Being this an observational registry aiming at quantifying effect estimates without direct comparisons to literature benchmarks, we relied on confidence interval profiling for sample size justification, without proceeding with formal power analysis. As the main analysis is a pooled analysis of patients with multivessel disease and/or long lesions, an overall and comprehensive analysis is planned as the primary analytical approach. Accordingly, we computed that a target sample of 1000 patients will enable the computation of reasonably precise 95% confidence intervals. Specifically, assuming a 4.2% MACE rate at 1 year (in keeping with ABSORBD EXTEND data), confidence intervals computed with the adjusted Wald method would be 3.1% to 5.6% for a 1000-patient sample (point estimate 42/1000 [4.2%]).