Mid-infrared spectroscopy of serum, a promising non-invasive method to assess prognosis in patients with ascites and cirrhosis

Prognostic tests are critical in the management of patients with cirrhosis and ascites. Biological tests or scores perform poorly in that situation. Mid-infrared fibre evanescent wave spectroscopy (MIR-FEWS) which allows for global serum metabolic profiling may provide more relevant information by m...

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Veröffentlicht in:PloS one 2017-10, Vol.12 (10), p.e0185997-e0185997
Hauptverfasser: Le Corvec, Maëna, Jezequel, Caroline, Monbet, Valérie, Fatih, Nadia, Charpentier, Frédéric, Tariel, Hugues, Boussard-Plédel, Catherine, Bureau, Bruno, Loréal, Olivier, Sire, Olivier, Bardou-Jacquet, Edouard
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Sprache:eng
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Zusammenfassung:Prognostic tests are critical in the management of patients with cirrhosis and ascites. Biological tests or scores perform poorly in that situation. Mid-infrared fibre evanescent wave spectroscopy (MIR-FEWS) which allows for global serum metabolic profiling may provide more relevant information by measuring a wider range of metabolic parameters in serum. Here we present the accuracy of a MIR-FEWS based predictive model for the prognosis of 6 months survival in patients with ascites and cirrhosis. Patients with ascites were prospectively included and followed up for 6 months. MIR-FEWS spectra were measured in serum samples. The most informative spectral variables obtained by MIR-FEWS were selected by FADA algorithm and then used to build the MIR model. Accuracy of this model was assessed by ROC curves and 90%/10% Monte Carlo cross-validation. MIR model accuracy for 6 months survival was compared to that of the Child-Pugh and MELD scores. 119 patients were included. The mean age was 57.36±13.70, the MELD score was 16.32±6.26, and the Child-Pugh score was 9.5±1.83. During follow-up, 23 patients died (20%). The MIR model had an AUROC for 6 months mortality of 0.90 (CI95: 0.88-0.91), the MELD 0.77 (CI95: 0.66-0.89) and Child-Pugh 0.76 (CI95: 0.66-0.88). MELD and Child-Pugh AUROCs were significantly lower than that of the MIR model (p = 0.02 and p = 0.02 respectively). Multivariate logistic regression analysis showed that MELD (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0185997