figshare
Browse
AJN453076_de_Souza_Slides.pptx (719.51 kB)

PowerPoint Slides for: Trajectories and Predictors of Allograft Dysfunction after Renal Transplantation in Children

Download (719.51 kB)
figure
posted on 2016-11-30, 15:52 authored by de Souza V.C., Rabilloud M., Cochat P., Wagner M.B., Garcia C.D., Ranchin B., Iwaz J., Selistre L., Dubourg L.

Background: The survival rates of renal transplant children are indeed on the rise, but it is still important to ensure that there is optimal renal function in these children in all their future growing years. The number of functioning nephrons and the graft ability to adapt to an increasing demand during body growth seem to be the most important factors for long-term allograft function. This study examined the long-term change in the glomerular filtration rate in a pediatric kidney transplant cohort and the importance of the recipient and donor ages in predicting transplant outcome. Methods: Data on 67 renal transplant children who underwent 278 inulin-clearance measurements between 2000 and 2010 were examined. A longitudinal latent class model was used to identify renal function trajectories and classify the children. Results: This model identified 3 trajectories of renal allograft function after pediatric kidney transplantation: ‘low and decreasing', ‘moderate and stable', and ‘high and sharply decreasing'. The probability of belonging to the low and decreasing trajectory - that is, the poorer outcome - was lower in recipients of grafts from living versus deceased donor (adjusted OR (aOR) 0.02; p = 0.03). This probability increased with recipient age (aOR 1.20 per year of recipient ageing; p = 0.07) and donor-recipient age-difference (aOR 1.13 per additional year; p = 0.07). Conclusion: This study suggests that donation from living donors and from younger donors are favorable factors for long-term allograft function.

History

Usage metrics

    American Journal of Nephrology

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC