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7 results on '"Panero, JLC"'

2. Tenofovir reduces the severity of COVID-19 infection in chronic hepatitis B patients

Author

Munoz, BM, Buti, M, Vazquez, IF, Conde, MH, Monterde, VB, Diaz, F, Morillas, R, Garcia-Buey, L, Badia-Aranda, E, Miquel, M, Amador, A, Rodriguez-Tajes, S, Merino, LR, Madejon, A, Garcia-Retortillo, M, Arenas, J, Cabezas, J, Santiago, JG, Fernandez-Rodriguez, C, Cordero, P, Diago, M, Mancebo, A, Pardo, A, Rodriguez, M, Hoyas, E, Moreno, JJ, Turnes, J, Simon, MA, Marcos-Fosch, C, Panero, JLC, Banares, R, Lens, S, Crespo, J, Gomez, MR, Rodriguez-Santiago, E, Guillen, SM, and Albillos, A

Published
2021

5. Factors predicting survival in patients with high-risk acute variceal bleeding treated with pre-emptive (Early)-TIPS

Author

Angrisani, D, Hernandez-Gea, V, Procopet, B, Caca, K, Giraldez-Gallego, A, Amitrano, L, Guardascione, MA, Villanueva, C, Alvarado, E, Thabut, D, Rudler, M, Ibanez, L, Banares, R, Catalina, MV, Turon, F, Albillos, A, Martinez, J, Genesca, J, Sosa, IC, Baiges, A, Christophe, B, Vinel, JP, Robic, MA, Sauerbruch, T, Trebicka, J, Appenrodt, B, Jansen, C, Llop, E, Panero, JLC, Laleman, W, Nevens, F, Palazon, JM, Castellote, J, Rodrigues, SG, Gluud, LL, Ferreira, CN, Canete, N, Tantau, M, Magaz, M, Rodriguez, M, Ferlitsch, A, Mundi, JL, Gronbaek, H, Hernandez-Guerra, M, Ferrusquia, J, Mossner, J, Sassatelli, R, Dell'Era, A, Senzolo, M, Abraldes, JG, Romero-Gomez, M, Zipprich, A, Luca, A, Casas, M, Masnou, H, Primignani, M, Casanovas, G, Torres, F, Krag, A, Bosch, J, Monescillo, A, and Garcia-Pagan, JC

Published
2019

6. Efficacy and safety of glecaprevir/pibrentasvir for the pangenotypic treatment of chronic hepatitis C in former intravenous drug users: Subanalysis from a Spanish real-world cohort (Hepa-C)

Author

Puigvehi, M, Albillos, A, Viu, A, Hernandez-Guerra, M, Vazquez, IF, Prieto, M, Torras, X, Zabal, JMR, Santamaria, LG, Morillas, R, Diago, M, Moron, BDC, Delgado, M, Bonet, L, Turnes, J, Crespo, J, Baliellas, C, Panero, JLC, Badia-Aranda, E, Pascasio, JM, Moreno, JM, Monterde, VB, Carmona, I, Fernandez-Bermejo, M, Quiles, R, Garcia, PB, Gonzalez-Santiago, JM, Gutierrez, ML, Moreno, JJ, Conejero, MDA, De la Vega, J, Escudero-Garcia, D, Arenas, J, and Carrion, JA

Published
2019

7. Estimation of visceral fat is useful for the diagnosis of significant fibrosis in patients with non-alcoholic fatty liver disease.

Author

Hernández-Conde M, Llop E, Carrillo CF, Tormo B, Abad J, Rodriguez L, Perelló C, Gomez ML, Martínez-Porras JL, Puga NF, Trapero-Marugan M, Fraga E, Aracil CF, and Panero JLC

Subjects
Biopsy, Cross-Sectional Studies, Female, Fibrosis, Humans, Intra-Abdominal Fat diagnostic imaging, Liver Cirrhosis diagnosis, Male, Middle Aged, Elasticity Imaging Techniques, Non-alcoholic Fatty Liver Disease complications, Non-alcoholic Fatty Liver Disease diagnosis
Abstract

Background: Obesity is a risk factor for non-alcoholic fatty liver disease (NAFLD), although obese patients with NAFLD do not always develop significant fibrosis. The distribution of body fat could predict the risk of NAFLD progression., Aim: To investigate the role of bioelectrical impedance-estimated visceral fat (VF) in assessing NAFLD severity., Methods: In this cross-sectional study, patients with biopsy-proven NAFLD were prospectively included. All patients underwent anthropometric evaluation, blood tests and bioelectrical impedance analysis., Results: Between 2017 and 2020, 119 patients were included [66.4% male, 56 years (SD 10.7), 62.2% obese, 61.3% with metabolic syndrome]. Sixty of them (50.4%) showed significant fibrosis (≥ F2) in liver biopsy. Age, VF and metabolic syndrome were associated with significant fibrosis (61 years vs 52 years, 16.4 vs 13.1, 73.3% vs 49.2%, respectively; P < 0.001 for all). In the multivariate analysis, VF and age were independently associated with significant fibrosis (VF, OR: 1.11, 95%CI: 1.02-1.22, P = 0.02; age, OR: 1.08, 95%CI: 1.03-1.12, P < 0.01). A model including these variables showed and area under the receiver operating characteristic curve (AUROC) of 0.75, which was not inferior to transient elastography or NAFLD fibrosis score AUROCs. We developed a nomogram including age and VF for assessing significant fibrosis in routine practice., Conclusion: VF is a surrogate marker of liver fibrosis in patients with NAFLD. Bioelectrical impedance analysis is an inexpensive and simple method that can be combined with age to guide patient referral when other resources may be unavailable., Competing Interests: Conflict-of-interest statement: The authors have no conflicts of interest relevant to this article., (©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.)

Published
2020
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