Pre-transplant Biomarkers of Immune Dysfunction Improve Risk Assessment of Post-transplant Mortality Compared With Conventional Clinical Risk Scores

Autor: J. Esli Medina-Morales, Guergana G. Panayotova, Duc T. Nguyen, Edward A. Graviss, Gagan S. Prakash, Jeffery A. Marsh, Sopio Simonishvili, Yash Shah, Tumininu Ayorinde, Yong Qin, Lianhua Jin, Theofano Zoumpou, Laurie J. Minze, Flavio Paterno, Arpit Amin, Grace Lee Riddle, R. Mark Ghobrial, James V. Guarrera, Keri E. Lunsford
Rok vydání: 2023
DOI: 10.21203/rs.3.rs-2548184/v1
Popis: Introduction: There is a critical need to accurately stratify liver transplant (LT) candidates' risk of post-LT mortality prior to LT to optimize patient selection and avoid futility. Here, we compare current pre-LT clinical risk scores with the recently developed Liver Immune Frailty Index (LIFI) for prediction of post-LT mortality. LIFI measures immune dysregulation based on pre-LT plasma HCV IgG, MMP3 and Fractalkine. LIFI accurately predicts post-LT mortality, with LIFI-low corresponding to 1.4% 1-year post-LT mortality compared with 58.3% for LIFI-high (C-statistic=0.85). Methods: LIFI was compared to MELD, MELD-Na, MELD 3.0, D-MELD, MELD-GRAIL, MELD-GRAIL-Na, UCLA-FRS, BAR, SOFT, P-SOFT, and LDRI scores on 289 listed patients (T0). Survival, hazard of early post-LT death, and discrimination power (C-statistic) were assessed (Stata v17). Results: LIFI showed superior discrimination (highest C-statistic) of post-LT mortality when compared to all other risk scores, irrespective of biologic MELD. On univariate analysis, the LIFI showed a significant correlation with mortality at 3- and 6-months, as well as 1-, 3-, and 5-years. No other pre-LT scoring system significantly correlated with post-LT mortality. On bivariate adjusted analysis, African American race and pre-LT cardiovascular disease were significantly associated with early- and long-term post-LT mortality (pConclusions: LIFI, which measures pre-LT biomarkers of immune dysfunction, more accurately predicts risk of post-LT futility compared with current clinical predictive models. Pre-LT assessment of immune dysregulation may be critical in predicting mortality after LT and may optimize selection of candidates with lowest risk of futile outcomes.
Databáze: OpenAIRE