Derivation and external validation of a clinical prognostic model identifying children at risk of death following presentation for diarrheal care

Sharia M Ahmed, Ben J Brintz, Alison Talbert, Moses Ngari, Patricia B Pavlinac, James A Platts-Mills, Adam C Levine, Eric J Nelson, Judd L Walson, Karen L Kotloff, James A Berkley and Daniel T Leung

PLOS Global Public Health, 2023, vol. 3, issue 6, 1-12

Abstract: Diarrhea continues to be a leading cause of death for children under-five. Amongst children treated for acute diarrhea, mortality risk remains elevated during and after acute medical management. Identification of those at highest risk would enable better targeting of interventions, but available prognostic tools lack validation. We used clinical and demographic data from the Global Enteric Multicenter Study (GEMS) to build clinical prognostic models (CPMs) to predict death (in-treatment, after discharge, or either) in children aged ≤59 months presenting with moderate-to-severe diarrhea (MSD), in Africa and Asia. We screened variables using random forests, and assessed predictive performance with random forest regression and logistic regression using repeated cross-validation. We used data from the Kilifi Health and Demographic Surveillance System (KHDSS) and Kilifi County Hospital (KCH) in Kenya to externally validate our GEMS-derived CPM. Of 8060 MSD cases, 43 (0.5%) children died in treatment and 122 (1.5% of remaining) died after discharge. MUAC at presentation, respiratory rate, age, temperature, number of days with diarrhea at presentation, number of people living in household, number of children

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pgph00:0001937

DOI: 10.1371/journal.pgph.0001937

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