Using Big Data Analytics to Predict Metabolic Syndrome

A new study by Aetna’s Innovation Labs and GNS Healthcare uses “big data” analytics to predict patients at risk for metabolic syndrome. Their results show that lowering waist size and blood glucose have the largest health benefits and cause the biggest reduction in medical costs. Regular doctor visits and medication adherence reduces the one-year probability of having metabolic syndrome in nearly 90% of people.

Big data analytics predict patients at risk

Coffee May Mitigate Risk Of Heart Failure

Good news for those who love their daily coffee (or two); a new meta-analysis (study of studies) published in the journal Circulation: Heart Failure suggests that moderate coffee consumption reduces the risk of heart failure [1].

Cup of coffee

Newly Identified Genes Influence Insulin and Glucose Regulation

An international research consortium has found 13 new genetic variants that influence blood glucose regulation, insulin resistance, and the function of insulin-secreting beta cells in populations of European descent. Five of the newly discovered variants increase the risk of developing type 2 diabetes, the most common form of diabetes.