Abstract

Coronary artery disease (CAD) is one of the leading causes of death globally, and antiplatelet therapy is crucial for both its prevention and treatment. Antiplatelet drugs such as aspirin and P2Y12 inhibitors are commonly used to reduce the risk of thrombotic events, including myocardial infarction, stroke, and stent thrombosis. However, the benefits associated with the use of antiplatelet drugs also come with a risk of bleeding complications. The ever-growing understanding of the poor prognostic implications associated with bleeding has set the foundations for defining strategies that can mitigate such safety concern without any trade-off in antithrombotic protection. To this extent, personalised antiplatelet therapy has emerged as a paradigm that optimizes the balance between safety and efficacy by customizing treatment to the individual patient's needs and risk profile. Accurate risk stratification for both bleeding and thrombosis can aid in selecting the optimal antiplatelet therapy and prevent serious and life-threatening outcomes. Risk stratification has traditionally included clinical and demographic characteristics and has expanded to incorporate angiographic features and laboratory findings. The availability of bedside platelet function testing as well as rapid genotyping assays has also allowed for a more individualized selection of antiplatelet therapy. This review provides a comprehensive overview of the current state of the art and future trends in personalised antiplatelet therapy for patients with CAD, with emphasis on those presenting with an acute coronary syndrome and undergoing percutaneous coronary revascularization. The aim is to provide clinicians with a comprehensive understanding of personalised antiplatelet therapy and facilitate informed clinical decision-making.

Proposed strategies for tailoring antithrombotic therapy according to individual ischaemic and bleeding risk. Patients at high risk of ischemic events and low risk of bleeding may benefit from an intensified antiplatelet therapy regimen (e.g., escalation), while those at high risk of bleeding and low risk of ischemic events require a less intensive and more cautious approach (e.g, de-escalation). In patients at low risk of ischemic events and low risk of bleeding the benefits of antiplatelet therapy may not outweigh the risks, while patients who have high risks of both ischemic and bleeding events require a delicate balance, as the approach to managing their conditions must weigh the potential benefits against the potential risks. Abbreviations: PFT, platelet function testing. Adapted from Cao et al.1
Graphical Abstract

Proposed strategies for tailoring antithrombotic therapy according to individual ischaemic and bleeding risk. Patients at high risk of ischemic events and low risk of bleeding may benefit from an intensified antiplatelet therapy regimen (e.g., escalation), while those at high risk of bleeding and low risk of ischemic events require a less intensive and more cautious approach (e.g, de-escalation). In patients at low risk of ischemic events and low risk of bleeding the benefits of antiplatelet therapy may not outweigh the risks, while patients who have high risks of both ischemic and bleeding events require a delicate balance, as the approach to managing their conditions must weigh the potential benefits against the potential risks. Abbreviations: PFT, platelet function testing. Adapted from Cao et al.1

Introduction

Coronary artery disease (CAD) is a leading global cause of death and antiplatelet therapy plays a critical role in its prevention and treatment.2 Aspirin and P2Y12 receptor inhibitors are commonly used antiplatelet drugs that lower the risk of thrombotic events across the spectrum of CAD manifestations.3,4 However, the benefits associated with the use of antiplatelet drugs also come with a risk of bleeding complications.5 The ever-growing understanding of the poor prognostic implications associated with bleeding, including increased mortality, has set the foundations for defining strategies that can mitigate such safety concern without any trade-off in antithrombotic protection.6,7 To this extent, personalised antiplatelet treatment regimens represent a developing concept that seeks to achieve a net benefit between safety and efficacy by tailoring treatment to each patient's unique needs and risk profile.8,9 The identification of patients’ risk for both bleeding and thrombosis can aid in the selection of the optimal antiplatelet therapy and reduce the incidence of serious adverse events.

Multiple clinical, demographic, angiographic, and laboratory factors have been identified as predictors of bleeding and thrombosis.10–15 By considering these factors, clinicians are better equipped to risk stratify patients and in turn select the antiplatelet treatment regimen with the best risk-benefit profile for a given individual. Platelet function testing (PFT) and rapid genotyping are emerging as advancements that enable the assessment of a patient's individual response to antiplatelet therapy, allowing for an even more individualized selection of antiplatelet therapy.16 This review provides an overview of current state of the art and future trends in the role of risk assessment and personalised approach in antiplatelet therapies for patients with CAD, with emphasis on those presenting with an acute coronary syndrome (ACS) and undergoing percutaneous coronary revascularization. The review also highlights the growing field of personalised antiplatelet therapy, including PFT and genotyping, and discusses their future directions and potential implications.

Antiplatelet therapies in cardiovascular disease

Mechanisms of action of oral and intravenous antiplatelet drugs currently approved for clinical use are visualized in Figure 1.17

Platelet activation mechanisms. Platelet activation is initiated by soluble agonists, such as thrombin, thromboxane A2 (TXA2), 5-hydroxytryptamine (5-HT) and ADP (via the P2Y1 receptor), and by adhesive ligands, such as collagen and von Willebrand factor (vWF). Consequently, dense granule secretion of platelet agonists and secretion of TXA2, as a result of phospholipase A2 activation, lead to the amplification of platelet activation and the associated responses. The P2Y12 receptor has a major role in the amplification of platelet activation, which is also supported by outside–in signalling via integrin αIIbβ3 (the glycoprotein IIb/IIIa receptor). Aspirin inhibits platelet function by acetylation of the platelet cyclooxygenase, which prevents the access of arachidonic acid to the catalytic site of the enzyme and results in irreversible inhibition of platelet dependent TXA2 formation. Therefore, the combined use of aspirin and a P2Y12 receptor inhibitor (such as clopidogrel, prasugrel, or ticagrelor) has additive effects on the inhibition of platelet activation and the associated platelet responses. Conversely, discontinuation of aspirin results in some degree of increased platelet reactivity driven by pathways mediated by arachidonic acid and collagen, whereas other pathways remain inhibited by P2Y12 inhibitor monotherapy. 5-HT2A, 5-hydroxytryptamine receptor 2A; GPVI, platelet glycoprotein VI; NO, nitric oxide; PAR, proteinase-activated receptor; PGI2, prostaglandin I2; TPα, thromboxane A2 receptor isoform α. Reproduced with permission from Capodanno et al.17
Figure 1

Platelet activation mechanisms. Platelet activation is initiated by soluble agonists, such as thrombin, thromboxane A2 (TXA2), 5-hydroxytryptamine (5-HT) and ADP (via the P2Y1 receptor), and by adhesive ligands, such as collagen and von Willebrand factor (vWF). Consequently, dense granule secretion of platelet agonists and secretion of TXA2, as a result of phospholipase A2 activation, lead to the amplification of platelet activation and the associated responses. The P2Y12 receptor has a major role in the amplification of platelet activation, which is also supported by outside–in signalling via integrin αIIbβ3 (the glycoprotein IIb/IIIa receptor). Aspirin inhibits platelet function by acetylation of the platelet cyclooxygenase, which prevents the access of arachidonic acid to the catalytic site of the enzyme and results in irreversible inhibition of platelet dependent TXA2 formation. Therefore, the combined use of aspirin and a P2Y12 receptor inhibitor (such as clopidogrel, prasugrel, or ticagrelor) has additive effects on the inhibition of platelet activation and the associated platelet responses. Conversely, discontinuation of aspirin results in some degree of increased platelet reactivity driven by pathways mediated by arachidonic acid and collagen, whereas other pathways remain inhibited by P2Y12 inhibitor monotherapy. 5-HT2A, 5-hydroxytryptamine receptor 2A; GPVI, platelet glycoprotein VI; NO, nitric oxide; PAR, proteinase-activated receptor; PGI2, prostaglandin I2; TPα, thromboxane A2 receptor isoform α. Reproduced with permission from Capodanno et al.17

In accordance with type I classes of recommendations from practice guidelines,3,4 aspirin is generally indicated for the secondary prevention of CAD, including patients with previous myocardial infarction (MI) or revascularization, and the P2Y12 inhibitor clopidogrel is an alternative to aspirin for patients with allergy or intolerance. Additionally, clopidogrel is prescribed after percutaneous coronary intervention (PCI) in patients who present with a chronic coronary syndrome (CCS). Prasugrel is recommended in patients with an ACS undergoing PCI and ticagrelor in patients with ACS with or without revascularization. A description on the use of oral anticoagulants in patients with CAD and antiplatelet therapy in patients on oral anticoagulants goes beyond the scope of this manuscript and is described elsewhere.18–20

Risk assessment

The 2021 guidelines from the European Society of Cardiology (ESC) for cardiovascular disease prevention in clinical practice emphasize the importance of timely recognition of risk factors, predictors, and modifiers that impact the likelihood of CAD complications.3 This paradigm can be easily extended to the risks confronted by patients on antiplatelet therapy. In fact, the key to thrombosis and bleeding prevention is to identify those patients who will receive the greatest benefit from antiplatelet drugs at the least possible safety price.

In general, the higher the absolute risk of CAD, the higher the expected absolute benefit of antiplatelet therapy in reducing thrombotic complications (e.g. MI, stroke, stent thrombosis). However, antiplatelet therapy carries an unavoidable risk of bleeding, which can be mitigated by weighing the benefits and risks for the individual patient and adjusting the treatment plan accordingly. Therefore, determining the fine balance between thrombotic and bleeding risks is crucial for the effective management of antiplatelet therapy.

Predictors of thrombotic and bleeding events

Risk stratification tools for the prediction of ischemia, bleeding, or their trade-off in CAD patients on dual antiplatelet therapy (DAPT, i.e. the combination of aspirin and a P2Y12 inhibitor) are summarized in Table 1. 10–15 These models were generally derived from large cohorts of patients undergoing PCI and therefore their generalizability to other DAPT settings (i.e. CAD without PCI) is uncertain.

Table 1

Risk stratification tools for ischemia, bleeding, or their trade-off in patients on dual antiplatelet therapy

Score/ModelNo of variablesDevelopment cohort (patients, design)SettingPredicted outcomeValidation cohort(s) (patients, c-index)
Ischemia
PARIS thrombosis10Six clinical4190 patients, multicentre registryPCI patients on DAPTIschemia at 24 months after PCI8665 patients, 0.65
Bleeding
PARIS bleeding10Six clinical4190 patients, multicentre registryPCI patients on DAPTBleeding at 24 months after PCI8665 patients, 0.64
PRECISE-DAPT11Five clinical14 963 patients, pooled analysis of randomised clinical trialsPCI patients on DAPTBleeding at 12 months after PCI8595 patients, 0.70; 6172 patients, 0.66
BleeMACS12Seven clinical15 401 patients, multicentre registryPCI patients on DAPTBleeding at 12 months after PCI96 239 patients, 0.65
ARC-HBR13Thirteen clinical-PCI patients on DAPTBleeding at 12 months after PCI-
Trade-off
DAPT score14Five clinical, three procedural11 648 patients, multicentre randomised clinical trialPCI patients on DAPT who were event-free for 12 monthsIschemia and bleeding between 12 and 30 months after PCI8136 patients, 0.64 for both ischaemia and bleeding
ARC-HBR trade-off15Ten clinical, two procedural6641 patients, pooled analysis of randomised clinical trials and a multicentre registryPCI patients on DAPTIschemia and bleeding at 12 months after PCI1458 patients, 0.74 for both ischaemia and bleeding
Score/ModelNo of variablesDevelopment cohort (patients, design)SettingPredicted outcomeValidation cohort(s) (patients, c-index)
Ischemia
PARIS thrombosis10Six clinical4190 patients, multicentre registryPCI patients on DAPTIschemia at 24 months after PCI8665 patients, 0.65
Bleeding
PARIS bleeding10Six clinical4190 patients, multicentre registryPCI patients on DAPTBleeding at 24 months after PCI8665 patients, 0.64
PRECISE-DAPT11Five clinical14 963 patients, pooled analysis of randomised clinical trialsPCI patients on DAPTBleeding at 12 months after PCI8595 patients, 0.70; 6172 patients, 0.66
BleeMACS12Seven clinical15 401 patients, multicentre registryPCI patients on DAPTBleeding at 12 months after PCI96 239 patients, 0.65
ARC-HBR13Thirteen clinical-PCI patients on DAPTBleeding at 12 months after PCI-
Trade-off
DAPT score14Five clinical, three procedural11 648 patients, multicentre randomised clinical trialPCI patients on DAPT who were event-free for 12 monthsIschemia and bleeding between 12 and 30 months after PCI8136 patients, 0.64 for both ischaemia and bleeding
ARC-HBR trade-off15Ten clinical, two procedural6641 patients, pooled analysis of randomised clinical trials and a multicentre registryPCI patients on DAPTIschemia and bleeding at 12 months after PCI1458 patients, 0.74 for both ischaemia and bleeding

ARC-HBR, Academic Research Consortium for High Bleeding Risk; BleeMACS, Bleeding Complications in a Multicenter Registry of Patients Discharged With Diagnosis of Acute Coronary Syndrome; DAPT, Dual Antiplatelet Therapy Trial; PARIS, patterns of non-adherence to anti-platelet regimens in stented patients; PCI, percutaneous coronary intervention; PRECISE-DAPT, Predicting Bleeding Complications In Patients Undergoing Stent Implantation and Subsequent Dual Anti Platelet Therapy.

Table 1

Risk stratification tools for ischemia, bleeding, or their trade-off in patients on dual antiplatelet therapy

Score/ModelNo of variablesDevelopment cohort (patients, design)SettingPredicted outcomeValidation cohort(s) (patients, c-index)
Ischemia
PARIS thrombosis10Six clinical4190 patients, multicentre registryPCI patients on DAPTIschemia at 24 months after PCI8665 patients, 0.65
Bleeding
PARIS bleeding10Six clinical4190 patients, multicentre registryPCI patients on DAPTBleeding at 24 months after PCI8665 patients, 0.64
PRECISE-DAPT11Five clinical14 963 patients, pooled analysis of randomised clinical trialsPCI patients on DAPTBleeding at 12 months after PCI8595 patients, 0.70; 6172 patients, 0.66
BleeMACS12Seven clinical15 401 patients, multicentre registryPCI patients on DAPTBleeding at 12 months after PCI96 239 patients, 0.65
ARC-HBR13Thirteen clinical-PCI patients on DAPTBleeding at 12 months after PCI-
Trade-off
DAPT score14Five clinical, three procedural11 648 patients, multicentre randomised clinical trialPCI patients on DAPT who were event-free for 12 monthsIschemia and bleeding between 12 and 30 months after PCI8136 patients, 0.64 for both ischaemia and bleeding
ARC-HBR trade-off15Ten clinical, two procedural6641 patients, pooled analysis of randomised clinical trials and a multicentre registryPCI patients on DAPTIschemia and bleeding at 12 months after PCI1458 patients, 0.74 for both ischaemia and bleeding
Score/ModelNo of variablesDevelopment cohort (patients, design)SettingPredicted outcomeValidation cohort(s) (patients, c-index)
Ischemia
PARIS thrombosis10Six clinical4190 patients, multicentre registryPCI patients on DAPTIschemia at 24 months after PCI8665 patients, 0.65
Bleeding
PARIS bleeding10Six clinical4190 patients, multicentre registryPCI patients on DAPTBleeding at 24 months after PCI8665 patients, 0.64
PRECISE-DAPT11Five clinical14 963 patients, pooled analysis of randomised clinical trialsPCI patients on DAPTBleeding at 12 months after PCI8595 patients, 0.70; 6172 patients, 0.66
BleeMACS12Seven clinical15 401 patients, multicentre registryPCI patients on DAPTBleeding at 12 months after PCI96 239 patients, 0.65
ARC-HBR13Thirteen clinical-PCI patients on DAPTBleeding at 12 months after PCI-
Trade-off
DAPT score14Five clinical, three procedural11 648 patients, multicentre randomised clinical trialPCI patients on DAPT who were event-free for 12 monthsIschemia and bleeding between 12 and 30 months after PCI8136 patients, 0.64 for both ischaemia and bleeding
ARC-HBR trade-off15Ten clinical, two procedural6641 patients, pooled analysis of randomised clinical trials and a multicentre registryPCI patients on DAPTIschemia and bleeding at 12 months after PCI1458 patients, 0.74 for both ischaemia and bleeding

ARC-HBR, Academic Research Consortium for High Bleeding Risk; BleeMACS, Bleeding Complications in a Multicenter Registry of Patients Discharged With Diagnosis of Acute Coronary Syndrome; DAPT, Dual Antiplatelet Therapy Trial; PARIS, patterns of non-adherence to anti-platelet regimens in stented patients; PCI, percutaneous coronary intervention; PRECISE-DAPT, Predicting Bleeding Complications In Patients Undergoing Stent Implantation and Subsequent Dual Anti Platelet Therapy.

The PARIS risk score encompasses six clinical variables for the prediction of thrombosis and six variables for the prediction of bleeding.10 Other scores for bleeding include PRECISE-DAPT,11 which uses five clinical predictors, and BleeMACS, which uses seven clinical predictors.12 While these models follow a quantitative approach, a semiquantitative approach from the Academic Research Consortium for High Bleeding Risk (ARC-HBR) has recently been introduced,13 with patients at high bleeding risk defined as those fulfilling one major criterion or two minor criteria from a set of variables defined by expert consensus. Two models (DAPT score and ARC-HBR trade-off model) are also available that integrate ischemic and bleeding risk factors to provide a prediction rule for outcomes of ‘net benefit’.14,15

Overall, the discriminatory performance of the available risk models for ischemia and/or bleeding is in the range of c-statistics between 0.65 and 0.75 in validation studies10–15,21, indicating their suboptimal capacity to distinguish the patients who will experience an event from and those who will not. Importantly, high bleeding risk patients have often been excluded from study populations used to derive bleeding risk scores, and these scores have been evaluated in the context of standard DAPT, which makes their generalisability uncertain when other scenarios are considered (e.g. de-escalation). Notably, the ESC guidelines assign a low class of recommendation to the use of risk scores to guide antiplatelet therapy (e.g. class IIb in the European guidelines for ACS).22 Therefore, clinical considerations and sound clinical judgment are crucial on top of utilizing these predictive models in guiding patient management and treatment decisions.21 Yet, identifying patients who are most likely to benefit from antiplatelet therapy (e.g. those at very high risk of CAD events) and have a low risk of bleeding is challenging, especially because patients at increased ischemic and bleeding risks typically share common CAD risk factors.15,23

Additionally, patients with established atherosclerotic cardiovascular disease are generally considered at very high risk of events by current ESC guidelines for secondary prevention.3 This broad group include those with documented CAD, including previous MI, ACS, and coronary revascularization. Patients with unequivocally documented cardiovascular disease on imaging are also considered at very high risk, including those with atherosclerotic plaques on coronary angiography or computed tomography angiography.

A scrutiny of most common predictors derived by the available risk stratification tools (Table 2) allows to isolate some crucial risk determinants of ischemic complications in spite of antiplatelet therapy (e.g. diabetes mellitus, ACS or MI at presentation, prior PCI, MI or cerebrovascular accident, smoking, renal insufficiency, peripheral artery disease) and a number of key predictors of bleeding (e.g. age, renal insufficiency, cirrhosis, anaemia or low haemoglobin levels, oral anticoagulation, prior bleeding and/or transfusion, cancer) that are visually schematized in Figure 2.

Determinants of ischaemic and bleeding risk in patients on dual antiplatelet therapy. Abbreviations: ACS, acute coronary syndrome; CKD, chronic kidney disease; CVA, cerebrovascular accidents; MI, myocardial infarction; OAC, oral anticoagulation; PAD, peripheral artery disease; PCI, percutaneous coronary intervention.
Figure 2

Determinants of ischaemic and bleeding risk in patients on dual antiplatelet therapy. Abbreviations: ACS, acute coronary syndrome; CKD, chronic kidney disease; CVA, cerebrovascular accidents; MI, myocardial infarction; OAC, oral anticoagulation; PAD, peripheral artery disease; PCI, percutaneous coronary intervention.

Table 2

Predictors of ischemia and/or bleeding in patients on dual antiplatelet therapy

PARIS10PRECISE DAPT11BleeMACS12ARC-HBR13DAPT score14ARC-HBR Trade-off15
Predictors of ischemia
DiabetesNANANA
SmokingNANANA
ACS or MI at presentationNANANA
Prior PCI or MINANANA
Renal insufficiencyNANANA
Prior CABGNANANA
Small stentsNANANA
CHF or low LVEFNANANA
Paclitaxel-eluting stentNANANA
Vein graft stentNANANA
Vascular diseaseNANANA
HypertensionNANANA
Anaemia or haemoglobinNANANA
Complex PCINANANA
Bare metal stentNANANA
Predictors of bleeding
Age
Renal insufficiency
Anaemia or low haemoglobin
Oral anticoagulation
Prior bleeding and/or transfusion
Cancer
Smoking
Liver cirrhosis
Planned major noncardiac surgery
Hypertension
Vascular disease
Low or high body mass index
Leucocytosis
Thrombocytopenia
Chronic bleeding diathesis
Long-term use of NSAIDs or steroids
Previous ischemic stroke or ICH
Recent major surgery or trauma
COPD
Complex PCI
PARIS10PRECISE DAPT11BleeMACS12ARC-HBR13DAPT score14ARC-HBR Trade-off15
Predictors of ischemia
DiabetesNANANA
SmokingNANANA
ACS or MI at presentationNANANA
Prior PCI or MINANANA
Renal insufficiencyNANANA
Prior CABGNANANA
Small stentsNANANA
CHF or low LVEFNANANA
Paclitaxel-eluting stentNANANA
Vein graft stentNANANA
Vascular diseaseNANANA
HypertensionNANANA
Anaemia or haemoglobinNANANA
Complex PCINANANA
Bare metal stentNANANA
Predictors of bleeding
Age
Renal insufficiency
Anaemia or low haemoglobin
Oral anticoagulation
Prior bleeding and/or transfusion
Cancer
Smoking
Liver cirrhosis
Planned major noncardiac surgery
Hypertension
Vascular disease
Low or high body mass index
Leucocytosis
Thrombocytopenia
Chronic bleeding diathesis
Long-term use of NSAIDs or steroids
Previous ischemic stroke or ICH
Recent major surgery or trauma
COPD
Complex PCI

Abbreviations: ACS, acute coronary syndromes; CABG, coronary artery bypass surgery; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; ICH, intracranial haemorrhage; LVEF, low ventricular ejection fraction, MI, myocardial infarction; NA, not applicable; NSAIDs, nonsteroidal anti-inflammatory drugs; PCI, percutaneous coronary intervention. Other abbreviations as in Table 1.

Table 2

Predictors of ischemia and/or bleeding in patients on dual antiplatelet therapy

PARIS10PRECISE DAPT11BleeMACS12ARC-HBR13DAPT score14ARC-HBR Trade-off15
Predictors of ischemia
DiabetesNANANA
SmokingNANANA
ACS or MI at presentationNANANA
Prior PCI or MINANANA
Renal insufficiencyNANANA
Prior CABGNANANA
Small stentsNANANA
CHF or low LVEFNANANA
Paclitaxel-eluting stentNANANA
Vein graft stentNANANA
Vascular diseaseNANANA
HypertensionNANANA
Anaemia or haemoglobinNANANA
Complex PCINANANA
Bare metal stentNANANA
Predictors of bleeding
Age
Renal insufficiency
Anaemia or low haemoglobin
Oral anticoagulation
Prior bleeding and/or transfusion
Cancer
Smoking
Liver cirrhosis
Planned major noncardiac surgery
Hypertension
Vascular disease
Low or high body mass index
Leucocytosis
Thrombocytopenia
Chronic bleeding diathesis
Long-term use of NSAIDs or steroids
Previous ischemic stroke or ICH
Recent major surgery or trauma
COPD
Complex PCI
PARIS10PRECISE DAPT11BleeMACS12ARC-HBR13DAPT score14ARC-HBR Trade-off15
Predictors of ischemia
DiabetesNANANA
SmokingNANANA
ACS or MI at presentationNANANA
Prior PCI or MINANANA
Renal insufficiencyNANANA
Prior CABGNANANA
Small stentsNANANA
CHF or low LVEFNANANA
Paclitaxel-eluting stentNANANA
Vein graft stentNANANA
Vascular diseaseNANANA
HypertensionNANANA
Anaemia or haemoglobinNANANA
Complex PCINANANA
Bare metal stentNANANA
Predictors of bleeding
Age
Renal insufficiency
Anaemia or low haemoglobin
Oral anticoagulation
Prior bleeding and/or transfusion
Cancer
Smoking
Liver cirrhosis
Planned major noncardiac surgery
Hypertension
Vascular disease
Low or high body mass index
Leucocytosis
Thrombocytopenia
Chronic bleeding diathesis
Long-term use of NSAIDs or steroids
Previous ischemic stroke or ICH
Recent major surgery or trauma
COPD
Complex PCI

Abbreviations: ACS, acute coronary syndromes; CABG, coronary artery bypass surgery; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; ICH, intracranial haemorrhage; LVEF, low ventricular ejection fraction, MI, myocardial infarction; NA, not applicable; NSAIDs, nonsteroidal anti-inflammatory drugs; PCI, percutaneous coronary intervention. Other abbreviations as in Table 1.

Personalised approach

Tailoring the right antiplatelet therapy to individual ischemic and bleeding characteristics is crucial in optimizing the benefits and minimizing the risks of treatment for patients with CAD (Graphical abstract).1 Patients at high risk of ischemic events and low risk of bleeding may benefit from a more intensive antiplatelet therapy regimen, while those at high risk of bleeding and low risk of ischemic events require a less intensive and more cautious approach. In patients at low risk of ischemic events and low risk of bleeding, the benefits of antiplatelet therapy may not outweigh the risks, while patients who have high risks of both ischemic and bleeding events require a delicate balance, as the approach to managing their conditions must weigh the potential benefits against the potential risks.

There are two potential strategies to personalising the antiplatelet treatment regimen based on the individual risk of ischemic and bleeding complications.8 The first strategy is an approach based on clinical judgment, where the practitioner uses commonly available parameters, including clinical, demographic, laboratory, and procedural, along with their experience to make decisions. The second strategy is an approach based on guidance from assays that may inform on how a patient is responding (i.e. PFT) or may respond (i.e. genetic testing) to an antiplatelet agent. This may include results from PFT that measure the individual’s response to an antiplatelet drug which correlates with an adverse outcome (e.g. hyper- and hypo-responders with bleeding and thrombotic events, respectively). Alternatively, genetic testing provides information about how an individual may respond to a given antiplatelet agent (e.g. genetic polymorphisms coding for an enzyme involved in drug metabolism may lead to different degrees of enzyme activity). Both strategies aim to optimize the benefits of antiplatelet therapy in reducing the risk of ischemic complications and mitigate the risk of bleeding complications.

Clinically guided approach

The standard approach to antiplatelet therapy in patients with CAD is to prescribe 6 months of DAPT after PCI for CCS and 12 months after an ACS with or without PCI.22,24–27 In particular, in addition to aspirin, clopidogrel is the P2Y12 inhibitor of choice in patients with CCS, while prasugrel (in patients undergoing PCI) and ticagrelor (regardless of revascularization) are preferred over clopidogrel in patients with ACS, with ESC guidelines recommending prasugrel over ticagrelor in patients undergoing PCI.22,28 Indeed, the duration of DAPT can be prolonged or shortened according the ischemic and bleeding risk profile of the patient. In patients who are at increased risk for both ischemic and bleeding complications, bleeding, more than ischemic risk or PCI complexity, should inform decision-making on the duration of DAPT.29 After completion of DAPT, patients should resume single antiplatelet therapy (SAPT). Aspirin has been the standard of care for SAPT in most patients with CAD. However, there is emerging evidence in the post-PCI setting supporting the use of a P2Y12 inhibitor as chronic monotherapy instead.30,31

In addition to variations in the duration of DAPT, the availability of different oral antiplatelet agents as well as a better understanding of the timing at which patients may be at an enhanced risk of thrombotic or bleeding complications has led strategies of modulation of the intensity of antiplatelet therapy as an approach to optimize the safety–efficacy balance in an individual patient. In particular, modulation of the antiplatelet treatment regimen may occur in two ways: by reducing (i.e. de-escalation) or increasing (i.e. escalation) the intensity of platelet inhibition (Figure 3).32,33Table 3 summarizes the results of contemporary randomized clinical trials of antiplatelet therapy modulation. The results of these studies can guide a patient-centric approach where physicians use their clinical judgment and expertise to determine which candidates are best suited for a specific investigational treatment plan.

Strategies of antiplatelet therapy modulation. Antiplatelet therapy can be modulated in two ways: by reducing (i.e. de-escalation) or increasing (i.e. escalation) the intensity of platelet inhibition.
Figure 3

Strategies of antiplatelet therapy modulation. Antiplatelet therapy can be modulated in two ways: by reducing (i.e. de-escalation) or increasing (i.e. escalation) the intensity of platelet inhibition.

Table 3

Contemporary randomized controlled trials of unselective modulation of antiplatelet therapy

TrialModulationStrategynPopulationFollow-upPrimary endpointFindings
TOPIC34De-escalationSwitch from prasugrel or ticagrelor to clopidogrel646ACS and PCI12 monthsNACEHR, 0.48; 95% CI, 0.34–0.68; P < 0.01
TALOS-AMI35De-escalationSwitch from ticagrelor to clopidogrel2697Prior ACS and PCI11 monthsNACEHR, 0.55; 95% CI, 0.40–0.76; P = 0.0001
HOST-REDUCE36De-escalationDose reduction from prasugrel 10 to 5 mg once daily2338ACS and PCI12 monthsNACEHR, 0.70; 95% CI, 0.52–0.92; P = 0.012
ONE-MONTH DAPT37De-escalationDiscontinuation of the P2Y12 inhibitor (1 vs. 6–12 months of DAPT)3020CCS and PCI12 monthsNACEARD, -0.7%; upper limit of 1-sided 97.5% CI, 1.33%; P < 0.001 for noninferiority
SMART-DATE38De-escalationDiscontinuation of the P2Y12 inhibitor (6 vs. 12 months of DAPT)2712ACS and PCI18 monthsMACEARD, 0.5%; upper limit of 1-sided 95% CI, 1.8%; P = 0.03 for noninferiority
REDUCE ACS39De-escalationDiscontinuation of the P2Y12 inhibitor (3 vs. 12 months of DAPT)1496ACS and PCI12 monthsNACEARD, -0.0022%; upper limit of 1-sided 95% CI, 0.027%; P < 0.001 for noninferiority
DAPT STEMI40De-escalationDiscontinuation of the P2Y12 inhibitor (6 vs. 12 months of DAPT)1100Prior ACS and PCI18 monthsNACEHR, 0.73; 95% CI 0.41–1.27; P = 0.004 for noninferiority
GLOBAL LEADERS41De-escalationDiscontinuation of aspirin (1 vs. 12 months of DAPT)15 968PCI24 monthsMACERate ratio, 0.87; 95% CI, 0.75–1.01; P = 0.073)
TWILIGHT42De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)7119PCI12 monthsBleedingHR, 0.56; 95% CI, 0.45–0.68; P < 0.001
STOPDAPT-243De-escalationDiscontinuation of aspirin (1 vs. 12 months of DAPT)3045PCI12 monthsNACEHR, 0.64; 95% CI, 0.42–0.98; P = 0.04
SMART-CHOICE44De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)2993PCI12 monthsMACEARD, 0.4%, upper limit of 1-sided 95% CI, 1.3%; P = 0.007 for noninferiority
TICO45De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)3056ACS12 monthsNACEHR, 0.66; 95% CI, 0.48–0.92; P = 0.01
STOPDAPT-2 ACS46De-escalationDiscontinuation of aspirin (1–2 vs. 12 months of DAPT)4169ACS12 monthsNACEHR, 1.14; 95% CI, 0.80–1.62; P = 0.06 for noninferiority
MASTER DAPT47De-escalationDiscontinuation of aspirin or the P2Y12 inhibitor (1 vs. ≥3 months of DAPT)4434PCI11 monthsNACEARD, -0.23%, upper limit of 95% CI, 1.33%; P < 0.001 for noninferiority
HOST-IDEA48De-escalationDiscontinuation or the P2Y12 inhibitor (3–6 vs. 12 months of DAPT)2013PCI12 monthsNACEARD, -0.4%, upper limit of 1-sided 95%, 1.1%; P < 0.001 for noninferiority
DAPT49EscalationAdd-on P2Y12 inhibitor (30 vs. 12gr months of DAPT)9961Prior PCI18 monthsMACEHR, 0.71; 95% CI, 0.59–0.85; P < 0.001
PEGASUS-TIMI 5450EscalationAdd-on ticagrelor (long-term DAPT vs. aspirin)21 162Prior MI∼33 monthsMACEHR (ticagrelor 90 mg), 0.85; 95% CI, 0.75–0.96; P = 0.008; HR (ticagrelor 60 mg), 0.84; 95% CI, 0.74–0.95; P = 0.004
THEMIS51EscalationAdd-on ticagrelor (long-term DAPT vs. aspirin)19 220CCS and diabetes∼40 monthsMACEHR, 0.90; 95% CI, 0.81–0.99; P = 0.04
TrialModulationStrategynPopulationFollow-upPrimary endpointFindings
TOPIC34De-escalationSwitch from prasugrel or ticagrelor to clopidogrel646ACS and PCI12 monthsNACEHR, 0.48; 95% CI, 0.34–0.68; P < 0.01
TALOS-AMI35De-escalationSwitch from ticagrelor to clopidogrel2697Prior ACS and PCI11 monthsNACEHR, 0.55; 95% CI, 0.40–0.76; P = 0.0001
HOST-REDUCE36De-escalationDose reduction from prasugrel 10 to 5 mg once daily2338ACS and PCI12 monthsNACEHR, 0.70; 95% CI, 0.52–0.92; P = 0.012
ONE-MONTH DAPT37De-escalationDiscontinuation of the P2Y12 inhibitor (1 vs. 6–12 months of DAPT)3020CCS and PCI12 monthsNACEARD, -0.7%; upper limit of 1-sided 97.5% CI, 1.33%; P < 0.001 for noninferiority
SMART-DATE38De-escalationDiscontinuation of the P2Y12 inhibitor (6 vs. 12 months of DAPT)2712ACS and PCI18 monthsMACEARD, 0.5%; upper limit of 1-sided 95% CI, 1.8%; P = 0.03 for noninferiority
REDUCE ACS39De-escalationDiscontinuation of the P2Y12 inhibitor (3 vs. 12 months of DAPT)1496ACS and PCI12 monthsNACEARD, -0.0022%; upper limit of 1-sided 95% CI, 0.027%; P < 0.001 for noninferiority
DAPT STEMI40De-escalationDiscontinuation of the P2Y12 inhibitor (6 vs. 12 months of DAPT)1100Prior ACS and PCI18 monthsNACEHR, 0.73; 95% CI 0.41–1.27; P = 0.004 for noninferiority
GLOBAL LEADERS41De-escalationDiscontinuation of aspirin (1 vs. 12 months of DAPT)15 968PCI24 monthsMACERate ratio, 0.87; 95% CI, 0.75–1.01; P = 0.073)
TWILIGHT42De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)7119PCI12 monthsBleedingHR, 0.56; 95% CI, 0.45–0.68; P < 0.001
STOPDAPT-243De-escalationDiscontinuation of aspirin (1 vs. 12 months of DAPT)3045PCI12 monthsNACEHR, 0.64; 95% CI, 0.42–0.98; P = 0.04
SMART-CHOICE44De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)2993PCI12 monthsMACEARD, 0.4%, upper limit of 1-sided 95% CI, 1.3%; P = 0.007 for noninferiority
TICO45De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)3056ACS12 monthsNACEHR, 0.66; 95% CI, 0.48–0.92; P = 0.01
STOPDAPT-2 ACS46De-escalationDiscontinuation of aspirin (1–2 vs. 12 months of DAPT)4169ACS12 monthsNACEHR, 1.14; 95% CI, 0.80–1.62; P = 0.06 for noninferiority
MASTER DAPT47De-escalationDiscontinuation of aspirin or the P2Y12 inhibitor (1 vs. ≥3 months of DAPT)4434PCI11 monthsNACEARD, -0.23%, upper limit of 95% CI, 1.33%; P < 0.001 for noninferiority
HOST-IDEA48De-escalationDiscontinuation or the P2Y12 inhibitor (3–6 vs. 12 months of DAPT)2013PCI12 monthsNACEARD, -0.4%, upper limit of 1-sided 95%, 1.1%; P < 0.001 for noninferiority
DAPT49EscalationAdd-on P2Y12 inhibitor (30 vs. 12gr months of DAPT)9961Prior PCI18 monthsMACEHR, 0.71; 95% CI, 0.59–0.85; P < 0.001
PEGASUS-TIMI 5450EscalationAdd-on ticagrelor (long-term DAPT vs. aspirin)21 162Prior MI∼33 monthsMACEHR (ticagrelor 90 mg), 0.85; 95% CI, 0.75–0.96; P = 0.008; HR (ticagrelor 60 mg), 0.84; 95% CI, 0.74–0.95; P = 0.004
THEMIS51EscalationAdd-on ticagrelor (long-term DAPT vs. aspirin)19 220CCS and diabetes∼40 monthsMACEHR, 0.90; 95% CI, 0.81–0.99; P = 0.04

Treatment effects are reported for the investigational strategy vs. standard dual antiplatelet therapy. In MASTER DAPT, NACE is reported as the first ranked primary outcome. P-values are for superiority unless otherwise specified. Abbreviations: ACS, acute coronary syndrome; ARD, absolute risk difference; CCS, chronic coronary syndrome; CI, confidence interval; DAPT, dual antiplatelet therapy; HR, hazard ratio; MACE, major adverse cardiac events; MI, myocardial infarction; NACE, net adverse cardiac events; PCI, percutaneous coronary intervention.

Table 3

Contemporary randomized controlled trials of unselective modulation of antiplatelet therapy

TrialModulationStrategynPopulationFollow-upPrimary endpointFindings
TOPIC34De-escalationSwitch from prasugrel or ticagrelor to clopidogrel646ACS and PCI12 monthsNACEHR, 0.48; 95% CI, 0.34–0.68; P < 0.01
TALOS-AMI35De-escalationSwitch from ticagrelor to clopidogrel2697Prior ACS and PCI11 monthsNACEHR, 0.55; 95% CI, 0.40–0.76; P = 0.0001
HOST-REDUCE36De-escalationDose reduction from prasugrel 10 to 5 mg once daily2338ACS and PCI12 monthsNACEHR, 0.70; 95% CI, 0.52–0.92; P = 0.012
ONE-MONTH DAPT37De-escalationDiscontinuation of the P2Y12 inhibitor (1 vs. 6–12 months of DAPT)3020CCS and PCI12 monthsNACEARD, -0.7%; upper limit of 1-sided 97.5% CI, 1.33%; P < 0.001 for noninferiority
SMART-DATE38De-escalationDiscontinuation of the P2Y12 inhibitor (6 vs. 12 months of DAPT)2712ACS and PCI18 monthsMACEARD, 0.5%; upper limit of 1-sided 95% CI, 1.8%; P = 0.03 for noninferiority
REDUCE ACS39De-escalationDiscontinuation of the P2Y12 inhibitor (3 vs. 12 months of DAPT)1496ACS and PCI12 monthsNACEARD, -0.0022%; upper limit of 1-sided 95% CI, 0.027%; P < 0.001 for noninferiority
DAPT STEMI40De-escalationDiscontinuation of the P2Y12 inhibitor (6 vs. 12 months of DAPT)1100Prior ACS and PCI18 monthsNACEHR, 0.73; 95% CI 0.41–1.27; P = 0.004 for noninferiority
GLOBAL LEADERS41De-escalationDiscontinuation of aspirin (1 vs. 12 months of DAPT)15 968PCI24 monthsMACERate ratio, 0.87; 95% CI, 0.75–1.01; P = 0.073)
TWILIGHT42De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)7119PCI12 monthsBleedingHR, 0.56; 95% CI, 0.45–0.68; P < 0.001
STOPDAPT-243De-escalationDiscontinuation of aspirin (1 vs. 12 months of DAPT)3045PCI12 monthsNACEHR, 0.64; 95% CI, 0.42–0.98; P = 0.04
SMART-CHOICE44De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)2993PCI12 monthsMACEARD, 0.4%, upper limit of 1-sided 95% CI, 1.3%; P = 0.007 for noninferiority
TICO45De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)3056ACS12 monthsNACEHR, 0.66; 95% CI, 0.48–0.92; P = 0.01
STOPDAPT-2 ACS46De-escalationDiscontinuation of aspirin (1–2 vs. 12 months of DAPT)4169ACS12 monthsNACEHR, 1.14; 95% CI, 0.80–1.62; P = 0.06 for noninferiority
MASTER DAPT47De-escalationDiscontinuation of aspirin or the P2Y12 inhibitor (1 vs. ≥3 months of DAPT)4434PCI11 monthsNACEARD, -0.23%, upper limit of 95% CI, 1.33%; P < 0.001 for noninferiority
HOST-IDEA48De-escalationDiscontinuation or the P2Y12 inhibitor (3–6 vs. 12 months of DAPT)2013PCI12 monthsNACEARD, -0.4%, upper limit of 1-sided 95%, 1.1%; P < 0.001 for noninferiority
DAPT49EscalationAdd-on P2Y12 inhibitor (30 vs. 12gr months of DAPT)9961Prior PCI18 monthsMACEHR, 0.71; 95% CI, 0.59–0.85; P < 0.001
PEGASUS-TIMI 5450EscalationAdd-on ticagrelor (long-term DAPT vs. aspirin)21 162Prior MI∼33 monthsMACEHR (ticagrelor 90 mg), 0.85; 95% CI, 0.75–0.96; P = 0.008; HR (ticagrelor 60 mg), 0.84; 95% CI, 0.74–0.95; P = 0.004
THEMIS51EscalationAdd-on ticagrelor (long-term DAPT vs. aspirin)19 220CCS and diabetes∼40 monthsMACEHR, 0.90; 95% CI, 0.81–0.99; P = 0.04
TrialModulationStrategynPopulationFollow-upPrimary endpointFindings
TOPIC34De-escalationSwitch from prasugrel or ticagrelor to clopidogrel646ACS and PCI12 monthsNACEHR, 0.48; 95% CI, 0.34–0.68; P < 0.01
TALOS-AMI35De-escalationSwitch from ticagrelor to clopidogrel2697Prior ACS and PCI11 monthsNACEHR, 0.55; 95% CI, 0.40–0.76; P = 0.0001
HOST-REDUCE36De-escalationDose reduction from prasugrel 10 to 5 mg once daily2338ACS and PCI12 monthsNACEHR, 0.70; 95% CI, 0.52–0.92; P = 0.012
ONE-MONTH DAPT37De-escalationDiscontinuation of the P2Y12 inhibitor (1 vs. 6–12 months of DAPT)3020CCS and PCI12 monthsNACEARD, -0.7%; upper limit of 1-sided 97.5% CI, 1.33%; P < 0.001 for noninferiority
SMART-DATE38De-escalationDiscontinuation of the P2Y12 inhibitor (6 vs. 12 months of DAPT)2712ACS and PCI18 monthsMACEARD, 0.5%; upper limit of 1-sided 95% CI, 1.8%; P = 0.03 for noninferiority
REDUCE ACS39De-escalationDiscontinuation of the P2Y12 inhibitor (3 vs. 12 months of DAPT)1496ACS and PCI12 monthsNACEARD, -0.0022%; upper limit of 1-sided 95% CI, 0.027%; P < 0.001 for noninferiority
DAPT STEMI40De-escalationDiscontinuation of the P2Y12 inhibitor (6 vs. 12 months of DAPT)1100Prior ACS and PCI18 monthsNACEHR, 0.73; 95% CI 0.41–1.27; P = 0.004 for noninferiority
GLOBAL LEADERS41De-escalationDiscontinuation of aspirin (1 vs. 12 months of DAPT)15 968PCI24 monthsMACERate ratio, 0.87; 95% CI, 0.75–1.01; P = 0.073)
TWILIGHT42De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)7119PCI12 monthsBleedingHR, 0.56; 95% CI, 0.45–0.68; P < 0.001
STOPDAPT-243De-escalationDiscontinuation of aspirin (1 vs. 12 months of DAPT)3045PCI12 monthsNACEHR, 0.64; 95% CI, 0.42–0.98; P = 0.04
SMART-CHOICE44De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)2993PCI12 monthsMACEARD, 0.4%, upper limit of 1-sided 95% CI, 1.3%; P = 0.007 for noninferiority
TICO45De-escalationDiscontinuation of aspirin (3 vs. 12 months of DAPT)3056ACS12 monthsNACEHR, 0.66; 95% CI, 0.48–0.92; P = 0.01
STOPDAPT-2 ACS46De-escalationDiscontinuation of aspirin (1–2 vs. 12 months of DAPT)4169ACS12 monthsNACEHR, 1.14; 95% CI, 0.80–1.62; P = 0.06 for noninferiority
MASTER DAPT47De-escalationDiscontinuation of aspirin or the P2Y12 inhibitor (1 vs. ≥3 months of DAPT)4434PCI11 monthsNACEARD, -0.23%, upper limit of 95% CI, 1.33%; P < 0.001 for noninferiority
HOST-IDEA48De-escalationDiscontinuation or the P2Y12 inhibitor (3–6 vs. 12 months of DAPT)2013PCI12 monthsNACEARD, -0.4%, upper limit of 1-sided 95%, 1.1%; P < 0.001 for noninferiority
DAPT49EscalationAdd-on P2Y12 inhibitor (30 vs. 12gr months of DAPT)9961Prior PCI18 monthsMACEHR, 0.71; 95% CI, 0.59–0.85; P < 0.001
PEGASUS-TIMI 5450EscalationAdd-on ticagrelor (long-term DAPT vs. aspirin)21 162Prior MI∼33 monthsMACEHR (ticagrelor 90 mg), 0.85; 95% CI, 0.75–0.96; P = 0.008; HR (ticagrelor 60 mg), 0.84; 95% CI, 0.74–0.95; P = 0.004
THEMIS51EscalationAdd-on ticagrelor (long-term DAPT vs. aspirin)19 220CCS and diabetes∼40 monthsMACEHR, 0.90; 95% CI, 0.81–0.99; P = 0.04

Treatment effects are reported for the investigational strategy vs. standard dual antiplatelet therapy. In MASTER DAPT, NACE is reported as the first ranked primary outcome. P-values are for superiority unless otherwise specified. Abbreviations: ACS, acute coronary syndrome; ARD, absolute risk difference; CCS, chronic coronary syndrome; CI, confidence interval; DAPT, dual antiplatelet therapy; HR, hazard ratio; MACE, major adverse cardiac events; MI, myocardial infarction; NACE, net adverse cardiac events; PCI, percutaneous coronary intervention.

De-escalation—By reducing the intensity of platelet inhibition, de-escalation is an approach aimed at decreasing the risk of bleeding complications when they are deemed to be greater than the risk of thrombotic complications. This can be achieved by adjusting the type, dose, or number of antiplatelet drugs used. Several trials have investigated these approaches in contemporary populations mostly including patients undergoing PCI. Importantly, some of these trials only randomized patients who did not experience a thrombotic or bleeding during the initial period of DAPT.35,42,47 This may have resulted in some degree of patient selection and therefore less generalizability compared with trials that randomized at the time of PCI. On the other hand, this design avoided the potential confounding arising from events occurring at that time when the two arms were on the same regimen.

A first common form of de-escalation is switching (i.e. adjusting drug type approach), where a clinician changes from an agent associated with more potent to less potent P2Y12 inhibition.52 This is often performed in patients who have been initially treated for an ACS with a guideline recommended DAPT regimen including prasugrel or ticagrelor, as these drugs are associated with an increased risk of major spontaneous bleeding compared to clopidogrel.53,54 Two trials in ACS, named TOPIC and TALOS-AMI, have demonstrated the net benefit of an unguided switching to clopidogrel at 1 month post-ACS.34,35 Both trials reported a reduction in bleeding as the driving factor behind the improved outcomes.

Another approach to de-escalating antiplatelet therapy is reducing the dose (i.e. adjusting drug dose approach) of the P2Y12 inhibitor characterized by enhanced platelet inhibitory effects (i.e. prasugrel or ticagrelor) used in DAPT combinations. This strategy may be desirable when there are concerns about excessive drug exposure, particularly in ethnicities such as East Asian patients. One trial, the HOST-REDUCE, found that reducing the maintenance dose of prasugrel from 10 to 5 mg once daily at 1 month reduced the risk of net adverse cardiac events (NACE) at 1 year in patients with ACS undergoing PCI.36 Also, the recommended maintenance dose of ticagrelor is 90 mg twice daily for the first year after an ACS but de-escalation to a dosing regimen of 60 mg twice daily can be used after 1 year based on the results of the PEGASUS-TIMI 54 trial, where the 60 mg dosing regimen was found to have similar efficacy to the 90 mg dosing regimen but had a more favorable safety profile in terms of bleeding and non-bleeding side effects.50

A third viable de-escalation approach is the discontinuation of DAPT (i.e. adjusting drug number approach), which means stopping of one of the DAPT antiplatelet agents and transitioning to SAPT with aspirin or a P2Y12 inhibitor. The timing of discontinuation has progressively been moved earlier after PCI with the current generation of coronary stents. Several single-arm studies using historical controls or objective performance goals support the concept that 1 to 3 months of DAPT may be enough in patients at high risk of bleeding.47,55–57 Regardless of bleeding risk, studies such as the ONE-MONTH DAPT trial37,58 in patients with CCS or ACS, and the SMART-DATE trial,38 REDUCE-ACS,39 and DAPT-STEMI40 trials in patients with ACS have shown that early discontinuation of the P2Y12 inhibitor with transition from DAPT to aspirin monotherapy (i.e. at 1 to 6 months) is noninferior to discontinuation at 6 to 12 months in terms of 1-year NACE. These trials used wide noninferiority margins, which raises a note of caution over generalizing their results. Additionally, there were signals of an increase in thrombotic complications with shorter DAPT especially in ACS.38,39,58

Several studies compared strategies of aspirin discontinuation and P2Y12 inhibitor monotherapy after a short (e.g. 1–3 months) period of DAPT in patients undergoing PCI, including GLOBAL LEADERS41 and TWILIGHT42 (testing SAPT with ticagrelor), and STOPDAPT-243 and SMART-CHOICE44 (testing SAPT with clopidogrel). With the exception of the GLOBAL LEADERS that did not meet its primary objective, these studies have shown a reduction in bleeding without any trade-off in ischemic events with P2Y12 inhibitor monotherapy compared with standard DAPT. Two more trials, named TICO45 and STOPDAPT-2 ACS,46 compared early aspirin discontinuation and maintaining SAPT with a P2Y12 inhibitor vs. 12-month DAPT on 1-year NACE specifically in ACS patients: TICO (testing SAPT with ticagrelor) showed superiority, while STOPDAPT-2 ACS (testing SAPT with clopidogrel) failed in showing noninferiority. Although PFT or genetic testing were not performed in STOPDAPT-2 ACS, it may be argued that its findings could be in part attributed to impaired response to clopidogrel which more commonly occurs in high-risk settings. Indeed, this represents an opportunity for future studies of individualized treatment options in which defining response to therapy when relying on SAPT with P2Y12 inhibitor monotherapy should be considered. Of note, ticagrelor monotherapy after a short period of DAPT showed promising results also in ACS sub-analyses of the GLOBAL LEADERS59 and TWILIGHT60 trials.

Finally, some trials compared standard DAPT with strategies of aspirin discontinuation or P2Y12 inhibitor monotherapy at the physician’s discretion. The MASTER DAPT trial selectively randomized patients at high bleeding risk and found that discontinuing the P2Y12 inhibitor or aspirin at 1 month was noninferior to continuing for at least two additional months with respect to 1-year NACE or major adverse cardiac events (MACE), and was associated with reduced bleeding.61 In the HOST-IDEA trial, the discontinuation of one of antiplatelet agent at 3–6 months was noninferior with respect to 1-year NACE in patients with CCS or ACS undergoing PCI.48

Escalation—Antiplatelet therapy escalation is meant to decrease thrombotic or ischemic complications by increasing the intensity of platelet inhibition at a time when such risk is considered greater than the risk of bleeding complications. Again, this can be achieved by adjusting the type, dose, or number of antiplatelet drugs used.

Escalation by switching refers to the practice of changing from a platelet P2Y12 receptor inhibitor with moderate platelet inhibitory effects, such as clopidogrel, to one with stronger platelet inhibitory effects, such as prasugrel or ticagrelor.52 This change is sometimes considered for patients treated with a clopidogrel-based DAPT regimen who present with an acute cardiac event or patients with CCS undergoing high-risk PCI. However, there are currently no data to support that prasugrel or ticagrelor are more effective than clopidogrel among patients undergoing elective PCI.62,63

Escalation by dose increase refers to the practice of increasing the dose of an antiplatelet drug with the goal of intensifying the platelet inhibitory effect. This approach has been tested in a clinical trial of doubled clopidogrel or aspirin dose for patients undergoing PCI64 and a trial of doubled aspirin dose for patients with cardiovascular disease,65 but in both cases, the results have been neutral.

‘Add-on’ escalation refers to the practice of adding a second antiplatelet drug to a patient who is already receiving SAPT, most commonly aspirin. This strategy results in DAPT, and has been shown to be superior to SAPT in reducing ischemic events in various patient populations, including those with a history of prior PCI from the DAPT trial,49 those with prior MI from the PEGASUS-TIMI 54 trial,50 and those with CAD but without a prior acute cardiovascular event and with diabetes mellitus from the THEMIS trial.51 The benefit of DAPT in THEMIS was more pronounced in patients with prior PCI.66

Platelet function and genotype-guided approaches

Despite compliance to antiplatelet treatment, some patients may still experience ischemic events, a phenomenon known as ‘therapeutic failure’.67 A number of factors contribute to therapeutic failure, including impaired response to an antiplatelet agent, commonly referred to as ‘drug resistance’. Such finding is supported by a number of observational studies, mostly conducted in patients undergoing PCI and treated with clopidogrel-based DAPT, in which the use of PFT has shown that individuals who persist with high on-treatment platelet reactivity (HPR) are at increased risk for thrombotic complications.68 Some studies have also shown that patients with low on-treatment platelet reactivity are at increased risk of bleeding,68 although the overall evidence seems more robust for the prediction of ischemic risk.

The efficacy of clopidogrel is dependent on a two-step activation process by the hepatic cytochrome P450 (CYP) system, with the CYP2C19 enzyme involved in both metabolic steps.9,69 Notably, CYP2C19 is highly polymorphic, meaning that variants in the gene confer wide variability in the enzyme’s metabolic activity across individuals. Therefore, there is wide variability in the activation of clopidogrel and in the resulting platelet inhibitory effects across individuals. Prasugrel and ticagrelor, however, are not affected by such genetic polymorphisms resulting in more consistent and sustained platelet inhibitory effects.9 Carriers of CYP2C19 loss of function (LOF) alleles have significantly reduced clopidogrel metabolism, resulting in lower levels of active metabolite, reduced clopidogrel-induced platelet inhibition and higher rates of thrombotic complications in patients undergoing PCI.70,71 The most common LOF alleles include CYP2C19*2 and CYP2C19*3; less common LOF alleles include CYP2C19 *4, *5, *6, *7, and *8. On the contrary, CYP2C19*17 is considered a gain of function allele and is associated with increased transcription and enzyme expression.9 Combinations of CYP2C19 alleles define the metabolizer status and serve for the basis of therapeutic recommendations (Table 4). 72 Allele frequencies vary by ancestry, with the highest prevalences among of East Asians.73

Table 4

Clopidogrel therapy based on CYP2C19 phenotype for ACS/PCI patients initiating antiplatelet therapy

Phenotype (genotype)Implications for clopidogrelTherapeutic recommendations
UM (*1/*17, *17/*17) and EM (*1/*1)Normal (EM) or increased (UM) platelet inhibition; normal (EM) or decreased (UM) residual platelet aggregationClopidogrel label-recommended dosage and administration
Intermediate metabolizers (*1/*2)Reduced platelet inhibition; increased residual platelet aggregation; increased risk for adverse cardiovascular eventsPrasugrel or ticagrelor (if no contraindications)
PM (*2/*2)Significantly reduced platelet inhibition; increased residual platelet aggregation; increased risk for adverse cardiovascular eventsPrasugrel or ticagrelor (if no contraindications)
Phenotype (genotype)Implications for clopidogrelTherapeutic recommendations
UM (*1/*17, *17/*17) and EM (*1/*1)Normal (EM) or increased (UM) platelet inhibition; normal (EM) or decreased (UM) residual platelet aggregationClopidogrel label-recommended dosage and administration
Intermediate metabolizers (*1/*2)Reduced platelet inhibition; increased residual platelet aggregation; increased risk for adverse cardiovascular eventsPrasugrel or ticagrelor (if no contraindications)
PM (*2/*2)Significantly reduced platelet inhibition; increased residual platelet aggregation; increased risk for adverse cardiovascular eventsPrasugrel or ticagrelor (if no contraindications)

Adapted from Scott et al.72 Abbreviations: EM, extensive metabolizers; PM, poor metabolizers; UM, ultrarapid metabolizers.

Table 4

Clopidogrel therapy based on CYP2C19 phenotype for ACS/PCI patients initiating antiplatelet therapy

Phenotype (genotype)Implications for clopidogrelTherapeutic recommendations
UM (*1/*17, *17/*17) and EM (*1/*1)Normal (EM) or increased (UM) platelet inhibition; normal (EM) or decreased (UM) residual platelet aggregationClopidogrel label-recommended dosage and administration
Intermediate metabolizers (*1/*2)Reduced platelet inhibition; increased residual platelet aggregation; increased risk for adverse cardiovascular eventsPrasugrel or ticagrelor (if no contraindications)
PM (*2/*2)Significantly reduced platelet inhibition; increased residual platelet aggregation; increased risk for adverse cardiovascular eventsPrasugrel or ticagrelor (if no contraindications)
Phenotype (genotype)Implications for clopidogrelTherapeutic recommendations
UM (*1/*17, *17/*17) and EM (*1/*1)Normal (EM) or increased (UM) platelet inhibition; normal (EM) or decreased (UM) residual platelet aggregationClopidogrel label-recommended dosage and administration
Intermediate metabolizers (*1/*2)Reduced platelet inhibition; increased residual platelet aggregation; increased risk for adverse cardiovascular eventsPrasugrel or ticagrelor (if no contraindications)
PM (*2/*2)Significantly reduced platelet inhibition; increased residual platelet aggregation; increased risk for adverse cardiovascular eventsPrasugrel or ticagrelor (if no contraindications)

Adapted from Scott et al.72 Abbreviations: EM, extensive metabolizers; PM, poor metabolizers; UM, ultrarapid metabolizers.

Several studies have tried to answer whether a strategy of tailoring antiplatelet therapy with guidance from PFT or genotyping is associated with clinical benefit (Table 5). A meta-analysis including 11 randomised controlled trials and three observational studies of guided selection of antiplatelet therapy (PFT and genetic testing) for patients undergoing PCI (n = 20 743 patients) showed improvements in both composite and individual efficacy outcomes.83 More specifically, outcomes varied according to the strategy used, with an escalation approach associated with a significant reduction in ischaemic events without any trade-off in safety, and a de-escalation approach by switch or dose reduction associated with a significant reduction in bleeding, without any trade-off in efficacy. In a more recent network meta-analysis of 15 randomised controlled trials in patients with an ACS (n = 61 898 patients), compared with routine selection of potent P2Y12 inhibiting therapy (prasugrel or ticagrelor), a guided selection of P2Y12 inhibiting therapy was found to be associated with the most favourable balance between safety and efficacy.84

Table 5

Strategy trials of modulation of antiplatelet therapy guided by platelet function or genetic testing in patients undergoing percutaneous coronary intervention

TrialInterventionnPopulationFollow-upPrimary endpointFindings
Trials of PFT guidance
ARCTIC74PFT-guided escalation or de-escalation by switch or dose adjustment2240CCS or ACS12 monthsMACEHR, 1.13; 95% CI, 0.98–1.29; P = 0.10
ANTARCTIC75PFT-guided escalation or de-escalation by switch or dose adjustment877ACS12 monthsNACEHR, 1.00, 95% CI 0.78–1.29; P = 0.98
TROPICAL ACS76PFT-guided de-escalation by switch2610ACS12 monthsNACEHR, 0.81; 95% CI, 0.62–1.06; P = 0.0004 for noninferiority
PATH-PCI77PFT-guided escalation by switch2237CCS6 monthsNACEHR, 0.68, 95% CI, 0.49–0.95; P = 0.023
Trials of genetic guidance
PHARMCLO78Genotype-guided de-escalation by switch888ACS12 monthsNACEHR, 0.58; 95% CI, 0.43–0.78; P < 0.001
POPULAR GENETICS79Genotype-guided de-escalation by switch2488ACS12 monthsNACEARD, -0.7%; upper limit of the 95% CI, 0.7%; P < 0.001 for noninferiority
ADAPT-PCI80Genotype-guided escalation by switch509CCS or ACS∼16 monthsUse of prasugrel or ticagrelorOR, 1.60; 95% CI, 1.07–2.42; P = 0.03
TAILOR-PCI81Genotype-guided escalation by switch1849CCS or ACS12 monthsMACEHR, 0.66; 95% CI, 0.43–1.02; P = 0.06
Al-Rubaish et al.82Genotype-guided escalation by switch755ACS12 monthsNACEOR, 0.34; 95% CI, 0.20–0.59; P = NA
TrialInterventionnPopulationFollow-upPrimary endpointFindings
Trials of PFT guidance
ARCTIC74PFT-guided escalation or de-escalation by switch or dose adjustment2240CCS or ACS12 monthsMACEHR, 1.13; 95% CI, 0.98–1.29; P = 0.10
ANTARCTIC75PFT-guided escalation or de-escalation by switch or dose adjustment877ACS12 monthsNACEHR, 1.00, 95% CI 0.78–1.29; P = 0.98
TROPICAL ACS76PFT-guided de-escalation by switch2610ACS12 monthsNACEHR, 0.81; 95% CI, 0.62–1.06; P = 0.0004 for noninferiority
PATH-PCI77PFT-guided escalation by switch2237CCS6 monthsNACEHR, 0.68, 95% CI, 0.49–0.95; P = 0.023
Trials of genetic guidance
PHARMCLO78Genotype-guided de-escalation by switch888ACS12 monthsNACEHR, 0.58; 95% CI, 0.43–0.78; P < 0.001
POPULAR GENETICS79Genotype-guided de-escalation by switch2488ACS12 monthsNACEARD, -0.7%; upper limit of the 95% CI, 0.7%; P < 0.001 for noninferiority
ADAPT-PCI80Genotype-guided escalation by switch509CCS or ACS∼16 monthsUse of prasugrel or ticagrelorOR, 1.60; 95% CI, 1.07–2.42; P = 0.03
TAILOR-PCI81Genotype-guided escalation by switch1849CCS or ACS12 monthsMACEHR, 0.66; 95% CI, 0.43–1.02; P = 0.06
Al-Rubaish et al.82Genotype-guided escalation by switch755ACS12 monthsNACEOR, 0.34; 95% CI, 0.20–0.59; P = NA

Treatment effects are reported for the investigational strategy vs. standard dual antiplatelet therapy; P-values are for superiority unless otherwise specified. Abbreviations: ACS; acute coronary syndrome; ARD, absolute risk difference; CI, confidence interval; HPR, high platelet reactivity; HR, hazard ratio; LOF, loss of function; MACE; major adverse cardiac events; NA, not available; NACE, net adverse cardiac events; OR, odds ratio; PCI, percutaneous coronary intervention; PFT, platelet function testing.

Table 5

Strategy trials of modulation of antiplatelet therapy guided by platelet function or genetic testing in patients undergoing percutaneous coronary intervention

TrialInterventionnPopulationFollow-upPrimary endpointFindings
Trials of PFT guidance
ARCTIC74PFT-guided escalation or de-escalation by switch or dose adjustment2240CCS or ACS12 monthsMACEHR, 1.13; 95% CI, 0.98–1.29; P = 0.10
ANTARCTIC75PFT-guided escalation or de-escalation by switch or dose adjustment877ACS12 monthsNACEHR, 1.00, 95% CI 0.78–1.29; P = 0.98
TROPICAL ACS76PFT-guided de-escalation by switch2610ACS12 monthsNACEHR, 0.81; 95% CI, 0.62–1.06; P = 0.0004 for noninferiority
PATH-PCI77PFT-guided escalation by switch2237CCS6 monthsNACEHR, 0.68, 95% CI, 0.49–0.95; P = 0.023
Trials of genetic guidance
PHARMCLO78Genotype-guided de-escalation by switch888ACS12 monthsNACEHR, 0.58; 95% CI, 0.43–0.78; P < 0.001
POPULAR GENETICS79Genotype-guided de-escalation by switch2488ACS12 monthsNACEARD, -0.7%; upper limit of the 95% CI, 0.7%; P < 0.001 for noninferiority
ADAPT-PCI80Genotype-guided escalation by switch509CCS or ACS∼16 monthsUse of prasugrel or ticagrelorOR, 1.60; 95% CI, 1.07–2.42; P = 0.03
TAILOR-PCI81Genotype-guided escalation by switch1849CCS or ACS12 monthsMACEHR, 0.66; 95% CI, 0.43–1.02; P = 0.06
Al-Rubaish et al.82Genotype-guided escalation by switch755ACS12 monthsNACEOR, 0.34; 95% CI, 0.20–0.59; P = NA
TrialInterventionnPopulationFollow-upPrimary endpointFindings
Trials of PFT guidance
ARCTIC74PFT-guided escalation or de-escalation by switch or dose adjustment2240CCS or ACS12 monthsMACEHR, 1.13; 95% CI, 0.98–1.29; P = 0.10
ANTARCTIC75PFT-guided escalation or de-escalation by switch or dose adjustment877ACS12 monthsNACEHR, 1.00, 95% CI 0.78–1.29; P = 0.98
TROPICAL ACS76PFT-guided de-escalation by switch2610ACS12 monthsNACEHR, 0.81; 95% CI, 0.62–1.06; P = 0.0004 for noninferiority
PATH-PCI77PFT-guided escalation by switch2237CCS6 monthsNACEHR, 0.68, 95% CI, 0.49–0.95; P = 0.023
Trials of genetic guidance
PHARMCLO78Genotype-guided de-escalation by switch888ACS12 monthsNACEHR, 0.58; 95% CI, 0.43–0.78; P < 0.001
POPULAR GENETICS79Genotype-guided de-escalation by switch2488ACS12 monthsNACEARD, -0.7%; upper limit of the 95% CI, 0.7%; P < 0.001 for noninferiority
ADAPT-PCI80Genotype-guided escalation by switch509CCS or ACS∼16 monthsUse of prasugrel or ticagrelorOR, 1.60; 95% CI, 1.07–2.42; P = 0.03
TAILOR-PCI81Genotype-guided escalation by switch1849CCS or ACS12 monthsMACEHR, 0.66; 95% CI, 0.43–1.02; P = 0.06
Al-Rubaish et al.82Genotype-guided escalation by switch755ACS12 monthsNACEOR, 0.34; 95% CI, 0.20–0.59; P = NA

Treatment effects are reported for the investigational strategy vs. standard dual antiplatelet therapy; P-values are for superiority unless otherwise specified. Abbreviations: ACS; acute coronary syndrome; ARD, absolute risk difference; CI, confidence interval; HPR, high platelet reactivity; HR, hazard ratio; LOF, loss of function; MACE; major adverse cardiac events; NA, not available; NACE, net adverse cardiac events; OR, odds ratio; PCI, percutaneous coronary intervention; PFT, platelet function testing.

PFT—The availability of user-friendly and bedside assays has enabled the execution of multicentre randomized clinical trials in patients undergoing PCI testing the impact on outcomes associated with the use of PFT. Some of these trials where specifically conducted among patients with HPR (identified by PFT) and comparing different antiplatelet treatments,85,86 while other trials compared PFT guidance used as a strategy vs. standard care.74–77

The GRAVITAS trial included patients with HPR, who were randomly assigned to high-dose clopidogrel or standard-dose clopidogrel; the primary composite outcome showed no significant difference between the groups at 6 months.86 The TRIGGER PCI trial, also conducted selectively in patients with HPR, compared prasugrel and clopidogrel, but was terminated prematurely due to a lower-than-anticipated risk of events at 6 months.85 The ARCTIC and ANTARCTIC studies, evaluating a bedside strategy for monitoring and adjusting antiplatelet therapy (i.e. de-escalation or escalation by switch or dose adjustment as appropriate), also failed to show significant benefits.74,75

The inability of these early trials to demonstrate any clinical benefit with the use of PFT could be attributed to a number of factors, such as inclusion of low-risk patients, limited use of novel generation P2Y12 inhibitors, and inadequate cut-off values to define HPR. More recent studies conducted in high-risk settings have shown more promising findings.76,77 TROPICAL-ACS trial enrolled patients with ACS undergoing PCI, randomly assigned to either PFT guidance with de-escalation by switch from prasugrel to clopidogrel if responders or standard care.76 The trial, powered for noninferiority on NACE vs. standard DAPT, met its primary objective. The PATH-PCI trial also met its primary objective, showing superiority for the PFT-based approach.77

Guidance by genetic testing—Rapid CYP2C19 genotyping assays, with results available within 60 min, are commercially available making genetic testing feasible in real-world practice.87,88 Genetic testing has been evaluated as a method of guiding antiplatelet therapy in five studies of patients with PCI and/or ACS, with mixed results78–82 (Table 5).

In patients with ACS undergoing PCI, the PHARMCLO78 and POPULAR GENETICS79 trials compared the genotype-based selection of P2Y12 inhibitors (i.e. selective use of prasugrel or ticagrelor among CYP2C19 LOF carriers and clopidogrel in noncarriers) to unguided standard of care DAPT. Despite being terminated early and therefore resulting in lower power than anticipated, PHARMCLO showed the genotype-based approach to significantly reduce the risk of NACE. Similarly, in POPULAR GENETICS, the genotype-based approach was non-inferior to standard therapy in terms of NACE at 12 months, and resulted in a significantly lower incidence of major or minor bleedings.

In the ADAPT-PCI trial,80 the genotype-guided prescription was found to significantly increase the use of prasugrel or ticagrelor compared to an unguided approach in patients with ACS or CCS undergoing PCI. TAILOR-PCI81 was the largest trial of genotype-guided selection of oral P2Y12 inhibitor in which patients with ACS or CCS undergoing PCI were randomized to genotype-guidance or conventional therapy. In the genotype-guide group, CYP2C19 LOF carriers were prescribed ticagrelor and noncarriers clopidogrel. Patients randomized to the conventional group were prescribed clopidogrel. Although the genotype-guided approach showed a numerical reduction in MACE, this did not reach statistical significance, possibly due to a lack of power. However, a recent analysis from the TAILOR-PCI study did show superiority of a genotype-guided approach when considering recurrent events.89 Conversely, a trial from Al-Rubaish et al.,82 who only included patients with ACS, showed a significant benefit of the genotype-guided strategy in reducing NACE.

PFT and genetic testing: advantages and disadvantages

PFT has the advantage of being more closely related with the clinical outcome (i.e. increased thrombotic and bleeding complications with high and low platelet reactivity, respectively).16 Nevertheless, results of PFTs are subject to variability, particularly with clopidogrel early after treatment initiation, requiring patients to be on treatment for a certain period of time (e.g. for at least 1–2 weeks) to adequately assess antiplatelet drug response. Hence, the potential need for serial assessments as well as switching between different oral P2Y12 inhibitors may be challenging to implement in clinical practice.90 In contrast, results of genetic testing remain unchanged and allow to determine, even prior to therapy, the CYP2C19 phenotype associated with different degrees of clopidogrel response (Table 4). Accordingly, CYP2C19 LOF carriers can be treated with ticagrelor or prasugrel while noncarriers with clopidogrel. The disadvantage of relying solely on genetic testing is that the pharmacodynamic effects of clopidogrel as measured by PFT depend on multiple factors and not solely on CYP2C19 genotypes.91 To this extent, integrating genetic data with clinical variables, such as in the ABCD-GENE (Age, Body Mass Index, Chronic Kidney Disease, Diabetes, and Genotyping) score has shown to enhance the accuracy in identifying patients with impaired clopidogrel response.92 Although retrospective assessments have shown the ability of the ABCD-GENE score to identify patients at increased ischemic risk, prospective validation of this score is still warranted.93,94

Antiplatelet therapies, personalised strategies under clinical testing, and unmet needs

The challenge for new antiplatelet drugs for CAD is to exhibit less bleeding without reducing antithrombotic potency. Some of these developments may include new formulations of already available drugs, such as a phospholipid-aspirin complex which is designed to reduce gastro-intestinal injury and readily absorbed to ensure antithrombotic efficacy.95 Other drugs include novel experimental agents aimed at new targets. Potential new therapeutics are in advanced preclinical development or have already entered the clinical development phase.96 It remains to be seen how these new agents will fit within current paradigms of antiplatelet therapy and whether they will lead to safer combinations in clinical practice.

The value of risk stratification tools to guide clinical decisions is typically assessed by means of c-statistics indicating their discrimination ability. However, whether a risk score is helpful in improving clinical outcomes requires an intervention-based randomized clinical study. Trials of personalised duration of antiplatelet therapy based on the DAPT score (NCT04135989) and the PRECISE-DAPT score (NCT05732701, NCT03848572) are underway. Several ongoing randomized clinical trials are also addressing the role of PFT-guided strategies of antiplatelet therapy modulation in patients with ACS (NCT04755387, NCT04718025, NCT04240834, NCT04937699, NCT04338919, NCT05262803) and genotype-guided strategies in patients undergoing PCI (NCT03783351).

There are a number of unmet needs that may be stimulating for future studies. In fact, de-escalation strategies have used DAPT as a comparator and there is limited data comparing the different approaches. For example, there are no direct comparisons of de-escalation strategies involving aspirin withdrawal (i.e. P2Y12 inhibitor monotherapy) vs. switch guided by PFT or genotype testing. Additionally, most of the trials and evidence cited in this review investigated clinical outcomes over a relatively short time interval (i.e. 1 to 3 years). While strategies for long-term secondary prevention are also evolving rapidly, it is unclear which patients may be ideally suited for long-term DAPT vs. dual pathway inhibition the low-dose direct oral anticoagulants (i.e. rivaroxaban) vs. P2Y12 inhibitor monotherapy.

Guidelines

The ESC guidelines for myocardial revascularization97 and those for ACS22 include a low-grade recommendation (i.e. class IIb) for de-escalation by switch of P2Y12 receptor inhibitor treatment (e.g. from prasugrel or ticagrelor to clopidogrel), or de-escalation by dose reduction, as an alternative DAPT strategy ‘especially for ACS patients deemed unsuitable for potent platelet inhibition’. Also, the recommendation states that de-escalation by switch ‘may be done unguided based on clinical judgment or guided by PFT or CYP2C19 genotyping, depending on patient’s risk profile and availability of respective assays’. The level of evidence for this recommendation is A, with the TOPIC, TROPICAL-ACS, and POPULAR GENETICS trials used as supporting references. The phrasing of the recommendation, referring to patients ‘unsuitable for potent platelet inhibition’, implies that these approaches for now are best suited to patients at high bleeding risk, a population that was actually understudied in the abovementioned trials, while the application of a strategy should reflect the types of patients enrolled in the respective trials. No recommendation for de-escalation by switch has been issued by the recent American guidelines for myocardial revascularization.4

The ESC guidelines also include class IIa recommendations for de-escalation by discontinuation of the P2Y12 inhibitor at 3 months (level of evidence B, in patients at high bleeding risk as define by the PRECISE-DAPT score or by the ARC-HBR criteria) or aspirin at 3–6 months (level of evidence A, ‘depending on the balance between the ischemic and bleeding risk’). In the American guidelines, the recommendation for P2Y12 inhibitor discontinuation at 6 months is class 2b (for patients at ‘high bleeding risk or overt bleeding on DAPT’) and the recommendation for aspirin at 1–3 months discontinuation is 2a (potentially for any patient).

Additionally, the ESC guidelines include recommendations for escalation by ‘add-on’ of a P2Y12 inhibitor (class IIa, level of evidence A for patients ‘with a high risk of ischemic events and without increased risk of major or life-threatening bleeding’ and class IIb, level of evidence A for patients ‘with a moderate risk of ischemic events and without increased risk of major or life-threatening bleeding’). In the American guidelines, this approach is recommended with class 2b for patients ‘with no high risk of bleeding and no significant overt bleeding on DAPT’.

Conclusions

Personalised antiplatelet therapy has emerged as a crucial approach in optimizing the balance between efficacy and safety by customizing antiplatelet therapy to individual patient's needs and risk profile. Accurate risk stratification for both bleeding and thrombosis based on multiple factors can aid in selecting the appropriate antiplatelet therapy and prevent serious and life-threatening outcomes. With the introduction of PFT and rapid genotype characterization, personalised antiplatelet therapy is becoming more feasible and accessible. The comprehensive understanding of personalised antiplatelet therapy presented in this review can help clinicians make informed clinical decisions and tailor cardiovascular disease management.

Declarations

Disclosure of Interest

D.C. reports speaker’s or consulting fees from Amgen, Arena, Chiesi, Daiichi Sankyo, Sanofi, Terumo, and institutional fees from Medtronic. D.J.A. declares that he has received consulting fees or honoraria from Abbott, Amgen, AstraZeneca, Bayer, Biosensors, Boehringer Ingelheim, Bristol-Myers Squibb, Chiesi, Daiichi-Sankyo, Eli Lilly, Haemonetics, Janssen, Merck, Novartis, PhaseBio, PLx Pharma, Pfizer, Sanofi, and Vectura, outside the present work; D.J.A. also declares that his institution has received research grants from Amgen, AstraZeneca, Bayer, Biosensors, CeloNova, CSL Behring, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Janssen, Matsutani Chemical Industry Co., Merck, Novartis, Osprey Medical, Renal Guard Solutions, and Scott R. MacKenzie Foundation.

Data Availability

No new data were generated or analysed for this manuscript.

Funding

The research leading to this review has received funding from the European Union—NextGenerationEU through the Italian Ministry of University and Research under PNRR—M4C2-I1.3 Project PE_00000019 ‘HEAL ITALIA’ to Davide Capodanno, CUP E63C22002080006 of University of Catania. The views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.

References

1

Cao
D
,
Chandiramani
R
,
Chiarito
M
,
Claessen
BE
,
Mehran
R
.
Evolution of antithrombotic therapy in patients undergoing percutaneous coronary intervention: a 40-year journey
.
Eur Heart J
2021
;
42
:
339
351
. https://doi.org/10.1093/eurheartj/ehaa824

2

Tsao
CW
,
Aday
AW
,
Almarzooq
ZI
,
Alonso
A
,
Beaton
AZ
,
Bittencourt
MS
, et al.
Heart disease and stroke statistics—2022 update: a report from the American Heart Association
.
Circulation
2022
;
145
:
e153
e639
. https://doi.org/10.1161/cir.0000000000001052

3

Visseren
FLJ
,
Mach
F
,
Smulders
YM
,
Carballo
D
,
Koskinas
KC
,
Bäck
M
, et al.
2021 ESC guidelines on cardiovascular disease prevention in clinical practice
.
Eur Heart J
2021
;
42
:
3227
3337
. https://doi.org/10.1093/eurheartj/ehab484

4

Lawton
JS
,
Tamis-Holland
JE
,
Bangalore
S
,
Bates
ER
,
Beckie
TM
,
Bischoff
JM
, et al.
2021 ACC/AHA/SCAI guideline for coronary artery revascularization: executive summary: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines
.
Circulation
2022
;
145
:
e4
e17
. https://doi.org/10.1161/cir.0000000000001039

5

Nathan
AS
,
Sen
S
,
Yeh
RW
.
The risk of bleeding with the use of antiplatelet agents for the treatment of cardiovascular disease
.
Expert Opin Drug Saf
2017
;
16
:
561
572
. https://doi.org/10.1080/14740338.2017.1315101

6

Capodanno
D
,
Bhatt
DL
,
Gibson
CM
,
James
S
,
Kimura
T
,
Mehran
R
, et al.
Bleeding avoidance strategies in percutaneous coronary intervention
.
Nat Rev Cardiol
2022
;
19
:
117
132
. https://doi.org/10.1038/s41569-021-00598-1

7

Capodanno
D
,
Morice
MC
,
Angiolillo
DJ
,
Bhatt
DL
,
Byrne
RA
,
Colleran
R
, et al.
Trial design principles for patients at high bleeding risk undergoing PCI: JACC scientific expert panel
.
J Am Coll Cardiol
2020
;
76
:
1468
1483
. https://doi.org/10.1016/j.jacc.2020.06.085

8

Galli
M
,
Ortega-Paz
L
,
Franchi
F
,
Rollini
F
,
Angiolillo
DJ
.
Precision medicine in interventional cardiology: implications for antiplatelet therapy in patients undergoing percutaneous coronary intervention
.
Pharmacogenomics
2022
;
23
:
723
737
. https://doi.org/10.2217/pgs-2022-0057

9

Duarte
JD
,
Cavallari
LH
.
Pharmacogenetics to guide cardiovascular drug therapy
.
Nat Rev Cardiol
2021
;
18
:
649
665
. https://doi.org/10.1038/s41569-021-00549-w

10

Baber
U
,
Mehran
R
,
Giustino
G
,
Cohen
DJ
,
Henry
TD
,
Sartori
S
, et al.
Coronary thrombosis and major bleeding after PCI with drug-eluting stents: risk scores from PARIS
.
J Am Coll Cardiol
2016
;
67
:
2224
2234
. https://doi.org/10.1016/j.jacc.2016.02.064

11

Costa
F
,
van Klaveren
D
,
James
S
,
Heg
D
,
Räber
L
,
Feres
F
, et al.
Derivation and validation of the predicting bleeding complications in patients undergoing stent implantation and subsequent dual antiplatelet therapy (PRECISE-DAPT) score: a pooled analysis of individual-patient datasets from clinical trials
.
Lancet
2017
;
389
:
1025
1034
. https://doi.org/10.1016/s0140-6736(17)30397-5

12

Raposeiras-Roubín
S
,
Faxén
J
,
Íñiguez-Romo
A
,
Henriques
JPS
,
D'Ascenzo
F
,
Saucedo
J
, et al.
Development and external validation of a post-discharge bleeding risk score in patients with acute coronary syndrome: the BleeMACS score
.
Int J Cardiol
2018
;
254
:
10
15
. https://doi.org/10.1016/j.ijcard.2017.10.103

13

Urban
P
,
Mehran
R
,
Colleran
R
,
Angiolillo
DJ
,
Byrne
RA
,
Capodanno
D
, et al.
Defining high bleeding risk in patients undergoing percutaneous coronary intervention: a consensus document from the Academic Research Consortium for High Bleeding Risk
.
Eur Heart J
2019
;
40
:
2632
2653
. https://doi.org/10.1093/eurheartj/ehz372

14

Yeh
RW
,
Secemsky
EA
,
Kereiakes
DJ
,
Normand
SL
,
Gershlick
AH
,
Cohen
DJ
, et al.
Development and validation of a prediction rule for benefit and harm of dual antiplatelet therapy beyond 1 year after percutaneous coronary intervention
.
JAMA
2016
;
315
:
1735
1749
. https://doi.org/10.1001/jama.2016.3775

15

Urban
P
,
Gregson
J
,
Owen
R
,
Mehran
R
,
Windecker
S
,
Valgimigli
M
, et al.
Assessing the risks of bleeding vs thrombotic events in patients at high bleeding risk after coronary stent implantation: the ARC-high bleeding risk trade-off model
.
JAMA Cardiol
2021
;
6
:
410
419
. https://doi.org/10.1001/jamacardio.2020.6814

16

Galli
M
,
Franchi
F
,
Rollini
F
,
Angiolillo
DJ
.
Role of platelet function and genetic testing in patients undergoing percutaneous coronary intervention
.
Trends Cardiovasc Med
2023
;
33
:
13
138
. https://doi.org/10.1016/j.tcm.2021.12.007

17

Capodanno
D
,
Baber
U
,
Bhatt
DL
,
Collet
JP
,
Dangas
G
,
Franchi
F
, et al.
P2Y(12) inhibitor monotherapy in patients undergoing percutaneous coronary intervention
.
Nat Rev Cardiol
2022
;
19
:
829
844
. https://doi.org/10.1038/s41569-022-00725-6

18

Capodanno
D
,
Bhatt
DL
,
Eikelboom
JW
,
Fox
KAA
,
Geisler
T
,
Michael Gibson
C
, et al.
Dual-pathway inhibition for secondary and tertiary antithrombotic prevention in cardiovascular disease
.
Nat Rev Cardiol
2020
;
17
:
242
257
. https://doi.org/10.1038/s41569-019-0314-y

19

Angiolillo
DJ
,
Bhatt
DL
,
Cannon
CP
,
Eikelboom
JW
,
Gibson
CM
,
Goodman
SG
, et al.
Antithrombotic therapy in patients with atrial fibrillation treated with oral anticoagulation undergoing percutaneous coronary intervention: a North American perspective: 2021 update
.
Circulation
2021
;
143
:
583
596
. https://doi.org/10.1161/circulationaha.120.050438

20

Lip
GYH
,
Collet
JP
,
Haude
M
,
Byrne
R
,
Chung
EH
,
Fauchier
L
, et al.
2018 Joint European consensus document on the management of antithrombotic therapy in atrial fibrillation patients presenting with acute coronary syndrome and/or undergoing percutaneous cardiovascular interventions: a joint consensus document of the European Heart Rhythm Association (EHRA), European Society of Cardiology Working Group on Thrombosis, European Association of Percutaneous Cardiovascular Interventions (EAPCI), and European Association of Acute Cardiac Care (ACCA) endorsed by the Heart Rhythm Society (HRS), Asia-Pacific Heart Rhythm Society (APHRS), Latin America Heart Rhythm Society (LAHRS), and Cardiac Arrhythmia Society of Southern Africa (CASSA)
.
Europace
2019
;
21
:
192
193
. https://doi.org/10.1093/europace/euy174

21

Capodanno
D
,
Angiolillo
DJ
.
Tailoring duration of DAPT with risk scores
.
Lancet
2017
;
389
:
987
989
. https://doi.org/10.1016/s0140-6736(17)30591-3

22

Collet
JP
,
Thiele
H
,
Barbato
E
,
Barthélémy
O
,
Bauersachs
J
,
Bhatt
DL
, et al.
2020 ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation
.
Eur Heart J
2021
;
42
:
1289
1367
. https://doi.org/10.1093/eurheartj/ehaa575

23

Mohamed
MO
,
Kinnaird
T
,
Anderson
R
,
Rashid
M
,
Martin
GP
,
Freeman
P
, et al.
Combinations of bleeding and ischemic risk and their association with clinical outcomes in acute coronary syndrome
.
Int J Cardiol
2019
;
290
:
7
14
. https://doi.org/10.1016/j.ijcard.2019.05.035

24

Capodanno
D
,
Alfonso
F
,
Levine
GN
,
Valgimigli
M
,
Angiolillo
DJ
.
ACC/AHA versus ESC guidelines on dual antiplatelet therapy: JACC Guideline comparison
.
J Am Coll Cardiol
2018
;
72
:
2915
2931
. https://doi.org/10.1016/j.jacc.2018.09.057

25

Angiolillo
DJ
,
Galli
M
,
Collet
JP
,
Kastrati
A
,
O'Donoghue
ML
.
Antiplatelet therapy after percutaneous coronary intervention
.
EuroIntervention
2022
;
17
:
e1371
e1396
. https://doi.org/10.4244/eij-d-21-00904

26

Knuuti
J
,
Wijns
W
,
Saraste
A
,
Capodanno
D
,
Barbato
E
,
Funck-Brentano
C
, et al.
2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes
.
Eur Heart J
2020
;
41
:
407
477
. https://doi.org/10.1093/eurheartj/ehz425

27

Lawton
JS
,
Tamis-Holland
JE
,
Bangalore
S
,
Bates
ER
,
Beckie
TM
,
Bischoff
JM
, et al.
2021 ACC/AHA/SCAI guideline for coronary artery revascularization: a report of the American College of Cardiology/American Heart Association Joint Committee on clinical practice guidelines
.
Circulation
2022
;
145
:
e18
e114
. https://doi.org/10.1161/cir.0000000000001038

28

Schüpke
S
,
Neumann
FJ
,
Menichelli
M
,
Mayer
K
,
Bernlochner
I
,
Wöhrle
J
, et al.
Ticagrelor or prasugrel in patients with acute coronary syndromes
.
N Engl J Med
2019
;
381
:
1524
1534
. https://doi.org/10.1056/NEJMoa1908973

29

Costa
F
,
Van Klaveren
D
,
Feres
F
,
James
S
,
Räber
L
,
Pilgrim
T
, et al.
Dual antiplatelet therapy duration based on ischemic and bleeding risks after coronary stenting
.
J Am Coll Cardiol
2019
;
73
:
741
754
. https://doi.org/10.1016/j.jacc.2018.11.048

30

Koo
BK
,
Kang
J
,
Park
KW
,
Rhee
TM
,
Yang
HM
,
Won
KB
, et al.
Aspirin versus clopidogrel for chronic maintenance monotherapy after percutaneous coronary intervention (HOST-EXAM): an investigator-initiated, prospective, randomised, open-label, multicentre trial
.
Lancet
2021
;
397
:
2487
2496
. https://doi.org/10.1016/s0140-6736(21)01063-1

31

Capodanno
D
,
Angiolillo
DJ
.
Long-term P2Y(12) inhibitor or aspirin as single antiplatelet therapy in patients with previous percutaneous coronary intervention
.
Circulation
2023
;
147
:
118
121
. https://doi.org/10.1161/circulationaha.122.063004

32

Capodanno
D
,
Angiolillo
DJ
.
Timing, selection, modulation, and duration of P2Y(12) inhibitors for patients with acute coronary syndromes undergoing PCI
.
JACC Cardiovasc Interv
2023
;
16
:
1
18
. https://doi.org/10.1016/j.jcin.2022.10.023

33

Capodanno
D
,
Mehran
R
,
Krucoff
M
,
Baber
U
,
Bhatt
DL
,
Capranzano
P
, et al.
Defining strategies of modulation of antiplatelet therapy in patients with coronary artery disease: a consensus document from the Academic Research Consortium
.
Circulation
2023
.
In press
.

34

Cuisset
T
,
Deharo
P
,
Quilici
J
,
Johnson
TW
,
Deffarges
S
,
Bassez
C
, et al.
Benefit of switching dual antiplatelet therapy after acute coronary syndrome: the TOPIC (timing of platelet inhibition after acute coronary syndrome) randomized study
.
Eur Heart J
2017
;
38
:
3070
3078
. https://doi.org/10.1093/eurheartj/ehx175

35

Kim
CJ
,
Park
MW
,
Kim
MC
,
Choo
EH
,
Hwang
BH
,
Lee
KY
, et al.
Unguided de-escalation from ticagrelor to clopidogrel in stabilised patients with acute myocardial infarction undergoing percutaneous coronary intervention (TALOS-AMI): an investigator-initiated, open-label, multicentre, non-inferiority, randomised trial
.
Lancet
2021
;
398
:
1305
1316
. https://doi.org/10.1016/s0140-6736(21)01445-8

36

Kim
HS
,
Kang
J
,
Hwang
D
,
Han
JK
,
Yang
HM
,
Kang
HJ
, et al.
Prasugrel-based de-escalation of dual antiplatelet therapy after percutaneous coronary intervention in patients with acute coronary syndrome (HOST-REDUCE-POLYTECH-ACS): an open-label, multicentre, non-inferiority randomised trial
.
Lancet
2020
;
396
:
1079
1089
. https://doi.org/10.1016/s0140-6736(20)31791-8

37

Hong
SJ
,
Kim
JS
,
Hong
SJ
,
Lim
DS
,
Lee
SY
,
Yun
KH
, et al.
1-month dual-antiplatelet therapy followed by aspirin monotherapy after polymer-free drug-coated stent implantation: one-month DAPT trial
.
JACC Cardiovasc Interv
2021
;
14
:
1801
1811
. https://doi.org/10.1016/j.jcin.2021.06.003

38

Hahn
JY
,
Song
YB
,
Oh
JH
,
Cho
DK
,
Lee
JB
,
Doh
JH
, et al.
6-month versus 12-month or longer dual antiplatelet therapy after percutaneous coronary intervention in patients with acute coronary syndrome (SMART-DATE): a randomised, open-label, non-inferiority trial
.
Lancet
2018
;
391
:
1274
1284
. https://doi.org/10.1016/s0140-6736(18)30493-8

39

De Luca
G
,
Damen
SA
,
Camaro
C
,
Benit
E
,
Verdoia
M
,
Rasoul
S
, et al.
Final results of the randomised evaluation of short-term dual antiplatelet therapy in patients with acute coronary syndrome treated with a new-generation stent (REDUCE trial)
.
EuroIntervention
2019
;
15
:
e990
e998
. https://doi.org/10.4244/eij-d-19-00539

40

Kedhi
E
,
Fabris
E
,
van der Ent
M
,
Buszman
P
,
von Birgelen
C
,
Roolvink
V
, et al.
Six months versus 12 months dual antiplatelet therapy after drug-eluting stent implantation in ST-elevation myocardial infarction (DAPT-STEMI): randomised, multicentre, non-inferiority trial
.
BMJ
2018
;
363
:
k3793
. https://doi.org/10.1136/bmj.k3793

41

Vranckx
P
,
Valgimigli
M
,
Jüni
P
,
Hamm
C
,
Steg
PG
,
Heg
D
, et al.
Ticagrelor plus aspirin for 1 month, followed by ticagrelor monotherapy for 23 months vs aspirin plus clopidogrel or ticagrelor for 12 months, followed by aspirin monotherapy for 12 months after implantation of a drug-eluting stent: a multicentre, open-label, randomised superiority trial
.
Lancet
2018
;
392
:
940
949
. https://doi.org/10.1016/s0140-6736(18)31858-0

42

Mehran
R
,
Baber
U
,
Sharma
SK
,
Cohen
DJ
,
Angiolillo
DJ
,
Briguori
C
, et al.
Ticagrelor with or without aspirin in high-risk patients after PCI
.
N Engl J Med
2019
;
381
:
2032
2042
. https://doi.org/10.1056/NEJMoa1908419

43

Watanabe
H
,
Domei
T
,
Morimoto
T
,
Natsuaki
M
,
Shiomi
H
,
Toyota
T
, et al.
Effect of 1-month dual antiplatelet therapy followed by clopidogrel vs 12-month dual antiplatelet therapy on cardiovascular and bleeding events in patients receiving PCI: the STOPDAPT-2 randomized clinical trial
.
JAMA
2019
;
321
:
2414
2427
. https://doi.org/10.1001/jama.2019.8145

44

Hahn
JY
,
Song
YB
,
Oh
JH
,
Chun
WJ
,
Park
YH
,
Jang
WJ
, et al.
Effect of P2Y12 inhibitor monotherapy vs dual antiplatelet therapy on cardiovascular events in patients undergoing percutaneous coronary intervention: the SMART-CHOICE randomized clinical trial
.
JAMA
2019
;
321
:
2428
2437
. https://doi.org/10.1001/jama.2019.8146

45

Kim
BK
,
Hong
SJ
,
Cho
YH
,
Yun
KH
,
Kim
YH
,
Suh
Y
, et al.
Effect of ticagrelor monotherapy vs ticagrelor with aspirin on Major bleeding and cardiovascular events in patients with acute coronary syndrome: the TICO randomized clinical trial
.
JAMA
2020
;
323
:
2407
2416
. https://doi.org/10.1001/jama.2020.7580

46

Watanabe
H
,
Morimoto
T
,
Natsuaki
M
,
Yamamoto
K
,
Obayashi
Y
,
Ogita
M
, et al.
Comparison of clopidogrel monotherapy after 1 to 2 months of dual antiplatelet therapy with 12 months of dual antiplatelet therapy in patients with acute coronary syndrome: the STOPDAPT-2 ACS randomized clinical trial
.
JAMA Cardiol
2022
;
7
:
407
417
. https://doi.org/10.1001/jamacardio.2021.5244

47

Valgimigli
M
,
Cao
D
,
Angiolillo
DJ
,
Bangalore
S
,
Bhatt
DL
,
Ge
J
, et al.
Duration of dual antiplatelet therapy for patients at high bleeding risk undergoing PCI
.
J Am Coll Cardiol
2021
;
78
:
2060
2072
. https://doi.org/10.1016/j.jacc.2021.08.074

48

Han
JK
,
Hwang
D
,
Yang
S
,
Park
SH
,
Kang
J
,
Yang
HM
, et al.
Comparison of 3–6 month versus 12 month dual antiplatelet therapy after coronary intervention using the contemporary drug-eluting stents with ultrathin struts: the HOST-IDEA randomized clinical trial
.
Circulation
2023
. https://doi.org/10.1161/circulationaha.123.064264

49

Mauri
L
,
Kereiakes
DJ
,
Yeh
RW
,
Driscoll-Shempp
P
,
Cutlip
DE
,
Steg
PG
, et al.
Twelve or 30 months of dual antiplatelet therapy after drug-eluting stents
.
N Engl J Med
2014
;
371
:
2155
2166
. https://doi.org/10.1056/NEJMoa1409312

50

Bonaca
MP
,
Bhatt
DL
,
Cohen
M
,
Steg
PG
,
Storey
RF
,
Jensen
EC
, et al.
Long-term use of ticagrelor in patients with prior myocardial infarction
.
N Engl J Med
2015
;
372
:
1791
1800
. https://doi.org/10.1056/NEJMoa1500857

51

Steg
PG
,
Bhatt
DL
,
Simon
T
,
Fox
K
,
Mehta
SR
,
Harrington
RA
, et al.
Ticagrelor in patients with stable coronary disease and diabetes
.
N Engl J Med
2019
;
381
:
1309
1320
. https://doi.org/10.1056/NEJMoa1908077

52

Angiolillo
DJ
,
Rollini
F
,
Storey
RF
,
Bhatt
DL
,
James
S
,
Schneider
DJ
, et al.
International expert consensus on switching platelet P2Y(12) receptor-inhibiting therapies
.
Circulation
2017
;
136
:
1955
1975
. https://doi.org/10.1161/circulationaha.117.031164

53

Wiviott
SD
,
Braunwald
E
,
McCabe
CH
,
Montalescot
G
,
Ruzyllo
W
,
Gottlieb
S
, et al.
Prasugrel versus clopidogrel in patients with acute coronary syndromes
.
N Engl J Med
2007
;
357
:
2001
2015
. https://doi.org/10.1056/NEJMoa0706482

54

Wallentin
L
,
Becker
RC
,
Budaj
A
,
Cannon
CP
,
Emanuelsson
H
,
Held
C
, et al.
Ticagrelor versus clopidogrel in patients with acute coronary syndromes
.
N Engl J Med
2009
;
361
:
1045
1057
. https://doi.org/10.1056/NEJMoa0904327

55

Kandzari
DE
,
Kirtane
AJ
,
Windecker
S
,
Latib
A
,
Kedhi
E
,
Mehran
R
, et al.
One-month dual antiplatelet therapy following percutaneous coronary intervention with zotarolimus-eluting stents in high-bleeding-risk patients
.
Circ Cardiovasc Interv
2020
;
13
:
e009565
. https://doi.org/10.1161/circinterventions.120.009565

56

Kirtane
AJ
,
Stoler
R
,
Feldman
R
,
Neumann
FJ
,
Boutis
L
,
Tahirkheli
N
, et al.
Primary results of the EVOLVE short DAPT study: evaluation of 3-month dual antiplatelet therapy in high bleeding risk patients treated with a bioabsorbable polymer-coated everolimus-eluting stent
.
Circ Cardiovasc Interv
2021
;
14
:
e010144
. https://doi.org/10.1161/circinterventions.120.010144

57

Capodanno
D
.
Evolving landscapes in coronary stents for patients at high bleeding risk
.
Circ Cardiovasc Interv
2021
;
14
:
e010591
. https://doi.org/10.1161/circinterventions.121.010591

58

Lee
YJ
,
Cho
JY
,
Yun
KH
,
Lee
SJ
,
Hong
SJ
,
Ahn
CM
, et al.
Impact of one-month DAPT followed by aspirin monotherapy in patients undergoing percutaneous coronary intervention according to clinical presentation: a post hoc analysis of the randomised one-month DAPT trial
.
EuroIntervention
2022
;
18
:
471
481
. https://doi.org/10.4244/eij-d-22-00135

59

Tomaniak
M
,
Chichareon
P
,
Onuma
Y
,
Deliargyris
EN
,
Takahashi
K
,
Kogame
N
, et al.
Benefit and risks of aspirin in addition to ticagrelor in acute coronary syndromes: a post hoc analysis of the randomized GLOBAL LEADERS trial
.
JAMA Cardiol
2019
;
4
:
1092
1101
. https://doi.org/10.1001/jamacardio.2019.3355

60

Baber
U
,
Dangas
G
,
Angiolillo
DJ
,
Cohen
DJ
,
Sharma
SK
,
Nicolas
J
, et al.
Ticagrelor alone vs. ticagrelor plus aspirin following percutaneous coronary intervention in patients with non-ST-segment elevation acute coronary syndromes: TWILIGHT-ACS
.
Eur Heart J
2020
;
41
:
3533
3545
. https://doi.org/10.1093/eurheartj/ehaa670

61

Valgimigli
M
,
Frigoli
E
,
Heg
D
,
Tijssen
J
,
Jüni
P
,
Vranckx
P
, et al.
Dual antiplatelet therapy after PCI in patients at high bleeding risk
.
N Engl J Med
2021
;
385
:
1643
1655
. https://doi.org/10.1056/NEJMoa2108749

62

Mehilli
J
,
Baquet
M
,
Hochholzer
W
,
Mayer
K
,
Tesche
C
,
Aradi
D
, et al.
Randomized comparison of intensified and standard P2Y(12)-receptor-inhibition before elective percutaneous coronary intervention: the SASSICAIA trial
.
Circ Cardiovasc Interv
2020
;
13
:
e008649
. https://doi.org/10.1161/circinterventions.119.008649

63

Silvain
J
,
Lattuca
B
,
Beygui
F
,
Rangé
G
,
Motovska
Z
,
Dillinger
JG
, et al.
Ticagrelor versus clopidogrel in elective percutaneous coronary intervention (ALPHEUS): a randomised, open-label, phase 3b trial
.
Lancet
2020
;
396
:
1737
1744
. https://doi.org/10.1016/s0140-6736(20)32236-4

64

Mehta
SR
,
Bassand
JP
,
Chrolavicius
S
,
Diaz
R
,
Eikelboom
JW
,
Fox
KA
, et al.
Dose comparisons of clopidogrel and aspirin in acute coronary syndromes
.
N Engl J Med
2010
;
363
:
930
942
. https://doi.org/10.1056/NEJMoa0909475

65

Jones
WS
,
Mulder
H
,
Wruck
LM
,
Pencina
MJ
,
Kripalani
S
,
Muñoz
D
, et al.
Comparative effectiveness of aspirin dosing in cardiovascular disease
.
N Engl J Med
2021
;
384
:
1981
1990
. https://doi.org/10.1056/NEJMoa2102137

66

Bhatt
DL
,
Steg
PG
,
Mehta
SR
,
Leiter
LA
,
Simon
T
,
Fox
K
, et al.
Ticagrelor in patients with diabetes and stable coronary artery disease with a history of previous percutaneous coronary intervention (THEMIS-PCI): a phase 3, placebo-controlled, randomised trial
.
Lancet
2019
;
394
:
1169
1180
. https://doi.org/10.1016/s0140-6736(19)31887-2

67

Angiolillo
DJ
.
Variability in responsiveness to oral antiplatelet therapy
.
Am J Cardiol
2009
;
103
:
27a
34a
. https://doi.org/10.1016/j.amjcard.2008.11.020

68

Sibbing
D
,
Aradi
D
,
Alexopoulos
D
,
Ten Berg
J
,
Bhatt
DL
,
Bonello
L
, et al.
Updated expert consensus statement on platelet function and genetic testing for guiding P2Y(12) receptor inhibitor treatment in percutaneous coronary intervention
.
JACC Cardiovasc Interv
2019
;
12
:
1521
1537
. https://doi.org/10.1016/j.jcin.2019.03.034

69

Pereira
NL
,
Rihal
CS
,
So
DYF
,
Rosenberg
Y
,
Lennon
RJ
,
Mathew
V
, et al.
Clopidogrel pharmacogenetics
.
Circ Cardiovasc Interv
2019
;
12
:
e007811
. https://doi.org/10.1161/circinterventions.119.007811

70

Mega
JL
,
Close
SL
,
Wiviott
SD
,
Shen
L
,
Hockett
RD
,
Brandt
JT
, et al.
Cytochrome p-450 polymorphisms and response to clopidogrel
.
N Engl J Med
2009
;
360
:
354
362
. https://doi.org/10.1056/NEJMoa0809171

71

Mega
JL
,
Simon
T
,
Collet
JP
,
Anderson
JL
,
Antman
EM
,
Bliden
K
, et al.
Reduced-function CYP2C19 genotype and risk of adverse clinical outcomes among patients treated with clopidogrel predominantly for PCI: a meta-analysis
.
JAMA
2010
;
304
:
1821
1830
. https://doi.org/10.1001/jama.2010.1543

72

Scott
SA
,
Sangkuhl
K
,
Gardner
EE
,
Stein
CM
,
Hulot
JS
,
Johnson
JA
, et al.
Clinical pharmacogenetics implementation consortium guidelines for cytochrome P450–2C19 (CYP2C19) genotype and clopidogrel therapy
.
Clin Pharmacol Ther
2011
;
90
:
328
332
. https://doi.org/10.1038/clpt.2011.132

73

Kim
HK
,
Tantry
US
,
Smith
SC
Jr.
,
Jeong
MH
,
Park
SJ
,
Kim
MH
, et al.
The East Asian paradox: an updated position statement on the challenges to the current antithrombotic strategy in patients with cardiovascular disease
.
Thromb Haemost
2021
;
121
:
422
432
. https://doi.org/10.1055/s-0040-1718729

74

Collet
JP
,
Cuisset
T
,
Rangé
G
,
Cayla
G
,
Elhadad
S
,
Pouillot
C
, et al.
Bedside monitoring to adjust antiplatelet therapy for coronary stenting
.
N Engl J Med
2012
;
367
:
2100
2109
. https://doi.org/10.1056/NEJMoa1209979

75

Cayla
G
,
Cuisset
T
,
Silvain
J
,
Leclercq
F
,
Manzo-Silberman
S
,
Saint-Etienne
C
, et al.
Platelet function monitoring to adjust antiplatelet therapy in elderly patients stented for an acute coronary syndrome (ANTARCTIC): an open-label, blinded-endpoint, randomised controlled superiority trial
.
Lancet
2016
;
388
:
2015
2022
. https://doi.org/10.1016/s0140-6736(16)31323-x

76

Sibbing
D
,
Aradi
D
,
Jacobshagen
C
,
Gross
L
,
Trenk
D
,
Geisler
T
, et al.
Guided de-escalation of antiplatelet treatment in patients with acute coronary syndrome undergoing percutaneous coronary intervention (TROPICAL-ACS): a randomised, open-label, multicentre trial
.
Lancet
2017
;
390
:
1747
1757
. https://doi.org/10.1016/s0140-6736(17)32155-4

77

Zheng
YY
,
Wu
TT
,
Yang
Y
,
Hou
XG
,
Gao
Y
,
Chen
Y
, et al.
Personalized antiplatelet therapy guided by a novel detection of platelet aggregation function in stable coronary artery disease patients undergoing percutaneous coronary intervention: a randomized controlled clinical trial
.
Eur Heart J Cardiovasc Pharmacother
2020
;
6
:
211
221
. https://doi.org/10.1093/ehjcvp/pvz059

78

Notarangelo
FM
,
Maglietta
G
,
Bevilacqua
P
,
Cereda
M
,
Merlini
PA
,
Villani
GQ
, et al.
Pharmacogenomic approach to selecting antiplatelet therapy in patients with acute coronary syndromes: the PHARMCLO trial
.
J Am Coll Cardiol
2018
;
71
:
1869
1877
. https://doi.org/10.1016/j.jacc.2018.02.029

79

Claassens
DMF
,
Vos
GJA
,
Bergmeijer
TO
,
Hermanides
RS
,
van ‘t Hof
AWJ
,
van der Harst
P
, et al.
A genotype-guided strategy for oral P2Y(12) inhibitors in primary PCI
.
N Engl J Med
2019
;
381
:
1621
1631
. https://doi.org/10.1056/NEJMoa1907096

80

Tuteja
S
,
Glick
H
,
Matthai
W
,
Nachamkin
I
,
Nathan
A
,
Monono
K
, et al.
Prospective CYP2C19 genotyping to guide antiplatelet therapy following percutaneous coronary intervention: a pragmatic randomized clinical trial
.
Circ Genom Precis Med
2020
;
13
:
e002640
. https://doi.org/10.1161/circgen.119.002640

81

Pereira
NL
,
Farkouh
ME
,
So
D
,
Lennon
R
,
Geller
N
,
Mathew
V
, et al.
Effect of genotype-guided oral P2Y12 inhibitor selection vs conventional clopidogrel therapy on ischemic outcomes after percutaneous coronary intervention: the TAILOR-PCI randomized clinical trial
.
JAMA
2020
;
324
:
761
771
. https://doi.org/10.1001/jama.2020.12443

82

Al-Rubaish
AM
,
Al-Muhanna
FA
,
Alshehri
AM
,
Al-Mansori
MA
,
Alali
RA
,
Khalil
RM
, et al.
Bedside testing of CYP2C19 vs. conventional clopidogrel treatment to guide antiplatelet therapy in ST-segment elevation myocardial infarction patients
.
Int J Cardiol
2021
;
343
:
15
20
. https://doi.org/10.1016/j.ijcard.2021.08.051

83

Galli
M
,
Benenati
S
,
Capodanno
D
,
Franchi
F
,
Rollini
F
,
D'Amario
D
, et al.
Guided versus standard antiplatelet therapy in patients undergoing percutaneous coronary intervention: a systematic review and meta-analysis
.
Lancet
2021
;
397
:
1470
1483
. https://doi.org/10.1016/s0140-6736(21)00533-x

84

Galli
M
,
Benenati
S
,
Franchi
F
,
Rollini
F
,
Capodanno
D
,
Biondi-Zoccai
G
, et al.
Comparative effects of guided vs. potent P2Y12 inhibitor therapy in acute coronary syndrome: a network meta-analysis of 61 898 patients from 15 randomized trials
.
Eur Heart J
2022
;
43
:
959
967
. https://doi.org/10.1093/eurheartj/ehab836

85

Trenk
D
,
Stone
GW
,
Gawaz
M
,
Kastrati
A
,
Angiolillo
DJ
,
Müller
U
, et al.
A randomized trial of prasugrel versus clopidogrel in patients with high platelet reactivity on clopidogrel after elective percutaneous coronary intervention with implantation of drug-eluting stents: results of the TRIGGER-PCI (testing platelet reactivity in patients undergoing elective stent placement on clopidogrel to guide alternative therapy with prasugrel) study
.
J Am Coll Cardiol
2012
;
59
:
2159
2164
. https://doi.org/10.1016/j.jacc.2012.02.026

86

Price
MJ
,
Berger
PB
,
Teirstein
PS
,
Tanguay
JF
,
Angiolillo
DJ
,
Spriggs
D
, et al.
Standard- vs high-dose clopidogrel based on platelet function testing after percutaneous coronary intervention: the GRAVITAS randomized trial
.
JAMA
2011
;
305
:
1097
1105
. https://doi.org/10.1001/jama.2011.290

87

Franchi
F
,
Rollini
F
,
Rivas
J
,
Rivas
A
,
Agarwal
M
,
Briceno
M
, et al.
Prasugrel versus ticagrelor in patients with CYP2C19 loss-of-function genotypes: results of a randomized pharmacodynamic study in a feasibility investigation of rapid genetic testing
.
JACC Basic Transl Sci
2020
;
5
:
419
428
. https://doi.org/10.1016/j.jacbts.2020.02.009

88

Cavallari
LH
,
Franchi
F
,
Rollini
F
,
Been
L
,
Rivas
A
,
Agarwal
M
, et al.
Clinical implementation of rapid CYP2C19 genotyping to guide antiplatelet therapy after percutaneous coronary intervention
.
J Transl Med
2018
;
16
:
92
. https://doi.org/10.1186/s12967-018-1469-8

89

Ingraham
B
,
Farkoud M
RL
.
Genetic-guided oral P2Y12 inhibitor selection and cumulative ischemic events after percutaneous coronary intervention
.
JACC Cardiovasc Interv
2023
;
16
:
816
825
. https://doi.org/10.1016/j.jcin.2023.01.356

90

Angiolillo
DJ
.
Dual antiplatelet therapy guided by platelet function testing
.
Lancet
2017
;
390
:
1718
1720
. https://doi.org/10.1016/s0140-6736(17)32279-1

91

Galli
M
,
Franchi
F
,
Rollini
F
,
Cavallari
LH
,
Capodanno
D
,
Crea
F
, et al.
Genetic testing in patients undergoing percutaneous coronary intervention: rationale, evidence and practical recommendations
.
Expert Rev Clin Pharmacol
2021
;
14
:
963
978
. https://doi.org/10.1080/17512433.2021.1927709

92

Angiolillo
DJ
,
Capodanno
D
,
Danchin
N
,
Simon
T
,
Bergmeijer
TO
,
Ten Berg
JM
, et al.
Derivation, validation, and prognostic utility of a prediction rule for nonresponse to clopidogrel: the ABCD-GENE score
.
JACC Cardiovasc Interv
2020
;
13
:
606
617
. https://doi.org/10.1016/j.jcin.2020.01.226

93

Thomas
CD
,
Franchi
F
,
Keeley
EC
,
Rossi
JS
,
Winget
M
,
David Anderson
R
, et al.
Impact of the ABCD-GENE score on clopidogrel clinical effectiveness after PCI: a multi-site, real-world investigation
.
Clin Pharmacol Ther
2022
;
112
:
146
155
. https://doi.org/10.1002/cpt.2612

94

Capodanno
D
,
Angiolillo
DJ
,
Lennon
RJ
,
Goodman
SG
,
Kim
SW
,
O'Cochlain
F
, et al.
ABCD-GENE score and clinical outcomes following percutaneous coronary intervention: insights from the TAILOR-PCI trial
.
J Am Heart Assoc
2022
;
11
:
e024156
. https://doi.org/10.1161/jaha.121.024156

95

Angiolillo
DJ
,
Prats
J
,
Deliargyris
EN
,
Schneider
DJ
,
Scheiman
J
,
Kimmelstiel
C
, et al.
Pharmacokinetic and pharmacodynamic profile of a novel phospholipid aspirin formulation
.
Clin Pharmacokinet
2022
;
61
:
465
479
. https://doi.org/10.1007/s40262-021-01090-2

96

Jourdi
G
,
Lordkipanidzé
M
,
Philippe
A
,
Bachelot-Loza
C
,
Gaussem
P
.
Current and novel antiplatelet therapies for the treatment of cardiovascular diseases
.
Int J Mol Sci
2021
;
22
:13079. https://doi.org/10.3390/ijms222313079

97

Neumann
FJ
,
Sousa-Uva
M
,
Ahlsson
A
,
Alfonso
F
,
Banning
AP
,
Benedetto
U
, et al.
2018 ESC/EACTS guidelines on myocardial revascularization
.
EuroIntervention
2019
;
14
:
1435
1534
. https://doi.org/10.4244/eijy19m01_01

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