Clopidogrel and bleeding in patients undergoing elective coronary artery bypass grafting

LiQian Chen1, Arthur W Bracey, Rajko Radovancevic

  • 1Department of Cardiovascular Anesthesiology, Texas Heart Institute at St Luke's Episcopal Hospital, Houston, Tex, USA.

Insights

A strict transfusion algorithm significantly reduced blood component use in patients undergoing coronary artery bypass grafting. Preoperative platelet function tests identified those at high risk for bleeding, potentially further minimizing transfusions.

Area of Science:

  • Cardiovascular Surgery
  • Transfusion Medicine
  • Hematology

Background:

  • Minimizing blood transfusions is crucial in patients undergoing coronary artery bypass grafting (CABG), especially those with recent clopidogrel exposure.
  • Platelet dysfunction after clopidogrel use can increase perioperative bleeding and transfusion needs.

Purpose of the Study:

  • To evaluate the effectiveness of a strict algorithm-driven transfusion strategy in reducing blood product usage.
  • To identify laboratory tests that predict platelet dysfunction and guide treatment in patients undergoing CABG after clopidogrel exposure.

Main Methods:

  • A study involving 45 patients on clopidogrel within 6 days of CABG and 45 control subjects.
  • Measurement of prothrombin time, activated partial thromboplastin time, platelet count, and platelet function tests.
  • Transfusions were administered only when both laboratory and clinical criteria for bleeding were met.

Main Results:

  • Algorithm-driven bleeding treatment reduced overall blood component transfusions by approximately one-third.
  • Clopidogrel recipients required significantly more platelet and packed red blood cell transfusions compared to controls.
  • Preoperative adenosine diphosphate aggregometry (<40% response) predicted severe coagulopathy and high transfusion requirements.

Conclusions:

  • A strict transfusion algorithm effectively reduces the need for blood components in CABG patients.
  • Preheparin platelet function testing using adenosine diphosphate aggregometry can identify high-risk patients, potentially further optimizing transfusion strategies.
Abstract

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