M R Salazar1, H A Carbajal2, W G Espeche3, M Aizpurúa4, C A Dulbecco3, G M Reaven5. 1. Hospital Universitario General San Martín, La Plata, Buenos Aires, Argentina; Facultad de Ciencias Médicas, UNLP, Argentina. Electronic address: salazarlandea@gmail.com. 2. Facultad de Ciencias Médicas, UNLP, Argentina. 3. Hospital Universitario General San Martín, La Plata, Buenos Aires, Argentina; Facultad de Ciencias Médicas, UNLP, Argentina. 4. Hospital Municipal de Rauch, Buenos Aires, Argentina. 5. Stanford University School of Medicine, Stanford, CA, USA.
Abstract
BACKGROUND AND AIMS: Insulin resistance is associated with a cluster of abnormalities that increase cardiovascular disease (CVD). Several indices have been proposed to identify individuals who are insulin resistant, and thereby at increased CVD risk. The aim of this study was to compare the abilities of 3 indices to accomplish that goal: 1) plasma triglyceride × glucose index (TG × G); 2) plasma triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C); and 3) Metabolic Syndrome (MetS). METHODS AND RESULTS: In a population sample of 723 individuals (486 women and 237 men, 50 ± 16 and 51 ± 16 years old, respectively), baseline demographic and metabolic variables known to increase CVD risk and incident CVD were compared among individuals defined as high vs. low risk by: TG × G; TG/HDL-C; or MetS. CVD risk profiles appeared comparable in high risk subjects, irrespective of criteria. Crude incidence of CVD events was increased in high risk subjects: 12.2 vs. 5.3% subjects/10 years, p = 0.005 defined by TG/HDL-C; 13.4 vs. 5.3% subjects/10 years, p = 0.002 defined by TG × G; and 13.4% vs. 4.5% of subjects/10 years, p < 0.001 in subjects with the MetS. The area under the ROC curves to predict CVD were similar, 0.66 vs. 0.67 for TG/HDL-C and TG × G, respectively. However, when adjusted by age, sex and multiple covariates, hazard ratios for incident CVD were significantly increased in high risk patients classified by either TG/HDL-C ratio (2.18, p = 0.021) or MetS (1.93, p = 0.037), but not by TG × G index (1.72, p = 0.087). CONCLUSION: Although the 3 indices identify CVD risk comparably, the TG × G index seems somewhat less effective at predicting CVD.
BACKGROUND AND AIMS: Insulin resistance is associated with a cluster of abnormalities that increase cardiovascular disease (CVD). Several indices have been proposed to identify individuals who are insulin resistant, and thereby at increased CVD risk. The aim of this study was to compare the abilities of 3 indices to accomplish that goal: 1) plasma triglyceride × glucose index (TG × G); 2) plasma triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C); and 3) Metabolic Syndrome (MetS). METHODS AND RESULTS: In a population sample of 723 individuals (486 women and 237 men, 50 ± 16 and 51 ± 16 years old, respectively), baseline demographic and metabolic variables known to increase CVD risk and incident CVD were compared among individuals defined as high vs. low risk by: TG × G; TG/HDL-C; or MetS. CVD risk profiles appeared comparable in high risk subjects, irrespective of criteria. Crude incidence of CVD events was increased in high risk subjects: 12.2 vs. 5.3% subjects/10 years, p = 0.005 defined by TG/HDL-C; 13.4 vs. 5.3% subjects/10 years, p = 0.002 defined by TG × G; and 13.4% vs. 4.5% of subjects/10 years, p < 0.001 in subjects with the MetS. The area under the ROC curves to predict CVD were similar, 0.66 vs. 0.67 for TG/HDL-C and TG × G, respectively. However, when adjusted by age, sex and multiple covariates, hazard ratios for incident CVD were significantly increased in high risk patients classified by either TG/HDL-C ratio (2.18, p = 0.021) or MetS (1.93, p = 0.037), but not by TG × G index (1.72, p = 0.087). CONCLUSION: Although the 3 indices identify CVD risk comparably, the TG × G index seems somewhat less effective at predicting CVD.
Authors: Juan Salazar; Valmore Bermúdez; Luis Carlos Olivar; Wheeler Torres; Jim Palmar; Roberto Añez; Maria Gratzia Ordoñez; José Ramón Rivas; María Sofía Martínez; Juan Diego Hernández; Modesto Graterol; Joselyn Rojas Journal: F1000Res Date: 2018-01-11
Authors: Chase M Walton; Katelyn Perry; Richard H Hart; Steven L Berry; Benjamin T Bikman Journal: J Diabetes Res Date: 2019-08-14 Impact factor: 4.011
Authors: Ahmad Kamil Nur Zati Iwani; Muhammad Yazid Jalaludin; Ruziana Mona Wan Mohd Zin; Md Zain Fuziah; Janet Yeow Hua Hong; Yahya Abqariyah; Abdul Halim Mokhtar; Wan Nazaimoon Wan Mohamud Journal: Int J Endocrinol Date: 2019-12-01 Impact factor: 3.257