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Editorial
. 2022 Nov;22(11):2497-2498.
doi: 10.1111/ajt.17163. Epub 2022 Aug 8.

Gene expression profiling using deceased donor kidney biopsies to predict graft outcomes-We are not there yet

Ilkka Helanterä  1 , Gillian Divard  2
Affiliations
Free article
Editorial

Gene expression profiling using deceased donor kidney biopsies to predict graft outcomes-We are not there yet

Ilkka Helanterä et al. Am J Transplant. 2022 Nov.
Free article
No abstract available

Keywords: basic (laboratory) research/science; editorial/personal viewpoint; genetics; genomics; immunobiology; kidney (allograft) function/dysfunction; kidney transplantation/nephrology; molecular biology.

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References

REFERENCES

    1. Loupy A, Aubert O, Orandi BJ, et al. Prediction system for risk of allograft loss in patients receiving kidney transplants: international derivation and validation study. BMJ. 2019;366:l4923.
    1. Bae S, Massie AB, Luo X, Anjum S, Desai NM, Segev DL. Changes in discard rate after the introduction of the kidney donor profile index (KDPI). Am J Transplant. 2016;16(7):2202-2207.
    1. Archer K, Bardhi E, Maluf D, et al. Pretransplant transcriptome captures intrinsic donor organ quality and predicts 24-month outcomes. Am J Transplant. 2022; in press. https://doi.org/10.1111/ajt.17127
    1. Raynaud M, Aubert O, Reese PP, et al. Trajectories of glomerular filtration rate and progression to end stage kidney disease after kidney transplantation. Kidney Int. 2021;99(1):186-197.
    1. Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med. 2015;162(1):55-63.