Showing posts with label Organ Allocation. Show all posts
Showing posts with label Organ Allocation. Show all posts

March 14, 2014

Some Patients Receive Unnecessary Prioritization for Liver Transplantation, Penn Medicine Study Finds

February 5, 2014

Findings Could Influence Process for Allocation of Scarce Organ Resources

PHILADELPHIA — Patients waiting for liver transplants who develop hepatopulmonary syndrome (HPS), a lung disorder associated with end-stage liver disease, are eligible to move up on the wait list. In a new paper published in Gastroenterology, however, Penn Medicine researchers argue the so-called “exception points” given to these patients award some HPS patients unnecessary priority over others on the list, which includes about 17,000 patients

The current U.S. transplant allocation system prioritizes patients based on medical urgency using the Model for End Stage Liver Disease (MELD) score, which takes into account the expected three-month survival due to end-stage liver disease, but does not consider other, unrelated medical complications.  As a result, a system that allows wait-list candidates with certain conditions, HPS among them, to be eligible for exception points to increase their waitlist priority has been developed.

“To examine the impact of HPS MELD exception points on outcomes, we examined the relationship between patients’ blood oxygen levels and outcomes in a national cohort of patients who received HPS exception points, and compared survival in HPS vs. non-HPS patients,” says David Goldberg, MD, MSCE, instructor of Medicine at the Perelman School of Medicine of the University of Pennsylvania and lead author on the study.

HPS is found in approximately 20 percent of patients awaiting liver transplant and is associated with a worse health-related quality of life. The condition is known to double the risk of death among patients evaluated for liver transplantation. 

The Penn researchers looked at data from February 2002, the date the exception point program commenced, to December 2012.  During this time, 973 patients on the liver transplant list received HPS exception points. While post-transplant survival was similar in HPS vs. non-HPS patients, post-transplant survival in HPS patients varied based on the severity of pre-transplant oxygen saturation levels. 

The team found that patients with the poorest oxygen saturation levels (lower than 44 mm Hg) had a significantly lower three-year post-transplant patient survival rate. 

Comparatively, significantly more non-HPS waitlisted patients, who did not receive exception points, died on the waitlist or within 90 days of waitlist removal, while a great proportion of HPS waitlist candidates were transplanted (73 percent vs. 43 percent).  In addition, the study showed that only 49 percent of HPS transplant recipients had clear evidence of clinical indications for transplantation aside from HPS, as compared with 89 percent of non-HPS transplant recipients.

The findings refute recent reports and demonstrate an association between pre-transplant oxygen levels and post-transplant mortality, suggesting that the criteria for doling out exception points be adjusted based on patients’ oxygenation, and suggesting an over-prioritization of all HPS patients in the current system.

This study represents the largest analysis of liver transplant waitlist candidates with HPS to date.

“These data, we hope, can provide some guidance to UNOS, as the exception point policy comes under revision,” says Goldberg.  “As organs are a scarce resource, we want to make it easier for the patients in the most urgent need to be prioritized as such, according to evidence-based criteria.”

###

Penn Medicine is one of the world's leading academic medical centers, dedicated to the related missions of medical education, biomedical research, and excellence in patient care. Penn Medicine consists of the Raymond and Ruth Perelman School of Medicine at the University of Pennsylvania (founded in 1765 as the nation's first medical school) and the University of Pennsylvania Health System, which together form a $4.3 billion enterprise.

The Perelman School of Medicine has been ranked among the top five medical schools in the United States for the past 17 years, according to U.S. News & World Report's survey of research-oriented medical schools. The School is consistently among the nation's top recipients of funding from the National Institutes of Health, with $392 million awarded in the 2013 fiscal year.

The University of Pennsylvania Health System's patient care facilities include: The Hospital of the University of Pennsylvania -- recognized as one of the nation's top "Honor Roll" hospitals by U.S. News & World Report; Penn Presbyterian Medical Center; Chester County Hospital; Penn Wissahickon Hospice; and Pennsylvania Hospital -- the nation's first hospital, founded in 1751. Additional affiliated inpatient care facilities and services throughout the Philadelphia region include Chestnut Hill Hospital and Good Shepherd Penn Partners, a partnership between Good Shepherd Rehabilitation Network and Penn Medicine.

Penn Medicine is committed to improving lives and health through a variety of community-based programs and activities. In fiscal year 2013, Penn Medicine provided $814 million to benefit our community.

Source

February 6, 2014

Some receive unnecessary prioritization for liver transplantation, says Penn Medicine study

PUBLIC RELEASE DATE: 5-Feb-2014

Contact: Lee-Ann Landis Donegan
leeann.donegan@uphs.upenn.edu
215-349-5660
University of Pennsylvania School of Medicine

Findings could influence process for allocation of scarce organ resources

(PHILADELPHIA) – Patients waiting for liver transplants who develop hepatopulmonary syndrome (HPS), a lung disorder associated with end-stage liver disease, are eligible to move up on the wait list. In a new paper published in Gastroenterology, however, Penn Medicine researchers argue the so-called "exception points" given to these patients award some HPS patients unnecessary priority over others on the list, which includes about 17,000 patients.

The current U.S. transplant allocation system prioritizes patients based on medical urgency using the Model for End Stage Liver Disease (MELD) score, which takes into account the expected three-month survival due to end-stage liver disease, but does not consider other, unrelated medical complications. As a result, a system that allows wait-list candidates with certain conditions, HPS among them, to be eligible for exception points to increase their waitlist priority has been developed.

"To examine the impact of HPS MELD exception points on outcomes, we examined the relationship between patients' blood oxygen levels and outcomes in a national cohort of patients who received HPS exception points, and compared survival in HPS vs. non-HPS patients," says David Goldberg, MD, MSCE, instructor of Medicine at the Perelman School of Medicine of the University of Pennsylvania and lead author on the study.

HPS is found in approximately 20 percent of patients awaiting liver transplant and is associated with a worse health-related quality of life. The condition is known to double the risk of death among patients evaluated for liver transplantation.

The Penn researchers looked at data from February 2002, the date the exception point program commenced, to December 2012. During this time, 973 patients on the liver transplant list received HPS exception points. While post-transplant survival was similar in HPS vs. non-HPS patients, post-transplant survival in HPS patients varied based on the severity of pre-transplant oxygen saturation levels.

The team found that patients with the poorest oxygen saturation levels (lower than 44 mm Hg) had a significantly lower three-year post-transplant patient survival rate.

Comparatively, significantly more non-HPS waitlisted patients, who did not receive exception points, died on the waitlist or within 90 days of waitlist removal, while a great proportion of HPS waitlist candidates were transplanted (73 percent vs. 43 percent). In addition, the study showed that only 49 percent of HPS transplant recipients had clear evidence of clinical indications for transplantation aside from HPS, as compared with 89 percent of non-HPS transplant recipients.

The findings refute recent reports and demonstrate an association between pre-transplant oxygen levels and post-transplant mortality, suggesting that the criteria for doling out exception points be adjusted based on patients' oxygenation, and suggesting an over-prioritization of all HPS patients in the current system.

This study represents the largest analysis of liver transplant waitlist candidates with HPS to date.

"These data, we hope, can provide some guidance to UNOS, as the exception point policy comes under revision," says Goldberg. "As organs are a scarce resource, we want to make it easier for the patients in the most urgent need to be prioritized as such, according to evidence-based criteria."

###

Penn Medicine is one of the world's leading academic medical centers, dedicated to the related missions of medical education, biomedical research, and excellence in patient care. Penn Medicine consists of the Raymond and Ruth Perelman School of Medicine at the University of Pennsylvania (founded in 1765 as the nation's first medical school) and the University of Pennsylvania Health System, which together form a $4.3 billion enterprise.

The Perelman School of Medicine has been ranked among the top five medical schools in the United States for the past 16 years, according to U.S. News & World Report's survey of research-oriented medical schools. The School is consistently among the nation's top recipients of funding from the National Institutes of Health, with $398 million awarded in the 2012 fiscal year.

The University of Pennsylvania Health System's patient care facilities include: The Hospital of the University of Pennsylvania -- recognized as one of the nation's top "Honor Roll" hospitals by U.S. News & World Report; Penn Presbyterian Medical Center; Chester County Hospital; Penn Wissahickon Hospice; and Pennsylvania Hospital -- the nation's first hospital, founded in 1751. Additional affiliated inpatient care facilities and services throughout the Philadelphia region include Chestnut Hill Hospital and Good Shepherd Penn Partners, a partnership between Good Shepherd Rehabilitation Network and Penn Medicine.

Penn Medicine is committed to improving lives and health through a variety of community-based programs and activities. In fiscal year 2012, Penn Medicine provided $827 million to benefit our community.

Source

January 20, 2014

Better allocation of donated livers in transplants

Provided by MedicalXpress

January 20, 2014

betteralloca

Volume rendering image created with multi detector computed tomography (MDCT) source image./ Credit: I-Chen Tsai-Wikipedia

Researchers at the University of Cordoba (Spain) have developed a system that measures compatibility between donors and the most serious receivers in liver transplants. This is a mathematical method that includes the experience of almost 1,500 donations registered in transplant units in Spain and the United Kingdom.

The allocation criteria for organs in Spain, the worldwide transplant leader and example, are set according to territorial and clinical aspects that guarantee altruism in donations and equality of access. Nevertheless, there are still some aspects of the allocation of organs that could be improved, according to a study by researchers in the University of Cordoba.

In the case of liver transplants, the properties of the owner such as the blood group -which must match that of the receiver- as well as the seriousness of the patient, measured with the so-called Model for End Stage Liver Disease (MELD), are taken into account. The result is a number obtained from the patient's bilirubin, creatinine and prothrombin time figures that serve to prioritise the waiting list according to the risk of mortality in the following three months.

"In this donor/receiver assessment, other variables that would optimise the compatibility between them and that could be a decisive factor in the results of the transplant are not assessed," explained María Pérez Ortiz, one of the authors. "We therefore propose an improvement that favours the principles of justice for the receiver and of utility of the transplant, matches the waiting times to the mortality risk on the active list and improves survival."

Specifically, the team, comprising researchers in the University and Reina Sofía Hospital in Cordoba, has developed an allocation model that would allocate each organ to each of the most serious receivers from whom the one with the maximum survival probability is chosen. The details are published in the journal Applied Soft Computing.

"This system respects the principle of urgency required by the MELD model and discriminates between receivers on a waiting list who theoretically would have a better prognosis but who, transplanted with a specific liver, would benefit from a better survival," explain the researchers, adding, "The interactions set up in the transplant procedure are more complex than those arising simply from matching a good donor with a very serious receiver."

Automated learning techniques have been used to create the model, an area of computing that imitates the brain when it comes to learning from experience and from known data. In fact, the application is based on 38 variables (age, gender, body mass index, existence of diabetes, arterial hypertension, etc.) taken from almost 1,500 donor/receiver pairs in seven Spanish transplant units and one in King's College Hospital, London.

Together with the survival time of the transplanted liver, these variables serve to train the model which is then used to match donor/receiver pairs with a given survival time, specifically, whether the transplant survives for 15 days after the operation, for three months, for a year or more, so that it is very useful to assess the suitability of the allocations made.

According to data published this week by the Ministry of Health, Social Services and Equality, 1,093 liver transplants were carried out in 2013 in Spain, where the historic series adds up to almost 22,000.

Explore further: Spain transplants hit record despite crisis

More information: M. Pérez-Ortiz, M. Cruz-Ramírez, M.D. Ayllón-Terán, N. Heaton, R. Ciria, C. Hervás-Martínez. "An organ allocation system for liver transplantation based on ordinal regression". Applied Soft Computing 14: 88-98, 2014.

Provided by Plataforma SINC

Source

November 12, 2013

Surge of Liver Cancer Patients on Transplant Waitlists

Medscape Medical News > Conference News

Miriam E. Tucker

November 12, 2013

WASHINGTON, DC — Patients with hepatocellular carcinoma account for an increasing proportion of patients infected with hepatitis C on the waiting list for liver transplantation, a retrospective cohort study has found.

"We feel that primary prevention for hepatocellular carcinoma will be key to reversing this trend," Jennifer Flemming, MD, from Queen's University in Kingston, Ontario, told Medscape Medical News.

"In patients with hepatitis C, viral eradication is the most important step in reducing an individual's risk of developing hepatocellular carcinoma," she explained. "As the landscape of antiviral treatment continues to evolve and become easier from both the patient and clinician perspective, we would hope that increased rates of sustained viral response result in a lower incidence of hepatocellular carcinoma and, subsequently, a decrease in the number of individuals listed."

Dr. Flemming presented the findings here at The Liver Meeting 2013. She began the work as a clinical research fellow at the University of California, San Francisco.

Patients with hepatocellular carcinoma are given an exception to the Model for End-Stage Liver Disease (MELD) score, developed by the United Network for Organ Sharing (UNOS) to prioritize patients in most urgent need of liver transplantation. The MELD score, which ranges from 6 to 40, takes into account bilirubin, prothrombin time, and creatinine. Patients with scores of 16 and above are considered to be transplant candidates. Patients with hepatocellular carcinoma are automatically given extra points.

Dr. Flemming's team examined data from the Scientific Registry of Transplant Recipients, which includes all liver transplant waitlist candidates in the United States.

Of the 20,325 patients with liver disease related to hepatitis C infection (about 30% of the total), the indication for listing was end-stage liver disease for 12,724 patients and hepatocellular carcinoma for 7061. Those listed for hepatocellular carcinoma were older (56 vs 52 years; P < .001) and more likely to be male (79% vs 73%; P < .001) than those listed for end-stage liver disease.

More Hepatocellular Carcinoma

After adjustment for age and sex, the overall rate of patients with hepatitis C rose from 6.9 per 100,00 in 2003 to 10.2 per 100,000 in 2010 (P < .001). This was entirely due to the 12% annual increase in patients with hepatocellular carcinoma; the average annual increase in patients with end-stage liver disease was a nonsignificant 1%.

“The demand for liver transplantation for hepatocellular carcinoma will likely continue to rise.”

"Looking to the future, the demand for liver transplantation for hepatocellular carcinoma will likely continue to rise and further strain the donor pool," Dr. Flemming said. She added that this situation could "push the transplant community to consider nontransplant alternatives for the disease."

The researchers could not account for the plateau in transplant listings for end-stage liver disease in the hepatitis C population, but there are several hypotheses, Dr. Flemming told Medscape Medical News.

The management of patients with cirrhosis in the gastrointestinal and hepatology community could be improving, which might prevent or delay the development of liver decompensation.

"With the publication of clinical guidelines from the American Association for the Study of Liver Diseases [AASLD] on the management of ascites, esophageal varices, portal hypertension, and hepatocellular carcinoma, clinicians may be more educated and feel more comfortable managing complex patients than in the past," Dr. Flemming said.

In addition, increased viral clearance from recently available antiviral therapy for hepatitis C could be reducing the need for liver transplantation, she noted.

Unfair Advantage

There is general agreement within the hepatology community that this exception has become increasingly unfair to non-hepatocellular carcinoma patients with end-stage liver disease, said session moderator Susan Orloff, MD, from Oregon Health & Science University, and chief of the liver transplantation program at the Portland VA Medical Center.

"The issue is that we are overadvantaging patients with hepatocellular carcinoma," she told Medscape Medical News. "Despite the fact that the total number of waitlisted patients with hepatitis C has increased, that increase is solely due to patients with this carcinoma. We have to figure out an allocation system that allows non-hepatocellular carcinoma patients to have equal access to organs," said Dr. Orloff.

There have been attempts within the AASLD and UNOS to come up with a better way of allocating donor livers, she noted.

"We're in the process of trying to sort it out. Should we require a wait time for patients with hepatocellular carcinoma before they can get activated on the list? But how would you choose those patients?"

The key will be to identify genomic biomarkers in tumors that predict the likelihood of progression, Dr. Orloff said.

"I think we have to figure out a scoring system within the hepatocellular carcinoma group to see who has a greater likelihood of progressing, so we don't put them in the hold bucket," she explained. "Those who don't have a high risk of progression could wait 6 or 8 months. But it also depends on individual biology; it's a very difficult situation. There's no hard and fast answer."

Dr. Flemming and Dr. Orloff have disclosed no relevant financial relationships.

The Liver Meeting 2013: American Association for the Study of Liver Diseases (AASLD). Abstract 12. Presented November 3, 2013.

Source

November 11, 2013

Clinical applications of the Model for End-Stage Liver Disease (MELD) in hepatic medicine

Tsang Lau, Jawad Ahmad
Division of Liver Diseases, Mount Sinai School of Medicine, New York, USA

Abstract: The Model for End-Stage Liver Disease (MELD) score incorporates serum bilirubin, creatinine, and the international normalized ratio (INR) into a formula that provides a continuous variable that is a very accurate predictor of 90-day mortality in patients with cirrhosis. It is currently utilized in the United States to prioritize deceased donor organ allocation for patients listed for liver transplantation. The MELD score is superior to other prognostic models in patients with end-stage liver disease, such as the Child–Turcotte–Pugh score, since it uses only objective criteria, and its implementation in 2002 led to a sharp reduction in the number of people waiting for liver transplant and reduced mortality on the waiting list without affecting posttransplant survival. Although mainly adopted for use in patients waiting for liver transplant, the MELD score has also proved to be an effective predictor of outcome in other situations, such as patients with cirrhosis going for surgery and patients with fulminant hepatic failure or alcoholic hepatitis. Several variations of the original MELD score, involving the addition of serum sodium or looking at the change in MELD over time, have been examined, and these may slightly improve its accuracy. The MELD score does have limitations in situations where the INR or creatinine may be elevated due to reasons other than liver disease, and its implementation for organ allocation purposes does not take into consideration several conditions that benefit from liver transplantation. The application of the MELD score in prioritizing patients for liver transplantation has been successful, but further studies and legislation are required to ensure a fair and equitable system.

Keywords: MELD score, liver transplantation

Cirrhosis is typically a progressive condition characterized by marked fibrosis and nodule formation in the liver due to a number of causes. It is usually irreversible and led to over 30,000 deaths in the United States in 2009, making it the 12th leading cause of mortality.1 Cirrhotic patients can have well-compensated disease with little or no symptoms or present with decompensated disease, including ascites, encephalopathy, or gastrointestinal bleeding, due to portal hypertension. These latter patients are candidates for liver transplantation (LT).2

There are currently 15,000 patients awaiting LT in the United States, and only 6000–6500 transplants are performed annually; meanwhile, there is a 10% rate of death on the waiting list.3 Historically, allocation of deceased donor (DD) organs for LT was based primarily upon the amount of time a patient spent on the waiting list and subjective measures of disease severity. In 1998, the US Department of Health and Human Services issued its “Final Rule,” calling on the transplant community to establish a set of objective criteria in prioritizing patients for transplant that were most at need.4 Subsequently, the Model for End-Stage Liver Disease (MELD) was developed and adapted as a prognostic tool in advanced liver disease and is now used by UNOS to prioritize DD organ allocation for patients listed for LT.5 The validity of the MELD score has since been shown in a variety of clinical scenarios to prognosticate the outcome in patients with advanced liver disease.

Continue here to read complete article (PDF) …..

July 11, 2013

Use redistricting maps to make organ allocation more equitable, researchers advocate

Provided by Medical Xpress

July 11, 2013

Using the same type of mathematical formulas used to draw political redistricting maps, Johns Hopkins researchers say they have developed a model that would allow for the more equitable allocation of livers from deceased donors for transplantation.

Currently, in the United States, where you live dictates the availability of a liver transplant. Studies show that geography can mean the difference between a 10 percent chance of dying while on the waiting list for a donor liver, and a 90 percent chance, the researchers say. The new model depends not on the longstanding relationships among medical centers used to create the current unbalanced system, but on making the distribution of organs as equitable as possible, they say.

"This is gerrymandering for the public good," says study leader Dorry L. Segev, M.D., Ph.D., an associate professor of surgery and epidemiology at the Johns Hopkins University School of Medicine. "We have applied to transplantation the same math used for political redistricting, school assignments, wildlife preservation and zoning issues." A report on the research is published in online in the American Journal of Transplantation.

"Some geographic areas have very good access to donated organs and some have desperate gaps between organ supply and organ demand," says co-author Sommer Gentry, Ph.D., a research associate in the department of surgery at Johns Hopkins and an associate professor of mathematics at the U.S. Naval Academy. "Our model helps decrease geographic disparity. It's not fair that where you live so vastly affects your ability to get a transplant. We want to fix that."

Currently, patients with the most severe disease go to the top of the liver transplant waiting list. But the list isn't a single national list; instead, it is subdivided according to location. Thus, the sickest person in one region may be much sicker than the person in a nearby region who gets a new liver, simply because the second region has a greater supply—or smaller demand—for organs.

In 2009, the late Apple founder Steve Jobs, who lived in Northern California, famously underwent a liver transplant in Memphis, Tenn. There, he had put himself on one of the shortest waiting lists in the country. In Tennessee in 2006, it took 48 days to receive a liver transplant, compared with 306 days nationally. Jobs was able to do this because he had the financial resources to immediately fly to Tennessee when the liver became available. His situation brought national attention to the large geographic disparities in liver transplantation.

Segev, a transplant surgeon, says that if a patient from San Francisco or New York City needed a liver transplant, it would be difficult to recommend one of the great transplant centers in those cities because the wait is so long.

In developing their new allocation model, the Johns Hopkins researchers essentially redistricted the regions by analyzing supply, demand and access factors for 6,700 deceased donors, 28,063 liver transplant candidates and 242,727 changes in 2010 to what is known as MELD (Model for End-Stage Liver Disease), a score that categorizes the sickest patients on the list at any given time.

The optimal regional sharing map they created would reduce geographic disparity by half, while significantly reducing waitlist deaths.

Segev, the director of clinical research for transplant surgery at Johns Hopkins, says that the geographic disparity in the current allocation system violates government rules that say geography shouldn't affect organ supply.

He says he hopes the United Network for Organ Sharing, the private, nonprofit organization that manages the nation's organ transplant system under contract with the federal government, will act on this new model.

Explore further: Most liver transplant candidates receive donation offers

Journal reference: American Journal of Transplantation

Provided by Johns Hopkins University School of Medicine

Source

February 22, 2012

Rationing life-saving resources – how should allocation policies be assessed in solid organ transplantation

REVIEW

Transplant International

Volume 25, Issue 1, pages 3–6, January 2012

James Neuberger

Article first published online: 8 SEP 2011

DOI: 10.1111/j.1432-2277.2011.01327.x

© 2011 The Author. Transplant International © 2011 European Society for Organ Transplantation

Summary

Because the demand for solid organ transplantation exceeds the availability of donated grafts, there needs to be rationing for this life-saving procedures. Criteria for selection of patients to a national transplant list and allocation of donated organs should be transparent yet there is no consistent approach to the development of such guidelines. It is suggested that selection and allocation policies should comply with minimum standards including defining of aims of the allocation process and desired outcome (whether maximizing benefit or utility or ensuring equity of access), inclusion and exclusion criteria, criteria for futility and suspension and removal from the transplant list, appeals processes, arrangements for monitoring and auditing outcomes and processes for dealing with noncompliance. Furthermore, guidelines must be consistent with legislation even though this may compete with public preference. Guidelines must be supported by all stakeholders (including health-care professionals, donor families and potential transplant candidates). However, there must also be flexibility to allow for exceptions and to support innovation and development.

Solid organ transplantation is primarily a life-saving procedure. Because of the shortfall between the number of people who could benefit from a transplant and the availability of organs, this life-saving procedure must be rationed. Therefore, there needs to be clear criteria for selection (who gets on to the transplant list) and allocation (who receives a donated organ) of organs from deceased donors.

The aim of this review is to suggest criteria by which such policies should be assessed rather than suggest which approach should be adopted.

Criteria for selection

Listing everyone who might benefit will reflect the need for transplantation but will make managing the list difficult and give many an unrealistic hope of a graft, although some may feel that a small chance is better than none. If access to the list is to be restricted to the availability of organs, then that basis needs to be determined and revised as organ availability changes.

Criteria for allocation

There are several different approaches to organ allocation. In the US, livers from deceased donors are allocated using an approach to reduce the mortality on the waiting list; in contrast, donated lungs are allocated according to a model of transplant benefit.

Need

A needs-based policy prioritizes those at greatest risk of death. While the impact of such a policy has had varying success, in general it has been successful [1] but is associated with increased cost and denies access to transplantation to those with good organ function but an unacceptable quality of life that is corrected by transplantation. The rights of the dying to a life-saving graft must be balanced with those with an intolerable quality of life.

Outcome

Outcomes can be considered in various ways: from listing or transplantation, for patient or graft, absolute or adjusted for quality of life; choice of outcomes will impact on criteria and may be difficult to predict [2].

Utility

Allocation according to utility, in effect, places the survival of the graft as the priority.

Benefit

Allocation according to benefit will give the graft to that recipient who will have the maximum benefit when survival without and with transplant are estimated. Because the recipient with the shortest anticipated survival without transplantation may well be the sickest, the post transplant survival may be reduced compared with a less sick recipient and so the utility reduced and health-care costs increased [3]. To avoid futility, the concept of minimum benefit is generally accepted: for liver recipients, this is usually and arbitrarily taken as at least a 50% probability of surviving 5 years with a quality of life that is acceptable to the recipient [4].

Equity

In this context, equity has a variety of meanings. Equity of access may mean that every person in need of a transplant will have a similar opportunity, regardless of other factors such as age, gender, co-morbidities and expected survival with or without a transplant. Organs could be allocated on a first-come first-served basis; however, this approach would have to be modified to include those factors that significantly affect outcome such as blood group or donor-recipient size match. Equity of access may mean that those with similar characteristics will all be treated in the same way. Geographic equity implies people awaiting a graft will have the same chance of getting a graft irrespective of where they live or receive treatment.

Justice, fairness and prejudice

Most people have clear opinions that selection and allocation should be fair and just yet such concepts are poorly defined. The public gives high priority to children (irrespective of benefit) and low priority to those with self-induced (or perceived self-induced) disease: value to society and ability to pay should not be factors [5,6]. Public opinion, as expressed by the media, is inconsistent: anger was expressed both when a liver was given and denied to individuals with alcohol-related liver injury [7,8].

Most allocation processes are dependent on models that predict outcome. Models give potentially misleading reassurance as survival probabilities have wide confidence intervals and are based on historical data; data may be incomplete and collected differently in different units, key data may not be collected or even recognized. There are other considerations. Most models of survival are static ones and their validity in a dynamic situation, with repeated application over time, should be confirmed before widespread adoption. Furthermore, because there are usually many potential recipients for an offered organ, ranking based on small differences may lead to inequity. More importantly perhaps, extrapolation from matched donor/recipient pair to a nonmatched combination may give misleading information.

Although transplantation is usually associated with a significant improvement in the quality of life, yet there are relatively few studies assessing the quality of life and outcomes have usually focussed on survival. It could be argued that allocation should be based not just on survival (absolute or benefit) but quality of life adjusted life-years gained.

It should be clear whether survival is considered for the patient (from either listing or transplant), for the graft. If the focus of allocation is based on most efficient use of scarce resources (organs), then the prime outcome should be graft survival.

Local or national allocation?

Donated organs may be allocated on a national, regional or local basis. National allocation systems require the development and acceptance of validated, objective models of ranking patients according to agreed criteria. Advantages include objectivity and transparency: however, a significant proportion of offers are not accepted for the first candidate [9]. Selection of the next ranked recipient may add to the cold ischaemic time and so reduce the viability of the graft. Local allocation requires the local team to select the recipient: this will allow inclusion of clinical factors that are not included in the models and possibly better matching of donor and recipient. This approach is usually not as objective or transparent as national allocation, requires an audit trail and a process to ensure fairness between centres.

Transplantation and the law

Transplantation is, quite rightly, subject to legal constraints and challenge. Discrimination is illegal where it is based on age, gender, ethnicity or disability. Access to transplantation should be independent of occupation, life-style, ability to pay, value to society. Disability and age are relevant if, and only if, they affect the outcome of transplantation and cannot be obviated by available interventions.

Other issues
Exceptions

Few policies can encompass every eventuality so provision has to be made for consideration of the exceptional case. Most clinicians consider their duty of care to the patient in front of them and will rightly act as the patient’s advocate. Where there is a rationed resource, allocation of a life-saving organ to one individual will deny another. Thus, the advocate should not make a unilateral decision to list or not an individual but there needs to be a clear, defined process to balance the rights of the exceptional case with the rights of others.

Innovation and research

There are concerns that strict policies will prevent innovation and research [10]. Thus, policies must allow evaluation of new indications and procedures.

Age

The public prioritizes younger recipients although this is counter to age discrimination legislation. The ‘good innings’ argument supports disadvantaging the older recipient. Younger recipients could be prioritized as transplantation may allow catch-up growth and less time on dialysis may prevent psychological and behavioural problems later [11,12]. The younger recipient is more likely to tolerate surgery than the older recipient and is more likely to have greater benefit in terms of life-time survival [13]. Thus, there may be justification for prioritizing younger recipients; this should be done on the basis of utility or benefit rather than age.

Ethnicity

Discrimination on the grounds of ethnicity is both morally and legally unacceptable. The relatively low donation rates amongst some ethnic groups [14] may lead to lower rates of transplantation where blood group and tissue type are relevant. It needs to be agreed whether equity (in terms of waiting time) should compete with utility.

Compliance

There needs to be clear systems in place to assess and respond to noncompliance.

Unforeseen outcomes

Following the example of the US, man countries have adopted an allocation system based on the MELD score, which is used to prioritise livers to those at greatest risk of death awaiting transplantation. The approach is transparent and based on objective laboratory measurements. There are well described limitations, such as concerns about the accuracy of the model, the measurement of the constituent analytes, but there are other limitations: the model virtually excludes from deceased donor transplantation those with good liver function but a poor quality of life from, for example, chronic encephalopathy or intractable pruritus, but also in some countries, notably Germany, is said to have contributed to worse outcomes [15].

How should policies be assessed?

If donated organs are considered a national, life-saving resource, policies should be transparent and clear to all those involved. Against this background, how should selection and allocation policies be developed and evaluated? There is no reason why similar considerations for all organs. For example, in renal failure, patients can be managed with dialysis even though quality of life and length of life is inferior to transplantation; some of those in heart failure may be helped by ventricular assist devices whereas there exists no support for those in liver failure.

Although the responsibility for selection and allocation policies are given to a statutory body, their development and endorsement should be by several stakeholders, including not only those health-care clinicians who look after potential and actual transplant patients, but representatives of patients, their families and carers, donor representatives, ethicists and other interested parties.

It is suggested that the policies on selection and allocation should address the following questions:

  1. Are the aims of the policy defined?
  2. Have the competing aims of allocation been considered and balanced? The aims of allocation may be single or multiple
  3. Are the aims supported by the health-care clinicians, ethicists, representatives from patient groups, donor families and the informed general public.
  4. Is there a minimum level of benefit and, if so, what is this benefit and how is this defined?
  5. Are there criteria for futility?
  6. Are the policies based on objective and validated criteria?
  7. Are the policies compatible with current national legislation?
  8. How and when will the outcomes be reviewed
  9. How often are the aims, implementation reviewed (and revised if appropriate)?
  10. What is the process for managing exceptions?
  11. How will the policies be adapted to support innovation and development?
  12. How will noncompliance be managed?

References

Source