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J Am Heart Assoc ; 6(11)2017 Oct 27.
Article in English | MEDLINE | ID: mdl-29079562

ABSTRACT

BACKGROUND: We wanted to explore the association of metabolic syndrome (MetS) versus its individual components with 20-year all-cause mortality among patients with stable coronary artery disease. METHODS AND RESULTS: The cohort comprised 12 403 nondiabetic patients with stable coronary artery disease who were enrolled in the Bezafibrate Infarction Prevention Registry between February 1990 and October 1992 and followed up through December 2014. The study cohort was divided into 4 groups: patients without MetS or impaired fasting glucose (IFG), patients with IFG but without MetS, patients with MetS but without IFG, and patients with both MetS and IFG. Kaplan-Meier survival analysis showed that at 20 years of follow-up, the rates of all-cause mortality were the highest among patients with both MetS and IFG (66%). Patients with IFG without MetS experienced a significantly higher mortality rate compared with those with MetS without IFG (61% versus 56%; log-rank P<0.001). Multivariable Cox proportional hazard analysis showed that the final Cox model demonstrated that the additive effect of MetS (hazard ratio, 1.13; 95% confidence interval, 1.1-1.16; P=0.02) and IFG (hazard ratio, 1.54; 95% confidence interval, 1.46-1.62; P<0.001) on 20 years mortality was nonsignificant (hazard ratio, 1.01; 95% confidence interval, 0.93-1.11; P=0.69). IFG was associated with the most pronounced increase in mortality risk among the individual components (hazard ratio, 1.22; 95% confidence interval, 1.14-1.3; P<0.001). CONCLUSIONS: Our findings suggest that IFG alone is a major independent predictor of long-term mortality among patients with stable coronary artery disease versus other components of the MetS.


Subject(s)
Blood Glucose/metabolism , Coronary Artery Disease/blood , Coronary Artery Disease/mortality , Fasting/blood , Glucose Intolerance/blood , Metabolic Syndrome/blood , Metabolic Syndrome/mortality , Aged , Biomarkers/blood , Cause of Death , Chi-Square Distribution , Coronary Artery Disease/diagnosis , Female , Glucose Intolerance/diagnosis , Glucose Intolerance/mortality , Humans , Kaplan-Meier Estimate , Male , Metabolic Syndrome/diagnosis , Middle Aged , Multivariate Analysis , Prognosis , Proportional Hazards Models , Registries , Retrospective Studies , Risk Assessment , Risk Factors , Time Factors
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