Irene Lambrinoudaki1, Maria Vasiliki Kazani2, Eleni Armeni3, Georgios Georgiopoulos2, Konstantinos Tampakis2, Demetrios Rizos4, Areti Augoulea3, Georgios Kaparos4, Andreas Alexandrou5, Kimon Stamatelopoulos2. 1. 2(nd) Department of Obstetrics and Gynecology, University of Athens, Aretaieio Hospital, Athens, Greece. Electronic address: ilambrinoudaki@med.uoa.gr. 2. Department of Therapeutics, University of Athens, Alexandra Hospital, Athens, Greece. 3. 2(nd) Department of Obstetrics and Gynecology, University of Athens, Aretaieio Hospital, Athens, Greece. 4. Hormonal and Biochemical Laboratory, University of Athens, Aretaieio Hospital, Athens, Greece. 5. 1(st) Department of Surgery, National and Kapodestrian University of Athens, Medical School, Laiko General Hospital, Athens, Greece.
Abstract
BACKGROUND: The present study aims to examine the association of the metabolic syndrome (MS) as well as of the triglyceride-glucose index (TyG-Index), a novel marker of insulin resistance, with subclinical atherosclerosis in a cohort of postmenopausal women, stratified according to their body mass index. METHODS: A total of 473 informed-consenting, non-diabetic postmenopausal women, without overt cardiovascular disease, were included in this study. We aimed to compare the association between structural and functional indices of subclinical atherosclerosis (i.e. carotid artery intima-media thickness (IMT), flow-mediated dilation of the brachial artery, pulse wave velocity (PWV)) with the TyG-index or MS, separately for lean and overweight/obese women. RESULTS: The TyG-Index correlated significantly with carotid IMT (r=0.155, p=0.012) and PWV (r=0.157, p=0.013) only in the group of lean women. Multivariate analysis showed that subclinical atherosclerosis was predicted by MS, in the overweight/obese group (OR=2.517, 95% CI: 1.078-5.878, p=0.033), and by the TyG-Index the lean group (OR=3.119, 95% CI: 1.187-8.194, p<0.001). Using a TyG-Index cut-off value of 8.0 in the lean subpopulation, women above the cut-off had 44.1% prevalence of subclinical atherosclerosis compared to 29.4% in women below the cut-off (p=0.043). CONCLUSIONS: The TyG-Index is associated with carotid atherosclerosis and arterial stiffness mainly in lean postmenopausal women, while the MS serves as a better predictor of subclinical atherosclerosis in overweight/obese women. The TyG-Index may prove a useful marker for identifying high-risk women in the normal-weight postmenopausal population.
BACKGROUND: The present study aims to examine the association of the metabolic syndrome (MS) as well as of the triglyceride-glucose index (TyG-Index), a novel marker of insulin resistance, with subclinical atherosclerosis in a cohort of postmenopausal women, stratified according to their body mass index. METHODS: A total of 473 informed-consenting, non-diabetic postmenopausal women, without overt cardiovascular disease, were included in this study. We aimed to compare the association between structural and functional indices of subclinical atherosclerosis (i.e. carotid artery intima-media thickness (IMT), flow-mediated dilation of the brachial artery, pulse wave velocity (PWV)) with the TyG-index or MS, separately for lean and overweight/obesewomen. RESULTS: The TyG-Index correlated significantly with carotid IMT (r=0.155, p=0.012) and PWV (r=0.157, p=0.013) only in the group of lean women. Multivariate analysis showed that subclinical atherosclerosis was predicted by MS, in the overweight/obese group (OR=2.517, 95% CI: 1.078-5.878, p=0.033), and by the TyG-Index the lean group (OR=3.119, 95% CI: 1.187-8.194, p<0.001). Using a TyG-Index cut-off value of 8.0 in the lean subpopulation, women above the cut-off had 44.1% prevalence of subclinical atherosclerosis compared to 29.4% in women below the cut-off (p=0.043). CONCLUSIONS: The TyG-Index is associated with carotid atherosclerosis and arterial stiffness mainly in lean postmenopausal women, while the MS serves as a better predictor of subclinical atherosclerosis in overweight/obesewomen. The TyG-Index may prove a useful marker for identifying high-risk women in the normal-weight postmenopausal population.
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