Literature DB >> 31844363

Can RBC Indices be Used as Screening Test for Beta-Thalassemia in Indian Antenatal Women?

Mayura Baliyan1, Manisha Kumar1, Anita Nangia2, Nupur Parakh3.   

Abstract

OBJECTIVE: To determine the appropriateness of using MCV/MCH as screening test for beta-thalassemia trait in the present population and also to find the most appropriate cutoff for optimum sensitivity of these indices.
METHODS: It was an analytical, observational and cross-sectional study. Complete blood count followed by high-performance liquid chromatography (HPLC) was performed. The MCV and MCH levels were noted in cases and controls.
RESULTS: Thalassemia trait was found in 66 out of 1300 antenatal women with anemia. The MCV and MCH were significantly low in cases (p = 0.0001). MCV had a better AUC (0.650) than MCH (0.635). The most suitable cutoff value of MCV was calculated as 72 fl (sensitivity-63.7%, specificity-68.3%, PPV-9.7%, LR-2.0) and that for MCH was 24 pg (sensitivity-63.6%, specificity-59.4%, PPV-7.7%, LR-1.5) using Youden's index. When MCH (cutoff of 28 pg) and MCV were combined (cutoff of 74 fl), the sensitivity and specificity were 95% and 16%, respectively.
CONCLUSION: The sensitivity and specificity of MCV and MCH alone had low detection rate when used in combination had high sensitivity but the specificity was low; therefore, HPLC should be the preferred screening test for beta-thalassemia in Indian women. © Federation of Obstetric & Gynecological Societies of India 2019.

Entities:  

Keywords:  Beta-thalassemia trait; Carrier testing; Microcytic anemia; RBC indices

Year:  2019        PMID: 31844363      PMCID: PMC6889085          DOI: 10.1007/s13224-019-01220-8

Source DB:  PubMed          Journal:  J Obstet Gynaecol India        ISSN: 0975-6434


  8 in total

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  8 in total
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4.  Role of Red Cell Indices in Screening for Beta Thalassemia Trait: an Assessment of the Individual Indices and Application of Machine Learning Algorithm.

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