Smoking, high blood pressure, diabetes, high cholesterol and specific SCD-related predictors and biomarkers can be leveraged to predict the risk of SCD.
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First Model to Predict Sudden Cardiac Death"
‘In cardiac arrest, the heart abruptly stops beating. Without prompt intervention, it can result in the person's death. The main symptom is loss of consciousness and unresponsiveness.’
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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. 
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"Not unexpectedly, we found that traditional risk factors associated with cardiovascular disease (smoking, diabetes, hypertension) predicted sudden cardiac death," explains 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."
Source-Eurekalert