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Original Article
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Volume 331:760-764 September 22, 1994 Number 12
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Equitable Allocation of HLA-Compatible Kidneys for Local Pools and for Minorities
Steve Takemoto, Paul I. Terasaki, David W. Gjertson, and J. Michael Cecka

 

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ABSTRACT

Background The methods used to allocate cadaveric kidneys in the United States have been criticized as being unfair to minorities because of an overemphasis on HLA matching. We evaluated a new HLA-matching method that might alleviate this problem.

Methods We used data from the United Network for Organ Sharing (UNOS) Kidney Transplant Registry to evaluate and project the outcome of cadaveric kidney transplantation. An HLA-matching method based on compatibility at 10 key amino acid residues of HLA-A and B molecules and a limited number of HLA-DR types was evaluated with use of the HLA types of the patients currently on the national waiting list and waiting lists in Los Angeles and Birmingham, Alabama.

Results With national kidney sharing, the projected 10-year rate of graft survival for transplants in which there were no HLA-A, B, or DR mismatches was 66 percent, as compared with 39 percent for transplants with more than two HLA-A, B, or DR mismatches. With local sharing, 43 percent of patients could be fully matched, and they had a projected 10-year graft-survival rate of 50 percent. When one HLA-DR mismatch was allowed, the projected 10-year graft survival was 46 percent, and 67 percent of patients waiting locally could receive such grafts. Even in Alabama, where 68 percent of the patients on the waiting list are black, 48 percent of waiting patients could obtain a matched kidney.

Conclusions Inserting two new HLA-matching categories into the UNOS point system for cadaveric kidney allocation would increase the number of patients for whom matches could be found in local pools.


The allocation systems for scarce cadaveric kidneys fall into three basic categories: physician-driven, patient-driven, and resource-driven. Although physicians have traditionally made all decisions regarding transplantations, the increased success and acceptance of the procedure have led the public and their congressional representatives to advocate a patient-driven system1. On the other hand, the resource-driven approach maintains that maximal life should be obtained from every available kidney. A typical cadaveric kidney from a 30-year-old donor has an expected additional functional life of 40 years. Yet today, because of incompatible matches, the average transplanted kidney is lost in only six years2. It would be reasonable to make every effort to direct these scarce organs toward patients who would keep them longer. Moreover, with respect to costs, it is only when a kidney survives more than five years that transplantation is less expensive than maintenance dialysis3.

The current kidney-allocation system of the United Network for Organ Sharing (UNOS) incorporates elements of each philosophy, allotting points for waiting time, presence of preformed anti-HLA antibodies, age, and levels of HLA compatibility. The patient with the most points rises to the top of the waiting list. The physician makes the final judgment whether or not that patient will receive an available kidney. When UNOS identifies a perfect HLA match somewhere in the United States, the kidney is sent to that recipient. Otherwise, most kidneys are transplanted locally. Through the UNOS six-antigen matching program, in which the recipient is matched to the donor for two antigens each in the HLA-A, B, and DR loci, projected survival at 20 years is 50 percent for grafts functioning at 1 year4. Such superior long-term graft survival not only benefits the recipient but also decreases the demand for subsequent kidneys because these patients do not need retransplantation.

The problem is that only 5 percent of patients receive a perfectly matched kidney, and the next best match does not yield a sufficiently high success rate to justify national sharing5,6. Gaston et al.7 recently argued that efficiency in terms of optimal transplantation success should not be a primary determinant in kidney allocation, for if such a policy were taken to the extreme, no kidneys would be transplanted to blacks because 50 percent of grafts functioning at one year survive for only five years in blacks, whereas the comparable figure in whites is eight years.

We describe an allocation system that could achieve maximal kidney function while providing equity for patients. It increases the number of matched patients by using the concept of permissible HLA-DR mismatches and matching for 10 widely shared HLA determinants identified by key amino acid residues of HLA-A and B molecules8,9.

Methods

The subjects in the study were 30,672 recipients of first cadaveric kidneys who underwent transplantation between October 1987 and August 1993 and were reported to the UNOS Scientific Renal Transplant Registry.

The humoral response to HLA-A and B molecules is almost always directed toward antigenic determinants shared by several HLA alleles (public determinants) that compose a limited portion of the HLA molecule. In a previous study,9 we determined that donor-recipient compatibility could be achieved by avoiding donor mismatches for the following 10 groups of amino acid residues representing some public determinants: threonine (T) at position 41, phenylalanine (F) at position 67, threonine-asparagine-threonine-glutamine-threonine-aspartate-arginine-glutamate-serine (TNTQTDRES) at positions 69 through 77, serine (S) at position 70, alanine-glutamine-threonine-aspartate (AQTD) at positions 71 through 74, asparagine (N) at position 80, arginine (R) at position 83, glutamine (Q) at position 114, arginine (R) at position 114, and lysine (K) at position 127. We retrospectively estimated the number of public HLA mismatches using a computer program to convert the donor and recipient HLA-A and B locus molecules to their respective sequences, selecting the key residues, and considering any of the key residues present in the donor's type but absent in the recipient as mismatched. Sequence data were available for all HLA molecules reported.

Public determinants are not well characterized for HLA-DR molecules. Two levels of mismatch were used for this antigen to increase the number of compatible donor-recipient combinations. First, HLA-DR mismatches were determined after we had converted all HLA-DR specificities to their broad designations; for example, DR15 or DR16 in the phenotype was converted to DR2. Second, we allowed one HLA-DR mismatch, termed a "permissible HLA-DR mismatch," identified retrospectively as having a low frequency of immunologic loss (with no HLA-A and B mismatches) in transplants from living related donors and shown to predict superior survival in cadaveric transplants in two separate studies8,10.

Graft survival was calculated by the product-limit method, and tests for the significance of differences between groups were performed by comparing differences in proportions with their appropriate standard errors. Asymptotic normality was assumed during the estimation of standard errors. Mismatch projections were calculated as described by Mickey et al.11 The recipient pool included the 32,184 HLA-typed patients currently awaiting transplantation in the United States. The first 2000 organ donors in 1992 were used in projections. Only recipients with their donor's ABO blood type were considered for each match run. The impact of matching was calculated as described by Gjertson et al.12 One-year rates of graft survival and the projected lengths of time at which 50 percent of the grafts functioning after the first year would still be functioning were used to estimate the 5- and 10-year graft survival for each matched group. The overall graft survival was adjusted for the projected matched fractions as previously described12.

We tested the racial bias inherent in the various algorithms using the 783 patients awaiting transplantation in Los Angeles during August 1993 and 522 patients awaiting transplantation in Birmingham, Alabama, in October 1993 (data on the latter group were provided by Dr. Arnold Deithelm). Since approximately 200 donor kidneys are allocated in these regions annually, 200 sequential donors from the two regions were used to test the models.

Results

The projected 10-year rate of graft survival for 30,672 recipients of first cadaveric transplants listed according to the number of HLA points accumulated in the current UNOS allocation system is shown in Figure 1. The high rate of success for transplants with no HLA-A, B, or DR mismatches is conspicuous. Unfortunately, patients with optimal matches constituted only a small fraction of the transplant recipients, as shown in the bar graph in Figure 1. More than 75 percent of the patients received transplants with two to four HLA-B and DR mismatches.


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Figure 1. Number of Points Allotted and Rates of Graft Survival under the Current UNOS System of Kidney Allocation, According to the Number of HLA Mismatches.

Graft survival after three years was projected on the basis of graft survival after one year. The inset shows the percentage of kidneys transplanted for each category of HLA mismatch.

 
In Table 1, we show how to select the transplants that would provide the next-best results after grafts with no HLA-A, B, or DR mismatches. The 1-year and projected 5- and 10-year rates of graft survival are listed for the conventional and the new matching methods. The percentage of grafts projected to survive after five years is included to indicate the break-even point. To assess the effect -- that is, the increase in graft survival that could be projected on implementation of the new matching system -- the percentage of patients who could benefit at each level of matching in local and national pools is indicated. Among the less than perfectly matched grafts, transplants with no HLA-B or DR mismatches and one HLA-A mismatch had a projected 10-year survival rate of 52 percent. However, in a local pool of 700 patients waiting for kidneys, only 16 percent could receive such grafts, as compared with 65 percent of the national pool. On the other hand, transplants with no broad HLA-DR mismatches and no public HLA-A or B mismatches had a projected 10-year survival rate of 50 percent and were identified for 43 percent of the local pool of 700 waiting patients. Among transplants with one permissible HLA-DR mismatch and no public HLA mismatches, the projected 10-year survival was slightly lower (46 percent), but such grafts could be provided for 67 percent of the local pool of 700 patients and 99 percent of the national pool of 32,000 patients. Among transplants with no broad HLA-DR mismatches, which could be supplied to every patient waiting in the national pool, the projected 10-year survival rate was 39 percent -- a rate similar to that for grafts with more than two HLA-A, B, and DR mismatches.

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Table 1. Projected Impact of the Two Matching Strategies.

 
Overall rates of graft survival were lower among black than among white recipients, and a smaller fraction of black recipients received compatible kidneys with the use of both the conventional and public HLA matching schemes. However, both the 1- and 10-year rates of graft survival were higher for blacks under the proposed system. The proportion of blacks identified with public HLA matches was more than double the proportion in the two highest HLA-match categories identified with the use of conventional HLA matching at the national level and five times as many would be considered matched at the local level.

The new HLA-match categories would identify a more racially balanced group of matched candidates in local pools, as shown in Figure 2. There is a comparison to be drawn between the distribution of candidates for transplantation in southern California, where there is a large Hispanic population, and the distribution in Alabama, where the majority of patients are black. The proposed matching categories identified a substantial fraction of blacks and nonwhites who could receive a matched graft. Most important, in both local pools, 30 to 40 percent of all patients in different ethnic or racial groups could obtain a matched graft.


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Figure 2. Estimated Percentage of Candidates for Kidney Transplantation, According to Race, in Southern California and Birmingham, Alabama, Who Could Receive a Matched Kidney under the Proposed System of Allocation.

Two hundred kidneys are allocated yearly at each location.

 
Only about 20 percent of donors would be histocompatible with waiting patients if the conventional criteria of no HLA-A, B, and DR mismatches; no HLA-B and DR mismatches; and no HLA-A and B mismatches were used (Figure 3). With the new matching scheme, however, nearly half of all allocated kidneys would be histocompatible with transplantation candidates (Figure 3). In addition to allowing more local patients to receive matched grafts, the new system identified multiple matched patients for more than a third of the kidneys. Under the new system, 5 percent of donors were matched to more than 10 waiting patients. Thirty-seven percent of the donors in southern California and 35 percent in Alabama were matched to at least two recipients. Conversely, with the conventional system, only 8 percent of donors in southern California and 10 percent of donors in Alabama were matched to more than one recipient. Therefore, the new matching system has the added advantage that waiting time will be the deciding factor when multiple patients with equivalent numbers of match points are identified.


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Figure 3. Percentage of Donors for Whom Multiple Matched Candidates for Transplantation Were Identified on the Southern California and Alabama Waiting Lists, According to the Method of HLA Matching Used.

 
The projected 10-year graft-survival rate of 54 percent that could be achieved by adding the new allocation scheme to that using no HLA-A, B, and DR mismatches for national sharing was comparable to the survival rate projected for parental donor transplants matched for one haplotype (Figure 4). When the new matching method was used in local pools, the projected rates of graft survival were lower but still represented a substantial improvement over the current projections. If, after the national allocation of kidneys matched for six antigens, less than perfectly matched kidneys were first allocated locally, incorporating the proposed match points, and then shared nationally if no local recipients were available, overall graft survival would be the same as that projected for national sharing.


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Figure 4. Estimated 10-Year Survival Rates for Primary Cadaveric Kidneys Shared Nationally or Locally after Matching with Public HLA Determinants.

Current survival rates for primary cadaveric kidneys and parental-donor grafts projected to 10 years are included as reference points. The half-life is the number of years after transplantation during which 50 percent of the grafts will be functioning.

 
From the above data, we propose that the UNOS point system be modified slightly to insert the two categories of public HLA matching and permissible HLA-DR mismatches, as shown in Table 2. The number of points allotted for each item is suggested on the basis of the projected 10-year graft survival. The number of points allotted for waiting time may need to be revised depending on various factors within local pools.

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Table 2. Proposed UNOS System of Allocating Points for Local Pools of Patients Awaiting Kidney Transplantation.

 
Discussion

The UNOS point system for kidney allocation as practiced in the United States has recently been criticized5,6,7. The most serious charge was that the emphasis on HLA matching discriminates against blacks. One proposed solution was to award extra points to black patients7. We object to this proposal on the grounds that extra points awarded from the first day to anyone on the basis of skin color or claims of ancestry are equally unjust for others. We proposed a two-pronged solution to the problem. First, by adjusting the way in which we look at HLA mismatches, HLA match points awarded for public HLA matching would be distributed more equally between whites and blacks. When matched for these broad HLA groups, patients of both races would benefit in terms of graft survival and the proportion of matched transplants. Second, under the proposed matching scheme, there would be more matched recipients from whom a selection could be made for each donor. This means that the matched patient who had waited the longest would be selected. If the matching system is too restrictive, too few patients are considered for a given donor and those who have been waiting for an especially long time are at a disadvantage.

The UNOS point system allows the adjustment of points for matching and waiting time. Matching, which represents the resource-driven factor, and waiting time, which represents the patient-driven factor, are the major components controlling distribution. On the basis of our findings, we propose altering the UNOS point system as indicated in Table 2. The most important modification is that only two factors would be considered: the HLA match, to improve long-term survival, and waiting time. Gradations in numbers of match points are made according to the projected 10-year rate of graft survival. If subsequent analyses show that a different point allotment for matching is warranted, the points can easily be changed. The basic point structure is the same as that used for the past five years, the only difference being the inclusion of two new categories.

With respect to waiting time, the new calculation allocates 0.1 point per month of waiting. Since many patients may receive the same number of match points in the public HLA matching categories, waiting time would serve as the tiebreaker. Such a system would also ensure that patients who have waited five or more years would be considered with recently listed matched recipients in the top four groups and promoted to the next level with each year of waiting. Candidates for a second or subsequent transplantation and those who have preformed anti-HLA antibodies against many donors may wait longer but will gain points simply by waiting. Patients with rare HLA types could also achieve equity by accumulating waiting points.

It is particularly important to note that the proposed matching method can be very effective in local pools of patients awaiting a transplantation. Shipping kidneys, other than those with zero HLA mismatches, long distances may be unnecessary. If the method proves successful locally, national sharing could be considered for kidneys that could not be matched to a local patient. In the meantime, under the new system, kidneys shipped nationally as a payback for kidneys matched for six antigens could be allocated as a nationally matched group.

The HLA antigens are the main barrier to long-term success in kidney transplantation. The enormous diversity of these antigens makes good matches between donors and recipients rare, and good matches are even rarer when the racial backgrounds of donors and recipients are dissimilar. These studies based on the outcomes of more than 30,000 kidney transplantations suggest that by avoiding mismatches of 10 public HLA-A and B determinants instead of 84 alleles and of 10 HLA-DR antigens instead of 18, we can achieve high rates of long-term success and provide matched kidneys for a more racially balanced population of waiting patients.

Supported in part by a grant (2R01 DK 02375-34A1) from the National Institute of Diabetes and Digestive and Kidney Diseases and a contract from the United Network for Organ Sharing.

We are indebted to Dr. Arnold Deithelm and Ms. Sharon Hudson for providing HLA-typing data for their waiting-list candidates and most recent donors.


Source Information

From the Tissue Typing Laboratory, Department of Surgery, UCLA.

Address reprint requests to Mr. Takemoto at the UCLA Tissue Typing Laboratory, 950 Veteran Ave., Los Angeles, CA 90024.

References

  1. McDonald JC. The National Organ Procurement and Transplantation Network. JAMA 1988;259:725-726. [Free Full Text]
  2. Terasaki PI, Cecka JM, Gjertson DW, Cho Y, Takemoto S, Cohn M. A ten-year prediction for kidney transplant survival. In: Terasaki PI, Cecka JM, eds. Clinical transplants 1992. Los Angeles: UCLA Tissue Typing Laboratory, 1993:501-12.
  3. Eggers P. Comparison of treatment costs between dialysis and transplantation. Semin Nephrol 1992;12:284-289. [Medline]
  4. Takemoto S, Terasaki PI, Cecka JM, Cho YW, Gjertson DW. Survival of nationally shared, HLA-matched kidney transplants from cadaveric donors. N Engl J Med 1992;327:834-839. [Abstract]
  5. Halaz NA. Toward a more equitable and utilitarian distribution of kidneys. Clin Transplant 1993;7:357-359. 
  6. Starzl TE, Demetris AJ, Trucco M. HLA matching and the point system. Clin Transplant 1993;7:353-356. 
  7. Gaston RS, Ayres I, Dooley LG, Diethelm AG. Racial equity in renal transplantation: the disparate impact of HLA-based allocation. JAMA 1993;270:1352-1356. [Free Full Text]
  8. Maruya E, Takemoto S, Terasaki PI. HLA matching: identification of permissible HLA mismatches. In: Terasaki PI, Cecka JM, eds. Clinical transplants 1993. Los Angeles: UCLA Tissue Typing Laboratory, 1994:511-20.
  9. Takemoto S, Gjertson DW, Terasaki PI. HLA matching: a comparison of conventional and molecular approaches. In: Terasaki PI, Cecka JM, eds. Clinical transplants 1992. Los Angeles: UCLA Tissue Typing Laboratory, 1993:413-34.
  10. van Rood JJ, Lagaaij EL, Doxiadis I, et al. Permissible mismatches, acceptable mismatches, and tolerance: new trends in decision making. In: Terasaki PI, Cecka JM, eds. Clinical transplants 1993. Los Angeles: UCLA Tissue Typing Laboratory, 1994:285-92.
  11. Mickey MR, Cook DJ, Terasaki PI. Recipient pool sizes for prioritized HLA matching. Transplantation 1989;47:401-403. [Medline]
  12. Gjertson DW, Terasaki PI, Takemoto S, Mickey MR. National allocation of cadaveric kidneys by HLA matching: projected effect on outcome and costs. N Engl J Med 1991;324:1032-1036. [Abstract]

 

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Related Letters:

HLA Matching in Renal Transplantation
Gaston R. S., Deierhoi M. H., Ayres I., Takemoto S., Terasaki P. I., Gjertson D. W., Cecka J. M., Held P. J., Port F. K., Hunsicker L. G., Kahan B. D., Sanfilippo F.
Extract | Full Text  
N Engl J Med 1995; 332:752-753, Mar 16, 1995. Correspondence

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