Preoperative predictors of extended hospital length of stay following total knee arthroplasty.
Abstract
The purpose of this study was to identify the preoperative predictors of hospital
length of stay after primary total knee arthroplasty in a patient population reflecting
current trends toward shorter hospitalization and using readily obtainable factors
that do not require scoring systems. A single-center, multi-surgeon retrospective
chart review of two hundred and sixty consecutive patients who underwent primary total
knee arthroplasty was performed. The mean length of stay was 3.0 days. Among the different
variables studied, increasing comorbidities, lack of adequate assistance at home,
and bilateral surgery were the only multivariable significant predictors of longer
length of stay. The study was adequately powered for statistical analyses and the
concordance index of the multivariable logistic regression model was 0.815.
Type
Journal articleSubject
arthroplastyassistance at home
comorbidities
knee
length of stay
preoperative predictors
Adult
Aged
Aged, 80 and over
Arthroplasty, Replacement, Knee
Comorbidity
Female
Hospitalization
Humans
Length of Stay
Male
Middle Aged
Preoperative Period
Retrospective Studies
Risk Factors
Social Support
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https://hdl.handle.net/10161/10289Published Version (Please cite this version)
10.1016/j.arth.2014.10.025Publication Info
Halawi, Mohamad J; Vovos, Tyler J; Green, Cindy L; Wellman, Samuel S; Attarian, David
E; & Bolognesi, Michael P (2015). Preoperative predictors of extended hospital length of stay following total knee arthroplasty.
J Arthroplasty, 30(3). pp. 361-364. 10.1016/j.arth.2014.10.025. Retrieved from https://hdl.handle.net/10161/10289.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
David Edward Attarian
Professor of Orthopaedic Surgery
Investigation of value based healthcare markets and transitions. Cost transparency
for patients and providers.Risk management and medicolegal aspects of orthopaedic
practice. Co-management and alignment relationships between clinicians and hospitals/
health systems in evolving healthcare markets. Clinical outcomes of total hip and
knee replacements (primary and revision surgeries, total joint infections, modern
bearing surfaces, gait mechanics and balance). Novel surgical
Michael Paul Bolognesi
Professor of Orthopaedic Surgery
As chief of the adult reconstruction service, the majority of my research effort has
been directed toward clinical outcomes, implant survivorship, functional recovery,
the biology of hip and knee arthritis and cost effectiveness.
Cynthia Lea Green
Associate Professor of Biostatistics & Bioinformatics
Survival Analysis Longitudinal Data Analysis Logistic Regression Missing Data Clinical
Trial Methods Maximum Likelihood Methods
Samuel S. Wellman
Associate Professor of Orthopaedic Surgery
My career has primarily focused on clinical care of hip and knee arthritis. I run
a busy Adult Reconstruction (hip and knee replacement) practice. I am also Chief
of the Orthopedic Surgery service at the Durham VA medical center. In these roles,
I work daily with orthopedic residents, and train them to manage these issues both
non-operatively and with surgery. I also mentor residents, fellows,and medical students
on their research projects, typically in collabora
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