Anatomical Variants in Renal Transplantation, Surgical Management, and Impact on Graft Functionality

Chronic kidney disease (CKD) is a priority problem due to its high prevalence. According to the modalities of renal replacement therapy, kidney transplantation (TR) offers to be the best alternative. TR presents multiple factors of dependence of success; among them is the management of the anatomical variants of the graft and the surgical decision on the basis of these. Therefore, the objective of this study is to determine the frequency of variants in the graft, its surgical management, and the impact on the functionality of the transplanted kidney.

This was an observational, retrospective study of patients in the renal transplant unit of the Siglo XXI National Medical Center from 2002-2016. The analysis begins in the description of the population doing bivariate analysis to establish relative risks. For variables with a central tendency, the parametric tests analysis of variance, Student t paired, and unpaired will be used. In the case of nominal variables, the proportion's difference will be estimated using the chi-square test, establishing significance when P is ≤ .05. SPSS 21 software was used.

There were a total of 773 patients, with 576 transplants from living donors and 197 from deceased donors. In the case of the artery, a greater number of variants is observed-27.8% being alive versus 17.3% of the variants found in deceased donors. For the renal vein, 12.7% of the kidneys were taken from living donor vs 6.1% from deceased donors. This required one more day of hospitalization (6 vs 7 days of single vs multiple vessels); likewise, increases in immediate post-transplant infections were 5% for single vessels vs 8% in the case of multiple variants.

The importance of knowing the anatomical variants prior to the TR allows them to plan the potential surgical maneuvers, decreasing the times aimed at improving the immediate functionality of the renal graft, while also considering the increase in hospital expenses due to the greater number of days of hospitalization.