This article describes a holistic guide to gauging heart attack risk factors and includes newer methods to gauge the risk of a future heart attack. The traditional approach to heart attack risk assessment has involved the evaluation of factors that are associated with increased risk of a heart event. Among these traditional risk factors are age, smoking, diabetes and cholesterol levels. Nevertheless, these risk factors are associations that have been identified based on large subject populations. In other words, their predictive value pertains to an estimate of probability within large populations of people based on variables that may or may not have predictive value for the individual. Read the full article

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