# Acute Kidney Injury Post-Liver Transplant Using Grafts Treated with Hypothermic Machine Perfusion: From Biology to Surgical Aspects

**Authors:** Irene Scalera, Grazia Labellarte, Oronzo Ligurgo, Francesco D’Amico, Gianluigi Gigante, Stefania Roselli, Maria Filippa Valentini, Rossana Franzin, Alessandra Stasi, Loreto Gesualdo, Francesco Tandoi

PMC · DOI: 10.3390/ijms27031235 · International Journal of Molecular Sciences · 2026-01-26

## TL;DR

This study compares kidney injury after liver transplants using machine-perfused grafts versus traditional methods, finding similar outcomes and identifying risk factors.

## Contribution

The study demonstrates that machine perfusion does not increase acute kidney injury risk in liver transplant recipients compared to conventional preservation.

## Key findings

- AKI rates were similar between MP-treated and SCS graft groups before and after propensity score matching.
- Donor diabetes and recipient age were independent predictors of AKI after liver transplantation.
- MCP-1 and TNF-α levels in perfusate correlated with post-LT kidney function decline.

## Abstract

Many advantages have been reported with the use of machine perfusion (MP) to rescue extended criteria donor (ECD) grafts, improving both short- and long-term post-liver transplantation (LT) outcomes. Acute kidney injury (AKI) is a common post-LT complication associated with these grafts and may compromise patient outcomes and increase LT-related costs. The aim of the study was to analyze the incidence of AKI in recipients of MP-treated grafts compared with those receiving conventionally cold-stored (SCS) grafts, both before and after a propensity score matching (PSM). From a prospectively maintained database, LT recipients of MP-treated grafts were compared with SCS grafts transplanted in the same study period (January 2022–May 2025). PSM was performed based on donor risk index (DRI), macrosteatosis (≥ or <30%), and recipient NaMELD score using a 3:1 (MP vs. SCS) ratio. Of the 177 consecutive LTs, 30 were performed with MP-treated grafts (MP group) and 147 using SCS (SCS group). The MP group displayed more marginal characteristics: older age (72 vs. 62 years, p = 0.02), higher proportion of DCD (10% vs. 0, p = 0.04), and higher frequency of moderate steatosis (macro ≥ 30%, 10% vs. 2.7%, p = 0.09). AKI rates were similar between groups (63% vs. 45.6%, p = 0.16), as was the distribution across AKI stages. After PSM, donor and recipient characteristics were balanced, and AKI rates remained similar between groups (58.6% vs. 47.1%, p = 0.39). Donor diabetes and recipient age were independent predictors of AKI in multivariate analysis (donor diabetes OR 3.29, 95% CI 1.347–8.030; recipient age: OR 1.06, 95% CI 1.015–1.097, both p < 0.05). MCP-1 and TNF-α levels measured in the perfusate fluid within the first minutes of perfusion were positively correlated with post-LT creatinine peak (MCP-1, p = 0.00023, R = 0.58; TNF-α, p = 0.0004, R = 0.57). In conclusion, machine perfusion remains a valuable strategy for rescuing ECD liver grafts. In the current era—characterized by increasing use of machine-perfused grafts and extended criteria donors—recipients demonstrate postoperative renal outcomes comparable to those receiving conventionally preserved grafts.

## Linked entities

- **Proteins:** CCL2 (C-C motif chemokine ligand 2), TNF (tumor necrosis factor)
- **Diseases:** acute kidney injury (MONDO:0002492)

## Full-text entities

- **Genes:** CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}
- **Diseases:** AKI (MESH:D058186), steatosis (MESH:D005234), diabetes (MESH:D003920)
- **Chemicals:** creatinine (MESH:D003404)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12897803/full.md

## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC12897803/full.md

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Source: https://tomesphere.com/paper/PMC12897803