| Literature DB >> 24897036 |
Marion Chapal1, Florent Le Borgne2, Christophe Legendre3, Henri Kreis3, Georges Mourad4, Valérie Garrigue4, Emmanuel Morelon5, Fanny Buron5, Lionel Rostaing6, Nassim Kamar6, Michèle Kessler7, Marc Ladrière7, Jean-Paul Soulillou1, Katy Launay8, Pascal Daguin9, Lucile Offredo2, Magali Giral1, Yohann Foucher8.
Abstract
Delayed graft function (DGF) is a common complication in kidney transplantation and is known to be correlated with short- and long-term graft outcomes. Here we explored the possibility of developing a simple tool that could predict with good confidence the occurrence of DGF and could be helpful in current clinical practice. We built a score, tentatively called DGFS, from a French multicenter and prospective cohort of 1844 adult recipients of deceased donor kidneys collected since 2007, and computerized in the Données Informatisées et VAlidées en Transplantation databank. Only five explicative variables (cold ischemia time, donor age, donor serum creatinine, recipient body mass index, and induction therapy) contributed significantly to the DGF prediction. These were associated with a good predictive capacity (area under the ROC curve at 0.73). The DGFS calculation is facilitated by an application available on smartphones, tablets, or computers at www.divat.fr/en/online-calculators/dgfs. The DGFS should allow the simple classification of patients according to their DGF risk at the time of transplantation, and thus allow tailored-specific management or therapeutic strategies.Entities:
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Year: 2014 PMID: 24897036 DOI: 10.1038/ki.2014.188
Source DB: PubMed Journal: Kidney Int ISSN: 0085-2538 Impact factor: 10.612