A predictive algorithm for identifying children with sickle cell anemia among children admitted to hospital with severe anemia in Africa

Autor: 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
Přispěvatelé: Wellcome Trust, Medical Research Council, Medical Research Council (MRC)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
DOI: 10.1002/ajh.26492
Popis: 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
Databáze: OpenAIRE