Research

Research featured on this website was conducted in collaboration with Force Therapeutics, utilized data collected through the Force platform, or independently referenced and incorporated the platform into published work. Credit for all research and findings belongs to the original authors and institutions.

Effect of Cumulative "Stacked" Patient Comorbidities on 90-Day Readmissions After Joint Arthroplasty

Authors: Matthew A. Parmenter II, MS  Joyce M. Harary, BA  Zaid Al Nassir, MS  Kevin A. Sonn, MD  Leonard T. Buller, MD  Evan R. Deckard, BSE  R. Michael Meneghini, MD

Abstract

Background

The tenets of value based care in total hip and knee arthroplasty  (THA,TKA) are to improve quality, patient’s safety, and patient care, while reducing cost by minimizing costly complications and readmissions. While   readmission rates are well-studied with isolated comorbidities, data regarding   the effect of cumulative “stacked” patient comorbidities are lacking. This study   aimed to evaluate the effect of cumulative patient comorbidities on readmission   rates within 90-days of surgery.

Methods

A retrospective review of 3,058 primary THAs and TKAs at a single   institution was performed. Fifty-two possible comorbidities were manually collected from within a state-wide electronic medical record. A summation of the   total number of comorbidities per patient were correlated to readmission rates   within 90-days. Statistical analysis was conducted at a significance level of 0.05.

Results

Overall, the 90-day readmission rate was 4.1%. The mean number of comorbidities per patient was 1.8 (range, 0 to 9). Readmission rates increased as   the number of comorbidities per patient increased (range, 2.7-25.0% per group).   Patients who had 6 comorbidities demonstrated a significantly higher   readmission rate within 90-days compared to those with 5 or less comorbidities  (17.1 versus 3.8%, P<0.001), consistent within both THA and TKA procedures,  respectively (THA 18.2% versus 4.1%, P=0.013; TKA 16.7% versus 3.5%, P<0.001). In multivariate analysis, the presence of 6 comorbidities (OR 3.4, 95% CI, 1.7-6.9,  P<0.001) was the strongest predictor of readmission followed by the presence of   stable coronary artery disease (OR 2.5, 95% CI, 1.5-4.2, P<0.001).

Conclusion

This data demonstrates that cumulative “stacked” comorbidities in patients who are medical optimized is a greater predictor of readmission after THA and TKA rather than one single comorbidity alone. As alternative payment and bundled care models continue to be mandated, this data is helpful for surgeons and institutions to succeed and thrive in value based care.

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