Abstract
BACKGROUND
Recovery of function such as the ability to walk without an assistive device after total hip arthroplasty (THA) is not always
automatic.
OBJECTIVE
This study investigated whether predetermined variables could be used to identify patients who might have functional limitations
at 6 months following THA.
DESIGN
A prospective, observational cohort design was used.
METHOD
Demographics and baseline measures, including age, sex, and preoperative Lower Extremity Functional Scale (LEFS) score, were
collected 1 to 3 weeks prior to surgery from 40 participants who were scheduled to undergo THA. Six weeks after surgery, a
second LEFS score was recorded along with each participant's body mass index and the THA procedure performed; walking speed
and balance also were assessed at this time using the 10-Meter Walk Test, the Timed "Up & Go" Test, and the Functional Reach
Test. At 6 months following surgery, each participant's functional outcome was determined from the final LEFS score and the
need for an assistive device. Classification and regression tree (CART) analyses and logistic regression were used to establish
which of the variables could predict outcome at 6 months.
RESULTS
Body mass index, sex, and age were identified by CART analysis as predictors to classify participants who did not reach successful
outcome status. Logistic regression revealed that sex (female) was the only individual variable that predicted outcome at
6 months. Walking speed was the only performance variable identified as a predictor for outcome using CART analysis.
LIMITATIONS
Only a limited number of variables were observed due to the small sample size.
CONCLUSION
It is possible to identify those patients who are at risk for an unsuccessful outcome through the use of variables such as
body mass index, age, and sex.
Links
Authors
Institution
Krannert School of Physical Therapy, University of Indianapolis, Indianapolis, IN 46227, USA. slavene@uindy.edu
Source
Physical therapy 92:11 2012 Nov pg 1386-94MeSH
Activities of Daily LivingAge Factors
Aged
Arthroplasty, Replacement, Hip
Body Mass Index
Cohort Studies
Disability Evaluation
Female
Humans
Logistic Models
Male
Middle Aged
Recovery of Function
Sex Factors
Treatment Outcome
Walking
Pub Type(s)
Journal ArticleLanguage
eng
PubMed ID
22859514
Log In

