Pragmatic strategies to address health disparities along the continuum of care in chronic liver disease.

Racial, ethnic, and socioeconomic disparities exist in the prevalence and natural history of chronic liver disease, access to care, and clinical outcomes. Solutions to improve health equity range widely, from digital health tools to policy changes. The current review outlines the disparities along the chronic liver disease health care continuum from screening and diagnosis to the management of cirrhosis and considerations of pre-liver and post-liver transplantation. Using a health equity research and implementation science framework, we offer pragmatic strategies to address barriers to implementing high-quality equitable care for patients with chronic liver disease.

Enhancing Kidney Transplantation and the Role of Xenografts: Report of a Scientific Workshop Sponsored by the National Kidney Foundation.

Chronic kidney disease affects an estimated 37 million people in the United States; of these,>800,000 have end-stage renal disease requiring chronic dialysis or a kidney transplant to survive. Despite efforts to increase the donor kidney supply, approximately 100,000 people are registered on the kidney transplant wait-list with no measurable decrease over the past 2 decades. The outcomes of kidney transplantation are significantly better than for chronic dialysis: kidney transplant recipients have lower rates of mortality and cardiovascular events and better quality of life, but wait-list time matters. Time on dialysis waiting for a deceased-donor kidney is a strong independent risk factor for outcomes after a kidney transplant. Deceased-donor recipients with wait-list times on dialysis of<6 months have graft survival rates equivalent to living-donor recipients with waitlist times on dialysis of>2 years. In 2021,>12,000 people had been on the kidney transplant waitlist for ≥5 years. As the gap between the demand for and availability of donor kidneys for allotransplantation continues to widen, alternative strategies are needed to provide a stable, sufficient, and timely supply. A strategy that is gaining momentum toward clinical application is pig-to-human kidney xenotransplantation. This report summarizes the proceedings of a meeting convened on April 11-12, 2022, by the National Kidney Foundation to review and assess the state of pig-to-human kidney xenotransplantation as a potential cure for end-stage renal disease.

Association of procurement technique with organ yield and cost following donation after circulatory death.

Donation after circulatory death (DCD) could account for the largest expansion of the donor allograft pool in the contemporary era. However, the organ yield and associated costs of normothermic regional perfusion (NRP) compared to super-rapid recovery (SRR) with ex-situ normothermic machine perfusion, remain unreported. The Organ Procurement and Transplantation Network (December 2019 to June 2023) was analyzed to determine the number of organs recovered per donor. A cost analysis was performed based on our institution's experience since 2022. Of 43 502 donors, 30 646 (70%) were donors after brain death (DBD), 12 536 (29%) DCD-SRR and 320 (0.7%) DCD-NRP. The mean number of organs recovered was 3.70 for DBD, 3.71 for DCD-NRP (P < .001), and 2.45 for DCD-SRR (P < .001). Following risk adjustment, DCD-NRP (adjusted odds ratio 1.34, confidence interval 1.04-1.75) and DCD-SRR (adjusted odds ratio 2.11, confidence interval 2.01-2.21; reference: DBD) remained associated with greater odds of allograft nonuse. Including incomplete and completed procurement runs, the total average cost of DCD-NRP was $9463.22 per donor. By conservative estimates, we found that approximately 31 donor allografts could be procured using DCD-NRP for the cost equivalent of 1 allograft procured via DCD-SRR with ex-situ normothermic machine perfusion. In conclusion, DCD-SRR procurements were associated with the lowest organ yield compared to other procurement methods. To facilitate broader adoption of DCD procurement, a comprehensive understanding of the trade-offs inherent in each technique is imperative.

30- and 60-Day Readmission Rates for Children With Heart Failure in the United States.

BACKGROUND: Studies on readmission for pediatric heart failure (HF) patients is sparse. OBJECTIVES: This study evaluated 30- and 60-day readmission rates in pediatric HF patients from 2010 to 2019. METHODS: The authors used data from the Nationwide Readmission Database to evaluate trends in 30- and 60-day hospital readmissions among pediatric patients with HF and compare them with adults with HF. Readmissions were also stratified by sex, diagnosis, neighborhood income, and hospital volume. RESULTS: There were 84,731 hospital admissions for HF. Compared with children without HF, those with HF were older, had Medicare/Medicaid insurance, and resided in micropolitan areas and low-income neighborhoods. The 30- (19.5% vs 3.1%) and 60-day (27.5% vs 4.3%) all-cause readmission rates were higher for children with HF compared with those without HF. Compared with children without HF, lengths of stay, deaths, and costs related to their readmission were higher for children readmitted with HF (P < 0.05 for all). There was no significant decline in pediatric HF-related 30- or 60- day readmissions during the study period overall, or for those with congenital heart disease (P > 0.05), unlike adult HF readmissions (P < 0.01). Infants were at highest risk, and readmission rates for teenagers are rising. CONCLUSIONS: The 30- and 60-day readmission rates for pediatric patients with HF in the current era is high (∼20% and 30%, respectively). Unlike adult HF, pediatric HF readmission rates have not declined. Pediatric HF patients readmitted to the hospital have higher death rates and greater resource utilization than patients without HF. National measures to decrease readmissions for pediatric patients with HF is warranted.

Population Characteristics and Organ Procurement Organization Performance Metrics.

Importance: In 2020, the Centers for Medicare & Medicaid Services (CMS) issued a final rule updating the Organ Procurement Organization (OPO) Conditions for Coverage. This rule evaluates OPO performance based on an unadjusted donation rate and an age-adjusted transplant rate; however, neither considers other underlying population differences. Objective: To evaluate whether adjusting for age and/or area deprivation index yields the same tier assignments as the cause, age, and location consistent (CALC) tier used by CMS. Design, Setting, and Participants: This retrospective cross-sectional study examined the performance of 58 OPOs from 2018 to 2020 across the entire US. A total of 12 041 778 death records were examined from the 2017 to 2020 National Center for Health Statistics' Restricted Vital Statistics Detailed Multiple Cause of Death files; 399 530 of these met the definition of potential deceased donor. Information about 42 572 solid organ donors from the Scientific Registry of Transplant Recipients was also used. Statistical analysis was performed from January 2017 to December 2020. Exposure: Area deprivation of donation service areas and age of potential donors. Main Outcome and Measures: OPO performance as measured by donation and transplant rates. Results: A total of 399 530 potential deceased donors and 42 572 actual solid donor organs were assigned to 1 of 58 OPOs. Age and ADI adjustment resulted in 19.0% (11 of 58) to 31.0% (18 of 58) reclassification of tier ratings for the OPOs, with 46.6% of OPOs (27 of 58) changing tier ranking at least once during the 3-year period. Between 6.9% (4 of 58) and 12.1% (7 of 58) moved into tier 1 and up to 8.6% (5 of 58) moved into tier 3. Conclusions and Relevance: This cross-sectional study of population characteristics and OPO performance metrics found that adjusting for area deprivation and age significantly changed OPO measured performance and tier classifications. These findings suggest that underlying population characteristics may alter processes of care and characterize donation and transplant rates independent of OPO performance. Risk adjustment accounting for population characteristics warrants consideration in prospective policy and further evaluation of quality metrics.

UNOS Decisions Impact Data Integrity of the OPTN Data Registry.

BACKGROUND: The Organ Procurement Transplant Network (OPTN)/United Network for Organ Sharing (UNOS) registry is an important national registry in the field of solid organ transplantation. Data collected are mission critical, given its role in organ allocation prioritization, program performance monitoring by both the OPTN and the Centers for Medicare & Medicaid Services, and countless observational analyses that helped to move the field forward. Despite the multifaceted importance of the OPTN/UNOS database, there are clear indications that investments in the database to ensure the quality and reliability of the data have been lacking. METHODS: This analysis outlines 2 examples: (1) primary diagnosis for patients who are receiving a second transplant and (2) reporting peripheral vascular disease in kidney transplantation to illustrate the extensive challenges facing the veracity and integrity of the OPTN/UNOS database today. RESULTS: Despite guidance that repeat kidney transplant patients should be coded as "retransplant/graft failure" rather than their native kidney disease, only 59% of new incident patients are coded in this manner. Peripheral vascular disease prevalence more than doubled in a 20-y span when the variable became associated with risk adjustment. CONCLUSIONS: This article summarizes critical gaps in the OPTN/UNOS database, and we bring forward ideas and proposals for consideration as a path toward improvement.

Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant.

Introduction: The use of race coefficients in equations for estimated glomerular filtration rate (eGFR) may have contributed to racial disparities in access to preemptive (without dialysis exposure) kidney transplantation (Ktx). Methods: In this retrospective national cohort study of incident kidney transplant candidates in the United States from 2001 to 2019, we describe temporal trends and racial disparities in preemptive listing and the distribution of eGFR at listing, using eGFR as reported and after removing the race coefficient for Black candidates. Results: Among 511,686 candidates, preemptive listing increased over time, from 18% in 2001 to 33% in 2019. Non-Black candidates were listed preemptively nearly twice as frequently as Black candidates in 2019 (38% vs. 21% preemptive) and at higher eGFR values (median 15.6 vs. 15.0 ml/min per 1.73 m2). After adjusting for candidate characteristics, including listing eGFR without the race coefficient, preemptive Black candidates still had significantly lower odds of preemptive deceased donor (DD) kidney transplantation compared to non-Black candidates (odds ratio 0.87, 95% confidence interval: 0.78-0.98). Conclusions: Over the last 2 decades, Black patients were consistently less likely to be listed preemptively and were listed at lower eGFR values. Adjusting for listing eGFR with the race coefficient computationally removed did not eliminate the racial disparity, suggesting that additional efforts are needed to achieve equity in preemptive transplantation beyond adopting race-free eGFR equations.

HLA-DQ Mismatches Lead to More Unacceptable Antigens, Greater Sensitization, and Increased Disparities in Repeat Transplant Candidates.

BACKGROUND: In single-center studies, HLA-DQ mismatches stimulate the most pathogenic donor-specific antibodies. However, because of limitations of transplant registries, this cannot be directly confirmed with registry-based analyses. METHODS: We evaluated patients in the Scientific Registry of Transplant Recipients who were relisted after renal graft failure with new, unacceptable antigens corresponding to the HLA typing of their previous donor (UA-PD) as a proxy for donor-specific antibodies. Linear regression was applied to estimate the effects of HLA mismatches on UA-PD and the effects of UA-PD on calculated panel reactive antibody (cPRA) values for 4867 kidney recipients from 2010 to 2021. RESULTS: Each additional HLA-DQ mismatch increased the probability of UA-PD by 25.2% among deceased donor transplant recipients and by 28.9% among living donor transplant recipients, significantly more than all other HLA loci (P<0.05). HLA-DQ UA-PD increased cPRA by 29.0% in living donor transplant recipients and by 23.5% in deceased donor transplant recipients, significantly more than all loci except for HLA-A in deceased donor transplant recipients (23.1%). African American deceased donor transplant recipients were significantly more likely than Hispanic and White recipients to develop HLA-DQ UA-PD; among living donor transplant recipients, African American or Hispanic recipients were significantly more likely to do so compared with White recipients. Models evaluating interactions between HLA-DR/DQ mismatches revealed largely independent effects of HLA-DQ mismatches on HLA-DQ UA-PD. CONCLUSIONS: HLA-DQ mismatches had the strongest associations with UA-PD, an effect that was greatest in African American and Hispanic recipients. cPRA increases with HLA-DQ UA-PD were equivalent or larger than any other HLA locus. This suggests a need to consider the effects of HLA-DQ in kidney allocation.

Preoperative assessment using the five-factor modified frailty index: A call for standardized preoperative assessment and prehabilitation services in gynecologic oncology.

OBJECTIVE: To evaluate if the 5-factor modified frailty index (mFI) is associated with postoperative complications, readmissions or non-home discharge in gynecologic cancer patients undergoing surgery. METHODS: Patients with a diagnosis of gynecologic cancer (cervical, uterine, or ovarian cancer) who underwent surgery between 2014 and 2018 were identified through the National Surgical Quality Improvement Program (NSQIP) database. The 5-factor mFI was applied and patients classified into 6 categories (mFI groups 0,1,2, 3, 4 and 5). The incidence of 30-day complications, readmissions and non-home discharge was evaluated. Multivariable logistic regression models were used to determine the association between mFI category and readmissions/ complications. Adjusted probabilities of events were calculated based on patient characteristics. RESULTS: At total of 31,181 gynecologic cancer cases were included in the analysis: N = 2968 (9.4%) cervical, N = 20,862 (66.4%) uterine, and N = 7351 (23.4%) ovarian cancers. Of all patients, 46.1% were in category 0, 36.5% category 1, and 1% category 3-5. Factors associated with increased mFI included older age, African American race, laparoscopic surgery and obesity. A significant dose-response relationship between higher mFI and readmission and 30-day complications was noted on adjusted multivariable analysis (adjusted OR 2.37 (1.65-3.45) and 2.10 (1.59-2.75) for readmissions and complications, respectively, in mFI category 3-5). These associations were consistent within each cancer type. CONCLUSIONS: The 5-factor mFI universally predicts postoperative readmissions, 30-day complications and non-home discharge in patients with gynecologic cancer. Incorporation of mFI into routine preoperative assessment can identify patients for non-surgical treatments, prehabiliatation and short term home assessments.

Validation of myasthenia gravis diagnosis in the older Medicare population.

INTRODUCTION/AIMS: Administrative health data has been increasingly used to study the epidemiology of myasthenia gravis (MG) but a case ascertainment algorithm is lacking. We aimed to develop a valid algorithm for identifying MG patients in the older population with Medicare coverage. METHODS: Local older patients (age ≥65) who received healthcare at the Cleveland Clinic and possessed Medicare coverage in 2014 and 2015 were selected. Potential MG patients were identified by using a combination of ICD9 or ICD10 codes for MG and MG-related text-word search. Diagnosis was categorized as "definite MG", "possible MG" or "non-MG" after review of clinical summaries by 5 neuromuscular specialists. Performances of various algorithms were tested by use of the definite MG cohort as a reference standard, and calculation of sensitivity, specificity, and predictive values. RESULTS: A total of 118 988 local older patients with Medicare coverage were identified. Usage of MG ICD codes and text-word search resulted in 125 patients with definite and 67 with possible MG. A total of 45 algorithms involving ICD usage, medication prescription, and specialty visit were tested. The best performing algorithm was identified as 2 office visits using MG ICD codes separated by at least 4 weeks or 1 hospital discharge and 1 office visit each using MG ICD codes separated by at least 4 weeks within the two-year period, resulting in a sensitivity and positive predictive value of 80% for identifying definite MG patients. DISCUSSION: Algorithms using ICD codes can reliably identify patients with MG with a high degree of accuracy.

The Association of Socioeconomic Status and Discharge Destination with 30-Day Readmission after Ischemic Stroke.

OBJECTIVES: This study aimed to explore the association of socioeconomic status and discharge destination with 30-day readmission after ischemic stroke. MATERIALS AND METHODS: We examined 30-day all-cause readmission among patients hospitalized for ischemic stroke in states of Arkansas, Iowa, and Wisconsin in 2016 and 2017 and New York in 2016 using Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases. RESULTS: Among the 52301 patients included, 51.1% were female. The 30-day readmission rates were 10.2%, 8.2%, 9.3%, 10.4%, 11.6%, and 11.2% for age group 18-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years, respectively (p<0.001). In Generalized Estimating Equation analysis, patients with Medicare and Medicaid insurance were more likely to be readmitted, compared with private insurance, (adjusted Odds Ratio [aOR] 1.37, 95% CI 1.23-1.53; and aOR 1.26, 95% CI 1.09-1.45, respectively). Patients in the bottom quartile of zip code level median household income had higher 30-day readmission rate (12.4%) than those in the 2nd, 3rd and 4th quartile (10.3%, 10.1%, and 10.7%, respectively, p<0.001). Compared with those discharged home with self-care which had the lowest readmission rate (8.4%), patients who left against medical advice had the highest readmission rate (18.6%; aOR 2.23, 95% CI 1.75-2.83), followed by rehabilitation and skilled nursing facilities (13.2%; aOR 1.33, 95% CI 1.22-1.46), and home with home health care (11.3%, aOR 1.18, 95% CI 1.08-1.28). CONCLUSIONS: Socioeconomic status and discharged destination affect readmission after stroke. These results provide evidence to inform vulnerable patient population as targets for readmission prevention.

Patients with High Priority for Kidney Transplant Who Are Not Given Expedited Placement on the Transplant Waiting List Represent Lost Opportunities.

BACKGROUND: Kidney transplantation is associated with the best outcomes for most patients with ESKD. The national Kidney Allocation System prioritizes patients with Estimated Post-Transplant Survival (EPTS) scores in the top 20% for expedited access to optimal deceased donor kidneys. METHODS: We studied adults aged ≥18 years in the United States Renal Data System with top 20% EPTS scores who had been preemptively waitlisted or initiated dialysis in 2015-2017. We evaluated time to waitlist placement, transplantation, and mortality with unadjusted and multivariable survival models. RESULTS: Of 42,445 patients with top 20% EPTS scores (mean age, 38.0 years; 57% male; 59% White patients, and 31% Black patients), 7922 were preemptively waitlisted. Among 34,523 patients initiating dialysis, the 3-year cumulative waitlist placement incidence was 37%. Numerous factors independently associated with waitlisting included race, income, and having noncommercial insurance. For example, waitlisting was less likely for Black versus White patients, and for patients in the lowest-income neighborhoods versus those in the highest-income neighborhoods. Among patients initiating dialysis, 61% lost their top 20% EPTS status within 30 months versus 18% of patients who were preemptively listed. The 3-year incidence of deceased and living donor transplantation was 5% and 6%, respectively, for patients who initiated dialysis and 26% and 44%, respectively, for patients who were preemptively listed. CONCLUSIONS: Many patients with ESKDqualifying with top 20% EPTS status are not placed on the transplant waiting list in a timely manner, with significant variation on the basis of demographic and social factors. Patients who are preemptively listed are more likely to receive benefits of top 20% EPTS status. Efforts to expedite care for qualifying candidates are needed, and automated transplant referral for patients with the best prognoses should be considered. PODCAST: This article contains a podcast athttps://www.asn-online.org/media/podcast/JASN/2021_07_30_JASN2020081146.mp3.

"What do you think about nephrology?" A national survey of internal medicine residents.

BACKGROUND: Interest in nephrology has been declining among internal medicine residents but the reasons behind this observation are not well characterized. Our objective was to evaluate factors influencing residents' choice of subspecialty. METHODS: This is a mixed-method QUAL-QUAN design study that used the results of our previously published qualitative analysis on residents' perception of nephrology to create and pilot a questionnaire of 60 questions. The final questionnaire was distributed to 26 programs across the United States and a total of 1992 residents. We calculated response rates and tabulated participant characteristics and percentage of participant responses. We categorized choice of fellowship into 2 medical categories (Highly Sought After vs. Less Sought After) and fitted a logistic regression model of choosing a highly vs. less sought after fellowship. RESULTS: Four hundred fifteen out of 1992 (21%) US residents responded to the survey. Of the 268 residents planning to pursue fellowship training, 67 (25%) selected a less sought after fellowship. Female sex was associated with significantly higher odds of selecting a less sought after fellowship (OR = 2.64, 95% CI: 1.47, 4.74). Major factors deterring residents from pursuing nephrology were perception of inadequate financial compensation, broad scope of clinical practice and complexity of patient population. We observed a decline in exposure to nephrology during the clinical years of medical school with only 35.4% of respondents rotating in nephrology versus 76.8% in residency. The quality of nephrology education was rated less positively during clinical medical school years (median of 50 on a 0-100 point scale) compared to the pre-clinical years (median 60) and residency (median 75). CONCLUSION: Our study attempts to explain the declining interest in nephrology. Results suggest potential targets for improvement: diversified trainee exposure, sub-specialization of nephrology, and increased involvement of nephrologists in the education of trainees.

The Patterns and Outcomes of Inter-Hospital Transfer Among Medicare Patients with Ischemic Stroke.

BACKGROUND AND PURPOSE: Inter-hospital transfer for ischemic stroke is an essential part of stroke system of care. This study aimed to understand the national patterns and outcomes of ischemic stroke transfer. METHODS AND RESULTS: This retrospective study examined Medicare beneficiaries aged ≥65 years undergoing inter-hospital transfer for ischemic stroke in 2012. Cox proportional hazards model was used to compare 30-day and one-year mortality between transferred patients and direct admissions from the emergency department (ED admissions). Among 312,367 ischemic stroke admissions, 5.7% underwent inter-hospital transfer. Using this value as cut-off, the hospitals were classified into receiving (n = 411), sending (n = 559), and low-transfer (n = 1863) hospitals. Receiving hospitals were larger than low-transfer and sending hospitals as demonstrated by the median bed number (371, 189, and 88, respectively, p < 0.001); more frequently to be certified stroke centers (75%, 47%, and 16%, respectively, p < 0.001); and less commonly located in the rural area (2%, 7%, and 24%, respectively, p < 0.001). For receiving hospitals, transfer-in patients and ED admissions had comparable mortality at 30 days (10% vs 10%; adjusted HR [aHR]=1.07; 95% CI, 0.99-1.14) and 1 year (23% vs 24%; aHR=1.03; 95% CI, 0.99-1.08). For sending hospitals, transfer-out patients, compared to ED admissions, had higher mortality at 30 days (14% vs 11%; aHR=1.63; 95% CI, 1.39-1.91) and 1 year (30% vs 27%; aHR=1.33; 95% CI, 1.20-1.48). For low-transfer hospitals, overall transfer-in and transfer-out patients, compared to ED admissions, had higher mortality at 30 days (13% vs 10%; aHR=1.46; 95% CI, 1.33-1.60) and 1 year (28% vs 25%; aHR=1.27; 95% CI, 1.19-1.36). CONCLUSIONS: Hospitals in the US, based on their transfer patterns, could be classified into 3 groups that shared distinct characteristics including hospital size, rural vs urban location, and stroke certification. Transferred patients at sending and low-transfer hospitals had worse outcomes than their ED admission counterpart.

Case Fatality Decline from 2009 to 2013 among Medicare Beneficiaries with Ischemic Stroke.

OBJECTIVES: This study aimed to examine the temporal trend of 30-day and 1-year mortality among U.S. Medicare beneficiaries who were hospitalized for ischemic stroke, with special focus on the mortality among subgroup of patients in relation to acute reperfusion therapies including intravenous thrombolysis (IVT) and endovascular thrombectomy (EVT). METHODS: We evaluated Medicare fee-for-service beneficiaries age 65 years or older who were hospitalized for ischemic stroke between 2009 and 2013. Multivariable Cox proportional hazards models were generated to analyze the trend of adjusted mortality. RESULTS: A total of 1,070,574 patients were included in the study. The 30-day mortality did not change among patients who were not treated with IVT or EVT. It decreased by 13% among patients treated with IVT but not EVT (HR = .87, 95% CI .82-.92), 25% among patients treated with EVT but not IVT (HR = .75, 95% CI .59-.95), and 37% among patients treated with both IVT and EVT (HR = .63, 95% CI .52-.77). One-year mortality decreased by 19% among patients who were not treated with IVT nor EVT (HR = .81, 95% CI .80-.83), 22% among those treated with IVT but not EVT (HR = .78, 95% CI .75-.81), 33% among those treated with EVT but not IVT (HR = .67, 95% CI .55-.81), and 38% among those treated with both IVT and EVT (HR = .62, 95% CI .53-.73). CONCLUSIONS: From 2009 to 2013, the 30-day stroke case fatality decreased only among the patients received reperfusion therapy. The 1-year mortality declined among all the stroke patients, with the greatest decline among those treated with both IVT and EVT.

A Donor Utilization Index to Assess the Utilization and Discard of Deceased Donor Kidneys Perceived as High Risk.

BACKGROUND AND OBJECTIVES: An increasing number of patients on the waitlist for a kidney transplant indicates a need to effectively utilize as many deceased donor kidneys as possible while ensuring acceptable outcomes. Assessing regional and center-level organ utilization with regards to discard can reveal regional variation in suboptimal deceased donor kidney acceptance patterns stemming from perceptions of risk. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We created a weighted donor utilization index from a logistic regression model using high-risk donor characteristics and discard rates from 113,640 deceased donor kidneys procured for transplant from 2010 to 2016, and used it to examine deceased donor kidney utilization in 182 adult transplant centers with >15 annual deceased donor kidney transplants. Linear regression and correlation were used to analyze differences in donor utilization indexes. RESULTS: The donor utilization index was found to significantly vary by Organ Procurement and Transplantation Network region (P<0.001), revealing geographic trends in kidney utilization. When investigating reasons for this disparity, there was no significant correlation between center volume and donor utilization index, but the percentage of deceased donor kidneys imported from other regions was significantly associated with donor utilization for all centers (rho=0.39; P<0.001). This correlation was found to be particularly strong for region 4 (rho=0.83; P=0.001) and region 9 (rho=0.82; P=0.001). Additionally, 25th percentile time to transplant was weakly associated with the donor utilization index (R2=0.15; P=0.03). CONCLUSIONS: There is marked center-level variation in the use of deceased donor kidneys with less desirable characteristics both within and between regions. Broader utilization was significantly associated with shorter time to transplantation.

Dramatic secular changes in prognosis for kidney transplant candidates in the United States.

Over recent decades, numerous clinical advances and policy changes have affected outcomes for candidates of kidney transplantation in the United States. We examined the national Scientific Registry for Transplant Recipients for adult (18+) solitary kidney transplant candidates placed on the waiting list for primary listing from 2001 to 2015. We evaluated rates of mortality, transplantation, and waitlist removal. Among 340 115 candidates there were significant declines in mortality (52 deaths/1000 patient years in 2001-04 vs 38 deaths/1000 patient years in 2012-15) and transplant rates (304 transplants/1000 patient years in 2001-04 vs 212 transplants/1000 patient years in 2012-15) and increases in waitlist removals (15 removals/1000 patient years in 2001-04 vs 25/1000 patient years in 2012-15) within the first year after listing. At 5 years an estimated 37% of candidates listed in 2012-15 were alive without transplant as compared to 22% in 2001-04. Declines in mortality over time were significantly more pronounced among African Americans, candidates with longer dialysis duration, and those with diabetes (P < .001). Cumulatively, results indicate dramatic changes in prognoses for adult kidney transplant candidates, likely impacted by selection criteria, donor availability, regulatory oversight, and clinical care. These trends are important considerations for prospective policy development and research, clinical and patient decision-making, and evaluating the impact on access to care.