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Item Admission Factor V Predicts Transplant-Free Survival in Acute Liver Failure(Springer, 2021) Patidar, Kavish R.; Davis, Brian C.; Slaven, James E.; Ghabril, Marwan S.; Kubal, Chandrashekhar A.; Lee, William M.; Stravitz, Richard T.; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public HealthBackground and aims: Traditional laboratory markers are insensitive in distinguishing between patients with acute liver failure (ALF) who will require urgent liver transplantation (LT) from those who will recover spontaneously, particularly within 24 h of presentation. Coagulation factor-V (FV) may improve the accuracy of outcome prediction in ALF due to its predominant synthesis in the liver and short half-life in plasma. Methods: Patients enrolled in the ALF Study Group Registry from a single site had FV determined within 24 h of presentation (Derivation-Cohort). Area under the receiver operating characteristic curves (AUROC) dichotomized by ALF etiology [acetaminophen (APAP) or non-APAP] were constructed to evaluate the diagnostic performance of FV for transplant-free-survival (TFS). Multivariate logistic regression modeling was performed using FV and other clinical variables to predict TFS. Accuracy of FV and multivariable model were performed in a Validation-Cohort from a different site. Results: 90-patients (56% with APAP) were included in the Derivation-Cohort. Median FV was significantly higher in TFS versus those who died/LT (31% vs. 15%, respectively; p = 0.001). When dichotomized by etiology, AUROC for FV was 0.77 for APAP (cutoff, sensitivity, specificity 10.5%, 79%, 69%, respectively) and 0.77 for non-APAP (22%, 85%, 67%, respectively). When the optimal cutoffs for FV in the Derivation-Cohort were applied to the Validation-Cohort (N = 51; 59% with APAP), AUROC for FV was 0.75 for APAP (sensitivity/specificity 81/44) and 0.95 for non-APAP (sensitivity/specificity 90/73). In multivariate analyses, AUROC for FV model was 0.86 in the Derivation-Cohort and 0.90 in the Validation-Cohort. Conclusion: Admission FV may improve selection of patients who are likely to improve without LT.Item Substantial hepatic necrosis is prognostic in fulminant liver failure(Baishideng Publishing Group, 2017-06-21) Ndekwe, Paul; Ghabri, Marwan S.; Zang, Yong; Mann, Steven A.; Cummings, Oscar W.; Lin, Jingmei; Pathology and Laboratory Medicine, School of MedicineAIM: To evaluate if any association existed between the extent of hepatic necrosis in initial liver biopsies and patient survival. METHODS: Thirty-seven patients with fulminant liver failure, whose liver biopsy exhibited substantial necrosis, were identified and included in the study. The histological and clinical data was then analyzed in order to assess the relationship between the extent of necrosis and patient survival, with and without liver transplantation. The patients were grouped based on the etiology of hepatic necrosis. Each of the etiology groups were then further stratified according to whether or not they had received a liver transplant post-index biopsy, and whether or not the patient survived. RESULTS: The core tissue length ranged from 5 to 44 mm with an average of 23 mm. Causes of necrosis included 14 autoimmune hepatitis, 10 drug induced liver injury (DILI), 9 hepatitis virus infection, and 4 unknown origin. Among them, 11 showed submassive (26%-75% of the parenchymal volume) and 26 massive (76%-100%) necrosis. Transplant-free survival was worse in patients with a higher extent of necrosis (40%, 71.4% and 100% in groups with necrosis of 76%-100%, 51%-75% and 26%-50%, respectively). Additionally, transplant-free survival rates were 66.7%, 57.1%, and 25.0% in groups of autoimmune hepatitis, DILI, and viral hepatitis, respectively. Even after liver transplantation, the survival rate in patients as a result of viral hepatitis remained the lowest (80%, 100%, and 40% in groups of autoimmune hepatitis, DILI, and viral hepatitis, respectively). CONCLUSION: Adequate liver biopsy with more than 75% necrosis is associated with significant transplant-free mortality that is critical in predicting survival.