New Model to Predict Sudden Cardiac Death

                Researchers have developed a sudden cardiac death (SCD) predictive model that can help identify and prevent the disease in individuals at high risk. Researchers developed first predictive tool to assess the future risk of SCD among the general population. The team analyzed data from 18,000 adults without a prior history of cardiovascular disease. Findings suggest that information on age, sex and race along with traditional cardiovascular risk factors such as smoking, high blood pressure, diabetes and high cholesterol as well as specific SCD-related predictors and biomarkers can be leveraged to predict the risk of SCD. Not expectedly, researchers found that traditional risk factors associated with cardiovascular disease (smoking, diabetes, and hypertension) predicted sudden cardiac death.