Association Between Major Bleeding and In-Hospital Major Adverse Cardiovascular Events After Percutaneous Coronary
Özkan Bekler1, Alparslan Kurtul2, Emirhan Hancıoğlu3
1Department of Cardiology, Istanbul Medipol University, Acıbadem District Hospital, Kadiköy, Turkey.
Insights
In-hospital major bleeding (MB) significantly increases the risk of early major adverse cardiovascular events (MACE) in acute coronary syndrome (ACS) patients after percutaneous coronary intervention (PCI). MB is a strong predictor of these events, highlighting the need for bleeding prevention.
Area of Science:
- Cardiovascular Medicine
- Interventional Cardiology
- Clinical Research
Background:
- Major bleeding (MB) is a known complication in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI).
- While long-term outcomes of MB are documented, its impact on early cardiovascular prognosis is less understood.
Purpose of the Study:
- To investigate the association between in-hospital MB and major adverse cardiovascular events (MACE) in ACS patients treated with PCI.
- To identify MB as a predictor of early MACE in this patient population.
Main Methods:
- Retrospective cohort study of 829 consecutive ACS patients undergoing successful PCI (January 2021 - December 2023).
- MB defined as Bleeding Academic Research Consortium (BARC) type 3 or 5.
- MACE defined as composite of mortality, recurrent MI, stroke, urgent revascularization, or heart failure.
Main Results:
- MB occurred in 4.5% of patients, with significantly higher in-hospital MACE rates (40.5% vs. 8.1%, p < 0.001).
- In-hospital MB was the strongest independent predictor of MACE (OR: 12.43, p < 0.001).
- Reduced LVEF, age, and WBC count were also predictors of MACE.
Conclusions:
- In-hospital MB is a potent and independent predictor of early MACE in ACS patients undergoing PCI.
- Findings underscore the importance of risk stratification, bleeding prevention, and tailored antithrombotic therapy.
Abstract:
Major bleeding (MB) is a serious complication in patients with acute coronary syndromes (ACS) undergoing percutaneous coronary intervention (PCI). Although its association with long-term adverse outcomes is well documented, the impact of in-hospital MB on early cardiovascular prognosis remains incompletely characterized.To investigate the association between in-hospital MB and major adverse cardiovascular events (MACE) in patients with ACS treated with PCI.We conducted a retrospective cohort study on 829 consecutive ACS patients who underwent successful PCI between January 2021 and December 2023. MB was defined as Bleeding Academic Research Consortium (BARC) type 3 or 5 bleeding events. MACE was defined as a composite of all-cause mortality, recurrent myocardial infarction, ischemic stroke, urgent target vessel revascularization, or new-onset/decompensated heart failure with left ventricular ejection fraction (LVEF) <30%. Clinical data and outcomes were extracted from hospital records and independently adjudicated.MB occurred in 4.5% of patients (n = 37). The incidence of in-hospital MACE was significantly higher among patients with MB compared to those without (40.5% vs. 8.1%, p < 0.001). In multivariate logistic regression, MB was the strongest independent predictor of in-hospital MACE (OR: 12.43, 95% CI: 3.43-44.98, p < 0.001), followed by reduced LVEF (OR per % increase: 0.794, 95% CI: 0.747-0.843, p < 0.001), age, and white blood cell count.In-hospital MB is a potent and independent predictor of early MACE in patients with ACS undergoing PCI. These findings emphasize the need for careful risk stratification, bleeding prevention strategies, and individualized antithrombotic management in this high-risk population.
More Related Videos
Related Concept Videos
Acute Coronary Syndrome IV: Interprofessional Care
Acute Coronary Syndrome I: Introduction
Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations
Acute Coronary Syndrome III: Diagnostic Studies
Acute Coronary Syndrome V: Nursing Management
Cardiac Catheterization I: Pre-Procedure Overview


