Angelo Scuteri1, Oscar H Franco2, AlGhatrif Majiid3, Badariene Jolita4, Boytsov Sergey5, Hao-Min Cheng6, Chen-Huan Chen6, Seong-Woo Choi7, Cucca Francesco8, Marc L De Buyzere9, Delitala Alessandro8, Dörr Marcus10, Engstrom Gunnar11, Hofman Albert2, Jeong Seul-Ki12, Sun-Seog Kweon13, Langlois Michel14, Young-Hoon Lee15, Francesco Mattace Raso2, Melander Olle11, Cristopher H Morrell16, Kyeong-Soo Park17, Ernst R Rietzschel9, Ryliskiene Kristina4, Ligita Ryliskyte4, Schminke Ulf10, Schlessinger David18, Min-Ho Shin13, Strazhesko Irina5, Sung Shih-Hsien6, Tkacheva Olga5, Henry Völzke10, Edward G Lakatta3, Peter Nilsson11. 1. Department of Medicine, UOC Hypertension and Nephrology, Policlinico Tor Vergata, Rome, Italy. Electronic address: angeloelefante@interfree.it. 2. Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands. 3. Laboratory Cardiovascular Sciences, National Institute on Aging (NIA), NIH, Baltimore, USA. 4. Centre of Cardiology and Angiology, Vilnius University Hospital Santariškių Klinikos, Vilnius, Lithuania. 5. Department of Aging and Age-associated Diseases Prevention, National Research Center for Preventive Medicine, Moscow, Russian Federation. 6. Department of Public Health - and Cardiovascular Research Center, National Yang-Ming University, Taipei, Taiwan. 7. Department of Preventive Medicine, Chosun University Medical School, Gwangju, Republic of Korea. 8. Institute of Genetics and Biomedic Research (IRGB), Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy. 9. Bimetra, Clinical Research Center Ghent, Ghent University Hospital, Ghent, Belgium. 10. DZHK (German Center for Cardiovascular Research), partner site Greifswald, Germany; Department of Internal Medicine B, University Medicine Greifswald, Germany. 11. Department of Clinical Sciences, Lund University, University Hospital, Malmö, Sweden. 12. Department of Neurology & Research Institute of Clinical Medicine, Chobuk National University-Biomedical Institute of Chonbuk National University Hospital, Jeonju, Republic of Korea. 13. Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea. 14. Clinical Chemistry, AZ Saint-Jan Bruges Hospital, Asklepios Core Lab, And Department of Cardiovascular Diseases, Ghent University, Ghent, Belgium. 15. Department of Preventive Medicine & Institute of Wonkwang Medical Science, Wonkwang University College of Medicine, Iksan, Republic of Korea. 16. Laboratory Cardiovascular Sciences, National Institute on Aging (NIA), NIH, Baltimore, USA; Loyola College, Baltimore, USA. 17. Department of Preventive Medicine, Seonam University College of Medicine, Namwon, Republic of Korea. 18. Laboratory of Genetics, National Institute on Aging (NIA), NIH, Baltimore, USA.
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. Copyright Â
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. Copyright Â
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