scholarly journals Is serum ferritin a reliable marker for evaluation of cardiac and hepatic iron overload in patients with β-thalassemia major?

2016 ◽  
Vol 1 (2) ◽  
pp. S21
Author(s):  
Ankita Pandey ◽  
Arijita Chatterjee ◽  
Reshma Nevgi ◽  
Amit Jain ◽  
Prakruthi Kaushik ◽  
...  
Hematology ◽  
2017 ◽  
pp. 1-7 ◽  
Author(s):  
Pustika Amalia Wahidiyat ◽  
Felix Liauw ◽  
Damayanti Sekarsari ◽  
Siti Ayu Putriasih ◽  
Vasili Berdoukas ◽  
...  

2019 ◽  
Vol 11 (2) ◽  
pp. 188-93
Author(s):  
Aryono Hendarto ◽  
Teny Tjitra Sari ◽  
Ludi Dhyani Rahmartani ◽  
Anggia Widyasari ◽  
Stephen Diah Iskandar

BACKGROUND: Organ damage due to iron toxicity is one factor that increases the risk of getting cardiovascular and metabolic diseases in thalassemia patient. This study aims to determine glucose and lipid profiles in adolescents with thalassemia major and its association with iron overload in pancreas and liver.METHODS: This was a cross sectional study. Subjects were thalassemia major adolescents without any confounding factors that may affect glucose and lipid levels. Blood samples were collected to measure the glucose level, lipid profiles, ferritin level and transferrin saturation. T2-Magnetic Resonance Imaging was used to evaluate the iron overload in organs.RESULTS: From a total of 60 subjects, diabetes mellitus was diagnosed in 1 subject and impaired fasting glucose was diagnosed in 3 subjects. All subjects had high triglycerides/ high density lipoprotein-cholesterol (HDL-C) ratio, 59 subjects (98%) had low HDL-C, 18 subjects (30%) had hypertriglyceridemia, and none had abnormal high level of low density lipoprotein-cholesterol (LDL-C). The majority of subjects had ferritin ≥2,500 ng/mL (70%), mild pancreatic iron overload (56.6%), and moderate hepatic iron overload (43.8%). Degree of hyperferritinemia was not associated with glucose and lipid profiles. Blood glucose profiles were not associated with various degree of pancreatic iron overload. Similar result was also observed between lipid profiles and hepatic iron overload.CONCLUSION: Abnormal glucose and lipid profiles in thalassemia major can be found in adolescence. Normal blood glucose level isn’t necessarily associated with normal pancreatic iron deposition. Hepatic iron overload may worsen dyslipidemia in thalassemia major patients.KEYWORDS: glucose profile, lipid profile, pancreatic iron overload, hepatic iron overload, thalassemia major


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 4031-4031 ◽  
Author(s):  
Antonio M. Risitano ◽  
Elisa Seneca ◽  
Ludovica Marando ◽  
Massimo Imbriaco ◽  
Ernesto Soscia ◽  
...  

Abstract Abstract 4031 Poster Board III-967 Iron metabolism in PNH patients is dominated by perpetual iron loss consequent to the chronic complement-mediated intravascular hemolysis; thus, they are prone to develop iron deficiency rather than iron overload, even in presence of large transfusional requirement. Eculizumab (Ecu) has proven effective for the treatment of intravascular hemolysis in PNH patients, resulting in reduction and even abolishment of transfusion requirement and improvement of signs and symptoms of intravascular hemolysis; however, Hb gain is heterogeneous among patients, in most cases due to residual C3-mediated extravascular hemolysis hampering Hb normalization. The goal of our study was to identify possible modifications in iron compartmentalization associated with Ecu treatment and possible clinical consequences. We evaluated iron metabolism in 5 untreated PNH patients and 23 who were receiving Ecu (of whom 4 have been also studied before treatment), combining biochemical parameters with a semiquantitative T2* MRI technology. MRI was performed using four gradient-echo sequences and one spin-echo sequence; signal intensity (SI) was measured on images obtained with each sequence by means of three regions of interest placed in the renal cortex, liver, spleen and at the level of the para-spinal muscle, resulting in a semiquantitative SI value (Grandon et al., Radiology 1994). Within the total patient cohort (regardless they were or were not on Ecu), there was a significant correlation between liver SI and serum ferritin (P<0.001), while kidney SI correlated with the presence of hemosiderinuria (HS, P<0.001). All untreated PNH patients showed similar MRI findings, with significant renal cortex siderosis and normal SI in liver and spleen. This was consistent with overt intravascular hemolysis, as confirmed by biochemical routine testing, and consequent perpetual hemosiderinuria; as expected, all these patients had abundant HS. In contrast, the 23 PNH patients on Ecu showed a distinct and heterogeneous pattern. All patients showed a normal renal SI, with the exception of 2 cases who have recently started Ecu and 2 experiencing Ecu breakthrough; these 4 patients had normal hepatic and splenic SI. All of them (but none of those with normal renal SI) had persistent HS, while only the latter 2 had increased LDH; we conclude that these 4 patients have had residual intravascular hemolysis, and that HS was more sensitive than LDH to identify recent history of intravascular hemolysis. In contrast, the majority of patients showed increased hepatic SI: we found 6 cases with moderate and 5 cases with severe iron overload; in some patients, high hepatic SI was associated with increased SI in the spleen. The 4 patients evaluated before and during treatment showed pre-treatment renal siderosis which progressively disappeared after months of Ecu therapy; in 2 of them, who had a longer exposition to Ecu, moderate hepatic iron overload was demonstrated. Hepatic SI significantly correlated with serum ferritin (P<0.05), but not with transferrin saturation nor with LDH. Iron overload was predictable as a result of persistent transfusional need only in two patients with partial response to Ecu; however, within the whole cohort, patients with suboptimal hematological response (i.e., those with persistent Hb<11) were more likely to develop severe hepatic iron overload (P=0.02). Thus, we hypothesized that iron overload in these patients may be pathophysiilogically linked to persistent extravascular hemolysis; we found a direct correlation between liver SI and both % of C3+ PNH RBCs (P=0.02) and absolute reticulocyte count (P=0.02), which were considered markers of extravascular hemolysis (Risitano et al, Blood 2009). In conclusion, we show by T2* RMI that untreated PNH patients have significant renal siderosis, which tends to disappear during Ecu treatment as a result of the blockade of intravascular hemolysis. However, such blockade of urinary iron loss may render PNH patients susceptible to liver iron overload resulting from transfusions, as well as from residual extravascular hemolysis. While is still not clear the proportion of patients developing clinically significant iron overload requiring specific treatment, we provide evidence that iron metabolism substantially changes during eculizumab treatment, and C3-mediated extravascular hemolysis may play a major role in this process. Disclosures: Risitano: Alexion Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4833-4833
Author(s):  
Alessia Pepe ◽  
Laura Pistoia ◽  
Domenico D'Ascola ◽  
Maria Rita Gamberini ◽  
Francesco Gagliardotto ◽  
...  

Abstract Introduction. The aim of this multicenter study was to evaluate in thalassemia major (TM) if the cardiac efficacy of the three iron chelators in monotherapy was influenced by hepatic iron levels over a follow up of 18 months. Methods. Among the 2551 TM patients enrolled in the MIOT (Myocardial Iron Overload in Thalassemia) network we evaluated prospectively the 98 patients those with an MR follow up study at 18±3 months who had been received one chelator alone between the 2 MR scans and who showed evidence of significant cardiac iron (global heart T2*<20 ms) at the basal MRI. Iron overload (IO) was measured by T2* multiecho technique. We used cardiac R2* (equal to 1000/T2*) because cardiac R2* is linearly proportional to cardiac iron and hepatic T2* values were converted into liver iron concentration (LIC) values. Results. We identified 3 groups of patients: 47 treated with deferasirox (DFX), 11 treated with deferiprone (DFP) and 40 treated with desferrioxamine (DFO). Percentage changes in cardiac R2* values correlated with changes in LIC in both DFX (R=0.469; P=0.001) and DFP (R=0.775; P=0.007) groups. All patients in these 2 groups who lowered their LIC by more than 50% improved their cardiac iron (see Figure 1). Percentage changes in cardiac R2* were linearly associated to the log of final LIC values in both DFX (R=0.437; P=0.002) and DFP groups (R=0.909; P<0.0001). Percentage changes in cardiac R2* were not predicted by initial cardiac R2* and LIC values. In each chelation group patients were divided in subgroups according to the severity of baseline hepatic iron overload (no, mild, moderate, and severe IO). The changes in cardiac R2* were comparable among subgroups (P=NS) (Figure 2). Conclusion. In patients treated with DFX and DFP percentage changes in cardiac R2* over 18 months were associated with final LIC and percentage LIC changes. In each chelation group percentage changes in cardiac R2* were no influenced by initial LIC or initial cardiac R2*. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures Pepe: Chiesi Farmaceutici and ApoPharma Inc.: Other: Alessia Pepe is the PI of the MIOT project, that receives no profit support from Chiesi Farmaceutici S.p.A. and ApoPharma Inc..


2011 ◽  
Vol 28 (8) ◽  
pp. 702-707 ◽  
Author(s):  
Lu-Hong Xu ◽  
Jian-Pei Fang ◽  
Hong-Gui Xu ◽  
Wen-Jun Weng

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3368-3368
Author(s):  
Debmalya Bhattacharyya ◽  
Maitreyee Bhattacharyya ◽  
Saswata Chatterjee ◽  
Abhijit Chowdhury ◽  
Pramit Ghosh

Abstract Introduction: Transient Elastography (TE) of liver is a well established tool to measure liver stiffness, mainly used for assessment of hepatic fibrosis due to chronic hepatitis. Liver biopsy is the gold standard test for measurement of liver iron concentration (LIC) whereas T2* MRI is the best available non-invasive method for the same in thalassemia. We intended to use hepatic TE as an alternative cheaper tool to assess hepatic iron overload so that it can be applied to larger number of patients. Objective: To assess degree of liver stiffness by TE in patients with HbE beta thalassemia and correlate the findings with LIC calculation by T2* MRI of liver. Materials and Method: 53 patients with HbE beta thalassemia from the thalassemia clinic of Institute of Haematology and Transfusion Medicine, Medical College, Kolkata were enrolled for the study. Patients with known liver disease were excluded. Baseline data like HbE%, mutations, transfusion requirement, growth status, serum ferritin level etc were collected. All of them underwent TE of liver in the School of Digestive and Liver Diseases, IPGMER using the FibroScan Touch 502 machine (Di Marco et al, British Journal of Haematology, Volume 148,3, 476-479, February 2010). 20 randomly selected patients were also assessed by T2*MRI of liver for hepatic iron assessment at the same time. LIC calculation was done from T2* value (J S Hankins et al, Blood, 14 May 2009, Volume 113:20). Data were analyzed by SPSS software-19, IBM. Results: The patients with HbE beta thalassemia had a mean HbE level of 53.66 (±18.45) %. Common beta mutations [mostly IVS-1-5(G-C)] usually found in this part of India, were detected. Mean and median age of the study population was 24.11±13.11 years and 20 years, respectively. Median age of 1st transfusion was 11 years. 35.84% patients were non-transfusion dependent. 39/53 patients had facial deformity and growth retardation. Mean baseline hemoglobin was 7.10±0.76 gm/ dl. Mean serum ferritin level was 3183.66±338.45 ng/ml. TE showed 30.18 % patients had severe liver stiffness (Liver stiffness measurement, LSM >15 kPa) whereas 43.34% had minimum stiffness (LSM≤7 kPa). No significant statistical correlation was found between serum ferritin and LSM. 12/20 patients showed very high calculated LIC (>15 mg/g) and lower T2* value (<1.8 ms) whereas only 10% of them showed mildly elevated calculated LIC. Rest had intermediate LIC. Discussion: There is lack of data regarding hepatic iron overload in HbE beta thalassemia and so also from this part of India. There was a trend that higher the age, higher was the LSM irrespective of the serum ferritin level though not found statistically significant (Figure 1). Serum ferritin level was also not significantly correlated with the calculated LIC in those 20 patients assessed with T2* MRI. 2 patients with mildly elevated LIC had a high ferritin level. Preliminary report indicates that with increase in LSM there was increase in calculated LIC also. Statistical analysis revealed patients with LSM≥7.2 kPa had moderate or severe hepatic iron overload and thus undermine the need for routine T2*MRI. The cut off value signifies that patients with LSM<7.2 kPa might or might not have significantly high liver iron overload, so obviously to be assessed by T2*MRI (Table 1). Therefore use of TE may be an alternative preliminary diagnostic method to gauge hepatic iron overload in HbE beta thalassemia patients. It would be of more value in countries like India where T2* MRI facility is not yet feasible in many centers catering to huge number of HbE-beta thalassemia patients. However, further exploration with larger number of patients is necessary to establish association of LIC and LSM in a more robust way. Conclusion: In resource-poor countries like India, TE may be a relatively cheap tool to be used as a marker of hepatic iron overload in future. Table 1. Finding Cut off: ROC (TE-value and LIC categories), n=20 Positive if Greater Than or Equal Toa Sensitivity 1 - Specificity 2.3 1.00 1.00 3.4 1.00 .50 4.4 .94 .50 5.7 .88 .50 6.2 .83 .50 6.5 .77 .50 7.2 .77 .00 8.2 .72 .00 8.85 .66 .00 9.45 .61 .00 10.2 .55 .00 11.85 .50 .00 13.85 .44 .00 15.75 .38 .00 18.3 .33 .00 22.9 .27 .00 27.9 .22 .00 35.9 .16 .00 44.7 .11 .00 48.0 .05 .00 49.8 .00 .00 Table 2. The smallest cutoff value is the minimum observed test value minus 1, and the largest cutoff value is the maximum observed test value plus 1. LSM more than 7.2 had a sensitivity of 77.2 % and specificity of 100%. Figure 2. Figure 2. Disclosures No relevant conflicts of interest to declare.


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