Development and Internal Validation of a Novel Pre-Transplant Biomarker Panel to Predict Post-Transplant Mortality in Liver Transplant Recipients

preprint OA: closed
View at publisher

Abstract

Abstract Background and Aims Current scoring systems accurately predict risk of pre-liver transplant (LT) mortality but fall short in estimation of post-LT survival. This study seeks to identify biomarkers of pre-LT immune dysfunction that predict mortality following LT. Methods From 10/1/13 − 3/23/21, 279 cirrhotic patients underwent assessment of plasma biomarker (Luminex) and clinical variables immediately prior to LT (T 0 ). Results Cox-proportional hazards modeling identified HCV IgG, Fractalkine, and MMP3 as multivariate predictors of 1-year mortality, with covariate selection by clinical importance and LASSO methodology. These were utilized to comprise the novel Liver Immune Frailty Index (LIFI), which stratifies recipients into -low, -moderate, and –high risk tertiles. One-year mortality was 1.4%, 12.7%, and 58.3% for LIFI-low, -moderate, and -high, respectively. Internal validation through bootstrap resampling with 2000 replicates demonstrates LIFI predicts early post-LT mortality with C-statistic = 0.84 and Brier score of 0.04. LIFI-high is not dependent upon HCV status. The relative contribution of the continuous variables in the LIFI calculation exceeded the discrete HCV IgG binary variable contribution. Stratification into either LIFI-high or moderate requires cumulative contribution of elevated MMP3 and Fractalkine levels. Excluding HCV IgG + as a covariate similarly stratifies patients at high-, moderate-, and low-risk of early futility after LT based only on MMP3 and Fractalkine levels (C-statistic 0.83). Conclusions LIFI may identify patients at risk for persistent severe immune dysfunction and early mortality following LT.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00