Predictiveness of different preoperative risk assessments for postoperative bleeding after coronary artery bypass

Eren Gunertem1, Salim Urcun2, Arda Aybars Pala2

  • 1Department of Cardiovascular Surgery, Baskent University Faculty of Medicine, Ankara, Turkey.

Perfusion
|July 14, 2020
PubMed

Insights

Preoperative bleeding risk scores like PAPWORTH and WILL-BLEED can predict postoperative bleeding in coronary artery bypass graft patients. These tools aid in better patient blood management and reduce complications.

Area of Science:

  • Cardiovascular Surgery
  • Anesthesiology
  • Critical Care Medicine

Background:

  • Postoperative bleeding is a major cause of morbidity and mortality after cardiac surgery.
  • Existing guidelines and patient blood management strategies aim to minimize perioperative blood loss.
  • Preoperative bleeding risk assessments have been developed to stratify patient risk.

Purpose of the Study:

  • To evaluate the correlation between established scoring systems and actual postoperative bleeding in patients undergoing coronary artery bypass graft (CABG) surgery.
  • To identify the most suitable preoperative bleeding risk assessment tool for CABG patients.

Main Methods:

  • A retrospective analysis of 550 consecutive patients undergoing isolated CABG surgery.
  • Inclusion criteria: age >18 years, elective or emergent myocardial revascularization with cardiopulmonary bypass.
  • Data collected included bleeding risk score variables, chest tube drainage, blood product use, hematocrit changes, reoperations, ventilation duration, ICU stay, and hospital stay. Operative mortality was the primary endpoint.

Main Results:

  • PAPWORTH and WILL-BLEED risk assessments demonstrated better performance in predicting moderate to severe bleeding (E-CABG grade 2 and 3).
  • TRACK, TRUST, and ACTA-PORT scales showed limited ability to differentiate patients with significant postoperative bleeding.
  • The study identified specific scoring systems effective for risk stratification in CABG patients.

Conclusions:

  • Preoperative bleeding risk scores can effectively predict postoperative bleeding and transfusion requirements in CABG patients.
  • Utilizing appropriate risk assessment tools enables tailored patient blood management protocols.
  • Improved prediction can lead to reduced transfusions, fewer reoperations, and better patient outcomes.
Abstract

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