Estimation of Serum Homeostasis Model Assessment-Insulin Resistance and Lipid Profile in Beta-thalassemia Major Patients and their Correlation with Iron Overload in Koya City

Authors

DOI:

https://doi.org/10.25156/ptj.v9n2y2019.pp125-132

Keywords:

Homeostasis model assessment-insulin resistance, Lipid profile and iron overload, Major beta-thalassemia

Abstract

The current study focused on 43 patients who suffer from major beta-thalassemia at the hospital of shaheed Dr. Khaled in the Koya city. Out range, age of cases was 8.03 ± 4.0 and of controls was 7.81 ± 3.11 years. Our aim is to observe the prevalence of homeostasis model assessment-insulin resistance and other physiological and biochemical changes in major beta-thalassemia. While we a significant changes confirm that serum glucose concentration was significantly higher in the patients than in the controls (P ? 0.01) and lipid abnormality occurs in beta-thalassemia major patients, which include high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), serum total cholesterol (TC), serum triglycerides (TG), and very-low-density lipoprotein (VLDL) levels compared with normal healthy controls. There was no significant difference between the serum insulin level of cases and controls (P = 0.214), the mean values of serum HDL-C, LDL-C, TC, TG, and VLDL in cases were 29.5 ± 7.8, 65.2 ± 1.9, 121.9 ± 36.7, 182.09 ± 43.1, and 26.47 ± 12.13 mg/dl, respectively. Moreover, the mean values of serum HDL-C, LDL-C, TC, TG, and VLDL in controls were 48.6 ± 4.2, 79.7 ± 14.5, 178.7 ± 14.6, 124.14 ± 12.1, and 23.52 ± 5.47 mg/dl, respectively. In conclusion, the results suggested that revealed that beta-thalassemia patients had hypertriglyceridemia, hypocholesterolemia, and low LDL-C, and HDL-C levels.

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Published

2019-12-01

How to Cite

Saleh, K. K., Abdullah, S. R., & Mekha, R. E. (2019). Estimation of Serum Homeostasis Model Assessment-Insulin Resistance and Lipid Profile in Beta-thalassemia Major Patients and their Correlation with Iron Overload in Koya City. Polytechnic Journal, 9(2), 125-132. https://doi.org/10.25156/ptj.v9n2y2019.pp125-132

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Section

Research Articles