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Pre-transplant T-cell Clonality: An Observational Study of a Biomarker for Prediction of Sepsis in Liver Transplant Recipients.

Authors :
Jones SL
Moore LW
Li XC
Mobley CM
Fields PA
Graviss EA
Nguyen DT
Nolte Fong J
Saharia A
Hobeika MJ
McMillan RR
Victor DW 3rd
Minze LJ
Gaber AO
Ghobrial RM
Source :
Annals of surgery [Ann Surg] 2021 Sep 01; Vol. 274 (3), pp. 411-418.
Publication Year :
2021

Abstract

Objective: This study investigated the ability of pre-transplant T-cell clonality to predict sepsis after liver transplant (LT).<br />Summary Background Data: Sepsis is a leading cause of death in LT recipients. Currently, no biomarkers predict sepsis before clinical symptom manifestation.<br />Methods: Between December 2013 and March 2018, our institution performed 478 LTs. After exclusions (eg, patients with marginal donor livers, autoimmune disorders, nonabdominal multi-organ, and liver retransplantations), 180 consecutive LT were enrolled. T-cell characterization was assessed within 48 hours before LT (immunoSEQ Assay, Adaptive Biotechnologies, Seattle, WA). Sepsis-2 and Sepsis-3 cases, defined by presence of acute infection plus ≥2 SIRS criteria, or clinical documentation of sepsis, were identified by chart review. Receiver-operating characteristic analyses determined optimal T-cell repertoire clonality for predicting post-LT sepsis. Kaplan-Meier and Cox proportional hazard modeling assessed outcome-associated prognostic variables.<br />Results: Patients with baseline T-cell repertoire clonality ≥0.072 were 3.82 (1.25, 11.40; P = 0.02), and 2.40 (1.00, 5.75; P = 0.049) times more likely to develop sepsis 3 and 12 months post-LT, respectively, when compared to recipients with lower (<0.072) clonality. T-cell repertoire clonality was the only predictor of sepsis 3 months post-LT in multivariate analysis (C-Statistic, 0.75). Adequate treatment resulted in equivalent survival rates between both groups: (93.4% vs 96.2%, respectively, P = 0.41) at 12 months post-LT.<br />Conclusions: T-cell repertoire clonality is a novel biomarker predictor of sepsis before development of clinical symptoms. Early sepsis monitoring and management may reduce post-LT mortality. These findings have implications for developing sepsis-prevention protocols in transplantation and potentially other populations.<br />Competing Interests: The authors report no conflicts of interest.<br /> (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.)

Details

Language :
English
ISSN :
1528-1140
Volume :
274
Issue :
3
Database :
MEDLINE
Journal :
Annals of surgery
Publication Type :
Academic Journal
Accession number :
34132702
Full Text :
https://doi.org/10.1097/SLA.0000000000004998