The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
New National Allocation Policy for Deceased Donor Kidneys in the United States and Possible Effect on Patient Outcomes
Open accessAbstract
In 2013, the Organ Procurement and Transplantation Network in the United States approved a new national deceased donor kidney allocation policy that introduces the kidney donor profile index (KDPI), which gives scores of 0%-100% based on 10 donor factors. Kidneys with lower KDPI scores are associated with better post-transplant survival. Important features of the new policy include first allocating kidneys from donors with a KDPI≤20% to candidates in the top 20th percentile of estimated post-transplant survival, adding waiting time from dialysis initiation, conferring priority points for a calculated panel-reactive antibody (CPRA)>19%, broader sharing of kidneys for candidates with a CPRA≥99%, broader sharing of kidneys from donors with a KDPI>85%, eliminating the payback system, and allocating blood type A2 and A2B kidneys to blood type B candidates. We simulated the distribution of kidneys under the new policy compared with the current allocation policy. The simulation showed increases in projected median allograft years of life with the new policy (9.07 years) compared with the current policy (8.82 years). With the new policy, candidates with a CPRA>20%, with blood type B, and aged 18-49 years were more likely to undergo transplant, but transplants declined in candidates aged 50-64 years (4.1% decline) and ≥65 years (2.7% decline). These simulations demonstrate that the new deceased donor kidney allocation policy may improve overall post-transplant survival and access for highly sensitized candidates, with minimal effects on access to transplant by race/ethnicity and declines in kidney allocation for candidates aged ≥50 years.
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Cites
A Comprehensive Risk Quantification Score for Deceased Donor Kidneys: The Kidney Donor Risk Index
Rao, P. S., Schaubel, D. E., Guidinger, M. K., Andreoni, K. A., Wolfe, R. A., Merion, R. M., Port, F. K., & Sung, R. S. (2009) · Transplantation · doi:10.1097/tp.0b013e3181ac620b · Cited by 1,079
Barriers to Cadaveric Renal Transplantation Among Blacks, Women, and the Poor
Alexander, G. C. (1998) · JAMA · doi:10.1001/jama.280.13.1148 · Cited by 468
OPTN/SRTR 2011 Annual Data Report: Kidney
Matas, A. J., Smith, J. M., Skeans, M. A., Lamb, K. E., Gustafson, S. K., Samana, C. J., Stewart, D. E., Snyder, J. J., Israni, A. K., & Kasiske, B. L. (2013) · American Journal of Transplantation · doi:10.1111/ajt.12019 · Cited by 308
Self-citationLeppke, S., Leighton, T., Zaun, D., Chen, S.-C., Skeans, M., Israni, A. K., Snyder, J. J., & Kasiske, B. L. (2013) · Transplantation Reviews · doi:10.1016/j.trre.2013.01.002 · Cited by 307
Self-citationRace and socioeconomic factors influencing early placement on the kidney transplant waiting list.
Kasiske, B. L., London, W., & Ellison, M. D. (1998) · Journal of the American Society of Nephrology · doi:10.1681/asn.v9112142 · Cited by 205
Self-citationA typology of non‐adherence in pediatric renal transplant recipients
Shaw, R. J., Palmer, L., Blasey, C. M., & Sarwal, M. (2003) · Pediatric Transplantation · doi:10.1046/j.1397-3142.2003.00117.x · Cited by 138
Kidney, Pancreas and Liver Allocation and Distribution in the United States
Smith, J. M., Biggins, S. W., Haselby, D., Kim, W. R., Wedd, J. P., Lamb, K. E., Thompson, B., Segev, D. L., Gustafson, S. K., Kandaswamy, R., et al. (2012) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2012.04259.x · Cited by 114
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External validation of prognostic models: what, why, how, when and where?
Ramspek, C. L., Jager, K. J., Dekker, F. W., Zoccali, C., & van Diepen, M. (2021) · Clinical Kidney Journal · doi:10.1093/ckj/sfaa188 · Cited by 887
Estrada, J. L., Martens, G., Li, P., Adams, A., Newell, K. A., Ford, M. L., Butler, J. R., Sidner, R., Tector, M., & Tector, J. (2015) · Xenotransplantation · doi:10.1111/xen.12161 · Cited by 417
Therapeutic Hypothermia in Deceased Organ Donors and Kidney-Graft Function
Niemann, C. U., Feiner, J., Swain, S., Bunting, S., Friedman, M., Crutchfield, M., Broglio, K., Hirose, R., Roberts, J. P., & Malinoski, D. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1501969 · Cited by 281
Improving the Supply and Quality of Deceased-Donor Organs for Transplantation
Tullius, S. G., & Rabb, H. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1507080 · Cited by 173
Effect of Replacing Race With Apolipoprotein L1 Genotype in Calculation of Kidney Donor Risk Index
Julian, B. A., Gaston, R. S., Brown, W. M., Reeves-Daniel, A. M., Israni, A. K., Schladt, D. P., Pastan, S. O., Mohan, S., Freedman, B. I., & Divers, J. (2017) · American Journal of Transplantation · doi:10.1111/ajt.14113 · Cited by 69
“This system, implemented in the United States in December 2014, is based on application of objective metrics to define individual donor quality that can be linked to recipient need and projected outcomes (1-5).”
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Metadata
- Authors
- Israni, A. K., Salkowski, N., Gustafson, S., Snyder, J. J., Friedewald, J. J., Formica, R. N., Wang, X., Shteyn, E., Cherikh, W., Stewart, D., Samana, C. J., Chung, A., Hart, A., & Kasiske, B. L.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2014-08
- Volume
- 25
- Issue
- 8
- Pages
- 1842-1848
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2139972161
- Cited by
- 411
- References
- 7
- FWCI
- 40.14
- Type
- journal article
- Language
- en
- Open access
- green
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- Israni, A. K., Salkowski, N., Gustafson, S., Snyder, J. J., Friedewald, J. J., Formica, R. N., Wang, X., Shteyn, E., Cherikh, W., Stewart, D., Samana, C. J., Chung, A., Hart, A., & Kasiske, B. L. (2014). New National Allocation Policy for Deceased Donor Kidneys in the United States and Possible Effect on Patient Outcomes. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2013070784
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
