ESPE2024 Poster Category 2 Multisystem Endocrine Disorders (13 abstracts)
A Correlation Study Between Iron Overload, Chelation Therapy (ICT), and Metabolic Outcomes in β-Thalassemia Major (β-TDT) Patients
Vincenzo De Sanctis 1 , Ashraf Soliman 2 , Shahina Daar 3 , Saveria Campisi 4 & Ploutarchos Tzoulis 4
1Pediatric and Adolescent Outpatient Clinic, Quisisana Hospital, Ferrara, Italy. 2Department of Pediatrics, Division of Endocrinology, Hamad General, Doha, Qatar. 3Department of Haematology, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman. 4Department of Diabetes and Endocrinology, Whittington Hospital, University College London, London, United Kingdom
Introduction and Aim: We conducted this correlation study to analyze the impact of iron overload and chelation therapy on metabolic outcomes in 30 β-Thalassemia Major (β-TDT) patients, divided into those with prediabetes (Group A, n = 15) and those maintaining normal glucose tolerance (Group B, n = 15) over 8 years of consistent iron chelation therapy (ICT).
Results: A negative correlation between pretransfusion hemoglobin (Hb) levels and fasting plasma glucose (FPG), suggesting a protective role of higher Hb levels against glucose intolerance. The interaction between HOMA2-% β and HOMA-IR emphasized the importance of β-cell function and insulin resistance in metabolic outcomes. These. Significant correlations were observed between serum ferritin (SF) levels, body mass index (BMI), and insulin resistance/sensitivity indices, highlighting the complex interaction between iron management and glucose metabolism. (Table)
| Correlation Parameters | Group A: Prediabetes | Group B: Normal OGTT | Total (30 β-TDT pts.) |
| Pretransfusion Hb level vs. FPG | r = -0.66; * | NS | r = -0.45; * |
| Age at starting s.c. ICT with DFO vs. AUC-ins. | NS | r = 0.79; * | r = 0.47; * |
| BMI vs. HOMA-IR | r = 0.53; * | NS | r = 0.46; * |
| HOMA 2-% β vs. HOMA-IR | r = 0.72; * | r = 0.92; * | r = -0.89; * |
| *= P < 0.01, NS = not significant) | |||
Conclusion: This investigation reveals key insights into how iron management strategies affect glucose regulation in β-TDT patients. The study advocates for targeted monitoring of Hb, SF, and BMI to prevent or manage prediabetes, emphasizing the need for personalized care in this patient population.
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