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A revised model for end-stage liver disease optimizes prediction of mortality among patients awaiting liver transplantation.

ABSTRACT: The Model for End Stage Liver Disease (MELD) was originally developed based on data from patients who underwent the transjugular intrahepatic portosystemic shunt procedure. An updated MELD based on data from patients awaiting liver transplantation should improve mortality prediction and allocation efficiency.Wait-list data from adult primary liver transplantation candidates from the Organ Procurement and Transplantation Network were divided into a model derivation set (2005-2006; n=14,214) and validation set (2007-2008; n=13,945). Cox regression analysis was used to derive and validate an optimized model that updated coefficients and upper and lower bounds for MELD components and included serum levels of sodium. Main outcomes measure was ability to predict 90-day mortality of patients on the liver transplantation wait list.Optimized MELD score updated coefficients and implemented new upper and lower bounds for creatinine (0.8 and 3.0 mg/dL, respectively) and international normalized ratio (1 and 3, respectively). Serum sodium concentrations significantly predicted mortality, even after adjusting for the updated MELD model. The final model, based on updated fit of the 4 variables (ie, bilirubin, creatinine, international normalized ratio, and sodium) had a modest yet statistically significant gain in discrimination (concordance: 0.878 vs 0.865; P<.01) in the validation dataset. Utilization of the new score could affect up to 12% of patients (based on changed score for 459 of 3981 transplants in the validation set).Modification of MELD score to update coefficients, change upper and lower bounds, and incorporate serum sodium levels improved wait-list mortality prediction and should increase efficiency of allocation of donated livers.

SUBMITTER: Leise MD

PROVIDER: S-EPMC4546828 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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A revised model for end-stage liver disease optimizes prediction of mortality among patients awaiting liver transplantation.

Leise Michael D MD Kim W Ray WR Kremers Walter K WK Larson Joseph J JJ Benson Joanne T JT Therneau Terry M TM

Gastroenterology 20110218 7

<h4>Background & aims</h4>The Model for End Stage Liver Disease (MELD) was originally developed based on data from patients who underwent the transjugular intrahepatic portosystemic shunt procedure. An updated MELD based on data from patients awaiting liver transplantation should improve mortality prediction and allocation efficiency.<h4>Methods</h4>Wait-list data from adult primary liver transplantation candidates from the Organ Procurement and Transplantation Network were divided into a model ...[more]

PMID: 21334338

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Project description:Donor livers are offered to patients with the highest risk of death. How ascites could inform risk models to reduce liver transplant wait-list mortality is unclear. All adult candidates for primary liver transplantation for cirrhosis without exception points who were registered with the Organ Procurement and Transplantation Network from 2005 to 2007 composed our study cohort. Using Cox models and advanced discriminative metrics and paying attention to geographic disparities, we evaluated the additional risk discrimination of moderate ascites over that of the Model for End-Stage Liver Disease (MELD) or the Model for End-Stage Liver Disease plus serum sodium (MELD-Na) alone for the prediction of 90-day wait-list mortality. Additional analyses examined lower mortality risk candidates and those listed in high-demand, low-supply United Network for Organ Sharing regions in which accounting for ascites may most significantly affect wait-list mortality. Between 2005 and 2007, 18,124 subjects were listed for liver transplantation. Mortality was higher in patients with moderate ascites (15.4% versus 6.0%, P < 0.0001), and this risk persisted despite adjustments for MELD (hazard ratio = 1.58, 95% confidence interval = 1.42-1.76) and MELD-Na (hazard ratio = 1.42, 95% confidence interval = 1.28-1.58). The effect of moderate ascites was more prominent with a MELD score <21 (equal to 4.7 MELD units) or with a MELD-Na score <21 (equal to 3.5 MELD-Na units). Wait-list mortality was higher in patients with moderate ascites who were listed in high-demand, limited-supply regions (25.8% versus 17.5% at 1 year, P < 0.01). With the addition of moderate ascites, there was improvement in the overall risk model, particularly with a MELD score <21, as measured by the C index and integrated discrimination improvement. Moderate ascites informed risk prediction, particularly with a MELD score <21 and in high-demand, limited-supply regions. Under the MELD system, the presence of moderate ascites should prompt clinicians to consider strategies to expand access to transplantation, such as the use of extended donor liver grafts.

Project description:BACKGROUND & AIM:The goal of organ allocation is to distribute a scarce resource equitably to the sickest patients. In the United States, the Model for End-stage Liver Disease (MELD) is used to allocate livers for transplantation. Patients with greater MELD scores are at greater risk of death on the waitlist and are prioritized for liver transplant (LT). The MELD is capped at 40 however, and patients with calculated MELD scores >40 are not prioritized despite increased mortality. We aimed to evaluate waitlist and post-transplant survival stratified by MELD to determine outcomes in patients with MELD >40. METHODS:Using United Network for Organ Sharing data, we identified patients listed for LT from February 2002 through to December 2012. Waitlist candidates with MELD ?40 were followed for 30days or until the earliest occurrence of death or transplant. RESULTS:Of 65,776 waitlisted patients, 3.3% had MELD ?40 at registration, and an additional 7.3% had MELD scores increase to ?40 after waitlist registration. A total of 30,369 (46.2%) underwent LT, of which 2,615 (8.6%) had MELD ?40 at transplant. Compared to MELD 40, the hazard ratio of death within 30days of registration was 1.4 (95% CI 1.2-1.6) for patients with MELD 41-44, 2.6 (95% CI 2.1-3.1) for MELD 45-49, and 5.0 (95% CI 4.1-6.1) for MELD ?50. There was no difference in 1- and 3-year survival for patients transplanted with MELD >40 compared to MELD=40. A survival benefit associated with LT was seen as MELD increased above 40. CONCLUSIONS:Patients with MELD >40 have significantly greater waitlist mortality but comparable post-transplant outcomes to patients with MELD=40 and, therefore, should be given priority for LT. Uncapping the MELD will allow more equitable organ distribution aligned with the principle of prioritizing patients most in need. Lay summary: In the United States (US), organs for liver transplantation are allocated by an objective scoring system called the Model for End-stage Liver Disease (MELD), which aims to prioritize the sickest patients for transplant. The greater the MELD score, the greater the mortality without liver transplant. The MELD score, however, is artificially capped at 40 and thus actually disadvantages the sickest patients with end-stage liver disease. Analysis of the data advocates uncapping the MELD score to appropriately prioritize the patients most in need of a liver transplant.

Project description:BackgroundThe scarcity of grafts available necessitates a system that considers expected posttransplant survival, in addition to pretransplant mortality as estimated by the MELD. So far, however, conventional linear techniques have failed to achieve sufficient accuracy in posttransplant outcome prediction. In this study, we aim to develop a pretransplant predictive model for liver recipients' survival with benign end-stage liver diseases (BESLD) by a nonlinear method based on pretransplant characteristics, and compare its performance with a BESLD-specific prognostic model (MELD) and a general-illness severity model (the sequential organ failure assessment score, or SOFA score).Methodology/principal findingsWith retrospectively collected data on 360 recipients receiving deceased-donor transplantation for BESLD between February 1999 and August 2009 in the west China hospital of Sichuan university, we developed a multi-layer perceptron (MLP) network to predict one-year and two-year survival probability after transplantation. The performances of the MLP, SOFA, and MELD were assessed by measuring both calibration ability and discriminative power, with Hosmer-Lemeshow test and receiver operating characteristic analysis, respectively. By the forward stepwise selection, donor age and BMI; serum concentration of HB, Crea, ALB, TB, ALT, INR, Na(+); presence of pretransplant diabetes; dialysis prior to transplantation, and microbiologically proven sepsis were identified to be the optimal input features. The MLP, employing 18 input neurons and 12 hidden neurons, yielded high predictive accuracy, with c-statistic of 0.91 (P<0.001) in one-year and 0.88 (P<0.001) in two-year prediction. The performances of SOFA and MELD were fairly poor in prognostic assessment, with c-statistics of 0.70 and 0.66, respectively, in one-year prediction, and 0.67 and 0.65 in two-year prediction.Conclusions/significanceThe posttransplant prognosis is a multidimensional nonlinear problem, and the MLP can achieve significantly high accuracy than SOFA and MELD scores in posttransplant survival prediction. The pattern recognition methodologies like MLP hold promise for solving posttransplant outcome prediction.

Project description:Background and aimsThe Model for End-Stage Liver Disease (MELD) is used for clinical decision-making and organ allocation for orthotopic liver transplantation (OLT) and was previously upgraded through inclusion of serum sodium (Na) concentrations (MELD-Na). However, MELD-Na may underestimate complications arising from portal hypertension or infection. The von Willebrand factor (vWF) antigen (vWF-Ag) correlates with portal pressure and seems capable of predicting complications in patients with cirrhosis. Accordingly, this study aimed to evaluate vWF-Ag as an adjunct surrogate marker for risk stratification on the waiting list for OLT.Approach and resultsHence, WF-Ag at time of listing was assessed in patients listed for OLT. Clinical characteristics, MELD-Na, and mortality on the waiting list were recorded. Prediction of 3-month waiting-list survival was assessed by receiver operating characteristics and net reclassification improvement. Interestingly, patients dying within 3 months on the waiting list displayed elevated levels of vWF-Ag (P < 0.001). MELD-Na and vWF-Ag were comparable and independent in their predictive potential for 3-month mortality on the waiting list (area under the curve [AUC], vWF-Ag = 0.739; MELD-Na = 0.764). Importantly, a vWF-Ag cutoff at 413% identified patients at risk for death within 3 months of listing with a higher odds ratio (OR) than the previously published cutoff at a MELD-Na of 20 points (vWF-Ag, OR = 10.873, 95% confidence interval [CI], 3.160, 36.084; MELD-Na, OR = 7.594, 95% CI, 2.578, 22.372; P < 0.001, respectively). Ultimately, inclusion of vWF-Ag into the MELD-Na equation significantly improved prediction of 3-month waiting-list mortality (AUC, MELD-Na-vWF = 0.804).ConclusionsA single measurement of vWF-Ag at listing for OLT predicts early mortality. Combining vWF-Ag levels with MELD-Na improves risk stratification and may help to prioritize organ allocation to decrease waiting-list mortality.

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A revised model for end-stage liver disease optimizes prediction of mortality among patients awaiting liver transplantation.

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A revised model for end-stage liver disease optimizes prediction of mortality among patients awaiting liver transplantation.

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