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 In Endocrinology

A team led by a University of Florida (UF) Health researcher has developed a new, more accurate tool to predict the long-term health effects of metabolic syndrome, a convergence of heart-health risk factors in certain individuals that can turn into a perfect storm of health problems over time.

The tool, developed by Matthew Gurka, PhD, at the UF, and Mark DeBoer, MD, at the University of Virginia in Charlottesville, does a better job of gauging a patient’s risk of developing heart disease and type 2 diabetes than the standard Adult Treatment Panel III, or ATP-III, definition of the metabolic syndrome. The researchers reported their findings in two peer-reviewed journals in March and April.

The development of a more accurate measure of health risks is good news for the estimated one in three Americans who has metabolic syndrome, a cluster of risk factors including excess abdominal fat, high blood pressure, high blood sugar, low HDL cholesterol and high triglycerides. People who have three or more of these risk factors together face a greater-than-average increased risk of developing type 2 diabetes and heart disease.

Preliminary studies by Gurka and DeBoer suggest that patients with more severe risk factors — determined by waist circumference, blood pressure, and levels of blood sugar, triglycerides and protective HDL cholesterol — faced greater long-term health risks than those with milder risk factors.

There has been some debate in the scientific community about the utility of metabolic syndrome to predict an individual’s long-term risk of disease, particularly heart disease. The latest studies by Gurka and DeBoer use a novel score to measure the severity of metabolic syndrome.

In a research brief published in the March issue of the Journal of the American College of Cardiology, Gurka and DeBoer reported that nearly 25 per cent of patients with the highest levels of metabolic syndrome severity at their initial visit had coronary heart disease within 25 years. By comparison, only 6.5 per cent of those with the lowest levels of metabolic syndrome severity developed coronary heart disease within 25 years.

The risk of heart disease associated with metabolic syndrome severity remained elevated even after accounting for the individual risk factors that comprise the syndrome, such as obesity and high cholesterol, suggesting that metabolic syndrome severity has added predictive value. In contrast, they found no significant association between metabolic syndrome and future heart disease using the standard ATP-III definition of metabolic syndrome after accounting for its component risk factors.

In another paper published online ahead of print this week in Diabetologia, the researchers examined the ability of the new tool to predict type 2 diabetes in the same study participants. The researchers reported similar results: Metabolic syndrome severity can be a useful tool for predicting type 2 diabetes. They also found that study participants whose metabolic syndrome severity worsened between their first two visits to the clinic also predicted future type 2 diabetes.

Gurka and DeBoer have incorporated the tool into an online metabolic syndrome severity calculator (mets.health-outcomes-policy.ufl.edu) that patients and their doctors can use to gauge their risk.

They have developed and validated a similar score to use for adolescents as well. The metabolic syndrome severity calculator also may help improve health outcomes by providing patients and their caregivers a measure of their heart disease risk to track over time.

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