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Researchers develop model to predict sudden cardiac death

Washington: Researchers from Emory’s Rollins School of Public Health have developed a sudden cardiac death (SCD) predictive model that can help identify and prevent the disease in individuals at high risk.

With SCD affecting nearly 300,000 to 400,000 Americans annually, lead researcher Dr Alvaro Alonso, associate professor in the department of epidemiology at Rollins School of Public Health and his team developed the first predictive tool to assess the future risk of SCD among the general population. The team analysed 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 unexpectedly, we found that traditional risk factors associated with cardiovascular disease (smoking, diabetes, hypertension) predicted sudden cardiac death,” explains Dr Alonso. “However, we also found other predictors specific to sudden cardiac death, such as measures derived from the electrocardiogram and some blood biomarkers. African Americans had higher risk of sudden cardiac death than white individuals.”

The complete study is published in Circulation.

Researchers note that future studies are needed to evaluate the efficacy and cost effectiveness of using the predictive tool in clinical settings.

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