Five-Year Clinical Outcome of Asymptomatic vs. Symptomatic Severe Aortic Stenosis After Aortic Valve Replacement

Circ J. 2017 Mar 24;81(4):485-494. doi: 10.1253/circj.CJ-16-0998. Epub 2017 Feb 9.

Abstract

Background: There is discordance regarding the effect of symptom status before aortic valve replacement (AVR) on long-term outcome after AVR in severe aortic stenosis (AS).Methods and Results:The CURRENT AS registry is a multicenter retrospective registry enrolling 3,815 consecutive patients with severe AS. Among 1,196 patients managed with the initial AVR strategy, long-term clinical outcomes were compared between the symptomatic patients (n=905), and asymptomatic patients (n=291). Median follow-up interval was 1337 days with a 91% follow-up rate at 2 years. AVR was performed in 886 patients (98%) in the symptomatic group and in 287 patients (99%) in the asymptomatic group. Symptomatic patients were older and more often had comorbidities than asymptomatic patients with similar echocardiographic AS severity. The cumulative 5-year incidences of all-cause death and heart failure (HF) hospitalization were significantly higher in symptomatic patients than in asymptomatic patients (25.6% vs. 15.4%, P=0.001, and 14.2% vs. 3.8%, P<0.001, respectively). On landmark analysis at 30 days after AVR, the differences in mortality and HF hospitalization between the 2 groups were mainly observed beyond 30 days.

Conclusions: When managed with the initial AVR strategy, the long-term outcomes of symptomatic severe AS were worse than those of asymptomatic severe AS. Early AVR strategy might be recommended in some selected asymptomatic severe AS patients with reasonable operative risk.

Publication types

  • Multicenter Study

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Aortic Valve / surgery
  • Aortic Valve Stenosis / etiology*
  • Comorbidity
  • Echocardiography
  • Female
  • Heart Valve Prosthesis Implantation / adverse effects*
  • Humans
  • Male
  • Middle Aged
  • Retrospective Studies
  • Risk Factors
  • Symptom Assessment / statistics & numerical data*