Literature DB >> 27904903

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

Fausto Biancari1, Debora Brascia, Francesco Onorati, Daniel Reichart, Andrea Perrotti, Vito G Ruggieri, Giuseppe Santarpino, Daniele Maselli, Giovanni Mariscalco, Riccardo Gherli, Antonino S Rubino, Marisa De Feo, Giuseppe Gatti, Francesco Santini, Magnus Dalén, Matteo Saccocci, Eeva-Maija Kinnunen, Juhani K E Airaksinen, Paola D'Errigo, Stefano Rosato, Francesco Nicolini.   

Abstract

Severe perioperative bleeding after coronary artery bypass grafting (CABG) is associated with poor outcome. An additive score for prediction of severe bleeding was derived (n=2494) and validated (n=1250) in 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). The overall incidence of severe bleeding was 6.4 %. Preoperative anaemia (3 points), female gender (2 points), eGFR <45 ml/min/1.73 m2 (3 points), potent antiplatelet drugs discontinued less than five days (2 points), critical preoperative state (5 points), acute coronary syndrome (2 points), use of low-molecular-weight heparin/fondaparinux/unfractionated heparin (1 point) were independent predictors of severe bleeding. The WILL-BLEED score was associated with increasing rates of severe bleeding in both the derivation and validation cohorts (scores 0-3: 2.9 % vs 3.4 %; scores 4-6: 6.8 % vs 7.5 %; scores>6: 24.6 % vs 24.2 %, both p<0.0001). The WILL-BLEED score had a better discriminatory ability (AUC 0.725) for prediction of severe bleeding compared to the ACTION (AUC 0.671), CRUSADE (AUC 0.642), Papworth (AUC 0.605), TRUST (AUC 0.660) and TRACK (AUC 0.640) bleeding scores. The net reclassification index and integrated discrimination improvement using the WILL-BLEED score as opposed to the other bleeding scores were significant (p<0.0001). The decision curve analysis demonstrated a net benefit with the WILL-BLEED score compared to the other bleeding scores. In conclusion, the WILL-BLEED risk score is a simple risk stratification method which allows the identification of patients at high risk of severe bleeding after CABG.

Entities:  

Keywords:  Bleeding; CABG; cardiac surgery; coronary artery bypass grafting; risk score

Mesh:

Year:  2016        PMID: 27904903     DOI: 10.1160/TH16-09-0721

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  8 in total

Review 1.  Preventing and managing catastrophic bleeding during extracorporeal circulation.

Authors:  Keyvan Karkouti; Loretta T S Ho
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

2.  Association of Plasma Fibrinogen and Thromboelastography With Blood Loss in Complex Cardiac Surgery.

Authors:  Eline A Vlot; Eric P A van Dongen; Laura M Willemsen; Jur M Ten Berg; Christian M Hackeng; Stephan A Loer; Peter G Noordzij
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

3.  CRUSADE Score is Superior to Platelet Function Testing for Prediction of Bleeding in Patients Following Coronary Interventions.

Authors:  Junghee Bang; Sun Young Choi; Moo Hyun Kim; Victor Serebruany
Journal:  EBioMedicine       Date:  2017-06-01       Impact factor: 8.143

4.  Bleeding risk stratification in coronary artery surgery: the should-not-bleed score.

Authors:  Mirna Petricevic; Mate Petricevic; Marijan Pasalic; Branka Golubic Cepulic; Mirela Raos; Vesna Vasicek; Klaus Goerlinger; Kresimir Rotim; Hrvoje Gasparovic; Bojan Biocina
Journal:  J Cardiothorac Surg       Date:  2021-04-21       Impact factor: 1.637

5.  Preoperative patient factors associated with blood product use in cardiac surgery, a retrospective cohort study.

Authors:  Aditya Eranki; Ashley Wilson-Smith; Umar Ali; Christopher Merry
Journal:  J Cardiothorac Surg       Date:  2022-02-23       Impact factor: 1.637

6.  Safety Comparison of Monotherapy Aspirin to Dual Antiplatelet Therapy Following Coronary Artery Bypass Surgery.

Authors:  Scott D Nei; Kyle S Wamsley; Kristin C Mara; John M Stulak; Joseph J Zieminski
Journal:  Clin Appl Thromb Hemost       Date:  2022 Jan-Dec       Impact factor: 3.512

7.  Machine learning algorithms to predict major bleeding after isolated coronary artery bypass grafting.

Authors:  Yuchen Gao; Xiaojie Liu; Lijuan Wang; Sudena Wang; Yang Yu; Yao Ding; Jingcan Wang; Hushan Ao
Journal:  Front Cardiovasc Med       Date:  2022-07-28

8.  Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting.

Authors:  Ying Liao; Rongting Zhang; Shanshan Shi; Xueqin Lin; Yani Wang; Yun Wang; Weihua Chen; Yukun Zhao; Kunming Bao; Kaijun Zhang; Liling Chen; Yong Fang
Journal:  BMC Cardiovasc Disord       Date:  2022-10-06       Impact factor: 2.174

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.