{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T20:31:49Z","timestamp":1792009909093,"version":"4.4.0"},"reference-count":34,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2024,8,4]],"date-time":"2024-08-04T00:00:00Z","timestamp":1722729600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["FIS PI18\/01304"],"award-info":[{"award-number":["FIS PI18\/01304"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI22\/01853"],"award-info":[{"award-number":["PI22\/01853"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["UEG Journal"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aim<\/jats:title>\n                    <jats:p>Type 2 Diabetes mellitus (T2DM), age, and obesity are risk factors for metabolic dysfunction\u2010associated steatotic liver disease (MASLD). We aimed to assess the performance of non\u2010invasive tests (NITs) for the diagnosis of metabolic dysfunction\u2010associated steatohepatitis (MASH) and fibrosis in high\u2010risk subjects.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Multicentre cross\u2010sectional study that included 124 biopsy\u2010proven MASLD in more than 50 years\u2010old patients with overweight\/obesity and T2DM. Vibration\u2010controlled transient elastography, Fibrosis\u20104 index (FIB\u20104), Non\u2010alcoholic fatty liver disease fibrosis score (NFS), OWLiver Panel (OWLiver DM2\u00a0+\u00a0Metabolomics\u2010Advanced Steatohepatitis Fibrosis Score \u2010MASEF) and FibroScan\u2010AST were performed. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the receiver operating characteristic curve (AUC) were calculated. NITs were assessed individually and in sequential\/parallel combinations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      35 (28.2%) patients had early MASH and 66 (53.2%) had MASH with significant fibrosis (at\u2010risk MASH). The OWLiver Panel correctly classified 86.1% as MASH, showing an accuracy, sensitivity, specificity, PPV, and NPV of 0.77, 0.86, 0.35, 0.85, and 0.36, respectively. Class III obesity, diabetes control, or gender did not impact on the performance of the OWLiver Panel (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&gt;\u00a00.1). NITs for at\u2010risk MASH showed an AUC\u00a0&gt;\u00a00.70 except for NFS. MASEF showed the highest accuracy and NPV for at\u2010risk MASH (AUC 0.77 [0.68\u20130.85], NPV 72%) and advanced fibrosis (AUC 0.80 [0.71\u20130.88], NPV 92%). Combinations of NITs for the identification of at\u2010risk MASH did not provide any additional benefit over using MASEF alone.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>One\u2010step screening strategy with the OWLiver Panel has high accuracy to detect MASH and at\u2010risk MASH in high\u2010risk subjects for MASLD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ueg2.12589","type":"journal-article","created":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T02:38:26Z","timestamp":1722825506000},"page":"919-929","source":"Crossref","is-referenced-by-count":16,"title":["One\u2010step non\u2010invasive diagnosis of metabolic dysfunction\u2010associated steatohepatitis and fibrosis in high\u2010risk population"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9476-1801","authenticated-orcid":false,"given":"Paula","family":"Iruzubieta","sequence":"first","affiliation":[{"name":"Gastroenterology and Hepatology Department Marqu\u00e9s de Valdecilla University Hospital Clinical and Translational Research in Digestive Diseases Valdecilla Research Institute (IDIVAL)  Santander Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rebeca","family":"Mayo","sequence":"additional","affiliation":[{"name":"OWL Metabolomics  Derio Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5707-4359","authenticated-orcid":false,"given":"Itziar","family":"Minchol\u00e9","sequence":"additional","affiliation":[{"name":"OWL Metabolomics  Derio Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ibon","family":"Mart\u00ednez\u2010Arranz","sequence":"additional","affiliation":[{"name":"OWL Metabolomics  Derio Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mar\u00eda Teresa","family":"Arias\u2010Loste","sequence":"additional","affiliation":[{"name":"Gastroenterology and Hepatology Department Marqu\u00e9s de Valdecilla University Hospital Clinical and Translational Research in Digestive Diseases Valdecilla Research Institute (IDIVAL)  Santander Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luis","family":"Iba\u00f1ez\u2010Samaniego","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology Gregorio Mara\u00f1\u00f3n General University Hospital Instituto de Investigaci\u00f3n Sanitaria Gregorio Mara\u00f1\u00f3n (IISGM) CIBERehd  Madrid 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