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Randomized Controlled Trial
. 2018 Nov;41(11):2421-2430.
doi: 10.2337/dc18-1079. Epub 2018 Oct 1.

Use of a Metabolic Syndrome Severity Z Score to Track Risk During Treatment of Prediabetes: An Analysis of the Diabetes Prevention Program

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Randomized Controlled Trial

Use of a Metabolic Syndrome Severity Z Score to Track Risk During Treatment of Prediabetes: An Analysis of the Diabetes Prevention Program

Mark D DeBoer et al. Diabetes Care. 2018 Nov.

Abstract

Objective: We assessed whether changes in metabolic syndrome (MetS) severity during the treatment of prediabetes are associated with reduced risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD).

Research design and methods: We analyzed data from the Diabetes Prevention Program (DPP) for 2,476 adults in 1996-1999 with prediabetes randomized to receive treatment with lifestyle modification, metformin, or placebo for 2-3 years and followed through 2014 for T2DM and CVD outcomes. We calculated effect sizes from baseline in a MetS severity z score (MetS-Z) and the individual MetS components, and assessed relationships between 1-year effect size and incident T2DM and CVD using hazard ratios (HRs) and mediation analysis.

Results: Baseline MetS-Z and its components were associated with risk of incident T2DM and CVD. During year 1 of intervention, MetS-Z and its components decreased most with lifestyle modification, followed by treatment with metformin and placebo. Risk of T2DM within 1-5 years was most strongly associated with 1-year changes in MetS-Z and waist circumference (both HRs for a 1 SD increase = 1.80), whereas the risk of CVD was associated with a 1-year change in MetS-Z, glucose, and systolic blood pressure. In mediation analyses, the effect of lifestyle modification on T2DM risk was mediated by 1-year changes in MetS-Z, waist circumference, glucose, and triglycerides, whereas the effect of metformin was mediated by MetS-Z and glucose.

Conclusions: Changes in these risk indicators of MetS severity during intervention in the DPP reflect altered disease risk and may help in tracking earlier responses to treatment and in motivating patients.

Trial registration: ClinicalTrials.gov NCT00004992 NCT00038727.

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Figures

Figure 1
Figure 1
Changes in MetS-Z and the individual MetS components over 3 years of intervention. Mean effect sizes (i.e., the change from baseline, divided by the SD at baseline) ±95% CIs for MetS-Z, WC, fasting glucose, triglycerides, HDL cholesterol, and SBP during intervention with lifestyle modification, and treatment with metformin and placebo. The mean absolute effects are provided in Supplementary Table 1.

References

    1. Benjamin EJ, Blaha MJ, Chiuve SE, et al. .; American Heart Association Statistics Committee and Stroke Statistics Subcommittee . Heart disease and stroke statistics—2017 update: a report from the American Heart Association [published correction appears in Circulation 2017;135:e646; 136:e196]. Circulation 2017;135:e146–e603 - PMC - PubMed
    1. Centers for Disease Control and Prevention National Diabetes Statistics Report, 2017. Atlanta, GA, Centers for Disease Control and Prevention, 2017
    1. American Diabetes Association 5. Prevention or delay of type 2 diabetes: Standards of Medical Care in Diabetes—2018. Diabetes Care 2018;41(Suppl. 1):S51–S54 - PubMed
    1. Shulman GI. Ectopic fat in insulin resistance, dyslipidemia, and cardiometabolic disease. N Engl J Med 2014;371:2237–2238 - PubMed
    1. DeBoer MD. Obesity, systemic inflammation, and increased risk for cardiovascular disease and diabetes among adolescents: a need for screening tools to target interventions. Nutrition 2013;29:379–386 - PMC - PubMed

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