Platelet Phenomic Analysis to guide patient stratification and anti-platelet medication in acute coronary syndrome
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AI plain-English summaryDoctors prescribe the same anti-platelet drugs to all heart attack survivors, even though some patients gain little protection and others suffer dangerous bleeding. This one-size-fits-all approach persists because no routine test can tell a clinician which patient will benefit and which will be harmed. The researchers will test a new method called Platelet Phenomics Analysis (PPA), which measures how sticky a patient’s platelets are, combined with pharmacogenomics (PGx), which looks at how a patient’s genes affect drug response. In a first group of acute coronary syndrome patients, they will map PPA profiles before and after anti-platelet therapy. In a second, smaller group, they will run a pilot study to see whether PPA and PGx results can guide the decision to use dual anti-platelet therapy (DAPT) and then track how targeted therapy changes the PPA profile. If the approach works, it could replace guesswork with a blood test that identifies patients who would benefit most from aggressive anti-platelet treatment while sparing those at high risk of bleeding. That would pave the way for larger clinical trials testing personalised anti-platelet therapy for both primary and secondary prevention of thrombosis.
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