scholarly journals Red Cell Distribution Width (RDW) and Hb% in the Detection of Iron Deficiency Anemia in Pregnant Women

2018 ◽  
Vol 9 (2) ◽  
pp. 137-141
Author(s):  
Gazi Sharmin Sultana ◽  
Syed Aminul Haque ◽  
Ayatunnesa ◽  
Md MA Muttalib ◽  
Md Quddusur Rahman

Background: Detection of iron deficiency early during pregnancy is essential for correct management. Red cell distribution width (RDW) is a new routine parameter in fully automated hematology analyzer that can give the idea of early iron deficiency before Hb%. This study was aimed to see the role of red cell distribution width and Hb% in determining early iron deficiency in pregnant women.Methods: In this study 190 pregnant women were included. CBC including Hb% and RDW and iron profile were done. RDW were compared with Hb% in various stages of iron deficiency.Results: RDW was more significant than Hb level in latent iron deficiency when Hb level was normal (p<0.05). In mild and moderate iron deficiency anemia, RDW was increased progressively though Hb level was reduced. In this study RDW had sensitivity 82.3% and specificity 97.4%. Whereas Hb level had sensitivity 56.6% and specificity 90.9% for iron deficiency.Conclusion: Latent iron deficiency without other complicating disease could be screened out early by increased RDW when Hb% was normal.Anwer Khan Modern Medical College Journal Vol. 9, No. 2: Jul 2018, P 137-141

1970 ◽  
Vol 37 (3) ◽  
pp. 102-105 ◽  
Author(s):  
GS Sultana ◽  
SA Haque ◽  
T Sultana ◽  
Q Rahman ◽  
ANN Ahmed

Iron deficiency anemia is common problem during pregnancy. Red cell size variation (anisocytosis) is the earliest morphologic changes in iron deficiency anemia. Red cell distribution width is a quantitative measure of red cell size variation and it can give the idea of early iron deficiency before other test to become positive.190 pregnant women were included in this study. Red cell distribution width was compared between iron deficient & non-iron deficient pregnant women. Red cell distribution width also compared with Hb level, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration and peripheral blood film in prelatent iron deficiency, latent iron deficiency, mild and moderate iron deficiency anemia. Red cell distribution width had sensitivity 82.3% and specificity 97.4%. Whereas Hb level, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration and peripheral blood film all had 56.6%, 29.2%, 68.1%, 15% and 38.9% sensitivity but specificity was 90.9%, 98.7%, 83.1%, 96.1% and 98.7% in the detection of iron deficiency. Red cell distribution width appears to be a reliable and useful parameter for detection of iron deficiency during pregnancy. DOI: http://dx.doi.org/10.3329/bmrcb.v37i3.9122 BMRCB 2011; 37(3): 102-105


2021 ◽  
Vol 20 (3) ◽  
pp. 156-157
Author(s):  
Bijan Keikhaei ◽  
Mohammad Bahadoram ◽  
Mohammad-Reza Mahmoudian-Sani ◽  
Sara Bahadoram

Iron deficiency anemia (IDA) and thalassemia minor are the most common hypochromic microcytic anemias in the world. Different formulas have been proposed to differentiate IDA from beta thalassemia minor. However, yet no formula has been proposed to differentiate IDA from alpha thalassemia minor, and Hb electrophoresis is not helpful in this hemoglobinopathy. Red cell distribution width (RDW) as indicator of changes in red blood cell size is primarily employed to differentiate IDA from other microcytic anemias. An empirical approach involving iron therapy over 1 month has shown that an increase in Hb concentration by 1 g/dL over this period is indicative of IDA, while no changes in Hb concentration are suggestive of alpha thalassemia. RDW measured after iron therapy in order to differentiate IDA and related disorders from alpha thalassemia is a better index than an increased reticulocyte count. Due to the high prevalence of IDA and costly and time-consuming nature of specific diagnostic tests, the RDW index is considered as a very sensitive and cost-effective tool in the differential diagnosis of IDA.


2018 ◽  
Vol 7 (4) ◽  
pp. 444-447
Author(s):  
Vaddatti Tejeswini ◽  
◽  
P. Premalatha ◽  
Chaitra B. ◽  
I.V. Renuka ◽  
...  

2019 ◽  
Vol 11 (3) ◽  
pp. 154-157
Author(s):  
Divya Nagaram ◽  
◽  
Shahista Choudhary ◽  
Sampat Kumar ◽  
◽  
...  

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