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. 2022 Apr;223(4):804-811.
doi: 10.1016/j.amjsurg.2021.06.019. Epub 2021 Jul 6.

Machine perfusion of kidney allografts affects early but not late graft function

Navdeep Singh  1 , April Logan  2 , Austin Schenk  2 , Ginny Bumgardner  2 , Guy Brock  2 , Ashraf El-Hinnawi  2 , Amer Rajab  2 , Kenneth Washburn  2
Affiliations

Machine perfusion of kidney allografts affects early but not late graft function

Navdeep Singh et al. Am J Surg. 2022 Apr.

Abstract

Background: Hypothermic machine perfusion (HMP) parameters are influenced by donor variables which further affect recipient outcome. Interplay between these parameters can help to predict kidney performance on pump and the long term outcome.

Methods: All the kidneys transplanted at our center between May 2013 through November 2017 were included in the study. Donor and recipient data was obtained from internal database. Multiple logistic regression models with backward selection were used to determine significant donor and pump variables.

Results: Donor BMI, KDPI, age and donor sex had a significant association with pump flow. Donor sex, donor type, KDPI and age had significant effect on RI. Diastolic pressure and KDPI were significantly associated with DGF. Duration on pump, KDPI, flow, donor creatinine and type of donor were significantly associated with day 5 creatinine. KDPI was significantly associated with Day 365 creatinine.

Conclusion: HMP effects early graft function while the long term function depends on donor parameters.

Keywords: Donor variables; Hypothermic machine perfusion; Pump variables.

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Conflict of interest statement

Declaration of competing interest

The Authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Predicted Probability Based on Logistic Regression for DGF and elevated Creatinine By Flow.
Fig. 2.
Fig. 2.
Predicted Probability Based on Logistic Regression for DGF and elevated Creatinine By Resistance.
Fig. 3.
Fig. 3.
Predicted Probability Based on Logistic Regression for DGF and elevated Creatinine By KDPI.
Diagram 1.
Diagram 1.
Statistical Analysis Plan.
See this image and copyright information in PMC

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