Background: The clinical presentation of coronary artery disease can range from asymptomatic, through stable disease in the form of chronic coronary syndrome, to acute coronary syndrome. Chronic coronary syndrome is a frequent condition, and secondary prevention of ischaemic events is essential.
Summary: Antithrombotic therapy is a key component of secondary prevention strategies, and it may vary in type and intensity depending on patient characteristics, comorbidities, and revascularisation modalities.
Using data from patients with ST-elevation myocardial infarction (STEMI), we explored how machine learning methods can be used for analysing multiplex protein data obtained from proximity extension assays. Blood samples were obtained from 48 STEMI-patients at admission and after three months. A subset of patients also had blood samples obtained at four and 12 h after admission.
View Article and Find Full Text PDFBackground: ST-elevation myocardial infarction (STEMI) involves inflammation, activation of platelets, coagulation and changes in fibrinolysis as well as remodelling of myocardial tissue after STEMI. Recently, new proximity extension assays including panels of biomarkers for cardiovascular disease have been developed. This study investigates a wide range of cardiovascular protein biomarkers in the acute phase of STEMI compared with the stable phase three months after STEMI.
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