Prediction of Functional Outcome at Six Months Following Total Hip Arthroplasty

Emily J. Slaven

doi:10.2522/ptj.20110484

Figures

Figure 1.

Outline of participant recruitment and attrition during the study. THA=total hip arthroplasty, LEFS=Lower Extremity Functional Scale.

Figure 2.

Classification and regression tree analysis for the first group of variables. Successful=successful outcome, unsuccessful=unsuccessful outcome, BMI=body mass index.

Figure 3.

Classification and regression tree analysis for the second group of variables. Successful=successful outcome, unsuccessful=unsuccessful outcome.

Tables

Table 1.

Inclusion and Exclusion Criteria

Table 2.

Demographic and Functional Characteristics of the Participants (n=37)^{^a}

↵^a Values are reported as mean (SD) unless otherwise indicated. THA=total hip arthroplasty, BMI=body mass index, LEFS=Lower Extremity Functional Scale.

Supplementary Data

Discussion Podcast: Predicting Recovery After Total Hip Arthroplasty

Participants: Emily Slaven, PT, PhD, OCS, FAAOMPT, CertMDT, Assistant Professor, Krannert School of Physical Therapy, University of Indianapolis, Indianapolis, Indiana, and Robert Wagenmakers, MD, PhD, Orthopedic Surgeon, Amphia Ziekenhuis, Breda, The Netherlands. Moderator: Rebecca Craik, PT, PhD, FAPTA, Editor in Chief, PTJ, and Professor and Chair, Department of Physical Therapy, Arcadia University, Glenside, Pennsylvania.

Files in this Data Supplement:

Discussion Podcast - Total hip arthroplasty (THA) is a common procedure for osteoarthritis, complications due to hip fractures, rheumatoid arthritis, and congential dislocation of the hip. Are there variables that can identify patients at risk for unsuccessful outcomes after this surgery? In "Prediction of Functional Outcome at Six Months Following Total Hip Arthroplasty" (November 2012), Dr Emily Slaven concluded that such variables as body mass index, age, and sex could be used to identify patients at risk for less favorable outcomes after THA. In this podcast, Slaven is joined by orthopedic surgeon and researcher Dr Robert Wagenmakers and moderator Dr Rebecca Craik to discuss her study and other current research on the topic. They also discuss the influence of different surgical approaches on outcomes and compare postoperative rehabilitation approaches in the United States and the Netherlands.
Running time: 23:54 (33.3 MB)

Discussion Podcast:
Predicting Recovery After Total Hip Arthroplasty

Download the mp3 | Length: 23:54

Quick Grabs

Slaven: "The key is to identify those who would benefit the most so that we can spend our resources appropriately."

Wagenmakers: " People in the Netherlands have to pay for their own physical therapy … after 8 treatments, and you see now that people stop after 8 treatments because they can't afford it anymore."

Slaven: "There are so many elements that can factor in to how patients with a total hip arthroplasty recover."

References

Figure 2. Classification and regression tree analysis for the first group of variables.

Stratford PW, Kennedy DM, Hanna SE. Condition-specific Western Ontario McMaster Osteoarthritis Index was not superior to region-specific Lower Extremity Functional Scale at detecting change. J Clin Epidemiol. 2004;57:1025-1032.

Stevens M, Paans N, Wagenmakers R, et al. The influence of overweight/obesity on patient-perceived physical functioning and health-related quality of life after primary total hip arthroplasty. Obes Surg. 2012;22:523-529.

Dowsey MM, Choong PF. Obesity is a major risk factor for prosthetic infection after primary hip arthroplasty. Clin Orthop Relat Res. 2008;466:153-158.

Moran M, Walmsley P, Gray A, Brenkel IJ. Does body mass index affect the early outcome of primary total hip arthroplasty? J Arthroplasty. 2005;20:866-869.

Jackson MP, Sexton SA, Yeung E, et al. The effect of obesity on the mid-term survival and clinical outcome of cementless total hip placement. J Bone Joint Surg Br. 2009;91:1296-1300.

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