New Risk Prediction Model for Opioid Misuse After Surgery Surpasses Accuracy of Previous Models

March 2, 2022

 • 

Read time:

<5 mins
Share on facebook
Share on twitter
Share on reddit
Share on email
Share on print
Surgery Table Operating Room Lights
Share on facebook
Share on twitter
Share on reddit
Share on email
Share on print
Presented by Health Lab

Using data from the Michigan Genomics Initiative, a risk prediction model developed by Michigan Medicine researchers has the potential to pinpoint those individuals most at risk of persistent opioid use after surgery and allow health care practitioners to take prevention measures before surgery. Anne Fernandez, Ph.D., an assistant professor of psychiatry and corresponding author on the study, discusses her research findings and potential benefits of the model, including early identification of surgical patients at risk for continued opioid use.

More from the Alumni Education Gateway
Join the Alumni Education Gateway Email List​
We use cookies to ensure you get the best experience on our website. By using this site, you accept our use of cookies.