Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Combined Score Based on Match between Donor and Recipient in Age-Sex-Body Mass Index Is Related to the Evolution of the Graft after Renal Transplantation

Version 1 : Received: 18 October 2023 / Approved: 19 October 2023 / Online: 20 October 2023 (08:14:44 CEST)

How to cite: Hernández, S.B.; López, Á.Á.; Calvo, E.G.D.V.; Sabillón, J.A.R.; Rúa, T.D.J.G.; Gallego, R.H.; Merino, J.H.; Mauricio, M.N.P.; Pérez-Monteoliva, N.R.R. Combined Score Based on Match between Donor and Recipient in Age-Sex-Body Mass Index Is Related to the Evolution of the Graft after Renal Transplantation. Preprints 2023, 2023101239. https://doi.org/10.20944/preprints202310.1239.v1 Hernández, S.B.; López, Á.Á.; Calvo, E.G.D.V.; Sabillón, J.A.R.; Rúa, T.D.J.G.; Gallego, R.H.; Merino, J.H.; Mauricio, M.N.P.; Pérez-Monteoliva, N.R.R. Combined Score Based on Match between Donor and Recipient in Age-Sex-Body Mass Index Is Related to the Evolution of the Graft after Renal Transplantation. Preprints 2023, 2023101239. https://doi.org/10.20944/preprints202310.1239.v1

Abstract

Objetives: Adequate donor-recipient matching is necessary to achieve the best renal function after transplantation. The nephron load received from the donor, which can be reflected in variables such as age, sex and body mass index, may influence the evolution of the graft. Our objetive was develop a combined score according to the donor-recipient pairing in age, sex and body mass index, and assess its influence on the evolution of the renal graft. Materials and methods: Transplant patients between 2013 and 2020 who had at least 1 year of post-transplant follow-up. A ranking of 0 to 2 points was awarded according to the match between donor and recipient for sex, age and body mass index individually, with higher rank to greater mismatch. Subsequently, a Score with value of 0 to 6 points was created with the combined ranking of the indivudual variables, analyzing its influence on the evolution of the graft by multivariate linear regression. Results: 280 patients followed for 4.3 years of median. Worse renal function was observed at the end of follow-up as the range of each variable increased separately, and the Score created, with a worsening of renal function as the combined Score increased in the multivariate analysis: Coefficient B= -2.4 ml/min, p=0.018. Conclusions: An adequate match between donor and recipient in age, sex and body mass index using this combined Score can help achieve better kidney function after transplantation.

Keywords

Renal transplantation; donor-recipient matching; matching non-HLA; matching in age, gender and body mass index; renal graft outcome.

Subject

Medicine and Pharmacology, Transplantation

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