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Associate Professor Yader Sandoval

Minneapolis Heart Institute Foundation, Minneapolis (United States of America)
Membership: FESC Member
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Biography
Dr. Sandoval is an interventional cardiologist with the Minneapolis Heart Institute based at Abbott Northwestern Hospital in Minneapolis, Minnesota, USA. Alongside his role as an investigator at the Center for Coronary Artery Disease (CCAD) at the Minneapolis Heart Institute Foundation (MHIF), he also holds the position of Adjunct Associate Professor of Medicine at the Mayo Clinic College of Medicine and Science. He has expertise in acute and chronic coronary syndromes, coronary artery disease, coronary physiology, intracoronary imaging, coronary revascularization, and cardiac biomarkers. He has authored over 190 peer-reviewed manuscripts. Dr. Sandoval serves as an Associate Editor for JACC: Advances. He is a member of the American College of Cardiology (ACC) Interventional Section Leadership Council and the International Federation of Clinical Chemistry (IFCC) Committee on Clinical Applications of Cardiac Bio-Markers (C-CB).
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Contributor content

Long-term mortality and mode of death among patients with type 1 and 2 myocardial infarction.
Presentation
Long-term mortality and mode of death among patients with type 1 and 2 myocardial infarction.
Transition from 4th to 5th generation cardiac troponin T: testing patterns, myocardial infarction incident rates, and resource utilization across a multicenter United States regional healthcare system
Presentation
Transition from 4th to 5th generation cardiac troponin T: testing patterns, myocardial infarction incident rates, and resource utilization across a multicenter United States regional healthcare system
Incidence and prognostic impact of acute infection among patients with type 1 and 2 myocardial infarction.
Presentation
Incidence and prognostic impact of acute infection among patients with type 1 and 2 myocardial infarction.
Machine-learning algorithm utilizing serial high-sensitivity cardiac troponin I concentrations for ruling-out acute myocardial infarction
Presentation
Machine-learning algorithm utilizing serial high-sensitivity cardiac troponin I concentrations for ruling-out acute myocardial infarction
Towards the use of objective diagnostic criteria for diagnosing type 2 myocardial infarction
Presentation
Towards the use of objective diagnostic criteria for diagnosing type 2 myocardial infarction

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