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ABSTRACT: Method
Data between January 2007 and December 2017 were extracted from the French prospective national database: CRISTAL. Competing risk analyses were performed to evaluate predictors of receiving LT. Competitive events were (1) death/WL removal for disease aggravation or (2) improvement. The link between grade obesity, grafts propositions, and reason for refusal was studied.Results
15,184 patients were analysed: 10,813 transplant, 2847 death/dropout for aggravation, 748 redirected for improvement, and 776 censored. Mortality/dropout were higher in BMI over 35 (18% vs. 14% 1 year after listing) than in other candidates. In multivariate analysis, BMI>35, age, hepatic encephalopathy, and ascites were independent predictors of death/dropout. Candidates with a BMI ≥ 35 kg/m2 had reduced access to LT, without differences in graft proposals. However, grafts refusal was more frequent especially for 'morphological incompatibility' (14.9% vs. 12.7% p < 0.01).Conclusion
BMI over 35 kg/m2 reduces access to LT with increased risk of dropout and mortality. Increased mortality and dropout could be due to a lower access to liver graft secondary to increased graft refusal for morphological incompatibility.
SUBMITTER: Delacote C
PROVIDER: S-EPMC9103369 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature

Delacôte Claire C Favre Mathilde M El Amrani Medhi M Ningarhari Massih M Lemaitre Elise E Ntandja-Wandji Line Carolle LC Bauvin Pierre P Boleslawski Emmanuel E Millet Guillaume G Truant Stephanie S Mathurin Philippe P Louvet Alexandre A Canva Valérie V Lebuffe Gilles G Pruvot François René FR Dharancy Sébastien S Lassailly Guillaume G
United European gastroenterology journal 20220426 4
Liver transplant (LT) candidates with a body mass index (BMI) over 40 kg/m<sup>2</sup> have lower access to a liver graft without clear explanation. Thus, we studied the impact of obesity on the waiting list (WL) and aimed to explore graft proposals and refusal.<h4>Method</h4>Data between January 2007 and December 2017 were extracted from the French prospective national database: CRISTAL. Competing risk analyses were performed to evaluate predictors of receiving LT. Competitive events were (1) d ...[more]