The AHA’s PREVENT equations, compared with pooled cohort equations, can better predict 10-year ASCVD risk among US adults.

The prevalence of gene variants linked to cardiomyopathy is markedly higher in patients with AF, and particularly those with ...

We compared the GWTG‐HF risk score with the AHEAD score for prognostic prediction. Figure 1 Patient flowchart of this study ... and we defined HFpEF as heart failure with LVEF of 50% or higher. The ...

Risk of heart failure (HF) has been shown to increase as body mass index (BMI) increases; however, BMI has limitations as an obesity measure. Over median follow-up of 13 years, waist-to-height ratio ...

Personalized medicine tailors treatment to individuals Machine learning algorithms analyzing thousands of variables from electronic health records can now predict heart failure risk and treatment ...

This study aims to develop a model based on a machine learning algorithm that can predict ... Figure 1. Flow chart of the study. AMI, acute myocardial infarction; CA. G, coronary angiography; DCA, ...

Get Instant Summarized Text (Gist) Analysis of genetic data from large cohorts identified 176 new common genetic variants associated with heart failure risk, including variants in genes related to ...

The statement reviews the current evidence for predicting heart failure risk and offers strategies for heart failure prevention, according to a recent MedCentral article. An estimated 6.7 million ...

About 6.7 million adults in the U.S. are living with heart failure, and that number is expected to increase to more than 8 million by 2030. A new analysis published in Circulation: Heart Failure ...

But when she finally got checked out, a doctor diagnosed Ms. Ramirez with heart failure. Her condition eventually became so severe that she needed a heart transplant. Heart failure is a condition ...

in predicting the risk of sudden cardiac death. A team of physicists at Tampere University has developed a groundbreaking method for detecting congestive heart failure with greater ease and ...

A team of Yale researchers at the Cardiovascular Data Science Lab at the School of Medicine recently published a study showcasing a new artificial intelligence tool for predicting the risk of heart ...