UC News

UC launches Cincy BEARCAT study

Research hopes to learn more about the causes of cardiac arrest

headshot of Bill Bangert By Bill Bangert 513-558-4519
3 minute read September 16, 2022

Each year in the U.S., there are more than 356,000 sudden cardiac arrests. Researchers at the University of Cincinnati are hoping to learn more about the causes of cardiac arrest through the Cincinnati Biorepository to Enhance the Acute Resuscitation of Cardiac Arrest Patients (Cincy BEARCAT) study.

“We know a little bit about what causes cardiac arrest,” says Justin Benoit, MD, assistant professor in the Department of Emergency Medicine at the UC College of Medicine. “Sometimes it can be due to a heart attack, or a severe infection, a respiratory problem. However, once that person is actually in cardiac arrest, we don’t really understand what’s going on with the human body at that point in time. Cincy BEARCAT is all about finding out what’s actually going on, and how we can reverse it quickly to save someone’s life.” 

Spiritus is a Venture Lab startup founded by three UC professors. They've created a volume, rate and pressure display for self-inflating breathing bags. The breathing bags are used by paramedics and doctors in emergency situations to help a person breathe. Justin Benoit, associate professor, Department of Emergency Medicine; Jason McMullan, associate professor of clinical emergency medicine; Ephraim Gutmark, distinguished professor of aerospace engineering; Paul Bruggeman, entrepreneur in residence

Justin Benoit, MD, of the Department of Emergency Medicine at the UC College of Medicine

Benoit says no one routinely collects blood samples on cardiac arrest patients in the U.S. He says that while all cardiac arrest patients are currently put into one of two categories, he believes there is a lot more diversity in those patients. The working theory of Cincy BEARCAT is that before the patient ever gets to the hospital, they are going to find differences between patients that are currently unknown. 

“Not only that, but we believe these differences will change over the course of the time EMS is with the patient,” Benoit says. “Ultimately, we hope that knowledge of these differences will allow us to better target our treatment efforts based on the exact problem(s) of each specific patient.”

Benoit says they will be collecting blood samples of around three tablespoons which will be stored in a biorepository to examine later and try to determine if the sample can reveal what caused the cardiac arrest and how it can be reversed in the future. Those samples may also be used in current and future research.

“My goal is, 20 years from now, if somebody’s in cardiac arrest, when Cincinnati Fire and other EMS agencies roll up on scene, they’re going to be able to get a little blood sample, run it through a point of care machine and it’s going to tell us, ‘the patient is having this kind of cardiac arrest, you need to treat it this way,’” says Benoit. “We’re going to be a lot more specific about how we treat patients in the future.”

WKRC-TV, Local 12, produced a story on the research that was syndicated across the U.S. See that coverage here. 

Tags

Related Stories

1

Can ChatGPT help holiday shoppers?

December 5, 2025

Holiday shopping can be difficult. That’s why WLWT turned to Lindner College of Business professor Sachin Modi for insights on if large language models like ChatGPT can be helpful in finding more tailored gifts for loved ones.