{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T17:09:07Z","timestamp":1790356147938,"version":"4.1.0"},"reference-count":28,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Liver International"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>It remains unclear whether different factors influence 30\u2010 and 90\u2010day readmission rates. We identified predictors of 90\u2010day mortality in a global cohort of hospitalised patients with cirrhosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Variables associated with 30\u2010 and 90\u2010day post\u2010discharge readmission, liver transplantation (LT), and mortality were compared in prospectively enrolled, non\u2010electively hospitalised adult patients with cirrhosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We enrolled 4208 patients from 125 centres across 37 countries. Alcohol\u2010related liver disease was the most common aetiology of cirrhosis (40%), followed by hepatitis B virus infection (21%); 47% were readmitted, 8% received liver transplantation (LT), and 23% died within 90\u2009days post\u2010discharge. In multivariable analysis, country income was significantly associated with both 30\u2010 and 90\u2010day readmission rates, the receipt of LT, and mortality within 30 and 90\u2009days post\u2010discharge (all\n                      <jats:italic>p<\/jats:italic>\n                      \u2010values &lt;\u20090.001). Independent predictors of higher rates of 30\u2010 and 90\u2010day readmissions, respectively, were disease severity (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.003), prior ascites (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.025,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.016), prior hospitalisation (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), hyponatremia (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.008), and in\u2010hospital vasopressor use (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.002,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.011). Prior variceal bleeding independently predicted higher 90\u2010day readmission rates, whereas age, disease severity, mechanical ventilation, and in\u2010hospital vasopressor use (all,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) increased odds of 30\u2010 and 90\u2010day post\u2010discharge death. Additionally, admission (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.011) and nosocomial (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.022) infections increased the odds of 90\u2010day post\u2010discharge death.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In a global cohort of hospitalised patients with cirrhosis, patients in high\u2010income countries exhibited the highest rates of 30\u2010 and 90\u2010day readmission, alongside lower mortality rates and a higher incidence of LT. Variables that predict 30\u2010day readmission also predicted 90\u2010day readmission. Understanding these disparities is essential for achieving health equity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/liv.70804","type":"journal-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T09:23:12Z","timestamp":1785316992000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Comparison of Factors Associated With 30\u2010Day and 90\u2010Day Readmission Among a Global Cohort of Patients Hospitalised With Cirrhosis"],"prefix":"10.1111","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8840-5472","authenticated-orcid":false,"given":"Ramazan","family":"Idilman","sequence":"first","affiliation":[{"name":"Ankara University School of Medicine  Ankara T\u00fcrkiye"},{"name":"Ankara University Hepatology Institute  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5683-3031","authenticated-orcid":false,"given":"Busra","family":"Haktaniyan","sequence":"additional","affiliation":[{"name":"Ankara University School of Medicine  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6540-2623","authenticated-orcid":false,"given":"Ashok","family":"Choudhury","sequence":"additional","affiliation":[{"name":"Institute of Liver and Biliary Sciences  Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9263-8869","authenticated-orcid":false,"given":"Florence","family":"Wong","sequence":"additional","affiliation":[{"name":"Toronto General Hospital, University Health Network, University of Toronto  Toronto Ontario 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C.","family":"Hayes","sequence":"additional","affiliation":[{"name":"Division of Health Sciences, Deanery of Clinical Sciences University of Edinburgh  Edinburgh UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5001-246X","authenticated-orcid":false,"given":"Mario Reis","family":"Alvares\u2010da\u2010Silva","sequence":"additional","affiliation":[{"name":"Hospital de Cl\u00ednicas de Porto Alegre, Universidade Federal do Rio Grande do Sul  Porto Alegre Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9299-3075","authenticated-orcid":false,"given":"Aldo","family":"Torre","sequence":"additional","affiliation":[{"name":"Gastroenterology Department ABC Medical Center  Mexico City Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8421-5476","authenticated-orcid":false,"given":"Jacob","family":"George","sequence":"additional","affiliation":[{"name":"Storr Liver Centre, The Westmead Institute for Medical Research and Westmead Hospital University of Sydney  Sydney New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9012-313X","authenticated-orcid":false,"given":"Wai\u2010Kay","family":"Seto","sequence":"additional","affiliation":[{"name":"Hong Kong University  Hong Kong SAR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6504-3755","authenticated-orcid":false,"given":"Brian","family":"Bush","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University and Richmond VA Medical Center  Richmond Virginia 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