Literature DB >> 31662868

Evaluation and comparison of six noninvasive tests for prediction of significant or advanced fibrosis in nonalcoholic fatty liver disease.

Katharina Staufer1,2, Emina Halilbasic1, Walter Spindelboeck3, Magdalena Eilenberg4, Gerhard Prager4, Vanessa Stadlbauer3, Andreas Posch3, Petra Munda1, Rodrig Marculescu5, Barbara Obermayer-Pietsch3, Judith Stift6, Carolin Lackner7, Michael Trauner1, Rudolf E Stauber3.   

Abstract

Background: In nonalcoholic fatty liver disease (NAFLD), advanced fibrosis has been identified as an important prognostic factor with increased liver-related mortality and treatment need. Due to the high prevalence of NAFLD, noninvasive risk stratification is needed to select patients for liver biopsy and treatment. Objective: To compare the diagnostic accuracy of several widely available noninvasive tests for assessment of fibrosis among patients with NAFLD with or without nonalcoholic steatohepatitis (NASH).
Methods: We enrolled consecutive patients with NAFLD admitted to two Austrian referral centers who underwent liver biopsy. Liver stiffness measurement (LSM) was obtained by vibration-controlled transient elastography (VCTE, FibroScan) and blood samples were collected for determination of enhanced liver fibrosis (ELF) test, FibroMeterV2G, FibroMeterV3G, NAFLD fibrosis score (NFS), and fibrosis-4 index (FIB-4).
Results: Our study cohort contained 186 patients with histologically confirmed NAFLD. On liver histology, NASH was present in 92 patients (50%), significant fibrosis (F ≥ 2) in 71 patients (38%), advanced fibrosis (F ≥ 3) in 49 patients (26%), and F ≥ 3 plus NASH in 35 patients (19%). For diagnosis of F ≥ 2, F ≥ 3, and F ≥ 3 plus NASH, respectively, receiver operating characteristic (ROC) analysis revealed superior diagnostic accuracy of ELF score (area under ROC curve (AUROC) 0.85, 0.90, 0.90), FibroMeterV2G (AUROC 0.86, 0.88, 0.89), FibroMeterV3G (AUROC 0.84, 0.88, 0.88), and LSM per protocol (AUROC 0.87, 0.95, 0.91) versus FIB-4 (AUROC 0.80, 0.82, 0.81) or NFS (AUROC 0.78, 0.80, 0.79).
Conclusion: Proprietary fibrosis panels and VCTE show superior diagnostic accuracy for noninvasive diagnosis of fibrosis stage in NAFLD as compared to FIB-4 and NFS. © Author(s) 2019.

Entities:  

Keywords:  Enhanced liver fibrosis score; FibroMeter; NAFLD fibrosis score; fibrosis-4 index; liver stiffness measurement; vibration-controlled transient elastography

Mesh:

Year:  2019        PMID: 31662868      PMCID: PMC6794685          DOI: 10.1177/2050640619865133

Source DB:  PubMed          Journal:  United European Gastroenterol J        ISSN: 2050-6406            Impact factor:   4.623


  42 in total

1.  Index for rating diagnostic tests.

Authors:  W J YOUDEN
Journal:  Cancer       Date:  1950-01       Impact factor: 6.860

Review 2.  Fibrosis progression in nonalcoholic fatty liver vs nonalcoholic steatohepatitis: a systematic review and meta-analysis of paired-biopsy studies.

Authors:  Siddharth Singh; Alina M Allen; Zhen Wang; Larry J Prokop; Mohammad H Murad; Rohit Loomba
Journal:  Clin Gastroenterol Hepatol       Date:  2014-04-24       Impact factor: 11.382

3.  Fibrosis stage is the strongest predictor for disease-specific mortality in NAFLD after up to 33 years of follow-up.

Authors:  Mattias Ekstedt; Hannes Hagström; Patrik Nasr; Mats Fredrikson; Per Stål; Stergios Kechagias; Rolf Hultcrantz
Journal:  Hepatology       Date:  2015-03-23       Impact factor: 17.425

4.  Simple non-invasive fibrosis scoring systems can reliably exclude advanced fibrosis in patients with non-alcoholic fatty liver disease.

Authors:  Stuart McPherson; Stephen F Stewart; Elsbeth Henderson; Alastair D Burt; Christopher P Day
Journal:  Gut       Date:  2010-09       Impact factor: 23.059

5.  Design and validation of a histological scoring system for nonalcoholic fatty liver disease.

Authors:  David E Kleiner; Elizabeth M Brunt; Mark Van Natta; Cynthia Behling; Melissa J Contos; Oscar W Cummings; Linda D Ferrell; Yao-Chang Liu; Michael S Torbenson; Aynur Unalp-Arida; Matthew Yeh; Arthur J McCullough; Arun J Sanyal
Journal:  Hepatology       Date:  2005-06       Impact factor: 17.425

6.  Optimization and robustness of blood tests for liver fibrosis and cirrhosis.

Authors:  Paul Calès; Jérôme Boursier; Sandrine Bertrais; Frédéric Oberti; Yves Gallois; Isabelle Fouchard-Hubert; Nina Dib; Jean-Pierre Zarski; Marie Christine Rousselet
Journal:  Clin Biochem       Date:  2010-08-14       Impact factor: 3.281

7.  The Enhanced Liver Fibrosis (ELF) score: normal values, influence factors and proposed cut-off values.

Authors:  Ralf Lichtinghagen; Daniel Pietsch; Heike Bantel; Michael P Manns; Korbinian Brand; Matthias J Bahr
Journal:  J Hepatol       Date:  2013-03-21       Impact factor: 25.083

Review 8.  Non-invasive assessment of non-alcoholic fatty liver disease: Clinical prediction rules and blood-based biomarkers.

Authors:  Eduardo Vilar-Gomez; Naga Chalasani
Journal:  J Hepatol       Date:  2017-12-02       Impact factor: 25.083

9.  Performance of ELF serum markers in predicting fibrosis stage in pediatric non-alcoholic fatty liver disease.

Authors:  Valerio Nobili; Julie Parkes; Gianfranco Bottazzo; Matilde Marcellini; Richard Cross; Daniel Newman; Francesco Vizzutti; Massimo Pinzani; William M Rosenberg
Journal:  Gastroenterology       Date:  2008-09-20       Impact factor: 22.682

10.  Evaluation of Transient Elastography, Acoustic Radiation Force Impulse Imaging (ARFI), and Enhanced Liver Function (ELF) Score for Detection of Fibrosis in Morbidly Obese Patients.

Authors:  Thomas Karlas; Arne Dietrich; Veronica Peter; Christian Wittekind; Ralf Lichtinghagen; Nikita Garnov; Nicolas Linder; Alexander Schaudinn; Harald Busse; Christiane Prettin; Volker Keim; Michael Tröltzsch; Tatjana Schütz; Johannes Wiegand
Journal:  PLoS One       Date:  2015-11-03       Impact factor: 3.240

View more
  16 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.  Liver stiffness measurement by magnetic resonance elastography is not affected by hepatic steatosis.

Authors:  Jie Chen; Alina M Allen; Terry M Therneau; Jun Chen; Jiahui Li; Safa Hoodeshenas; Jingbiao Chen; Xin Lu; Zheng Zhu; Sudhakar K Venkatesh; Bin Song; Richard L Ehman; Meng Yin
Journal:  Eur Radiol       Date:  2021-08-25       Impact factor: 5.315

3.  Accuracy of non-invasive liver stiffness measurement and steatosis quantification in patients with severe and morbid obesity.

Authors:  Magdalena Eilenberg; Petra Munda; Judith Stift; Felix B Langer; Gerhard Prager; Michael Trauner; Katharina Staufer
Journal:  Hepatobiliary Surg Nutr       Date:  2021-10       Impact factor: 7.293

4.  Accuracy of controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) for assessing steatosis and fibrosis in non-alcoholic fatty liver disease: A systematic review and meta-analysis.

Authors:  Yu-Tian Cao; Liu-Lan Xiang; Fang Qi; Yu-Juan Zhang; Yi Chen; Xi-Qiao Zhou
Journal:  EClinicalMedicine       Date:  2022-07-10

Review 5.  Diagnostic and interventional circulating biomarkers in nonalcoholic steatohepatitis.

Authors:  Monica A Tincopa
Journal:  Endocrinol Diabetes Metab       Date:  2020-08-28

6.  The Effect of Moderate Weight Loss on a Non-Invasive Biomarker of Liver Fibrosis: A Randomised Controlled Trial.

Authors:  Dimitrios A Koutoukidis; Susan A Jebb; Paul Aveyard; Nerys M Astbury
Journal:  Obes Facts       Date:  2020-03-20       Impact factor: 3.942

7.  Protocol for a phase IV, open-label feasibility study investigating non-invasive markers of hepatic fibrosis in people living with HIV-1 and non-alcoholic fatty liver disease randomised to receiving optimised background therapy (OBT) plus maraviroc or OBT alone.

Authors:  Daniel Bradshaw; Yvonne Gilleece; Sumita Verma; Iga Abramowicz; Stephen Bremner; Nicky Perry
Journal:  BMJ Open       Date:  2020-07-06       Impact factor: 2.692

8.  High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis.

Authors:  Xiangke Pu; Danni Deng; Chaoyi Chu; Tianle Zhou; Jianhong Liu
Journal:  Sci Rep       Date:  2021-03-03       Impact factor: 4.379

9.  Noninvasive assessment of fibrosis among patients with nonalcoholic fatty liver disease [NAFLD].

Authors:  David Bernstein; Alexander J Kovalic
Journal:  Metabol Open       Date:  2022-01-05

Review 10.  Cancer and hepatic steatosis.

Authors:  R Paternostro; W Sieghart; M Trauner; M Pinter
Journal:  ESMO Open       Date:  2021-06-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.