Predicting Mobility Limitations in Patients With Total Knee Arthroplasty in the Inpatient Setting.
Age Factors
Aged
Aged, 80 and over
Arthroplasty, Replacement, Knee
/ rehabilitation
Body Mass Index
Ethnicity
/ statistics & numerical data
Female
Hospitals, High-Volume
/ statistics & numerical data
Humans
Inpatients
Male
Middle Aged
Mobility Limitation
Models, Statistical
Orthopedic Equipment
/ statistics & numerical data
Pain, Postoperative
Physical Therapy Modalities
Prospective Studies
Range of Motion, Articular
Socioeconomic Factors
Tertiary Care Centers
Knee
Models
Prognosis
Rehabilitation
Risk
Statistical
Journal
Archives of physical medicine and rehabilitation
ISSN: 1532-821X
Titre abrégé: Arch Phys Med Rehabil
Pays: United States
ID NLM: 2985158R
Informations de publication
Date de publication:
11 2019
11 2019
Historique:
received:
29
01
2019
revised:
24
04
2019
accepted:
26
04
2019
pubmed:
4
6
2019
medline:
19
3
2020
entrez:
2
6
2019
Statut:
ppublish
Résumé
To develop a prediction model for postoperative day 3 mobility limitations in patients undergoing total knee arthroplasty (TKA). Prospective cohort study. Inpatients in a tertiary care hospital. A sample of patients (N=2300) who underwent primary TKA in 2016-2017. Not applicable. 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. 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. 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.
Identifiants
pubmed: 31152704
pii: S0003-9993(19)30385-5
doi: 10.1016/j.apmr.2019.04.018
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2106-2112Informations de copyright
Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.