ArticleBMC medicine2015
Predicting mortality in sick African children: the FEAST Paediatric Emergency Triage (PET) Score.
Article in BMC medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Predictors of disease severity in children presenting from the community with febrile illnesses: a systematic review of prognostic studies.BMJ global health · 2021Pooled it
- Prognostic models for predicting in-hospital paediatric mortality in resource-limited countries: a systematic review.BMJ open · 2020Pooled it
- Predicting referral need for febrile children in low-resource community settings in South and Southeast Asia.Nature medicine · 2026Article
- Multiomics characterization of acute child illness and mortality in Africa and South Asia.Nature communications · 2026Article
- Epidemiology and Outcomes of Pediatric Fever in a Rural District of Southern Mozambique: 17 Years of Morbidity Surveillance.Open forum infectious diseases · 2025Article
- Article
- Supplementation with ready-to-use therapeutic food has no effect on adverse outcomes among undernourished children aged 6-59 months with severe pneumonia.Frontiers in nutrition · 2025Article
- Prediction of inpatient mortality in hospitalised children in low- and middle-income countries: An external validation of paediatric mortality risk scores.Journal of global health · 2024Article
- Geographical validation of the Smart Triage Model by age group.PLOS digital health · 2024Article
- The malarial blood transcriptome: translational applications.Biochemical Society transactions · 2024Review
- Validation of the Emergency Department-Paediatric Early Warning Score (ED-PEWS) for use in low- and middle-income countries: A multicentre observational study.PLOS global public health · 2024Article
- Identifying critically ill children in Malawi: A modified qSOFA score for low-resource settings.PLOS global public health · 2024Article
- External validation of clinical severity scores to guide referral of paediatric acute respiratory infections in resource-limited primary care settings.Scientific reports · 2023Article
- Pediatric prognostic models predicting inhospital child mortality in resource-limited settings: An external validation study.Health science reports · 2023Article
- Pediatric Malaria with Respiratory Distress: Prognostic Significance of Point-of-Care Lactate.Microorganisms · 2023Article
- Prognostic accuracy of biomarkers of immune and endothelial activation in Mozambican children hospitalized with pneumonia.PLOS global public health · 2023Article
- Elicitation of domain knowledge for a machine learning model for paediatric critical illness in South Africa.Frontiers in pediatrics · 2023Article
- Development and an initial validation of the Responses to Illness Severity Quantification (RISQ) score for severely malnourished children.Acta paediatrica (Oslo, Norway : 1992) · 2022Article
- Childhood mortality during and after acute illness in Africa and south Asia: a prospective cohort study.The Lancet. Global health · 2022Article
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17 authors.
Funding
Abstract
backgroundMortality 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.
methodsData 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.
resultsA 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.
conclusionsEight 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.
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