| Literature DB >> 30093400 |
Giridhar Kanuri1,2, Deepti Chichula1, Ritica Sawhney1, Kevin Kuriakose1, Sherwin De'Souza1, Faye Pais1, Karthika Arumugam1, Arun S Shet3,4.
Abstract
The detection of iron deficiency anemia is challenged by the paucity of diagnostic tests demonstrating high sensitivity and specificity. Using two biomarkers, zinc-protoporphyrin/heme and hepcidin, we established the diagnostic cut-off values for iron deficiency anemia in preschool children and women. We randomly selected non-anemic individuals (n=190; women=90, children=100) and individuals with iron deficiency anemia (n=200; women=100, children=100) from a preexisting cohort of healthy preschool children and their mothers. The diagnostic performance of these biomarkers was estimated by analyzing receiver operating characteristic curves. Diagnostic cut-offs with a high predictive value for iron deficiency anemia were selected. Median zinc-protoporphyrin/heme and hepcidin values in non-anemic children were 49 μmol/mol heme and 42 ng/mL, respectively, and in non-anemic women these values were 66 μmol/mol heme and 17.7ng/mL, respectively. Children and women with iron deficiency anemia had higher zinc-protoporphyrin/heme ratios (children=151 μmol/mol heme and women=155 μmol/mol heme) and lower hepcidin levels (children=1.2ng/mL and women=0.6ng/mL). A zinc-protoporphyrin/heme ratio cut-off >90 μmole/mole heme in children and >107 μmole/mole heme in women was associated with a high diagnostic likelihood for iron deficiency anemia (children, likelihood ratio=20.2: women, likelihood ratio=10.8). Hepcidin cut-off values of ≤6.8ng/mL in children and ≤4.5ng/mL in women were associated with a high diagnostic likelihood for iron deficiency anemia (children, likelihood ratio=14.3: women, likelihood ratio=16.2). The reference ranges and cut-off values identified in this study provide clinicians with guidance for applying these tests to detect iron deficiency anemia. Erythrocyte zinc-protoporphyrin/heme ratio is a valid point-of-care biomarker to diagnose iron deficiency anemia. CopyrightEntities:
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Year: 2018 PMID: 30093400 PMCID: PMC6269316 DOI: 10.3324/haematol.2018.193243
Source DB: PubMed Journal: Haematologica ISSN: 0390-6078 Impact factor: 9.941
Figure 1.Flow diagram of participants and categorization of study groups. Schematic representation of the study design and sample selection. Using age and gender-adjusted WHO definitions for Hb and serum ferritin, samples were divided into a non-anemic group and a group with iron deficiency anemia. Those individuals with normal Hb values but low serum ferritin were defined as having iron deficiency and excluded. Using a computer random number generator, 200 samples from the iron deficiency anemia group (children = 100; women = 100) and 190 samples from the non-anemic group (Children = 100; Women = 90) were randomly selected for biomarker measurements. IDA: iron deficiency anemia; Hb: hemoglobin.
Demographic, hematological and biochemical parameters of study participants.
Properties of selected hepcidin and ZPP/H cut-off values for iron deficiency anemia diagnosis.
Figure 2.Receiver operating characteristic curves for ferritin, hepcidin and ZPP/H. Pairwise comparison of area under ROC curves of hepcidin and ZPP/H with ferritin as a gold standard for IDA diagnosis in (A) children and in (B) women. As noted, the AUC is similar between the gold standard (ferritin) and either hepcidin or ZPP/H indicating the inherent ability of these two biomarker tests to discriminate between the non-anemic and IDA groups. ZPP: zinc protoporphyrin.