A Model to Predict Significant Macrosteatosis in Hepatic Grafts
Rattachement africain : Égypte, fr. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
BACKGROUND AND AIMS: Assessing the risk of significant macrosteatosis in donors is crucial before considering hepatic graft procurement. We aimed to build a model to predict significant macrosteatosis based on noninvasive methods. METHODS: From January 2012 to December 2018, liver attenuation indices and liver-to-spleen (L/S) ratio were measured in 639 brain-dead donors by local radiologists. Quantity and quality of steatosis were evaluated by an expert pathologist, blinded for attenuation indices measurement. RESULTS: Macrosteatosis ≥ 30% was found in 33 donors (5.2%). Body weight, body mass index (BMI), abdominal perimeters, history of alcohol abuse, L/S ratio, and liver parenchyma attenuation were associated with macrosteatosis ≥ 30%. The L/S ratio, BMI, and a history of alcohol abuse remained independent predictors in multivariate analysis and were used to build a predictive model (C-index: 0.77). The optimal cutoff to predict macrosteatosis ≥ 60% was 0.85. CONCLUSION: Our model, including L/S ratio, BMI, and history of alcohol, might be helpful to refine indication for liver biopsy before donation after brain death. External validation is required.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- A Model to Predict Significant Macrosteatosis in Hepatic Grafts
- Date Crossref
- 19/12/2019
- Éditeur
- Wiley
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.