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Updated: Oct 16, 2025

Microfluidics in Assessing Platelet Function
Published on: November 8, 2024
"Tailored" antiplatelet bridging therapy with cangrelor: moving toward personalized medicine
Renato Valenti1, Iacopo Muraca1, Rossella Marcucci2
1From the Interventional Cardiology Unit, Cardiovascular Department, Careggi University Hospital, Florence, Italy.
Insights
Managing patients on dual antiplatelet therapy needing surgery requires careful balancing of ischemic and bleeding risks. A personalized approach using platelet reactivity monitoring may improve outcomes compared to standardized cangrelor bridging protocols.
Area of Science:
- Cardiology
- Pharmacology
- Perioperative Medicine
Background:
- Patients on dual antiplatelet therapy (DAPT) undergoing surgery face high risks of perioperative cardiac ischemic events, including stent thrombosis, due to surgery's prothrombotic nature and DAPT withdrawal to prevent bleeding.
- Cangrelor, an intravenous P2Y12 receptor antagonist, has been used as a bridging therapy to surgery after oral P2Y12 inhibitor discontinuation, with its off-label use extended to non-cardiac surgeries.
- Despite standardized cangrelor bridging protocols, a residual risk of adverse outcomes, primarily bleeding events, persists during the perioperative phase.
Purpose of the Study:
- To propose a tailored clinical decision-making algorithm for managing patients on DAPT undergoing surgery, inspired by personalized medicine principles.
- To address complex clinical scenarios where standardized bridging protocols may not be optimal.
- To optimize patient outcomes and healthcare costs by moving beyond average pharmacodynamic data of oral P2Y12 inhibitors.
Main Methods:
- Review of existing literature and consensus statements on perioperative bridging therapy with cangrelor.
- Development of a personalized management strategy based on serial platelet reactivity measurements.
- Incorporation of careful assessment of individual ischemic and bleeding risks into clinical decision-making.
Main Results:
- Standardized cangrelor bridging protocols, while beneficial, leave a residual risk of perioperative adverse events, particularly bleeding.
- Personalized management, guided by platelet reactivity and risk assessment, holds potential to optimize outcomes and reduce costs.
- This approach aims to provide a more individualized strategy compared to protocols based on average pharmacodynamic data.
Conclusions:
- A personalized, risk-stratified approach to perioperative management of patients on DAPT is warranted.
- Serial platelet reactivity measurements and tailored risk assessment can potentially improve upon standardized cangrelor bridging protocols.
- The proposed algorithm aims to enhance clinical decision-making in complex perioperative scenarios, optimizing patient safety and treatment efficacy.
Abstract:
In the setting of patients with indication to receive dual antiplatelet therapy undergoing surgery or invasive procedures, the risk of perioperative cardiac ischemic events, particularly stent thrombosis, is high, because surgery has a prothrombotic effect and antiplatelet therapy is withdrawn in order to avoid bleeding complications. Cangrelor, an intravenous P2Y12 receptor antagonist, has been tested in a randomized trial as a "bridge" to cardiac surgery from discontinuation of oral P2Y12 receptor antagonists. Thus, a consensus document extended its off-label use in this setting and before non-cardiac surgery. Currently, despite the implementation of a standardized bridging protocol with cangrelor, a residual risk of adverse outcome mainly due to bleeding events, still persist during the perioperative phase.Accordingly, a personalized management driven by platelet reactivity serial measurements and careful assessment of ischemic and bleeding risks has potential to optimize outcomes and costs as compared to a standardized bridging protocol, based on average pharmacodynamic data of oral P2Y12 inhibitors.While specific indications for bridging have been extensively addressed in the aforementioned consensus statement, the aim of the present document is the proposal of a "tailored" clinical decision-making algorithm inspired to the principle of personalized medicine dealing with complex clinical scenarios.
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