Impact of Operator Volumes and Experience on Outcomes After Percutaneous Coronary Intervention: Insights From the Veterans Affairs Clinical Assessment, Reporting and Tracking (CART) Program

Background Recent analyses of the volume-outcome relationship for percutaneous coronary intervention (PCI) have suggested a less robust association than previously reported. It is unknown if novel factors such as lifetime operator experience influence this relationship. Objectives To assess the relationship between annual volumes and outcomes for PCI and determine whether lifetime operator experience modulates the association. Methods Annual PCI volumes for facilities and operators within the Veterans Affairs Healthcare System and their relationship with 30-day mortality following PCI were described. The influence of operator lifetime experience on the volume-outcome relationship was assessed. Hierarchical logistic regression was used to adjust for patient and procedural factors. Results 57,608 PCIs performed from 2013 to 2018 by 382 operators and 63 institutions were analyzed. Operator annualized PCI volume averaged 47.6 (standard deviation [SD] 49.1) and site annualized volume averaged 189.2 (SD 105.2). Median operator experience was 9.0 years (interquartile range [IQR] 4.0–15.0). There was no independent relationship between operator annual volume, institutional volume, or operator lifetime experience with 30-day mortality (p > 0.10). However, the interaction between operator volume and lifetime experience was associated with a marginal decrease in mortality (odds ratio [OR] 0.9998, 95% CI 0.9996–0.9999). Conclusions There were no significant associations between facility or operator-level procedural volume and 30-day mortality following PCI in a nationally integrated healthcare system. There was a marginal association between the interaction of operator lifetime experience, operator annual volume, and 30-day mortality that is unlikely to be clinically relevant, though does suggest an opportunity to explore novel factors that may influence the volume-outcome relationship.