Relationship between updated MELD and prognosis in alcohol-associated hepatitis: Opportunities for more efficient trial design

Author:

Al-Karaghouli Mustafa1ORCID,Ventura-Cots Meritxell23,Wong Yu Jun1ORCID,Genesca Joan23,Bosques Francisco4,Brown Robert S.5,Mathurin Philippe6,Louvet Alexandre6,Shawcross Debbie7,Vargas Victor23,Verna Elizabeth C.8,Schnabl Bernd9,Caballeria Joan3,Shah Vijay J.10,Kamath Patrick S.10,Lucey Michael R.11,Garcia-Tsao Guadalupe1213,Bataller Ramon1415,Abraldes Juan G.1ORCID

Affiliation:

1. Division of Gastroenterology (Liver Unit). University of Alberta, Edmonton, Alberta, Canada

2. Liver Unit, Hospital Universitari Vall d’Hebron, Vall d’Hebron Research Institute (VHIR), Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain

3. Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain

4. Hospital Universitario Dr Jose E. Gonzalez, Servicio de Gastroenterologia, Universidad Autonoma de Nuevo Leon Monterrey, Mexico

5. Division of Gastroenterology and Hepatology, Weill Cornell Medical College, New York, New York, USA

6. University of Lille, Inserm, CHU Lille, U1286-INFINITI-Institute for Translational Research in Inflammation, Lille, France

7. Department of Inflammation Biology, Institute of Liver Studies, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King’s College, London, UK

8. Division of Digestive and Liver Diseases, Department of Medicine, Columbia College of Physicians and Surgeons, Columbia University Medical Center, New York, New York, USA

9. Medicine, University of California San Diego, La Jolla, California, USA

10. Mayo Clinic and Mayo Medical School, Rochester, Minnesota, USA

11. Division of Gastroenterology and Hepatology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA

12. Section of Digestive Diseases, Yale University, New Haven, Connecticut, USA

13. Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA

14. Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain

15. Liver Unit, Hospital Clínic, Barcelona, Spain

Abstract

Background: Alcohol-associated hepatitis (AH) is associated with significant mortality. Model for End-Stage Liver Disease (MELD) score is used to predict short-term mortality and aid in treatment decisions. MELD is frequently updated in the course of AH. However, once the most updated MELD is known, it is uncertain if previous ones still have prognostic value, which might be relevant for transplant allocation and trial design. We aimed to investigate the predictive performance of updated MELDs in a prospectively collected cohort of patients with AH by the InTeam consortium. Methods: Three hundred seven patients (with 859 MELD values within 60 d of admission) fulfilled the inclusion criteria. The main endpoint was time to death or transplant up to 90 days. We used a joint model approach to assess the predictive value of updated MELDs. Results: Updated MELD measurements had a strong prognostic value for death/transplant (HR: 1.20, 95% CI: 1.14–1.27) (p < 0.0001). Previous MELD values did not add predictive value to the most current MELD. We also showed that MELD at day 28 (MELD28) had a significant predictive value for subsequent mortality/transplant in a landmark analysis (HR: 1.18, 95% CI: 1.12–1.23). We show that the use of an ordinal scale including death, transplant, and MELD28 as a trial outcome could substantially reduce the sample size required to demonstrate short-term benefit of an intervention. Conclusion: We show that updated MELDs during the trajectory of AH predict subsequent mortality or the need for transplant. MELD28 inclusion in an ordinal outcome (together with death or transplant) could increase the efficiency of randomized controlled trials.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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