Internal Medicine and Medical Investigation Journal

ISSN: 2474-7750

Insulin Resistance in Patients with Essential Hypertension Using Homeostatic Model Assessment

Abstract

Author(s): Mohammad Hossein Rasoulzadegan, Hamid Reza Soltani, Masoud Rahmanian, Nakisa Amid

Introduction: Insulin resistance has a strong relationship with the incidence of type II diabetes. It also has a direct relationship with other risk factors of diabetes, which together are known as metabolic syndrome. The aim of this study was to investigate the relationship between insulin resistance and hypertension. Materials and Methods: In this historical cohort study, 90 patients were divided into three different groups: those without hypertension, those with controlled hypertension, and those with uncontrolled hypertension. Systolic and diastolic blood pressure, body mass index, and laboratory test results such as cholesterol, triglycerides, lowdensity lipoprotein, high-density lipoprotein, fasting plasma glucose, and fasting plasma insulin were compared among the three groups. Data were analyzed with t-tests and the analysis of variance test, which were performed using statistical package for the social sciences version 20 software. Results: Age and sex were the same among the three groups; however, BMI, systolic blood pressure, and diastolic blood pressure in the uncontrolled-hypertension group were higher than in the controlled-hypertension and without-hypertension groups (P<0.05). Lipid profile (P<0.05), creatinine (P=0.77), and uric acid (P=0.233) were not significantly different among the groups, although fasting plasma insulin (P=0.012) and homeostatic model assessment of insulin resistance (P=0.038) were significantly higher in the uncontrolled-hypertension group than in the other groups. Conclusion: Homeostasis model assessment of insulin resistance in patients with uncontrolled hypertension was higher than in patients with controlled hypertension and those without hypertension. Therefore, homeostatic model assessment of insulin resistance can be used as a predictive clinical test for the early diagnosis of diabetes in patients with uncontrolled hypertension.

Get the App