Incidence and predictors of hospital readmission in children presenting with severe anaemia in Uganda and Malawi :

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dc.contributor.author Connon, Roisin
dc.contributor.author George, Elizabeth C.
dc.contributor.author Olupot-Olupot, Peter
dc.contributor.author Kiguli, Sarah
dc.contributor.author Chagaluka, George
dc.contributor.author Alaroker, Florence
dc.contributor.author Opoka, Robert O.
dc.contributor.author Mpoya, Ayub
dc.date.accessioned 2021-09-28T06:23:39Z
dc.date.available 2021-09-28T06:23:39Z
dc.date.issued 2021
dc.identifier.citation Connon, Roisin . . . [et al.]. (2021). Incidence and predictors of hospital readmission in children presenting with severe anaemia in Uganda and Malawi: a secondary analysis of TRACT trial data. https://doi.org/10.1186/s12889-021-11481-6 en_US
dc.identifier.uri http://hdl.handle.net/20.500.12283/795
dc.description Article en_US
dc.description.abstract Background: Severe anaemia (haemoglobin < 6 g/dL) is a leading cause of recurrent hospitalisation in African children. We investigated predictors of readmission in children hospitalised with severe anaemia in the TRACT trial (ISRCTN84086586) in order to identify potential future interventions. Methods: Secondary analyses of the trial examined 3894 children from Uganda and Malawi surviving a hospital episode of severe anaemia. Predictors of all-cause readmission within 180 days of discharge were identified using multivariable regression with death as a competing risk. Groups of children with similar characteristics were identified using hierarchical clustering. Results: Of the 3894 survivors 682 (18%) were readmitted; 403 (10%) had ≥2 re-admissions over 180 days. Three main causes of readmission were identified: severe anaemia (n = 456), malaria (n = 252) and haemoglobinuria/dark urine syndrome (n = 165). Overall, factors increasing risk of readmission included HIV-infection (hazard ratio 2.48 (95% CI 1.63–3.78), p < 0.001); ≥2 hospital admissions in the preceding 12 months (1.44(1.19–1.74), p < 0.001); history of transfusion (1.48(1.13–1.93), p = 0.005); and missing ≥1 trial medication dose (proxy for care quality) (1.43 (1.21–1.69), p < 0.001). Children with uncomplicated severe anaemia (Hb 4-6 g/dL and no severity features), who never received a transfusion (per trial protocol) during the initial admission had a substantially lower risk of readmission (0.67(0.47–0.96), p = 0.04). Malaria (among children with no prior history of transfusion) (0.60(0.47–0.76), p < 0.001); younger-age (1.07 (1.03–1.10) per 1 year younger, p < 0.001) and known sickle cell disease (0.62(0.46–0.82), p = 0.001) also decreased risk of readmission. For anaemia re-admissions, gross splenomegaly and enlarged spleen increased risk by 1.73(1.23–2.44) and 1.46(1.18–1.82) respectively compared to no splenomegaly. Clustering identified four groups of children with readmission rates from 14 to 20%. The cluster with the highest readmission rate was characterised by very low haemoglobin (mean 3.6 g/dL). Sickle Cell Disease (SCD) predominated in two clusters associated with chronic repeated admissions or severe, acute presentations in largely undiagnosed SCD. The final cluster had high rates of malaria (78%), severity signs and very low platelet count, consistent with acute severe malaria. Conclusions: Younger age, HIV infection and history of previous hospital admissions predicted increased risk of readmission. However, no obvious clinical factors for intervention were identified. As missing medication doses was highly predictive, attention to care related factors may be important. Keywords: Severe anaemia, Readmission en_US
dc.description.sponsorship Busitema University, BMC Public Health en_US
dc.language.iso en en_US
dc.publisher Busitema University ; BMC Public Health en_US
dc.subject Recurrent hospitalisation en_US
dc.subject African children en_US
dc.subject Severe anaemia en_US
dc.subject Readmission en_US
dc.title Incidence and predictors of hospital readmission in children presenting with severe anaemia in Uganda and Malawi : en_US
dc.title.alternative a secondary analysis of TRACT trial data en_US
dc.type Article en_US


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