Literature DB >> 30969359

Utility of the HAS-BLED score for risk stratification of patients with acute coronary syndrome.

Diego Castini1, Simone Persampieri2, Ludovico Sabatelli2, Massimo Erba2, Giulia Ferrante2, Federica Valli2, Marco Centola2, Stefano Carugo2.   

Abstract

HAS-BLED score was developed for bleeding prediction in patients with atrial fibrillation (AF). Recently, it was also used in patients undergoing percutaneous coronary interventions (PCI). This study analyzes the HAS-BLED predictivity for bleedings and mortality in patients with acute coronary syndromes (ACS) without AF, and evaluates the utilization of alternative criteria for renal dysfunction. The study population was composed of 704 patients with ACS. Six-hundred and eleven patients completed the follow-up. The HAS-BLED score was calculated both using the original definition of renal dysfunction, both using three alternative eGFR thresholds (< 30, < 60 and ≤ 90 ml/min/1.73 mq). In-hospital and post-discharge bleedings and mortality were recorded, and calibration and discrimination of the various risk models were evaluated using the Hosmer-Lemeshow test and the C-statistic. In-hospital bleedings were 4.7% and mortality was 2.7%. Post-discharge bleedings were 3.1% and mortality was 4.4%. Regarding bleeding events and in-hospital mortality, the HAS-BLED original risk model demonstrated a moderate-to-good discriminative performance (C-statistics from 0.65 to 0.76). No significant differences were found in predictive accuracy when applying alternative definitions of renal dysfunction based on eGFR, with the exception of post-discharge mortality, for which HAS-BLED model assuming an eGFR value < 60 ml/min/1.73 mq showed a discriminative performance significantly higher in comparison to the other risk models (C-statistic 0.71 versus 0.64-0.66). In conclusion, in our ACS population, the HAS-BLED risk score showed a fairly good predictive accuracy regarding in-hospital and follow-up bleeding events and in-hospital mortality. The use of renal dysfunction alternative criteria based on eGFR values resulted in out-of hospital mortality predictive accuracy enhancement.

Entities:  

Keywords:  Acute coronary syndrome; Atrial fibrillation; Bleeding; HAS-BLED; Risk scores; eGFR

Mesh:

Year:  2019        PMID: 30969359     DOI: 10.1007/s00380-019-01405-1

Source DB:  PubMed          Journal:  Heart Vessels        ISSN: 0910-8327            Impact factor:   2.037


  42 in total

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2.  Adverse impact of bleeding on prognosis in patients with acute coronary syndromes.

Authors:  John W Eikelboom; Shamir R Mehta; Sonia S Anand; Changchun Xie; Keith A A Fox; Salim Yusuf
Journal:  Circulation       Date:  2006-08-14       Impact factor: 29.690

3.  The impact of renal insufficiency on clinical outcomes in patients undergoing percutaneous coronary interventions.

Authors:  Patricia J M Best; Ryan Lennon; Henry H Ting; Malcolm R Bell; Charanjit S Rihal; David R Holmes; Peter B Berger
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Review 4.  Epidemiology of atherothrombotic disease and the effectiveness and risks of antiplatelet therapy: race and ethnicity considerations.

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Journal:  Cardiol Rev       Date:  2008 Mar-Apr       Impact factor: 2.644

5.  Periprocedural bleeding and 1-year outcome after percutaneous coronary interventions: appropriateness of including bleeding as a component of a quadruple end point.

Authors:  Gjin Ndrepepa; Peter B Berger; Julinda Mehilli; Melchior Seyfarth; Franz-Josef Neumann; Albert Schömig; Adnan Kastrati
Journal:  J Am Coll Cardiol       Date:  2008-02-19       Impact factor: 24.094

6.  Impact of major bleeding on 30-day mortality and clinical outcomes in patients with acute coronary syndromes: an analysis from the ACUITY Trial.

Authors:  Steven V Manoukian; Frederick Feit; Roxana Mehran; Michele D Voeltz; Ramin Ebrahimi; Martial Hamon; George D Dangas; A Michael Lincoff; Harvey D White; Jeffrey W Moses; Spencer B King; E Magnus Ohman; Gregg W Stone
Journal:  J Am Coll Cardiol       Date:  2007-03-09       Impact factor: 24.094

7.  Creatinine clearance and adverse hospital outcomes in patients with acute coronary syndromes: findings from the global registry of acute coronary events (GRACE).

Authors:  J J Santopinto; K A A Fox; R J Goldberg; A Budaj; G Piñero; A Avezum; D Gulba; J Esteban; J M Gore; J Johnson; E P Gurfinkel
Journal:  Heart       Date:  2003-09       Impact factor: 5.994

8.  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.

Authors:  Sumeet Subherwal; Richard G Bach; Anita Y Chen; Brian F Gage; Sunil V Rao; L Kristin Newby; Tracy Y Wang; W Brian Gibler; E Magnus Ohman; Matthew T Roe; Charles V Pollack; Eric D Peterson; Karen P Alexander
Journal:  Circulation       Date:  2009-03-30       Impact factor: 29.690

9.  Ethnic variation in adverse cardiovascular outcomes and bleeding complications in the Clopidogrel for High Atherothrombotic Risk and Ischemic Stabilization, Management, and Avoidance (CHARISMA) study.

Authors:  Koon-Hou Mak; Deepak L Bhatt; Mingyuan Shao; Graeme J Hankey; J Donald Easton; Keith A A Fox; Eric J Topol
Journal:  Am Heart J       Date:  2008-11-06       Impact factor: 4.749

10.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

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  3 in total

1.  Complex chronic patients as an emergent group with high risk of intracerebral haemorrhage: an observational cohort study.

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Journal:  BMC Geriatr       Date:  2021-02-05       Impact factor: 3.921

2.  Untangling the difficult interplay between ischemic and hemorrhagic risk: The role of risk scores.

Authors:  Simone Persampieri; Diego Castini; Alessandro Lupi; Marco Guazzi
Journal:  World J Cardiol       Date:  2022-02-26

3.  Predictive Value of HAS-BLED Score Regarding Bleeding Events and Graft Survival following Renal Transplantation.

Authors:  Hans Michael Hau; Markus Eckert; Sven Laudi; Maria Theresa Völker; Sebastian Stehr; Sebastian Rademacher; Daniel Seehofer; Robert Sucher; Tobias Piegeler; Nora Jahn
Journal:  J Clin Med       Date:  2022-07-12       Impact factor: 4.964

  3 in total

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