1. A predictive algorithm for identifying children with sickle cell anemia among children admitted to hospital with severe anemia in Africa
- Author
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Olupot-Olupot, P, Connon, R, Kiguli, S, Opoka, RO, Alaroker, F, Uyoga, S, Nakuya, M, Okiror, W, Nteziyaremye, J, Ssenyondo, T, Nabawanuka, E, Kayaga, J, Williams Mukisa, C, Amorut, D, Muhindo, R, Frost, G, Walsh, K, Macharia, AW, Gibb, DM, Walker, AS, George, EC, Maitland, K, Williams, TN, Williams, T, Wellcome Trust, Medical Research Council, and Medical Research Council (MRC)
- Subjects
OUTCOMES ,Malawi ,Science & Technology ,Immunology ,hemic and immune systems ,Hematology ,Anemia, Sickle Cell ,DISEASE ,Hospitals ,MALARIA ,Humans ,Uganda ,BURDEN ,Child ,Life Sciences & Biomedicine ,1102 Cardiorespiratory Medicine and Haematology ,reproductive and urinary physiology ,Algorithms - Abstract
Sickle cell anemia (SCA) is common in sub-Saharan Africa where approximately 1% of births are affected. Severe anemia is a common cause for hospital admission within the region yet few studies have investigated the contribution made by SCA. The Transfusion and Treatment of severe anemia in African Children Trial (ISRCTN84086586) investigated various treatment strategies in 3983 children admitted with severe anemia (hemoglobin
- Published
- 2022
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