ArticleProceedings of the National Academy of Sciences of the United States of America2019
Predicting kidney transplant outcomes with partial knowledge of HLA mismatch.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Predictors of Long-Term Kidney Transplant Survival: A Scoping Review.Health science reports · 2026Review
- Elevated tacrolimus exposure variability predicts transplant renal insufficiency.Frontiers in immunology · 2026Article
- HLA-DR Matching in Kidney Transplantation: Ethnic Disparities in Clinical Benefit and Policy Implications From a UK Registry Analysis.Clinical transplantation · 2026Article
- Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool.Renal failure · 2025Article
- Article
- Longitudinal non-targeted metabolomic profiling of urine samples for monitoring of kidney transplantation patients.Renal failure · 2024Article
- Clinical profile and outcome of kidney transplantation at Muhimbili National Hospital, Tanzania.BMC nephrology · 2024Article
- Graph-Based Imputation Methods and Their Applications to Single Donors and Families.Methods in molecular biology (Clifton, N.J.) · 2024Article
- hlaR: A rapid and reproducible tool to identify eplet mismatches between transplant donors and recipients.Human immunology · 2022Article
- Progress in kidney transplantation: The role for systems immunology.Frontiers in medicine · 2022Review
- The Accuracy of Sequence-Specific Oligonucleotide and Real-Time Polymerase Chain Reaction HLA Typing in Determining the Presence of Pre-Transplant Donor-Specific Anti-HLA Antibodies and Total Eplet Mismatches for Deceased Donor Kidney Transplantation.Frontiers in immunology · 2022Article
- Low Hydrophobic Mismatch Scores Calculated for HLA-A/B/DR/DQ Loci Improve Kidney Allograft Survival.Frontiers in immunology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
We consider prediction of graft survival when a kidney from a deceased donor is transplanted into a recipient, with a focus on the variation of survival with degree of human leukocyte antigen (HLA) mismatch. Previous studies have used data from the Scientific Registry of Transplant Recipients (SRTR) to predict survival conditional on partial characterization of HLA mismatch. Whereas earlier studies assumed proportional hazards models, we used nonparametric regression methods. These do not make the unrealistic assumption that relative risks are invariant as a function of time since transplant, and hence should be more accurate. To refine the predictions possible with partial knowledge of HLA mismatch, it has been suggested that HaploStats statistics on the frequencies of haplotypes within specified ethnic/national populations be used to impute complete HLA types. We counsel against this, showing that it cannot improve predictions on average and sometimes yields suboptimal transplant decisions. We show that the HaploStats frequency statistics are nevertheless useful when combined appropriately with the SRTR data. Analysis of the ecological inference problem shows that informative bounds on graft survival probabilities conditional on refined HLA typing are achievable by combining SRTR and HaploStats data with immunological knowledge of the relative effects of mismatch at different HLA loci.
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