Incidence and predictors of 2-year mortality following percutaneous left atrial appendage occlusion in the EWOLUTION trial

Abstract Aims Sufficient survival time following left atrial appendage occlusion (LAAO) is essential for ensuring the efficacy and cost-effectiveness of this strategy for stroke prevention. Understanding prognostic factors for early mortality after LAAO could optimize patient selection. In the current study, we perform an in-depth analysis of 2-year mortality after LAAO, focusing particularly on potential predictors. Methods and results The EWOLUTION registry is a real-world cohort comprising 1020 patients that underwent LAAO. Endpoint definitions were pre-specified, and death was categorized as cardiovascular, non-cardiovascular, or unknown origin. Mortality rates were calculated from Kaplan–Meier estimates. Baseline characteristics significantly associated with death in univariate Cox regression analysis were incorporated into the multivariate analysis. All multivariate predictors were included in a risk model. Two-year mortality rate was 16.4% confidence interval (CI): 14.0–18.7%, with 50% of patients dying from a non-cardiovascular cause. Multivariate baseline predictors of 2-year mortality included age hazard ratio (HR) 1.05, CI: 1.03–1.08, per year increase, heart failure (HR 1.73, CI: 1.24–2.41), vascular disease (HR 1.47, CI: 1.05–2.05), valvular disease (HR 1.63, CI: 1.15–2.33), abnormal liver function (HR 1.80, CI: 1.02–3.17), and abnormal renal function (HR 1.58, CI: 1.10–2.27). Mortality rate exhibited a gradual rise as the number of risk factors increased, reaching 46.1% in patients presenting with five or six risk factors. Conclusion One in six patients died within 2 years after LAAO. We identified six independent predictors of mortality. When combined, this model showed a gradual increase in mortality rate with a growing number of risk factors, which may guide appropriate patient selection for LAAO. Clinical trial registration The original EWOLUTION registry was registered at clinicaltrials.gov under identifier NCT01972282.