of the 6MWD test that the team dubbed the “free-living six-minute walk distance” test. These data enabled the team to understand each participant’s health status and to identify subgroups among participants with similar metrics to one another.
To demonstrate that these data have potential for clinical use, the team also compared the activity-tracker metrics with the 26 health metrics recorded during both clinic visits—and found some unexpected correlations.
For example, an activity tracker-measured fitness assessment (based on step count and heart rate data) correlated with levels of clinically measured NT-proBNP, a blood biomarker used to assess risk of heart failure. Across the 22 participants, the research team found statistically significant differences in 18 of these metrics.
“Finding so many statistically significant differences in a relatively small cohort suggests to us that activity-tracker data may make it possible to identify surrogate markers of disease severity that can be monitored remotely,” says senior author Peter Searson, professor at the Johns Hopkins University Whiting School of Engineering. “These data could potentially contribute to the identification of patients who would benefit from more frequent clinic visits or specific medications.”
“We also believe that activity tracker-measured health parameters could serve as proxies for clinically measured health parameters of patients with chronic disease,” he adds.
Next, the research team is exploring whether these devices could support clinical care for patients with chronic obstructive pulmonary disease (COPD) and scleroderma. They will seek to determine whether signals derived from activity trackers can be used to predict the risk of a COPD flareup.
Source: Johns Hopkins University
Original Study DOI: 10.1038/s41746-022-00696-5
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This post was previously published on FUTURITY.ORG and is republished here under a Creative Commons license.
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