Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/46536
Title: Renal resistance during hypothermic machine perfusion: A scoping review of variability and determinants, with a meta-analysis of predictive value for transplant outcomes
Authors: Buitrago, Liliana Fonseca
Verstraeten, Laurence
FIEUWS, Steffen 
Jochmans, Ina
Issue Date: 2025
Publisher: ELSEVIER SCIENCE INC
Source: Transplantation reviews, 39 (4) (Art N° 100956)
Abstract: Background: Renal resistance (RR) measured during hypothermic machine perfusion (HMP) is used to assess donor kidney quality and guide transplantation decisions. However, its clinical reliability and relationship with donor factors remain unclear. Methods: This scoping review and meta-analysis evaluate the variability, determinants, and predictive value of RR during HMP. A systematic search of PubMed, Embase, Web of Science, and Cochrane Library (July 2024) identified 49 primary studies reporting RR in perfused human kidneys. The risk of bias was assessed using the ROBINS-I tool. Meta-analyses for the predictive value of RR were performed when >= 3 studies reported univariable associations for the same time point and outcome. Results: Most studies had moderate to serious risk of bias. RR typically declined rapidly, stabilizing within 5 h (range: 0.30-3.50 to 0.17-1.50 mmHg/mL/min), but patterns varied widely. Determinants included histology, donor characteristics, and perfusion additives, though evidence was inconsistent. A meta-analysis showed terminal RR was significantly associated with delayed graft function (odds ratio 2.49, 95 % CI 1.49-4.18, I2 = 58 %). While several studies proposed RR-thresholds, none were consistently validated, and heterogeneity in measurement timings and device settings limits comparability. Conclusion: RR shows potential as a functional assessment parameter during HMP but is influenced by multiple technical and biological factors. Current evidence does not support the use of isolated RR-thresholds for organ acceptance. Standardized HMP protocols, trajectory modeling, and prospective studies are needed to clarify RR's role in clinical decision-making.
Notes: Jochmans, I (corresponding author), UZ Leuven, Herestr 49, B-3000 Leuven, Belgium.
ina.jochmans@kuleuven.be
Keywords: Renal resistance;Machine perfusion;Kidney transplantation;Delayed graft functio;Meta-analysis;Scoping review
Document URI: http://hdl.handle.net/1942/46536
ISSN: 0955-470X
DOI: 10.1016/j.trre.2025.100956
ISI #: 001538666800001
Rights: 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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