For many doctors, figuring out what caused a kid’s asthma attack means opening up regional air quality databases and applying a lot of guesswork.
While pollution from cars and other sources is known to trigger asthma in some children, there are a number of lesser-understood factors that also increase their risk – everything from viral infections to stress to playing soccer all day.
A team of University of Utah researchers has received a $5.5 million grant from the National Institutes of Health’s National Institute of Biomedical Imaging and Bioengineering to develop an informatics platform that will make it possible to crowdsource scientific data and, eventually, pinpoint the cause of a child’s wheezing.
“Retail is doing this already,” explains Julio Facelli, Ph.D., professor of biomedical informatics and an associate director at the Utah Center for Clinical and Translational Science (CCTS). “We’ll be using some of the same big data techniques but applying them to biomedical research, which is much more complex.”
Facelli, along with co-principal investigator Kathy Sward, Ph.D., R.N., associate professor of biomedical informatics research at the College of Nursing, is leading teams to create an Internet-based “infrastructure” that will enable kids with asthma, parents, doctors and researchers to feed real-time information into a comprehensive database.
“Pediatric asthma is complicated and we don’t fully understand how to control it,” Facelli says. “Our system will allow researchers worldwide unprecedented access to environmental exposure and other clinically relevant data, enabling them to answer questions they didn’t even know they could ask.”
The grant, a component of the Pediatric Research using Integrated Sensor Monitoring Systems (or PRISMS) program from the NIH NIBIB, will run for four years. Over that time, the team of researchers – and a group of between 10 and 20 Utah families – will test personal air quality monitors and create Web-based interfaces that could form the foundation of future pediatric asthma research.
“It’s not the information itself that’s the point of it,” Sward says. “It’s how the information flows and it is organized.”
The first year, researchers will focus on finding families willing to try out a series of air quality sensors and begin developing computer systems to process in real-time and integrate the new streams of information with clinical data. The second and third years will be spent refining the computer infrastructure – sensor connections and a website design — and developing other modes for inputting the data, including age-appropriate mobile apps. In the final year, the researchers plan to run a pilot study with Utah families.
“Technology advances have become a powerful driver in studying and understanding the start and spread of disease,” said NIH Director Francis S. Collins, M.D., Ph.D. “These projects will expand the toolbox available to researchers to improve our ability to characterize environmental exposures.”
When the virtual pipeline is complete, a seventh-grader carrying an air quality sensor in his backpack and his doctor could tell whether the aerosol cleaner the school janitor was spraying at class break might have sent the student to the emergency room a few hours later.
“Whatever happens indoors is going to contribute quite a bit to your exposure,” says Neal Patwari, Ph.D., associate professor of electrical and computer engineering who is designing wireless sensor networks for the project. “The devices will monitor what’s going on right around you and send the data to information systems so researchers can eventually analyze it. They also may give you immediate feedback so you can take action to limit your exposure.”
Eventually, the database will incorporate information from doctors’ records, hospital emergency room visits, wearable Fitbit-like sensors, and regional air quality monitors, like those installed on UTA TRAX trains.
The Utah project, Sward says, will make the difference between researchers and pediatricians attempting to extrapolate from large-scale, imprecise data, when they really need personalized patient information. This is one more example of how the University of Utah is participating in the national precision medicine initiative.
“All of the sudden, you’ll have this massive amount of data that wasn’t available to researchers before,” she says. “We will be able to see in near-real time what’s happening to people.”
University researchers say it’s no accident the Utah team was selected, due to the state’s uniquely variable air quality and the work already being done locally by pediatricians, researchers, engineers and even parents of kids with asthma.
“Because we experience these periodic levels of pollution during our wintertime inversion and during our summertime ozone season, but we have very good air the rest of the year, this may give us the ability to tease out the impact of some of these triggers,” says Kerry Kelly, M.S., an assistant professor of chemical engineering and associate director of the U’s Air Quality, Health and Society Program.
The program played a significant role in getting the NIH study proposal off the ground, contributing $85,000 in seed grant funding to researchers to fund the development of a hand-held tool for measuring personal exposure to volatile organic compounds, among other projects that led up to the researchers receiving the PRISMS grant.
“This required broader partnerships to put together a team that could successfully compete for this proposal, and I think the Air Quality, Health and Society Program helped foster some of those partnerships,” Kelly says.
The team includes faculty from four colleges — Nursing, School of Medicine, Engineering and Mines and Earth Sciences.
The Utah team will work in tandem with another group of researchers creating similar systems in another state. The NIH anticipates using the new networks as the basis for a national data coordinating center for pediatric asthma which could eventually be made available online to the public.
This project will empower families to know when and how their asthma is affected. “We want doctors to be able to say to patients: ‘Based on your data, when you are exposed at this level to this pollutant, this is how you will react,’” says Flory Nkoy, M.D., M.S., M.P.H, an associate research professor of pediatrics and investigator on the project.
Doctors, he says, may be able to tailor recommendations – increasing medication or avoiding exposure, for example — based on the pollutants they might encounter.
“You can’t control it if you don’t know what it is.”
The grant has three subprojects:
Data Aquisition Pipeline – Project leads are Neal Patwari, Ph.D., associate professor in electrical and computer engineering, and Miriah Meyer, Ph.D., assistant professor in the School of Computing
Data Integration Infrastructure – Project leads are Julie Facelli, Ph.D., professor of biomedical informatics and Ram Gouripeddi, Ph.D., research assistant professor in biomedical informatics
Lab/Researcher Analytics Platform – Project leads are Kathy Sward, associate professor in the College of Nursing, Mollie Cummins, Ph.D., associate professor in the College of Nursing, Flory Nkoy, M.D., M.S., M.P.H., research associate professor of pediatrics.
Source: University of Utah