title: Modelling knee range of motion post arthroplasty: clinical applications.
abstract: OBJECTIVE
  To model change in knee range of motion (ROM) post total knee arthroplasty (TKA) and to show how this information can be incorporated into clinical decision making.
  
  
  METHODS
  We applied a variable-occasion repeated-measures study design. Patients' knee flexion and extension ROM were assessed pre- and post arthroplasty over the ensuing 60 weeks. We examined change in ROM post TKA using linear and nonlinear mixed-effects modelling, and examined whether age, body mass index, prearthroplasty ROM, and gender were determinants of recovery in post-arthroplasty ROM.
  
  
  RESULTS
  Of 93 eligible patients, 74 provided pre- and post-arthroplasty data. A random intercept nonlinear model fit the flexion data best, and a random intercept linear model fit the extension data best. Pre-arthroplasty ROM was found to be a determinant of recovery in ROM post arthroplasty. This finding was common to both flexion and extension models.
  
  
  CONCLUSIONS
  Our study showed that the greatest improvement for knee ROM took place during the first 12 weeks post arthroplasty. Of the variables examined, only pre-arthroplasty ROM was a determinant of outcome (p<0.05). The study results provide clinicians with data to determine expected rates of improvement for patients as well as the projected maximum ROM, facilitating improved clinical decision making.
authors: Paul W. Stratford, PT, MSc: Professor, School of Rehabilitation Science; Associate Member, Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario.
authors: Paul W
authors: PW
authors: Stratford
authors: Deborah M
authors: DM
authors: Kennedy
authors: Susan F
authors: SF
authors: Robarts