Resistance Index Determination in the Pre and Post Kidney Transplantation Time Points in Graft Dysfunction Diagnosis

MicroRNAs as Potential Markers for Advantageous Perfusion in a Preclinical Donation after Cardiac Death Animal Model of Oxygenated Hypothermic Machine Perfusion (HOPE)

“…The data presented here are in accordance with those of other studies showing a constant decrease in RI and an increase in flow in both the HMPO 2 and HMPnoO 2 groups, with no significant difference between the two groups [23,24]. As we have reported previously, the perfusion parameters were not correlated with renal function [14][15][16].…”

“…Currently, renal flow rate and vascular resistance are the only accepted indicators of kidney viability during HMP [13][14][15]. A number of biochemical parameters and ischemic injury markers have been quantified in the renal effluent; however, they are not fully established, and their role in predicting kidney function in vivo is still controversial [13,16,17].…”

Pulsate Perfusion of Allografts

“…In a recent prospective study, Gomez et al compared vascular resistance detected with perfusion machine with post-transplant kidney resistance calculated on Doppler ultrasound without finding any statistical correlation. Additionally, authors did not find any statistical association between renal resistances and DGF (p = 0.58) [70]. Those unsatisfactory results can perhaps be explained by the multifactorial nature of DGF or PNF such as obesity, high blood pressure, diabetes mellitus or dyslipidaemia [70,71].…”

“…Additionally, authors did not find any statistical association between renal resistances and DGF (p = 0.58) [70]. Those unsatisfactory results can perhaps be explained by the multifactorial nature of DGF or PNF such as obesity, high blood pressure, diabetes mellitus or dyslipidaemia [70,71]. It is noteworthy that Guarrera et al assumed that poor perfusion parameters in grafts from donors without other risk factors for DGF should not be taken into count for graft discard [72].…”

“…The retrospective analysis of 6057 kidney transplants from the Organ Procurement and Transplantation Network (OPTN) partially downgraded the relevance of haemodynamical data emphasizing the risk of possible underutilization of grafts [50]. Although the literature stressed the role of haemodynamic data as an independent risk factor in multivariate analysis for DGF, the evidence to suggest its predictive capacity as a stand-alone parameter is scarce [70]. Jochmans et al demonstrated low sensitivity and positive predictive value (respectively, 17% and 40%) and acceptable specificity and negative predictive value (93% and 81%) [14].…”