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Erythrocyte Indices to Differentiate Iron Deficiency Anemia from ? Trait Thalassemia
Oleh:
Salim, Yohanes
;
Sukartini, Ninik
;
Setiawati, Arini
Jenis:
Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi:
Indonesian Journal of Clinical Pathology and Medical Laboratory vol. 23 no. 01 (Nov. 2016)
,
page 50-55.
Topik:
Iron Deficiency anemia
;
ß Trait Thalassemia
;
Mentzer
;
Green-King
;
Sirdah
Fulltext:
I01 v23 n1 p50 kelik2017.pdf
(292.79KB)
Ketersediaan
Perpustakaan FK
Nomor Panggil:
I01.K
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
Iron deficiency anemia and ß trait thalassemia are the most common causes of microcytic hypochromic anemia in Indonesia. Differentiation between them is difficult when solely based on a hematologic examination; additional laboratory tests are required such as ferritin and hemoglobin analysis. However, not all laboratories can perform these tests. Many erythrocytes indices have been proposed to determine whether a blood sample is more suggestive for iron deficiency anemia or trait thalassemia. Unfortunately these indices have different diagnostic values in many countries and there is no data yet about the diagnostic value in Indonesia. This study performed diagnostic tests for Mentzer, RDW, Green-King and Sirdah Indices and developed a new cut-off point that could make a better diagnostic value. This study consisted of 98 subjects of iron deficiency anemia and 80 subjects of ß trait thalassemia. Diagnostic values of Mentzer Index were sensitivity 83.6%, specificity 66.2%, PPV 75.2%, NPV 76.8%, while RDW Index had a sensitivity of 91.8%, specificity of 75%, PPV 81.8% and NPV 88.2%. Diagnostic values of Green-King Index were as follows, sensitivity 96.9%, specificity 67.5%, PPV 78.5%, NPV 94.7%, while diagnostic values of Sirdah Index showed a sensitivity of 92.8%, specificity of 58.7%, PPV 73.3% and NPV 87.0%. The new cut-off point of Mentzer, RDW, Green-King, and Sirdah Index were13.44, 233.4, 75.06 and 32.52, respectively. All indices can be applied for Indonesian people, among which Green-King Index had the best diagnostic value.
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