<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>155(12)</volume><submitter>Avolio AW</submitter><pubmed_abstract>&lt;h4>Importance&lt;/h4>Expansion of donor acceptance criteria for liver transplant increased the risk for early allograft failure (EAF), and although EAF prediction is pivotal to optimize transplant outcomes, there is no consensus on specific EAF indicators or timing to evaluate EAF. Recently, the Liver Graft Assessment Following Transplantation (L-GrAFT) algorithm, based on aspartate transaminase, bilirubin, platelet, and international normalized ratio kinetics, was developed from a single-center database gathered from 2002 to 2015.&lt;h4>Objective&lt;/h4>To develop and validate a simplified comprehensive model estimating at day 10 after liver transplant the EAF risk at day 90 (the Early Allograft Failure Simplified Estimation [EASE] score) and, secondarily, to identify early those patients with un</pubmed_abstract><journal>JAMA surgery</journal><pagination>e204095</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7593884</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Development and Validation of a Comprehensive Model to Estimate Early Allograft Failure Among Patients Requiring Early Liver Retransplant.</pubmed_title><pmcid>PMC7593884</pmcid><pubmed_authors>Burra P</pubmed_authors><pubmed_authors>Dondossola D</pubmed_authors><pubmed_authors>Bassi D</pubmed_authors><pubmed_authors>Schlegel A</pubmed_authors><pubmed_authors>Ferla F</pubmed_authors><pubmed_authors>Colledan M</pubmed_authors><pubmed_authors>Rossi M</pubmed_authors><pubmed_authors>Teofili L</pubmed_authors><pubmed_authors>Cillo U</pubmed_authors><pubmed_authors>Meli S</pubmed_authors><pubmed_authors>Gruttadauria S</pubmed_authors><pubmed_authors>Vivarelli M</pubmed_authors><pubmed_authors>Vitale A</pubmed_authors><pubmed_authors>Spoletini G</pubmed_authors><pubmed_authors>Carraro A</pubmed_authors><pubmed_authors>De Simone P</pubmed_authors><pubmed_authors>Bongini M</pubmed_authors><pubmed_authors>Alrawashdeh W</pubmed_authors><pubmed_authors>Hammond J</pubmed_authors><pubmed_authors>Montalti R</pubmed_authors><pubmed_authors>Camagni S</pubmed_authors><pubmed_authors>Muiesan P</pubmed_authors><pubmed_authors>Caccamo L</pubmed_authors><pubmed_authors>Mazzaferro V</pubmed_authors><pubmed_authors>De Carlis L</pubmed_authors><pubmed_authors>Romagnoli R</pubmed_authors><pubmed_authors>Di Benedetto F</pubmed_authors><pubmed_authors>Cescon M</pubmed_authors><pubmed_authors>Pagano D</pubmed_authors><pubmed_authors>Lai Q</pubmed_authors><pubmed_authors>Avolio AW</pubmed_authors><pubmed_authors>Patrono D</pubmed_authors><pubmed_authors>Violi P</pubmed_authors><pubmed_authors>Agnes S</pubmed_authors><pubmed_authors>Franco A</pubmed_authors><pubmed_authors>Ravaioli M</pubmed_authors><pubmed_authors>Magistri P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Development and Validation of a Comprehensive Model to Estimate Early Allograft Failure Among Patients Requiring Early Liver Retransplant.</name><description>&lt;h4>Importance&lt;/h4>Expansion of donor acceptance criteria for liver transplant increased the risk for early allograft failure (EAF), and although EAF prediction is pivotal to optimize transplant outcomes, there is no consensus on specific EAF indicators or timing to evaluate EAF. Recently, the Liver Graft Assessment Following Transplantation (L-GrAFT) algorithm, based on aspartate transaminase, bilirubin, platelet, and international normalized ratio kinetics, was developed from a single-center database gathered from 2002 to 2015.&lt;h4>Objective&lt;/h4>To develop and validate a simplified comprehensive model estimating at day 10 after liver transplant the EAF risk at day 90 (the Early Allograft Failure Simplified Estimation [EASE] score) and, secondarily, to identify early those patients with un</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Dec</publication><modification>2026-04-29T08:21:54.703Z</modification><creation>2025-05-31T23:52:35.207Z</creation></dates><accession>S-EPMC7593884</accession><cross_references><pubmed>33112390</pubmed><doi>10.1001/jamasurg.2020.4095</doi></cross_references></HashMap>