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Frequency of and reasons behind non-listing in adult patients referred for liver transplantation: Results from a retrospective study

作     者:Marco Biolato Luca Miele Giuseppe Marrone Claudia Tarli Antonio Liguori Rosaria Calia Giovanni Addolorato Salvatore Agnes Antonio Gasbarrini Maurizio Pompili Antonio Grieco 

作者机构:Department of Medical and Surgical SciencesCEMADFondazione Policlinico Universitario Agostino Gemelli IRCCSRome 00168Italy Department of Translational Medicine and SurgeryCatholic University of Sacred HeartRome 00168Italy 

出 版 物:《World Journal of Transplantation》 (世界移植杂志)

年 卷 期:2024年第14卷第2期

页      面:99-106页

学科分类:1002[医学-临床医学] 100210[医学-外科学(含:普外、骨外、泌尿外、胸心外、神外、整形、烧伤、野战外)] 10[医学] 

主  题:Controindication Eligibility Evaluation Referral Personalized medicine 

摘      要:BACKGROUND Few studies have evaluated the frequency of and the reasons behind the refusal of listing liver transplantation *** To assess the ineligibility rate for liver transplantation and its *** A single-center retrospective study was conducted on adult patients which entailed a formal multidisciplinary assessment for liver transplantation *** predictors for listing were evaluated using multivariable logistic *** In our center,314 patients underwent multidisciplinary work-up before liver transplantation enlisting over a three-year *** most frequent reasons for transplant evaluation were decompensated cirrhosis(51.6%)and hepatocellular carcinoma(35.7%).The non-listing rate was 53.8%and the transplant rate was 34.4%for the whole *** hundred and five motivations for ineligibility were *** most common contraindications were psychological(9.3%),cardiovascular(6.8%),and surgical(5.9%).Inappropriate or premature referral accounted for 76(37.1%)*** multivariable analysis,a referral from another hospital(OR:2.113;95%CI:1.259–3.548)served as an independent predictor of *** A non-listing decision occurred in half of our cohort and was based on an inappropriate or premature referral in one case out of *** referral from another hospital was taken as a strong predictor of non-listing.

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