Calculating Blood Needs Using Prediction Models for Major Thalasemia Patients At Cut Meutia Hospital
Harvina Sawitri1, Cut Asmaul Husna2
1Harvina Sawitri, Medical Study Program, Faculty of Medicine, Malikussaleh University.
2Cut Asmaul Husna, Medical Study Program, Faculty of Medicine, Malikussaleh University.
Manuscript received on 09 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1383-1385 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F12430476S519/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Thalassemia major as a genetic disease suffered for life will bring many problems to the sufferer. Starting from blood disorder in the form of chronic anemia due to the process of hemolysis, to various body organs abnormalities either as a result of the disease itself or due to the treatment given. Until now, blood transfusions are still the main management to overcome anemia in thalassemia major. Some factors such as age, weight and hemoglobin levels before transfusion are factors that must be taken into account when calculating blood transfusion needs for patients with thalassemia major. The research was using cross sectional design on 50 patients at Cut Meutia Hospital with convenient sampling technique. Multiple linear regression analysis was used to create predictive models. The results showed that 23.5% of the blood needs for thalassemia major can explained by age, weight, and hemoglobin level while 76.5% were explained by other causes. The prediction formula states that every decrement of one year in age, the need for blood will increase by 11 milliliters, every increment of one kilogram of body weight will increase by 7 milliliters of blood and if the hemoglobin level decreased 1 g/dL then the need for blood will increase by 32 milliliters.
Keywords: Blood Need, Predictive Models, Thalassemia Major.
Scope of the Article: Regression and Prediction