Triglycerides and Glucose Index as Potential Marker of Metabolic Syndrome
DOI:
https://doi.org/10.31344/ijhhs.v5i1.239Keywords:
Metabolic Syndrome, Triglycerides and Glucose IndexAbstract
Background:Triglycerides and Glucose Index (TyG index), a product from fasting levels of triglycerides and glucose, presented promising results as apotential marker of metabolic syndrome in different ethnicity. However, no such reports are available in our population to date.
Objective: To see the effectiveness of ‘Triglycerides and Glucose Index’ to predict metabolic syndromein a Bangladeshi population.
Methods: This cross-sectional study was carried out in Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh, from March 2016 to February 2017. A total of 200 apparently healthy subjects (127 men and 73 women) were selected for the study, who attended the out-patient-departments of the same institution. Anthropometric measurements were recorded – height, weight, waist circumference (WC) and body mass index (BMI). Overnight fasting blood samples were collected to estimate fasting serum glucose andlipid profile. Then TyG index was calculated and evaluated as a tool in diagnosis of metabolic syndrome in the study subjects.Receiver operating characteristic (ROC) curves were plotted to assess the performance of TyG index in MetS prediction by gender. The power of MetS prediction was quantified by the area under the curve (AUC) with 95% confidence intervals.
Results: Sensitivity, specificity, positive predictive value and negative predictive value of TyG index to predict metabolic syndrome were 70.45%, 82.14%, 75.61% and 77.97%in males and 25.00%, 97.32%, 88.00% and 62.29%in females respectively. ROC curve showed optimal cut off value 8.72 and area under the curve 0.72 in male study subjects; in female study subjects, the values were 8.72 and 0.96 respectively (P<0.001).
Conclusion:Triglycerides and Glucose Index (TyG index) represents a simple,accessible and effective tool for assessment of metabolic syndrome in Bangladeshi population.
International Journal of Human and Health Sciences Vol. 05 No. 01 January’21 Page: 85-89
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Copyright (c) 2020 Mariya Tabassum, Miliva Mozaffor, Md Matiur Rahman, Reaz Mahmud Huda
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