Effects of broader geographic distribution of donor lungs on travel mode and estimated costs of organ procurement.

On November 24, 2017, US lung transplant policy replaced donor service area with 250-nautical-mile radius as the first unit of allocation. Understanding this policy's economic impact is important, because the United States is poised to adopt the broadest feasible geographic organ distribution. All lung transplant recipients from January 1, 2015, to December 31, 2018, in the Scientific Registry of Transplant Recipients, were included. Recipients before and after November 24, 2017 were in the donor service area-first and 250-nautical-mile donor service area-free periods, respectively. Travel time was estimated using a Google application; mode was assigned as flying when driving time was longer than 60 min. Travel costs were estimated by mode and distance. Travel distance and time for organ procurement increased under the policy change. The estimated proportion of organs traveling by air increased from 61% to 76%. Estimated average costs increased by $14 051 if travel mode changed to flying, resulting in an average increase of $1264 for all transplants. Travel costs were highest for candidates <18 years and adults with high lung allocation scores. Broader geographic distribution increased estimated organ procurement costs for a small percentage of lung transplants. Further analysis should elucidate the broad economic impact of such policies.

Cost burden of post-transplant lymphoproliferative disease following kidney transplants in Medicare-eligible patients by survival status.

AIMS AND OBJECTIVES: Patients diagnosed with post-transplant lymphoproliferative disease (PTLD) experience high mortality within the first 2 years of diagnosis; however, few data exist on the economic burden of PTLD in these patients. We determined the healthcare resource utilization (HRU) and cost burden of post-kidney transplant PTLD and evaluated how these differ by survival status. MATERIALS AND METHODS: Utilizing data from the United States Renal Data System and the Scientific Registry of Transplant Recipients, we identified 83,818 Medicare-covered kidney transplant recipients between 2007 and 2016, of which 347 had at least one Medicare claim during the first year after diagnosis of PTLD. We tabulated Medicare Part A and Part B and calculated per patient-year (PPY) costs. RESULTS: Patients diagnosed with PTLD in the first year post-transplant had Part A + B costs of $222,336 PPY, in contrast with $83,546 PPY in all kidney transplants. Post-transplant costs in the first year of PTLD diagnosis were similar regardless of the year of diagnosis. Cost burden for PTLD patients who died within 2 years of diagnosis was >3.3 times higher than PTLD patients still alive after 2 years. Of those who died within 2 years, the majority died within 6 months and costs were highest for these patients, with almost 7 times higher costs than PTLD patients who were still alive after 2 years. LIMITATIONS: Medicare costs were the only costs examined in this study and may not be representative of other costs incurred, nor be generalizable to other insured populations. Patients were only Medicare eligible for 3 years after transplant unless aged ≥62 years, therefore any costs after this cut-off were not included. CONCLUSIONS: PTLD represents a considerable HRU and cost burden following kidney transplant, and the burden is most pronounced in patients who die within 6 months.

Validating thoracic simulated allocation model predictions for impact of broader geographic sharing of donor lungs on transplant waitlist outcomes.

BACKGROUND: The thoracic simulated allocation model (TSAM) is used by the Scientific Registry of Transplant Recipients to predict the relative effect of organ allocation policy changes. A new lung allocation policy changing the first unit of allocation from donation service area to 250 nautical miles took effect on November 24, 2017. We studied TSAM's ability to correctly predict trends caused by changes in allocation policy. METHODS: We compared the population characteristics from the TSAM cohort, 6,386 lung transplant candidates from 2009 to 2011, with the observed cohort of 7,601 candidates from the year before the policy change on November 24, 2017, and the year after. Simulations were run 10 times. Waitlist mortality and transplant rates were calculated and compared with observed mortality and transplant rates in the years before and after the policy change. RESULTS: TSAM correctly predicted no change in overall waitlist mortality or transplant rates with the policy change. Observed waitlist mortality values were higher, as were transplant rates, because of increased organ donation and population change. TSAM predicted increased transplant rates for diagnosis group D (idiopathic pulmonary fibrosis), decreased rates for group A (chronic obstructive pulmonary disease), and increased rates for candidates with lung allocation score ≥50, but these changes did not occur in the waitlist and transplant populations after the policy change. CONCLUSIONS: TSAM correctly predicted the relative trends caused by a change in allocation policy but smaller sub-group predictions were not seen.

Heart and lung organ offer acceptance practices of transplant programs are associated with waitlist mortality and organ yield.

Variation in heart and lung offer acceptance practices may affect numbers of transplanted organs and create variability in waitlist mortality. To investigate these issues, offer acceptance ratios, or adjusted odds ratios, for heart and lung transplant programs individually and for all programs within donation service areas (DSAs) were estimated using offers from donors recovered July 1, 2016, and June 30, 2017. Logistic regressions estimated the association of DSA-level offer acceptance ratios with donor yield and local placement of organs recovered in the DSA. Competing risk methodology estimated the association of program-level offer acceptance ratios with incidence and rate of waitlist removals due to death or becoming too sick to undergo transplant. Higher DSA-level offer acceptance was associated with higher yield (odds ratios [ORs]: lung, 1.04 1.111.19 ; heart, 1.09 1.211.35 ) and more local placement of transplanted organs (ORs: lung, 1.01 1.121.24 ; heart, 1.47 1.691.93 ). Higher program-level offer acceptance was associated with lower incidence of waitlist removal due to death or becoming too sick to undergo transplant (hazard ratios [HRs]: heart, 0.80 0.860.93 ; lung, 0.67 0.750.83 ), but not with rate of waitlist removal (HRs: heart, 0.91 0.981.06 ; lung, 0.89 0.991.10 ). Heart and lung offer acceptance practices affected numbers of transplanted organs and contributed to program-level variability in the probability of waitlist mortality.

Who is caring for kidney transplant patients? Variation by region, transplant center, and patient characteristics.

BACKGROUND/AIMS: Despite implications for long-term care, little is known about outpatient care for kidney transplant patients. METHODS: In this retrospective observational cohort study, outpatient claims were examined for 42,078 Medicare kidney transplant patients using United States Renal Data System data to ascertain location and timing of outpatient visits and type of physician seen. Logistic regression with generalized estimating equations was used to determine the odds and clinical correlates of visits in 4 post-transplant time periods. RESULTS: In months 1-3, 88% of patients visited their transplant centers, but this declined to 69% in months 25-36. In the adjusted analysis, Native Americans (odds ratio 0.56, 95% confidence interval 0.48-0.65) and Hispanics (OR 0.86, 95% CI 0.80-0.92) were less likely than whites to visit their transplant centers. Centers performing 18-34 (OR 1.44, 95% CI 1.30-1.59) and 35-61 transplants per year (OR 1.30, 95% CI 1.18-1.43) were more likely to see patients than centers performing <18 or >61. Almost 80% of patients saw nephrologists in months 1-3 after transplant. African-Americans (OR 0.85, 95% CI 0.80-0.90), Asians (OR 0.87, 95% CI 0.77-0.97), and Native Americans (OR 0.63, 95% CI 0.53-0.75) were less likely than whites to see nephrologists, as were Hispanics (OR 0.78, 95% CI 0.72-0.84) compared with non-Hispanics. CONCLUSION: Frequency of visits to transplant centers varied by center and region; most visits were to nephrologists. Patients from minority groups were less likely to visit transplant centers and nephrologists, with possibly significant public health implications.

Depressive disorder in renal transplantation: an analysis of Medicare claims.

BACKGROUND: Little is known about depression after kidney transplantation. STUDY DESIGN: Retrospective observational study. SETTING & PARTICIPANTS: US Renal Data System data; first kidney-only recipients who underwent transplantation in 1995 to 2003 with Medicare as primary payer (n = 47,899). PREDICTOR: Demographic and clinical characteristics of recipients (age, sex, race, ethnicity, primary cause of kidney disease, pretransplantation time on dialysis therapy, body mass index, initial immunosuppressive medications, and use of induction antibodies) and donors (age, sex, race, and living or deceased), transplantation year, and number of HLA mismatches. OUTCOMES & MEASUREMENTS: Depression incidence identified in Medicare claims and associations with clinical outcomes during the first 3 years posttransplantation. RESULTS: Depression was identified in 3,360 transplant recipients in the 3 years posttransplantation. Cumulative incidences were 5.05%, 7.29%, and 9.10% at 1, 2, and 3 years posttransplantation. In Cox proportional hazards analysis, white race, female sex, diabetes as primary cause of kidney disease, more than 3 years on dialysis therapy before transplantation, marked obesity (body mass index >or= 35 kg/m(2)), rapamycin use, antilymphocyte globulin or antithymocyte globulin for antibody induction therapy, donor age of 65 years or older, more recent transplantation, and presence of 6 HLA mismatches were associated with more depression, as identified in claims. Controlling for other known risk factors, time-dependent Cox proportional hazards analysis showed that depression was associated with increased graft failure (hazard ratio, 2.10; 95% confidence interval, 1.94 to 2.27; P < 0.001), return to dialysis therapy (hazard ratio, 1.97; 95% confidence interval, 1.76 to 2.19; P < 0.001), and death with a functioning graft (hazard ratio, 2.24; 95% confidence interval, 2.00 to 2.50; P < 0.001). LIMITATIONS: Depression identified through Medicare claims, limiting case ascertainment; limited number of recipient- or donor-related factors explored for potential associations; and limited depression treatment and pretransplantation depression information. CONCLUSIONS: Depression is associated with several identifiable factors and a 2-fold greater risk of graft failure and death with a functioning graft.