David Navarro-González1, Laura Sánchez-Íñigo2, Juan Pastrana-Delgado3, Alejandro Fernández-Montero4, J Alfredo Martinez5. 1. Garcia-Orcoyen Hospital, Navarra Health Service - Osasunbidea, Spain. Electronic address: davidsilos@hotmail.com. 2. Clinic, Navarra Health Service - Osasunbidea, Spain. 3. Department of Internal Medicine, University of Navarra Clinic, Pamplona, Spain; IdiSNA - Health Research Institute of Navarra, Spain. 4. Department of Occupational Medicine, Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain. 5. IdiSNA - Health Research Institute of Navarra, Spain; Food Science and Physiology, University of Navarra, Pamplona, Spain; Centre of Biomedical Research in Pathophysiology of Obesity and Nutrition (CIBERObn), Carlos III Hospital, Madrid, Spain.
Abstract
AIMS: We evaluated the potential role of the triglyceride-glucose index (TyG index) as a predictor of diabetes in a White European cohort, and compared it to fasting plasma glucose (FPG) and triglycerides. METHODS: 4820 patients of the Vascular-Metabolic CUN cohort (VMCUN cohort) were examined and followed up for 8.84years (±4.39). We performed a Cox proportional hazard ratio with repeated-measures analyses to assess the risk of developing type 2 diabetes across quartiles of FPG, triglycerides and the TyG index (ln[fasting triglycerides (mg/dl)×fasting plasma glucose (mg/dl)/2]), and plotted a receiver operating characteristics (ROC) curve for discrimination. RESULTS: There were 332 incident cases of type 2 diabetes involving 43,197.32person-years of follow-up. We observed a progressively increased risk of diabetes in subjects with TyG index levels of 8.31 or more. Among those with normal fasting glucose at baseline, <100mg/dl, subjects with the TyG index in the fourth quartile were 6.87 times more likely to develop diabetes (95% CI, 2.76-16.85; P for trend<0.001), as compared with the bottom quartile. The areas under the ROC curves (95% CI) were 0.75 (0.70-0.81) for TyG index, 0.66 (0.60-0.72) for FPG and 0.71 (0.65-0.77) for TG, in subjects with normal fasting glucose (p=0.017). CONCLUSIONS: Our data suggest that the TyG index is useful for the early identification of individuals at risk of type 2 diabetes. The TyG index seems to be a better predictor than FPG or triglycerides of the potential development of type 2 diabetes in normoglycemic patients.
AIMS: We evaluated the potential role of the triglyceride-glucose index (TyG index) as a predictor of diabetes in a White European cohort, and compared it to fasting plasma glucose (FPG) and triglycerides. METHODS: 4820 patients of the Vascular-Metabolic CUN cohort (VMCUN cohort) were examined and followed up for 8.84years (±4.39). We performed a Cox proportional hazard ratio with repeated-measures analyses to assess the risk of developing type 2 diabetes across quartiles of FPG, triglycerides and the TyG index (ln[fasting triglycerides (mg/dl)×fasting plasma glucose (mg/dl)/2]), and plotted a receiver operating characteristics (ROC) curve for discrimination. RESULTS: There were 332 incident cases of type 2 diabetes involving 43,197.32person-years of follow-up. We observed a progressively increased risk of diabetes in subjects with TyG index levels of 8.31 or more. Among those with normal fasting glucose at baseline, <100mg/dl, subjects with the TyG index in the fourth quartile were 6.87 times more likely to develop diabetes (95% CI, 2.76-16.85; P for trend<0.001), as compared with the bottom quartile. The areas under the ROC curves (95% CI) were 0.75 (0.70-0.81) for TyG index, 0.66 (0.60-0.72) for FPG and 0.71 (0.65-0.77) for TG, in subjects with normal fasting glucose (p=0.017). CONCLUSIONS: Our data suggest that the TyG index is useful for the early identification of individuals at risk of type 2 diabetes. The TyG index seems to be a better predictor than FPG or triglycerides of the potential development of type 2 diabetes in normoglycemic patients.
Authors: B Kang; Y Yang; E Y Lee; H K Yang; H-S Kim; S-Y Lim; J-H Lee; S-S Lee; B-K Suh; K-H Yoon Journal: Int J Obes (Lond) Date: 2017-01-20 Impact factor: 5.095
Authors: Nataša Milošević; Maja Milanović; Jan Sudji; Dragana Bosić Živanović; Stefan Stojanoski; Bojan Vuković; Nataša Milić; Milica Medić Stojanoska Journal: Environ Sci Pollut Res Int Date: 2019-12-06 Impact factor: 4.223