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


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
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

2106-2112

Informations de copyright

Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Auteurs

Eleanor Shu-Xian Chew (ES)

Department of Physiotherapy, Singapore General Hospital, Singapore.

Seng-Jin Yeo (SJ)

Department of Orthopaedic Surgery, Singapore General Hospital, Singapore.

Terry Haines (T)

School of Primary and Allied Health Care, Monash University, Melbourne, Victoria, Australia.

Julian Thumboo (J)

Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.

Ross Allan Clark (RA)

Research Health Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia.

Hwei-Chi Chong (HC)

Department of Physiotherapy, Singapore General Hospital, Singapore.

Cheryl Lian Li Poon (CLL)

Department of Physiotherapy, Singapore General Hospital, Singapore.

Felicia Jie-Ting Seah (FJ)

Department of Physiotherapy, Sengkang General Hospital, Singapore.

Darren Keng Jin Tay (DKJ)

Department of Orthopaedic Surgery, Singapore General Hospital, Singapore.

Nee Hee Pang (NH)

Department of Orthopaedic Surgery, Singapore General Hospital, Singapore.

Celia Ia Choo Tan (CIC)

SingHealth Group Allied Health, Singapore.

Yong-Hao Pua (YH)

Department of Physiotherapy, Singapore General Hospital, Singapore. Electronic address: puayonghao@gmail.com.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH