Prediction of severe bleeding after coronary surgery: the WILL-BLEED Risk Score

Fausto Biancari1, Debora Brascia, Francesco Onorati

  • 1Prof. Fausto Biancari, Department of Surgery, Oulu University Hospital, PL 21, 90029 Oulu, Finland, Tel.: +358 40 7333 973, Fax: +358 8 315 2486,

Insights

A new WILL-BLEED score effectively identifies patients at high risk for severe bleeding after coronary artery bypass grafting (CABG). This simple tool aids in risk stratification, improving patient outcomes by predicting severe bleeding events.

Area of Science:

  • Cardiovascular Surgery
  • Anesthesiology
  • Critical Care Medicine

Background:

  • Severe perioperative bleeding after coronary artery bypass grafting (CABG) is a significant complication associated with adverse patient outcomes.
  • Accurate prediction of severe bleeding is crucial for risk stratification and management in CABG patients.
  • Existing bleeding risk scores may have limitations in predicting severe bleeding after CABG.

Purpose of the Study:

  • To derive and validate an additive risk score, named WILL-BLEED, for the prediction of severe perioperative bleeding in patients undergoing CABG.
  • To compare the predictive performance of the WILL-BLEED score against other established bleeding risk scores.

Main Methods:

  • A risk score was derived from 2494 patients and validated in 1250 patients from the E-CABG registry.
  • Severe bleeding was defined as E-CABG bleeding grades 2-3 (transfusion of >4 units of red blood cells or reoperation for bleeding).
  • Independent predictors identified included preoperative anemia, female gender, reduced eGFR, potent antiplatelet drug use, critical preoperative state, acute coronary syndrome, and specific anticoagulants.

Main Results:

  • The overall incidence of severe bleeding was 6.4%.
  • The WILL-BLEED score demonstrated a significant association with increasing rates of severe bleeding in both derivation and validation cohorts (p<0.0001).
  • The WILL-BLEED score exhibited superior discriminatory ability (AUC 0.725) compared to ACTION, CRUSADE, Papworth, TRUST, and TRACK scores, showing significant improvements in reclassification and discrimination.

Conclusions:

  • The WILL-BLEED risk score is a simple and effective tool for stratifying patients at high risk of severe bleeding after CABG.
  • This score offers improved predictive accuracy over existing scores, facilitating better clinical decision-making and patient management.
  • Implementation of the WILL-BLEED score can aid in identifying high-risk individuals, potentially leading to tailored interventions and improved surgical outcomes.

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