Usefulness of periprocedural bleeding to predict outcome after transcatheter aortic valve implantation

Brian P Halliday1, Rafal Dworakowski, Beth Brickham

  • 1Department of Cardiology, King's College Hospital, Kings Health Partners, Denmark Hill, London, United Kingdom.

Insights

Life-threatening bleeding after transcatheter aortic valve implantation predicts poor outcomes. Patient factors like vascular disease and diabetes increase bleeding risk, highlighting the need for careful management.

Area of Science:

  • Cardiology
  • Vascular Surgery
  • Interventional Cardiology

Background:

  • Bleeding complications are recognized predictors of adverse outcomes in cardiac interventions.
  • The Valve Academic Research Consortium (VARC) introduced a new definition for bleeding events.

Purpose of the Study:

  • To evaluate if the new VARC bleeding definition predicts outcomes after transcatheter aortic valve implantation (TAVI).
  • To identify patient characteristics associated with periprocedural bleeding.
  • To assess the impact of blood transfusion on outcomes following TAVI.

Main Methods:

  • Retrospective analysis of 101 patients undergoing TAVI (transapical or transfemoral) between August 2007 and November 2010.
  • Examination of the association between bleeding, blood transfusion, and in-hospital and 6-month mortality.
  • Logistic regression modeling to identify predictors of bleeding.

Main Results:

  • Life-threatening bleeding occurred in 4.9% of patients.
  • Patients with life-threatening bleeding had significantly higher in-hospital mortality (60.0% vs 7.3%).
  • Life-threatening bleeding, hemoglobin decrease >5 g/dl, and >2 U blood transfusion were linked to increased 6-month mortality. Vascular disease, diabetes, and preprocedural anemia predicted bleeding incidence.

Conclusions:

  • Life-threatening periprocedural bleeding after TAVI is associated with poorer patient outcomes.
  • The VARC bleeding definition appears relevant for predicting outcomes in TAVI patients.
  • Preprocedural patient factors like anemia and comorbidities influence bleeding risk, necessitating targeted management strategies.

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