Latest Coronavirus News
WEDNESDAY, April 20, 2022
But during the pandemic, researchers have also investigated the ability of smart watches to help detect COVID-19 or provide data on recovery.
The latest study uses several measures of heart rate data to help track the progression of symptoms in someone who has the coronavirus and to show how sick that person becomes while ill.
In the study, fitness trackers detected that COVID-19 dampened biological timekeeping signals, said co-author Daniel Forger, a mathematics professor at the University of Michigan, in Ann Arbor. The researchers also found signs of changes in how a person's heart rate responds to activity, altered resting heart rate and stress signals.
"Most people using this data think about heart rate as one number, but heart rate is this vital sign that reflects so many different physiological processes," Forger said. "That's what our goal is as mathematicians, can we take this one string of numbers, all these heartbeats, with all the noise and everything and say something about different physiological signals?"
While past research has included working to understand disease through wearable heart rate data, for this effort the researchers focused on breaking down the heart rate signal into parts.
The team used data from the 2019 and 2020 cohorts of the Intern Health Study, which follows physicians during their first year of residency, and the Roadmap College Student Data Set, which looked at student health and well-being during the 2020-2021 academic year. Students in that study wore Fitbits and self-reported COVID-19 diagnosis and symptoms.
This new study included 43 medical interns and 72 undergraduate and graduate students who had a positive COVID-19 test. They had been wearing their fitness trackers 50 days before symptoms and 14 days after.
As COVID-19 symptoms started, individuals had increased "circadian phase uncertainty," which is the body's inability to time daily events. That may correspond to early signs of infection, the study authors said.
Besides affecting heart rate, the body's circadian clock regulates wake-sleep patterns, temperature and more.
"There's actually interesting animal work showing that circadian rhythms become blunted around the time of infection," Forger said. "So it makes physiological sense. In your body, you have these big daily variations, but if you're sick, your body may not want you to have such big variations. It may want to just shut that timekeeping off."
The work establishes algorithms that can be used to understand how an illness impacts heart rate physiology, according to the study.
The algorithms are good enough now to really be able to give a larger picture of health, Forger said, which may help medical professionals triage patients and make more informed decisions.
"I think now that we just have a better understanding of these parameter changes over time, it just really sets the stage for future real-time detection of disease," said lead author Caleb Mayer, a doctoral student in mathematics at the University of Michigan. "We're not there yet, but I think breaking down the heart rate signal into all these different systems is really a necessary step toward that goal."
These wearables are now so common, and the number of people using them is only going to grow in the coming years, said Dr. Matthew Martinez, director of Atlantic Health System Sports Cardiology at Morristown Medical Center in New Jersey and past chair of the American College of Cardiology Sports and Exercise Cardiology Council.
Martinez, who was not involved in this study, said he often sees patients who provide him with a multitude of data from their trackers.
"I think first it's really important for people to continue to take ownership for their own health care," he said.
Martinez added some caveats to relying on this information. For one thing, the medical community will need to determine what data might be valuable.
He said he could see value in being able to monitor someone's health information and also in gathering data for those who may be unable to easily go to the doctor in person.
"I also like the ability to be able to track folks in their usual environment, so I can get a better sense of that. And it also allows for a more affordable, real-life view of what's happening for patients," Martinez said.
Limitations of the study were that it doesn't consider influenza-like illnesses and didn't account for other factors such as age, weight, gender or that the data were taken during a time when flu or other disease transmission was also high.
The findings were published April 19 in Cell Reports Medicine.
SOURCES: Daniel Forger, PhD, professor, department of mathematics and research professor, department of computational medicine and bioinformatics, University of Michigan, Ann Arbor, Mich.; Caleb Mayer, PhD student, department of mathematics, University of Michigan, Ann Arbor, Mich.; Matthew Martinez, MD, past chair, American College of Cardiology Sports and Exercise Cardiology Council, and director, Atlantic Health System Sports Cardiology, Morristown Medical Center, Morristown, N.J.; Cell Reports Medicine, April 19, 2022
Copyright © 2021 HealthDay. All rights reserved.