Correlation of Transferrin Saturation and Serum Ferritin with Bone Mass Density in Adult Transfusion Dependent Beta-Thalassemia Patients

Abstract

Background The use of regular blood transfusions and iron chelation therapy to treat thalassemia has improved survival and increased the incidence of osteoporosis. Moreover, iron toxicity is one of the contributing factors that reduce bone mass density in adult transfusion-dependent beta-thalassemia patients. Therefore, this study aims to determine the proportion of low bone mass density in adult thalassemia patients and transferrin saturation, as well as serum ferritin, which correlates to the skeletal condition. Methods This is a cross-sectional study conducted in Thalassemia and Hematology Medical Oncology Clinics of Cipto Mangunkusumo Hospital in March 2016. The anthropometric data and hemoglobin levels were obtained before transfusion. Subsequently, the average ferritin levels, bone mineral density, and radiographic results were obtained. Results The percentage of adult thalassemia major and intermedia patients with low bone mass density was 68%. Also, there was a weak inverse correlation between bone mass density and transferrin saturation (r = −0.329, p = 0.01), while no correlation was shown between bone mass density and ferritin (r = −0.088, p = 0.504). The transferrin saturation cutoff point value used to distinguish the incidence of low and normal bone density in patients with transfusion-dependent beta-thalassemia was 89.5%. In addition, there was weak correlation between Singh index and bone mass density (r = 0.273, p = 0.038). Conclusion Among the transfusion-dependent beta-thalassemia patients, 68% had low bone mass density, which inversely correlated to transferrin saturation. Furthermore, the cutoff value of transferrin saturation to differentiate the incidence of low and normal bone density in thalassemia major compared to thalassemia intermedia was 89.5%. Singh Index correlates weakly with bone mass density and might be used to detect low bone mass density in remote healthcare facilities.