A quantitative model to predict blood use in adult orthotopic liver transplantation. Issue 3 (December 2015)

• Record Type: Journal Article
• Authors: Liu, Chang; Vachharajani, Neeta; Song, Shuang; Cooke, Rhonda; Kangrga, Ivan; Chapman, William C.; Grossman, Brenda J.
• Is Part Of: Transfusion and apheresis science. Volume 53:Issue 3(2015)
• Page Start: 386
• Page End: 392
• Publication Date: 2015-12
• Subjects: Orthotopic liver transplantation -- Blood transfusion -- Hemoglobin -- International normalized ratio (INR) -- Model for End-Stage Liver Disease (MELD) score; Blood -- Transfusion -- Periodicals; Hemapheresis -- Periodicals; 615.39
• DOI: 10.1016/j.transci.2015.07.008
• Languages: English
• ISSNs: 1473-0502

Abstract

Abstract: To identify preoperative predictors for the use of any blood component during and after orthotopic liver transplantation (OLT), we performed a retrospective analysis on 602 OLT patients who were randomly split into a training set (n = 482) and a validation set (n = 120). Hemoglobin and calculated MELD score were identified as independent predictors for blood use using bootstrap aggregation. A logistic regression model constructed using both variables showed comparable performance in the training and validation sets. Predictive scores can be obtained from a nomogram, and a score above −2.328 predicted transfusion of any blood component with a positive predictive value of 97% and 96% in the training and validation sets, respectively.