Prognostic accuracy of biomarkers of immune and endothelial activation in Mozambican children hospitalized with pneumonia (Raw Data)

DOI

This dataset contains raw analytical data used in the manuscript by Balanza N, Erice C, Ngai M et al. “Prognostic accuracy of biomarkers of immune and endothelial activation in Mozambican children hospitalized with pneumonia”. Demographic, clinical, and biomarker data of 472 children with WHO-defined pneumonia admitted to Manhiça District Hospital (Mozambique) and 80 healthy community controls are included.

Pneumonia is a leading cause of child mortality. However, currently we lack simple, objective, and accurate risk-stratification tools for paediatric pneumonia. Here we test the hypothesis that measuring biomarkers of immune and endothelial activation in children with pneumonia may facilitate the identification of those at risk of death. We recruited children <10 years old fulfilling WHO criteria for pneumonia and admitted to Manhiça District Hospital (Mozambique) from 2010 to 2014. We measured plasma levels of IL-6, IL-8, Angpt-2, sTREM-1, sFlt-1, sTNFR1, PCT, and CRP at admission, and assessed their prognostic accuracy for in-hospital, 28-day, and 90-day mortality. Healthy community controls, within same age strata and location, were also assessed. All biomarkers were significantly elevated in 472 pneumonia cases versus 80 controls (p<0.001). IL-8, sFlt-1, and sTREM-1 were associated with in-hospital mortality (p<0.001) and showed the best discrimination with AUROCs of 0.877 (95% CI: 0.782 to 0.972), 0.832 (95% CI: 0.729 to 0.935) and 0.822 (95% CI: 0.735 to 0.908), respectively. Their performance was superior to CRP, PCT, oxygen saturation, and clinical severity scores. IL-8, sFlt-1, and sTREM-1 remained good predictors of 28-day and 90-day mortality. These findings suggest that measuring IL-8, sFlt-1, or sTREM-1 at hospital presentation can guide risk-stratification of children with pneumonia, which could enable prioritized care to improve survival and resource allocation.

Identifier
DOI https://doi.org/10.34810/data595
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data595
Provenance
Creator Núria Balanza ORCID logo; Clara Erice ORCID logo; Michelle Ngai; Chloe R. McDonald ORCID logo; Andrea M. Weckman ORCID logo; Julie Wright; Melissa Richard-Greenblattt ORCID logo; Rosauro Varo ORCID logo; Elisa López-Varela ORCID logo; Antonio Sitoe; Pio Vitorino; Justina Bramugy; Miguel Lanaspa (ORCID: 0000-0002-9310-177X); Sozinho Acácio; Lola Madrid ORCID logo; Bàrbara Baro ORCID logo; Kevin C. Kain ORCID logo; Quique Bassat ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor UBIOESGD
Publication Year 2023
Rights CC BY-NC-SA 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact UBIOESGD (Barcelona Institute for Global Health)
Representation
Resource Type Clinical data; Dataset
Format text/tab-separated-values; text/plain
Size 92369; 1445; 3755
Version 2.2
Discipline Life Sciences; Medicine