Children who come into the ICU for any number of reasons may wind up with acute kidney injury, a dangerous condition in which kidneys can no longer filter waste from the blood. If doctors catch the warning signs early, there are several things they can do to prevent acute kidney injury in kids, but it can be difficult to predict which patients are at risk.
Expanding on work supported by the UR CTSI KL2 Career Development Program, Adam Dziorny, M.D., Ph.D., assistant professor of Pediatric Critical Care and Biomedical Engineering, is building a tool that can identify children who are at risk for developing acute kidney injury and alert health care providers.
“We have patients who are admitted into the intensive care unit who have a risk of acute kidney injury depending on things like their initial presentation, their vital signs, and their underlying diagnosis,” Dziorny said. “It's very difficult for a human to tease all that out, but that's a task that a computer could be quite good at. I can take all that data, integrate it, and then come up with a prediction score...”
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