Journal article
Refining the Liver Donor Risk Index with Machine Perfusion: A Bayesian Approach
Clinical and translational gastroenterology, Vol.17(1), e00921
01/2026
DOI: 10.14309/ctg.0000000000000921
PMCID: PMC12818854
PMID: 41020512
Abstract
Background:
The Donor Risk Index (DRI) is a widely used liver transplant allograft risk model but does not account for the increasing adoption of Machine Perfusion (MP).
Methods:
Using Bayesian updating, we incorporated MP into the DRI framework (DRI-MP). A Bayesian proportional hazards model with informative priors derived from the original DRI was applied to OPTN data from January 2022 to June 2024. Model performance was assessed using Harrell’s Concordance (C)-statistic, calibration plots, and Brier scores.
Results:
DRI-MP, defined as DRI × 0.7 for MP cases, improved 90-day graft survival discrimination (Harrell’s C-statistic: = 0.546 vs. 0.535, p = 0.040), while maintaining robust calibration.
Conclusion:
The Bayesian-updated DRI-MP modestly improves donor risk discrimination, reflecting contemporary transplant practice and providing an implementable tool with continuity from the original DRI.
Details
- Title: Subtitle
- Refining the Liver Donor Risk Index with Machine Perfusion: A Bayesian Approach
- Creators
- Tomohiro Tanaka - Department of Health Management and Policy, College of Public Health, University of Iowa, Iowa City, IADaniel Sewell - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Clinical and translational gastroenterology, Vol.17(1), e00921
- DOI
- 10.14309/ctg.0000000000000921
- PMID
- 41020512
- PMCID
- PMC12818854
- NLM abbreviation
- Clin Transl Gastroenterol
- ISSN
- 2155-384X
- eISSN
- 2155-384X
- Publisher
- Wolters Kluwer Health; PHILADELPHIA
- Grant note
- AHRQ Mentored Clinical Scientist Research Career Development Award: K08, K08HS029195-01A1
Tomohiro Tanaka is supported by AHRQ Mentored Clinical Scientist Research Career Development Award (K08): K08HS029195-01A1.
- Language
- English
- Electronic publication date
- 09/29/2025
- Date published
- 01/2026
- Academic Unit
- Health Management and Policy; Gastroenterology and Hepatology; Biostatistics; Internal Medicine
- Record Identifier
- 9984966799702771
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