How to Develop a Fair Revision Arthroplasty Bundle? Using Perioperative Complications and Readmissions to Investigate

Social determinants of health disparities impact postoperative complications in patients undergoing total shoulder arthroplasty

BACKGROUND

Understanding the role of social determinants of health disparities (SDHDs) in surgical outcomes can better prepare providers to improve postoperative care. In this study, we use International Classification of Diseases (ICD) codes to identify SDHDs and investigate the risk of postoperative complication rates among patients undergoing total shoulder arthroplasty (TSA).

METHODS

A retrospective cohort analysis was conducted using a national insurance claims database. Using ICD and Current Procedural Terminology (CPT) codes, patients who underwent primary TSA with at least 2 years of follow-up in the database were identified. Patients with a history of SDHDs were identified using appropriate ICD-9 and ICD-10 codes. Patients were grouped in one of 2 cohorts: (1) patients with no history of SDHDs (control) and (2) patients with a history of SDHDs (SDHD group) prior to TSA. The SDHD and control groups were matched 1:1 for comorbidities and demographics prior to conducting multivariable analysis for 90-day medical complications and 2-year surgical complications.

RESULTS

After matching, there were 8023 patients in the SDHD group and 8023 patients in the control group. The SDHD group had significantly higher odds for 90-day medical complications including heart failure, cerebrovascular accident, renal failure, deep vein thrombosis, pneumonia, sepsis, and urinary tract infection. Additionally, the SDHD group had significantly higher odds for revision surgery within 2 years following TSA. Patients in the SDHD group also had a significantly longer length of hospital stay following TSA.

DISCUSSION

This study highlights the association between SDHDs and postoperative complications following TSA. Quantifying the risk of complications and differences in length of stay for TSA patients with a history of SDHDs is important in determining value-based payment models and risk stratifying to optimize patient care.

Cost Drivers in Two-Stage Treatment of Hip Periprosthetic Joint Infection With an Antibiotic Coated Cement Hip Spacer

BACKGROUND

The current gold standard for treating chronic Periprosthetic Joint Infection (PJI) is a 2-stage revision arthroplasty. There has been little investigation into what specific patient and operative factors may be able to predict higher costs of this treatment.

METHODS

An institutional electronic health record database was retrospectively queried for patients who developed a PJI after a total hip arthroplasty, and underwent removal of the prosthesis and implantation of an antibiotic-impregnated articulating hip cement spacer. Patient demographics, surgical variables, hospital readmissions, emergency department visits, and post-operative complications were collected. Total costs were captured through an internal accounting database through 2 years post-operatively. Negative binomial regressions were utilized for multivariable analyses. A total of 55 hips with PJI were available for cost analyses.

RESULTS

A comorbidity index score was associated with a 70% increase (Odds Ratio (OR): 1.7 [1.18-2.5], P = .003) in total costs at 2-years. Illicit drug use was associated with a 70% increase in costs at 1-year post-operatively (OR 1.7 [1.18-2.5], P = .003). Metal-on-poly liners were associated with a 22% decrease in cost at 2-years post-operatively when compared to Cement-on-Bone articulating spacers, and Metal-on-poly -constrained liners accounted for 38% lower costs at 1-year (OR 0.62 [0.44-0.87], P = .004). Use of an intraoperative extended trochanteric osteotomy was associated with a 46 and 61% increase in cost at 1-year (OR 1.46 [1.14-1.89]) and 2-years (OR 1.61 [1.26-2.07], P < .001) post-operatively.

CONCLUSION

Age, comorbidity index score, drug use, and extended trochanteric osteotomy were associated with increased costs of PJI treatment. This may be used to improve reimbursement models and target areas of cost savings.