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A Model to Predict Significant Macrosteatosis in Hepatic Grafts

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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… Click to show full abstract

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.

Keywords: predict significant; model predict; macrosteatosis; history alcohol; significant macrosteatosis

Journal Title: World Journal of Surgery
Year Published: 2019

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