Title NMR-based metabolic profiling provides diagnostic and prognostic information in critically ill children with suspected infection



Grauslys, Arturas, Phelan, Marie M, Broughton, Caroline, Baines, Paul B, Jennings, Rebecca, Siner, Sarah, Paulus, Stephane C ORCID: 0000-0002-0703-9114 and Carrol, Enitan D ORCID: 0000-0001-8357-7726
(2020) Title NMR-based metabolic profiling provides diagnostic and prognostic information in critically ill children with suspected infection. SCIENTIFIC REPORTS, 10 (1). 20198-.

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Abstract

Sepsis, defined as life-threatening organ dysfunction caused by infection is difficult to distinguish clinically from infection or post-operative inflammation. We hypothesized that in a heterogeneous group of critically ill children, there would be different metabolic profiles between post-operative inflammation, bacterial and viral infection and infection with or without organ dysfunction. 1D <sup>1</sup>H nuclear magnetic resonance spectra were acquired in plasma samples from critically ill children. We included children with bacterial (n = 25) and viral infection (n = 30) and controls (n = 58) (elective cardiac surgery without infection). Principal component analysis was used for data exploration and partial least squares discriminant analysis models for the differences between groups. Area under receiver operating characteristic curve (AUC) values were used to evaluate the models. Univariate analysis demonstrated differences between controls and bacterial and viral infection. There was excellent discrimination between bacterial and control (AUC = 0.94), and viral and control (AUC = 0.83), with slightly more modest discrimination between bacterial and viral (AUC = 0.78). There was modest discrimination (AUC = 0.73) between sepsis with organ dysfunction and infection with no organ dysfunction. In critically ill children, NMR metabolomics differentiates well between those with a post-operative inflammation but no infection, and those with infection (bacterial and viral), and between sepsis and infection.

Item Type: Article
Uncontrolled Keywords: Humans, Bacterial Infections, Sepsis, Virus Diseases, Critical Illness, Diagnosis, Differential, Prognosis, Magnetic Resonance Spectroscopy, Child, Child, Preschool, Infant, Female, Male, Metabolomics, Metabolome, Biomarkers
Depositing User: Symplectic Admin
Date Deposited: 09 Dec 2020 15:50
Last Modified: 18 Jan 2023 23:19
DOI: 10.1038/s41598-020-77319-0
Open Access URL: https://doi.org/10.1038/s41598-020-77319-0
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3109779