Park, DoHwanHochberg, Marc CShurupoff, Kimberly Eileen2015-10-142015-10-142011-01-0110420http://hdl.handle.net/11603/1029There is a need for a nonacceptable symptom state to indicate when a patient with knee or hip osteoarthritis exhibits symptoms severe enough to warrant total joint replacement (TJR). A previous study using logistic regression and ROC curve analysis was unable to determine pain and functional disability cut points leading to a TJR recommendation. Using the datasets from the previous study, classification trees were used to identify predictors and cut points of those predictors leading to a TJR recommendation. From the analysis, a patient's quality of life and joint space narrowing appeared to be the most important predictors, out of those included in the analysis, of a surgeon's recommendation for TJR. Further research and analysis is needed to determine if the generated classification trees accurately predict a surgeon's recommendation for TJR.application/pdfThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu.classification treesjoint space narrowingOARSI-OMERACT Initiativeosteoarthritisquality of lifetotal joint replacementText