The epidemiology of hypertension in India has undergone a malignant shift, moving from a disease of the elderly to a ...

Please provide your email address to receive an email when new articles are posted on . Artificial intelligence may predict 10-year heart disease risk from a single chest X-ray. For individuals with ...

Dropping the current calculator for atherosclerotic cardiovascular disease (ASCVD) risk assessment—the pooled cohort equations (PCEs)—and adopting the American Heart Association’s PREVENT calculator ...

The latest American Heart Association (AHA) calculator for assessing atherosclerotic cardiovascular disease (ASCVD) risk performs well in patients with high and low lipoprotein(a) levels, a new ...

Elizabeth Cooney is a cardiovascular disease reporter at STAT, covering heart, stroke, and metabolic conditions. You can reach Liz on Signal at LizC.22. Just over a year ago the PREVENT calculator to ...

ASCVD Risk Estimator Plus and PREVENT calculator would have classified many patients as low risk 48 hours before MI. (HealthDay News) — Population-based cardiac screening tools fail to identify many ...

A retrospective study evaluated how risk- and symptom-based screening tools would have performed if applied 2 days before a patient's first heart attack. Many at-risk patients would have been missed ...

—Recent studies suggest that a hospitalization related to cardiovascular events can follow a hospitalization for chronic obstructive pulmonary disease. But have these studies been too broad? No ...

A panel discussion titled “Elevated Lipoprotein(a): Raise Your Game and Lower Your (Risk) Score?” presented at the American Heart Association (AHA) Scientific Sessions 2023, which convened in ...

A cardiovascular risk calculator routinely used by physicians underestimates the risk for women and Black people living with HIV in high-income countries, while it overestimates risk for people living ...

Before having a heart attack, many patients were not categorized as high risk and most experienced no symptoms until right before the event, suggesting gaps in predicting who is most vulnerable, ...