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Updated: Jan 24, 2026

Reverse Total Shoulder Arthroplasty
Published on: July 5, 2011
Total knee arthroplasty outcomes in lupus: a study using the US National Inpatient Sample
Jasvinder A Singh1,2,3, John D Cleveland2
1Medicine Service, Birmingham VA Medical Center, University of Alabama at Birmingham, Birmingham, AL, USA.
Objective:
To assess whether patients with lupus have more complications and/or health care utilization than patients without lupus after primary total knee arthroplasty (TKA).
Methods:
We used diagnostic codes to identify lupus (710.0) in patients who underwent primary TKA (procedure code, 81.54) in the US National Inpatient Sample from 1998-2014. We performed separate logistic regression analyses to assess whether lupus was associated with each in-hospital post-primary TKA complication (implant infection, implant revision, transfusion, mortality) or health care utilization for the index hospitalization.
Results:
Our study cohort consisted of 8 127 282 primary TKAs with a mean age of 66.4 years, 63% were female, 68% White, 97% with OA, and the Deyo-Charlson comorbidity score was zero in 51%; 30 912 TKAs were performed in people with lupus. In multivariable-adjusted analyses, lupus was independently associated with a significantly higher risk of transfusion, but no significant difference in implant infection, implant revision or mortality, with respective odds ratios [ORs] (95% confidence interval [CI]) of 1.34 (1.25, 1.42), 1.38 (0.73, 2.60), 1.35 (0.83, 2.19) and 0.83 (0.34, 2.03). Lupus was independently associated with a significantly higher risk of total hospital charges above the median, the length of hospital stay >3 days (median) and discharge to an inpatient facility, respective ORs (95% CI) were 1.42 (1.22, 1.66), 1.09 (1.04, 1.15) and 1.34 (1.27, 1.41).
Conclusion:
Our finding of higher transfusion rate and health care utilization in lupus compared with non-lupus patients undergoing primary TKA informs surgeons, patients and policy makers regarding TKA outcomes in lupus, and can also guide appropriate resource allocation.
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