03
February
2020
|
08:05 PM
America/New_York

HSS machine-learning tool identifies factors linked with worse outcomes after hip arthroscopy

Becker’s Spine Review reports on the findings of a study led by Benedict Nwachukwu, MD, MBA, sports medicine surgeon at HSS, and published in the American Journal of Sports Medicine, which found a machine-learning algorithm recognized predictive factors linked with worse outcomes for patients undergoing arthroscopic surgery to treat femoracetabular impingement of the hip. Factors include but are not limited to anxiety and depression; length of symptoms for more than two years prior to surgery; and receiving preoperative steroid injections.

Additionally, two variables that were predicted to achieving better results include running and being female.

Read the article at Beckersspine.com.