Scoring Systems for Predicting Mortality after Liver Transplantation
نویسندگان
چکیده
منابع مشابه
Scoring Systems for Predicting Mortality after Liver Transplantation
BACKGROUND Liver transplantation can prolong survival in patients with end-stage liver disease. We have proposed that the Sequential Organ Failure Assessment (SOFA) score calculated on post-transplant day 7 has a great discriminative power for predicting 1-year mortality after liver transplantation. The Chronic Liver Failure-Sequential Organ Failure Assessment (CLIF-SOFA) score, a modified SOFA...
متن کاملComparison of Different Scoring Systems Based on Both Donor and Recipient Characteristics for Predicting Outcome after Living Donor Liver Transplantation
BACKGROUND AND OBJECTIVES In order to provide a good match between donor and recipient in liver transplantation, four scoring systems [the product of donor age and Model for End-stage Liver Disease score (D-MELD), the score to predict survival outcomes following liver transplantation (SOFT), the balance of risk score (BAR), and the transplant risk index (TRI)] based on both donor and recipient ...
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CONTEXT Various scoring systems have been developed to predict mortality and morbidity in Intensive Care Unit (ICU), but different data has been reported so far. AIMS This retrospective clinical study aims to evaluate predictability of Acute Physiology and Chronic Health Evaluation II (APACHE II), APACHE IV, Simplified Acute Physiology Score III (SAPS III) scoring systems regarding with morta...
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Background: The outcome of the patients after liver transplant is complex and to characterize the risk for complications is not always easy. In this context, the hepatic post-reperfusion biopsy is capable of portraying alterations of prognostic importance. Aim: To compare the results of liver transplantation, correlating the different histologic features of the hepatic post-reperfusion biops...
متن کاملModified Charlson comorbidity index for predicting survival after liver transplantation.
The benefit of liver transplantation (LT) is determined not only by the severity of illness, but also by the likelihood of posttransplantation survival. Current models are unable to accurately predict which patients will have the best posttransplant survival. We hypothesized that the Charlson Comorbidity Index (CCI), which includes nine comorbidities, could be used to predict survival after LT....
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0107138