Bleeding Risk in Elderly Patients Undergoing Percutaneous Coronary Intervention: A Comprehensive Review

Overview

Journal J Clin Med

Specialty General Medicine

Date 2025 Feb 26

PMID 40004725

Authors

Alexander Marschall

Fernando Rivero

David Del Val

Teresa Bastante

Edurne Lopez Soberon

Ines Gomez Sanchez

Elena Basabe Velasco

Fernando Alfonso

Jose Maria de la Torre Hernandez

David Marti Sanchez

Affiliations

Soon will be listed here.

Abstract

The care of elderly patients with coronary artery disease (CAD) undergoing percutaneous coronary interventions (PCIs) presents unique challenges due to age-related physiological and functional changes. With the global population aging rapidly, this demographic change affects a growing proportion of individuals requiring PCI. However, advanced age is associated with increased susceptibility to ischemic and bleeding complications, driven by physiological changes such as altered coagulation, vascular stiffness, and declining organ function. These factors complicate the management of CAD, making the balance between reducing thrombotic events and minimizing bleeding risks particularly challenging. Antiplatelet therapy is central to post-PCI management, but its benefits and risks differ significantly in elderly patients compared to younger populations. Tools like the PRECISE-DAPT and ARC-HBR provide guidance on dual antiplatelet therapy duration and bleeding risk stratification. However, their applicability and predictive accuracy in elderly patients remain areas of active investigation. This underscores the need for improved risk assessment methods tailored to the unique needs of aging individuals. In this review, we explore the epidemiological, pathophysiological, and clinical aspects of CAD in elderly patients, emphasizing the impact of aging on disease presentation and outcomes. Furthermore, we assess current risk stratification tools and discuss their limitations in predicting adverse events in older populations. By synthesizing these insights, we aim to highlight the complexities of managing elderly CAD patients and identify opportunities for optimizing personalized care to achieve better outcomes in this vulnerable group.

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