Should Chronological Age be a Consideration in Patients Undergoing Elective Primary Total Knee Arthroplasty?

J Arthroplasty. 2024 Apr 17:S0883-5403(24)00359-0. doi: 10.1016/j.arth.2024.04.036. Online ahead of print.

Abstract

Introduction: The optimal time for total knee arthroplasty (TKA) requires a balance between patient disability and health state in order to minimize complications. While chronological age has not been shown to be predictive of complications in elective surgical patients, there is a point beyond which even optimized elderly patients would be at increased risk for complications. The purpose of this study was to examine the impact of chronological age on complications following primary TKA.

Methods: Using an administrative database, the records of 2,129,191 patients undergoing elective unilateral TKA between 2006 and 2021 were reviewed. The primary outcomes of interest were cardiac and pulmonary complications, and their relationship to the Charlson-Deyo Comorbidity Index (CDI) and chronological age. Secondary outcomes included risk of renal, neurologic, infection, and intensive care utilization postoperatively. The results were analyzed using a graphical method. The impact of chronological age as a modifier of overall risk for complications was modeled as a continuous variable. An age cutoff threshold of 80 years was also assigned for clinical convenience.

Results: The risk of complications correlated more closely to the Charlson-Deyo index (OR [odds ratio] 1.37 to 2.1) than chronological age (OR 1.0 to 1.1) across the various complications [Table-1. However, beyond age 80 years, the risks of cardiac, pulmonary, renal, and cerebrovascular complications were significantly increased for all CDI categories (OR 1.73 to 3.40) compared to patients below age 80 years [Table-2] [Figures 1A and 1B].

Conclusions: Chronologic age can impact the risk of complications even in well-optimized elderly patients undergoing primary TKA. As arthroplasty continues to transition to outpatient settings and inpatient denials increase, these results can help patients, physicians, and payors mitigate risk while optimizing the allocation of resources.