• Users Online: 273
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 


 
 Table of Contents  
ORIGINAL ARTICLE
Year : 2016  |  Volume : 5  |  Issue : 2  |  Page : 183-186

Comparative behavior of red blood cells indices in iron deficiency anemia and β-thalassemia trait


Department of Hematopathology, Central Public Health Laboratory, Baghdad, Iraq

Date of Submission14-Oct-2016
Date of Acceptance24-Oct-2016
Date of Web Publication11-Jan-2017

Correspondence Address:
Abdulbasit Nsief Jassim
Central Public Health Laboratory, Baghdad
Iraq
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2072-8069.198129

Rights and Permissions
  Abstract 

Background: β-thalassemia trait (β-TT) is an important differential diagnosis of iron deficiency anemia (IDA). It is important to distinguish between the above conditions to avoid unnecessary iron therapy. IDA and β-TT are the two most common causes of microcytic hypochromic anemia. Red blood cells (RBCs) indices are a simple, easy, and cost-effective method to get a primary and valuable information regarding the diagnosis of IDA and β-TT.
Objectives: This study was focused on the comparison of RBC indices behavior: hemoglobin (Hb), hematocrit (Hct), RBC count, mean cell volume (MCV), mean cell hemoglobin (MCH), MCH concentration (MCHC), and red cell distribution width (RDW) in IDA and β-TT.
Patients and Methods: Fifty subjects with IDA (12 males and 38 females, age range: 18-65 years) and fifty subjects with β-TT (twenty male and thirty females with age range: 17-66 years) were chosen. Both groups were investigated for RBC indices by automated hematology analyzer.
Results: RBC count, Hb, and Hct were significantly lower with (P < 0.001) in IDA subjects than in β-TT subjects. MCH and MCHC were significantly lower with (P = 0.01 and 0.001, respectively) in IDA subjects than in β-TT subjects. RDW was significantly higher with (P < 0.001) in IDA subjects than in β-TT subjects. There is no significant difference with (P = 0.2) regarding MCV between IDA subjects and β-TT subjects.
Conclusion: The study showed that RBC count, Hb, Hct, MCH, and MCHC were significantly lower in IDA subjects than in β-TT subjects, whereas RDW was significantly higher in IDA subjects than in β-TT subjects. There was no significant difference regarding MCV between IDA subjects and β-TT subjects.

Keywords: Iron deficiency, red blood cell indices, β-thalassemia


How to cite this article:
Jassim AN. Comparative behavior of red blood cells indices in iron deficiency anemia and β-thalassemia trait. Iraqi J Hematol 2016;5:183-6

How to cite this URL:
Jassim AN. Comparative behavior of red blood cells indices in iron deficiency anemia and β-thalassemia trait. Iraqi J Hematol [serial online] 2016 [cited 2023 Mar 22];5:183-6. Available from: https://www.ijhonline.org/text.asp?2016/5/2/183/198129

Anemia is considered a public health problem in developing countries, and it has been estimated that 2 billion people suffer from anemia worldwide. About 75% of one million deaths a year in Africa and South Asia is caused by anemia. The underlying causes of anemia are many, varied and preventable, such as nutritional deficiencies, infections, and hemoglobin (Hb) disorder. [1]

Anemia may be defined as a reduction in the concentration of Hb which leads to reduced oxygen carriage and delivery that leads to symptoms such as shortness of breath, exertion, tiredness, headache, or angina if anemia is severe of rapid onset and in elderly. [2],[3]

The anemia of iron deficiency (IDA) may occur as a result of an iron-deficient diet, intestinal iron malabsorption, and chronic blood loss due to many factors like hemorrhage or hemoglobinuria because of intravascular hemolysis. [4],[5]

Thalassemias are defined as a heterogeneous group of genetic disorders of Hb synthesis due to the reduction of one or more of the globin chains production. [6] Thalassemia is a growing global public health problem as it was expected that about 900,000 births of clinically significant thalassemia disorders will occur in the next 20 years. [7] It is estimated that about 1.5% of world population are carriers of the associated genetic mutation. [8],[9]

It is so important to differentiate between IDA and β-thalassemia trait (β-TT) avoid unnecessary iron therapy as an iron treatment is indicated in IDA and contraindicated β-TT. [10] A definitive differential diagnosis between β-TT and IDA is based on the result of HbA2 percentage, serum iron, and ferritin concentration. Electronic cell counters have been used to determine red cells indices as the first indicator of β-TT. The use of indices to detect subjects who have a high probability to reduce unnecessary investigating costs. [11]

The modern hematology laboratory uses the automated blood cells analysis as a rapid, cost-effective and accurate analysis of red cell indices which have an important diagnostic utility. Most of these analyzers measure the red blood cell (RBC) count, the mean cell volume (MCV), and Hb concentration. The other indices such as the hematocrit (Hct), mean cell hemoglobin (MCH), and MCH concentration (MCHC) are derived from the primary measurements. [12]

The MCV is either directly measured by the instrument, or it is calculated by certain formula. The red cell distribution width (RDW) is calculated as standard deviation (SD) of RBC or as a coefficient of variation. [13] In the last four decades, many formulas based on results of indices have been proposed to differentiate between β-TT and IDA. [14] These include Shine and Lab Index, Ehans formula, Sirdah formula. [8]

This study will not focus on the above formula as it is designed to compare the RBC indices of IDA subjects with those of β-TT subjects to have detailed information about the behavior of the RBC indices in the above two different conditions.


  Patient and Methods Top


This is a retrospective study which carried out at Hematology Department, Central Public Health Laboratory. From referral cases to Hematology Laboratory for evaluation of anemia and for checkup, fifty subjects who diagnosed as IDA (12 males and 38 females with age range: 18-65 years) and fifty subjects (twenty male and thirty females with age range: 17-66 years) who diagnosed as β-TT were selected.

Both two groups were investigated by automated hematology analyzer (model: MEK-6410K, Nihon series - Japan). The IDA was diagnosed by measuring the serum iron and serum total iron binding capacity concentrations using colorimetric method (Randox - UK). The β-TT was diagnosed by a high performance liquid chromatography technique using Hb Testing System (Variant I, BioRad - USA).

Statistical analysis

The Student's t-test was used for statistical tests. Results were expressed as the mean ± SD and considered statistically significant when the value of P < 0.05.


  Results Top


As shown in [Table 1] the age in both IDA subjects and β-TT was limited to adult population. [Table 2] and [Table 3] show the mean and SD for both IDA and beta-thalassemia minor, respectively. [Table 4] shows a comparison between IDA and beta thalassemia in regards to RBC count, Hb level, and Hct which is more decrease on the side of iron deficiency. [Table 5] compares between MCH and MCHC level in iron deficient subjects and in β-TT subjects in which both indices were slightly higher in beta-thalassemia that IDA with a significant P value. RDW was significantly higher in IDA subjects than in β-TT subjects as shown in [Table 6] whereas [Table 7] shows that MCV in iron deficient subjects less than that in β-TT subjects.
Table 1: Age and sex distribution in iron deficient subjects and in β-thalassemia trait subjects

Click here to view
Table 2: Serum iron and total iron binding capacity levels in subjects with iron deficiency anemia

Click here to view
Table 3: Hemoglobin A2 level in subjects with β-thalassemia trait

Click here to view
Table 4: Red blood cell count, hemoglobin level and hematocrit in iron deficient subjects and in β-thalassemia trait subjects

Click here to view
Table 5: Mean cell hemoglobin and mean cell hemoglobin concentration level in iron deficient subjects and in β-thalassemia trait subjects

Click here to view
Table 6: Red cell distribution width in iron deficient subjects and in β-thalassemia trait subjects

Click here to view
Table 7: Mean cell volume in iron deficient subjects and in β-thalassemia trait subjects

Click here to view



  Discussion Top


As shown in [Table 1], the age in both IDA subjects and β-TT was limited to the adult population. This limitation was done as studies revealed that indices generally performed better in adults than in children. [15]

Regarding female predominance in IDA, subjects are shown in [Table 1]. Studies documented that IDA is more common in adult female. [16] Blood loss is the most common cause of IDA in adults, and the loss is usually from the genital tract in women [17] also it was reported that women are significantly more exposed to IDA than men and IDA has been observed in girls ten times more than boys. [18]

Highest RBC count was observed in β-TT [Table 4]. The RBC count is often in the high to normal range with β-TT. [19],[20],[21],[22] This increment is related to the disease pathophysiology as excess globin chain that precipitate in erythroid precursors and circulating RBC leads to a discrete inefficacious erythropoiesis, resulting in increased RBC production trying to compensate for anemia. [20]

Hb and Hct as shown in [Table 4] were higher in β-TT subjects. Same results were reported. [21],[22] Most patients with β-TT have mild anemia (Hb level is rarely >9.3 g/dl). This may be explained by the mechanism associated with thalassemia minor. [20]

RDW was significantly higher in IDA subjects than in β-TT subjects [Table 6] and that agrees with other studies. [21],[22],[23],[24] In β-TT, almost all RBC are microcytic because deficient synthesis of globin chains resulting from thalassemia mutations expresses itself in all of the RBC precursors. Consequently, RDW values are relatively constant. [24] IDA is progressive rather than stable and if the patient suffers from chronic blood loss and have MCV of 75 fl, later on with continuous loss may have MCV of 65 fl. Furthermore, IDA per se leads to abnormal erythropoiesis those results in increased variation in shape and size: Poikilocytosis and anisocytosis. [23]

MCH and MCHC show conflict results with other studies between agreement [22] and disagreement. [21] The same conflict was found for MCV results between agree [24] and disagree. [21],[22] This can be due to the fact that β-thalassemia shows remarkable phenotypic variability and the molecular basis for this diversity is partly understood. [6]


  Conclusion Top


The study showed that RBC count, Hb, Hct, MCH, and MCHC were significantly lower in IDA subjects than in β-TT subjects, whereas RDW was significantly higher in IDA subjects than in β-TT subjects. There was no significant difference regarding MCV between IDA subjects and β-TT subjects.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

 
  References Top

1.
Kayode O, Adeola O, Oladunjooge A. Anemia in developing countries: Burden and prospects of prevention and control. In: Silverberg D, editor. Anemia. 1 st ed. Croatia: InTech-Open; 2012. p. 115-6.  Back to cited text no. 1
    
2.
Mehta AB, Hoffbrand AV. Haematology at a Glance. 4 th ed. UK: Wiley Black Well; 2014. p. 25-6.  Back to cited text no. 2
    
3.
Bekele A, Tilahun M, Mekuria A. Prevalence of Anemia and Its Associated Factors among Pregnant Women Attending Antenatal Care in Health Institutions of Arba Minch Town, Gamo Gofa Zone, Ethiopia: A cross-sectional study. Anemia 2016;2016:1073192.  Back to cited text no. 3
    
4.
Hudnall SD. Hematology: A Pathophysiologic Approach. 1 st ed.. USA: Mosby Elsevier; 2012. p. 18-9.  Back to cited text no. 4
    
5.
Hatton CS, Jones NC, Hay D, Keeling D. Haematology Lecture Notes. 9 th ed. UK: Wiley Black Well; 2013. p. 15-6.  Back to cited text no. 5
    
6.
Weatherall DJ. Haemoglobin and the inherited disorders of globin synthesis. In: Hoffbrand AV, Catovsky D, Tuddenham EG, editors. Postgraduate Haematology. 5 th ed. UK: Blackwell Publishing; 2005. p. 88-9.  Back to cited text no. 6
    
7.
Turgeon ML. Clinical Hematology Theory and Procedures. 5 th ed. USA: Lippincott Williams and Wilkins; 2012. p. 220-1.  Back to cited text no. 7
    
8.
Bordbar E, Taghipour M, Zucconi BE. Reliability of different RBC indices and formulas in discriminating between ß-thalassemia minor and other microcytic hypochromic cases. Mediterr J Hematol Infect Dis 2015;7:e2015022.  Back to cited text no. 8
    
9.
Soliman AR, Kamal G, Elsalakawy A, Mohamed TH. Blood indices to differentiate between β-thalassemia trait and iron deficiency anemia in adult healthy Egyptian blood donors. Egypt J Haematol 2014;39:91-2.  Back to cited text no. 9
  [Full text]  
10.
Massey AC. Microcytic anemia. Differential diagnosis and management of iron deficiency anemia. Med Clin North Am 1992;76:549-66.  Back to cited text no. 10
    
11.
Vehapoglu A, Ozgurhan G, Demir AD, Uzuner S, Nursoy MA, Turkmen S, et al. Hematological indices for differential diagnosis of Beta thalassemia trait and iron deficiency anemia. Anemia 2014;2014:576738.  Back to cited text no. 11
    
12.
Kaushansky K, Lichtman M, Kipps T, Seligsohn U, Prchal J. Williams Hematology. 8 th ed. USA: The McGraw-Hill; 2010. p. 34-8.  Back to cited text no. 12
    
13.
Ciesla B. Haematology in Practice. 1 st ed. USA: F.A. Davis Company; 2007. p. 46-7.  Back to cited text no. 13
    
14.
Niazi M, Tahirm M, Raziq F. Usefulness of red cell indices in differentiating microcytic hypochromic anemias. Gomal J Med Sci 2010;8:125-6.  Back to cited text no. 14
    
15.
Hoffmann J, Urrechaga E, Aguirre U. Discriminant indices for distinguishing thalassemia and iron deficiency in patients with microcytic anemia: A meta-analysis. Clin Chem Lab 2015;53:1883-94.  Back to cited text no. 15
    
16.
Thomas C, Thomas L. Biochemical markers and hematologic indices in the diagnosis of functional iron deficiency. Clin Chem 2002;48:1066-76.  Back to cited text no. 16
    
17.
Hoffbrand VA, Worwood M. Iron metabolism, iron deficiency and disorders of haem synthesis. In: Hoffbrand VA, Catovsky D, Tuddenham E, editors. Postgraduate Haematology. 5 th ed. UK: Blackwell Publishing; 2005. p. 36-7.  Back to cited text no. 17
    
18.
Abrishami F, Golshan A. Frequency of iron deficiency anemia in girls studying in Mashhad high schools. Iran J Ped Hematol Oncol 2013;3:143-8.  Back to cited text no. 18
    
19.
Van Vranken M. Evaluation of microcytosis. Am Fam Physician 2010;82:1117-22.  Back to cited text no. 19
    
20.
Matos JF, Borges G, Fernandes AS, Faria JR, Carvalho MG. RDW as differential parameter between microcytic anemias in "pure" and concomitant forms. J Bras Patol Med Lab 2015;51:22-27.  Back to cited text no. 20
    
21.
Miri-Moghaddam E, Sargolzaie N. Cut off determination of discrimination indices in differential diagnosis between iron deficiency anemia and ß- thalassemia minor. Int J Hematol Oncol Stem Cell Res 2014;8:27-32.  Back to cited text no. 21
    
22.
Dhara TP, Harsh SA. Discriminant functions in distinguishing beta thalassemia trait and iron deficiency anemia: The value of RDW-SD. Internet J Hematol 2010;7:1-6.  Back to cited text no. 22
    
23.
Bessman JD, Feinstein DI. Quantitative anisocytosis as a discriminant between iron deficiency and thalassemia minor. Blood 1979;53:288-93.  Back to cited text no. 23
    
24.
Aslan D, Gümrük F, Gürgey A, Altay C. Importance of RDW value in differential diagnosis of hypochrome anemias. Am J Hematol 2002;69:31-3.  Back to cited text no. 24
    



 
 
    Tables

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7]



 

Top
 
 
  Search
 
Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

 
  In this article
Abstract
Patient and Methods
Results
Discussion
Conclusion
References
Article Tables

 Article Access Statistics
    Viewed6518    
    Printed341    
    Emailed0    
    PDF Downloaded565    
    Comments [Add]    

Recommend this journal


[TAG2]
[TAG3]
[TAG4]