Boston—A new clinical prediction model by a team of Scottish researchers can help identify patients at risk for poor outcomes after total knee arthroplasty and be used to aid decision making between patients and their clinicians.
“Total knee arthroplasty [TKA] is a very common operation, but as many as 30% of people who have it aren’t happy with the results,” said Gary Macfarlane, MBChB, PhD, a professor of epidemiology at the University of