Literature DB >> 30876959

Optimizing Use of Nonalcoholic Fatty Liver Disease Fibrosis Score, Fibrosis-4 Score, and Liver Stiffness Measurement to Identify Patients With Advanced Fibrosis.

Wah-Kheong Chan1, Sombat Treeprasertsuk2, George Boon-Bee Goh3, Jian-Gao Fan4, Myeong Jun Song5, Phunchai Charatcharoenwitthaya6, Ajay Duseja7, Yock-Young Dan8, Kento Imajo9, Atsushi Nakajima9, Khek-Yu Ho8, Khean-Lee Goh10, Vincent Wai-Sun Wong11.   

Abstract

BACKGROUND & AIMS: Measuring liver stiffness only in patients with indeterminate or high nonalcoholic fatty liver disease (NAFLD) fibrosis scores (called a 2-step approach) was reported to reduce indeterminate or discordant results while maintaining the accuracy to identify patients with advanced fibrosis. We aimed to validate this approach using data collected from the Gut and Obesity in Asia Workgroup.
METHODS: We performed a retrospective analysis of data from 759 patients with biopsy-proven NAFLD (24% with advanced fibrosis), seen at 10 centers in 9 countries in Asia, from 2006 through 2018. By using liver biopsies as the reference standard, we calculated percentages of misclassifications and indeterminate or discordant results from assessments made based on fibrosis scores (NAFLD fibrosis score [NFS] or Fibrosis-4 score) and liver stiffness measurements (LSMs), alone or in combination. The analysis was repeated using randomly selected subgroups with a different prevalence of advanced fibrosis (histologic fibrosis stage ≥F3).
RESULTS: In groups in which 3.7% and 10% of patients had advanced fibrosis, a 2-step approach (using the NFS followed by LSM only for patients with indeterminate or high NFS) and using a gray zone of 10 to 15 kPa for LSM, produced indeterminate or discordant results for 6.9% of patients and misclassified 2.7% of patients; only 25.6% of patients required LSM. In the group in which 10% of patients had advanced fibrosis, the same approach produced indeterminate or discordant results for 7.9% of patients and misclassified 6.6% of patients; only 27.4% of patients required LSM. In groups in which 24% and 50% of patients had advanced fibrosis, using LSM ≥10 kPa alone for the diagnosis of advanced fibrosis had the highest accuracy and misclassified 18.1% and 18.3% of patients, respectively. These results were similar when the Fibrosis-4 score was used in place of NFS.
CONCLUSIONS: In a retrospective analysis, we found that a 2-step approach using fibrosis scores followed by LSM most accurately detects advanced fibrosis in populations with a low prevalence of advanced fibrosis. However, LSM ≥10 kPa identifies patients with advanced fibrosis with the highest level of accuracy in populations with a high prevalence of advanced fibrosis.
Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Fibroscan; GO ASIA; Noninvasive; Transient Elastography

Mesh:

Year:  2019        PMID: 30876959     DOI: 10.1016/j.cgh.2019.03.006

Source DB:  PubMed          Journal:  Clin Gastroenterol Hepatol        ISSN: 1542-3565            Impact factor:   11.382


  20 in total

1.  A Stepwise Algorithmic Approach and External Validation Study for Noninvasive Prediction of Advanced Fibrosis in Nonalcoholic Fatty Liver Disease.

Authors:  Heather Mary-Kathleen Kosick; Aline Keyrouz; Oyedele Adeyi; Giada Sebastiani; Keyur Patel
Journal:  Dig Dis Sci       Date:  2021-01-03       Impact factor: 3.199

2.  Quantification of Liver Fibrosis, Steatosis, and Viscosity Using Multiparametric Ultrasound in Patients with Non-Alcoholic Liver Disease: A "Real-Life" Cohort Study.

Authors:  Alexandru Popa; Felix Bende; Roxana Șirli; Alina Popescu; Victor Bâldea; Raluca Lupușoru; Radu Cotrău; Renata Fofiu; Camelia Foncea; Ioan Sporea
Journal:  Diagnostics (Basel)       Date:  2021-04-26

Review 3.  Clinical Care Pathway for the Risk Stratification and Management of Patients With Nonalcoholic Fatty Liver Disease.

Authors:  Fasiha Kanwal; Jay H Shubrook; Leon A Adams; Kim Pfotenhauer; Vincent Wai-Sun Wong; Eugene Wright; Manal F Abdelmalek; Stephen A Harrison; Rohit Loomba; Christos S Mantzoros; Elisabetta Bugianesi; Robert H Eckel; Lee M Kaplan; Hashem B El-Serag; Kenneth Cusi
Journal:  Gastroenterology       Date:  2021-09-20       Impact factor: 33.883

Review 4.  Epidemiology: Pathogenesis, and Diagnostic Strategy of Diabetic Liver Disease in Japan.

Authors:  Yoshio Sumida; Toshihide Shima; Yasuhide Mitsumoto; Takafumi Katayama; Atsushi Umemura; Kanji Yamaguchi; Yoshito Itoh; Masashi Yoneda; Takeshi Okanoue
Journal:  Int J Mol Sci       Date:  2020-06-18       Impact factor: 5.923

5.  Transient Elastography in Alcoholic Liver Disease and Nonalcoholic Fatty Liver Disease: A Systemic Review and Meta-Analysis.

Authors:  Changzhou Cai; Xin Song; Xueyang Chen; Weihua Zhou; Qi Jin; Shenghui Chen; Feng Ji
Journal:  Can J Gastroenterol Hepatol       Date:  2021-01-20

6.  Individualized Polygenic Risk Score Identifies NASH in the Eastern Asia Region: A Derivation and Validation Study.

Authors:  Feng Gao; Kenneth I Zheng; Sui-Dan Chen; Dong Hyeon Lee; Xi-Xi Wu; Xiao-Dong Wang; Giovanni Targher; Christopher D Byrne; Yong-Ping Chen; Won Kim; Ming-Hua Zheng
Journal:  Clin Transl Gastroenterol       Date:  2021-03-10       Impact factor: 4.396

7.  Coronary artery disease and non-alcoholic fatty liver disease: Clinical correlation using computed tomography coronary calcium scans.

Authors:  Richard S Kirby; Dina Halegoua-DeMarzio
Journal:  JGH Open       Date:  2021-02-19

Review 8.  Elastography Techniques for the Assessment of Liver Fibrosis in Non-Alcoholic Fatty Liver Disease.

Authors:  Yasushi Honda; Masato Yoneda; Kento Imajo; Atsushi Nakajima
Journal:  Int J Mol Sci       Date:  2020-06-05       Impact factor: 5.923

9.  Whole-liver histogram and texture analysis on T1 maps improves the risk stratification of advanced fibrosis in NAFLD.

Authors:  Xinxin Xu; Hong Zhu; Ruokun Li; Huimin Lin; Robert Grimm; Caixia Fu; Fuhua Yan
Journal:  Eur Radiol       Date:  2020-09-08       Impact factor: 5.315

10.  Validation of a two-step approach combining serum biomarkers and liver stiffness measurement to predict advanced fibrosis.

Authors:  Hideki Fujii; Masaru Enomoto; Shinya Fukumoto; Tatsuo Kimura; Yuji Nadatani; Shingo Takashima; Atsushi Hagihara; Sawako Uchida-Kobayashi; Akihiro Tamori; Naoki Nishimoto; Norifumi Kawada
Journal:  JGH Open       Date:  2021-06-10
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