Literature DB >> 35048297

The Association of Fibrosis-4 Index Scores with Severe Liver Outcomes in Primary Care.

Andrew D Schreiner1, William P Moran2, Jingwen Zhang2, Sherry Livingston3, Justin Marsden2, Patrick D Mauldin2, David Koch2, Mulugeta Gebregziabher3.   

Abstract

BACKGROUND: The Fibrosis-4 Index (FIB-4)non-invasively assesses fibrosis risk in chronic liver disease (CLD), but underdiagnosis limits FIB-4's application in primary care.
OBJECTIVE: To evaluate the association of FIB-4 risk with hazard of severe liver outcomes in primary care patients with and without diagnosed CLD.
DESIGN: Retrospective cohort study of primary care data from 2007 to 2018. PARTICIPANTS: Adult patients with qualifying aminotransferase and platelet count results were included and a single FIB-4 score was calculated for each patient using the first of these values. Patients with a CLD diagnosis or outcome prior to their FIB-4 score were excluded. MEASURES: FIB-4 advanced fibrosis risk categorization (low, indeterminate, and high) was the primary predictor variable. Patients were followed from FIB-4 score to a severe liver outcome, a composite of cirrhosis, liver transplantation, and hepatocellular carcinoma. We analyzed the association of FIB-4 risk categories with hazard risk of a severe liver outcome using stratified Cox regression models, stratifying patients by known CLD. KEY
RESULTS: A total of 20,556 patients were followed for a mean 2,978 days (SD 1,201 days), and 4% of patients experienced a severe liver outcome. Of patients with low-, indeterminate-, and high-risk FIB-4 scores, 2%, 4%, and 20% suffered a severe liver outcome, respectively. In the overall adjusted model, high-risk FIB-4 scores were associated with hazard of severe liver disease (HR 6.64; 95% CI 5.58-7.90). High-risk FIB-4 scores were associated with severe liver outcomes for patients with known NAFLD (HR 7.32; 95% CI 3.44-15.58), other liver disease (HR 11.39; 95% CI 8.53-15.20), and no known CLD (HR 4.05; 95% CI 3.10-5.28).
CONCLUSIONS: High-risk FIB-4 scores were strongly associated with risk of severe liver outcomes in patients with and without known CLD. Comprehensive FIB-4 application in primary care may signal silently advancing liver fibrosis.
© 2022. The Author(s) under exclusive licence to Society of General Internal Medicine.

Entities:  

Keywords:  Chronic liver disease; FIB-4; NAFLD

Mesh:

Substances:

Year:  2022        PMID: 35048297      PMCID: PMC9550951          DOI: 10.1007/s11606-021-07341-z

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   6.473


  42 in total

1.  Prospective evaluation of a primary care referral pathway for patients with non-alcoholic fatty liver disease.

Authors:  Ankur Srivastava; Ruth Gailer; Sudeep Tanwar; Paul Trembling; Julie Parkes; Alison Rodger; Deepak Suri; Douglas Thorburn; Karen Sennett; Sarah Morgan; Emmanuel A Tsochatzis; William Rosenberg
Journal:  J Hepatol       Date:  2019-04-06       Impact factor: 25.083

2.  Fibrosis stage but not NASH predicts mortality and time to development of severe liver disease in biopsy-proven NAFLD.

Authors:  Hannes Hagström; Patrik Nasr; Mattias Ekstedt; Ulf Hammar; Per Stål; Rolf Hultcrantz; Stergios Kechagias
Journal:  J Hepatol       Date:  2017-08-10       Impact factor: 25.083

3.  Association Between Fibrosis Stage and Outcomes of Patients With Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis.

Authors:  Rod S Taylor; Rebecca J Taylor; Sue Bayliss; Hannes Hagström; Patrik Nasr; Jorn M Schattenberg; Masatoshi Ishigami; Hidenori Toyoda; Vincent Wai-Sun Wong; Noam Peleg; Amir Shlomai; Giada Sebastiani; Yuya Seko; Neeraj Bhala; Zobair M Younossi; Quentin M Anstee; Stuart McPherson; Philip N Newsome
Journal:  Gastroenterology       Date:  2020-02-04       Impact factor: 22.682

Review 4.  Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: Systematic review and meta-analysis.

Authors:  Parambir S Dulai; Siddharth Singh; Janki Patel; Meera Soni; Larry J Prokop; Zobair Younossi; Giada Sebastiani; Mattias Ekstedt; Hannes Hagstrom; Patrik Nasr; Per Stal; Vincent Wai-Sun Wong; Stergios Kechagias; Rolf Hultcrantz; Rohit Loomba
Journal:  Hepatology       Date:  2017-03-31       Impact factor: 17.425

5.  Repeated FIB-4 measurements can help identify individuals at risk of severe liver disease.

Authors:  Hannes Hagström; Mats Talbäck; Anna Andreasson; Göran Walldius; Niklas Hammar
Journal:  J Hepatol       Date:  2020-07-01       Impact factor: 25.083

6.  Assessing the Burden of Abnormal LFTs and the Role of the Electronic Health Record: A Retrospective Study.

Authors:  Andrew D Schreiner; Patrick D Mauldin; William P Moran; Valerie Durkalski-Mauldin; Jingwen Zhang; Samuel O Schumann; Marc E Heincelman; Justin Marsden; Don C Rockey
Journal:  Am J Med Sci       Date:  2018-02-09       Impact factor: 2.378

Review 7.  Comparison of diagnostic accuracy of aspartate aminotransferase to platelet ratio index and fibrosis-4 index for detecting liver fibrosis in adult patients with chronic hepatitis B virus infection: a systemic review and meta-analysis.

Authors:  Guangqin Xiao; Jiayin Yang; Lunan Yan
Journal:  Hepatology       Date:  2014-11-24       Impact factor: 17.425

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Authors:  Srikar Mapakshi; Jennifer R Kramer; Peter Richardson; Hashem B El-Serag; Fasiha Kanwal
Journal:  Clin Gastroenterol Hepatol       Date:  2018-02-01       Impact factor: 11.382

9.  Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction.

Authors:  Tait D Shanafelt; Lotte N Dyrbye; Christine Sinsky; Omar Hasan; Daniel Satele; Jeff Sloan; Colin P West
Journal:  Mayo Clin Proc       Date:  2016-06-27       Impact factor: 7.616

10.  Low Awareness of Nonalcoholic Fatty Liver Disease in a Population-Based Cohort Sample: the CARDIA Study.

Authors:  Erin R Cleveland; Hongyan Ning; Miriam B Vos; Cora E Lewis; Mary E Rinella; John Jeffrey Carr; Donald M Lloyd-Jones; Lisa B VanWagner
Journal:  J Gen Intern Med       Date:  2019-10-08       Impact factor: 5.128

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