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Predicting Early Graft Dysfunction and Mortality After Liver Transplant Using the De Ritis Ratio
Elizabeth M Shin1, Lauren Westhaver2, Sarah Nersesian3
1Department of Surgery, Dalhousie University, Halifax, Nova Scotia, Canada.
Transplantation Proceedings
|March 27, 2023
Summary
Predicting liver transplant complications is improved by incorporating the De Ritis ratio (DRR). This new scoring model aids in forecasting early allograft dysfunction (EAD) and patient mortality post-transplant.
Area of Science:
- Hepatology
- Transplantation Surgery
- Medical Informatics
Background:
- Predicting post-liver transplantation (LT) complications, including early allograft dysfunction (EAD) and mortality, remains a significant clinical challenge.
- Current predictive models often lack comprehensive assessment of key indicators of liver dysfunction.
Purpose of the Study:
- To evaluate the utility of the De Ritis ratio (DRR), a marker of liver dysfunction, in predicting EAD and mortality after LT.
- To incorporate DRR into existing or novel scoring systems for enhanced predictive accuracy.
Main Methods:
- A retrospective chart review of 132 adult deceased donor LT recipients and their donors was performed.
- Donor characteristics, postoperative liver function, and DRR were analyzed for correlation with EAD, Clavien-Dindo scores (post-transplant complications), and 30-day mortality.
Main Results:
- EAD occurred in 26.5% of patients, and 30-day mortality was 7.6%.
- Factors associated with EAD included donation after circulatory death, high donor risk index (DRI), ischemic injury, and prolonged warm ischemia time.
- The developed Gala-Lopez score, integrating DRI, bilirubin, and DRR on postoperative day 5, accurately predicted EAD (75%), high Clavien-Dindo scores (81%), and 30-day mortality (64%).
Conclusions:
- The De Ritis ratio (DRR) should be considered as a vital component in predictive models for EAD, severe complications, and 30-day mortality post-LT.
- Further research is necessary to validate these findings and assess their applicability with emerging perfusion technologies.

