TyG (Triglyceride) Index A Risk Assessment Tool For Early Diagnosis Of Prediabetic Individuals

Authors

  • Meraj Rahim Dow University of Health Sciences
  • Muhammad Khalid Siddiqui Dow University of Health Sciences
  • Nighat Mirza Dow University of Health Sciences
  • Shaheen Sharafat Dow University of Health Sciences
  • Masood Anwer Qureshi Dow University of Health Sciences
  • Muhammad Adnan Kanpurwala Karachi Institute of Medical Sciences, Karachi

Abstract

Background: Type 2 diabetes mellitus has assumed a universal proportion. To predict future onset of diabetes, a simple routine test can be used as an innovative method to calculate the Triglyceride Index [TyG] – a product of fasting plasma glucose and serum triglyceride levels.

Methodology: The study was designed as a cross sectional survey. The subjects were stratified on the presence of family history of Type 2 Diabetes Mellitus(T2DM). The Nutritional status and lipid profile were measured. The Roche Hitachi® Analyzer 902 calculates the analyst concentration of lipid profile for each sample. The blood glucose levels were estimated by Glucose oxidase method.

Results: The study shows, age, diastolic blood pressure, glucose, cholesterol, triglyceride, HDL and TyG index have significant mean differences across TyG index quartiles. History of diabetes in mothers and in siblings shows significant association with TyG index quartiles, Group of diabetes and smoking shows significant association with TyG-index quartiles.

Conclusions: High risk individuals with history of diabetes in their family can be assessed for future risk of type 2 diabetes mellitus by using this innovative method of calculating simple products of fasting triglycerides and fasting plasma sugar.

Key words: Diabetes, fasting plasma glucose, lipid profile, TyG index

Author Biographies

Meraj Rahim, Dow University of Health Sciences

Associate Professor, Department of Physiology

Muhammad Khalid Siddiqui, Dow University of Health Sciences

Assistant Professor, Department of Physiology

Nighat Mirza, Dow University of Health Sciences

Senior Lecturer, Department of Community Medicine 

Shaheen Sharafat, Dow University of Health Sciences

Professor, Department of Pathology

Masood Anwer Qureshi, Dow University of Health Sciences

Professor, Department of Physiology

Muhammad Adnan Kanpurwala, Karachi Institute of Medical Sciences, Karachi

Associate Professor, Department of Physiology

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Published

2020-06-30

How to Cite

Rahim, M., Siddiqui, M. K., Mirza, N., Sharafat, S., Qureshi, M. A., & Kanpurwala, M. A. (2020). TyG (Triglyceride) Index A Risk Assessment Tool For Early Diagnosis Of Prediabetic Individuals. ADVANCES IN BASIC MEDICAL SCIENCES, 3(2). Retrieved from https://abms.kmu.edu.pk/index.php/abms/article/view/99