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1.
Atherosclerosis ; 255: 11-16, 2016 12.
Article in English | MEDLINE | ID: mdl-27794213

ABSTRACT

BACKGROUND AND AIMS: We aimed to identify clusters of metabolic syndrome (MetS) components, risky for extremely high intima-media thickness. METHODS: We studied 41,513 volunteers (men and women) from eleven cohorts worldwide, participating in the MARE (Metabolic syndrome and Artery REsearch) Consortium. RESULTS: Specific clusters of MetS components - high triglycerides-high blood pressure-abdominal obesity (TBW), low HDL cholesterol-high blood pressure-abdominal obesity (HBW), high glucose-high blood pressure-abdominal obesity (GBW) - were accompanied by a 50-90% significantly greater likelihood of presenting extremely high intima-media thickness (via ultrasound of carotid artery, CCA IMT), after controlling for age, sex, smoking, non-HDL cholesterol, and presence of diabetes mellitus. This likelihood is comparable to the effect of being 7-8 years older or of being a cigarette smoker or of having non-HDL cholesterol 50 mg/dl higher. CONCLUSIONS: The consistent association of specific clusters of MetS components with extremely thick (older) large artery cross-culturally suggests that identification of those clusters in clinical practice will facilitate a personalized health care and a better - i.e. more healthy and cost-effective - prevention of major cardiovascular (CV) events.


Subject(s)
Carotid Artery Diseases/diagnostic imaging , Carotid Artery, Common/diagnostic imaging , Carotid Intima-Media Thickness , Metabolic Syndrome/diagnostic imaging , Vascular Remodeling , Adult , Age Factors , Aged , Aged, 80 and over , Asia/epidemiology , Biomarkers/blood , Blood Glucose/analysis , Carotid Artery Diseases/epidemiology , Carotid Artery Diseases/pathology , Carotid Artery, Common/pathology , Comorbidity , Europe/epidemiology , Female , Humans , Lipids/blood , Male , Metabolic Syndrome/blood , Metabolic Syndrome/epidemiology , Metabolic Syndrome/pathology , Middle Aged , Obesity, Abdominal/diagnosis , Obesity, Abdominal/epidemiology , Predictive Value of Tests , Prevalence , Risk Assessment , Risk Factors , Smoking/adverse effects , Smoking/epidemiology , Smoking/pathology , United States/epidemiology
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