title: The TyG index may predict the development of cardiovascular events.
abstract: BACKGROUND
  Cardiovascular disease (CVD) is the worldwide leading cause of morbidity and mortality. An early risk detection of apparently healthy people before CVD onset has clinical relevance in the prevention of cardiovascular events. We evaluated the association between the product of fasting plasma glucose and triglycerides (TyG index) and CVD.
  
  
  METHODS
  A total of 5014 patients of the Vascular Metabolic CUN cohort (VMCUN cohort) were followed up during a median period of 10 years. We used a Cox proportional-hazard ratio with repeated measures to estimate the risk of incidence of CVD across quintiles of the TyG index, calculated as ln[fasting triglycerides (mg/dL) × fasting plasma glucose (mg(dL)/2], and plotted a receiver-operating characteristics (ROC) curve to compare a prediction model fitted on the variables used in the Framingham risk score, a new model containing the Framingham variables with the TyG index, and the risk of coronary heart disease.
  
  
  RESULTS
  A higher level of TyG index was significantly associated with an increased risk of developing CVD independent of confounding factors with a value of 2·32 (95% CI: 1·65-3·26) for those in the highest quintile and 1·52 (95% CI: 1·07-2·16) for those in the fourth quintile. The areas under the curve (AUC) of the ROC plots were 0·708 (0·68-0·73) for the Framingham model and 0·719 (0·70-0·74) for the Framingham + TyG index model (P = 0·014).
  
  
  CONCLUSIONS
  The TyG index, a simple measure reflecting insulin resistance, might be useful to early identify individuals at a high risk of developing a cardiovascular event.
authors.affiliation: Hospital Garcia Orcoyen, Estella, Navarra, Spain.|Centro de Salud de Burlada, Burlada, Navarra, Spain.
authors.forename: Laura
authors.initials: L
authors.lastname: Sánchez-Íñigo
authors.affiliation: Hospital Garcia Orcoyen, Estella, Navarra, Spain.
authors.forename: David
authors.initials: D
authors.lastname: Navarro-González
authors.affiliation: Department of Occupational Medicine, University of Navarra Clinic, Pamplona, Spain.|Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.
authors.forename: Alejandro
authors.initials: A
authors.lastname: Fernández-Montero
authors.affiliation: Department of Internal Medicine, University of Navarra Clinic, Pamplona, Spain.|IdiSNA, Pamplona, Spain.
authors.forename: Juan
authors.initials: J
authors.lastname: Pastrana-Delgado
authors.affiliation: IdiSNA, Pamplona, Spain.|Centre for Nutrition Research, Food Science and Physiology, University of Navarra, Pamplona, Spain.|Centro de Investigación Biomédica en Red de Fiosiopatología de la Obesidad y Nutrición (CIBERObn), Instituto CarlosIII, Madrid, Spain.
authors.forename: Jose Alfredo
authors.initials: JA
authors.lastname: Martínez
mesh_terms: D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000378:metabolism*; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000378:metabolism*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D015994:Incidence; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models; D012372:ROC Curve; D018570:Risk Assessment; D013030:Spain / Q000453:epidemiology; D014280:Triglycerides / Q000378:metabolism*
chemical_list: D001786:Blood Glucose; D014280:Triglycerides
keywords: Cardiovascular disease; TyG index; coronary heart disease; glucose; insulin resistance; peripheral arterial disease