FAILURE OF SERUM FERRITIN LEVELS TO PREDICT BONE-MARROW IRON CONTENT AFTER INTRAVENOUS IRON-DEXTRAN THERAPY

The Lancet ◽  
1982 ◽  
Vol 319 (8273) ◽  
pp. 652-655 ◽  
Author(s):  
Majid Ali ◽  
A Olusegun Fayemi ◽  
Joseph Frascino ◽  
Robert Rigolosi ◽  
Evalynne V. Braun ◽  
...  
2008 ◽  
Vol 6 (1) ◽  
pp. 23-32 ◽  
Author(s):  
LAURA W. FLEMING ◽  
A. K. NAJMA SALEEM ◽  
H. B. GOODALL ◽  
W. K. STEWART

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3358-3358
Author(s):  
Regine Grosse ◽  
Suzan Acar ◽  
Bjoern Schoennagel ◽  
Roland Fischer ◽  
Jin Yamamura ◽  
...  

Abstract Objective: Patients with iron overload suffer from different organ damage due to increased iron concentration. Iron overload in the bone marrow and the influence of iron chelation therapy on bone marrow iron content may play an additional role in these patients and is until now not well examined. Material and Methods: We performed MRI-R2* measurements in the vertebral bone marrow using water-fat chemical shift relaxometry for estimation of iron and fat content in comparison to hepatic and splenic iron concentrations and serum ferritin in patients with iron overload due to hereditary hemochromatosis (HHC) and patients with siderosis due to red blood cell transfusions and /or iron loading anemia. 112 patients with iron overload, mean age: 32 y (transfusion dependent thalassemia major (TM) n=65, Diamond-Blackfan anemia (DBA) n=12, HHC n=10, iron loading anemia (EA) n=7, transfusion siderosis n=12 and stem cell transplantation n=6) and 14 control subjects underwent MRI for determination of the transverse relaxation rate R2*assessed from ROI based signal intensities of one transversal slice (10mm) through the liver, spleen, and mid-vertebral bone marrow. Breathhold water-fat relaxometry (12 echo times, TE=1.3-26ms, FA=20°, bandwidth=1955Hz/px) was performed to determine apparent fat contents (aFC) and bone marrow R2*. Additionally, serum ferritin values were assessed. In 67 patients with TM under chelation therapy with Deferasirox (DFX) we compared R2* bone marrow iron content with the ratio of the chelator dose rate (Deferasirox, [mmol/d]) to the total liver iron (LivFe = LIC*volume [g-Fe]). Results: Relative to controls (n=14, R2* = 95s-1) and HHC (n=10, R2* = 95s-1), median bone marrow R2* rates were significantly increased in patients with TM (n=65, R2* = 398s-1, p<10-4) or DBA (n=12, R2* = 252s-1, p = 0.005). R2* of the bone marrow significantly correlated with serum ferritin (rS=0.52, p<10-4), splenic R2* (rS=0.43, p<10-4), cardiac R2* (rS=0.43, p<10-4), and hepatic R2* (rS=0.37, p<10-4). No significant correlation of aFC with marrow R2* could be obtained. The bone marrow iron content was higher in patients with a low Deferasirox (DFX) dose. A DFX dose > 150 (mmol/d)/g-Fe was a negativ predictor for increased bone marrow iron content (R2* > 700 1/s), but a significant correlation couldn't be found (r = 0,077), probably due to the low number of patients. The efficacy dose of DFX for a low bone marrow iron content seems to lay between a dose of 1mmol/d (18mg/d) and 2,5 mmol/d (45mg/d). A DFX dose > 2,5 mmol/d didn't seem to increase the efficacy. Table 1. Diagnosis (n) Age Median (IQR) KM R2* [s-1 ] Median (IQR) KM R2* 95 % range Control group (14) 29.8 (26.0) 95 (43) 62 - 134 TM ( 65) 30.6 (16.2) 398 (455) 73 - 1213 HH (10) 56.4 (9.3) 95 (40) 61 - 270 EA (7) 46.6 (24.8) 191 (93) 159 - 490 DBA (12) 27,6 (14.6) 252 (250) 62 - 652 TS(12) 32.3 (46.2) 322 (304) 116 - 607 BMT (6) 20 (20.8) 285 (342) 105 - 470 Conclusion: Water-fat chemical shift relaxometry allows precise determination of bone marrow R2* rates and estimation of the apparent fat content, which may add additional information to these patients. Patients with transfusion related iron overload have significant higher bone marrow iron content than patients with iron overload due to hereditary hemochromatosis. DFX in an adäquat dose seem to prefent bone marrow iron overload. Disclosures Grosse: Swedish Orphan Biovitrum: Honoraria; Novartis Oncology: Honoraria, Research Funding.


2018 ◽  
Vol 5 (4) ◽  
pp. 686-691
Author(s):  
Mayank Singh ◽  
Swati Raj ◽  
Dwijendra Nath ◽  
Pallavi Agrawal ◽  
Sufiya Ahmed

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Cristina-Stela Capusa ◽  
Ana-Maria Mehedinti ◽  
Gabriela-Adriana Talimba ◽  
Ana Stanciu ◽  
Liliana Viasu ◽  
...  

Abstract Background and Aims Hepcidin-25 (Hep25) is a key known regulator of iron metabolism and its interactions with inflammation, iron stores and erythropoietic activity were involved in the pathogenesis of chronic kidney disease (CKD)-associated anemia. Therefore, our aim was to assess the determinants of serum Hep25 level in non-dialysis CKD patients. Method In this cross-sectional, single-center study, 52 subjects (56% men, 65±13 years) with CKD [estimated glomerular filtration rate, eGFR 14.5 (95%CI 16 to 25) mL/min] and anemia [hemoglobin, Hb 9.8 (95%CI 9.2 to 9.9) g/dL], not treated with erythropoiesis-stimulating agents (ESA) or iron in the previous 6 months, were enrolled. Patients with anemia of other causes than CKD, active infectious and inflammatory diseases, malignancy, severe hyperparathyroidism, transfusions during the last 3 months, and immunosuppressive therapy were excluded. The iron status was evaluated using both peripheral and central parameters. The iron stores were assessed by serum ferritin (Fer) and iron content in bone marrow macrophages (iMf, measured quantitively on a scale from 0 to 6). The iron available for erythropoiesis was assessed by transferrin saturation (TSAT) and the percentage of sideroblasts (%Sb). Anemia was further evaluated by a peripheral blood smear, erythrocytes indices and reticulocyte index. Serum Hep25 and erythropoietin (Epo) were assessed by ELISA (Bachem®, and Abcam® 119522, respectively). C-reactive protein (CRP), albumin, and parameters of kidney disease (eGFR, proteinuria) were also measured. Mann-Whitney, Kruskal-Wallis, Chi2 tests, Spearman bivariate correlation and multiple linear regression were used for statistical analysis. Results The median serum Hep25 of the whole cohort was 82.1 (95%CI 68.7 to 92.1) ng/mL. According to median Hep25, subjects were clustered in Group 1 (below median - G1) and Group 2 (above median - G2). %Sb and reticulocyte index had higher levels in G2 than in G1 [9 (95%CI 5 to 14) vs. 5 (95%CI 4 to 7) %, p=0.003 and 0.55 (95%CI 0.39 to 0.77) vs. 0.41 (95%CI 0.32 to 0.58), p=0.05, respectively], while the proportions of subjects with iMf suggestive for iron deficiency or iron overload were similar in G2 and G1 (38% vs. 50%, p=0.40, and 26% vs. 23%, p= 0.75, respectively). Peripheral blood smear, peripheral iron indices and all the other studied parameters were also alike. In bivariate analysis, Hep25 was positively associated both with indices of iron stores, i.e. Fer (rs = 0.30, p=0.03) and iMf (rs = 0.34, p=0.01) and indices of iron available for erythropoiesis, i.e. %Sb (rs = 0.55, p&lt;0.001) and (marginally) with TSAT (rs = 0.26, p=0.06). Meanwhile, Hep25 was not related to serum Epo, CKD parameters or inflammation markers. In a multivariate linear regression model that explained 28% of Hep25 variation, the percentage of bone marrow sideroblasts, i.e. the tissue iron available for erythropoiesis, was the only independent determinant of Hep25: Variables entered in the first step: reticulocyte index, percentage of medullary sideroblasts (%Sb), iron content in the bone marrow macrophages (iMf), serum ferritin, and transferrin saturation Conclusion In stable patients with advanced CKD, not treated with ESA or iron, with low to moderate inflammation, serum hepcidin was related only to bone marrow iron available for erythropoiesis, suggesting that in this clinical setting the need of iron for erythropoiesis prevails over inflammation in regulation of hepcidin synthesis.


2009 ◽  
Vol 30 (4) ◽  
pp. 337-344 ◽  
Author(s):  
Nils Milman ◽  
Susanne Bangsbøll ◽  
Nils Strandberg Pedersen ◽  
Jakob Visfeldt

1980 ◽  
Vol 17 (2) ◽  
pp. 237-241 ◽  
Author(s):  
John D. Bell ◽  
William R. Kincaid ◽  
Richard G. Morgan ◽  
Harvey Bunce ◽  
Jack B. Alperin ◽  
...  

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 1852-1852
Author(s):  
Paola Polchi ◽  
Rossella Palmieri ◽  
Marco Andreani ◽  
Javid Gaziev ◽  
Cecilia Alfieri ◽  
...  

Abstract Liver iron concentration (LIC) is a known and accurate marker of iron accumulation and is widely utilized to monitor iron chelation therapy in multiply transfused patients with Beta thalassemia major. Iron concentration in the bone marrow has not been studied and reported before. We utilized atomic absorption spectrophotometry to measure the iron content of marrow biopsy (BIC) in 102 thalassemia patients in various phase of treatment, 74 of them during the course of the disease and 28 patients after successful allogeneic marrow transplant. We observed BIC values below 0.5 mg/g dry weight in 7 healthy donors used as controls. Mean and median BIC were 4.67 and 2.70 (range 0.05 – 59.9) mg/g dw, in 101 valuable patients. Bone Marrow iron concentration (BIC) was calculated at the same time of LIC for each patient and a ratio LIC/BIC was generated. LIC/BIC ratio below 3, ratio between 3 and 10, and above 10 identified three categories of patients each with significant linear correlation between LIC and BIC (0.74; 0.76; 0.81 respectively). Twenty eight patients were in the first category, 48 in the second, and 25 in the third. Mean BIC was 9.47, 3.7, 1.2 mg/g dw and mean LIC was 12.7, 19.6, 22.3 mg/g dw respectively for CAT1, CAT2 and CAT3. Patients were also classified in class of risk for transplant, based on hepatomegaly, presence of liver fibrosis and history of regular or irregular iron chelation. BIC was higher in class 3 patients and in the irregularly chelated patients. Patients in class 1 were prevalently in CAT1 or 2, patients in class 3 were prevalently in CAT2 or 3. BIC value in each of the 3 categories correlated significantly with the whole body iron (WBI) amount, and WBI was significantly different in the three categories being lower in CAT1, that have higher BIC ( 3927 mg; 5894 mg, 7030 mg in CAT1, 2 and 3; p 0.01). Iron chelation quality (regular vs irregular) correlated with BIC value and with BIC category, majority of regularly chelated patients were in the Category 1 vs Category 2 or 3 (p 0.01). Patients before transplant were prevalently in CAT1 and 2, while those post transplant were mostly in CAT3, twelve patients that were studied both before and after transplant, changed from cat 1 to 2 or from cat 2 to 3. Their BIC changed significantly decreasing after BMT (median BIC was 7.8 before transplant and 2.25 after, p=0.002) To investigate the role of genetic hemochromatosis mutations, H63D region and Hamp region in 63 patients were also studied. Mean BIC was 3.08 in 16 patients with H63D mutation compared to 5.59 in those without mutation, and 11/16 had BIC below the median, p=0.03. Significantly more patients with H63D mutation were in CAT3 (p 0.02). Apparently H63D mutation favours accumulation of iron in the body, that was higher in CAT3, but participate also to lowering utilization of introduced iron. In conclusion, patients in category 1 had lower LIC and higher BIC, comprehended 50% of the patients in class 1 of risk, and 45% of the regularly chelated patients. On the contrary, majority of patients post transplant independently of having or not performed an iron removal program were in CAT3. We can draw conclusion that BIC related categories, as described here, give information on the balance between accumulation and utilization of iron. Patients belonging to BIC-Cat 1 correspond to patients that have been treated adequately and with lower iron body burden, better chelation history. They have higher BIC value and lower LIC value. They also are in pre-transplant phase, with active beta-thalassemia, when ineffective erythropoiesis and marrow expansion are more prominent. Further studies will be necessary to confirm the association of marrow iron content with the marrow functionality and expansion.


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