1
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Rampersad C, Bau J, Orchanian-Cheff A, Kim SJ. Impact of donor smoking history on kidney transplant recipient outcomes: A systematic review and meta-analysis. Transplant Rev (Orlando) 2024; 38:100854. [PMID: 38608414 DOI: 10.1016/j.trre.2024.100854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/01/2024] [Accepted: 04/01/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Impact of donor smoking history on kidney transplant recipient outcomes is undefined. METHODS We systematically searched, critically appraised, and summarized associations between donor smoking and primary outcomes of death-censored and all-cause graft failure (DCGF, ACGF), and secondary outcomes of allograft histology, delayed graft function, serum creatinine, estimated glomerular filtration rate, and mortality. We searched MEDLINE, Embase, and Cochrane Databases from 2000 to 2023. Risk of bias was assessed using Risk of Bias in Non-randomized Studies - of Exposure tool. Quality of evidence was assessed by Grading of Recommendations Assessment, Development and Evaluation Working Group recommendations. We pooled results using inverse variance, random-effects model and reported hazard ratios for time-to-event outcomes or binomial proportions. Statistical heterogeneity was assessed with I2 statistic. RESULTS From 1785 citations, we included 17 studies. Donor smoking was associated with modestly increased DCGF (HR 1.05 (95% CI: 1.01, 1.09); I2 = 0%; low quality of evidence), predominantly in deceased donors, and ACGF in adjusted analyses (HR 1.12 (95% CI: 1.06, 1.19); I2 = 20%; very low quality of evidence). Other outcomes could not be pooled meaningfully. CONCLUSIONS Kidney donor smoking history was associated with modestly increased risk of death-censored graft failure and all-cause graft failure. This review emphasizes the need for further research, standardized reporting, and thoughtful consideration of donor factors like smoking in clinical decision-making on kidney utilization and allocation.
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Affiliation(s)
- Christie Rampersad
- Ajmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
| | - Jason Bau
- Department of Medicine, Division of Transplant Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Ani Orchanian-Cheff
- Library and Information Services, University Health Network, Toronto, Ontario, Canada
| | - S Joseph Kim
- Ajmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
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2
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Bamforth RJ, Trachtenberg A, Ho J, Wiebe C, Ferguson TW, Rigatto C, Forget E, Dodd N, Tangri N. Expanding Access to High KDPI Kidney Transplant for Recipients Aged 60 y and Older: Cost Utility and Survival. Transplant Direct 2024; 10:e1629. [PMID: 38757046 PMCID: PMC11098249 DOI: 10.1097/txd.0000000000001629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/05/2024] [Accepted: 02/21/2024] [Indexed: 05/18/2024] Open
Abstract
Background Modern organ allocation systems are tasked with equitably maximizing the utility of transplanted organs. Increasing the use of deceased donor organs at risk of discard may be a cost-effective strategy to improve overall transplant benefit. We determined the survival implications and cost utility of increasing the use of marginal kidneys in an older adult Canadian population of patients with end-stage kidney disease. Methods We constructed a cost-utility model with microsimulation from the perspective of the Canadian single-payer health system for incident transplant waitlisted patients aged 60 y and older. A kidney donor profile index score of ≥86 was considered a marginal kidney. Donor- and recipient-level characteristics encompassed in the kidney donor profile index and estimated posttransplant survival scores were used to derive survival posttransplant. Patients were followed up for 10 y from the date of waitlist initiation. Our analysis compared the routine use of marginal kidneys (marginal kidney scenario) with the current practice of limited use (status quo scenario). Results The 10-y mean cost and quality-adjusted life-years per patient in the marginal kidney scenario were estimated at $379 485.33 (SD: $156 872.49) and 4.77 (SD: 1.87). In the status quo scenario, the mean cost and quality-adjusted life-years per patient were $402 937.68 (SD: $168 508.85) and 4.37 (SD: 1.87); thus, the intervention was considered dominant. At 10 y, 62.8% and 57.0% of the respective cohorts in the marginal kidney and status quo scenarios remained alive. Conclusions Increasing the use of marginal kidneys in patients with end-stage kidney disease aged 60 y and older may offer cost savings, improved quality of life, and greater patient survival in comparison with usual care.
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Affiliation(s)
- Ryan J. Bamforth
- Chronic Disease Innovation Centre, Seven Oaks General Hospital, Winnipeg, MB, Canada
| | - Aaron Trachtenberg
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
- Transplant Manitoba Adult Kidney Program, Winnipeg, MB, Canada
| | - Julie Ho
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
- Transplant Manitoba Adult Kidney Program, Winnipeg, MB, Canada
| | - Chris Wiebe
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
- Transplant Manitoba Adult Kidney Program, Winnipeg, MB, Canada
| | - Thomas W. Ferguson
- Chronic Disease Innovation Centre, Seven Oaks General Hospital, Winnipeg, MB, Canada
| | - Claudio Rigatto
- Chronic Disease Innovation Centre, Seven Oaks General Hospital, Winnipeg, MB, Canada
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Evelyn Forget
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Nancy Dodd
- Transplant Manitoba Adult Kidney Program, Winnipeg, MB, Canada
| | - Navdeep Tangri
- Chronic Disease Innovation Centre, Seven Oaks General Hospital, Winnipeg, MB, Canada
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
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3
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King KL, Husain SA, Yu M, Adler JT, Schold J, Mohan S. Characterization of Transplant Center Decisions to Allocate Kidneys to Candidates With Lower Waiting List Priority. JAMA Netw Open 2023; 6:e2316936. [PMID: 37273203 PMCID: PMC10242426 DOI: 10.1001/jamanetworkopen.2023.16936] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/21/2023] [Indexed: 06/06/2023] Open
Abstract
Importance Allocation of deceased donor kidneys is meant to follow a ranked match-run list of eligible candidates, but transplant centers with a 1-to-1 relationship with their local organ procurement organization have full discretion to decline offers for higher-priority candidates and accept them for lower-ranked candidates at their center. Objective To describe the practice and frequency of transplant centers placing deceased donor kidneys with candidates who are not the highest rank at their center according to the allocation algorithm. Design, Setting, and Participants This retrospective cohort study used 2015 to 2019 organ offer data from US transplant centers with a 1-to-1 relationship with their local organ procurement organization, following candidates for transplant events from January 2015 to December 2019. Participants were deceased kidney donors with a single match-run and at least 1 kidney transplanted locally and adult, first-time, kidney-only transplant candidates receiving at least 1 offer for a locally transplanted deceased donor kidney. Data were analyzed from March 1, 2022 to March 28, 2023. Exposure Demographic and clinical characteristics of donors and recipients. Main Outcomes and Measures The outcome of interest was kidney transplantation into the highest-priority candidate (defined as transplanted after zero declines for local candidates in the match-run) vs a lower-ranked candidate. Results This study assessed 26 579 organ offers from 3136 donors (median [IQR] age, 38 [25-51] years; 2903 [62%] men) to 4668 recipients. Transplant centers skipped their highest-ranked candidate to place kidneys further down the match-run for 3169 kidneys (68%). These kidneys went to a median (IQR) of the fourth- (third- to eighth-) ranked candidate. Higher kidney donor profile index (KDPI; higher score indicates lower quality) kidneys were less likely to go to the highest-ranked candidate, with 24% of kidneys with KDPI of at least 85% going to the top-ranked candidate vs 44% of KDPI 0% to 20% kidneys. When comparing estimated posttransplant survival (EPTS) scores between the skipped candidates and the ultimate recipients, kidneys were placed with recipients with both better and worse EPTS than the skipped candidates, across all KDPI risk groups. Conclusions and Relevance In this cohort study of local kidney allocation at isolated transplant centers, we found that centers frequently skipped their highest-priority candidates to place kidneys further down the allocation prioritization list, often citing organ quality concerns but placing kidneys with recipients with both better and worse EPTS with nearly equal frequency. This occurred with limited transparency and highlights the opportunity to improve the matching and offer algorithm to improve allocation efficiency.
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Affiliation(s)
- Kristen L. King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - S. Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Miko Yu
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Joel T. Adler
- Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin
| | - Jesse Schold
- Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora
- Department of Epidemiology, School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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4
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Vinson AJ, Cardinal H, Parsons C, Tennankore KK, Mainra R, Maru K, Treleaven D, Gill J. Disparities in Deceased Donor Kidney Offer Acceptance: A Survey of Canadian Transplant Nephrologists, General Surgeons and Urologists. Can J Kidney Health Dis 2023; 10:20543581231156855. [PMID: 36861114 PMCID: PMC9969426 DOI: 10.1177/20543581231156855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/19/2022] [Indexed: 02/26/2023] Open
Abstract
Background Significant variability in organ acceptance thresholds have been demonstrated across the United States, but data regarding the rate and rationale for kidney donor organ decline in Canada are lacking. Objective To examine decision making regarding deceased kidney donor acceptance and non-acceptance in a population of Canadian transplant professionals. Design A survey study of theoretical deceased donor kidney cases of increasing complexity. Setting Canadian transplant nephrologists, urologists, and surgeons making donor call decisions responding to an electronic survey between July 22 and October 4, 2022. Participants Invitations to participate were distributed to 179 Canadian transplant nephrologists, surgeons, and urologists through e-mail. Participants were identified by contacting each transplant program and requesting a list of physicians who take donor call. Measurements Survey respondents were asked whether they would accept or decline a given donor, assuming there was a suitable recipient. They were also asked to cite reasons for donor non-acceptance. Methods Donor scenario-specific acceptance rates (total acceptance divided by total number of respondents for a given scenario and overall) and reasons for decline were determined and presented as a percentage of the total cases declined. Results In all, 72 respondents from 7 provinces completed at least one question of the survey, with considerable variability between acceptance rates for centers; the most conservative center declined 60.9% of donor cases, whereas the most aggressive center declined only 28.1%, P-value < .001. There was an increased risk of non-acceptance with advancing age, donation after cardiac death, acute kidney injury, chronic kidney disease, and comorbidities. Limitations As with any survey, there is the potential for participation bias. In addition, this study examines donor characteristics in isolation, however, asks respondent to assume there is a suitable candidate available. In reality, whenever donor quality is considered, it should be considered in the context of the intended recipient. Conclusion In a survey of increasingly medically complex deceased kidney donor cases, there was significant variability in donor decline among Canadian transplant specialists. Given relatively high rates of donor decline and apparent heterogeneity in acceptance decisions, Canadian transplant specialists may benefit from additional education regarding the benefits achieved from even medically complex kidney donors for appropriate candidates relative to remaining on dialysis on the transplant waitlist.
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Affiliation(s)
- A. J. Vinson
- Nova Scotia Health Authority, Halifax,
Canada,Division of Nephrology, Department of
Medicine, Dalhousie University, Halifax, NS, Canada,A. J. Vinson, Division of Nephrology,
Department of Medicine, Dalhousie University, Room 5081, 5th Floor Dickson
Building, Victoria General Hospital, 5820 University Ave, Halifax, NS B3H 1V8,
Canada.
| | - H. Cardinal
- Centre de recherche du Centre
hospitalier de l’Université de Montréal, QC, Canada
| | - C. Parsons
- Organ and Tissue Donation and
Transplantation, Canadian Blood Services, Ottawa, ON, Canada
| | - K. K. Tennankore
- Nova Scotia Health Authority, Halifax,
Canada,Division of Nephrology, Department of
Medicine, Dalhousie University, Halifax, NS, Canada
| | - R. Mainra
- Division of Nephrology, Department of
Medicine, University of Saskatchewan, Regina, Canada
| | - K. Maru
- Canadian Blood Services, Ottawa, ON,
Canada
| | - D. Treleaven
- Division of Nephrology, Department of
Medicine, McMaster University, Hamilton, ON, Canada
| | - J. Gill
- Division of Nephrology, Department of
Medicine, The University of British Columbia, Vancouver, Canada
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5
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Yu K, Husain SA, King K, Stevens JS, Parikh CR, Mohan S. Kidney nonprocurement in deceased donors with acute kidney injury. Clin Transplant 2022; 36:e14788. [PMID: 35924345 PMCID: PMC9771943 DOI: 10.1111/ctr.14788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 07/12/2022] [Accepted: 07/29/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Acute kidney injury (AKI) is common in deceased organ donors and is associated with high rates of kidney discard by transplant centers. High discard rates may consequently drive nonprocurement of these kidneys by organ procurement organizations. We aimed to study the relationship between donor AKI and kidney nonprocurement. METHODS Using U.S. registry data, we identified donors with at least one organ recovered from 2008 to 2018. We compared characteristics of donors with no kidneys procured across AKI stages, and used multivariable logistic regression to evaluate the relationship between AKI severity and kidney nonprocurement. RESULTS Overall 14 543 kidneys from 7620 donors were not procured, among which 93% were from donors with AKI. For 6945 donors with no kidneys procured but an extrarenal organ recovered, most had stage 3 (51%), followed by stage 1 (27%) and stage 2 AKI (15%). Nonprocured stage 3 donors were the youngest and had the lowest Kidney Donor Risk Index of all nonprocured donors. Adjusted odds of kidney nonprocurement were 1.14 (95%CI 1.02-1.27) for stage 1, 1.25 (95%CI 1.12-1.41) for stage 2, and 10.37 (95%CI 9.30-11.56) for stage 3 donors, compared to non-AKI donors. Among donors with minimum creatinine <1.5 mg/dl, stage 2 and 3 AKI were still associated with significantly higher odds of nonprocurement. CONCLUSIONS AKI severity is a strong risk factor for kidney nonprocurement. Efforts to address the organ shortage should focus on encouraging procurement and utilization of kidneys from deceased donors with severe AKI, given the large and rising prevalence of donor AKI and excellent transplant outcomes with these kidneys.
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Affiliation(s)
- Kathleen Yu
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA
| | - Syed A Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA
| | - Kristen King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA
| | - Jacob S Stevens
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA
| | - Chirag R Parikh
- Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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6
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Mehrotra S, Gonzalez JM, Schantz K, Yang JC, Friedewald JJ, Knight R. Patient Preferences for Waiting Time and Kidney Quality. Clin J Am Soc Nephrol 2022; 17:1363-1371. [PMID: 35985699 PMCID: PMC9625104 DOI: 10.2215/cjn.01480222] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 06/16/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND OBJECTIVES Approximately 20% of deceased donor kidneys are discarded each year in the United States. Some of these kidneys could benefit patients who are waitlisted. Understanding patient preferences regarding accepting marginal-quality kidneys could help more of the currently discarded kidneys be transplanted. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS This study uses a discrete choice experiment that presents a deceased donor kidney to patients who are waiting for, or have received, a kidney transplant. The choices involve trade-offs between accepting a kidney today or a future kidney. The options were designed experimentally to quantify the relative importance of kidney quality (expected graft survival and level of kidney function) and waiting time. Choices were analyzed using a random-parameters logit model and latent-class analysis. RESULTS In total, 605 participants completed the discrete choice experiment. Respondents made trade-offs between kidney quality and waiting time. The average respondent would accept a kidney today, with 6.5 years of expected graft survival (95% confidence interval, 5.9 to 7.0), to avoid waiting 2 additional years for a kidney, with 11 years of expected graft survival. Three patient-preference classes were identified. Class 1 was averse to additional waiting time, but still responsive to improvements in kidney quality. Class 2 was less willing to accept increases in waiting time for improvements in kidney quality. Class 3 was willing to accept increases in waiting time even for small improvements in kidney quality. Relative to class 1, respondents in class 3 were likely to be age ≤61 years and to be waitlisted before starting dialysis, and respondents in class 2 were more likely to be older, Black, not have a college degree, and have lower Karnofsky performance status. CONCLUSIONS Participants preferred accepting a lower-quality kidney in return for shorter waiting time, particularly those who were older and had lower functional status.
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Affiliation(s)
- Sanjay Mehrotra
- Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Northwestern University, Evanston, Illinois
| | - Juan Marcos Gonzalez
- Duke Clinical Research Institute, Duke University School of Medicine, Duke University, Durham, North Carolina
| | - Karolina Schantz
- Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Northwestern University, Evanston, Illinois
| | - Jui-Chen Yang
- Duke Clinical Research Institute, Duke University School of Medicine, Duke University, Durham, North Carolina
| | - John J. Friedewald
- Comprehensive Transplant Center, Department of Surgery, Northwestern Feinberg School of Medicine and Northwestern Memorial Hospital, Chicago, Illinois
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7
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Husain SA, King KL, Cron DC, Neidlinger NA, Ng H, Mohan S, Adler JT. Association of transplant center market concentration and local organ availability with deceased donor kidney utilization. Am J Transplant 2022; 22:1603-1613. [PMID: 35213789 PMCID: PMC9177771 DOI: 10.1111/ajt.17010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/30/2022] [Accepted: 02/20/2022] [Indexed: 01/25/2023]
Abstract
Although there is a shortage of kidneys available for transplantation, many transplantable kidneys are not procured or are discarded after procurement. We investigated whether local market competition and/or organ availability impact kidney procurement/utilization. We calculated the Herfindahl-Hirschman Index (HHI) for deceased donor kidney transplants (2015-2019) for 58 US donation service areas (DSAs) and defined 4 groups: HHI ≤ 0.32 (high competition), HHI = 0.33-0.51 (medium), HHI = 0.53-0.99 (low), and HHI = 1 (monopoly). We calculated organ availability for each DSA as the number kidneys procured per incident waitlisted candidate, grouped as: <0.42, 0.42-0.69, >0.69. Characteristics of procured organs were similar across groups. In adjusted logistic regression, the HHI group was inconsistently associated with composite export/discard (reference: high competition; medium: OR 1.16, 95% CI 1.11-1.20; low 1.01, 0.96-1.06; monopoly 1.19, 1.13-1.26) and increasing organ availability was associated with export/discard (reference: availability <0.42; 0.42-0.69: OR 1.35, 95% CI 1.30-1.40; >0.69: OR 1.83, 95% CI 1.73-1.93). When analyzing each endpoint separately, lower competition was associated with higher export and only market monopoly was weakly associated with lower discard, whereas higher organ availability was associated with export and discard. These results indicate that local organ utilization is more strongly influenced by the relative intensity of the organ shortage than by market competition between centers.
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Affiliation(s)
- Syed A. Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - David C. Cron
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Han Ng
- Department of Economics, Pennsylvania State University, State College, Pennsylvania
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Joel T. Adler
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, Texas
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8
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King KL, Husain SA, Perotte A, Adler JT, Schold JD, Mohan S. Deceased donor kidneys allocated out of sequence by organ procurement organizations. Am J Transplant 2022; 22:1372-1381. [PMID: 35000284 PMCID: PMC9081167 DOI: 10.1111/ajt.16951] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/20/2021] [Accepted: 01/03/2022] [Indexed: 01/25/2023]
Abstract
Deceased donor kidney allocation follows a ranked match-run of potential recipients. Organ procurement organizations (OPOs) are permitted to deviate from the mandated match-run in exceptional circumstances. Using match-run data for all deceased donor kidney transplants (Ktx) in the US between 2015 and 2019, we identified 1544 kidneys transplanted from 933 donors with an OPO-initiated allocation exception. Most OPOs (55/58) used this process at least once, but 3 OPOs performed 64% of the exceptions and just 2 transplant centers received 25% of allocation exception Ktx. At 2 of 3 outlier OPOs these transplants increased 136% and 141% between 2015 and 2019 compared to only a 35% increase in all Ktx. Allocation exception donors had less favorable characteristics (median KDPI 70, 41% with history of hypertension), but only 29% had KDPI ≥ 85% and the majority did not meet the traditional threshold for marginal kidneys. Allocation exception kidneys went to larger centers with higher offer acceptance ratios and to recipients with 2 fewer priority points-equivalent to 2 less years of waiting time. OPO-initiated exceptions for kidney allocation are growing increasingly frequent and more concentrated at a few outlier centers. Increasing pressure to improve organ utilization risks increasing out-of-sequence allocations, potentially exacerbating disparities in access to transplantation.
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Affiliation(s)
- Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - S Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Adler Perotte
- Department of Biomedical Informatics, Columbia University, New York, NY
| | - Joel T. Adler
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, TX
| | - Jesse D Schold
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
- Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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9
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Potluri VS, Bloom RD. Effect of Policy on Geographic Inequities in Kidney Transplantation. Am J Kidney Dis 2021; 79:897-900. [PMID: 34974033 DOI: 10.1053/j.ajkd.2021.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 11/18/2021] [Indexed: 11/11/2022]
Affiliation(s)
- Vishnu S Potluri
- Renal, Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19131
| | - Roy D Bloom
- Renal, Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19131.
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10
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King KL, Chaudhry SG, Ratner LE, Cohen DJ, Husain SA, Mohan S. Declined Offers for Deceased Donor Kidneys Are Not an Independent Reflection of Organ Quality. KIDNEY360 2021; 2:1807-1818. [PMID: 35372993 PMCID: PMC8785847 DOI: 10.34067/kid.0004052021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 08/06/2021] [Indexed: 02/04/2023]
Abstract
Background Deceased donor kidney offers are frequently declined multiple times before acceptance for transplantation, despite significant organ shortage and long waiting times. Whether the number of times a kidney has been declined, reflecting cumulative judgments of clinicians, is associated with long-term transplant outcomes remains unclear. Methods In this national, retrospective cohort study of deceased donor kidney transplants in the United States from 2008 to 2015 (n=78,940), we compared donor and recipient characteristics and short- and long-term graft and patient survival outcomes grouping by the sequence number at which the kidney was accepted for transplantation. We compared outcomes for kidneys accepted within the first seven offers in the match-run, after 8-100 offers, and for hard-to-place kidneys distinguishing those requiring >100 and >1000 offers before acceptance. Results Harder-to-place kidneys had lower donor quality and higher rates of delayed graft function (46% among kidneys requiring >1000 offers before acceptance versus 23% among kidneys with ≤7 offers). In unadjusted models, later sequence groups had higher hazard of all-cause graft failure, death-censored graft failure, and patient mortality; however, these associations were attenuated after adjusting for Kidney Donor Risk Index (KDRI). After adjusting for donor factors already taken into consideration during allocation, and recipient factors associated with long-term outcomes, graft, and patient survival outcomes were not significantly different for the hardest-to-place kidneys compared with the easiest-to-place kidneys, with the exception of death-censored graft failure (adjusted hazard ratio, 1.16, 95% CI, 1.05 to 1.28). Conclusion Late sequence offers may represent missed opportunities for earlier successful transplant for the higher-priority waitlisted candidates for whom the offers were declined.
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Affiliation(s)
- Kristen L King
- Department of Medicine, Columbia University Irving Medical Center, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York
| | - Sulemon G Chaudhry
- Division of Transplant Surgery, Department of Surgery, Columbia University Irving Medical Center, New York, New York
| | - Lloyd E Ratner
- Division of Transplant Surgery, Department of Surgery, Columbia University Irving Medical Center, New York, New York
| | - David J Cohen
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - S Ali Husain
- Department of Medicine, Columbia University Irving Medical Center, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York
| | - Sumit Mohan
- Department of Medicine, Columbia University Irving Medical Center, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York.,Department of Epidemiology, Mailman School of Public Health, New York, New York
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11
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Kayler LK, Nie J, Noyes K. Hardest-to-place kidney transplant outcomes in the United States. Am J Transplant 2021; 21:3663-3672. [PMID: 34212471 DOI: 10.1111/ajt.16739] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/22/2021] [Accepted: 06/27/2021] [Indexed: 01/25/2023]
Abstract
The outcomes of hardest-to-place kidney transplants-accepted last in the entire match run after being refused by previous centers-are unclear, potentially translating to risk aversion and unnecessary organ discard. We aimed to determine the outcomes of hardest-to-place kidney transplants and whether the organ acceptance position on the match run sufficiently captures the risk. This is a cohort study of the United Network for Organ Sharing data of all adult kidney-only transplant recipients from deceased donors between 2007 and 2018. Multiple regression models assessed delayed graft function, graft survival, and patient survival stratified by share type: local versus shared kidney acceptance position scaled by tertile. Among 127 028 kidney transplant recipients, 92 855 received local kidneys. The remaining received shared kidneys at sequence number 1-4 (n = 12 322), 5-164 (n = 10 485) and >164 (n = 11 366). Hardest-to-place kidneys, defined as the latest acceptance group in the match-run, were associated with delayed graft function (adjusted odds ratio 1.83, 95% confidence interval [CI] 1.74-1.92) and all-cause allograft failure (adjusted hazard ratio [aHR] 1.11, 95% CI 1.04-1.17). Results of this IRB-approved study were robust to the exclusion of operational allocation bypass and mandatory shares. The hardest-to-place kidneys accepted later in the match run were associated with higher graft failure and delayed graft function.
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Affiliation(s)
- Liise K Kayler
- Department of Surgery, University at Buffalo, Buffalo, New York, USA.,Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA.,Transplant and Kidney Care Regional Center of Excellence, Erie County Medical Center, Buffalo, New York, USA
| | - Jing Nie
- Department of Epidemiology and Environmental Health, University at Buffalo School of Public Health and Health Professions, Buffalo, New York, USA
| | - Katia Noyes
- Department of Epidemiology and Environmental Health, University at Buffalo School of Public Health and Health Professions, Buffalo, New York, USA
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12
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Adler JT, Husain SA, King KL, Mohan S. Greater complexity and monitoring of the new Kidney Allocation System: Implications and unintended consequences of concentric circle kidney allocation on network complexity. Am J Transplant 2021; 21:2007-2013. [PMID: 33314637 DOI: 10.1111/ajt.16441] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/03/2020] [Accepted: 12/07/2020] [Indexed: 01/25/2023]
Abstract
The deceased donor kidney allocation system in the United States has undergone several rounds of iterative changes, but these changes were not explicitly designed to address the geographic variation in access to transplantation. The new allocation system, expected to start in December 2020, changes the definition of "local allocation" from the Donation Service Area to 250 nautical mile circles originating from the donor hospital. While other solid organs have adopted a similar approach, the larger number of both kidney transplant centers and transplant candidates is likely to have different consequences. Here, we discuss the incredible increase in complexity in allocation, discuss some of the likely intended and unintended consequences, and propose metrics to monitor the new system.
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Affiliation(s)
- Joel T Adler
- Department of Surgery, Division of Transplant Surgery, Brigham and Women's Hospital, Boston, Massachusetts.,Center for Surgery and Public Health at Brigham and Women's Hospital, Boston, Massachusetts
| | - Syed A Husain
- Department of Medicine, Division of Nephrology, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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13
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Westphal SG, Langewisch ED, Robinson AM, Wilk AR, Dong JJ, Plumb TJ, Mullane R, Merani S, Hoffman AL, Maskin A, Miles CD. The impact of multi-organ transplant allocation priority on waitlisted kidney transplant candidates. Am J Transplant 2021; 21:2161-2174. [PMID: 33140571 DOI: 10.1111/ajt.16390] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 10/26/2020] [Accepted: 10/27/2020] [Indexed: 01/25/2023]
Abstract
Kidney-alone transplant (KAT) candidates may be disadvantaged by the allocation priority given to multi-organ transplant (MOT) candidates. This study identified potential KAT candidates not receiving a given kidney offer due to its allocation for MOT. Using the Organ Procurement and Transplant Network (OPTN) database, we identified deceased donors from 2002 to 2017 who had one kidney allocated for MOT and the other kidney allocated for KAT or simultaneous pancreas-kidney transplant (SPK) (n = 7,378). Potential transplant recipient data were used to identify the "next-sequential KAT candidate" who would have received a given kidney offer had it not been allocated to a higher prioritized MOT candidate. In this analysis, next-sequential KAT candidates were younger (p < .001), more likely to be racial/ethnic minorities (p < .001), and more highly sensitized than MOT recipients (p < .001). A total of 2,113 (28.6%) next-sequential KAT candidates subsequently either died or were removed from the waiting list without receiving a transplant. In a multivariable model, despite adjacent position on the kidney match-run, mortality risk was significantly higher for next-sequential KAT candidates compared to KAT/SPK recipients (hazard ratio 1.55, 95% confidence interval 1.44, 1.66). These results highlight implications of MOT allocation prioritization, and potential consequences to KAT candidates prioritized below MOT candidates.
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Affiliation(s)
- Scott G Westphal
- Department of Internal Medicine, Nephrology Division, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Eric D Langewisch
- Department of Internal Medicine, Nephrology Division, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Amanda M Robinson
- Research Department, United Network of Organ Sharing, Richmond, Virginia, USA
| | - Amber R Wilk
- Research Department, United Network of Organ Sharing, Richmond, Virginia, USA
| | - Jianghu J Dong
- Department of Internal Medicine, Nephrology Division, University of Nebraska Medical Center, Omaha, Nebraska, USA.,Department of Biostatistics, University of Nebraska Medical Center, College of Public Health, Omaha, Nebraska, USA
| | - Troy J Plumb
- Department of Internal Medicine, Nephrology Division, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Ryan Mullane
- Department of Internal Medicine, Nephrology Division, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Shaheed Merani
- Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Arika L Hoffman
- Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Alexander Maskin
- Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Clifford D Miles
- Department of Internal Medicine, Nephrology Division, University of Nebraska Medical Center, Omaha, Nebraska, USA
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14
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Chandar J, Chen L, Defreitas M, Ciancio G, Burke G. Donor considerations in pediatric kidney transplantation. Pediatr Nephrol 2021; 36:245-257. [PMID: 31932959 DOI: 10.1007/s00467-019-04362-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 08/18/2019] [Accepted: 09/06/2019] [Indexed: 01/10/2023]
Abstract
This article reviews kidney transplant donor options for children with end-stage kidney disease (ESKD). Global access to kidney transplantation is variable. Well-established national policies, organizations for organ procurement and allocation, and donor management policies may account for higher deceased donor (DD transplants) in some countries. Living donor kidney transplantation (LD) predominates in countries where organ donation has limited national priority. In addition, social, cultural, religious and medical factors play a major role in both LD and DD kidney transplant donation. Most children with ESKD receive adult-sized kidneys. The transplanted kidney has a finite survival and the expectation is that children who require renal replacement therapy from early childhood will probably have 2 or 3 kidney transplants in their lifetime. LD transplant provides better long-term graft survival and is a better option for children. When a living related donor is incompatible with the intended recipient, paired kidney exchange with a compatible unrelated donor may be considered. When the choice is a DD kidney, the decision-making process in accepting a donor offer requires careful consideration of donor history, kidney donor profile index, HLA matching, cold ischemia time, and recipient's time on the waiting list. Accepting or declining a DD offer in a timely manner can be challenging when there are undesirable facts in the donor's history which need to be balanced against prolonging dialysis in a child. An ongoing global challenge is the significant gap between organ supply and demand, which has increased the need to improve organ preservation techniques and awareness for organ donation.
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Affiliation(s)
- Jayanthi Chandar
- Department of Pediatrics, Division of Pediatric Nephrology, University of Miami Miller School of Medicine, Miami Transplant Institute, PO Box 016960 (M714), Miami, FL, 33101, USA.
| | - Linda Chen
- Department of Surgery, Division of Transplantation, University of Miami Miller School of Medicine, Miami Transplant Institute, Miami, FL, USA
| | - Marissa Defreitas
- Department of Pediatrics, Division of Pediatric Nephrology, University of Miami Miller School of Medicine, Miami Transplant Institute, PO Box 016960 (M714), Miami, FL, 33101, USA
| | - Gaetano Ciancio
- Department of Surgery, Division of Transplantation, University of Miami Miller School of Medicine, Miami Transplant Institute, Miami, FL, USA
| | - George Burke
- Department of Surgery, Division of Transplantation, University of Miami Miller School of Medicine, Miami Transplant Institute, Miami, FL, USA
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15
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Yu K, King K, Husain SA, Dube GK, Stevens JS, Ratner LE, Cooper M, Parikh CR, Mohan S. Kidney nonprocurement in solid organ donors in the United States. Am J Transplant 2020; 20:3413-3425. [PMID: 32342627 PMCID: PMC8448558 DOI: 10.1111/ajt.15952] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 03/29/2020] [Accepted: 04/13/2020] [Indexed: 01/25/2023]
Abstract
There are limited data on the nonprocurement of kidneys from solid organ donors. Analysis of Standard Transplant Analysis and Research files was undertaken on all deceased donors in the United States with at least 1 solid organ recovered. From 2000 to 2018, 21 731 deceased donor kidneys (averaging 1144 kidneys per year) were not procured. No kidneys were procured from 8% of liver donors, 3% of heart donors, and 3% of lung donors. Compared to donors with all kidneys procured, those with none procured were older and more likely obese, black, hypertensive, diabetic, hepatitis C positive, smokers, Public Health Service - Increased Risk designated, deceased after cardiac death, or deceased after cerebrovascular accident. Although these donors had lower quality kidneys (median Kidney Donor Risk Index (interquartile range) 1.9 (1.0) vs 1.2 (0.7)), there was substantial overlap in quality between nonprocured and procured kidneys. Nearly one third of nonprocurements were attributed to donor history. Donors with elevated terminal creatinine likely resulting from acute kidney injury (AKI) had higher odds of kidney nonprocurement. Nonprocurement odds varied widely across Organ Procurement and Transplantation Network regions, with a positive correlation between donor kidney nonprocurements and kidney discards at the donation service area level. These findings suggest current discard rates underestimate the underutilization of deceased donor kidneys and more research is needed to optimize safe procurement and utilization of kidneys from donors with AKI.
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Affiliation(s)
- Kathleen Yu
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Syed A. Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Geoffrey K. Dube
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York
| | - Jacob S. Stevens
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York
| | - Lloyd E. Ratner
- Department of Surgery, Division of Transplantation, Columbia University Medical Center, New York, New York
| | - Matthew Cooper
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital, Washington, District of Columbia
| | - Chirag R. Parikh
- Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
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16
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King KL, Husain SA, Schold JD, Patzer RE, Reese PP, Jin Z, Ratner LE, Cohen DJ, Pastan SO, Mohan S. Major Variation across Local Transplant Centers in Probability of Kidney Transplant for Wait-Listed Patients. J Am Soc Nephrol 2020; 31:2900-2911. [PMID: 33037131 PMCID: PMC7790218 DOI: 10.1681/asn.2020030335] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 08/06/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Geographic disparities in access to deceased donor kidney transplantation persist in the United States under the Kidney Allocation System (KAS) introduced in 2014, and the effect of transplant center practices on the probability of transplantation for wait-listed patients remains unclear. METHODS To compare probability of transplantation across centers nationally and within donation service areas (DSAs), we conducted a registry study that included all United States incident adult kidney transplant candidates wait listed in 2011 and 2015 (pre-KAS and post-KAS cohorts comprising 32,745 and 34,728 individuals, respectively). For each center, we calculated the probability of deceased donor kidney transplantation within 3 years of wait listing using competing risk regression, with living donor transplantation, death, and waiting list removal as competing events. We examined associations between center-level and DSA-level characteristics and the adjusted probability of transplant. RESULTS Candidates received deceased donor kidney transplants within 3 years of wait listing more frequently post-KAS (22%) than pre-KAS (19%). Nationally, the probability of transplant varied 16-fold between centers, ranging from 4.0% to 64.2% in the post-KAS era. Within DSAs, we observed a median 2.3-fold variation between centers, with up to ten-fold and 57.4 percentage point differences. Probability of transplantation was correlated in the post-KAS cohort with center willingness to accept hard-to-place kidneys (r=0.55, P<0.001) and local organ supply (r=0.44, P<0.001). CONCLUSIONS Large differences in the adjusted probability of deceased donor kidney transplantation persist under KAS, even between centers working with the same local organ supply. Probability of transplantation is significantly associated with organ offer acceptance patterns at transplant centers, underscoring the need for greater understanding of how centers make decisions about organs offered to wait-listed patients and how they relate to disparities in access to transplantation.
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Affiliation(s)
- Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- The Columbia University Renal Epidemiology Group, New York, New York
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- The Columbia University Renal Epidemiology Group, New York, New York
| | - Jesse D Schold
- Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
| | - Rachel E Patzer
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Peter P Reese
- Renal-Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zhezhen Jin
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Lloyd E Ratner
- Department of Surgery, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York
| | - David J Cohen
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Stephen O Pastan
- Renal Division, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- The Columbia University Renal Epidemiology Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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17
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Deceased vs. living donor kidney transplantation in prediction of acute renal allograft rejection using Tc-99m DTPA renal scan. Ann Nucl Med 2020; 34:847-855. [PMID: 32918204 DOI: 10.1007/s12149-020-01511-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 08/16/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVES No data are available regarding different prognostic values of Tc-99m diethylenetriaminepentaacetic acid (DTPA) renal scan in kidney transplantation (KT) recipients according to two distinct donor types: deceased donor KT (DDKT) and living donor KT (LDKT). We evaluated whether the interpretation of Tc-99m DTPA renal scan should be different by the donor type in predicting acute renal allograft rejection (AR). METHODS One hundred and seven KT recipients (61 DDKT and 46 LDKT) were included in this study. Tc-99m DTPA renal scan was performed 1 week after KT. AR was defined as pathological evidence of renal allograft rejection during the first 6 months of KT. Clinical factors and Tc-99m DTPA renal scan findings were compared between patients with and without AR. To further analyze the effect of the donor type, they were again compared within DDKT and LDKT recipients, respectively. RESULTS AR occurred in 15 patients (7 DDKT and 8 LDKT recipients). Among all patients, time to peak uptake (TTP) of the cortex (TTPCX) measured by Tc-99m DTPA renal scan was independently predictive of AR. Moreover, TTPKD (TTP of the whole transplanted kidney) and TTPCX were the only predictors of AR among DDKT recipients. The most accurate predictors were TTPCX and kidney area on renal scan for DDKT and LDKT, respectively. However, these parameters could not predict AR for the opposite donor type. CONCLUSIONS AR could be effectively predicted by Tc-99m DTPA renal scan obtained at 1 week post-KT. Different parameters should be applied according to the donor type in the prediction of AR.
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18
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Moris D, Schmitz R, Dimitrokallis N, Schmidt T, Vernadakis S. The Paradox of Increasing Waiting List Mortality and Declining Utilization of Deceased Donor Grafts in Kidney Transplant. EXP CLIN TRANSPLANT 2020; 19:92-93. [PMID: 32490764 DOI: 10.6002/ect.2019.0427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Pancreatic neuroendocrine tumors are a rare type of tumor with malignant potential, characterized by slowgrowth, frequent hepatic metastatic lesions that usually stay contained within the liver. In patients with unresectable liver metastatic pancreatic neuroendocrine tumors, liver transplant is the only treatment available. Insulinomas are the most common pancreatic neuroendocrine tumors, and 5% to 10% of insulinomas are malignant. We herein report a case of a living-donor liver transplant with distal pancreatectomy for a patient with hepatic metastatic pancreatic insulinoma with a 13-year postoperative survival.
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Affiliation(s)
- Dimitrios Moris
- From the Duke Surgery, Duke University Medical Center, Durham, North Carolina, USA; and the Transplant Unit, Laikon General Hospital, Athens, Greece.,From the Transplant Unit, Laikon General Hospital, Athens, Greece
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19
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Bui K, Kilambi V, Mehrotra S. Functional status-based risk-benefit analyses of high-KDPI kidney transplant versus dialysis. Transpl Int 2019; 32:1297-1312. [PMID: 31323698 PMCID: PMC6874710 DOI: 10.1111/tri.13483] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 01/25/2019] [Accepted: 07/16/2019] [Indexed: 12/20/2022]
Abstract
Yearly, over half of deceased-donor kidneys with kidney donor profile index (KDPI) > 85 were discarded, yet they could improve survival outcomes for dialysis patients. The potential risk of high-KDPI kidney transplant (KT) depends on the patient's overall health summarized by functional status, which should be examined. The analyzed cohort consisted of adult deceased-donor KT candidates on dialysis listed in 2005-2014. A multivariate Cox proportional hazards model was fitted with functional status, measured using Karnofsky Performance Score (KPS), and transplant status as time-varying covariates. Derived from the Cox model, survival curves were analyzed to compare the survival outcomes between dialysis and transplant with different kidney qualities across three different KPS strata: 10-40, 50-70, and 80-100. With KDPI 0-99 KT, KPS 10-40 patients will survive ≥4.38 years median compared with 3.21 years median if they remained on dialysis. For KPS 50+ patients, the median survival years increase from 5.82 to 6.60 years on dialysis to ≥7.83 years after KDPI < 100 KT. The risk-adjusted analyses suggested that patients are expected to benefit more from KDPI 81-99 KT than from remaining on dialysis.
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Affiliation(s)
- Kevin Bui
- Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL
- Center for Engineering and Health, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
- Mathematics; University of California, Irvine; Irvine, CA
| | | | - Sanjay Mehrotra
- Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL
- Center for Engineering and Health, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Northwestern University Feinberg School of Medicine, Chicago, IL
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20
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Evaluation of Accepting Kidneys of Varying Quality for Transplantation or Expedited Placement With Decision Trees. Transplantation 2019; 103:980-989. [PMID: 30720682 DOI: 10.1097/tp.0000000000002585] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Underutilization of marginal-quality kidneys for transplantation produced ideas of expediting kidney placement for populations with decreased opportunities of receiving transplants. Such policies can be less efficacious for specific individuals and should be scrutinized until the decision-making for accepting marginal-quality organs, which has relied on experiential judgment, is better understood at the individual level. There exist rigorous tools promoting personalized decisions with useful and objective information. METHODS This article introduces a decision-tree methodology that analyzes a patient's dilemma: to accept a kidney offer now or reject it. The methodology calculates the survival benefit of accepting a kidney given a certain quality now and the survival benefit of rejecting it. Survival benefit calculation accounts for patients' and donors' characteristics and transplant centers' and organ procurement organizations' performances and incorporates patients' perceived transplant and dialysis utilities. Valuations of rejecting an offer are contingent on future opportunities and subject to uncertainty in the timing of successive kidney offers and their quality and donor characteristics. RESULTS The decision tree was applied to a realistic patient profile as a demonstration. The tool was tested on 1000 deceased-donor kidney offers in 2016. Evaluating up to 1 year of future offers, the tool attains 61% accuracy, with transplant utility of 1.0 and dialysis utility of 0.5. The accuracy reveals potential bias in kidney offer acceptance/rejection at transplant centers. CONCLUSIONS The decision-tree tool presented could aid personalized transplant decision-making in the future by providing patients with calculated, individualized survival benefits between accepting and rejecting a kidney offer.
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21
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Davis S, Cooper JE. No Time to Wait: Optimizing Use of Deceased Donor Kidneys. Clin J Am Soc Nephrol 2019; 14:1560-1561. [PMID: 37095655 PMCID: PMC6832037 DOI: 10.2215/cjn.10820919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Scott Davis
- Division of Renal Disease and Hypertension, Transplant Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado
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22
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Brennan C, Husain SA, King KL, Tsapepas D, Ratner LE, Jin Z, Schold JD, Mohan S. A Donor Utilization Index to Assess the Utilization and Discard of Deceased Donor Kidneys Perceived as High Risk. Clin J Am Soc Nephrol 2019; 14:1634-1641. [PMID: 31624140 PMCID: PMC6832051 DOI: 10.2215/cjn.02770319] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 07/24/2019] [Indexed: 02/02/2023]
Abstract
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 (R 2=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.
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Affiliation(s)
- Corey Brennan
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Transplant Surgery, New York-Presbyterian Hospital, New York, New York
| | - Syed Ali Husain
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Kristen L King
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Demetra Tsapepas
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Transplant Surgery, New York-Presbyterian Hospital, New York, New York
| | - Lloyd E Ratner
- Department of Surgery, Columbia University College of Physicians and Surgeons, New York, New York
| | | | - Jesse D Schold
- Department of Quantitative Health Sciences and.,Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Sumit Mohan
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York; .,Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York; and
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23
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Husain SA, King KL, Pastan S, Pazter RE, Cohen DJ, Radhakrishnan J, Mohan S. Association Between Declined Offers of Deceased Donor Kidney Allograft and Outcomes in Kidney Transplant Candidates. JAMA Netw Open 2019; 2:e1910312. [PMID: 31469394 PMCID: PMC6724162 DOI: 10.1001/jamanetworkopen.2019.10312] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
IMPORTANCE In the United States, substantial disparities in access to kidney transplant exist for wait-listed candidates with end-stage renal disease. The implications of transplant centers' willingness to accept kidney offers for access to transplant and mortality outcomes are unknown. OBJECTIVE To determine the outcomes for wait-listed kidney transplant candidates after the transplant center's refusal of a deceased donor kidney offer. DESIGN, SETTING, AND PARTICIPANTS This cohort study obtained data from the United Network for Organ Sharing Potential Transplant Recipient data set on all deceased donor kidney offers in the United States made between January 1, 2008, and December 31, 2015. The final study cohort included adult patients who were wait-listed for kidney transplant and received at least 1 allograft offer during the study period (N = 280 041). Data analysis was conducted from June 1, 2018, to March 30, 2019. EXPOSURE Candidate state of residence. MAIN OUTCOMES AND MEASURES Waiting list outcome event groups included received deceased donor allograft, received living donor allograft, died while on the waiting list, removed from the waiting list without a transplant, or still on the waiting list at the end of follow-up. RESULTS Among the 280 041 kidney transplant candidates included in the study, the mean (SD) age at wait-listing was 51.1 (13.1) years, and male patients were predominant (171 517 [61.2%]). In this cohort, 81 750 candidates (29.2%) received a deceased donor kidney allograft, 30 870 (11.0%) received a living donor allograft, 25 967 (9.3%) died while on the waiting list, and 59 359 (21.2%) were removed from the waiting list. Overall, 10 candidates with at least 1 previous allograft offer died each day during the study period. Time to first offer was similar for candidates who received deceased donor kidney allograft compared with those who died while waiting (median [interquartile range {IQR}] time, 79 [16-426] days vs 78 [17-401] days, respectively). Deceased donor allograft recipients had a median of 17 offers (IQR, 6-44) over 422 days (IQR, 106-909 days), whereas candidates who died while waiting received a median of 16 offers (IQR, 6-41) over 651 days (IQR, 304-1117 days). Most kidneys (84%) were declined on behalf of at least 1 candidate before being accepted for transplant. As reported by centers, organ or donor quality concerns accounted for 8 416 474 (92.6%) of all declined offers, whereas offers were infrequently refused because of patient-related factors (232 193 [2.6%]), logistical limitations (49 492 [0.5%]), or other concerns. The odds of death after an offer and the median number of offers received prior to death varied considerably by state. CONCLUSIONS AND RELEVANCE This study found that transplant candidates appeared to receive a large number of viable deceased donor kidney offers that were refused on their behalf by transplant centers, potentially exacerbating the detrimental consequences of the organ shortage; increased transparency in organ allocation process and decisions may improve patient-centered care and access to kidney transplant.
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Affiliation(s)
- S. Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen L. King
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Stephen Pastan
- Renal Division, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Rachel E. Pazter
- Division of Transplantation, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - David J. Cohen
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Jai Radhakrishnan
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
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King KL, Husain SA, Cohen DJ, Mohan S. Deceased Donor Kidneys Are Harder to Place on the Weekend. Clin J Am Soc Nephrol 2019; 14:904-906. [PMID: 31015260 PMCID: PMC6556725 DOI: 10.2215/cjn.00620119] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 03/27/2019] [Indexed: 11/23/2022]
Affiliation(s)
- Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York; and
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York; and
| | - David J Cohen
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York; .,The Columbia University Renal Epidemiology Group, New York, New York; and.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
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25
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Harhay MO, Porcher R, Thabut G, Crowther MJ, DiSanto T, Rubin S, Penfil Z, Bing Z, Christie JD, Diamond JM, Cantu E. Donor Lung Sequence Number and Survival after Lung Transplantation in the United States. Ann Am Thorac Soc 2019; 16:313-320. [PMID: 30562050 PMCID: PMC6394123 DOI: 10.1513/annalsats.201802-100oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 12/11/2018] [Indexed: 11/20/2022] Open
Abstract
RATIONALE In the United States, an algorithm known as the "match-run" creates an ordered ranking of potential recipients for available lung allografts. A potential recipient's match-run position, or "sequence number," is available to the transplant center when contacted with a lung offer. Lung offers with higher sequence numbers may be interpreted as a crowd-sourced evaluation of poor organ quality, though the association between the sequence number at which a lung is accepted and its recipient's post-transplant outcomes is unclear. OBJECTIVES We sought to evaluate the primary reasons provided when a lung offer was refused by a transplant center, transplant center and donor/organ factors associated with a higher sequence number at acceptance, and the association of the sequence number at acceptance with post-transplant mortality and graft failure. METHODS Match-run outcomes for lung offers that occurred in the United States from May 2007 through June 2014 were merged with recipient follow-up data through December 2017. Associations between the sequence number at the time of acceptance and selected transplant center and donor characteristics were estimated using multivariable logistic and multinomial regression models. The associations between the final sequence number and recipient survival and graft survival were estimated using multivariable time-to-event models. RESULTS Of 10,981 lung offer acceptances, nearly 70% were accepted by one of the top 10 ranked candidates. Higher median annual center volume and potential indicators of organ quality (e.g., abnormal chest radiograph or bronchoscopy) were associated with a higher sequence number at acceptance. There was weak evidence for a small positive relationship between the sequence number at acceptance and both mortality and graft failure. For example, the unadjusted and adjusted hazard ratios for death associated with the log-sequence number at acceptance were 1.019 (95% confidence interval, 1.001-1.038) and 1.011 (95% confidence interval, 0.989-1.033), respectively. On the absolute scale, using the multivariable model, a 10-fold increase in the sequence number translated into a 0.8% absolute decline in the predicted 5-year survival. CONCLUSIONS Acceptance of a donor lung offer at a later point in the match-run was associated with measurable indicators of organ quality, but not with clinically meaningful differences in post-transplant mortality or graft failure.
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Affiliation(s)
- Michael O. Harhay
- Palliative and Advanced Illness Research Center
- Department of Biostatistics, Epidemiology and Informatics
| | - Raphaël Porcher
- Centre d'Epidémiologie Clinique, Hôpital Hôtel-Dieu, Paris, France
- Team METHODS, Centre de Recherche Epidémiologie et Statistiques Sorbonne Paris Cité, Institut National de la Santé et de la Recherche Médicale U1153, Paris, France
- Paris Descartes University, Paris, France
| | - Gabriel Thabut
- Service de Pneumologie et Transplantation Pulmonaire, Hôpital Bichat, Paris, France
| | - Michael J. Crowther
- Biostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom; and
| | | | | | | | - Zhou Bing
- Department of Cardiothoracic Surgery, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Jason D. Christie
- Department of Biostatistics, Epidemiology and Informatics
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joshua M. Diamond
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Bae S, Massie AB, Thomas AG, Bahn G, Luo X, Jackson KR, Ottmann SE, Brennan DC, Desai NM, Coresh J, Segev DL, Garonzik Wang JM. Who can tolerate a marginal kidney? Predicting survival after deceased donor kidney transplant by donor-recipient combination. Am J Transplant 2019; 19:425-433. [PMID: 29935051 PMCID: PMC6309666 DOI: 10.1111/ajt.14978] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 06/07/2018] [Accepted: 06/15/2018] [Indexed: 01/25/2023]
Abstract
The impact of donor quality on post-kidney transplant (KT) survival may vary by candidate condition. Characterizing this variation would increase access to KT without sacrificing outcomes. We developed a tool to estimate post-KT survival for combinations of donor quality and candidate condition. We studied deceased donor KT recipients (n = 120 818) and waitlisted candidates (n = 376 272) between 2005 and 2016 by using the Scientific Registry of Transplant Recipients. Donor quality and candidate condition were measured by using the Kidney Donor Profile Index (KDPI) and the Estimated Post Transplant Survival (EPTS) score. We estimated 5-year post-KT survival based on combinations of KDPI and EPTS score using random forest algorithms and waitlist survival by EPTS score using Weibull regressions. Survival benefit was defined as absolute reduction in mortality risk with KT. For candidates with an EPTS score of 80, 5-year waitlist survival was 47.6%, and 5-year post-KT survival was 78.9% after receiving kidneys with a KDPI of 20 and was 70.7% after receiving kidneys with a KDPI of 80. The impact of KDPI on survival benefit varied greatly by EPTS score. For candidates with low EPTS scores (eg, <40), the KDPI had limited impact on survival benefit. For candidates with middle or high EPTS scores (eg, >40), survival benefit decreased with higher KDPI but was still substantial even with a KDPI of 100 (>16 percentage points). Our prediction tool (www.transplantmodels.com/kdpi-epts) can support individualized decision-making on kidney offers in clinical practice.
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Affiliation(s)
- Sunjae Bae
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Allan B. Massie
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Alvin G. Thomas
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Gahyun Bahn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Xun Luo
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kyle R. Jackson
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Shane E. Ottmann
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Daniel C. Brennan
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Niraj M. Desai
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Dorry L. Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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27
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Cheng XS, Busque S, Lee J, Discipulo K, Hartley C, Tulu Z, Scandling JD, Tan JC. A new approach to kidney wait-list management in the kidney allocation system era: Pilot implementation and evaluation. Clin Transplant 2018; 32:e13406. [PMID: 30218580 DOI: 10.1111/ctr.13406] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 08/23/2018] [Accepted: 09/10/2018] [Indexed: 11/29/2022]
Abstract
Kidney transplant wait-list management is becoming increasingly complex. We introduced a novel wait-list management strategy at our center, the Transplant Readiness Assessment Clinic (TRAC), whereby patients whose Kidney Allocation Scores surpass a threshold are actively managed. From January 1, 2016 through June 30, 2017, we evaluated 195 patients through TRAC. Compared to pre-TRAC systems at our institution, TRAC resulted in a higher proportion of activation at 18 months (38% vs 22%-26%, P < 0.0001), despite being enriched in patients with long dialysis duration. TRAC also resulted in a higher proportion of wait-list removal (15% vs 8%-9%, P < 0.05) although combined wait-list removal and death on wait-list did not differ (18% vs 16%-17%). Median time to activation was 356 days from TRAC evaluation. Of the transplant barriers, need for cardiovascular studies was the most common (31%), followed by other medical issues (23%), poor functional status (13%), and psychosocial issues (10%). By concentrating center resources on patients most likely to be transplanted after activation and performing active patient management close to the time of transplant, TRAC has the potential to significantly enhance kidney transplant success in regions with long wait-times.
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Affiliation(s)
- Xingxing S Cheng
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Stephan Busque
- Department of Surgery, Stanford University School of Medicine, Stanford, California
| | - Jenny Lee
- Stanford Hospital and Clinics, Stanford, California
| | | | | | - Zeynep Tulu
- Stanford Hospital and Clinics, Stanford, California
| | - John D Scandling
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Jane C Tan
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California
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Mohan S, Chiles MC. Achieving Equity through Reducing Variability in Accepting Deceased Donor Kidney Offers. Clin J Am Soc Nephrol 2017; 12:1212-1214. [PMID: 28751578 PMCID: PMC5544510 DOI: 10.2215/cjn.06220617] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons, New York, New York; and
- Department of Epidemiology, Mailman School of Public Health and
- The Columbia University Renal Epidemiology Group, New York, New York
| | - Mariana C. Chiles
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons, New York, New York; and
- The Columbia University Renal Epidemiology Group, New York, New York
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