Predicting mortality in sick African children: the FEAST Paediatric Emergency Triage (PET) Score

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dc.contributor.author George, Elizabeth C.
dc.contributor.author Walker, Sarah
dc.contributor.author Kiguli, Sarah
dc.contributor.author Olupot-Olupot, Peter
dc.contributor.author Opoka, Robert O.
dc.contributor.author Engoru, Charles
dc.contributor.author Akech, Samuel
dc.contributor.author Nyeko, Richard
dc.contributor.author Mtove, George
dc.contributor.author Reyburn, Hugh
dc.contributor.author Berkley, James A.
dc.contributor.author Mpoya, Ayub
dc.contributor.author Levin, Michael
dc.contributor.author Crawley, Jane
dc.contributor.author Gibb, Diana M.
dc.contributor.author Maitland, Kathryn
dc.contributor.author Babiker, Abdel G.
dc.date.accessioned 2018-12-18T09:05:00Z
dc.date.available 2018-12-18T09:05:00Z
dc.date.issued 2015
dc.identifier.issn 1741-7015
dc.identifier.uri http://hdl.handle.net/20.500.12283/158
dc.description.abstract Background: Mortality in paediatric emergency care units in Africa often occurs within the first 24 h of admission and remains high. Alongside effective triage systems, a practical clinical bedside risk score to identify those at greatest risk could contribute to reducing mortality. Methods: Data collected during the Fluid As Expansive Supportive Therapy (FEAST) trial, a multi-centre trial involving 3,170 severely ill African children, were analysed to identify clinical and laboratory prognostic factors for mortality. Multivariable Cox regression was used to build a model in this derivation dataset based on clinical parameters that could be quickly and easily assessed at the bedside. A score developed from the model coefficients was externally validated in two admissions datasets from Kilifi District Hospital, Kenya, and compared to published risk scores using Area Under the Receiver Operating Curve (AUROC) and Hosmer-Lemeshow tests. The Net Reclassification Index (NRI) was used to identify additional laboratory prognostic factors. Results: A risk score using 8 clinical variables (temperature, heart rate, capillary refill time, conscious level, severe pallor, respiratory distress, lung crepitations, and weak pulse volume) was developed. The score ranged from 0–10 and had an AUROC of 0.82 (95 % CI, 0.77–0.87) in the FEAST trial derivation set. In the independent validation datasets, the score had an AUROC of 0.77 (95 % CI, 0.72–0.82) amongst admissions to a paediatric high dependency ward and 0.86 (95 % CI, 0.82–0.89) amongst general paediatric admissions. This discriminative ability was similar to, or better than other risk scores in the validation datasets. NRI identified lactate, blood urea nitrogen, and pH to be important prognostic laboratory variables that could add information to the clinical score. Conclusions: Eight clinical prognostic factors that could be rapidly assessed by healthcare staff for triage were combined to create the FEAST Paediatric Emergency Triage (PET) score and externally validated. The score discriminated those at highest risk of fatal outcome at the point of hospital admission and compared well to other published risk scores. Further laboratory tests were also identified as prognostic factors which could be added if resources were available or as indices of severity for comparison between centres in future research studies. en_US
dc.language.iso en en_US
dc.publisher BMC en_US
dc.subject Africa en_US
dc.subject Children en_US
dc.subject FEAST trial en_US
dc.subject Mortality en_US
dc.subject Risk score en_US
dc.title Predicting mortality in sick African children: the FEAST Paediatric Emergency Triage (PET) Score en_US
dc.type Article en_US


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