Acute Coronary Syndromes

Acute coronary syndrome (ACS) is most commonly caused by a heart attack (myocardial infarction) where blood flow to the heart is suddenly blocked. This is usually caused by a blood clot from a ruptured coronary artery atherosclerotic plaque. Other causes include spontaneous coronary artery dissection (SCAD), which most commonly occurs in women. ACS is usually treated in a cath lab with angioplasty and the placement of a stent to prop the vessel open.

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Educational status predicts death, CV events

A study out of Emory University has revealed a link between education levels and the odds of developing or dying from CVD, with anything under a graduate degree representing a higher risk of heart disease. 

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Total heart disease deaths rise in US

Heart disease deaths are on the rise in the U.S., according to research published in the Journal of the American Medical Association Aug. 27—and they have been for almost a decade.

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Miracor Medical snags breakthrough designation for STEMI treatment

Belgium-based Miracor Medical has secured FDA breakthrough device designation for its PiCSO Impulse System, an innovation designed to treat STEMI patients.

Childhood cancer survivors face steep odds of CVD later in life

Childhood cancer survivors are up to three times more likely than their cancer-free peers to develop various types of heart disease, according to an Aug. 26 study published in Circulation.

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Owning pets—especially dogs—helps heart patients manage their risk factors

Research published in Mayo Clinic Proceedings: Innovations, Quality & Outcomes this month suggests owning a pet—in particular a dog—can be beneficial for cardiovascular health.

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Women present with typical MI symptoms more often than men

Women present with “typical” heart attack symptoms more often than men, according to research published August 20 in the Journal of the American Heart Association.

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Insomnia linked to greater odds of CVD, stroke

A genetic predisposition for insomnia was linked to greater odds of heart disease and stroke—but not atrial fibrillation—in a study of more than a million people with or without CVD.

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Machine learning predicts MI risk better than contemporary tools

A machine learning algorithm dubbed “MI3” can reportedly predict a person’s risk of heart attack with more nuance than existing algorithms, prompting its developers to claim it as “one of the first effective demonstrations” of how AI can be used to inform treatment decisions in the cardiology unit.