Anaemias due to Impaired Red Cell Production

Kawthalkar, Shirish

doi:10.5005/jp/books/10277_3

Cited by 1 publication

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“…6,7 Mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH) do not change in latent iron deficiency until the storage iron is completely depleted. 8 Serum ferritin (SF) on the other hand, has a direct correlation with the storage iron and is commonly employed for the diagnosis of iron deficiency and iron overload. The normal range for SF is between 15-300 ug/L, 8 with 1ug/L of SF representing about 8-10mg of storage iron.…”

Section: Introductionmentioning

confidence: 99%

“…8 Serum ferritin (SF) on the other hand, has a direct correlation with the storage iron and is commonly employed for the diagnosis of iron deficiency and iron overload. The normal range for SF is between 15-300 ug/L, 8 with 1ug/L of SF representing about 8-10mg of storage iron. 8 Values less than 12ug/L have been suggested to strongly indicate lack of storage iron.…”

Section: Introductionmentioning

confidence: 99%

“…The normal range for SF is between 15-300 ug/L, 8 with 1ug/L of SF representing about 8-10mg of storage iron. 8 Values less than 12ug/L have been suggested to strongly indicate lack of storage iron. 9 However, the World Health Organization (WHO) recommends using a cutoff of <15 ug/L.…”

Section: Introductionmentioning

confidence: 99%

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A comparative study on selected iron status assessment assays among secondary school students in Bauchi State, Nigeria

Dachi¹,

Awwalu²,

Waziri³

et al. 2018

Ann Afr Med Res

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Iron deficiency anemia (IDA) is the most common form of anemia worldwide, with highest burden in developing countries. The assays used in detecting iron deficiency comprise of red blood cell indices such as Mean Corpuscular Hemoglobin and Mean Corpuscular Volume, serum ferritin, soluble transferrin receptor (STfR) and STfRL-index. Each of these assessment tools has its drawback(s). This study was conducted to assess IDA diagnostic inter-rater agreements between red cell indices, serum ferritin, STfR and STfLF-Index. A cross sectional descriptive study using systematic random sampling of eligible secondary school students in Misau LGA, Bauchi State, Nigeria. Complete Blood Count with cellular indices, serum ferritin and STfR assays were conducted. Data was analyzed using SPSS version 23.0. Proportions were compared using Z-tests of proportions. Cohen’s Un-weighted kappa analyses were used to assess pairwise agreements in the ability of STfLF-Index, serum ferritin, STfR and red cell indices to classify participants into IDA and non-IDA. Level of significance was set at P≤0.05. A total of 210 participants were enrolled in the study with females constituting 153 (72.9%). STfLF-Index, STfR, serum ferritin levels and red cell indices revealed that 130/210 (61.9%), 160/210(76.2%), 7/210 (3.3%) and 112/210 (53.3%) respectively had iron deficiency. STfR revealed a significantly higher percentage of students with iron deficiency compared to serum ferritin, STfLF-Index and red cell indices. Assessment of iron deficiency showed concurrence between STfR and STfLF-Index. STfR and STfLF-Index have similar ability in classifying iron status.

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Section: Introductionmentioning

confidence: 99%