Incremental value of machine learning for risk prediction in tetralogy of FallotMachine learning (ML) can facilitate prediction of major adverse cardiovascular events (MACEs) in repaired tetralogy of Fallot (rTOF). We sought to determine the incremental value of ML above expert clinical judgement for risk prediction in rTOF.
Can Treating Depression Mitigate CVD Risk?Depression is linked to a significantly increased risk for cardiovascular disease (CVD), particularly in women, new data from a large retrospective cohort study show. Researchers suggest that screening and treating patients for depression may lead to a decreased incidence of CVD.
Gout Increases the Risk for a Wide Range of Cardiovascular DiseasesPeople with gout are 58% more likely to develop cardiovascular disease (CVD), according to a new analysis. This increased risk was observed across 12 different cardiovascular conditions, including heart failure, arrhythmias, and valve diseases.
Spinal Cord Injury Tied to Greater Risk for Heart DiseaseSpinal cord injury (SCI) is associated with a significantly greater risk for heart disease than the general non-SCI population, especially among those with severe disability, new observational data suggested.
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