<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJNeph</journal-id><journal-title-group><journal-title>Open Journal of Nephrology</journal-title></journal-title-group><issn pub-type="epub">2164-2842</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojneph.2021.114045</article-id><article-id pub-id-type="publisher-id">OJNeph-114421</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Evaluation of Reticulocyte Hemoglobin Content and Serum Neutrophil Gelatinase-Associated Lipocalin as Predictive Biomarkers of Anemia in Children on Hemodialysis
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Heba</surname><given-names>Ahmed Donia</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Manal</surname><given-names>Abdel El-Salam</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gehad</surname><given-names>Nabil Mohammed</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Doaa</surname><given-names>Aly Abd Elfattah</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Clinical Pathology Department, Faculty of Medicine (for Girls), Al-Azhar University, Cairo, Egypt</addr-line></aff><aff id="aff1"><addr-line>Pediatrics Department, Faculty of Medicine (for Girls), Al-Azhar University, Cairo, Egypt</addr-line></aff><pub-date pub-type="epub"><day>28</day><month>10</month><year>2021</year></pub-date><volume>11</volume><issue>04</issue><fpage>523</fpage><lpage>537</lpage><history><date date-type="received"><day>27,</day>	<month>November</month>	<year>2021</year></date><date date-type="rev-recd"><day>28,</day>	<month>December</month>	<year>2021</year>	</date><date date-type="accepted"><day>31,</day>	<month>December</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Diagnosis of iron deficiency anemia with currently available tests is rendered difficult in hemodialysis patients. 
  The aim: To investigate the role of reticulocyte Hemoglobin Content (CHr) in the diagnosis of iron deficiency anemia in hemodialysis children in comparison to the used traditional markers and assess the impressiveness and the utility of Neutrophil Gelatinase Associated Lipocalin (NGAL) as a novel biomarker of iron status in those patients. 
  Methods: This study investigated CHr in addition to NGAL serum level in the same line with traditional markers for anemia, including: CBC, serum iron, ferritin, total iron-binding capacity (TIBC), and transferrin saturation (TSAT%). 
  Results: It is more significant that CHr content in hemodialysis children is lower than their controls as they are (27.06 &#177; 2.90) pg and (32.86 &#177; 3.59) pg, respectively, p = 0.01. There is no significant difference regarding NGAL between the study groups. Significant negative correlation between CHr with ferritin, urea, creatinine, and positively correlated with iron and RBCS. CHr showed a sensitivity of 90% and specificity of 86.67% to detect iron-deficiency anemia with a cut-off value of 27 pg. 
  Conclusion: CHr is superior to ferritin and TSAT % for the early diagnosis of iron deficiency anemia in hemodialysis children; our results do not support NGAL as a marker of anemia in hemodialysis patients.
 
</p></abstract><kwd-group><kwd>Children</kwd><kwd> Hemodialysis</kwd><kwd> Reticulocyte Hemoglobin Content</kwd><kwd> Neutrophil Gelatinase-Associated Lipocalin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Anemia is a common complication of advanced chronic kidney disease (CKD), with a prevalence exceeding 87% in children with CKD stages 4 and 5 (Hayes, 2019) [<xref ref-type="bibr" rid="scirp.114421-ref1">1</xref>].</p><p>Young patients with chronic kidney disease CKD, especially those on hemodialysis (HD), experience marked alterations in iron balance and tissue distribution because of reduced iron absorption, increased iron losses, and impaired mobilization of iron from stores (Wish et al., 2018) [<xref ref-type="bibr" rid="scirp.114421-ref2">2</xref>].</p><p>Iron deficiency is common in patients on chronic hemodialysis, and most require iron-replacement therapy. In addition to absolute iron deficiency, many patients have functional iron deficiency as shown by a suboptimal response to the use of erythropoietin stimulating agents (ESAs) (Pandey and Daloul, 2016) [<xref ref-type="bibr" rid="scirp.114421-ref3">3</xref>].</p><p>The traditional biomarkers used for the diagnosis of iron-deficiency anemia (IDA) in patients with CKD have limitations, leading to persistent challenges in the detection and monitoring of IDA in these patients (Batchelor and Kapitsinou, 2020) [<xref ref-type="bibr" rid="scirp.114421-ref4">4</xref>].</p><p>The reticulocytes last only 24 to 48 h in the circulation before developing into mature red blood cells. During the initial stage of iron deficiency, insufficient iron supply would cause a decline of hemoglobin production in reticulocytes in the bone marrow, which can be detected through CHr (Dinh and Cheanh, 2020) [<xref ref-type="bibr" rid="scirp.114421-ref5">5</xref>].</p><p>Soluble transferrin receptor, serum iron, serum ferritin, and transferrin saturation are frequently affected by inflammation, chronic diseases, and in the normal aging process (except soluble transferrin receptor) (Gelaw and Melku, 2019) [<xref ref-type="bibr" rid="scirp.114421-ref6">6</xref>].</p><p>CHr has a high specificity for not being affected by inflammation, and also exhibits a low coefficient of variation. Compared with the traumatic bone marrow biopsy used for the evaluation of iron status, CHr is relatively cheap, convenient, and less invasive, because only several milliliters of peripheral blood are needed to get CHr data (Cai et al., 2017) [<xref ref-type="bibr" rid="scirp.114421-ref7">7</xref>].</p><p>Neutrophil gelatinase-associated lipocalin (NGAL) also known as lipocalin 2, siderocalin or 24p3) is a 25 kDa glycosylated protein from the lipocalin family (Karur and Batra, 2012) [<xref ref-type="bibr" rid="scirp.114421-ref8">8</xref>].</p><p>NGAL is produced and secreted by kidney tubule cells at low levels, but the amount produced and secreted into the urine and serum increases dramatically after ischemic, septic, or nephrotoxic injury of the kidneys (Tasanarong and Hutayanon, 2013) [<xref ref-type="bibr" rid="scirp.114421-ref9">9</xref>].</p><p>NGAL was recently proposed as a portentous early predictive biomarker for kidney injury (Rysz et al., 2017) [<xref ref-type="bibr" rid="scirp.114421-ref10">10</xref>].</p><p>NGAL was initially characterized as an antibacterial immune factor via the pocket’s ability to capture siderophores (such as bacterial enterochelin and mammalian endogenous catechols) that bind iron with high affinity, causing iron depletion and thus the inhibition of bacterial cell growth (Xiao and Yeoh, 2017) [<xref ref-type="bibr" rid="scirp.114421-ref11">11</xref>].</p><p>We aimed to investigate the role of CHr in the diagnosis of iron deficiency anemia in hemodialysis children in comparison to the used traditional markers and to assess the impressiveness and the utility of NGAL as a novel biomarker of iron status in children with CKD on regular hemodialysis.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>This case-control study was carried out on 60 children, 35 males and 25 females, aged from 6 to 16 years, selected from those attending the nephrology, hemodialysis unit, and the outpatient clinic of Al-Zahraa Hospital, Al-Azhar University. Informed consent was obtained from the participating parents in adherence to the ethical committee guidelines of Alzhraa hospital, AL-Azhar University, Cairo, Egypt. This study was conducted with the (nephrology and hemodialysis) unit, pediatric department, hematology unit, clinical pathology department, Alzhraa hospital, AL-Azhar University.</p><p>Children included in the study were divided into the following two groups:</p><p>Group I: patients group; 30 children (19 males and 11 females) with end-stage renal disease on regular hemodialysis who fulfill the criteria for definition and classification of CKD (KDIGO, 2020) [<xref ref-type="bibr" rid="scirp.114421-ref12">12</xref>] and attended the pediatric hemodialysis unit during the period of the study; they were on regular hemodialysis for more than three months at the time of the study, for 4 hours/setting, three times weekly, with low flux polysulphone dialyzer by 4008 Fresenius machine. They were subjected to whole history taking, including etiology, the onset of CKD, duration of hemodialysis, and laboratory investigations. The most common cause of chronic kidney disease was congenital (43.3%), followed by acquired (23.3%), hereditary causes (16.7%), and unknown (16.7%).</p><p>The patient’s group was divided into anemic and nonanemic groups according to the hemoglobin level &lt; 110 g/L (KDIGO, 2012; Cai et al., 2017) [<xref ref-type="bibr" rid="scirp.114421-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref13">13</xref>].</p><p>The anemic patient’s group was subdivided into two groups: absolute iron deficiency is defined when the transferrin saturation (TSAT) is ≤20% and the serum ferritin concentration is ≤100 ng/mL among predialysis and peritoneal dialysis patients or ≤200 ng/mL among hemodialysis patients. Functional iron deficiency is characterized by TSAT ≤ 20% and elevated ferritin levels ≥ 200 (Gafter-Gvili et al., 2019) [<xref ref-type="bibr" rid="scirp.114421-ref14">14</xref>]. Group II: controls group, 30 healthy children, matched age and sex with patients group. Children with hemoglobinopathies, hemolytic anemia, other acute or chronic diseases, and recent blood transfusion within the last three months were excluded from the study.</p><sec id="s2_1"><title>2.1. Sample Collection</title><p>Five ml of peripheral venous blood were withdrawn under complete aseptic condition from each subject. The first two ml were evacuated in an EDTA-containing tube for C.B.C. and measurement of reticulocyte hemoglobin content. The remaining three ml were evacuated in a plain tube and left to clot for 20 minutes at room temperature before centrifugation at 3000 pm. The serum was separated and divided into two parts; the first part was used for measurement of serum urea, creatinine, iron, total iron-binding capacity (TIBC), ferritin level, and C-reactive protein (C.R.P.), while the remaining part of the serum was frozen at -20C until the serum NGAL level analysis.</p><p>The complete blood count (C.B.C.) using the Cell dyne Ruby cell counter, Abbott (Germany). The reticulocyte hemoglobin content was measured using Sysmex XN 1000, Kobe, Japan. Serum urea, creatinine, iron, and total iron-binding capacity (TIBC) were measured using Cobas C311 and kits of Roche (Germany), followed by calculation of transferrin saturation as follows: transferrin saturation (%) = (serum iron/serum TIBC) &#215; 100. Serum ferritin level was measured using Cobas E411 and kits of Roche (Germany), C-reactive protein (C.R.P.) level were measured using turbidimetric method (BioSystems, lot 19420). According to the manufacturer’s instructions, the concentration of NGAL was measured by ELISA using a quantitative double-antibody sandwich ELISA kit (Bioassay Technology Laboratory, China, Cat. No. E1719Hu). Its level was expressed as ng/ml.</p></sec><sec id="s2_2"><title>2.2. Statistical Analysis</title><p>Data were collected, revised, coded, and entered the Statistical Package for the Social Science version 20 (I.B.M. Corp., Armonk, NY, U.S.A.). Spearman correlation coefficients were used to assess the correlation between two studied parameters in the same group. The Receiver Operating Characteristic (R.O.C.) curve assessed the best cutoff point with sensitivity and specificity. Interpretation of probability values was as follows: p &gt; 0.05: non-significant; p &lt; 0.05: significant.</p></sec></sec><sec id="s3"><title>3. Results</title><p><xref ref-type="table" rid="table1">Table 1</xref> shows a comparison between dialysis children and healthy controls regarding demographic data, anthropometric measurements, blood pressure, and laboratory data; it revealed: a significant decrease in weight and height z score in dialysis children compared to their controls. The patient’s group had high blood pressure as expected. There is a significant decrease in WBC, R.B.C.s, Hb, and platelets in dialysis children; meanwhile, there is a significant increase in serum urea, creatinine, and C.R.P. in the dialysis group than in their controls.</p><p><xref ref-type="table" rid="table2">Table 2</xref> shows a comparison between dialysis children and healthy controls regarding iron status parameters, CHr and NGAL. It revealed a significant decrease in the serum iron, TIBC, and CHr meanwhile, there is a significant increase in the serum ferritin and TSAT% in the dialysis group compared to their controls; meanwhile there is no significant difference regarding NGAL serum level among the study groups.</p><p><xref ref-type="table" rid="table3">Table 3</xref> shows a comparison between functional iron deficiency (FID) and iron deficiency anemia (I.D.A.) regarding laboratory data among dialysis patients. It shows a significant decrease in R.B.C., Hb, Hct%, creat, C.R.P., CHr, iron, and ferritin, while there is a significant increase in TSAT% in the iron-deficiency anemia (I.D.A.) compared to functional iron deficiency (FID) group.</p><p><xref ref-type="table" rid="table4">Table 4</xref> shows a correlation between ferritin &amp; TSAT% and CHr with the study clinical and laboratory data shows a significant negative correlation between ferritin</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Comparison between the patient’s group and the controls regarding age, anthropometric measurements, and laboratory data</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Group I Cases group (No = 30)</th><th align="center" valign="middle" >Group II Control group (No = 30)</th><th align="center" valign="middle" >Test value</th><th align="center" valign="middle" >P-value</th></tr></thead><tr><td align="center" valign="middle" >Age (yrs)</td><td align="center" valign="middle" >12.05 &#177; 3.17</td><td align="center" valign="middle" >12.05 &#177; 3.17</td><td align="center" valign="middle" >0.000<sup>a</sup></td><td align="center" valign="middle" >1.000</td></tr><tr><td align="center" valign="middle" >Z score: Weight (kg)</td><td align="center" valign="middle" >−0.69 (−1.04 - 0.26)</td><td align="center" valign="middle" >0.42 (−0.06 - 0.74)</td><td align="center" valign="middle" >3.013<sup>c</sup></td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >Z score: Height (cm)</td><td align="center" valign="middle" >−0.33 (−0.78 - 0.06)</td><td align="center" valign="middle" >0.20 (−0.36 - 1.10)</td><td align="center" valign="middle" >2.813<sup>c</sup></td><td align="center" valign="middle" >0.005</td></tr><tr><td align="center" valign="middle" >Z score: BMI</td><td align="center" valign="middle" >−0.36 (−0.89 - 0.28)</td><td align="center" valign="middle" >0.54 (−0.44 - 1.29)</td><td align="center" valign="middle" >2.063<sup>c</sup></td><td align="center" valign="middle" >0.039</td></tr><tr><td align="center" valign="middle" >SBP (mmHg)</td><td align="center" valign="middle" >127.0 &#177; 22.0</td><td align="center" valign="middle" >109.0 &#177; 8.03</td><td align="center" valign="middle" >4.210<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >DBP (mmHg)</td><td align="center" valign="middle" >84.67 &#177; 16.55</td><td align="center" valign="middle" >73.0 &#177; 5.35</td><td align="center" valign="middle" >3.673<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >WBCs (&#215;10<sup>3</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >6.19 &#177; 1.81</td><td align="center" valign="middle" >7.65 &#177; 1.26</td><td align="center" valign="middle" >−3.645<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >RBCs (10<sup>6</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >3.76 &#177; 0.77</td><td align="center" valign="middle" >4.47 &#177; 0.26</td><td align="center" valign="middle" >−4.804<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Hb (g/dl)</td><td align="center" valign="middle" >10.14 &#177; 2.01</td><td align="center" valign="middle" >11.98 &#177; 0.49</td><td align="center" valign="middle" >−4.843<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Hct (%)</td><td align="center" valign="middle" >32.50 &#177; 6.76</td><td align="center" valign="middle" >39.42 &#177; 1.60</td><td align="center" valign="middle" >−5.451<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >MCV (fL)</td><td align="center" valign="middle" >84.60 &#177; 11.20</td><td align="center" valign="middle" >85.90 &#177; 5.31</td><td align="center" valign="middle" >−0.576<sup>b</sup></td><td align="center" valign="middle" >0.567</td></tr><tr><td align="center" valign="middle" >Platelets (&#215;10<sup>3</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >204.27 &#177; 62.89</td><td align="center" valign="middle" >248.17 &#177; 52.74</td><td align="center" valign="middle" >−2.930<sup>b</sup></td><td align="center" valign="middle" >0.005</td></tr><tr><td align="center" valign="middle" >Urea (mg/dl)</td><td align="center" valign="middle" >161.00 &#177; 51.70</td><td align="center" valign="middle" >25.33 &#177; 6.47</td><td align="center" valign="middle" >14.262<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Creat (mg/dl)</td><td align="center" valign="middle" >8.02 &#177; 2.43</td><td align="center" valign="middle" >0.44 &#177; 0.14</td><td align="center" valign="middle" >17.064<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >CRP (mg/l)</td><td align="center" valign="middle" >16 (13 - 19)</td><td align="center" valign="middle" >3 (2 - 4)</td><td align="center" valign="middle" >−6.663<sup>c</sup></td><td align="center" valign="middle" >0.001</td></tr></tbody></table></table-wrap><p>P-value &lt; 0.05: significant; <sup>a</sup>Chi-square test; <sup>b</sup>Independent t-test; <sup>c</sup>Mann-Whitney test.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison between the patient’s group and the controls regarding iron status parameters, CHr levels, and serum NGAL</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Group I Cases group (No = 30)</th><th align="center" valign="middle" >Group II Control group (No = 30)</th><th align="center" valign="middle" >Test value</th><th align="center" valign="middle" >P-value</th></tr></thead><tr><td align="center" valign="middle" >Iron (μg/dl)</td><td align="center" valign="middle" >92 (40 - 160)</td><td align="center" valign="middle" >105.5 (91 - 113)</td><td align="center" valign="middle" >−0.769<sup>b</sup></td><td align="center" valign="middle" >0.026</td></tr><tr><td align="center" valign="middle" >Ferritin (μg/l)</td><td align="center" valign="middle" >1634 (400 - 2000)</td><td align="center" valign="middle" >145 (139 - 156)</td><td align="center" valign="middle" >4.411<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >TIBC (μg /dl)</td><td align="center" valign="middle" >207 (171 - 261)</td><td align="center" valign="middle" >320 (308 - 367)</td><td align="center" valign="middle" >−4.882<sup>b</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >TSAT %</td><td align="center" valign="middle" >43.1 (18.81 - 70.36)</td><td align="center" valign="middle" >30.46(28.81 - 37.58)</td><td align="center" valign="middle" >−2.099<sup>b</sup></td><td align="center" valign="middle" >0.036</td></tr><tr><td align="center" valign="middle" >CHr (pg)</td><td align="center" valign="middle" >27.06 &#177; 2.90</td><td align="center" valign="middle" >32.86 &#177; 3.59</td><td align="center" valign="middle" >−6.890<sup>a</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >NGAL (ng/ml)</td><td align="center" valign="middle" >2.73 (1.61 - 4.6)</td><td align="center" valign="middle" >3.22 (1.09 - 18.5)</td><td align="center" valign="middle" >−0.076<sup>b</sup></td><td align="center" valign="middle" >0.829</td></tr></tbody></table></table-wrap><p>P-value &lt; 0.05: significant; <sup>a</sup>Independent t-test; <sup>b</sup>Mann-Whitney test.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Comparison between functional iron deficiency (FID) and iron deficiency anemia regarding laboratory data</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >FDA (No = 18)</th><th align="center" valign="middle" >IDA (No = 6)</th><th align="center" valign="middle" >Test value</th><th align="center" valign="middle" >P-value</th></tr></thead><tr><td align="center" valign="middle" >WBCs (&#215;10<sup>3</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >6.14 &#177; 1.76</td><td align="center" valign="middle" >5.33 &#177; 1.42</td><td align="center" valign="middle" >1.009<sup>a</sup></td><td align="center" valign="middle" >0.324</td></tr><tr><td align="center" valign="middle" >RBCs (10<sup>6</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >4.53 &#177; 0.80</td><td align="center" valign="middle" >3.40 &#177; 0.49</td><td align="center" valign="middle" >−4.178<sup>a</sup></td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Hb (g/dl)</td><td align="center" valign="middle" >11.50 &#177; 1.84</td><td align="center" valign="middle" >9.08 &#177; 1.22</td><td align="center" valign="middle" >−3.700<sup>a</sup></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Hct (%)</td><td align="center" valign="middle" >36.18 &#177; 8.15</td><td align="center" valign="middle" >29.74 &#177; 4.65</td><td align="center" valign="middle" >−2.421<sup>a</sup></td><td align="center" valign="middle" >0.024</td></tr><tr><td align="center" valign="middle" >MCV (fL)</td><td align="center" valign="middle" >90.02 &#177; 5.48</td><td align="center" valign="middle" >83.43 &#177; 5.11</td><td align="center" valign="middle" >−2.688<sup>a</sup></td><td align="center" valign="middle" >0.013</td></tr><tr><td align="center" valign="middle" >PLAT (&#215;10<sup>3</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >225.50 &#177; 111.21</td><td align="center" valign="middle" >191.17 &#177; 31.99</td><td align="center" valign="middle" >−1.214<sup>a</sup></td><td align="center" valign="middle" >0.238</td></tr><tr><td align="center" valign="middle" >Urea (mg/dl)</td><td align="center" valign="middle" >178.44 &#177; 56.01</td><td align="center" valign="middle" >136.17 &#177; 36.15</td><td align="center" valign="middle" >1.719<sup>a</sup></td><td align="center" valign="middle" >0.100</td></tr><tr><td align="center" valign="middle" >Creat (mg/dl)</td><td align="center" valign="middle" >8.71 &#177; 2.34</td><td align="center" valign="middle" >6.03 &#177; 0.69</td><td align="center" valign="middle" >2.722<sup>a</sup></td><td align="center" valign="middle" >0.012</td></tr><tr><td align="center" valign="middle" >CRP (mg/l)</td><td align="center" valign="middle" >17 (16 - 21)</td><td align="center" valign="middle" >13 (11 - 13)</td><td align="center" valign="middle" >−2.519<sup>b</sup></td><td align="center" valign="middle" >0.012</td></tr><tr><td align="center" valign="middle" >Iron (μg/dl)</td><td align="center" valign="middle" >151 (108 - 182)</td><td align="center" valign="middle" >72 (38 - 132)</td><td align="center" valign="middle" >−1.901<sup>b</sup></td><td align="center" valign="middle" >0.057</td></tr><tr><td align="center" valign="middle" >Ferritin (μg/l)</td><td align="center" valign="middle" >2000 (1240.4 - 2000)</td><td align="center" valign="middle" >108.2 (105 - 109)</td><td align="center" valign="middle" >−3.848<sup>b</sup></td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >TIBC (μg/dl)</td><td align="center" valign="middle" >227 (180 - 318)</td><td align="center" valign="middle" >204.5 (138 - 207)</td><td align="center" valign="middle" >−1.135<sup>b</sup></td><td align="center" valign="middle" >0.256</td></tr><tr><td align="center" valign="middle" >TSAT %</td><td align="center" valign="middle" >19.17 (16.67 - 51.28)</td><td align="center" valign="middle" >68.5 (57.64 - 87.92)</td><td align="center" valign="middle" >−2.733<sup>b</sup></td><td align="center" valign="middle" >0.006</td></tr><tr><td align="center" valign="middle" >CHr (pg)</td><td align="center" valign="middle" >27.1 (27.0 - 27.2)</td><td align="center" valign="middle" >25.5 (22.5.1 - 26.6.)</td><td align="center" valign="middle" >−2.922<sup>b</sup></td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >NGAL (ng/ml)</td><td align="center" valign="middle" >2.65 (1.61 - 4.03)</td><td align="center" valign="middle" >2.43 (1.52 - 9.60)</td><td align="center" valign="middle" >0.367<sup>b</sup></td><td align="center" valign="middle" >0.714</td></tr></tbody></table></table-wrap><p><sup>a</sup>Independent t-test; <sup>b</sup>Mann-Whitney test.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Correlation of ferritin, TSAT%, and CHr with laboratory data</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle"  colspan="2"  >Ferritin (ug/l)</th><th align="center" valign="middle"  colspan="2"  >TSAT %</th><th align="center" valign="middle"  colspan="2"  >CHr (pg)</th></tr></thead><tr><td align="center" valign="middle" >r</td><td align="center" valign="middle" >P-value</td><td align="center" valign="middle" >r</td><td align="center" valign="middle" >P-value</td><td align="center" valign="middle" >r</td><td align="center" valign="middle" >P-value</td></tr><tr><td align="center" valign="middle" >Ferritin (μg/l)</td><td align="center" valign="middle" >–</td><td align="center" valign="middle" >–</td><td align="center" valign="middle" >−0.636**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >−0.603**</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >TSAT %</td><td align="center" valign="middle" >−0.636**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >–</td><td align="center" valign="middle" >–</td><td align="center" valign="middle" >−0.621**</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >CHr (pg)</td><td align="center" valign="middle" >−0.603**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >−0.621**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >–</td><td align="center" valign="middle" >–</td></tr><tr><td align="center" valign="middle" >NGAL (ng/ml)</td><td align="center" valign="middle" >0.110</td><td align="center" valign="middle" >0.564</td><td align="center" valign="middle" >0.054</td><td align="center" valign="middle" >0.777</td><td align="center" valign="middle" >0.031</td><td align="center" valign="middle" >0.869</td></tr><tr><td align="center" valign="middle" >WBCs (&#215;10<sup>3</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >−0.105</td><td align="center" valign="middle" >0.582</td><td align="center" valign="middle" >0.101</td><td align="center" valign="middle" >0.594</td><td align="center" valign="middle" >0.266</td><td align="center" valign="middle" >0.156</td></tr><tr><td align="center" valign="middle" >RBCs (10<sup>6</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >−0.482**</td><td align="center" valign="middle" >0.007</td><td align="center" valign="middle" >0.556**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.411*</td><td align="center" valign="middle" >0.024</td></tr><tr><td align="center" valign="middle" >Hb (g/dl)</td><td align="center" valign="middle" >−0.829**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.574**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.476**</td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >Hct (%)</td><td align="center" valign="middle" >−0.629**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.634**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.514**</td><td align="center" valign="middle" >0.004</td></tr><tr><td align="center" valign="middle" >MCV (fL)</td><td align="center" valign="middle" >−0.507**</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >0.425*</td><td align="center" valign="middle" >0.019</td><td align="center" valign="middle" >0.388*</td><td align="center" valign="middle" >0.034</td></tr><tr><td align="center" valign="middle" >Platelets (&#215;10<sup>3</sup>/mm<sup>3</sup>)</td><td align="center" valign="middle" >−0.026</td><td align="center" valign="middle" >0.891</td><td align="center" valign="middle" >0.344</td><td align="center" valign="middle" >0.063</td><td align="center" valign="middle" >0.306</td><td align="center" valign="middle" >0.100</td></tr><tr><td align="center" valign="middle" >Urea (mg/dl)</td><td align="center" valign="middle" >0.546**</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >−0.608**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >−0.451**</td><td align="center" valign="middle" >0.012</td></tr><tr><td align="center" valign="middle" >Creat (mg/dl)</td><td align="center" valign="middle" >0.706**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >−0.673**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >−0.472**</td><td align="center" valign="middle" >0.009</td></tr><tr><td align="center" valign="middle" >Iron (μg/dl)</td><td align="center" valign="middle" >−0.581**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.850**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.505**</td><td align="center" valign="middle" >0.004</td></tr><tr><td align="center" valign="middle" >TIBC (μg/dl)</td><td align="center" valign="middle" >0.192</td><td align="center" valign="middle" >0.309</td><td align="center" valign="middle" >−0.357</td><td align="center" valign="middle" >0.053</td><td align="center" valign="middle" >−0.352</td><td align="center" valign="middle" >0.056</td></tr><tr><td align="center" valign="middle" >CRP (mg/l)</td><td align="center" valign="middle" >0.740**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >−0.638**</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >−0.503**</td><td align="center" valign="middle" >0.005</td></tr></tbody></table></table-wrap><p>with TSAT %, CHr, RBCS, Hb, and its indices with significant positive correlation to urea, creat, and CRP. Meanwhile, CHr had a significant positive correlation with RBCs, Hb, and indices but negatively correlated with urea, creatinine, and CRP. The same table shows a significant positive correlation between TSAT% with RBCs, Hb, and its indices but shows a significant negative correlation with urea, creatinine, and CRP.</p><p><xref ref-type="table" rid="table5">Table 5</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref> demonstrate the specificity and sensitivity, positive and negative predictive values of the CHr, ferritin, and TSAT% levels to detect iron deficiency anemia in the patient’s group. The diagnostic performance of CHr, 90% sensitivity, and specificity 86.67% at cut off &lt; 27.2 pg, meanwhile the diagnostic performance of ferritin and TSAT % was 80.0%, sensitivity,96.67 specificities, 56.6%; sensitivity, and 776.67% specificity, respectively.</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref> demonstrates that children with anemia are 80.00% of the study patients on regular hemodialysis.</p><p><xref ref-type="fig" rid="fig3">Figure 3</xref> demonstrates that children with functional iron deficiency anemia are 75.00%, and iron deficiency anemia is 25.00% of the study patients group.</p><p><xref ref-type="fig" rid="fig4">Figure 4</xref> demonstrates a significant negative correlation between ferritin and Hb level, respectively.</p><p><xref ref-type="fig" rid="fig5">Figure 5</xref> demonstrates a significant negative correlation between ferritin and</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> The sensitivity, specificity positive and negative predictive values of ferritin, CHr and TSAT% for the diagnosis of iron deficiency anemia in hemodialysis childre</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Cut off point</th><th align="center" valign="middle" >AUC</th><th align="center" valign="middle" >Sensitivity/%</th><th align="center" valign="middle" >Specificity/%</th><th align="center" valign="middle" >+PV</th><th align="center" valign="middle" >−PV</th></tr></thead><tr><td align="center" valign="middle" >Ferritin (μg/l)</td><td align="center" valign="middle" >&gt;200</td><td align="center" valign="middle" >0.829</td><td align="center" valign="middle" >80.0</td><td align="center" valign="middle" >96.67</td><td align="center" valign="middle" >96.6</td><td align="center" valign="middle" >82.9</td></tr><tr><td align="center" valign="middle" >CHr (pg)</td><td align="center" valign="middle" >≤27.2</td><td align="center" valign="middle" >0.844</td><td align="center" valign="middle" >90.00</td><td align="center" valign="middle" >86.67</td><td align="center" valign="middle" >87.1</td><td align="center" valign="middle" >89.7</td></tr><tr><td align="center" valign="middle" >TSAT %</td><td align="center" valign="middle" >&gt;37.58</td><td align="center" valign="middle" >0.591</td><td align="center" valign="middle" >56.67</td><td align="center" valign="middle" >76.67</td><td align="center" valign="middle" >70.8</td><td align="center" valign="middle" >63.9</td></tr></tbody></table></table-wrap><p>CHr level.</p><p><xref ref-type="fig" rid="fig6">Figure 6</xref> demonstrates a significant negative correlation between ferritin and iron level.</p><p><xref ref-type="fig" rid="fig7">Figure 7</xref> demonstrates a significant positive correlation between ferritin and CRP level.</p><p><xref ref-type="fig" rid="fig8">Figure 8</xref> demonstrates a significant positive correlation between CHr and iron level.</p></sec><sec id="s4"><title>4. Discussion</title><p>It is essential to identify the status of anemia and iron deficiency and correct it</p><p>actively before correcting anemia to avoid unnecessary supplementation in hemodialysis children (Davidkova et al., 2016) [<xref ref-type="bibr" rid="scirp.114421-ref15">15</xref>].</p><p>The current study aimed to assess the CHr as a predictor of iron deficiency anemia in hemodialysis children and assess NGAL as a predictor of iron status in that group in addition to the traditional makers, iron, ferritin, TSAT% and TIBC. In the current study, we observed the high prevalence of anemia in the study patients group in 80% of the study cases, and cases with iron and functional anemia were 75% and 25%, respectively. Anemia is common in CKD, particularly in the hemodialysis patients (Dalimunthe et al., 2016) [<xref ref-type="bibr" rid="scirp.114421-ref16">16</xref>], other studies estimation of anemia was 15% in US CKD patients, 45% - 55% in Asian CKD patients, and 50% - 90% in African CKD patients (Stauffer and Fan, 2014; Ryu et al., 2017; Maina et al., 2016; Amoako et al., 2014; Ijoma et al., 2010) [<xref ref-type="bibr" rid="scirp.114421-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref21">21</xref>].</p><p>We found high ferritin, TSAT%, and low iron in the hemodialysis group; meanwhile, there is a significant low CHr content in the hemodialysis group despite the high serum ferritin. CHr estimate the Hb content of red blood cells rather than the amount of storage iron, providing a snapshot of recent iron availability for Hb synthesis; in addition, it acts as a sensitive indicator of functional iron deficiency and is possibly better than TSAT% and ferritin. CHr help in predicting whether or not there will be a response to iron administration despite serum ferritin and the TSAT% which are usually used (Yilmaz et al., 2011; Shani and Elise, 2013) [<xref ref-type="bibr" rid="scirp.114421-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref23">23</xref>].</p><p>The hemoglobin content of the reticulocytes measures iron supply to erythropoiesis and thus the quality of the cells (H&#246;nemann et al., 2021) [<xref ref-type="bibr" rid="scirp.114421-ref24">24</xref>].</p><p>Ferritin can even be increased in the presence of iron deficiency due to the impact of underlying inflammatory conditions, which result from several factors such as uremia, infections (Bahrainwala and Berns, 2016; Buttarello et al., 2016; Mehta et al., 2016) [<xref ref-type="bibr" rid="scirp.114421-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref27">27</xref>], making its interpretation difficult in patients with CKD (Atkinson and Warady, 2018; Davidkova et al., 2016; Gaweda, 2017) [<xref ref-type="bibr" rid="scirp.114421-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref29">29</xref>].</p><p>TSAT% are considered good indicators for iron deficiency. On the other hand, it can be influenced by the circadian variability of serum iron. The measurement of soluble transferrin receptor levels is part of a more detailed workup of complicated cases of anemia (H&#246;nemann et al., 2021) [<xref ref-type="bibr" rid="scirp.114421-ref24">24</xref>].</p><p>In the current study, findings agree with a study done in Vietnam by Dinh and Cheanh [<xref ref-type="bibr" rid="scirp.114421-ref5">5</xref>] which reported that CHr significantly decreased in children on hemodialysis compared with the control group, CHr significantly decreased in the IDA group and some of the FID group but not significant in all patients of FID. CHr is a good indication of iron availability of iron-deficient erythropoiesis (Gelaw et al., 2019; Gopesh and Modi, 2017) [<xref ref-type="bibr" rid="scirp.114421-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref30">30</xref>]. Also, our result agrees with Suari and Ariawati [<xref ref-type="bibr" rid="scirp.114421-ref31">31</xref>] who reported similar finding.</p><p>Also similar finding was reordered by Karag&#252;lle and G&#252;nd&#252;z (2013); Abdul Gafor and Subramaniam (2018) and Cai et al. (2017) [<xref ref-type="bibr" rid="scirp.114421-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref33">33</xref>].</p><p>By analyzing the current study results, we found a strong positive correlation between CHr level and RBCs, Hb, Hct%, MCV, and serum iron (Kariyawasan and Samarasekara, 2020) [<xref ref-type="bibr" rid="scirp.114421-ref34">34</xref>] reported similar findings. In addition, a significant negative correlation between CHr level and inflammatory markers, including serum ferritin and CRP, in addition to the uremic toxins, in contrast, serum ferritin had a strong negative correlation with RBCs, Hb, Hct%, MCV, but ferritin is positively correlated with uremic toxins and CRP that augment the role of CHr as a strong predictor of iron deficiency in hemodialysis patients.</p><p>Our study agrees with (Kariyawasan and Samarasekara, 2020) [<xref ref-type="bibr" rid="scirp.114421-ref34">34</xref>], who reported a positive correlation between CHr and serum iron and TSAT% level and hematological test that suggests CHr is the strong predictor in the diagnosis of iron deficiency anemia (IDA). TSAT% is not measured but derived from serum iron and total iron-binding capacity (TIBC) measurements. TIBC is a negative acute-phase reactant; that is, its plasma concentration is suppressed by inflammation. In the context of systemic inflammation, reductions in TIBC lead to higher levels of TSAT% independent of patients’ iron status. Therefore, inflammation is implicated in the poor reliability of TSAT% as a measure of iron status in CKD (Hayes, 2019) [<xref ref-type="bibr" rid="scirp.114421-ref1">1</xref>].</p><p>Hematocrit, serum ferritin, and unsaturated iron-binding capacity were significantly affected by inflammation, while reticulocyte hemoglobin content and other parameters were not (Cai et al., 2017) [<xref ref-type="bibr" rid="scirp.114421-ref7">7</xref>]. These findings explained that CHr is the strongest predictor for the diagnosis of IDA.</p><p>In our study, the diagnostic performance of CHr is 90% sensitivity and specificity 86.67% at cut off &lt; 27.2 pg for diagnosis of IDA of CKD on hemodialysis was comparable to ferritin and TSAT % their diagnostic performance is 80%, 50% sensitivity, and 96%, 70% specificity respectively, so CHr is the most robust marker for diagnosis of IDA in CKD on HD. Similar results were found by (Cai et al., 2017; Dignass et al., 2018; Kariyawasan and Samarasekara, 2020 and Suari and Ariawati, 2015) [<xref ref-type="bibr" rid="scirp.114421-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref35">35</xref>]. Other studies recorded that the cutoff point of CHr to diagnose absolute iron deficiency anemia in hemodialysis patients ranges from 27.2 pg to 33 pg (Davidkova et al., 2016; Dalimunthe and Lubis, 2016; Buttarello et al., 2010; Ogawa et al., 2020) [<xref ref-type="bibr" rid="scirp.114421-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.114421-ref36">36</xref>]. The use of different CHr cut-off values in different studies for discriminating iron deficiency anemia in both non-dialysis and dialysis populations has led to variations in the specificities and sensitivities as a marker of IDA.</p><p>There was no significant difference between the study cases and their controls regarding NGAL in the current study. In addition, there was no significant correlation with the study parameters that include hematological parameters, which suggests NGAL has no role in the diagnosis of IDA on the patient of CKD on regular hemodialysis. Our result, in agreement with Kim et al. (2018) [<xref ref-type="bibr" rid="scirp.114421-ref37">37</xref>], suggests that NGAL confirms acute kidney injury diagnosis but does not diagnose IDA in CKD on regular hemodialysis.</p><p>Our result disagrees with (Ismail et al., 2015) [<xref ref-type="bibr" rid="scirp.114421-ref38">38</xref>] that reported NGAL has a significant correlation with iron status and has a significant role in diagnosing IDA in CKD on hemodialysis.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Reticulocyte Hb content level is an early predictor of iron deficiency anemia in children on regular hemodialysis and is possibly better than TSAT% and ferritin in predicting the response to iron administration. Further studies on many children are required to confirm and determine the diagnostic implications of CHr and its relation to iron deficiency anemic patients on regular hemodialysis. Indeed from the current study results, NGAL seems unreliable in diagnosing iron deficiency anemia in CKD children on regular hemodialysis.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Donia, H.A., El-Salam, M.A., Mohammed, G.N. and Elfattah, D.A.A. (2021) Evaluation of Reticulocyte Hemoglobin Content and Serum Neutrophil Gelatinase-Associated Lipocalin as Predictive Biomarkers of Anemia in Children on Hemodialysis. Open Journal of Nephrology, 11, 523-537. https://doi.org/10.4236/ojneph.2021.114045</p></sec></body><back><ref-list><title>References</title><ref id="scirp.114421-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Hayes, W. (2019) Measurement of Iron Status in Chronic Kidney Disease. Pediatric Nephrology, 34, 605-613. https://doi.org/10.1007/s00467-018-3955-x</mixed-citation></ref><ref id="scirp.114421-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Wish, J.B., Aronoff, G.R., Bacon, B.R., Brugnara, C., Eckardt, K.U., Ganz, T., Macdougall, I.C., Nunez, J., Perahia, A.J. and Wood, J.C. (2018) Positive Iron Balance in Chronic Kidney Disease: How Much Is Too Much and How to Tell? American Journal of Nephrology, 47, 72-83. https://doi.org/10.1159/000486968</mixed-citation></ref><ref id="scirp.114421-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Pandey, R., Daloul, R. and Coyne, D.W. (2016) Iron Treatment Strategies in Dialysis-Dependent CKD. Seminars in Nephrology, 36, 105-111.https://doi.org/10.1016/j.semnephrol.2016.02.004</mixed-citation></ref><ref id="scirp.114421-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Batchelor, E.K., Kapitsinou, P., Pergola, P.E., Kovesdy, C.P. and Jalal, D.I. (2020) Iron Deficiency in Chronic Kidney Disease: Updates on Pathophysiology, Diagnosis, and Treatment. Journal of the American Society of Nephrology, 31, 456-468.https://doi.org/10.1681/ASN.2019020213</mixed-citation></ref><ref id="scirp.114421-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Dinh, N.H., Cheanh, B.S.M. and Tran, L.T. (2020) The Validity of Reticulocyte Hemoglobin Content and Percentage of Hypochromic Red Blood Cells for Screening Iron-Deficiency Anemia among Patients with End-Stage Renal Disease: A Retrospective Analysis. BMC Nephrology, 21, Article No. 142. https://doi.org/10.1186/s12882-020-01796-8</mixed-citation></ref><ref id="scirp.114421-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Gelaw, Y., Woldu, B. and Melku, M. (2019) The Role of Reticulocyte Hemoglobin Content for Diagnosis of Iron Deficiency and Iron Deficiency Anemia, and Monitoring of Iron Therapy: A Literature Review. Clinical Laboratory, 65, No. 12.</mixed-citation></ref><ref id="scirp.114421-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Cai, J., Wu, M., Ren, J., Du, Y.L., Long, Z.B., Li, G.X., Han, B. and Yang, L.C. (2017) Evaluation of the Efficiency of the Reticulocyte Hemoglobin Content on Diagnosis for Iron Deficiency Anemia in Chinese Adults. Nutrients, 9, Article No. 450.https://doi.org/10.3390/nu9050450</mixed-citation></ref><ref id="scirp.114421-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Karur, S. and Batra, S.K. (2012) The Multifaceted Roles of Neutrophil Gelatinase Associated Lipocalin (NGAL) in Inflammation and Cancer. Biochimica et Biophysica Acta (BBA)-Reviews on Cancer, 1826, 129-169. https://doi.org/10.1016/j.bbcan.2012.03.008</mixed-citation></ref><ref id="scirp.114421-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Tasanarong, A., Hutayanon, P. and Piyayotai, D. (2013) Urinary Neutrophil Gelatinase-Associated Lipocalin Predicts the Severity of contrast-Induced Acute Kidney Injury in Chronic Kidney Disease Patients Undergoing Elective Coronary Procedures. BMC Nephrology, 14, Article No. 270. https://doi.org/10.1186/1471-2369-14-270</mixed-citation></ref><ref id="scirp.114421-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Rysz, J., Gluba-Brzózka, A., Franczyk, B., Jablonowski, Z. and Cialkowska-Rysz, A. (2017) Novel Biomarkers in the Diagnosis of Chronic Kidney Disease and the Prediction of Its Outcome. International Journal of Molecular Sciences, 18, Article No. 1702. https://doi.org/10.3390/ijms18081702</mixed-citation></ref><ref id="scirp.114421-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Xiao, X., Yeoh, B.S., Saha, P., Olvera, R.A., Singh, V. and Vijay-Kumar, M. (2016) Lipocalin 2 Alleviates Iron Toxicity by Facilitating Hypoferremia of Inflammation and Limiting Catalytic Iron Generation. Biometals, 29, 451-465.https://doi.org/10.1007/s10534-016-9925-5</mixed-citation></ref><ref id="scirp.114421-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">KDIGO (2020) Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease. Kidney International, 98, S1-S115. https://doi.org/10.1016/j.kint.2020.06.019</mixed-citation></ref><ref id="scirp.114421-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">KDIGO (2012) Clinical Practice Guideline for Anemia in Chronic Kidney Disease. Kidney International, 2, 283-287.</mixed-citation></ref><ref id="scirp.114421-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Gafter-Gvili, A., Schechter, A. and Rozen-Zvi, B. (2019) Iron Deficiency Anemia in Chronic Kidney Disease. Acta Haematologica, 142, 44-50.https://doi.org/10.1159/000496492</mixed-citation></ref><ref id="scirp.114421-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Davidkova, S., Prestidge, T.D., Reed, P.W., Kara, T., et al. (2016) Comparison of Reticulocyte Hemoglobin Equivalent with Traditional Markers of Iron and Erythropoiesis in Pediatric Dialysis. Pediatric Nephrology, 31, 819-826.https://doi.org/10.1007/s00467-015-3284-2</mixed-citation></ref><ref id="scirp.114421-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Dalimunthe, N.N. and Lubis, A.R. (2016) Usefulness of Reticulocyte Hemoglobin Equivalent in Management of Regular Hemodialysis Patients with Iron Deficiency Anemia. Romanian Journal of Internal Medicine, 54, 31-46.https://doi.org/10.1515/rjim-2016-0003</mixed-citation></ref><ref id="scirp.114421-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Stauffer, M.E. and Fan, T. (2014) Prevalence of Anemia in Chronic Kidney Disease in the United States. PLoS ONE, 9, e84943. https://doi.org/10.1371/journal.pone.0084943</mixed-citation></ref><ref id="scirp.114421-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Ryu, S.R., Park, S.K., Jung, J.Y., et al. (2017) The Prevalence and Management of Anemia in Chronic Kidney Disease Patients: Result from the Korean Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD). Journal of Korean Medical Science, 32, 249-256.</mixed-citation></ref><ref id="scirp.114421-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Maina, C.K., Karimi, P.N., Mariita, K., Nyamu, D.G., Mugendi, G.A. and Opanga, S.A. (2016) Correlates and Management of Anemia of Chronic Kidney Disease in a Kenyan Tertiary Hospital. East African Medical Journal, 93, 489-499.</mixed-citation></ref><ref id="scirp.114421-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Amoako, Y.A., Laryea, D.O., Beddu-Addo, G., Andoh, H. and Awuku, Y.A. (2014) Clinical and Demographic Characteristics of Chronic Kidney Disease Patients in a Tertiary Facility in Ghana. The Pan African Medical Journal, 18, 274-284.</mixed-citation></ref><ref id="scirp.114421-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Ijoma, C., Ulasi, I., Ijoma, U. and Ifebunandu, N. (2010) High Prevalence of Anemia in Predialysis Patients in Egunu, Nigeria. Nephrology Research &amp; Reviews, 2, 61-65.https://doi.org/10.4081/nr.2010.e14</mixed-citation></ref><ref id="scirp.114421-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Yilmaz, M.I., Solak, Y., Covic, A., Goldsmith, D. and Kanbay, M. (2011) Renal Anemia of Inflammation: The Name Is Self-Explanatory. Blood Purification, 32, 220-225. https://doi.org/10.1159/000328037</mixed-citation></ref><ref id="scirp.114421-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Shani, L. and Elise, S. (2018) The Clinical Utility of New Reticulocyte and Erythrocyte Parameters on the Sysmex XN 9000 for Iron Deficiency in Pregnant Patients. International Journal of Laboratory Hematology, 40, 683-690.https://doi.org/10.1111/ijlh.12904</mixed-citation></ref><ref id="scirp.114421-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">H&amp;ouml;nemann, C., Hagemann, O., Doll, D., Luedi, M.M., Ruebsam, M.L. and Meybohm, P. (2021) Reticulocyte Haemoglobin as a Routine Parameter in Preoperative Iron Deficiency Assessment. Endocrinology and Metabolism, 5, Article No. 154.</mixed-citation></ref><ref id="scirp.114421-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Bahrainwala, J. and Berns, J.S. (2016) Diagnosis of Iron-Deficiency Anemia in Chronic Kidney Disease. Seminars in Nephrology, 36, 94-98.https://doi.org/10.1016/j.semnephrol.2016.02.002</mixed-citation></ref><ref id="scirp.114421-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Buttarello, M., Pajola, R., Novello, E., Rebeschini, M., et al. (2010) Diagnosis of Iron Deficiency in Patients Undergoing Hemodialysis. American Journal of Clinical Pathology, 133, 949-954. https://doi.org/10.1309/AJCPQAX0JFHFS0OA</mixed-citation></ref><ref id="scirp.114421-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Mehta, S., Goyal, L.K., Kaushik, D., Gulati, S., Sharma, N., et al. (2016) Reticulocyte Hemoglobin vis-a-vis Serum Ferritin as a Marker of Bone Marrow Iron Store in Iron Deficiency Anemia. Journal of the Association of Physicians of India, 64, 38-42.</mixed-citation></ref><ref id="scirp.114421-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Atkinson, M.A. and Warady, B.A. (2018) Anemia in Chronic Kidney Disease. Pediatric Nephrology, 33, 227-238. https://doi.org/10.1007/s00467-017-3663-y</mixed-citation></ref><ref id="scirp.114421-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Gaweda, A.E. (2017) Markers of Iron Status in Chronic Kidney Disease. Hemodialysis International, 21, S21-S27. https://doi.org/10.1111/hdi.12556</mixed-citation></ref><ref id="scirp.114421-ref30"><label>30</label><mixed-citation publication-type="book" xlink:type="simple">Modi, G.K. and Agarwal, R. (2017) Iron Use in End-Stage Renal Disease. In: Handbook of Dialysis Therapy, Elsevier, Chapter 51, 5th Ed., 576-587.</mixed-citation></ref><ref id="scirp.114421-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Suari, N.M., Ariawati, K. and Adiputra, N. (2015) Reticulocyte Hemoglobin Content as a Predictor of Iron Deficiency Anemia. Paediatrica Indonesiana, 55, 171-175.https://doi.org/10.14238/pi55.3.2015.171-5</mixed-citation></ref><ref id="scirp.114421-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Karagülle, M., Gündüz, E., Mutlu, F.S. and Akay, M.O. (2013) Clinical Significance of Reticulocyte Hemoglobin Content in the Diagnosis of Iron Deficiency Anemia. Turkish Journal of Hematology, 30, 153-156.</mixed-citation></ref><ref id="scirp.114421-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Abdul Gafor, A.H., Subramaniam, R., Hadi, F., Cader, R., Wei, Y.K., et al. (2018) The Role of Reticulocyte Hemoglobin Content in the Management of Iron Deficiency Anemia in Patients on Hemodialysis. Nephro-Urology Monthly, 10, e65629.https://doi.org/10.5812/numonthly.65629</mixed-citation></ref><ref id="scirp.114421-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Kariyawasan, C.C., Samarasekara, D.J.U.S., Vithanage, N., Dissanayake, D.M.C., Ranatunga, S.A.C.D. and Balasuriy, B.L.T. (2020) Evaluation of Reticulated Haemoglobin (CHr) as a Diagnostic Parameter in Iron Deficiency Anemia. European Journal of Medical and Health Sciences, 2, No. 4. https://doi.org/10.24018/ejmed.2020.2.4.342</mixed-citation></ref><ref id="scirp.114421-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Dignass, A., Farrag, K. and Stein, J. (2018) Limitations of Serum Ferritin in Diagnosing Iron Deficiency in Inflammatory Conditions. International Journal of Chronic Diseases, 2018, Article ID: 9394060. https://doi.org/10.1155/2018/9394060</mixed-citation></ref><ref id="scirp.114421-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Ogawa, C., Tsuchiya, K. and Maeda, K. (2020) Reticulocyte Hemoglobin Content. Clinica Chimica Acta, 504, 138-145. https://doi.org/10.1016/j.cca.2020.01.032</mixed-citation></ref><ref id="scirp.114421-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Kim, I.Y., Kim, J.H., Lee, D.W., Lee, S.B. and Rhee, H. (2018) Plasma Neutrophil Gelatinase-Associated Lipocalin Is Associated with Iron Status in Anemic Patients with Pre-Dialysis Chronic Kidney Disease. Clinical and Experimental Nephrology, 22, 28-34. https://doi.org/10.1007/s10157-017-1409-6</mixed-citation></ref><ref id="scirp.114421-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Ismail, M., Mohamed, M., Ramadan, A., Fathy, H., Zidan, A., et al. (2015) Neutrophil Gelatinase-Associated Lipocalin (NGAL) as a Biomarker of Iron Deficiency in Hemodialysis Patients. Austin Journal of Nephrology and Hypertension, 2, 4 p.</mixed-citation></ref></ref-list></back></article>