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Original Article
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Volume 345:1237-1242 October 25, 2001 Number 17
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A Comparison of the Survival of Shipped and Locally Transplanted Cadaveric Renal Allografts
Kevin C. Mange, M.D., M.S.C.E., Wida S. Cherikh, Ph.D., Jude Maghirang, M.S., and Roy D. Bloom, M.D.

 

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ABSTRACT

Background The effect on allograft survival of the shipment of cadaveric renal allografts from one organ-procurement organization to another is uncertain.

Methods Using data from the Organ Procurement and Transplantation Network of the United Network for Organ Sharing, we identified 5446 pairs of cadaveric kidneys (10,892 allografts) in which one kidney was shipped and the other was transplanted locally. We compared the risk of graft failure using statistical models that accounted for confounding variables, including the degree of HLA mismatching.

Results After adjustment for the degree of HLA mismatching, shipped organs had a significantly higher rate of allograft failure than locally transplanted organs in the first year after transplantation (adjusted hazard ratio, 1.17; 95 percent confidence interval, 1.05 to 1.31; P=0.004), but not thereafter. An association between the shipment of organs with no HLA mismatches and allograft failure was not confirmed.

Conclusions The shipment of cadaveric renal allografts increases the risk of failure of HLA-mismatched grafts during the first year after transplantation.


The policy of giving priority to potential recipients of cadaveric renal allografts who are matched with the donor at all six HLA loci (henceforth referred to as HLA-matched) has been in place since 1990 and is supported by a repeatedly demonstrated survival advantage.1,2,3 By necessity, national sharing of organs prolongs the duration of cold ischemia, but whether this affects the survival of the graft is unclear.1,2,3 We assessed whether the shipment of cadaveric renal allografts between organ-procurement organizations affects allograft survival.

Methods

Patients who received a cadaveric renal transplant between January 1, 1990, and December 31, 1998, were eligible. To minimize a selection bias for organs to be shared nationally on the basis of observed characteristics of the donors, we identified pairs of kidneys from cadaveric donors in which one kidney was used within an organ-procurement organization's local service area and the other was shipped by the organ-procurement organization for transplantation at a center served by another procurement organization. Patients who received multiorgan transplants were excluded. Follow-up continued through May 31, 2000.

Data were provided by the United Network for Organ Sharing. Variables that were considered potential confounders of the association between shipment and allograft survival were the age, sex, and race (black or nonblack) of the donor and the recipient; the cause of end-stage renal disease (diabetes, hypertension, glomerulonephritis, chronic interstitial nephritis, cystic kidney disease, or other); prior renal transplantation; the peak level of panel-reactive antibodies before transplantation (defined as the percentage of a panel of normal-donor cells that reacted with the recipient's serum); the year of transplantation; the number of cadaveric transplantations performed annually at the transplantation center; the use of antibody-induction therapy; and the duration of cold ischemia. The covariates considered after transplantation were delayed allograft function (defined by the use of dialysis within the first week) and acute rejection within the first year.

We compared the relevant characteristics of the donor, the recipient, and the graft between the group of patients who received shipped organs and the group of patients who received locally transplanted organs, with the use of the chi-square test for categorical variables and the t-test for continuous variables. The rate of allograft failure — defined by death, the initiation of long-term dialysis, or repeated transplantation — was compared between pairs of patients with a common donor. Log-rank statistics were used with the Kaplan–Meier product-limit method to evaluate the associations of individual covariates with allograft survival. The covariates with P values of less than 0.10 by the log-rank test were then entered in a forward and stepwise fashion into a multivariate Cox regression model to adjust for their relation with allograft survival.4,5 Variables remained in the multivariate model if their P values were less than or equal to 0.05 according to the Wald test. Because of the hypothesis that delayed allograft function, long duration of cold ischemia, or HLA mismatching may explain any differences observed between shipped and locally shared kidneys, these covariates were forced sequentially into the model.

Multivariate models were fitted with the results from pairs of patients who had complete data on all the covariates (95.6 percent of the eligible patients). No data were imputed. Curves for predicted allograft survival were then generated from the multivariate Cox models. The nonindependence of the kidneys from the same donor was accounted for in all analyses with the use of robust methods to provide a better estimate of the standard error of the hazard ratio.6 The assumption of proportional hazards was examined by weighted residual testing.7 We also assessed whether there was an interaction between shipment and HLA-matched transplants. All P values were two-sided. All analyses were performed with the use of Stata software (Stata, version 6.0, College Station, Tex.).

Results

Frequency of HLA Mismatching and Shipment of Organs

A total of 11,400 eligible patients, or 5700 pairs of patients, underwent transplantation from 1990 through 1998. Fifty-two patients (26 pairs) were excluded because of missing follow-up data, and 456 patients (228 pairs) were excluded because of missing information on the duration of cold ischemia. The known characteristics of the excluded pairs of patients were not significantly different from those of recipients included in these analyses, and the missing data were not related to shipment. In the cohort of 10,892 patients, 17.7 percent received an allograft with no HLA mismatches (9.1 percent of all patients received a graft with six HLA matches); 88.4 percent of these allografts were shipped. Among the shipped renal allografts, 31.4 percent were transplanted into recipients with no HLA mismatches. The proportion of shipped renal allografts transplanted into recipients with no HLA mismatches in this study increased from 17.4 percent in 1990 to 43.5 percent in 1998.

Characteristics of the Recipients

The relevant characteristics of the patients are presented in Table 1. In addition, recipients of shipped organs had a higher incidence of delayed graft function than recipients of locally transplanted organs (28.0 percent vs. 23.5 percent, P=0.001), and the two groups had similar unadjusted survival rates at five years (64.7 percent and 62.7 percent, P=0.50).

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Table 1. Characteristics of the Donors and Recipients, According to Whether the Renal Allograft Was Shipped or Transplanted Locally.

 
Allograft Survival and Shipment

An unadjusted univariate analysis showed that the following covariates were significantly associated with allograft failure (Table 2): the age, sex, and race of the donor and the recipient; the peak levels of panel-reactive antibodies; and the cause of end-stage renal disease. Therefore, these variables, in addition to the number of transplantations performed annually at the center and the year of transplantation, were entered into a multivariate Cox model and graft-survival curves were plotted (Figure 1). In contrast to the unadjusted analysis (Figure 1A), the adjusted analysis showed that the shipped allografts had a higher rate of failure than the kidneys that were transplanted locally, particularly within the first year after transplantation (Figure 1B). The higher rate of allograft failure associated with shipped renal allografts was more distinct after adjustment was also made for the degree of HLA mismatching (Figure 1C). The association between shipment and an increased risk of allograft failure was attenuated once the duration of cold ischemia was added to the variables adjusted for in the analysis, including the number of HLA mismatches (Figure 1D). These results suggest that HLA mismatching and the duration of cold ischemia are both important factors in the observed differences in survival between shipped and locally transplanted allografts, but they offset each other.

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Table 2. Univariate Associations of Relevant Factors with the Likelihood of Allograft Failure.

 

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Figure 1. Estimated Rates of Graft Survival before and after Adjustment for Various Factors, According to Whether the Graft Was Transplanted Locally or Shipped.

Panel A shows unadjusted survival rates. Panel B shows the survival rates adjusted for the concordance for sex, age, and race of the donor–recipient pairs; the cause of end-stage renal disease in the recipient; the peak level of panel-reactive antibodies; the number of transplantations performed annually in the center; and the year of transplantation. Panel C shows survival rates adjusted for all the preceding factors as well as number of HLA mismatches. Panel D shows the survival rates adjusted for all the preceding factors as well as the duration of cold ischemia.

 
Since the proportional-hazards assumption was violated by the weighted residual testing, the Cox models were then stratified according to the time after transplantation (one year or less, more than one but no more than three years [contingent, or "conditioned," on allograft survival at one year], and more than three years [contingent on allograft survival at three years]) to accommodate the inconstant relation of shipment with allograft survival (i.e., the fact that the hazard ratio changes over time).8 After adjustment for the age, sex, and race of the donor and the recipient; the cause of end-stage renal disease; the peak levels of panel-reactive antibodies; the number of transplantations performed annually at the center; and the year of transplantation, there was no significant increase in the risk of the failure of shipped allografts in the first year, as compared with locally transplanted allografts (adjusted hazard ratio, 1.06; 95 percent confidence interval, 0.96 to 1.18; P=0.27) (Table 3).

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Table 3. Results of the Multivariate Model of the Likelihood of the Failure of Shipped Allografts as Compared with Locally Transplanted Allografts, According to the Time after Transplantation.

 
After further adjustment was made for the number of HLA mismatches, however, the shipment of kidneys was associated with a 17 percent increase in the risk of allograft failure in the first year after transplantation (adjusted hazard ratio, 1.17; 95 percent confidence interval, 1.05 to 1.31; P=0.004). Adjustment for the duration of cold ischemia attenuated the increased risk of allograft failure in the first year that appeared to be associated with shipment (adjusted hazard ratio, 1.11; 95 percent confidence interval, 0.98 to 1.25; P=0.08) after HLA mismatching was taken into account.

These changes in the adjusted hazard ratios suggest that the degree of HLA mismatching and the duration of cold ischemia influence the survival of shipped allografts in the first year after transplantation, but these variables have offsetting effects on allograft survival. Beyond the first year after transplantation, there was no statistically significant association between shipment and allograft failure in the adjusted analyses. Acute rejection within the first year did not affect the risk of failure of shipped kidneys that survived for a minimum of one year. Because of the correlation between the duration of cold ischemia and delayed allograft function, we entered delayed allograft function into a separate model that included only patients who survived for the first seven days after transplantation and found that the associations were similar.

Survival According to the Number of HLA Mismatches

We investigated whether there was an interaction between the shipment of organs and the presence or absence of any HLA mismatches in terms of allograft survival. After we detected such an interaction (P=0.02), we then stratified the multivariate models according to the presence or absence of HLA matching in the two groups of allografts as a whole (shipped or locally transplanted) rather than in the groups of paired recipients (Table 4 and Table 5). Shipment was associated with a significant increase in the risk of failure of HLA-mismatched organs (adjusted hazard ratio, 1.17; 95 percent confidence interval, 1.04 to 1.30; P=0.006) in the first year after transplantation, as compared with locally transplanted HLA-mismatched organs (Table 4). This effect was related to the longer duration of cold ischemia of shipped organs and to the more frequent loss of allografts to acute rejection in the first year (20.5 percent, as compared with 17.3 percent in the group of locally transplanted allografts with HLA mismatches; P=0.06). Beyond the first year after transplantation, shipment was unrelated to the survival of either HLA-mismatched allografts (Table 4) or HLA-matched allografts (Table 5). The absolute rates of allograft survival were lower for shipped allografts irrespective of the degree of HLA matching (Table 6).

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Table 4. Results of the Multivariate Model of the Likelihood of the Failure of Shipped Allografts with at Least One HLA Mismatch as Compared with Locally Transplanted Allografts with at Least One HLA Mismatch, According to the Time after Transplantation.

 
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Table 5. Results of the Multivariate Model of the Likelihood of the Failure of Shipped Allografts with No HLA Mismatches as Compared with Locally Transplanted Allografts with No HLA Mismatches, According to the Time after Transplantation.

 
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Table 6. Predicted Absolute Rates of Allograft Survival in the First Year after Transplantation.

 
Discussion

We found a significantly higher rate of allograft failure (17 percent) within the first year among recipients of shipped allografts with HLA mismatches, an effect that can be explained by the longer duration of cold ischemia and by more frequent loss of allografts in the first year as a result of acute rejection.

Takemoto et al.2 recently reported that HLA-matched allografts have an estimated half-life of 12.4 years, as compared with an estimated half-life of 8.6 years for HLA-mismatched allografts. They suggested that the decreased frequency of acute rejection explained this difference. Held et al. also found that the survival of renal allografts with no HLA mismatches was longer than that of allografts with any degree of HLA mismatching3; the risk of allograft failure increased by 6 percent for every increase in the number of HLA mismatches. Held et al. also reported that the adjusted risk of allograft failure increases by 8 percent for every 12 hours of cold ischemia and concluded that the actual benefit of HLA matching would be small, because of the attendant increases in the duration of cold ischemia and its relation with decreased allograft survival.

Our findings suggest that the degree of HLA mismatching and the duration of cold ischemia are important determinants of the survival of shipped allografts, but the effect of one offsets the effect of the other. HLA-mismatched allografts also had a higher rate of acute rejection leading to the loss of the allograft in the first year. These findings are similar to findings in animal models, in which a prolonged duration of cold ischemia increased the severity of the immune response to the transplanted organ.9,10,11 We did not find a significant association between shipment and the one-year rate of allograft survival among kidneys with no HLA mismatches. Beyond the first year after transplantation, there were no significant associations between shipment and allograft survival for kidneys with or without HLA mismatches. We suggest that the survival of shipped allografts could be increased by better matching of HLA antigens.

Allograft survival appeared to be unrelated to whether the left or right kidney was transplanted, suggesting that anatomical factors are not significant. Because we did not classify shipped allografts according to the distance they were shipped, the effect of shipment may have been underestimated.

We conclude that the shipment of renal allografts is associated with an increased rate of organ failure in the first year after transplantation, but not subsequently. Shipped allografts that are better matched may have a short-term survival benefit as compared with organs that are less well matched and transplanted locally.

Presented in part at the annual meeting of the American Society of Transplantation, Chicago, May 12–16, 2001.


Source Information

From the Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania (K.C.M.), and the Renal–Electrolyte and Hypertension Division, Hospital of the University of Pennsylvania (K.C.M., R.D.B.) — both in Philadelphia; and the Department of Research, United Network for Organ Sharing, Richmond, Va. (W.S.C., J.M.).

Address reprint requests to Dr. Mange at 700 Clinical Research Bldg., 415 Curie Blvd., Philadelphia, PA 19104, or at kmange{at}cceb.med.upenn.edu.

References

  1. 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]
  2. Takemoto SK, Terasaki PI, Gjertson DW, Cecka JM. Twelve years' experience with national sharing of HLA-matched cadaveric kidneys for transplantation. N Engl J Med 2000;343:1078-1084. [Free Full Text]
  3. Held PJ, Kahan BD, Hunsicker LG, et al. The impact of HLA mismatches on the survival of first cadaveric kidney transplants. N Engl J Med 1994;331:765-770. [Free Full Text]
  4. Cox DR. Regression models and life-tables. J R Stat Soc [B] 1972;34:187-202.
  5. Collett D. Modelling survival data in medical research. London: Chapman & Hall, 1994.
  6. Lin DY, Wei LJ. The robust inference for the Cox proportional hazards model. J Am Stat Assoc 1989;84:1074-8.
  7. Grambsch PM, Therneau TM. Proportional hazards tests and diagnostics based on weighted residuals. Biometrika 1994;81:515-526. [Free Full Text]
  8. Therneau TM, Grambsch PM. Modeling survival data: extending the Cox model. New York: Springer, 2000.
  9. Shackleton CR. Upregulation of major histocompatibility complex-expression under ischemic conditions in experimental models. Transplant Proc 1998;30:4264-4266. [CrossRef][Medline]
  10. Serrick C, Giaid A, Reis A, Shennib H. Prolonged ischemia is associated with more pronounced rejection in the lung allograft. Ann Thorac Surg 1997;63:202-208. [Free Full Text]
  11. Kouwenhoven EA, de Bruin RWF, Bajema IM, Marquet RL, Ijzermans JNM. Cold ischemia augments allogeneic-mediated injury in rat kidney allografts. Kidney Int 2001;59:1142-1148. [CrossRef][Web of Science][Medline]

 

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