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Metabolomics discloses potential biomarkers to predict the acute HVPG response to propranolol in patients with cirrhosis
Author(s) -
Reverter Enric,
Lozano Juan J.,
Alonso Cristina,
Berzigotti Annalisa,
Seijo Susana,
Turon Fanny,
Baiges Anna,
MartínezChantar Mari L.,
Mato José M.,
MartínezArranz Ibon,
La Mura Vincenzo,
HernándezGea Virginia,
Bosch Jaume,
GarcíaPagán Juan C.
Publication year - 2019
Publication title -
liver international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.873
H-Index - 110
eISSN - 1478-3231
pISSN - 1478-3223
DOI - 10.1111/liv.14042
Subject(s) - medicine , cirrhosis , gastroenterology , portal venous pressure , decompensation , propranolol , logistic regression , univariate analysis , stepwise regression , portal hypertension , multivariate analysis
Background In cirrhosis, a decrease in hepatic venous pressure gradient (HVPG) > 10% after acute iv propranolol (HVPG response) is associated with a lower risk of decompensation and death. Only a part of patients are HVPG responders and there are no accurate non‐invasive markers to identify them. We aimed at discovering metabolomic biomarkers of HVPG responders to propranolol. Methods Sixty‐six patients with cirrhosis and HVPG ≥ 10 mm Hg in whom the acute HVPG response to propranolol was assessed, were prospectively included. A targeted metabolomic serum analysis using ultrahigh‐performance liquid chromatography coupled to mass spectrometry was performed. Different combinations of 2‐3 metabolites identifying HVPG responders (HVPG reduction > 10%) were obtained by stepwise logistic regression. The best of these model (AUROC, Akaike criterion) underwent internal cross‐validation and cut‐offs to classify responders/non‐responders was proposed. Results A total of 41/66 (62%) patients were HVPG responders. Three hundred and eighty‐nine metabolites were detected and 177 were finally eligible. Eighteen metabolites were associated to the HVPG response at univariate analysis; at multivariable analysis, a model including a phosphatidylcholine (PC(P‐16:0/22:6)) and a free fatty acid (20:2(n‐6), eicosadienoic acid) performed well for HVPG response, with an AUROC of 0.801 (0.761 at internal validation). The cut‐off 0.629 was the most efficient for overall classification (49/66 patients correctly classified). Two cut‐off values allowed identifying responders (0.688, PPV 84%) and non‐responders (0.384, NPV 82%) with undetermined values for 17/66 patients. Clinical variables did not add to the model. Conclusions The combination of two metabolites helps at identifying HVPG responders to acute propranolol. It could be a useful non‐invasive test to classify the HVPG response to propranolol.