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10.1371/journal.pone.0132006 http://scihub22266oqcxt.onion/10.1371/journal.pone.0132006 C4504469!4504469!26182077     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2015 ; 10 (7): ä Nephropedia Template TP {{tp|p=26182077|t=2015. Reassessment of Iron Biomarkers for Prediction of Dialysis Iron Overload: An MRI Study |pdf=|usr=}}{{26182077}} gab.com Text Reassessment of Iron Biomarkers for Prediction of Dialysis Iron Overload: An MRI Study JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26182077 #FOAvip Background and Objectives: Iron overload among hemodialysis patients was previously considered rare but is now an increasingly recognized clinical situation. We analyzed correlations between iron biomarkers and the liver iron concentration (LIC) measured by magnetic resonance imaging (MRI), and examined their diagnostic accuracy for iron overload. Design, Setting, Participants and Measurements: We performed a prospective cross-sectional study from 31 January 2005 to 31 August 2013 in the dialysis centre of a French community-based private hospital. A cohort of 212 hemodialysis patients free of overt inflammation or malnutrition, were treated for anemia with parenteral iron-sucrose and an erythropoesis-stimulating agent, in keeping with current clinical guidelines. Blinded measurements of hepatic iron stores were performed by T1 and T2* contrast MRI, and relationships were analysed using Spearman?s coefficient, logistic regression and receiver-operator characteristic (ROC) curves. Results: Among the biological markers, only serum ferritin showed a strong correlation with LIC (rho= 0.52, 95% CI: 0.41-0.61, p< 0.0001, Spearman test). In logistic analysis, only serum ferritin correctly classified the overall cohort into patients with normal liver iron stores (LIC ? 50 ?mol/g) and those with elevated liver iron stores (LIC > 50 ?mol/g) (odds ratio 1.007; 95% CI: 1.004-1.010). Serum ferritin was the iron biomarker with the best discriminatory capacity in ROC curves analysis (area under the curve (AUC) = 0.767; 95% CI: 0.698-0.835). The optimal serum ferritin cutoffs were 160 ?g/L for LIC > 50 ?mol/g (mild iron overload) and 290 ?g/L for LIC > 200 ?mol/g (severe iron overload). Conclusions: For clinical purposes, serum ferritin correctly reflects liver iron stores, as assessed by MRI, in hemodialysis patients without overt inflammation or malnutrition. These results strongly suggest that current ferritin target values should be lowered to avoid iron overload. Trial Registration: ISRCTN Registry 80100088 Twit Text FOAVip Reassessment of Iron Biomarkers for Prediction of Dialysis Iron Overload: An MRI Study ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26182077 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26182077 #FOAvip English Wikipedia <ref>{{Cite pmid|26182077}}</ref> Reassessment of Iron Biomarkers for Prediction of Dialysis Iron Overload: An MRI Study #MMPMID26182077 Rostoker G; Griuncelli M; Loridon C; Magna T; Machado G; Drahi G; Dahan H; Janklewicz P; Cohen Y PLoS One 2015[]; 10 (7): ä PMID26182077show ga Background and Objectives: Iron overload among hemodialysis patients was previously considered rare but is now an increasingly recognized clinical situation. We analyzed correlations between iron biomarkers and the liver iron concentration (LIC) measured by magnetic resonance imaging (MRI), and examined their diagnostic accuracy for iron overload. Design, Setting, Participants and Measurements: We performed a prospective cross-sectional study from 31 January 2005 to 31 August 2013 in the dialysis centre of a French community-based private hospital. A cohort of 212 hemodialysis patients free of overt inflammation or malnutrition, were treated for anemia with parenteral iron-sucrose and an erythropoesis-stimulating agent, in keeping with current clinical guidelines. Blinded measurements of hepatic iron stores were performed by T1 and T2* contrast MRI, and relationships were analysed using Spearman?s coefficient, logistic regression and receiver-operator characteristic (ROC) curves. Results: Among the biological markers, only serum ferritin showed a strong correlation with LIC (rho= 0.52, 95% CI: 0.41-0.61, p< 0.0001, Spearman test). In logistic analysis, only serum ferritin correctly classified the overall cohort into patients with normal liver iron stores (LIC ? 50 ?mol/g) and those with elevated liver iron stores (LIC > 50 ?mol/g) (odds ratio 1.007; 95% CI: 1.004-1.010). Serum ferritin was the iron biomarker with the best discriminatory capacity in ROC curves analysis (area under the curve (AUC) = 0.767; 95% CI: 0.698-0.835). The optimal serum ferritin cutoffs were 160 ?g/L for LIC > 50 ?mol/g (mild iron overload) and 290 ?g/L for LIC > 200 ?mol/g (severe iron overload). Conclusions: For clinical purposes, serum ferritin correctly reflects liver iron stores, as assessed by MRI, in hemodialysis patients without overt inflammation or malnutrition. These results strongly suggest that current ferritin target values should be lowered to avoid iron overload. Trial Registration: ISRCTN Registry 80100088 äReassessment of Iron Biomarkers for Prediction of Dialysis Iron Overlo(epmc).pdf DeepDyve Pubget Overpricing