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Prof. Ghada Saad Abd El- Motaleb Ibrahem :: Publications:

Title:
Evaluation of glycemic abnormalities in children and adolescents with β-thalassemia major
Authors: Aliaa M. Diab*, Ghada S. Abdelmotaleb, Khaled Abdel-Azim Eid, Enas Sebaey S. Mostafa and Eman Sabry Ahmed
Year: 2021
Keywords: Glycemic abnormalities, Diabetes, Insulin resistance, Thalassemia major, B-Thalassemia
Journal: Egyptian Pediatric Association Gazette
Volume: 69
Issue: 9
Pages: 1-7
Publisher: Springer
Local/International: Local
Paper Link: Not Available
Full paper Not Available
Supplementary materials Not Available
Abstract:

Background: The quality of life of B-thalassemia major (β-TM) patients has improved with the use of frequent blood transfusions. However, this leads to chronic iron overload with its sequelae, as prediabetes and diabetes mellitus. This study aimed to assess insulin resistance and glucose abnormalities in a sample of B-thalassemia major patients in Benha, Egypt. Results: This case-control study included 40 B-thalassemia major patients on regular blood transfusion and iron chelation. Their ages ranged from 8 to 16 years, and 30 normal age and sex-matched controls. Thorough clinical examination was performed including weight (kg), height (m), body mass index (BMI) (kg/m2), and liver and spleen size. Laboratory investigations were done in the form of complete blood count, liver enzymes, serum ferritin, fasting plasma insulin, and fasting, and 2 h postprandial plasma glucose. Insulin resistance (IR) was calculated using the Homeostasis Model Assessment of insulin resistance (HOMA-IR) index. Insulin resistance was found in 27.5% of thalassemic patients; 18.2% of them had diabetes, 72.7% were prediabetics (with impaired fasting glycemia), and 9.1% had normal fasting and 2 h postprandial plasma glucose level. Insulin resistance increased significantly with increased blood transfusion duration, serum ferritin, liver enzymes, fasting plasma insulin, fasting plasma glucose, and 2 h postprandial plasma glucose (ROC). The curve analysis showed that the duration of blood transfusion, serum ferritin, fasting plasma insulin, fasting, and 2 h postprandial plasma glucose could significantly predict insulin resistance at a certain cut-off point. Conclusion: Our data show that HOMA-IR can be used to detect insulin resistance in β-TM patients on long-term blood transfusions, especially patients with high serum ferritin and impaired liver enzymes.

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