Predictors of All-Cause Mortality After Successful Transcatheter Aortic Valve Implantation in Patients With Atrial

Masanori Yamamoto1, Kentaro Hayashida2, Christian Hengstenberg3

  • 1Department of Cardiology, Toyohashi Heart Center, Aichi, Japan.

PubMed

Insights

Predictors of long-term mortality after transcatheter aortic valve implantation (TAVI) in atrial fibrillation patients include age, renal function, and heart failure. Improved risk models enhance patient prognosis following TAVI.

Area of Science:

  • Cardiovascular Medicine
  • Interventional Cardiology
  • Clinical Epidemiology

Background:

  • Atrial fibrillation (AF) is common in patients undergoing transcatheter aortic valve implantation (TAVI).
  • AF is associated with worse outcomes and increased mortality after TAVI.
  • Predicting long-term mortality in these patients is crucial for improving prognosis.

Purpose of the Study:

  • To identify predictors of long-term all-cause mortality in patients with AF after successful TAVI.
  • To evaluate the performance of a new risk prediction model compared to existing scores.

Main Methods:

  • Analysis of data from the multicenter, prospective ENVISAGE-TAVI AF randomized controlled trial.
  • A Cox proportional hazard model with a stepwise approach was used to identify mortality predictors.
  • Performance assessment of the developed model and established risk scores (STS, CHA2DS2-VASc, HAS-BLED) using concordance statistics (c-statistic).

Main Results:

  • 178 out of 1,426 patients (12.5%) died during a median follow-up of 548 days.
  • Key mortality predictors identified: older age, impaired renal function, nonparoxysmal AF, excessive alcohol use, NYHA class III/IV heart failure, peripheral artery disease, and history of bleeding.
  • The novel model (c-statistic 0.67) demonstrated superior discrimination compared to STS (0.56), CHA2DS2-VASc (0.54), and HAS-BLED (0.58) scores.

Conclusions:

  • Several modifiable and nonmodifiable clinical factors significantly predict long-term mortality post-TAVI in AF patients.
  • The developed risk stratification model shows improved accuracy in predicting mortality.
  • Enhanced risk assessment can potentially improve long-term outcomes for TAVI patients with AF.

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