ArticleTransplantation direct2025
Dynamic Lactate Clearance Patterns During Normothermic Machine Perfusion Predict Posttransplant Biliary Complications in Donation After Circulatory Death Liver Transplantation.
Article in Transplantation direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Navigating Uncertainty: Characterizing Rebound Lactic Acidosis in Pediatric Normothermic Machine Perfusion.Pediatric transplantation · 2026Article
- Re-Evaluating Donor-Recipient Risk Scores in the Machine Perfusion Era Using a Large Multicenter Cohort: Do Traditional Predictive Models Still Apply?Clinical transplantation · 2026Article
- A clinically deployed dual-compartment biochemical monitoring platform for human liver perfusion.Nature communications · 2026Article
- Intraoperative blood loss as a predictor of outcomes in liver transplantation: determining optimal cutoff values for improved graft survival.Langenbeck's archives of surgery · 2025Observational
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Normothermic machine perfusion (NMP) enables real-time assessment of liver graft viability through various biomarkers. Although lactate clearance during NMP has been associated with graft outcomes, its dynamic patterns and relationship with posttransplant biliary complications (PTBCs) remain poorly understood. We sought to evaluate whether dynamic lactate clearance patterns during NMP could predict PTBCs in both donations after circulatory death (DCD) and brain death (DBD) liver transplantation (LT). Methods: We conducted a single-center retrospective study of 140 LT recipients (88 DCDs, 52 DBDs) undergoing NMP (2022-2024). K-means clustering analysis was applied to lactate clearance patterns during the first 3 h of NMP. The primary outcome was PTBCs. Multivariate logistic regression analysis was used to identify independent predictors for PTBC. Results: K-means clustering revealed 3 distinct patterns: consistently low (cluster A), rapid clearance (cluster B), and prolonged elevation (cluster C). DCD grafts demonstrated more pronounced differences in lactate clearance and higher rates of persistent elevation than DBD grafts. For DCD grafts, the distribution was cluster A (26.1%, n = 23), cluster B (37.5%, n = 33), and cluster C (36.4%, n = 32), whereas DBD grafts showed cluster A (55.8%, n = 29), cluster B (17.3%, n = 9), and cluster C (26.9%, n = 14). In DCD grafts, PTBC rates were significantly higher in cluster C (37.5%) than in clusters A (13.0%, Conclusions: Dynamic lactate clearance patterns during NMP predict PTBCs in DCD LT. This novel approach may enable more precise risk stratification and guide posttransplant surveillance strategies for DCD grafts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.