A myocardial infarction (MI), commonly known as a ‘heart attack’ occurs when a portion of the heart is deprived of oxygen due to blockage of a coronary artery. Without oxygen, muscle cells served by the blocked artery begin to die (infarct). As a heart attack can be fatal, it is crucial to seek emergency help soon after symptoms present. The heart attack or blockage of the artery is due to the buildup of fats, cholesterol and other substances in the body and artery walls, which may also lead to a stroke (due to loss of blood flow to the brain) or fatal events.
Clinical treatment guidelines focus on several factors, including the timing of treatment during the course of clinical care, i.e. whether drugs should be administered soon after the heart attack is diagnosed (an acute phase) or at more chronic stages of disease. Treatments for a heart attack may also cause the risk of severe bleeding including risk of bleeding in the skull or other severe bleeding events.
Knowledge of whether patients with acute or chronic disease have different preferences (i.e., willingness to accept higher probability of side effects in exchange for higher efficacy) could inform decision-making by developers, regulators, payers, and clinicians at point of care; it would allow for a patient-centered assessment of which treatment options may be more suitable (i.e., have a more favorable benefit-risk profiles) in these two phases of disease.
|Therapeutic area||Myocardial infarction|
|Study led by||MSD|
|PREFER leads team||Cathy Anne Pinto|
|MPLC decision point of interest||Post-marketing
Pre-marketing: future developments
|PREFER case study acronym||MSD|
|Clinical objectives||To compare patient preferences for antithrombotic treatment attributes for patients with an acute MI and patients with chronic disease.
To assess preference heterogeneity in other relevant subgroups.
|Patients from||United Kingdom
Acute MI patients recruited by NHS clinical sites
Chronic patients recruited via patient panels
|Methods in Qualitative Study||Semi-structured interviews|
|Methods in Quantitative Study||Discrete Choice Experiment (DCE)
Best-worst Scaling case 1
|End-date qualitative data collection||June 2018|
|End-date quantitative data collection||Target: May 2020|