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Predicting Mobility Limitations in Patients With Total Knee Arthroplasty in the Inpatient Setting

  • Eleanor Shu Xian Chew
  • , Seng Jin Yeo
  • , Terry Haines
  • , Julian Thumboo
  • , Ross Allan Clark
  • , Hwei Chi Chong
  • , Cheryl Lian Li Poon
  • , Felicia Jie Ting Seah
  • , Darren Keng Jin Tay
  • , Nee Hee Pang
  • , Celia Ia Choo Tan
  • , Yong Hao Pua

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Objective: To develop a prediction model for postoperative day 3 mobility limitations in patients undergoing total knee arthroplasty (TKA). Design: Prospective cohort study. Setting: Inpatients in a tertiary care hospital. Participants: A sample of patients (N=2300) who underwent primary TKA in 2016-2017. Interventions: Not applicable. Main Outcome Measure: Candidate predictors included demographic variables and preoperative clinical and psychosocial measures. The outcome of interest was mobility limitations on post-TKA day 3, and this was determined a priori by an ordinal mobility outcome hierarchy based on the type of the gait aids prescribed and the level of physiotherapist assistance provided. To develop the model, we fitted a multivariable proportional odds regression model with bootstrap internal validation. We used a model approximation approach to create a simplified model that approximated predictions from the full model with 95% accuracy. Results: On post-TKA day 3, 11% of patients required both walkers and therapist assistance to ambulate safely. Our prediction model had a concordance index of 0.72 (95% confidence interval, 0.68-0.75) when evaluating these patients. In the simplified model, predictors of greater mobility limitations included older age, greater walking aid support required preoperatively, less preoperative knee flexion range of movement, low-volume surgeon, contralateral knee pain, higher body mass index, non-Chinese race, and greater self-reported walking limitations preoperatively. Conclusion: We have developed a prediction model to identify patients who are at risk for mobility limitations in the inpatient setting. When used preoperatively as part of a shared-decision making process, it can potentially influence rehabilitation strategies and facilitate discharge planning.

Original languageEnglish
Pages (from-to)2106-2112
Number of pages7
JournalArchives of Physical Medicine and Rehabilitation
Volume100
Issue number11
DOIs
Publication statusPublished - Nov 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Knee
  • Models
  • Prognosis
  • Rehabilitation
  • Risk
  • Statistical

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