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Comparing prevalence of Iron Deficiency Anemia and Beta Thalassemia Trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening
BACKGROUND: The prevalence of microcytosis in donors and Iron Deficiency Anemia (IDA) and Beta-Thalassemia trait (BTT) in microcytic and non-microcytic donors has not been studied in India. The present study aims at finding the same. MATERIALS AND METHODS: Initially 925 donor samples were evaluated...
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Formato: | Texto |
Lenguaje: | English |
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Medknow Publications
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2920481/ https://www.ncbi.nlm.nih.gov/pubmed/20808655 http://dx.doi.org/10.4103/0973-6247.53883 |
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author | Tiwari, Aseem K. Chandola, Iva |
author_facet | Tiwari, Aseem K. Chandola, Iva |
author_sort | Tiwari, Aseem K. |
collection | PubMed |
description | BACKGROUND: The prevalence of microcytosis in donors and Iron Deficiency Anemia (IDA) and Beta-Thalassemia trait (BTT) in microcytic and non-microcytic donors has not been studied in India. The present study aims at finding the same. MATERIALS AND METHODS: Initially 925 donor samples were evaluated on cell-counter. Of these, 50 were found to be microcytic. These were subjected to Ferritin and HbA2 determination. Subsequently, an additional 51, age-and-sex matched non-microcytic donor samples were selected to serve as controls. These were subjected to the same tests. RESULTS: The prevalence of microcytosis was 5.4% (50/925). Among the microcytic donors, 52% were IDA, 36% BTT, 8% both, and 4% none. In case of non-microcytic donors 29.4% were IDA, 3.9% BTT, and 66.7% none. CONCLUSIONS: The study revealed a high prevalence of IDA and BTT in blood donors and a higher probability of finding these in the microcytic samples. This prompted authors to suggest an algorithm for screening of blood donors for IDA and BTT. The algorithm recommends doing an hemogram on all donor samples, routinely. Ferritin could be done only in microcytic samples. At levels lower than15 ng/ml, it is diagnosed as IDA, and therefore, HPLC is performed only for non-IDA samples with Ferritin levels higher than 15 ng/ml. By employing this algorithm, a substantial number of IDA and BTT could be diagnosed while keeping the number of Ferritin tests small and the number of HPLC tests even smaller and thus making it cost efficient. |
format | Text |
id | pubmed-2920481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Medknow Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-29204812010-08-31 Comparing prevalence of Iron Deficiency Anemia and Beta Thalassemia Trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening Tiwari, Aseem K. Chandola, Iva Asian J Transfus Sci Original Article BACKGROUND: The prevalence of microcytosis in donors and Iron Deficiency Anemia (IDA) and Beta-Thalassemia trait (BTT) in microcytic and non-microcytic donors has not been studied in India. The present study aims at finding the same. MATERIALS AND METHODS: Initially 925 donor samples were evaluated on cell-counter. Of these, 50 were found to be microcytic. These were subjected to Ferritin and HbA2 determination. Subsequently, an additional 51, age-and-sex matched non-microcytic donor samples were selected to serve as controls. These were subjected to the same tests. RESULTS: The prevalence of microcytosis was 5.4% (50/925). Among the microcytic donors, 52% were IDA, 36% BTT, 8% both, and 4% none. In case of non-microcytic donors 29.4% were IDA, 3.9% BTT, and 66.7% none. CONCLUSIONS: The study revealed a high prevalence of IDA and BTT in blood donors and a higher probability of finding these in the microcytic samples. This prompted authors to suggest an algorithm for screening of blood donors for IDA and BTT. The algorithm recommends doing an hemogram on all donor samples, routinely. Ferritin could be done only in microcytic samples. At levels lower than15 ng/ml, it is diagnosed as IDA, and therefore, HPLC is performed only for non-IDA samples with Ferritin levels higher than 15 ng/ml. By employing this algorithm, a substantial number of IDA and BTT could be diagnosed while keeping the number of Ferritin tests small and the number of HPLC tests even smaller and thus making it cost efficient. Medknow Publications 2009-07 /pmc/articles/PMC2920481/ /pubmed/20808655 http://dx.doi.org/10.4103/0973-6247.53883 Text en © Asian Journal of Transfusion Science http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Tiwari, Aseem K. Chandola, Iva Comparing prevalence of Iron Deficiency Anemia and Beta Thalassemia Trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening |
title | Comparing prevalence of Iron Deficiency Anemia and Beta Thalassemia Trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening |
title_full | Comparing prevalence of Iron Deficiency Anemia and Beta Thalassemia Trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening |
title_fullStr | Comparing prevalence of Iron Deficiency Anemia and Beta Thalassemia Trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening |
title_full_unstemmed | Comparing prevalence of Iron Deficiency Anemia and Beta Thalassemia Trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening |
title_short | Comparing prevalence of Iron Deficiency Anemia and Beta Thalassemia Trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening |
title_sort | comparing prevalence of iron deficiency anemia and beta thalassemia trait in microcytic and non-microcytic blood donors: suggested algorithm for donor screening |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2920481/ https://www.ncbi.nlm.nih.gov/pubmed/20808655 http://dx.doi.org/10.4103/0973-6247.53883 |
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