RESUMEN
Predicting personalized outcome after arthroplasty improves shared decision-making. The aim of this paper was to determine predictors of functional outcome measured by the Hip disability and Osteoarthritis Outcome Score - Physical function Shortform (HOOS-PS) or Knee injury and Osteoarthritis Outcome Score - Physical function Shortform (KOOS-PS) in patients undergoing total hip (n = 79) or total knee arthroplasty (n = 90) respectively. Patients were assessed at baseline and following arthroplasty. A multiple regression analysis showed that the included variables predicted the change score in HOOS-PS limited (F (8,66) = 3.139, p = 0.005, adjusted R2 = 0.188) and the KOOS-PS not significantly (F (8,73) = 0.837, p = 0.573, adjusted R 2 = -0.016). Concluding, baseline characteristics cannot be used for personalized prediction using the KOOS-PS and HOOS-PS.