Literature DB >> 29510426

Incident Risk Factors and Major Bleeding in Patients with Atrial Fibrillation Treated with Oral Anticoagulants: A Comparison of Baseline, Follow-up and Delta HAS-BLED Scores with an Approach Focused on Modifiable Bleeding Risk Factors.

Tze-Fan Chao1,2, Gregory Y H Lip2,3, Yenn-Jiang Lin1,2, Shih-Lin Chang1,2, Li-Wei Lo1,2, Yu-Feng Hu1,2, Ta-Chuan Tuan1,2, Jo-Nan Liao1,2, Fa-Po Chung1,2, Tzeng-Ji Chen4, Shih-Ann Chen1,2.   

Abstract

AIM: When assessing bleeding risk in patients with atrial fibrillation (AF), risk stratification is often based on the baseline risks. We aimed to investigate changes in bleeding risk factors and alterations in the HAS-BLED score in AF patients. We hypothesized that a follow-up HAS-BLED score and the 'delta HAS-BLED score' (reflecting the change in score between baseline and follow-up) would be more predictive of major bleeding, when compared with baseline HAS-BLED score. METHODS AND
RESULTS: A total of 19,566 AF patients receiving warfarin and baseline HAS-BLED score ≤2 were studied. After a follow-up of 93,783 person-years, 3,032 major bleeds were observed. The accuracies of baseline, follow-up, and delta HAS-BLED scores as well as cumulative numbers of baseline modifiable bleeding risk factors, in predicting subsequent major bleeding, were analysed and compared. The mean baseline HAS-BLED score was 1.43 which increased to 2.45 with a mean 'delta HAS-BLED score' of 1.03. The HAS-BLED score remained unchanged in 38.2% of patients. Of those patients experiencing major bleeding, 76.6% had a 'delta HAS-BLED' score ≥1, compared with only 59.0% in patients without major bleeding (p < 0.001). For prediction of major bleeding, AUC was significantly higher for the follow-up HAS-BLED (0.63) or delta HAS-BLED (0.62) scores, compared with baseline HAS-BLED score (0.54). The number of baseline modifiable risk factors was non-significantly predictive of major bleeding (AUC = 0.49).
CONCLUSION: In this 'real-world' nationwide AF cohort, follow-up HAS-BLED or 'delta HAS-BLED score' was more predictive of major bleeding compared with baseline HAS-BLED or the simple determination of 'modifiable bleeding risk factors'. Bleeding risk in AF is a dynamic process and use of the HAS-BLED score should be to 'flag up' patients potentially at risk for more regular review and follow-up, and to address the modifiable bleeding risk factors during follow-up visits. Schattauer GmbH Stuttgart.

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Year:  2018        PMID: 29510426     DOI: 10.1055/s-0038-1636534

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


  31 in total

1.  Using the scoring schemes in the right way: the dynamic assessment of stroke and bleeding risk in patients with atrial fibrillation.

Authors:  Tze-Fan Chao; Shih-Ann Chen
Journal:  J Thorac Dis       Date:  2018-06       Impact factor: 2.895

2.  Variation in bleeding risk estimates among online calculators: Cross-sectional study of apps used by and for patients with atrial fibrillation.

Authors:  Ryan Pelletier; Jeff Nagge; John-Michael Gamble
Journal:  Can Fam Physician       Date:  2022-04       Impact factor: 3.275

3.  Is It Safe (and When) to Stop Oral Anticoagulation After Ablation for Atrial fibrillation? (Do We Have Enough Evidence to Solve the Dilemma?).

Authors:  José Luis Merino; Juan Tamargo
Journal:  Cardiovasc Drugs Ther       Date:  2021-09-07       Impact factor: 3.727

4.  Anticoagulation Control in Older Atrial Fibrillation Patients Receiving Vitamin K Antagonist Therapy for Stroke Prevention.

Authors:  Hanis Zulkifly; Gregory Y H Lip; Deirdre A Lane
Journal:  Int J Clin Pract       Date:  2022-01-31       Impact factor: 3.149

Review 5.  Stroke prevention strategies in high-risk patients with atrial fibrillation.

Authors:  Agnieszka Kotalczyk; Michał Mazurek; Zbigniew Kalarus; Tatjana S Potpara; Gregory Y H Lip
Journal:  Nat Rev Cardiol       Date:  2020-10-27       Impact factor: 32.419

6.  European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population.

Authors:  Jens Cosedis Nielsen; Yenn-Jiang Lin; Marcio Jansen de Oliveira Figueiredo; Alireza Sepehri Shamloo; Alberto Alfie; Serge Boveda; Nikolaos Dagres; Dario Di Toro; Lee L Eckhardt; Kenneth Ellenbogen; Carina Hardy; Takanori Ikeda; Aparna Jaswal; Elizabeth Kaufman; Andrew Krahn; Kengo Kusano; Valentina Kutyifa; Han S Lim; Gregory Y H Lip; Santiago Nava-Townsend; Hui-Nam Pak; Gerardo Rodríguez Diez; William Sauer; Anil Saxena; Jesper Hastrup Svendsen; Diego Vanegas; Marmar Vaseghi; Arthur Wilde; T Jared Bunch; Alfred E Buxton; Gonzalo Calvimontes; Tze-Fan Chao; Lars Eckardt; Heidi Estner; Anne M Gillis; Rodrigo Isa; Josef Kautzner; Philippe Maury; Joshua D Moss; Gi-Byung Nam; Brian Olshansky; Luis Fernando Pava Molano; Mauricio Pimentel; Mukund Prabhu; Wendy S Tzou; Philipp Sommer; Janice Swampillai; Alejandro Vidal; Thomas Deneke; Gerhard Hindricks; Christophe Leclercq
Journal:  Europace       Date:  2020-08-01       Impact factor: 5.214

7.  Association of N-terminal pro B-type natriuretic peptide (NT-proBNP) change with the risk of atrial fibrillation in the ARIC cohort.

Authors:  Linzi Li; Elizabeth Selvin; Pamela L Lutsey; Ron C Hoogeveen; Wesley T O'Neal; Elsayed Z Soliman; Lin Y Chen; Alvaro Alonso
Journal:  Am Heart J       Date:  2018-08-10       Impact factor: 4.749

8.  Predicting Thromboembolic and Bleeding Event Risk in Patients with Non-Valvular Atrial Fibrillation: A Systematic Review.

Authors:  Ethan D Borre; Adam Goode; Giselle Raitz; Bimal Shah; Angela Lowenstern; Ranee Chatterjee; Lauren Sharan; Nancy M Allen LaPointe; Roshini Yapa; J Kelly Davis; Kathryn Lallinger; Robyn Schmidt; Andrzej Kosinski; Sana M Al-Khatib; Gillian D Sanders
Journal:  Thromb Haemost       Date:  2018-10-30       Impact factor: 6.681

9.  Incident Comorbidities, Aging and the Risk of Stroke in 608,108 Patients with Atrial Fibrillation: A Nationwide Analysis.

Authors:  Laurent Fauchier; Alexandre Bodin; Arnaud Bisson; Julien Herbert; Pascal Spiesser; Nicolas Clementy; Dominique Babuty; Tze-Fan Chao; Gregory Y H Lip
Journal:  J Clin Med       Date:  2020-04-24       Impact factor: 4.241

Review 10.  2018 Korean Guideline of Atrial Fibrillation Management.

Authors:  Boyoung Joung; Jung Myung Lee; Ki Hong Lee; Tae Hoon Kim; Eue Keun Choi; Woo Hyun Lim; Ki Woon Kang; Jaemin Shim; Hong Euy Lim; Junbeom Park; So Ryoung Lee; Young Soo Lee; Jin Bae Kim
Journal:  Korean Circ J       Date:  2018-12       Impact factor: 3.243

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