BACKGROUND: Orthotopic liver transplantation (OLT) is an effective treatment for fulminant hepatic failure (FHF), but postOLT mortality is higher for patients with FHF than for patients with other indications for OLT. In the current study, a large cohort of patients who underwent OLT for FHF was evaluated to develop and validate a system useful for estimating postOLT patient survival. METHODS: The 1,457 patients who underwent OLT for FHF in the United States between 1988 and 2003 were enrolled through the UNOS database. This group was divided into a modeling group (n=972) and a crossvalidation group (n=486). With a multivariate regression analysis, the modeling group was used to identify clinical parameters that had a significant association with postOLT survival. This regression analysis was used to create a scoring system that was subsequently assessed in the crossvalidation group. RESULTS: Four risk factors were identified with the multivariate analysis: 1) body mass index > or = 30 kg/m2; 2) serum creatinine > 2.0 mg/dL; 3) recipient age > 50 years old; and 4) history of life support. By assigning points based on the number of risk factors present, the scoring system was able to differentiate between low-risk patients (5-year survival, 81%) and high-risk patients (5-year survival, 42%). The relative risk of postOLT mortality increased by approximately 150% for each additional point. CONCLUSION: The scoring system risk-stratified the crossvalidation group and accurately predicted postOLT survival. A scoring system utilizing clinical and demographic information readily available prior to OLT may help predict the probability of survival after OLT for FHF.
BACKGROUND: Orthotopic liver transplantation (OLT) is an effective treatment for fulminant hepatic failure (FHF), but postOLT mortality is higher for patients with FHF than for patients with other indications for OLT. In the current study, a large cohort of patients who underwent OLT for FHF was evaluated to develop and validate a system useful for estimating postOLT patient survival. METHODS: The 1,457 patients who underwent OLT for FHF in the United States between 1988 and 2003 were enrolled through the UNOS database. This group was divided into a modeling group (n=972) and a crossvalidation group (n=486). With a multivariate regression analysis, the modeling group was used to identify clinical parameters that had a significant association with postOLT survival. This regression analysis was used to create a scoring system that was subsequently assessed in the crossvalidation group. RESULTS: Four risk factors were identified with the multivariate analysis: 1) body mass index > or = 30 kg/m2; 2) serum creatinine > 2.0 mg/dL; 3) recipient age > 50 years old; and 4) history of life support. By assigning points based on the number of risk factors present, the scoring system was able to differentiate between low-risk patients (5-year survival, 81%) and high-risk patients (5-year survival, 42%). The relative risk of postOLT mortality increased by approximately 150% for each additional point. CONCLUSION: The scoring system risk-stratified the crossvalidation group and accurately predicted postOLT survival. A scoring system utilizing clinical and demographic information readily available prior to OLT may help predict the probability of survival after OLT for FHF.
Authors: Frank V Schiødt; Raymond T Chung; Michael L Schilsky; J Eileen Hay; Erik Christensen; William M Lee Journal: Liver Transpl Date: 2009-11 Impact factor: 5.799
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Authors: Olivier Detry; Arnaud De Roover; Carla Coimbra; Jean Delwaide; Marie-France Hans; Marie-Hélène Delbouille; Joseé Monard; Jean Joris; Pierre Damas; Jacques Belaïche; Michel Meurisse; Pierre Honoré Journal: World J Gastroenterol Date: 2007-03-07 Impact factor: 5.742
Authors: Robert J Fontana; Caitlyn Ellerbe; Valerie E Durkalski; Amol Rangnekar; Rajender K Reddy; Todd Stravitz; Brendan McGuire; Timothy Davern; Adrian Reuben; Iris Liou; Oren Fix; Daniel R Ganger; Raymond T Chung; Mike Schilsky; Steven Han; Linda S Hynan; Corron Sanders; William M Lee Journal: Liver Int Date: 2014-07-28 Impact factor: 5.828
Authors: Norberto C Chavez-Tapia; Julio Martinez-Salgado; Julio Granados; Misael Uribe; Felix I Tellez-Avila Journal: World J Gastroenterol Date: 2007-03-28 Impact factor: 5.742