Perfusion Techniques in Kidney Allograft Preservation to Reduce Ischemic Reperfusion Injury: A Systematic Review and Meta-Analysis.
Bima J HasjimJes M SandersMichael AlexanderRobert R RedfieldHirohito IchiiPublished in: Antioxidants (Basel, Switzerland) (2024)
The limited supply and rising demand for kidney transplantation has led to the use of allografts more susceptible to ischemic reperfusion injury (IRI) and oxidative stress to expand the donor pool. Organ preservation and procurement techniques, such as machine perfusion (MP) and normothermic regional perfusion (NRP), have been developed to preserve allograft function, though their long-term outcomes have been more challenging to investigate. We performed a systematic review and meta-analysis to examine the benefits of MP and NRP compared to traditional preservation techniques. PubMed (MEDLINE), Embase, Cochrane, and Scopus databases were queried, and of 13,794 articles identified, 54 manuscripts were included ( n = 41 MP; n = 13 NRP). MP decreased the rates of 12-month graft failure (OR 0.67; 95%CI 0.55, 0.80) and other perioperative outcomes such as delayed graft function (OR 0.65; 95%CI 0.54, 0.79), primary nonfunction (OR 0.63; 95%CI 0.44, 0.90), and hospital length of stay (15.5 days vs. 18.4 days) compared to static cold storage. NRP reduced the rates of acute rejection (OR 0.48; 95%CI 0.35, 0.67) compared to in situ perfusion. Overall, MP and NRP are effective techniques to mitigate IRI and play an important role in safely expanding the donor pool to satisfy the increasing demands of kidney transplantation.
Keyphrases
- kidney transplantation
- cerebral ischemia
- contrast enhanced
- oxidative stress
- acute myocardial infarction
- ischemia reperfusion injury
- healthcare
- magnetic resonance imaging
- liver failure
- cardiac surgery
- subarachnoid hemorrhage
- acute ischemic stroke
- type diabetes
- dna damage
- patients undergoing
- deep learning
- intensive care unit
- heart failure
- machine learning
- skeletal muscle
- coronary artery disease
- big data
- adipose tissue
- left ventricular
- artificial intelligence
- percutaneous coronary intervention
- endoplasmic reticulum stress