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dc.contributor.authorIsaza, Stephania C.es_ES
dc.contributor.authorFernández García, Carlos Ernestoes_ES
dc.contributor.authorRojo, Diegoes_ES
dc.contributor.authorIruzubieta Coz, Paulaes_ES
dc.contributor.authorAmpuero, Javieres_ES
dc.contributor.authorAller, Rocíoes_ES
dc.contributor.authorCampo, Raquel Vinuesaes_ES
dc.contributor.authorIzquierdo Sánchez, Lauraes_ES
dc.contributor.authorFuertes Yebra, Estheres_ES
dc.contributor.authorMarañón, Patriciaes_ES
dc.contributor.authorBanales, Jesús M.es_ES
dc.contributor.authorPagés, Lauraes_ES
dc.contributor.authorJimenez González, Carolinaes_ES
dc.contributor.authorCía, Javier Rodríguez dees_ES
dc.contributor.authorOlaizola, Irenees_ES
dc.contributor.authorGómez Camarero, Judithes_ES
dc.contributor.authorArroyo Lopez, Víctores_ES
dc.contributor.authorRomero Gómez, Manueles_ES
dc.contributor.authorCrespo García, Javier es_ES
dc.contributor.authorPericàs, Juan M.es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2026-02-03T10:44:08Z
dc.date.available2026-02-03T10:44:08Z
dc.date.issued2025es_ES
dc.identifier.issn2050-7771es_ES
dc.identifier.urihttps://hdl.handle.net/10902/39102
dc.description.abstractLiver fibrosis represents the main risk factor not only for liver-related but also for overall mortality in metabolic dysfunction-associated steatotic liver disease (MASLD) patients, being metabolic dysfunction-associated steatohepatitis (MASH) its more severe clinical form. We recently developed a non-invasive algorithm termed BMP8A Fibrosis Score (BFS) which is able to identify MASH patients with advanced liver fibrosis. The aim of this study was to validate the BFS comparing its diagnostic accuracy with that of other scoring systems developed to assess liver fibrosis in MASH patients. Serum BMP8A was measured in 302 patients with biopsy-proven MASH: 171 with non- or mild fibrosis (F0-F2) and 131 with advanced fibrosis (F3-F4) recruited from seven university hospitals located in different cities in Spain. BFS, Fibrosis-4 (FIB-4) Index, NAFLD Fibrosis Score (NFS), Hepamet Fibrosis Score (HFS), and AST-to-Platelet Ratio Index (APRI) were calculated for each patient. The diagnostic accuracy of the scoring systems was determined according to the area under the receiver operating characteristic (AUROC) curve, sensitivity, specificity, positive (PPV) and negative (NPV) predictive values, and likelihood ratios (LR). BFS showed higher overall accuracy than the other liver fibrosis algorithms calculated in the study cohort, presenting an AUROC of 0.750 for predicting advanced liver fibrosis (F3-F4), and correctly classifying 70.9% of F3-F4 patients with a sensitivity of 58.0%, a specificity of 80.7%, a 71.5% NPV, a 69.7% PPV, a 3.0 LR+, and a 0.5 LR-; the other predictive scores correctly classified a lower percentage of these patients (63.6% for FIB-4≥2.67, 63.2% for HFS≥0.47, 57.3% for APRI≥1.5 and 56.9% for NFS≥0.675). BFS eliminates the grey area as it uses a single cut-off value (0.46), which is its key advantage over the others, reducing the number of patients with undetermined results (43.4% for FIB 4, 39.1% APRI, 37.4% for HFS, and 24.1% NFS). In sum, BFS properly classified more patients with advanced liver fibrosis (F3-F4) than the other scoring systems, eliminating indeterminate results and improving risk stratification.es_ES
dc.description.sponsorshipWe acknowledge support from CIBERDEM (Instituto de Salud Carlos III -ISCIII-, Spain) to AGR, from CIBERINFEC (ISCIII, Spain) to RA, and from CIBEREHD (ISCIII, Spain) to JA, LIS, JMB, MRG and JMP. Also, we acknowledge support from the Scientific Network Enfermedades Metabólicas funded by the Consejo Superior de Investigaciones Científicas (CSIC), Spain. SCI was supported by a predoctoral contract (FI20-00296) from ISCIII (Spain) and Fondo Europeo para el Desarrollo Regional (FEDER, UE).es_ES
dc.format.extent5 p.es_ES
dc.language.isoenges_ES
dc.publisherBioMed Centrales_ES
dc.rights© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceBiomarker research, 2025, 13(1), 149es_ES
dc.subject.otherAdvanced liver fibrosises_ES
dc.subject.otherMASLDes_ES
dc.subject.otherMASHes_ES
dc.subject.otherBMP8A
dc.subject.otherBFS
dc.subject.otherNon-invasive diagnosis
dc.subject.otherValidationes_ES
dc.titleValidation of BMP8A fibrosis score to identify patients with metabolic dysfunction-associated steatohepatitis with advanced liver fibrosises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1186/s40364-025-00862-3es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1186/s40364-025-00862-3es_ES
dc.type.versionpublishedVersiones_ES


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© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International LicenseExcepto si se señala otra cosa, la licencia del ítem se describe como © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License