Morphologic Evaluation of Anemia I

Ademola, Adewoyin S.; Abiola, Ogbenna A.

doi:10.4172/0974-8369.1000322

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…Erythrocyte deformity can be found in sickle cell anemia, bone marrow stimulation, and hemolysis. Poikilocytosis can also be caused by pre-analytic factors, such as mismatching of blood ratios with anticoagulants and delay in processing the preparation of Peripheral Blood Smear (PBS) (Ademola and Abiola, 2016). Apart from preanalytic factors, target cells can also be found in cases of thalassemia.…”

Section: Observation Of Erythrocyte Morphologymentioning

confidence: 99%

“…Anemia can also be classified based on cell size, namely microcytic anemia that is mainly caused by iron deficiency, thalassemia (hemoglobin disorder), sideroblastic anemia, and anemia from chronic inflammation. Normocytic anemia is commonly attributed to chronic diseases, such as kidney disorders, while macrocytic anemia is mainly caused by myelodysplasia anemia, anemia due to alcohol consumption, and megaloblastic anemia (Ademola and Abiola, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Erythrocyte Morphology in Women of Reproductive Age (WORA) with Anemia

Tukira¹,

Gunawan²,

Prasetya³

2020

biomedika

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Anemia is a decrease in the number of erythrocytes in the blood circulation or the level of hemoglobin that is less than normal. The three major body mechanisms that cause anemia are excessive destruction of erythrocytes, blood loss, and decreased erythrocyte production. Based on the Basic Health Research (Riskesdas) in 2013, the prevalence of anemic women of reproductive age (WORA) aged 15-44 years in Indonesia was 35.3%. Anemia is classified based on the morphology of erythrocytes, including hypochromic microcytic, normocytic normochromic, and macrocytic. Erythrocyte morphology can be observed using peripheral blood smear examination. The objective of this study was to determine the morphology of erythrocytes in anemic women of reproductive age. This study belongs to descriptive research. The population of the study was 136 women of reproductive age, covering the students of D-IV in Medical Laboratory Technology at Setia Budi University. Forty-one respondents suffering from anemia were taken using a purposive sampling technique. The types of anemia were determined with examination using an Easy Touch hemoglobinometer with the Hb level of less than 12g/dL. Preparation of peripheral blood smear examination using EDTA venous blood and stained with Giemsa. Microscopic examination was performed with 1000x objective magnification. The peripheral blood smear reading showed the erythrocyte morphology that includes normocytic normochromic (38 samples or 93%), microcytic hypochromic (three samples or 7%), and poikilocytosis consisting of teardrop cells, target cells, ellipstocytes, and stomatocytes (five samples or 18%). Further study is required to investigate the correlation of erythrocyte index and peripheral blood smear in anemia.

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Section: Observation Of Erythrocyte Morphologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Erythrocyte Morphology in Women of Reproductive Age (WORA) with Anemia

Tukira¹,

Gunawan²,

Prasetya³

2020

biomedika

View full text Add to dashboard Cite

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Prevalence and Associated Risk Factors of Anaemia in Children Aged Six Months to Fifteen Years Admitted to University Teaching Hospital, Lusaka, Zambia

Inambao

Mulenga

2020

JABS

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Background: Anaemia is a public health problem globally affecting 293.1 million children and 28.5% of these children are in sub-Saharan Africa. The aim of this study was to determine the prevalence of anaemia and the associated risk factors of anaemia in children aged 6 months to 15 years admitted to the University Teaching Hospital. There have been no studies done at University Teaching Hospital to establish the burden of anaemia in children. Methods: A cross-sectional study was conducted from July 2016 to December 2016. 351 children were recruited through convenient sampling methods. Data collection sheet was used to collect socio-demographic and anthropometry data. The prevalence, associated risk factors of anaemia, and morphological types of anaemia were determined after blood investigations were done. Data analysis was done using SPSS version 21.0. The association between predictors and outcome variables were measured using logistic regression and bivariate analysis. Ethical permission was obtained, consent from parents/guardians was taken and confidentiality was maintained. Results: A total of 351 children were studied. The mean age was 3 years (IOR 2-7 years). 45.9% were females and 54.1% were males (P=0.12). The mean cell volume was 74. 5fL.Malnourished children were 37.9% among those who were anaemic as compared to 33.7% in the non-anaemic group. 7.4% of children had positive malaria by rapid diagnostic test (RDT). 23.8% had a positive sickling test. The prevalence of anaemia was 161/351 (45.9%). Mild, moderate, severe anaemia was 47/161(29%), 86/161(53%) and 28/161(17%) respectively. The age group 6 months to 5 years was the most affected with 59% mildly, 69.8% moderately and 71.4% severely anaemic. On bivariate analysis malnutrition, HIV, malaria, age and sex were not associated with anaemia and there was no statistical difference. Logistic regression analysis revealed that the presence of haemoglobin S was the only risk factor independently strongly associated with Anaemia (CI-0.2-0.7), p-value of 0.001. Conclusion: Anaemia is a health problem at University Teaching hospital and the under-five age group is the most affected. Predictors of mild, moderate and severe anaemia is sickle cell disease. Therefore, improving on early screening of sickle cell disease and investigating the role of iron deficiency anaemia are some of the strategies to be advocated.

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Morphologic Evaluation of Anemia I

Cited by 2 publications

References 27 publications

Erythrocyte Morphology in Women of Reproductive Age (WORA) with Anemia

Erythrocyte Morphology in Women of Reproductive Age (WORA) with Anemia

Prevalence and Associated Risk Factors of Anaemia in Children Aged Six Months to Fifteen Years Admitted to University Teaching Hospital, Lusaka, Zambia

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