ArticleThe American journal of cardiology2023
PRECISE-DAPT and ARC-HBR Predict in-Hospital Outcomes in Patients Who Underwent Percutaneous Coronary Intervention.
Article in The American journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Hemostasis-Sparing Antiplatelet Therapy: Current Concepts and Emerging Targets in Arterial Thrombosis.Biomolecules & therapeutics · 2026Review
- The Combined Predictive Value of the GRACE Score and the ARC-HBR Criteria for Bleeding Risk After Percutaneous Coronary Intervention in STEMI Patients.International journal of general medicine · 2026Article
- Development and validation of a novel bleeding risk prediction tool for aspirin users with a low body mass index.Scientific reports · 2025Article
- LASSO-derived model for the prediction of bleeding in aspirin users.Scientific reports · 2024Article
- Chronic Limb-Threatening Ischemia is a Residual Bleeding Risk Factor among Patients with Lower Extremity Artery Disease.Journal of atherosclerosis and thrombosis · 2024Observational
- Predictive Model of Internal Bleeding in Elderly Aspirin Users Using XGBoost Machine Learning.Risk management and healthcare policy · 2024Article
- Machine learning derived model for the prediction of bleeding in dual antiplatelet therapy patients.Frontiers in cardiovascular medicine · 2024Article
- Impact of the completeness of revascularization and high bleeding risk status in acute coronary syndrome patients with multi-vessel disease: A retrospective analysis.JRSM cardiovascular diseaseArticle
- A Practical Nomogram for Predicting the Bleeding Risk in Patients with a History of Myocardial Infarction Treating with Aspirin.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Bleeding events result in morbidity and mortality in patients who underwent percutaneous coronary intervention (PCI). There are limited data on the predicting bleeding complications in patients who underwent stent implantation and subsequent dual antiplatelet therapy (PRECISE-DAPT) and Academic Research Consortium for High Bleeding Risk (ARC-HBR) scores' ability to predict in-hospital outcomes in patients who underwent PCI. Consecutive patients who underwent PCI at tertiary centers from January 2016 to March 2018 were identified and the bleeding risk scores were calculated. The primary end point was the National Cardiovascular Data Registry-defined in-hospital bleeding stratified by low versus high predicted bleeding risk. The major and net adverse cardiovascular events were also examined. The discriminatory ability of the risk models was determined using receiver operating characteristic curves. Among 3,659 patients studied, the in-hospital major bleeding was 3.3% (n = 121). The patients characterized as high bleeding risk by either criterion had significantly higher bleeding rates than those meeting the low-risk criteria (ARC-HBR 5.4% vs 3.3%, p <0.001; PRECISE-DAPT 5.8% vs 2.4%, p <0.001), and higher major adverse cardiovascular events and net adverse clinical events. These risk estimates showed moderate and similar predictive ability (ARC-HBR high-risk area under the receiver operating characteristic curve [AUC] 0.62, PRECISE-DAPT ≥25 AUC 0.61, p = 0.49), with no incremental benefit to adding the estimates (AUC 0.60). The subgroup analysis revealed that women had higher bleeding rates than men (5.53% vs 2.39%, p <0.001); however, the predictive ability of the criteria were similar in women and men. The patients identified as having a high bleeding risk by the PRECISE-DAPT and the ARC-HBR criteria before PCI are at high risk for in-hospital bleeding and adverse outcomes independent of gender. The 2 scores have moderate predictive ability for bleeds. Further study is needed to determine strategies to reduce risk in this population.
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