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Prediction Model for Significant Bleeding in Patients with Supratherapeutic International Normalized Ratio After Oral Administration of Warfarin

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Abstract

Background and Objective

The use and range of indications for anticoagulation therapy are steadily growing. The objective of this study was to develop a scoring model to predict the occurrence of significant bleeding in patients taking warfarin with a supra-therapeutic international normalized ratio.

Methods

Data were collected from the medical records of patients taking warfarin with an international normalized ratio > 3.5. The characteristics of bleeding episodes and the need for transfusion of blood products were recorded. Regression models were constructed to predict the occurrence of significant bleeding (requiring a transfusion of more than 2 units of packed red blood cells, intrapericardial or intracranial hemorrhage). The predictive values of previously published scores (ATRIA: anemia, hypertension, severe renal disease, age ≥ 75 years, or prior bleeding history; and ORBIT: old, reduced hemoglobin, bleeding history, kidney insufficiency or antiplatelet treatment) were compared with our New Bleeding Score (NBLDSCOR); the areas under the curve for the receiver-operating characteristic plots were compared using a non-parametric DeLong test.

Results

Significant bleeding was reported in 87 out of 389 admitted patients. With an area under the curve of 0.736 ± 0.032, NBLDSCOR was the best predictor of significant bleeding in this population. Neither ATRIA nor ORBIT was a good predictor of significant bleeding, where the area under the curve for the receiver-operating characteristic plot for ATRIA was 0.654 ± 0.034 and for ORBIT was 0.604 ± 0.033. The predictive power of NBLDSCOR was superior to ATRIA and ORBIT (p < 0.001), while there was no meaningful difference in the predictive powers of ATRIA and ORBIT.

Conclusion

The NBLDSCOR including age, negative Rhesus factor, low hemoglobin, renal impairment, and concomitant peptic ulcer and disseminated cancer is a good predictor of significant bleeding in this patient population.

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References

  1. Hurlen M, Abdelnoor M, Smith P, Erikssen J, Arnesen H. Warfarin, aspirin, or both after myocardial infarction. N Engl J Med. 2002;347(13):969–74.

    Article  CAS  PubMed  Google Scholar 

  2. Investigators ESCoBotSI. Stroke prevention with the oral direct thrombin inhibitor ximelagatran compared with warfarin in patients with non-valvular atrial fibrillation (SPORTIF III): randomised controlled trial. Lancet. 2003;362(9397):1691–8.

    Article  CAS  Google Scholar 

  3. Ridker PM, Goldhaber SZ, Danielson E, Rosenberg Y, Eby CS, Deitcher SR, et al. Long-term, low-intensity warfarin therapy for the prevention of recurrent venous thromboembolism. N Engl J Med. 2003;348(15):1425–34.

    Article  CAS  PubMed  Google Scholar 

  4. Gurwitz JH, Field TS, Harrold LR, Rothschild J, Debellis K, Seger AC, et al. Incidence and preventability of adverse drug events among older persons in the ambulatory setting. JAMA. 2003;289(9):1107–16.

    Article  PubMed  Google Scholar 

  5. Beyth RJ, Quinn L, Landefeld CS. A multicomponent intervention to prevent major bleeding complications in older patients receiving warfarin: a randomized, controlled trial. Ann Intern Med. 2000;133(9):687–95.

    Article  CAS  PubMed  Google Scholar 

  6. Lip GY, Andreotti F, Fauchier L, Huber K, Hylek E, Knight E, et al. Bleeding risk assessment and management in atrial fibrillation patients: a position document from the European Heart Rhythm Association, endorsed by the European Society of Cardiology Working Group on Thrombosis. Europace. 2011;13(5):723–46.

    Article  PubMed  Google Scholar 

  7. Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA. 2001;285(22):2864–70.

    Article  CAS  PubMed  Google Scholar 

  8. Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. Chest. 2010;137(2):263–72.

    Article  PubMed  Google Scholar 

  9. Fang MC, Go AS, Chang Y, Borowsky LH, Pomernacki NK, Udaltsova N, et al. A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) Study. J Am Coll Cardiol. 2011;58(4):395–401.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Roldán V, Marín F, Fernández H, Manzano-Fernandez S, Gallego P, Valdés M, et al. Predictive value of the HAS-BLED and ATRIA bleeding scores for the risk of serious bleeding in a “real-world” population with atrial fibrillation receiving anticoagulant therapy. Chest. 2013;143(1):179–84.

    Article  PubMed  Google Scholar 

  11. Caldeira D, Costa J, Fernandes RM, Pinto FJ, Ferreira JJ. Performance of the HAS-BLED high bleeding-risk category, compared to ATRIA and HEMORR2HAGES in patients with atrial fibrillation: a systematic review and meta-analysis. J Interv Card Electrophysiol. 2014;40(3):277–84.

    Article  PubMed  Google Scholar 

  12. Donzé J, Rodondi N, Waeber G, Monney P, Cornuz J, Aujesky D. Scores to predict major bleeding risk during oral anticoagulation therapy: a prospective validation study. Am J Med. 2012;125(11):1095–102.

    Article  PubMed  Google Scholar 

  13. Apostolakis S, Lane DA, Guo Y, Buller H, Lip GY. Performance of the HEMORR2HAGES, ATRIA, and HAS-BLED bleeding risk-prediction scores in patients with atrial fibrillation undergoing anticoagulation: the AMADEUS (Evaluating the Use of SR34006 Compared to Warfarin or Acenocoumarol in Patients With Atrial Fibrillation) Study. J Am Coll Cardiol. 2012;60(9):861–7.

    Article  PubMed  Google Scholar 

  14. Piccini JP, Fraulo ES, Ansell JE, Fonarow GC, Gersh BJ, Go AS, et al. Outcomes registry for better informed treatment of atrial fibrillation: rationale and design of ORBIT-AF. Am Heart J. 2011;162(4):606–12.e1.

    Article  Google Scholar 

  15. Hijazi Z, Oldgren J, Lindbäck J, Alexander JH, Connolly SJ, Eikelboom JW, et al. The novel biomarker-based ABC (age, biomarkers, clinical history)-bleeding risk score for patients with atrial fibrillation: a derivation and validation study. Lancet. 2016;387(10035):2302–11.

    Article  CAS  PubMed  Google Scholar 

  16. García-Fernández A, Marín F, Roldán V, Galcerá-Jornet E, Martínez-Martínez JG, Valdés M, et al. The HAS-BLED score predicts long-term major bleeding and death in anticoagulated non-valvular atrial fibrillation patients undergoing electrical cardioversion. Int J Cardiol. 2016;217:42–8.

    Article  PubMed  Google Scholar 

  17. Omran H, Bauersachs R, Rübenacker S, Goss F, Hammerstingl C. The HAS-BLED score predicts bleedings during bridging of chronic oral anticoagulation. Thromb Haemost. 2012;107(01):65–73.

    Article  CAS  Google Scholar 

  18. Zhu W, He W, Guo L, Wang X, Hong K. The HAS-BLED score for predicting major bleeding risk in anticoagulated patients with atrial fibrillation: a systematic review and meta-analysis. Clin Cardiol. 2015;38(9):555–61.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Obrien EC, Simon DN, Thomas LE, Hylek EM, Gersh BJ, Ansell JE, et al. The ORBIT bleeding score: a simple bedside score to assess bleeding risk in atrial fibrillation. Eur Heart J. 2015;36(46):3258–64.

    CAS  Google Scholar 

  20. Friberg L, Rosenqvist M, Lip GY. Evaluation of risk stratification schemes for ischaemic stroke and bleeding in 182 678 patients with atrial fibrillation: the Swedish Atrial Fibrillation cohort study. Eur Heart J. 2012;33(12):1500–10.

    Article  PubMed  Google Scholar 

  21. Senoo K, Proietti M, Lane DA, Lip GY. Evaluation of the HAS-BLED, ATRIA, and ORBIT bleeding risk scores in patients with atrial fibrillation taking warfarin. Am J Med. 2016;129(6):600–7.

    Article  CAS  PubMed  Google Scholar 

  22. Yao X, Gersh BJ, Sangaralingham LR, Kent DM, Shah ND, Abraham NS, et al. Comparison of the CHA2DS2-VASc, CHADS2, HAS-BLED, ORBIT, and ATRIA risk scores in predicting non-vitamin K antagonist oral anticoagulants-associated bleeding in patients with atrial fibrillation. Am J Cardiol. 2017;120(9):1549–56. https://doi.org/10.1016/j.amjcard.2017.07.051.

    Article  CAS  PubMed  Google Scholar 

  23. Beyth RJ, Quinn LM, Landefeld CS. Prospective evaluation of an index for predicting the risk of major bleeding in outpatients treated with warfarin. Am J Med. 1998;105(2):91–9.

    Article  CAS  PubMed  Google Scholar 

  24. Hughes M, Lip G. Risk factors for anticoagulation-related bleeding complications in patients with atrial fibrillation: a systematic review. QJM. 2007;100(10):599–607.

    Article  CAS  PubMed  Google Scholar 

  25. Palareti G, Cosmi B. Bleeding with anticoagulation therapy: who is at risk, and how best to identify such patients. Thromb Haemost. 2009;101(2):268–78.

    Google Scholar 

  26. Lip GY, Frison L, Halperin JL, Lane DA. Comparative validation of a novel risk score for predicting bleeding risk in anticoagulated patients with atrial fibrillation: the HAS-BLED (Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile INR, Elderly, Drugs/Alcohol Concomitantly) score. J Am Coll Cardiol. 2011;57(2):173–80.

    Article  CAS  PubMed  Google Scholar 

  27. Prandoni P, Lensing AW, Piccioli A, Bernardi E, Simioni P, Girolami B, et al. Recurrent venous thromboembolism and bleeding complications during anticoagulant treatment in patients with cancer and venous thrombosis. Blood. 2002;100(10):3484–8.

    Article  CAS  PubMed  Google Scholar 

  28. Wallentin L, Hijazi Z, Andersson U, Alexander JH, De Caterina R, Hanna M, et al. Growth differentiation factor 15, a marker of oxidative stress and inflammation, for risk assessment in patients with atrial fibrillation: insights from the Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation (ARISTOTLE) trial. Circulation. 2014;130(21):1847–58.

    Article  CAS  PubMed  Google Scholar 

  29. Bayan K, Tüzün Y, Yılmaz Ş, Dursun M, Canoruc F. Clarifying the relationship between ABO/Rhesus blood group antigens and upper gastrointestinal bleeding. Dig Dis Sci. 2009;54(5):1029–34.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

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Corresponding author

Correspondence to Nader D. Nader.

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Funding

No sources of funding were received for the conduct of this study or the preparation of this article.

Conflict of interest

Leili Pourafkari, Aidin Baghbani-Oskouei, Safa Savadi-Oskouei, Samad Ghaffari, Raziye Parizad, Arezou Tajlil, and Nader D. Nader have no conflicts of interest that are directly relevant to the contents of this article.

Ethics approval

All procedures in this study were in accordance with the 1964 Declaration of Helsinki and the study protocol was reviewed and approved by the Institutional Review Board and Ethics Committee of Tabriz University of Medical Sciences.

Consent to participate

This study was exempted from the informed consent process because of the retrospective design of the study, but all patient data were handled with special care to assure that patient confidentiality was maintained.

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Pourafkari, L., Baghbani-Oskouei, A., Savadi-Oskouei, S. et al. Prediction Model for Significant Bleeding in Patients with Supratherapeutic International Normalized Ratio After Oral Administration of Warfarin. Clin Drug Investig 39, 533–542 (2019). https://doi.org/10.1007/s40261-019-00774-9

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