Thromb Haemost 2017; 117(04): 647-649
DOI: 10.1160/TH17-02-0131
Invited Editorial Focus
Schattauer GmbH

Predicting bleeding risk after coronary surgery: Let’s focus on modifiable risk factors and simple, practical decision making

Vanessa Roldan
1   Servicio de Hematología y Oncología Médica, Hospital Universitario Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
,
Francisco Marín
2   Servicio de Cardiología, Hospital Clinico Universitario Virgen de la Arrixaca, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
› Author Affiliations
Further Information

Publication History

Received: 23 February 2017

Accepted: 23 February 2017

Publication Date:
28 November 2017 (online)

Editorial Focus on Biancari et al. Thromb Haemost 2017; 117: 445–456.

 
  • References

  • 1 Pisters R, Lane DA, Nieuwlaat R. et al. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest 2010; 138: 1093-1100
  • 2 Lip GYH, Andreotti F, Fauchier L. et al. Bleeding risk assessment and management in atrial fibrillation patients. Executive Summary of a Position Document from the European Heart Rhythm Association (EHRA), endorsed by the European Society of Cardiology (ESC) Working Group on Thrombosis. Thromb Haemost 2011; 106: 997-1011
  • 3 Subherwal S, Bach RG, Chen AY. et al. Baseline risk of major bleeding in non-ST-segment-elevation myocardial infarction: the CRUSADE (Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the ACC/AHA Guidelines) Bleeding Score. Circulation 2009; 119: 1873-1882
  • 4 Roldan V, Marín F. Assessment of bleeding risk in acute ill medical patients. An essential part of venous thromboembolism prevention Thromb Haemost 2016; 116: 403-404
  • 5 Kittelson JM, Steg PG, Halperin JL. et al. Bivariate evaluation of thromboembolism and bleeding in clinical trials of anticoagulants in patients with atrial fibrillation. Thromb Haemost 2016; 116: 544-553
  • 6 Sandén P, Renlund H, Svensson PJ, Själander A. Bleeding complications and mortality in warfarin-treated VTE patients, dependence of INR variability and iTTR. Thromb Haemost 2017; 117: 27-32
  • 7 Vries MJA, van der Meijden PEJ, Henskens YMC. et al. Assessment of bleeding risk in patients with coronary artery disease on dual antiplatelet therapy. A systematic review. Thromb Haemost 2016; 115: 7-24
  • 8 Despotis G, Avidan M, Eby C. Prediction and management of bleeding in cardiac surgery. J Thromb Haemost 2009; 7 Suppl (01) 111-117
  • 9 Biancari F, Brascia D, Onorati F. et al. Prediction of severe bleeding after coronary surgery: the WILL-BLEED Risk Score. Thromb Haemost 2017; 117: 445-456
  • 10 Mehran R, Pocock SJ, Nikolsky E. et al. A risk score to predict bleeding in patients with acute coronary syndromes. J Am Coll Cardiol 2010; 55: 2556-2566
  • 11 Mathews R, Peterson ED, Chen AY. et al. In-hospital major bleeding during ST-elevation and non-ST-elevation myocardial infarction care: derivation and validation of a model from the ACTION Registry®-GWTGTM. Am J Cardiol 2011; 107: 1136-1143
  • 12 Vuylsteke A, Pagel C, Gerrard C. et al. The Papworth Bleeding Risk Score: a stratification scheme for identifying cardiac surgery patients at risk of excessive early postoperative bleeding. Eur J Cardiothorac Surg 2011; 39: 924-930
  • 13 Alghamdi AA, Davis A, Brister S. et al. Development and validation of Transfusion Risk Understanding Scoring Tool (TRUST) to stratify cardiac surgery patients according to their blood transfusion needs. Transfusion 2006; 46: 1120-1129
  • 14 Ranucci M, Castelvecchio S, Frigiola A. et al. Predicting transfusions in cardiac surgery: the easier, the better: the Transfusion Risk and Clinical Knowledge score. Vox Sang 2009; 96: 324-332
  • 15 Rosenberg DJ, Press A, Fishbein J. et al. External validation of the IMPROVE Bleeding Risk Assessment Model in medical patients. Thromb Haemost 2016; 116: 530-536
  • 16 Goudie R, Sterne JAC, Verheyden V. et al. Risk scores to facilitate preoperative prediction of transfusion and large volume blood transfusion associated with adult cardiac surgery. Br J Anaesth 2015; 114: 757-766
  • 17 Friberg L, Skeppholm M. Usefulness of Health Registers for detection of bleeding events in outcome studies. Thromb Haemost 2016; 116: 1131-1139
  • 18 Lip GYH, Lane DA. Bleeding risk assessment in atrial fibrillation: observations on the use and misuse of bleeding risk scores. J Thromb Haemost 2016; 14: 1711-1714
  • 19 Lip GYH, Lane DA. Assessing bleeding risk in atrial fibrillation with the HAS-BLED and ORBIT scores: clinical application requires focus on the reversible bleeding risk factors. Eur Heart J 2015; 36: 3265-3267
  • 20 Vasques F, Kinnunen E-M, Pol M. et al. Outcome of Jehovah’s Witnesses after adult cardiac surgery: systematic review and meta-analysis of comparative studies. Transfusion 2016; 56: 2146-2153
  • 21 Cardiovascular P, Eapci I, France JC. et al. 2014 ESC/EACTS Guidelines on myocardial revascularization. Eur Heart J 2014; 35: 2541-2619
  • 22 Hansson EC, Jidéus L, Åberg B. et al. Coronary artery bypass grafting-related bleeding complications in patients treated with ticagrelor or clopidogrel: A nationwide study. Eur Heart J 2016; 37: 189-197
  • 23 Szummer K, Oldgren J, Lindhagen L. et al. Association between the use of fondaparinux vs low-molecular-weight heparin and clinical outcomes in patients with non-ST-segment elevation myocardial infarction. J Am Med Assoc 2015; 313: 707-716
  • 24 Silvain J, Beygui F, Barthélémy O. et al. Efficacy and safety of enoxaparin versus unfractionated heparin during percutaneous coronary intervention: systematic review and meta-analysis. Br Med J 2012; 344: e553