Validation of new indices for differentiation between iron deficiency anemia and beta thalessemia trait, a study in pregnant females

Authors

  • Sheetal Arora Department of Pathology, VMMC and Safdarjung Hospital, New Delhi, India
  • Deepshikha Rana Department of Pathology, ESIC Medical College, Faridabad, Haryana, India
  • Sachin Kolte Department of Pathology, VMMC and Safdarjung Hospital, New Delhi, India
  • Leelawathi Dawson Department of Pathology, VMMC and Safdarjung Hospital, New Delhi, India
  • Indrani Dhawan Department of Pathology, VMMC and Safdarjung Hospital, New Delhi, India

DOI:

https://doi.org/10.18203/issn.2454-2156.IntJSciRep20180394

Keywords:

Red blood cell indices, Microcytic hypochromic anaemias, Lower socio-economic class

Abstract

Background: The two most frequent types of microcytic hypochromic anemia in developing countries are beta thalassemia trait (????-TT) and iron deficiency anemia (IDA). Several indices using blood cell count parameters have been suggested to differentiate between two. In this study we evaluated the reliability of three indices.

Methods: The present cross-sectional study was carried out in 300 pregnant females in third trimester. Out of these, 90 microcytic hypochromic females were selected. Mentzers index, red cell distribution width index and Matos and Carvalho index (MCI) were calculated from the regular 3-part analyser haematological parameters.  

Results: The Mentzer index was the most reliable index, as it had the highest sensitivity (97.62%), specificity (66.67%), and Youden’s index (64%) for detecting Iron deficiency anaemia; the Matos and Carvalho Index showed higher sensitivity (98.81%)but a much lower specificity (33.3%) and Youden’s index (32%) while the red cell distribution width index showed the sensitivity and specificity of 92.86% and 66.67%, respectively with Youden’s index of 59%.

Conclusions: The Mentzer index provided the highest reliabilities for differentiating IDA from ????-TT. The new indices have high sensitivities and positive predictive value for identifying IDA, making them useful for screening population at risk. 

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Author Biography

Sheetal Arora, Department of Pathology, VMMC and Safdarjung Hospital, New Delhi, India

Assistant Professor

Department Of Pathology

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Published

2018-01-29

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Original Research Articles