|
Back to 2017 Scientific Program ePosters
Prognostic Factors for Periprosthetic Infection after Total Elbow Arthroplasty: An Analysis of 1,452 Cases
Jeremy S Somerson, MD1; Matthew R Boylan, MD MPH2; Qais Naziri, MD MBA3; Kevin T Hug, MD4; William P Urban, MD3; Jerry I Huang, MD4
1University of Texas Medical Branch, Galveston, TX, 2NYU Hospital for Joint Diseases, New York, NY, 3State University of New York Downstate Medical Center, Brooklyn, NY, 4University of Washington Medical Center, Seattle, WA
Introduction: Risk factors for periprosthetic joint infection (PJI) after elbow arthroplasty are largely unknown due to the lack of large published series. The authors performed an analysis of a large statewide database to identify patient factors associated with elbow PJI.
Methods: The Statewide Planning and Research Cooperative System database was used to identify all patients who underwent TEA between 2003 and 2012 in New York State. Demographics including age, gender, race, Deyo score and diagnoses of rheumatoid arthritis, hypertension, tobacco use disorder or hypothyroidism were collected. Multivariate analysis was used to determine factors that were independently prognostic for PJI.
Results: Among the 1,452 patients who underwent TEA, 3.7% (N=54) were admitted postoperatively for PJI. There were 30 (56%) early infections, 17 (31%) delayed infections, and 7 (13%) late infections. During admission, 41 patients (76%) underwent further elbow surgery, including hardware removal (33%; N=18), insertion of an antibiotic spacer (13%; N=7), single-stage arthroplasty revision (15%; N=8), soft tissue excision (44%; N=24), and debridement (15%; N=8). An additional 6 patients (11%) underwent revision surgery within 12 months of admission. Significant risk factors for PJI included rheumatoid arthritis (OR=3.31; p<0.001), tobacco use disorder (OR=3.39; p=0.003), and hypothyroidism (OR=2.04; p=0.045).
Discussion: Periprosthetic joint infection is a rare but serious complication of TEA that may require further elbow surgery and prolonged antibiotic therapy. This large database study allows clinicians to identify patients who are at greater risk for postoperative infection.
Back to 2017 Scientific Program ePosters
|
