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Background: The National Living Donor Assistance Center (NLDAC) enables living donor kidney transplants through financial assistance of living donors, but its return on investment (ROI) through savings on dialysis costs remains unknown., Methods: We retrospectively reviewed 2012-2015 data from NLDAC, the United States Renal Data System, and the Scientific Registry of Transplant Recipients to construct 1-, 3-, and 5-year ROI models based on NLDAC applications and national dialysis and transplant cost data. ROI was defined as state-specific federal dialysis cost minus (NLDAC program costs plus state-specific transplant cost), adjusted for median waiting time (WT)., Results: A total of 2425 NLDAC applications were approved, and NLDAC costs were USD $6.76 million. Median donor age was 41 years, 66.1% were female, and median income was $33 759; 43.6% were evaluated at centers with WT >72 months. Median dialysis cost/patient-year was $81 485 (IQR $74 489-$89 802). Median kidney transplant cost/patient-year was $30 101 (IQR $26 832-$33 916). Overall, ROI varied from 5.1-fold (1-year) to 28.2-fold (5-year), resulting in $256 million in savings. Higher ROI was significantly associated with high WT, larger dialysis and transplant costs differences, and more NLDAC applicants completing the donation process., Conclusions: Financial support for donor out-of-pocket expenses produces dramatic federal savings through incremental living donor kidney transplants., (© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

This article provides detailed explanations of the methods frequently employed in outcomes analyses performed by the Scientific Registry of Transplant Recipients (SRTR). All aspects of the analytical process are discussed, including cohort selection, post-transplant follow-up analysis, outcome definition, ascertainment of events, censoring, and adjustments. The methods employed for descriptive analyses are described, such as unadjusted mortality rates and survival probabilities, and the estimation of covariant effects through regression modeling. A section on transplant waiting time focuses on the kidney and liver waiting lists, pointing out the different considerations each list requires and the larger questions that such analyses raise. Additionally, this article describes specialized modeling strategies recently designed by the SRTR and aimed at specific organ allocation issues. The article concludes with a description of simulated allocation modeling (SAM), which has been developed by the SRTR for three organ systems: liver, thoracic organs, and kidney-pancreas. SAMs are particularly useful for comparing outcomes for proposed national allocation policies. The use of SAMs has already helped in the development and implementation of a new policy for liver candidates with high MELD scores to be offered organs regionally before the organs are offered to candidates with low MELD scores locally.

Hypertension (HTN) and diabetes mellitus (DM) predispose to systemic atherosclerosis with renal involvement. The prevalence of HTN and DM in cadaveric renal donors (affected donors) and the results of transplantation are unknown. We investigated these issues with national data from the US Renal Data System. A total of 4,035 transplants from affected donors were matched 1:1 with unaffected controls according to donor age and race, recipient race, and year of transplantation. Graft and patient survival were estimated. Among the 25,039 solitary renal transplantations performed between July 1, 1994, and June 30, 1997, cadaveric renal transplants from donors with HTN accounted for 15%, and donors with DM, 2%. Programs with 1-year cadaveric renal graft survival rates greater than 90% had 50% less affected donors compared with programs having 1-year cadaveric renal graft survival rates of 85% or less. Compared with donor-age-matched controls, transplants from affected donors were at minimally increased risk for primary nonfunction, delayed graft function, and acute rejection. Three-year graft survival rates were 71% in affected donor organs and 75% in controls (P = 0.001). Compared with controls, duration of HTN was an independent risk factor for graft survival (3-year graft survival rates, 75% versus 65%; relative risk = 1.36 for HTN >10 years; P < 0.001). A substantial fraction of cadaveric renal donors have preexisting HTN. Programs transplanting fewer affected donor kidneys had better than average results. Because the negative impact of donor HTN and DM on transplant outcome was of moderate degree except when the duration of donor HTN was greater than 10 years, use of affected donors should not be discouraged, but graft and patient survival analyses should account for their presence.

Background: The potential supply of transplantable cadaver kidneys is often expressed as donors per million population (pmp), which ignores some essential factors governing organ donation., Methods: We performed a modeled analysis of kidney donor extraction rates by age, gender, race, cause of death, geographic region, and year in a cohort of evaluable deaths and actual cadaver donors between the ages of 1 and 65 years (1988-1993). Evaluable death was defined as an in-hospital death in patients between the ages of 1 and 65 years whose ICD-9-CM cause of death was not an obvious contraindication to kidney donation. The main outcome measures were the crude donation rate and an adjusted donor extraction rate (DER) per 1000 evaluable deaths., Results: A total of 1.4x10(6) in-hospital deaths produced 300,502 evaluable deaths and 20,575 actual donors. Between 1989 and 1993, DER increased from 61.1 to 75 per 1,000 evaluable deaths. DERs were highest among the youngest age groups, declining significantly with age from 405.0 to 16.7/1,000 evaluable deaths for age groups 1-10 and 56-65 years, respectively. There was a small difference in donors pmp between blacks and whites (15 vs. 18). In contrast, DER was seven times higher in whites compared with blacks (112.5 vs. 16.5/1,000 evaluable deaths; P<0.001). The crude donation rate (per 1,000 evaluable deaths) was high for stroke (604.8) and trauma-related deaths (230.6), resulting in highly efficient donor extraction from these deaths. Region-specific DERs ranged from 49.4 to 83/1,000 evaluable deaths and differed significantly from the corresponding donors pmp., Conclusions: Estimating kidney donation relative to in-hospital evaluable deaths is a meaningful measure of organ procurement efficiency. Efforts to enhance cadaveric kidney donation should seek to understand and reduce the marked demographic and regional disparity in donor extraction rates.

Background: Survival of transplant recipients after primary renal allograft failure has not been well studied., Methods: A cohort of 19,208 renal transplant recipients with primary allograft failure between 1985 and 1995 were followed from the date of allograft loss until death, repeat transplantation, or December 31, 1996. The mortality, wait-listing, and repeat transplantation rates were assessed. The mortality risks associated with repeat transplantation were estimated with a time-dependent survival model., Results: In total, 34.5% (n=6,631) of patients died during follow-up. Of these deaths, 82.9% (n=5,498) occurred in patients not wait-listed for repeat transplantation, 11.9% (n=789) occurred in wait-listed patients, and 5.2% (n=344) occurred in second transplant recipients. Before repeat transplantation, the adjusted 5-year patient survival was 36%, 49%, and 65% for type I diabetes mellitus (DM), type II DM, and nondiabetic end-stage renal disease, respectively (P<0.001; DM vs. nondiabetics). The adjusted 5-year patient survival was lower in Caucasians (57%, P<0.001) compared with African-Americans (67%) and other races (64%). The 5-yr repeat transplantation rate was 29%, 15%, and 19%, whereas the median waiting time for a second transplant was 32, 90, and 81 months for Caucasians, African-Americans, and other races, respectively (P<0.0001 each). Repeat transplantation was associated with 45% and 23% reduction in 5-year mortality for type I DM and nondiabetic end-stage renal disease, respectively, when compared with their wait-listed dialysis counterparts with prior transplant failure., Conclusions: The loss of a primary renal allograft was associated with significant mortality, especially in recipients with type I DM. Repeat transplantation was associated with a substantial improvement in 5-year patient survival. Recipients with type I DM achieved the greatest proportional benefit from repeat transplantation.