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

Scientific Reports
Arturas GrauslysEnitan D Carrol

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 1H 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 ...Continue Reading

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Citations

Aug 31, 2021·PloS One·Ana Sofía Herrera-Van OostdamYamilé López-Hernández

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Datasets Mentioned

BETA
MTBLS563

Methods Mentioned

BETA
PCR
metabolomic profiling
nuclear magnetic resonance
NMR
PCA

Software Mentioned

sPLS
R
PLS
DA
Chenomx
R scripts
MixOmics
Topspin

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