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Marino IR, Roth AE, Rees MA. Living Kidney Donor Transplantation and Global Kidney Exchange. EXP CLIN TRANSPLANT 2022; 20:5-9. [DOI: 10.6002/ect.donorsymp.2022.l12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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2
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Bastos J, Machado DJDB, David-Neto E. Increasing transplantability in Brazil: time to discuss Kidney Paired Donation. J Bras Nefrol 2021; 44:417-422. [PMID: 35107119 PMCID: PMC9518625 DOI: 10.1590/2175-8239-jbn-2021-0141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 10/19/2021] [Indexed: 12/26/2022] Open
Abstract
Introduction: Kidney transplantation (KT) is the best treatment for chronic kidney disease. In Brazil, there are currently more than 26 thousand patients on the waitlist. Kidney Paired Donation (KPD) offers an incompatible donor-recipient pair the possibility to exchange with another pair in the same situation, it is a strategy to raise the number of KT. Discussion: KPD ceased being merely an idea over 20 years ago. It currently accounts for 16.2% of living donors KT (LDKT) in the USA and 8% in Europe. The results are similar to other LDKT. It is a promising alternative especially for highly sensitized recipients, who tend to accumulate on the waitlist. KPD is not limited to developed countries, as excellent results were already published in India in 2014. In Guatemala, the first LDKT through KPD was performed in 2011. However, the practice remains limited to isolated cases in Latin America. Conclusion: KPD programs with different dimensions, acceptance rules and allocation criteria are being developed and expanded worldwide to meet the demands of patients. The rise in transplantability brought about by KPD mostly meets the needs of highly sensitized patients. The Brazilian transplant program is mature enough to accept the challenge of starting its KPD program, intended primarily to benefit patients who have a low probability of receiving a transplant from a deceased donor.
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Affiliation(s)
- Juliana Bastos
- Santa Casa de Misericórdia de Juiz de Fora, Departamento de Transplante, Juiz de Fora, MG, Brasil
| | | | - Elias David-Neto
- Hospital das Clínicas da Universidade de São Paulo, Departamento de Transplante, São Paulo, SP, Brasil
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Abstract
Kidney failure is among the leading causes of death worldwide, and the best treatment is transplantation. However, transplants are in short supply because of shortfalls of transplantable organs and of finances. In the United States and some other countries, kidney exchange chains have emerged as a way to increase the number of transplants; patients who have a willing donor but cannot receive that donor’s kidney can each receive a compatible kidney from another patient’s intended donor. Such programs are much better developed within the borders of wealthy countries, which is of little help to patients in countries with limited kidney transplantation or exchange. This paper proposes and analyzes a way to extend kidney exchange chains to share the benefits globally. Kidney failure is a worldwide scourge, made more lethal by the shortage of transplants. We propose a way to organize kidney exchange chains internationally between middle-income countries with financial barriers to transplantation and high-income countries with many hard to match patients and patient–donor pairs facing lengthy dialysis. The proposal involves chains of exchange that begin in the middle-income country and end in the high-income country. We also propose a way of financing such chains using savings to US health care payers.
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Wang W, Rees MA, Leichtman AB, Song PXK, Bray M, Ashby VB, Shearon T, Whiteman A, Kalbfleisch JD. Deceased donors as nondirected donors in kidney paired donation. Am J Transplant 2021; 21:103-113. [PMID: 32803856 PMCID: PMC9436421 DOI: 10.1111/ajt.16268] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 07/31/2020] [Accepted: 08/01/2020] [Indexed: 01/25/2023]
Abstract
As proof of concept, we simulate a revised kidney allocation system that includes deceased donor (DD) kidneys as chain-initiating kidneys (DD-CIK) in a kidney paired donation pool (KPDP), and estimate potential increases in number of transplants. We consider chains of length 2 in which the DD-CIK gives to a candidate in the KPDP, and that candidate's incompatible donor donates to theDD waitlist. In simulations, we vary initial pool size, arrival rates of candidate/donor pairs and (living) nondirected donors (NDDs), and delay time from entry to the KPDP until a candidate is eligible to receive a DD-CIK. Using data on candidate/donor pairs and NDDs from the Alliance for Paired Kidney Donation, and the actual DDs from the Scientific Registry of Transplant Recipients (SRTR) data, simulations extend over 2 years. With an initial pool of 400, respective candidate and NDD arrival rates of 2 per day and 3 per month, and delay times for access to DD-CIK of 6 months or less, including DD-CIKs increases the number of transplants by at least 447 over 2 years, and greatly reduces waiting times of KPDP candidates. Potential effects on waitlist candidates are discussed as are policy and ethical issues.
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Affiliation(s)
- W. Wang
- University of Michigan, Department of Biostatistics, Ann Arbor, MI,University of Michigan, Kidney Epidemiology and Cost Center; Ann Arbor, MI
| | - M. A. Rees
- University of Toledo Medical Center, Department of Urology, Toledo, OH
| | - A. B. Leichtman
- University of Michigan, Kidney Epidemiology and Cost Center; Ann Arbor, MI,University of Michigan, Department of Medicine, Ann Arbor MI
| | - P. X-K. Song
- University of Michigan, Department of Biostatistics, Ann Arbor, MI,University of Michigan, Kidney Epidemiology and Cost Center; Ann Arbor, MI
| | - M. Bray
- GSK, Research statistics. Collegeville, PA
| | - V. B. Ashby
- University of Michigan, Department of Biostatistics, Ann Arbor, MI,University of Michigan, Kidney Epidemiology and Cost Center; Ann Arbor, MI
| | - T. Shearon
- University of Michigan, Department of Biostatistics, Ann Arbor, MI,University of Michigan, Kidney Epidemiology and Cost Center; Ann Arbor, MI
| | - A Whiteman
- University of Michigan, Department of Biostatistics, Ann Arbor, MI
| | - J. D. Kalbfleisch
- University of Michigan, Department of Biostatistics, Ann Arbor, MI,University of Michigan, Kidney Epidemiology and Cost Center; Ann Arbor, MI
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de Klerk M, Kal-van Gestel JA, van de Wetering J, Kho ML, Middel-de Sterke S, Betjes MGH, Zuidema WC, Roelen D, Glorie K, Roodnat JI. Creating Options for Difficult-to-match Kidney Transplant Candidates. Transplantation 2021; 105:240-248. [PMID: 32101984 DOI: 10.1097/tp.0000000000003203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Most transplantation centers recognize a small patient population that unsuccessfully participates in all available, both living and deceased donor, transplantation programs for many years: the difficult-to-match patients. This population consists of highly immunized and/or ABO blood group O or B patients. METHODS To improve their chances, Computerized Integration of Alternative Transplantation programs (CIAT) were developed to integrate kidney paired donation, altruistic/unspecified donation, and ABO and HLA desensitization. To compare CIAT with reality, a simulation was performed, including all patients, donors, and pairs who participated in our programs in 2015-2016. Criteria for inclusion as difficult-to-match, selected-highly immunized (sHI) patient were as follows: virtual panel reactive antibody >85% and participating for 2 years in Eurotransplant Acceptable Mismatch program. sHI patients were given priority, and ABO blood group incompatible (ABOi) and/or HLA incompatible (HLAi) matching with donor-specific antigen-mean fluorescence intensity (MFI) <8000 were allowed. For long-waiting blood group O or B patients, ABOi matches were allowed. RESULTS In reality, 90 alternative program transplantations were carried out: 73 compatible, 16 ABOi, and 1 both ABOi and HLAi combination. Simulation with CIAT resulted in 95 hypothetical transplantations: 83 compatible (including 1 sHI) and 5 ABOi combinations. Eight sHI patients were matched: 1 compatible, 6 HLAi with donor-specific antigen-MFI <8000 (1 also ABOi), and 1 ABOi match. Six/eight combinations for sHI patients were complement-dependent cytotoxicity cross-match negative. CONCLUSIONS CIAT led to 8 times more matches for difficult-to-match sHI patients. This offers them better chances because of a more favorable MFI profile against the new donor. Besides, more ABO compatible matches were found for ABOi couples, while total number of transplantations was not hampered. Prioritizing difficult-to-match patients improves their chances without affecting the chances of regular patients.
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Affiliation(s)
- Marry de Klerk
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | | | | | - Marcia L Kho
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | | | - Michiel G H Betjes
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Willij C Zuidema
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Dave Roelen
- Department of Immunohaematology and Blood Transfusion LUMC, Leiden, The Netherlands
| | - Kristiaan Glorie
- Erasmus Q-Intelligence, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Joke I Roodnat
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
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Verbesey J, Thomas AG, Ronin M, Beaumont J, Waterman A, Segev DL, Flechner SM, Cooper M. Early graft losses in paired kidney exchange: Experience from 10 years of the National Kidney Registry. Am J Transplant 2020; 20:1393-1401. [PMID: 31922651 PMCID: PMC7183872 DOI: 10.1111/ajt.15778] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 12/03/2019] [Accepted: 12/30/2019] [Indexed: 01/25/2023]
Abstract
Cooperative kidney paired donation (KPD) networks account for an increasing proportion of all living donor kidney transplants in the United States. There are sparse data on the rate of primary nonfunction (PNF) losses and their consequences within KPD networks. We studied National Kidney Registry (NKR) transplants (February 14, 2009 to December 31, 2017) and quantified PNF, graft loss within 30 days of transplantation, and graft losses in the first-year posttransplant and assessed potential risk factors. Of 2364 transplants, there were 38 grafts (1.6%) lost within the first year, 13 (0.5%) with PNF. When compared to functioning grafts, there were no clinically significant differences in blood type compatibility, degree of HLA mismatch, number of veins/arteries, cold ischemia, and travel times. Of 13 PNF cases, 2 were due to early venous thrombosis, 2 to arterial thrombosis, and 2 to failure of desensitization and development of antibody-mediated rejection (AMR). Given the low rate of PNF, the NKR created a policy to allocate chain-end kidneys to recipients with PNF following event review and attributable to surgical issues of donor nephrectomy. It is expected that demonstration of low incidence of poor early graft outcomes and the presence of a "safety net" would further encourage program participation in national KPD.
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Affiliation(s)
| | - Alvin G. Thomas
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | | | - Amy Waterman
- Terasaki Research Institute, Los Angeles, CA
- Department of Nephrology, University of California, Los Angeles, CA
| | - Dorry L. Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD
- Scientific Registry of Transplant Recipients, Minnesota, MN
| | - Stuart M. Flechner
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
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Bray M, Wang W, Rees MA, Song PXK, Leichtman AB, Ashby VB, Kalbfleisch JD. KPDGUI: An interactive application for optimization and management of a virtual kidney paired donation program. Comput Biol Med 2019; 108:345-353. [PMID: 31054501 DOI: 10.1016/j.compbiomed.2019.03.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 03/11/2019] [Accepted: 03/12/2019] [Indexed: 01/10/2023]
Abstract
BACKGROUND AND OBJECTIVES The aim in kidney paired donation (KPD) is typically to maximize the number of transplants achieved through the exchange of donors in a pool comprising incompatible donor-candidate pairs and non-directed (or altruistic) donors. With many possible options in a KPD pool at any given time, the most appropriate set of exchanges cannot be determined by simple inspection. In practice, computer algorithms are used to determine the optimal set of exchanges to pursue. Here, we present our software application, KPDGUI (Kidney Paired Donation Graphical User Interface), for management and optimization of KPD programs. METHODS While proprietary software platforms for managing KPD programs exist to provide solutions to the standard KPD problem, our application implements newly investigated optimization criteria that account for uncertainty regarding the viability of selected transplants and arrange for fallback options in cases where potential exchanges cannot proceed, with intuitive resources for visualizing alternative optimization solutions. RESULTS We illustrate the advantage of accounting for uncertainty and arranging for fallback options in KPD using our application through a case study involving real data from a paired donation program, comparing solutions produced under different optimization criteria and algorithmic priorities. CONCLUSIONS KPDGUI is a flexible and powerful tool for offering decision support to clinicians and researchers on possible KPD transplant options to pursue under different user-specified optimization schemes.
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Affiliation(s)
- Mathieu Bray
- University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.
| | - Wen Wang
- University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA
| | - Michael A Rees
- University of Toledo Medical Center, Department of Urology, Toledo, OH, USA; Alliance for Paired Donation, Inc., Maumee, OH, USA
| | - Peter X-K Song
- University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA
| | | | - Valarie B Ashby
- University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA
| | - John D Kalbfleisch
- University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA
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Stepkowski SM, Mierzejewska B, Fumo D, Bekbolsynov D, Khuder S, Baum CE, Brunner RJ, Kopke JE, Rees SE, Smith C, Ashlagi I, Roth AE, Rees MA. The 6-year clinical outcomes for patients registered in a multiregional United States Kidney Paired Donation program - a retrospective study. Transpl Int 2019; 32:839-853. [PMID: 30848501 DOI: 10.1111/tri.13423] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 12/11/2018] [Accepted: 03/04/2019] [Indexed: 01/10/2023]
Abstract
We examined what happened during a 6-year period to 1121 end-stage renal disease patients who registered with their willing/incompatible living donors for kidney exchanges with the Alliance for Paired Donation (APD). Of all patients, 65% were transplanted: 37% in kidney paired donation (APD-KPD, APD-other-KPD); 10% with compatible live donors (APD-LD); and 18% with deceased donors (APD-DD). The remaining patients were withdrawn (sick/died/others; 15%), or were still waiting (20%). For those patients with a cPRA 0-94%, 72% received a transplant. In contrast, only 49% of very highly sensitized (VHS; cPRA 95-100%) were transplanted. Of the VHS patients, 50% were transplanted by KPD/APD-LD while 50% benefited through prioritization of deceased donors in the modified kidney allocation system (KAS introduced in 2014). All APD transplanted groups had similar death-censored 4-year graft survivals as their relevant Organ Procurement and Transplantation Network (OPTN) groups. It is noteworthy that VHS graft and patient survival results were comparable to less sensitized and nonsensitized patients. All patients should be encouraged to search for compatible donors through different options. Expanding the donor pool through KPD and the new KAS of the OPTN increases the likelihood of transplantation for VHS patients.
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Affiliation(s)
- Stanislaw M Stepkowski
- Department of Medical Microbiology and Immunology, University of Toledo Medical Center, Toledo, OH, USA.,The Alliance for Paired Donation, Maumee, OH, USA
| | - Beata Mierzejewska
- The Alliance for Paired Donation, Maumee, OH, USA.,Department of Urology, University of Toledo Medical Center, Toledo, OH, USA
| | - David Fumo
- Department of Urology, University of Toledo Medical Center, Toledo, OH, USA
| | - Dulat Bekbolsynov
- Department of Medical Microbiology and Immunology, University of Toledo Medical Center, Toledo, OH, USA
| | - Sadik Khuder
- Department of Medical Microbiology and Immunology, University of Toledo Medical Center, Toledo, OH, USA
| | - Caitlin E Baum
- Department of Medical Microbiology and Immunology, University of Toledo Medical Center, Toledo, OH, USA
| | - Robert J Brunner
- Department of Urology, University of Toledo Medical Center, Toledo, OH, USA
| | | | - Susan E Rees
- The Alliance for Paired Donation, Maumee, OH, USA
| | - Connie Smith
- The Alliance for Paired Donation, Maumee, OH, USA
| | - Itai Ashlagi
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| | - Alvin E Roth
- Department of Economics, Stanford University, Stanford, CA, USA
| | - Michael A Rees
- Department of Medical Microbiology and Immunology, University of Toledo Medical Center, Toledo, OH, USA.,The Alliance for Paired Donation, Maumee, OH, USA.,Department of Urology, University of Toledo Medical Center, Toledo, OH, USA
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