Identification and Internal Validation of a Novel Pre-Transplant Biomarker Panel to Predict Mortality Following Liver Transplantation: The Liver Immune Frailty Index

Author:

Panayotova Guergana G.1,Simonishvili Sopio1,Nguyen Duc T.2,Graviss Edward A.2,Aware Nikita3,Manner Carl J.3,Minze Laurie J.3,Ayorinde Tumininu1,Qin Yong1,Jin Lianhua1,Moore Linda3,Paterno Flavio1,Saharia Ashish3,Mobley Constance M.3,Amin Arpit1,Hobeika Mark J.3,Pyrsopoulos Nikolaos4,Li Xian C.3,Guarrera James V.1,Ghobrial R. Mark3,Lunsford Keri E.5

Affiliation:

1. Division of Liver Transplant and HPB Surgery, Department of Surgery, Rutgers New Jersey Medical School, Newark, NJ

2. Department of Pathology and Genomic Medicine, Houston Methodist Hospital and Research Institute, Houston, TX

3. Sherrie and Alan Conover Center for Liver Disease and Transplantation, J.C. Walter Jr. Center for Transplantation, Houston Methodist Hospital, Houston, TX

4. Division of Gastroenterology and Hepatology, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ

5. Division of Liver Transplant and HPB Surgery, Department of Surgery, Rutgers New Jersey Medical School, Newark, NJ and Center for Immunity and Inflammation, Institute for Infectious and Inflammatory Diseases, Rutgers Biomedical and Health Sciences, Newark, NJ

Abstract

Abstract Cirrhosis-related immune dysfunction is well recognized and may contribute to early mortality following liver transplant (LT). The purpose of the present study was to identify pre-transplant biomarkers of immune dysfunction (i.e., immune frailty) that might accurately predict risk of early mortality following LT. Patient plasma was collected immediately prior to LT (T0) and analyzed via Luminex (N = 279). On multivariate analysis, HCV IgG, Fractalkine, and MMP3 were significant predictors of 1 year post-LT mortality and were utilized to comprise a novel Liver Immune Frailty Index (LIFI). The LIFI stratifies LT recipients into -low, -moderate, and –high risk tertiles. One year mortality was 1.5% for LIFI-low, 13.2% for LIFI-moderate, and 63.3% for LIFI-high. Internal validation through bootstrap resampling with 2000 replicates demonstrated the final LIFI model predicts early post-LT mortality with C-statistic = 0.84. This novel index may identify patients at risk for persistent severe immune dysfunction and early mortality following LT.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

New Jersey Health Foundation

American Society of Transplant Surgeons

Publisher

Research Square Platform LLC

Reference76 articles.

1. Mortality due to cirrhosis and liver cancer in the United States, 1999–2016: observational study;Tapper EB;BMJ,2018

2. Wilde, B. & Katsounas, A. Immune Dysfunction and Albumin-Related Immunity in Liver Cirrhosis. Mediators Inflamm 2019, 7537649 (2019).

3. Kwong, A., et al. OPTN/SRTR 2018 Annual Data Report: Liver. Am J Transplant 20 Suppl s1, 193–299 (2020).

4. Model for end-stage liver disease (MELD) and allocation of donor livers;Wiesner R;Gastroenterology,2003

5. The new liver allocation system: moving toward evidence-based transplantation policy;Freeman RB;Liver Transpl,2002

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3