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OrthoCarolina Hip

As seen in: Value in Health Journal
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Articles

Cachexia Signficantly Increases The Risk of Major Peri-Operative Complications and In-Hospital Mortality in Total Joint Replacement Patients: Results of a Matched Cohort Study - Value in Health

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By BA Van Doren, SM Odum, OrthoCarolina Hip, JB Mason, S Arthur
| Value in Health Journal Verified
Cachexia, a complex wasting syndrome of the muscle tissue, is a serious sequela of many chronic diseases, including cancer and COPD. In general, cachexia is associated with higher inpatient mortality and longer length of stay. Little is known about the effects of cachexia in orthopedic surgical patients. The purpose of this study was to compare the perioperative outcomes of primary total joint arthroplasty (TJA) between patients with and without cachexia.
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Incidence and Comparative In-Hospital Outcomes For Periprosthetic Fracture: Orif Versus Revision Total Joint Surgery

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By BA Van Doren, SM Odum, OrthoCarolina Hip, BM Curtin, BD Springer
| Value in Health Journal Verified
Periprosthetic fractures (PPFx), breaking of the bone around a prosthetic joint implant, are one of the most serious complications in total joint replacements. PPFx can be managed surgically with open reduction and internal fixation (ORIF) or revision total joint arthroplasty (rTJA). The purpose of this study is to examine incidence and comparative in-hospital outcomes for the management of PPFx.
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PROJECTIONS FOR TOTAL JOINT ARTHROPLASTY DEMAND FOR THE NEXT GENERATION

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By S. M. Odum, B. A. Van Doren, B. Curtin, OrthoCarolina Hip, T. K. Fehring
| Value in Health Journal Verified
Projecting total joint arthroplasty (TJA) demand is important for policy decisions that affect physician supply and patient access. Using a linear model, Kurtz et al. (2007) projected that demand for total knee arthroplasty (TKA) and total hip arthroplasty (THA) would increase by 673% (to 3.4 million procedures) and 174% (to 572,000 procedures), respectively, by 2030. The purpose of this study was to re-examine future TJA demand utilizing current data, with linear and exponential growth models.
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