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Prediction of high risk of non-adherence to antiplatelet treatment
Aldona Kubica, Karolina Obońska, Michał Kasprzak
1Department of Principles of Clinical Medicine, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland. gosiawikta@o2.pl.
Insights
Identifying patients at high risk of clopidogrel non-adherence after myocardial infarction (MI) is crucial. A new objective method using adenosine diphosphate-induced platelet aggregation (ADP-PA) can help predict non-adherence, improving secondary prevention strategies.
Area of Science:
- Cardiology
- Pharmacology
- Clinical Medicine
Background:
- Dual antiplatelet therapy (DAPT) with aspirin (ASA) and clopidogrel is standard for secondary prevention post-myocardial infarction (MI).
- Premature clopidogrel discontinuation increases risks of MI, death, and healthcare costs.
Purpose of the Study:
- To develop an objective method for identifying patients at high risk of clopidogrel non-adherence after MI.
- To assess the utility of adenosine diphosphate-induced platelet aggregation (ADP-PA) in predicting medication adherence.
Main Methods:
- Prospective, observational study of 189 patients receiving DAPT (clopidogrel + ASA) post-MI.
- Adenosine diphosphate-induced platelet aggregation (ADP-PA) measured at baseline and 3, 6, and 9 months post-discharge.
- Medication adherence defined by drug availability (>80% proportion).
Main Results:
- An optimal ADP-PA cut-off of 4 U was identified to predict non-adherence (p < 0.0001).
- The method differentiated adherence probability: 50.8% true adherence in the high-risk group vs. 32.4% in the low-risk group (p = 0.01).
- ADP-PA was higher in non-adherent patients compared to baseline measurements.
Conclusions:
- A novel, easily applicable, and cost-effective method for objectively identifying patients at high risk of clopidogrel non-adherence post-MI was developed.
- Despite moderate sensitivity and specificity, the method effectively differentiates patients regarding clinical outcomes during follow-up.
- This tool aids in optimizing secondary prevention strategies by identifying patients needing adherence support.
Background:
Dual antiplatelet therapy with acetylsalicylic acid (ASA) and clopidogrel is the standard of care for secondary prevention. Premature discontinuation of clopidogrel is associated with an increased risk of myocardial infarction (MI) or death, and greater health care expenditure.
Aim:
To develop an objective method for identification of patients with high risk of non-adherence to clopidogrel after MI.
Methods:
A total of 189 patients were enrolled into a prospective, observational, single-centre study with a nine-month follow-up. Patients received a 600-mg loading dose and 75-mg maintenance dose of clopidogrel in combination with ASA doses of 300 mg and 75 mg, respectively. Adenosine diposphate-induced platelet aggregation (ADP-PA) was assessed during baseline hospitalisation and at three, six, and nine months after discharge. Adherence to medication with clopidogrel was defined as the proportion of drug availability based on data from the National Health Fund regarding prescribed drug purchases. Adherence was arbitrarily judged adequate when the proportion exceeded 80%.
Results:
According to our hypothesis, ADP-PA in non-adherent patients should be higher at follow-up visits (at least once) as compared with measurement at hospitalisation. Based on the ROC curve analysis, the optimal cut-off point equal to 4 U was defined (p < 0.0001, 95% CI 0.562-0.654; sensitivity: 60.6%, specificity: 57.1%, positive predictive value: 63.3%, negative predictive value: 54.2%). The prevalence of true adherence to medication in groups of high and low probability of adherence defined according to developed criteria amounted 60 (50.8%) and 23 (32.4%) cases, respectively (p = 0.01).
Conclusions:
The newly developed method of objective identification of patients with high risk of non-adherence to clopidogrel after MI is easily applicable and cheap, and, despite relatively low sensitivity and specificity, it efficiently differentiates patients with regard to clinical end-points during follow-up.
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