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Haemogloin Level, Blood Group, Chest X Ray Findings and Consanguinity in Thalassemic Children in AL Muthana Governorate
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Background: Thalassemia is characterized by the decrease or absence of the synthesis of one or more globin chains of hemoglobin. Thalassemia is distributed worldwide and is characterized by; regular blood transfusion which is creating alloimmunization to erythrocyte antigens is one of the major complications of regular blood transfusions in thalassemia, particularly in patients who are chronically transfused.Objectives: The aims of this study are to understand the immune system profile as the triggering factor for thalassemia.Methods: Thirty patients aging between one year and four months and twenty two years, twenty two of them were boys and eight were girls. Twenty nine patients, their parents are relative except one and studied in the maternity and Children teaching Hospital of Al Samawa city. Belonging to Blood groups O+, B+, A+, O- and B- , showed,12,8,7,2 and 1 patients respectively compared to control group 30 persons with no relation to blood groups. High percentages of relative marriages as seen in my study (96.66%), from all Al muthana population how were visiting the hospital during 2010, in thalassemic center. Results: twenty six patients out of thirty patients studied suffer from cardiomegaly (86.66%) due to iron over load because of frequent blood transfusion and immune system disorder. Results also showed eight patients suffer also from Bronchopneumia (26.66%) and all patients had hepatomegaly, splenomegaly and hemoglobin were low in all patients compared to hemoglobin control average which was 10.72-14.76 g/dl. Facial and teeth deformities were recognized in twenty six patients (86.66%).Conclusions: hepatomegaly and splenomegaly, followed by cardiomegaly, facial and teeth deformities were the most persistently recognized features in thalassemic patients. Bronchopneumia is less frequent but not uncommon.

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Publication Date
Thu Apr 13 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Estimate Complete the Survival Function for Real Data of Lung Cancer Patients
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 In this paper, we estimate the survival function for the patients of lung cancer using different nonparametric estimation methods depending on sample from complete real data which describe the duration of survivor for patients who suffer from the lung cancer based on diagnosis of disease or the enter of patients in a hospital for period of two years (starting with 2012 to the end of 2013). Comparisons between the mentioned estimation methods has been performed using statistical indicator mean squares error, concluding that the survival function for the lung cancer by using shrinkage method is the best

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