MELD Exceptions and Rates of Waiting List Outcomes

A B Massie1, B Caffo, S E Gentry

  • 1Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Insights

Model for End-stage Liver Disease (MELD) exceptions for liver transplants are increasing and benefit patients. However, varying exception rates across organ procurement organizations (OPOs) may indicate geographic inequity in liver allocation.

Area of Science:

  • Transplantation science
  • Health services research
  • Organ allocation policy

Background:

  • The Model for End-stage Liver Disease (MELD) score is used for deceased donor liver allocation.
  • Exceptions to MELD-based allocation exist for patients with scores not reflecting true mortality risk.
  • Variations in exception practices among organ procurement organizations (OPOs) and over time are not well understood.

Purpose of the Study:

  • To investigate differences in MELD exception practices among OPOs.
  • To determine if the use of MELD exceptions has increased over time.
  • To assess whether patients receiving MELD exceptions have better outcomes compared to non-exception patients.

Main Methods:

  • Analysis of longitudinal data for 88,981 adult liver candidates from the United Network for Organ Sharing (2002-2010).
  • Examined proportions of Hepatocellular Carcinoma (HCC) and other MELD exceptions at OPO and regional levels.
  • Used multinomial logistic regression to compare waitlist mortality and transplant odds for exception vs. non-exception patients.

Main Results:

  • Significant variation in HCC and other exception rates existed across OPOs and regions.
  • The proportion of patients receiving HCC and other exceptions increased significantly from 2002 to 2008.
  • MELD exceptions (HCC and other) were associated with decreased waitlist mortality risk and increased odds of transplant.

Conclusions:

  • MELD exception policies provide advantages to patients, potentially improving transplant access and survival.
  • Geographic disparities in MELD exception rates among OPOs may indicate or create inequities in liver allocation.
  • Further research is needed to address the observed geographic variations in exception practices.

Related Concept Videos

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...