Study Of Qtc Interval In Nondiabetic Subjects With Impaired Fasting Serum Glucose And Hyperinsulinemia

Indian Journal of Applied Basic Medical Sciences
Year: 2019, Volume: 21(B), Issue. (2)
First page: (75) Last page: (81)
Online ISSN: 2249-7935
Print ISSN: 0975-8917

Study Of Qtc Interval In Nondiabetic Subjects With Impaired Fasting  Serum Glucose And Hyperinsulinemia 
Komal K. Makwana1,  Mukesh Dinkar2*, Hemant Mehta3
1Assistant Professor, 2,3 Professor, Department of Physiology, GMERS medical college Vadnagar
 Corresponding author email id:

Online Published on 02-Jul-2019


INTRODUCTION: India leads the world with the largest number of diabetic subjects (nearly 40 million) and it is predicted that this number would reach almost 80 million by the year 2030. There are research works those indicate towards the genetic liability of Indians towards the insulin resistance, diabetes & obesity. The constellation of insulin resistance, impaired glucose tolerance, atherogenic dyslipidaemia, hypertension and intra abdominal adiposity (IAA) is called metabolic syndrome. This all factors contribute to high cardiovascular risk, morbidity & mortality in population. Identification of cardiovascular risk in nondiabetic subjects at early stage might be a game changer. OBJECTIVE: The aims of our study were to evaluate the prevalence of QTc prolongation in nondiabetic subjects with impaired fasting serum glucose and hyperinsulinemia & identify the subjects with cardiovascular risks at early stage.
METHOD: We estimated fasting serum glucose & insulin in multiple subjects till we found 50 nondiabetic subjects with impaired fasting serum glucose and hyperinsulinemia. For each case we matched 50 control without insulin resistance. Subjects’ heart beats were recorded on the resting ECG tracing. QTc was calculated according to Bazett’s formula. Insulin Resistance& hyperinsulinemia was defined as homeostasis model assessment of IR (HOMA-IR). RESULTS: We observed that there was significant difference in QTc interval between case & control group. CONCLUSION: This study has concluded that Insulin resistance, estimated by HOMA-IR, was strongly correlated with prolonged QTc. Prolonged QTc identifies metabolic syndrome patients with an elevated risk of cardiovascular events.


 hyper insulinemia Insulin Resistance, QTc, HOMA-IR, metabolic syndrome, cardiovascular risk 

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