Fellowship-Trained Surgeons Experience a Learning Curve Performing Revision Total Joint Arthroplasty

Revision total hip arthroplasty (rTHA) and revision total knee arthroplasty (rTKA) require considerable surgical proficiency, but are frequently delegated to the least experienced surgeons. This study examined the influence of surgeon experience on revision outcomes.

Prospective data on confirmed aseptic rTHAs (n = 122) and rTKAs (n = 195) performed by 4 fellowship-trained surgeons in the same practice were retrospectively analyzed. Surgeons were grouped based on years in practice (inexperienced [IE] first 2 years, early experience [EE] 4 to 6 years, and senior experience [SE] 15 to 17 years). Procedure duration, estimated blood loss (EBL), and reoperation rates were compared, controlling for potential covariates.

Procedure durations varied based on surgeon experience for 3 of 4 rTHA diagnoses (P ≤ 0.001). Relative to the SE surgeon, procedure duration was 80.0 (95% confidence interval 61.7 to 98.4, P < 0.001) minutes longer for IE surgeons and 30.9 (95% confidence interval 17.5 to 44.3, P < 0.001) minutes longer for the EE surgeon. Procedure durations also varied based on surgeon experience for 3 of 4 rTKA diagnoses (P < 0.001), with the longest durations for IE surgeons. Procedure durations varied based on the interaction of surgeon experience, patient age, and body mass index. The EBL did not differ in rTHA based on surgeon experience (P = 0.978), but did differ for rTKA (P = 0.004). There were 25% of rTHAs performed by IE surgeons compared to 15.5% for the EE surgeon and 3.6% for the SE surgeon that underwent reoperation within a year of the index procedure (P = 0.064), with significantly more reoperations for the same indication among IE and EE surgeons (P = 0.046).

Complex procedures completed by less experienced surgeons may result in longer procedures, higher EBL, and more early reoperations. Study findings implicate a learning curve for revision arthroplasty that continues for several years, warranting consideration of existing patient allocation and referral patterns.