Conference Coverage

Metabolic syndrome scoring system predicts CVD in type 2 diabetes

 

Key clinical point: Increasing metabolic syndrome severity was associated with increased risk for cardiovascular disease.

Major finding: Risk for future cardiovascular disease was upped with higher scores, even when glucose wasn’t considered (P = .001).

Study details: A retrospective analysis of Atherosclerosis Risk in Communities study data on 1,419 patients with and 7,241 patients without diabetes.

Disclosures: The National Institutes of Health sponsored the study. Dr. DeBoer reported no relevant conflicts of interest.

Source: DeBoer MD et al. ENDO 2018, Abstract SAT-015.


 

REPORTING FROM ENDO 2018

A scoring system that addresses severity of metabolic syndrome successfully predicted risk for future coronary heart disease in individuals with type 2 diabetes; the system identified the association independent of hemoglobin A1c levels, according to work presented at the annual meeting of the Endocrine Society.

The findings may point toward an additional surveillance tool for coronary heart disease (CHD) in patients who have type 2 diabetes, according to Mark D. DeBoer, MD, and his coauthors, who had not previously applied the metabolic syndrome severity scoring system to individuals with diabetes.

Dr. Mark D. DeBoer of the department of pediatrics and the Child Health Research Center at the University of Virginia, Charlottesville Bruce Jancin/MDedge News

Dr. Mark D. DeBoer

When broken down by quartile, increasing severity of metabolic syndrome for individuals with type 2 diabetes was associated with an increased risk of future cardiovascular disease, even when blood glucose levels were not included in calculation of metabolic syndrome (P less than .001 with glucose levels and P = .001 without glucose levels).

Dr. DeBoer, of the department of pediatrics and the Child Health Research Center at the University of Virginia, Charlottesville, and his coinvestigators, had previously developed the continuous scoring system for metabolic syndrome. The system incorporates the components that form the diagnostic criteria for metabolic syndrome – waist circumference, systolic blood pressure, and levels of HDL cholesterol, triglycerides, and blood glucose.

However, rather than using cutoffs for a dichotomous score of 0 or 1 for each criterion, the investigators developed sex- and race/ethnicity-specific scores of severity. This approach may identify metabolic dysregulation that would not be apparent if measures of several different criteria were just short of missing the cutoff, for example.

“These scores are standardized like z scores such that 2.0 is two standard deviations above the mean,” wrote Dr. DeBoer and his colleagues. Thus, the scores are dubbed “MetS z scores;” a free online calculator is available.

In developing the model, the investigators performed single-factor confirmatory factor analyses using data from 6,870 adults from the National Health and Nutrition Examination Survey cohort, developing scores specific for non-Hispanic whites, non-Hispanic blacks, and Hispanics.

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