Logo image
Predicting mobility limitations in patients with total knee arthroplasty in the inpatient setting
Journal article   Peer reviewed

Predicting mobility limitations in patients with total knee arthroplasty in the inpatient setting

Eleanor Chew Shu-Xian, Seng-Jin Yeo, Terry Haines, Julian Thumboo, Ross Clark, Hwei-Chi Chong, Cheryl Lian-Li Poon, Felicia Jie-Ting Seah, Darren Tay Keng Jin, Pang Nee Hee, …
Archives of Physical Medicine and Rehabilitation, Vol.100(11), pp.2106-2112
2019
url
https://doi.org/10.1016/j.apmr.2019.04.018View
Published Version

Abstract

knee replacement prediction risk outcomes
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 2300 patients 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 a priori determined 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% CI, 0.68 to 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 BMI, 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.

Details

Metrics

1 File views/ downloads
2695 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Rehabilitation
Sport Sciences

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Logo image