{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T20:25:24Z","timestamp":1770755124645,"version":"3.50.0"},"reference-count":31,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T00:00:00Z","timestamp":1660003200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Transplant Infectious Dis"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Carbapenem\u2010resistant <jats:italic>Enterobacterales<\/jats:italic> (CRE) colonisation at liver transplantation (LT) increases the risk of CRE infection after LT, which impacts on recipients\u2019 survival. Colonization status usually becomes evident only near LT. Thus, predictive models can be useful to guide antibiotic prophylaxis in endemic centres.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aims<\/jats:title><jats:p>This study aimed to identify risk factors for CRE colonisation at LT in order to build a predictive model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Retrospective multicentre study including consecutive adult patients who underwent LT, from 2010 to 2019, at two large teaching hospitals. We excluded patients who had CRE infections within 90 days before LT. CRE screening was performed in all patients on the day of LT. Exposure variables were considered within 90 days before LT and included cirrhosis complications, underlying disease, time on the waiting list, MELD and CLIF\u2010SOFA scores, antibiotic use, intensive care unit and hospital stay, and infections. A machine learning model was trained to detect the probability of a patient being colonized with CRE at LT.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 1544 patients were analyzed, 116 (7.5%) patients were colonized by CRE at LT. The median time from CRE isolation to LT was 5 days. Use of antibiotics, hepato\u2010renal syndrome, worst CLIF sofa score, and use of beta\u2010lactam\/beta\u2010lactamase inhibitor increased the probability of a patient having pre\u2010LT CRE. The proposed algorithm had a sensitivity of 66% and a specificity of 83% with a negative predictive value of 97%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We created a model able to predict CRE colonization at LT based on easy\u2010to\u2010obtain features that could guide antibiotic prophylaxis\n<jats:boxed-text content-type=\"graphic\" position=\"anchor\"><jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mimetype=\"image\/png\" position=\"anchor\" specific-use=\"enlarged-web-image\" xlink:href=\"graphic\/tid13920-gra-0001-m.png\"><jats:alt-text>image<\/jats:alt-text><\/jats:graphic><\/jats:boxed-text><\/jats:p><\/jats:sec>","DOI":"10.1111\/tid.13920","type":"journal-article","created":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T09:50:11Z","timestamp":1660038611000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Prediction models for carbapenem\u2010resistant <i>Enterobacterales<\/i> carriage at liver transplantation: A multicenter retrospective study"],"prefix":"10.1111","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9691-192X","authenticated-orcid":false,"given":"Maristela Pinheiro","family":"Freire","sequence":"first","affiliation":[{"name":"Hospital Epidemiology and Infection Control University of S\u00e3o Paulo School of Medicine Hospital das Cl\u00ednicas  S\u00e3o Paulo S\u00e3o Paulo Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3568-5973","authenticated-orcid":false,"given":"Matteo","family":"Rinaldi","sequence":"additional","affiliation":[{"name":"Infectious Diseases Unit Department of Medical and Surgical Sciences Policlinico Sant'Orsola Malpighi University of Bologna  Bologna Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4072-1761","authenticated-orcid":false,"given":"Debora Raquel 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