Rizki Fajar Utami
Department of Biochemistry, Faculty of Medicine, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia

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Correlation between Triglyceride Glucose Index and Diabetic Kidney in Type 2 Diabetic: Literature Review Rizki Fajar Utami; Atien Nur Chamidah
Green Medical Journal Vol 6 No 3 (2024): Green Medical Journal
Publisher : Fakultas Kedokteran Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/gmj.v6i3.195

Abstract

Introduction: One marker of insulin resistance in type 2 diabetes is the triglyceride index (TyG), which has been studied to predict the development of diabetic kidney disease (DKD). This study investigates the correlation between the triglyceride glucose index and diabetic kidney disease in type 2 diabetes mellitus. Methods: A comprehensive search was conducted in PubMed, Proquest, ScienceDirect, Taylor and Francis, Cochrane Library and Google Scholar search using search terms including (‘‘Triglyceride Glucose Index or TyG’’) and (‘‘Diabetic Kidney or Diabetic Nephropathy’’) and ("Diabetes Mellitus" OR "Diabetes Mellitus Type II" OR "Type 2 Diabetes Mellitus"). Results: A total of 8 studies were screened based on titles and abstracts, of which 7 studies were included in the analysis of TyG and DKD. A prediction model including the TyG index demonstrated excellent calibration and discrimination for the probability of DKD in research involving patients recently diagnosed with type 2 diabetes mellitus (T2DM). This approach has potential applications in clinical practice. DKD and metabolic diseases are independently correlated with the TyG index. Recently, one sensitive method for identifying DKD with insulin resistance has been the TyG index. The TyG index is a readily available, affordable, and simple marker for identifying of microvascular problems in T2DM patients. Conclusion: In our review, TyG and DKD were significantly positively correlated in patients with type 2 diabetic mellitus. TyG index has potential as a practical tool for determining insulin resistance and predicting the probabilities that individuals with type 2 diabetes are related to diabetic kidney disease.