Literature DB >> 24385778

Clinical significance of reticulocyte hemoglobin content in the diagnosis of iron deficiency anemia.

Mustafa Karagülle1, Eren Gündüz1, Fezan Sahin Mutlu2, Meltem Olga Akay1.   

Abstract

OBJECTIVE: The aim of this study was to evaluate the clinical significance of reticulocyte hemoglobin content (CHr) in the diagnosis of iron deficiency anemia (IDA) and to compare it with other conventional iron parameters.
MATERIALS AND METHODS: A total of 32 female patients with IDA (serum hemoglobin <120 g/L and serum ferritin <20 ng/ mL) and 18 female patients with iron deficiency (serum hemoglobin > 120 g/L and serum ferritin <20 ng/mL) were enrolled.
RESULTS: CHr was 24.95±3.92 pg in female patients with IDA and 29.93±2.96 pg in female patients with iron deficiency. CHr showed a significant positive correlation with hemoglobin, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, serum iron, and transferrin saturation and a significant negative correlation with transferrin and total iron-binding capacity. The cut-off value of CHr for detecting IDA was 29 pg.
CONCLUSION: Our data demonstrate that CHr is a useful parameter that can be confidently used in the diagnosis of IDA, and a CHr cut-off value of 29 pg predicts IDA. CONFLICT OF INTEREST: None declared.

Entities:  

Keywords:  Iron deficiency anemia; Reticulocyte hemoglobin content; diagnosis

Year:  2013        PMID: 24385778      PMCID: PMC3878462          DOI: 10.4274/Tjh.2012.0107

Source DB:  PubMed          Journal:  Turk J Haematol        ISSN: 1300-7777            Impact factor:   1.831


INTRODUCTION

Iron deficiency anemia (IDA) is the most common form of nutritional anemia worldwide [1]. Various biochemical parameters are used to diagnose IDA, including ferritin, transferrin saturation (TS), serum iron, and mean corpuscular volume (MCV). Despite the availability of these parameters, their validity for the diagnosis of IDA is still debatable. Serum ferritin, the most specific indicator of iron deficiency, is an acute phase reactant and its level is affected by inflammation. TS fluctuates due to the diurnal variation of serum iron, and serum iron levels decrease with infection, inflammation, and malignancy and increase with liver disease [2]. Reticulocytes are the youngest erythrocytes released from the bone marrow into the blood and they circulate for 1-2 days before becoming mature erythrocytes. The reticulocytes’ hemoglobin content reflects the amount of iron available for hemoglobin production in the bone marrow. Therefore, reticulocyte hemoglobin content (CHr) has been proposed as an iron status marker [3]. Several studies have indicated that CHr measurement in peripheral blood samples is useful for diagnosis of iron deficiency [4,5,6,7,8]. It has been shown to be an accurate measure of iron status and a reliable iron marker for monitoring iron therapy’s effectiveness [3,9]. In this study, we aimed to evaluate the significance of CHr in the diagnosis of IDA and compare it with other conventional iron parameters.

MATERIALS AND METHODS

Patients The study was conducted at Eskişehir Osmangazi University, Faculty of Medicine, Department of Hematology. After obtaining the approval of the ethics committee and informed consent, 32 female patients with IDA (serum hemoglobin <120 g/L and serum ferritin <20 ng/mL) and 18 female patients with iron deficiency (serum hemoglobin >120 g/L and serum ferritin <20 ng/mL) were enrolled. Sample Collection and Laboratory Methods Samples for complete blood count and CHr were collected in K3EDTA tubes and analyzed with an automated hematology analyzer, ADVIA 2120i (Siemens, New York, USA). Serum iron and total iron-binding capacity (TIBC) were measured with a LISA 500 Plus automated chemical analyzer (Hycell Diagnostics, Paris, France). Serum ferritin was measured with a Hitachi E170 automated analyzer (Hitachi, Tokyo, Japan). TS was calculated by dividing serum iron by TIBCx100. Transferrin was measured with a BN II automated chemical analyzer (Siemens, Marburg, Germany). Statistical Analysis Data were analyzed using IBM SPSS 20. The independent samples t-test was applied for normally distributed variables and results were given as mean ± standard deviation. The Mann-Whitney U test was applied for abnormally distributed variables and results were given as median (quartiles) values. Receiver operating characteristic (ROC) curve analysis was performed to identify the optimal CHr cut-off value for predicting IDA. P<0.05 was accepted as significant.

RESULTS

There was no statistically significant difference between the 2 groups in terms of age and red blood cell (RBC) count. Hemoglobin, MCV, mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), serum iron, and TS were significantly lower in female patients with IDA in respect to iron-deficient female patients. Transferrin and TIBC were significantly higher in female patients with IDA compared to female patients with iron deficiency. CHr was 24.95±3.92 pg in the IDA group and 29.93±2.96 pg in the iron deficiency group, and a statistically significant difference was observed between the 2 groups in respect to CHr (Table 1).
Table 1

Hematologic and iron parameters in iron deficiency anemia group and iron deficiency group.

CHr showed a significant positive correlation with hemoglobin (r=0.775), MCV (r=0.868), MCH (r=0.883), MCHC (r=0.685), serum iron (r=0.648), and TS (r=0.764) and a significant negative correlation with transferrin (r=-0.599) and TIBC (r=-0.613). A cut-off value of CHr was determined as 29.3 pg (90.6% sensitivity, 66.7% specificity) by ROC analysis in female patients with IDA anemia (Figure 1). Power analysis of CHr was calculated as 1, which was perfect (NCCS 2007, PASS 2005, and GESS 2006).
Figure 1

The ROC curve analysis for CHr.

DISCUSSION

Various biochemical parameters are being used for the diagnosis of IDA. However, there might be some difficulties in the assessment of these conventional parameters. For example, ferritin behaves as an acute phase reactant, which limits its diagnostic accuracy greatly. The serum ferritin level is frequently increased independently of iron status by factors such as acute/chronic inflammation, infection, malignancy, liver disease, and alcohol use. Serum iron levels also decrease with infection, inflammation, and malignancy and increase with liver disease. TS is a calculated parameter, and therefore it reflects confounding effects on individual components [2]. Measurement of CHr provides an indirect measure of the functional iron available for new RBC production. In a study performed by Mast et al., it was reported that CHr of <28 pg had an optimal sensitivity (74%) and specificity (73%) for diagnosis of iron deficiency, using Prussian blue staining of the bone marrow aspirate to define iron deficiency. In this study, the area under the curve of CHr exceeded that of ferritin, TS, and MCV, showing that CHr is a useful marker for diagnosis of iron deficiency in adults [4]. Several studies have assessed the value of CHr as an indicator of iron deficiency in dialysis patients. In a recent study by Thomas et al., functional iron deficiency was defined as CHr < 28 pg [10]. Fishbane et al. also reported that CHr of <28 pg predicted iron deficiency more accurately than did serum ferritin and TS in dialysis patients receiving erythropoietin [2]. Mitsuiki et al. reported that a CHr index for iron deficiency with 100% high sensitivity was 32 pg [11]. In another study, a CHr cut-off value of 32 pg was found to be appropriate for the assessment of iron deficiency in hemodialysis patients, in which an ethnic effect on CHr levels was considered to explain the higher cut-off [3]. In our study, a CHr cut-off value of 29 pg with 90.6% sensitivity and 66.7% specificity was determined to predict IDA. With the present investigation, we have identified the value of CHr in the diagnosis of IDA. CHr showed the strongest correlation with hemoglobin, MCV, MCH, and TS with r>0.7, which was considered meaningful. Therefore, CHr in conjunction with these conventional parameters appears to be useful and reliable in identifying IDA. In conclusion, besides the current conventional parameters that we use in routine practice to diagnose IDA, there is still a need for more sensitive and powerful parameters. CHr is a useful parameter that can be confidently used in the diagnosis of IDA, and a CHr cut-off value of 29 pg predicts IDA. Conflict of Interest Statement The authors of this paper have no conflicts of interest, including specific financial interests, relationships, and/or affiliations relevant to the subject matter or materials included.
  11 in total

1.  Guidelines for the management of iron deficiency anaemia. British Society of Gastroenterology.

Authors:  A F Goddard; A S McIntyre; B B Scott
Journal:  Gut       Date:  2000-06       Impact factor: 23.059

2.  Reticulocyte hemoglobin content in the evaluation of iron status of hemodialysis patients.

Authors:  S Fishbane; C Galgano; R C Langley; W Canfield; J K Maesaka
Journal:  Kidney Int       Date:  1997-07       Impact factor: 10.612

3.  Reticulocyte hemoglobin content to diagnose iron deficiency in children.

Authors:  C Brugnara; D Zurakowski; J DiCanzio; T Boyd; O Platt
Journal:  JAMA       Date:  1999-06-16       Impact factor: 56.272

4.  Clinical utility of the reticulocyte hemoglobin content in the diagnosis of iron deficiency.

Authors:  Alan E Mast; Morey A Blinder; Qing Lu; Sherri Flax; Dennis J Dietzen
Journal:  Blood       Date:  2002-02-15       Impact factor: 22.113

5.  Reticulocyte hemoglobin content in hemodialysis patients with acute infection.

Authors:  Koji Mitsuiki; Atsumi Harada; Yasuji Miyata
Journal:  Clin Exp Nephrol       Date:  2004-09       Impact factor: 2.801

Review 6.  Iron deficiency and erythropoiesis: new diagnostic approaches.

Authors:  Carlo Brugnara
Journal:  Clin Chem       Date:  2003-10       Impact factor: 8.327

7.  Early prediction of response to intravenous iron supplementation by reticulocyte haemoglobin content and high-fluorescence reticulocyte count in haemodialysis patients.

Authors:  Chiao-Lin Chuang; Ren-Shyan Liu; Yau-Huei Wei; Tung-Po Huang; Der-Cherng Tarng
Journal:  Nephrol Dial Transplant       Date:  2003-02       Impact factor: 5.992

8.  Biochemical markers and hematologic indices in the diagnosis of functional iron deficiency.

Authors:  Christian Thomas; Lothar Thomas
Journal:  Clin Chem       Date:  2002-07       Impact factor: 8.327

9.  Evaluation of reticulocyte haemoglobin content as marker of iron deficiency and predictor of response to intravenous iron in haemodialysis patients.

Authors:  J M Kim; C H Ihm; H J Kim
Journal:  Int J Lab Hematol       Date:  2008-02       Impact factor: 2.877

10.  Measurement of reticulocyte hemoglobin content to diagnose iron deficiency in Saudi children.

Authors:  Ahmad Fayez Bakr; Gale Sarette
Journal:  Eur J Pediatr       Date:  2006-03-07       Impact factor: 3.183

View more
  5 in total

1.  3D printed auto-mixing chip enables rapid smartphone diagnosis of anemia.

Authors:  Kimberly Plevniak; Matthew Campbell; Timothy Myers; Abby Hodges; Mei He
Journal:  Biomicrofluidics       Date:  2016-10-05       Impact factor: 2.800

2.  Evaluation of the Efficiency of the Reticulocyte Hemoglobin Content on Diagnosis for Iron Deficiency Anemia in Chinese Adults.

Authors:  Jie Cai; Meng Wu; Jie Ren; Yali Du; Zhangbiao Long; Guoxun Li; Bing Han; Lichen Yang
Journal:  Nutrients       Date:  2017-05-02       Impact factor: 5.717

3.  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.

Authors:  Nhan Hieu Dinh; Suzanne Monivong Cheanh Beaupha; Loan Thi Anh Tran
Journal:  BMC Nephrol       Date:  2020-04-22       Impact factor: 2.388

4.  The effect of reticulocyte hemoglobin content on the diagnosis of iron deficiency anemia: A meta-analysis study.

Authors:  Merve Kılıç; Aysel Özpınar; Mustafa Serteser; Meltem Kilercik; Muhittin Serdar
Journal:  J Med Biochem       Date:  2022-02-02       Impact factor: 3.402

5.  Iron Metabolism in Field Hockey Players During an Annual Training Cycle.

Authors:  Tomasz Podgórski; Jakub Kryściak; Jan Konarski; Katarzyna Domaszewska; Krzysztof Durkalec-Michalski; Ryszard Strzelczyk; Maciej Pawlak
Journal:  J Hum Kinet       Date:  2015-10-14       Impact factor: 2.193

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.