scholarly journals Different Thresholds of Serum Ferritin Levels for Prediction of Liver Iron Concentration in Hemoglobinopathies

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2146-2146
Author(s):  
Angela Vitrano ◽  
Giuseppina Calvaruso ◽  
Lorenzo Tesè ◽  
Francesco Gioia ◽  
Filippo Cassarà ◽  
...  

Abstract Introduction. This was a cross-sectional study of patients with hemoglobinopathies attending 13 Italian centers participating in the LICNET (Liver Iron Cutino Network) network promoted from Piera Cutino partnership and instituted by our center (Campus of Haematology Franco e Piera Cutino-A.O.O.R. Villa Sofia Cervello, Italy) on February 2013. LICNET is addressed to the diagnostics of iron overload in liver by R2 MRI (Ferriscan®) in patients with hemoglobinopathies. Ferriscan is a rapid scan method now available (10 minutes). This tool is crucial to have accurate and reliable measures for iron body burden control in hemoglobinopathies. Methods. Data included patients with β-thalassemia major (TM) (regularly transfused) (TX), β-thalassemia intermedia (TI) (both TX and non-transfused) (non-TX), and sickle cell disease (SCD) (both TX and non-TX). The main aim of the study was to evaluate how serum ferritin levels (SFLs) predict liver iron concentration (LIC) in different hemoglobinopathies, and to have valuable information about prognosis and response to therapy. In particular, to identify SFLs that best predict LIC thresholds of clinical significance (7 and 15 mg Fe/g dw) by identifying levels with highest sum of sensitivity and specificity was used the receiver operating characteristic (ROC) curve analysis. Results. A total of 363 patients were evaluated in this analysis, with a mean age of 35.6 ± 13.0 years (range: 6-76) and including 160 (44.1%) males. The underlying diagnosis were β-TM (n=204, 56.2), β-TI (n=102, 28.1%), and SCD (n=57, 15.7%). Among β-TI patients, 60 (58.8%) were on transfusion therapy. Similarly, in patients with SCD 34 (59.6%) were on transfusion therapy. The mean LIC in the study population was 7.8 ± 9.6 mg Fe/g dw and the median was 4.0 mg Fe/g dw. Across underlying diseases, LIC distribution was as follows: β-TM (mean: 9.0 ± 10.7, median: 4.9 mg Fe/g dw), TX β-TI (mean: 7.1 ± 7.3, median: 5.0 mg Fe/g dw), non-TX β-TI (mean: 5.1 ± 6.0, median: 3.2 mg Fe/g dw), TX SCD (mean: 8.5 ± 11.0, median: 4.5 mg Fe/g dw), and non-TX SCD (mean: 3.1 ± 1.9, median: 2.4 mg Fe/ g dw). It was apparent that TX patients irrespective of underlying diagnosis have a comparable proportion of patients with high LIC risk categories (>7 mg Fe/g dw) (p=0.627). Among chelated patients, LIC distribution was as follows: Deferoxamine (DFO) (mean: 7.3 ± 8.5, median: 4.7 mg Fe/g dw), Deferiprone (DFP) (mean: 11.6 ± 11.4, median: 8.4 mg Fe/g dw), Deferasirox (DFX) (mean: 7.8 ± 10.3, median: 3.2 mg Fe/g dw), DFO+DFP (mean: 8.2 ± 10.6, median: 4.5 mg/ Fe g dw), and other combinations (mean: 6.5 ± 4.0, median: 5.1 mg Fe/ g dw), with a statistically significant difference noted between groups (p =0.009) with the highest median among chelated patients noted in DFP treated patients and lowest median noted in DFX treated patients. For underlying disease groups, ROC curve analysis showed that SFLs that best predict LIC thresholds of 7 and 15 mg Fe/g dw varied, although patients with β-TI showed lowest SFLs to predict these thresholds especially non-TX patients (Fig. 1, Fig.2). Discussion. This study suggest as high values of LIC are present even in patients with TI or SCD, confirming that gastro-intestinal iron absorption is one of the main mechanism for secondary iron overloading. Moreover, close to 20% of patients with non-TX β-TI continue to have high LIC thresholds, while none of non-TX patients with SCD have LIC values > 7 mg Fe/g dw. The evidence that SFLs of 900 ng/mL are related in β-TI with LIC > 15 mg Fe/g dw (Fig. 2) suggests as chelation treatment could be reconsidered earlier in this cohort of patients. Finally, these findings suggest as LIC is predicted by different SFLs according to the different types of hemoglobinopathy. Figure 1. Receiver operating characteristic curve analysis of serum ferritin level for predicting LIC>7 mg Fe/g dw in Thalassemia Major, Thalassemia Intermedia and Sickle Cell Disease patients. Figure 1. Receiver operating characteristic curve analysis of serum ferritin level for predicting LIC>7 mg Fe/g dw in Thalassemia Major, Thalassemia Intermedia and Sickle Cell Disease patients. Figure 2. Receiver operating characteristic curve analysis of serum ferritin levels for predicting LIC>15 mg Fe/g dw in Thalassemia Major, Thalassemia Intermedia and Sickle Cell Disease patients. Figure 2. Receiver operating characteristic curve analysis of serum ferritin levels for predicting LIC>15 mg Fe/g dw in Thalassemia Major, Thalassemia Intermedia and Sickle Cell Disease patients. Disclosures No relevant conflicts of interest to declare.

Blood ◽  
2003 ◽  
Vol 102 (4) ◽  
pp. 1529-1530 ◽  
Author(s):  
Mohamed Bradai ◽  
Mohand Tayeb Abad ◽  
Serge Pissard ◽  
Fatima Lamraoui ◽  
Laurent Skopinski ◽  
...  

Abstract Hydroxyurea (HU) enhances fetal hemoglobin (Hb) production. An increase in total Hb level has been repeatedly reported during HU treatment in patients with sickle cell disease and in several patients with β-thalassemia intermedia. Effects in patients with β-thalassemia major are controversial. We now report a marked elevation of total Hb levels with HU that permitted regular transfusions to be stopped in 7 children with transfusion-dependent β-thalassemia. The median follow-up was 19 ± 3 months (range, 13-21 months). We conclude that HU can eliminate transfusional needs in children with β-thalassemia major, which could be particularly useful in countries such as Algeria, where supplies of blood or chelating agents are limited.


2019 ◽  
Vol 30 (7-8) ◽  
pp. 221-228
Author(s):  
Shahab Hajibandeh ◽  
Shahin Hajibandeh ◽  
Nicholas Hobbs ◽  
Jigar Shah ◽  
Matthew Harris ◽  
...  

Aims To investigate whether an intraperitoneal contamination index (ICI) derived from combined preoperative levels of C-reactive protein, lactate, neutrophils, lymphocytes and albumin could predict the extent of intraperitoneal contamination in patients with acute abdominal pathology. Methods Patients aged over 18 who underwent emergency laparotomy for acute abdominal pathology between January 2014 and October 2018 were randomly divided into primary and validation cohorts. The proposed intraperitoneal contamination index was calculated for each patient in each cohort. Receiver operating characteristic curve analysis was performed to determine discrimination of the index and cut-off values of preoperative intraperitoneal contamination index that could predict the extent of intraperitoneal contamination. Results Overall, 468 patients were included in this study; 234 in the primary cohort and 234 in the validation cohort. The analyses identified intraperitoneal contamination index of 24.77 and 24.32 as cut-off values for purulent contamination in the primary cohort (area under the curve (AUC): 0.73, P < 0.0001; sensitivity: 84%, specificity: 60%) and validation cohort (AUC: 0.83, P < 0.0001; sensitivity: 91%, specificity: 69%), respectively. Receiver operating characteristic curve analysis also identified intraperitoneal contamination index of 33.70 and 33.41 as cut-off values for feculent contamination in the primary cohort (AUC: 0.78, P < 0.0001; sensitivity: 87%, specificity: 64%) and validation cohort (AUC: 0.79, P < 0.0001; sensitivity: 86%, specificity: 73%), respectively. Conclusions As a predictive measure which is derived purely from biomarkers, intraperitoneal contamination index may be accurate enough to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology and to facilitate decision-making together with clinical and radiological findings.


2012 ◽  
Vol 157 (5) ◽  
pp. 645-647 ◽  
Author(s):  
Emma Drasar ◽  
Nisha Vasavda ◽  
Norris Igbineweka ◽  
Moji Awogbade ◽  
Marlene Allman ◽  
...  

2011 ◽  
Vol 86 (12) ◽  
pp. 1001-1006 ◽  
Author(s):  
Weili Bao ◽  
Hui Zhong ◽  
Xiaojuan Li ◽  
Margaret T. Lee ◽  
Joseph Schwartz ◽  
...  

Hematology ◽  
2013 ◽  
Vol 2013 (1) ◽  
pp. 447-456 ◽  
Author(s):  
John Porter ◽  
Maciej Garbowski

Abstract The aims of this review are to highlight the mechanisms and consequences of iron distribution that are most relevant to transfused sickle cell disease (SCD) patients and to address the particular challenges in the monitoring and treatment of iron overload. In contrast to many inherited anemias, in SCD, iron overload does not occur without blood transfusion. The rate of iron loading in SCD depends on the blood transfusion regime: with simple hypertransfusion regimes, rates approximate to thalassemia major, but iron loading can be minimal with automated erythrocyte apheresis. The consequences of transfusional iron overload largely reflect the distribution of storage iron. In SCD, a lower proportion of transfused iron distributes extrahepatically and occurs later than in thalassemia major, so complications of iron overload to the heart and endocrine system are less common. We discuss the mechanisms by which these differences may be mediated. Treatment with iron chelation and monitoring of transfusional iron overload in SCD aim principally at controlling liver iron, thereby reducing the risk of cirrhosis and hepatocellular carcinoma. Monitoring of liver iron concentration pretreatment and in response to chelation can be estimated using serum ferritin, but noninvasive measurement of liver iron concentration using validated and widely available MRI techniques reduces the risk of under- or overtreatment. The optimal use of chelation regimes to achieve these goals is described.


2020 ◽  
pp. 263208432097225
Author(s):  
Ruwanthi Kolamunnage-Dona ◽  
Adina Najwa Kamarudin

The performance of a biomarker is defined by how well the biomarker is capable to distinguish between healthy and diseased individuals. This assessment is usually based on the baseline value of the biomarker; the value at the earliest time point of the patient follow-up, and quantified by ROC (receiver operating characteristic) curve analysis. However, the observed baseline value is often subjected to measurement error due to imperfect laboratory conditions and limited machine precision. Failing to adjust for measurement error may underestimate the true performance of the biomarker, and in a direct comparison, useful biomarkers could be overlooked. We develop a novel approach to account for measurement error when calculating the performance of the baseline biomarker value for future survival outcomes. We adopt a joint longitudinal and survival data modelling formulation and use the available longitudinally repeated values of the biomarker to make adjustment of the measurement error in time-dependent ROC curve analysis. Our simulation study shows that the proposed measurement error-adjusted estimator is more efficient for evaluating the performance of the biomarker than estimators ignoring the measurement error. The proposed method is illustrated using Mayo Clinic primary biliary cirrhosis (PBC) study.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yasuhiro Mochida ◽  
Takayasu Ohtake ◽  
Marie Morota ◽  
Kunihiro Ishioka ◽  
Hidekazu Moriya ◽  
...  

Abstract Background and Aims Approximately, 20%-70% of patients with cholesterol crystal embolism (CCE) have eosinophilia. However, it remains unknown how eosinophilia influences on renal prognosis in patients with CCE. In this study, we investigated an association between eosinophil count (Eo) and renal prognosis in CCE patients on steroid therapy. Method The present study is a single-center retrospective cohort study in patients with pathological proven CCE and Chronic kidney disease from April 2007 to May 2018. This study included the patients who are not treated with maintenance dialysis nor steroid, and moreover followed until November 2019. We analyzed the validity of eosinophil counts using receiver operating characteristic (ROC) curve analysis. In the statistical analysis, renal survival was calculated with the Kaplan– Meier method, and comparisons between higher and low Eo groups were made with the log-rank test. Results Thirty-two patients with pathological diagnosed CCE were enrolled and followed-up for 11.0 (4.7-43.6) months. There were significant differences in the white blood cell (p=0.03), hemoglobin (p=0.007), serum creatinine levels (p=0.03), phosphate (p=0.045), Calcium×Phosphate (p=0.03), and Eo (p=0.016) between the renal survival and renal death groups. Using the receiver operating characteristic curve analysis with Youden index, Eo of 810/µL showed the sensitivity and specificity 71% and 88% for detecting renal death, respectively (area under the carve; 0.789). Comparing the outcomes in patients having Eo ≥ and &lt;810/µL by using the log-rank test, there are significantly higher renal death rate in CCE patients with Eo ≥810/µL (p=0.004). Conclusion Higher eosinophilia was a prognostic risk factor for renal death in the patients with CCE.


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