Predictors of bioprosthetic valve dysfunction after transcatheter aortic valve implantation

BACKGROUND: Recently, the Valve Academic Research Consortium (VARC)-3 criteria redefined bioprosthetic valve dysfunction (BVD) after transcatheter aortic valve implantation (TAVI). However, the rate of BVD is scarcely reported in current practice. AIMS: We aimed to evaluate the rate and predictors of BVD after TAVI based on the VARC-3 criteria. METHODS: We retrospectively analysed patients who had undergone TAVI using single-centre data. BVD was reported as exposure-adjusted event rates with a patient-year unit (per 100 patient-years). Predictors of BVD after TAVI were analysed using Fine-Gray competing risk regression to account for the competing risk of death. RESULTS: Among 514 patients, the rate of BVD was 7.5 events per 100 patient-years (n=74) at a median follow-up of 1.9 years. The main cause of BVD was moderate or severe prosthesis-patient mismatch (PPM; n=59). The Fine-Gray model demonstrated that predilatation was associated with a lower rate of BVD, mainly moderate or severe PPM (adjusted subdistribution hazard ratio [sub-HR] 0.42, 95% confidence interval [CI]: 0.21-0.88). In a subgroup analysis, the patients with a small aortic annulus (area