ArticleCritical care (London, England)2015
Development of metabolic and inflammatory mediator biomarker phenotyping for early diagnosis and triage of pediatric sepsis.
Article in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 55 citations in OpenAlex.
- Multiomics characterization of acute child illness and mortality in Africa and South Asia.Nature communications · 2026Article
- Article
- Plasma Bile Acid Profiling Reveals Novel Early Diagnostic Biomarkers for Pediatric Sepsis.Journal of inflammation research · 2025Article
- Sepsis subphenotypes: bridging the gaps in sepsis treatment strategies.Frontiers in immunology · 2025Review
- Article
- Multilevel omics for the discovery of biomarkers in pediatric sepsis.Pediatric investigation · 2023Review
- Host Response Biomarkers for Sepsis in the Emergency Room.Critical care (London, England) · 2023Review
- Distinct subsets of neutrophils crosstalk with cytokines and metabolites in patients with sepsis.iScience · 2023Article
- Metabolomics in pediatric lower respiratory tract infections and sepsis: a literature review.Pediatric research · 2023Review
- Precision diagnostics in children.Cambridge prisms. Precision medicine · 2023Review
- Comparison of Two Automated Targeted Metabolomics Programs to Manual Profiling by an Experienced Spectroscopist forMetabolites · 2022Article
- Metabolomics and Inflammatory Mediator Profiling for the Differentiation of Life-Threatening and Non-Severe Appendicitis in the Pediatric Population.Metabolites · 2021Article
- Untargeted and Targeted Metabolomic Profiling of Preterm Newborns with EarlyOnset Sepsis: A Case-Control Study.Metabolites · 2021Article
- Article
- Dynamic Transitions of Pediatric Sepsis: A Markov Chain Analysis.Frontiers in pediatrics · 2021Article
- Title NMR-based metabolic profiling provides diagnostic and prognostic information in critically ill children with suspected infection.Scientific reports · 2020Article
- Article
- Urinary Metabolomics Validates Metabolic Differentiation Between Renal Cell Carcinoma Stages and Reveals a Unique Metabolic Profile for Oncocytomas.Metabolites · 2019Article
- Precision medicine in pediatric sepsis.Current opinion in pediatrics · 2019Review
- Data Science for Child Health.The Journal of pediatrics · 2019Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe first steps in goal-directed therapy for sepsis are early diagnosis followed by appropriate triage. These steps are usually left to the physician's judgment, as there is no accepted biomarker available. We aimed to determine biomarker phenotypes that differentiate children with sepsis who require intensive care from those who do not.
methodsWe conducted a prospective, observational nested cohort study at two pediatric intensive care units (PICUs) and one pediatric emergency department (ED). Children ages 2-17 years presenting to the PICU or ED with sepsis or presenting for procedural sedation to the ED were enrolled. We used the judgment of regional pediatric ED and PICU attending physicians as the standard to determine triage location (PICU or ED). We performed metabolic and inflammatory protein mediator profiling with serum and plasma samples, respectively, collected upon presentation, followed by multivariate statistical analysis.
resultsNinety-four PICU sepsis, 81 ED sepsis, and 63 ED control patients were included. Metabolomic profiling revealed clear separation of groups, differentiating PICU sepsis from ED sepsis with accuracy of 0.89, area under the receiver operating characteristic curve (AUROC) of 0.96 (standard deviation [SD] 0.01), and predictive ability (Q(2)) of 0.60. Protein mediator profiling also showed clear separation of the groups, differentiating PICU sepsis from ED sepsis with accuracy of 0.78 and AUROC of 0.88 (SD 0.03). Combining metabolomic and protein mediator profiling improved the model (Q(2) =0.62), differentiating PICU sepsis from ED sepsis with accuracy of 0.87 and AUROC of 0.95 (SD 0.01). Separation of PICU sepsis or ED sepsis from ED controls was even more accurate. Prespecified age subgroups (2-5 years old and 6-17 years old) improved model accuracy minimally. Seventeen metabolites or protein mediators accounted for separation of PICU sepsis and ED sepsis with 95% confidence.
conclusionsIn children ages 2-17 years, combining metabolomic and inflammatory protein mediator profiling early after presentation may differentiate children with sepsis requiring care in a PICU from children with or without sepsis safely cared for outside a PICU. This may aid in making triage decisions, particularly in an ED without pediatric expertise. This finding requires validation in an independent cohort.
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