Imperial College London

DrBeatrizJimenez

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

NMR Manager
 
 
 
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Contact

 

+44 (0)20 7594 2441b.jimenez Website

 
 
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Location

 

E306Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Antcliffe:2017:10.1016/j.ebiom.2017.03.034,
author = {Antcliffe, D and Jimenez, B and Veselkov, K and Holmes, E and Gordon, AC},
doi = {10.1016/j.ebiom.2017.03.034},
journal = {EBioMedicine},
pages = {244--253},
title = {Metabolic profiling in patients with pneumonia on intensive care},
url = {http://dx.doi.org/10.1016/j.ebiom.2017.03.034},
volume = {18},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Clinical features and investigations lack predictive value when diagnosing pneumonia, especially when patients are ventilated and when patients develop ventilator associated pneumonia (VAP). New tools to aid diagnosis are important to improve outcomes. This pilot study examines the potential for metabolic profiling to aid the diagnosis in critical care.In this prospective observational study ventilated patients with brain injuries or pneumonia were recruited in the intensive care unit and serum samples were collected soon after the start of ventilation. Metabolic profiles were produced using 1D 1H NMR spectra. Metabolic data were compared using multivariate statistical techniques including Principal Component Analysis (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA).We recruited 15 patients with pneumonia and 26 with brain injuries, seven of whom went on to develop VAP. Comparison of metabolic profiles using OPLS-DA differentiated those with pneumonia from those with brain injuries (R2Y = 0.91, Q2Y = 0.28, p = 0.02) and those with VAP from those without (R2Y = 0.94, Q2Y = 0.27, p = 0.05). Metabolites that differentiated patients with pneumonia included lipid species, amino acids and glycoproteins.Metabolic profiling shows promise to aid in the diagnosis of pneumonia in ventilated patients and may allow a more timely diagnosis and better use of antibiotics.
AU - Antcliffe,D
AU - Jimenez,B
AU - Veselkov,K
AU - Holmes,E
AU - Gordon,AC
DO - 10.1016/j.ebiom.2017.03.034
EP - 253
PY - 2017///
SN - 2352-3964
SP - 244
TI - Metabolic profiling in patients with pneumonia on intensive care
T2 - EBioMedicine
UR - http://dx.doi.org/10.1016/j.ebiom.2017.03.034
UR - http://hdl.handle.net/10044/1/45041
VL - 18
ER -