Literature DB >> 34706868

Reply to: Non-invasive tests and advanced chronic liver disease in NAFLD: two steps forward and one step back?

Michael Pavlides1,2,3, Ferenc E Mózes4, Stephen A Harrison4.   

Abstract

Entities:  

Keywords:  fatty liver; hepatocellular carcinoma; liver cirrhosis

Mesh:

Year:  2021        PMID: 34706868      PMCID: PMC9185810          DOI: 10.1136/gutjnl-2021-326313

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   31.793


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We appreciate the interest in our study by Majumdar and Tsochatzis1 and welcome the opportunity to provide some clarifications. The literature to date has examined non-invasive test (NIT) algorithms to rule-in and rule-out advanced fibrosis (AF). The main use of such algorithms is to identify those at low risk of AF who can be managed in primary care. We propose an algorithm2 where the rule-out cut-offs remain optimised for AF, whereas the rule-in cut-offs are optimised for cirrhosis. The false-negative (FN) rate of 10% in our proposed algorithm refers to the FN rate for AF and not cirrhosis as Majumdar and Tsochatzis state in their letter.1 Only 18/570 (3%) of patients with cirrhosis are missed using our proposed algorithm (table 1).
Table 1

Number of patients with fibrosis stage F0–2, F3 and F4 according to LSM cut-offs recommended by the Baveno 6 consensus (10 and 15 kPa) and our previous paper (8 and 20, and 8 and 28 kPa)

LSM<10 kPaLSM≥10 and < 15 kPaLSM≥15 kPa
F0–23135508192
F3420372292
F453140377
LSM<8 kPa LSM≥8 and <20 kPa LSM≥20 kPa
F0–22591117470
F3213701170
F418260292
LSM<8 kPa LSM≥8 and <28 kPa LSM≥28 kPa
F0–22591121826
F321381952
F418399153

LSM, liver stiffness measurement.

Number of patients with fibrosis stage F0–2, F3 and F4 according to LSM cut-offs recommended by the Baveno 6 consensus (10 and 15 kPa) and our previous paper (8 and 20, and 8 and 28 kPa) LSM, liver stiffness measurement. We also argue2 that patients with NITs above the rule-in cut-off for AF should undergo liver biopsy to identify those with cirrhosis who should undergo screening for hepatocellular cancer (HCC) with 6-monthly ultrasound scans. Our data consist mostly of cases that have undergone liver biopsies to stage fibrosis and do not include patients with overt features for cirrhosis, as these patients do not usually undergo liver biopsy. While we do not have radiology data, liver surface nodularity is not specific to liver cirrhosis, but can be seen in earlier stages of disease.3 Our data show that among the few patients with laboratory parameters suggestive of cirrhosis (platelet count<150×109 /L, albumin<35 g/L and international normalised ratio (INR)>1.2) most fall above the liver stiffness measurement (LSM) cut-off of 20 kPa (table 2). Therefore, laboratory features are not helpful in diagnosing cirrhosis in those with LSM<20 kPa.
Table 2

Number of patients with laboratory features of cirrhosis according to histological and liver stiffness-based classification

n=1657LSM≥15 kPaLSM≥20 kPaLSM≥28 kPa
Plt<150×109/LF4474425
F0-31992
Plt<150×109/L andAlbumin<35 g/LF4876
F0-3111
Plt<150×109/L andAlbumin<35 g/L andINR>1.2F4554
F0-3111

INR, international normalised ratio; LSM, liver stiffness measurement; Plt, platelet count.

Number of patients with laboratory features of cirrhosis according to histological and liver stiffness-based classification INR, international normalised ratio; LSM, liver stiffness measurement; Plt, platelet count. Majumdar and Tsochatzis1 suggest that the LSM cut-off of 15 kPa recommended by Baveno VI4 could identify those with compensated advanced chronic liver disease (cACLD). However, it is not clear how patients with LSM≥15 kPa should be managed with regard to HCC surveillance. Based on our data, if those with LSM≥15 kPa are entered into HCC surveillance, only 44% will have cirrhosis, while nearly a quarter will have F0–2 fibrosis (table 1). We are not aware of any data supporting HCC surveillance in those with LSM≥15 kPa, and Baveno VI4 makes no recommendations on whether these patients should undergo screening for HCC. Furthermore, screening is generally cost-effective if the annual risk of HCC is ≥1% and currently recommended only in those with Non-Alcoholic Fatty Liver Disease and cirrhosis.5 The risk of HCC is <1% in those with LSM<18 kPa,6 while the presence of cirrhosis rather than high NITs is the main driver of the HCC risk.7 We therefore believe that screening patients with LSM≥15 kPa for HCC without further disease staging is not justified. With regard to risk stratification for oesophageal varices, the LSM cut-off of 20 kPa recommended by Baveno VI4 is only useful as a screening tool with a high negative predictive value that decreases the number of unnecessary endoscopies done to identify varices needing treatment (VNT). This cut-off has not been validated as a diagnostic tool that could replace endoscopy. The positive predictive value of the Baveno VI criteria for VNT was only 0.18 in one study.8 The patients ruled in as having cirrhosis by the 20 kPa cut-off would therefore still need to undergo endoscopy to identify the minority with VNT. In conclusion, diagnosis of liver cirrhosis is still important to determine the need for HCC screening. Previously proposed NIT cut-offs are optimised for AF or cACLD on biopsy and not on HCC risk. Long-term outcome data to determine NIT cut-offs that incur a 1% annual risk of HCC are needed before we know which patients will benefit from HCC surveillance without a histological diagnosis of cirrhosis.
  8 in total

1.  Expanding consensus in portal hypertension: Report of the Baveno VI Consensus Workshop: Stratifying risk and individualizing care for portal hypertension.

Authors:  Roberto de Franchis
Journal:  J Hepatol       Date:  2015-06-03       Impact factor: 25.083

Review 2.  EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma.

Authors: 
Journal:  J Hepatol       Date:  2018-04-05       Impact factor: 25.083

3.  Liver stiffness measurement predicts long-term survival and complications in non-alcoholic fatty liver disease.

Authors:  Sarah Shili-Masmoudi; Grace Lai-Hung Wong; Jean-Baptiste Hiriart; Ken Liu; Faiza Chermak; Sally She-Ting Shu; Juliette Foucher; Yee-Kit Tse; Pierre-Henri Bernard; Terry Cheuk-Fung Yip; Wassil Merrouche; Henry Lik-Yuen Chan; Vincent Wai-Sun Wong; Victor de Lédinghen
Journal:  Liver Int       Date:  2019-12-08       Impact factor: 5.828

4.  Non-invasive prediction of esophageal varices by stiffness and platelet in non-alcoholic fatty liver disease cirrhosis.

Authors:  Salvatore Petta; Giada Sebastiani; Elisabetta Bugianesi; Mauro Viganò; Vincent Wai-Sun Wong; Annalisa Berzigotti; Anna Ludovica Fracanzani; Quentin M Anstee; Fabio Marra; Marco Barbara; Vincenza Calvaruso; Calogero Cammà; Vito Di Marco; Antonio Craxì; Victor de Ledinghen
Journal:  J Hepatol       Date:  2018-05-24       Impact factor: 25.083

5.  Non-invasive tests and advanced chronic liver disease in NAFLD: two steps forward and one step back?

Authors:  Avik Majumdar; Emmanuel A Tsochatzis
Journal:  Gut       Date:  2021-09-14       Impact factor: 31.793

6.  Liver surface nodularity on non-contrast MRI identifies advanced fibrosis in patients with NAFLD.

Authors:  Marco Dioguardi Burgio; Riccardo Sartoris; Aurélie Beaufrere; Jules Grégory; Boris Guiu; Chloé Guillot; Pierre-Emmanuel Rautou; Laurent Castera; Mohamed Bouattour; Valérie Paradis; Valérie Vilgrain; Maxime Ronot
Journal:  Eur Radiol       Date:  2021-09-17       Impact factor: 7.034

7.  Risk of Hepatocellular Cancer in Patients With Non-Alcoholic Fatty Liver Disease.

Authors:  Fasiha Kanwal; Jennifer R Kramer; Srikar Mapakshi; Yamini Natarajan; Maneerat Chayanupatkul; Peter A Richardson; Liang Li; Roxanne Desiderio; Aaron P Thrift; Steven M Asch; Jinna Chu; Hashem B El-Serag
Journal:  Gastroenterology       Date:  2018-08-23       Impact factor: 22.682

8.  Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis.

Authors:  Ferenc Emil Mózes; Jenny A Lee; Emmanuel Anandraj Selvaraj; Arjun Narayan Ajmer Jayaswal; Michael Trauner; Jerome Boursier; Céline Fournier; Katharina Staufer; Rudolf E Stauber; Elisabetta Bugianesi; Ramy Younes; Silvia Gaia; Monica Lupșor-Platon; Salvatore Petta; Toshihide Shima; Takeshi Okanoue; Sanjiv Mahadeva; Wah-Kheong Chan; Peter J Eddowes; Gideon M Hirschfield; Philip Noel Newsome; Vincent Wai-Sun Wong; Victor de Ledinghen; Jiangao Fan; Feng Shen; Jeremy F Cobbold; Yoshio Sumida; Akira Okajima; Jörn M Schattenberg; Christian Labenz; Won Kim; Myoung Seok Lee; Johannes Wiegand; Thomas Karlas; Yusuf Yılmaz; Guruprasad Padur Aithal; Naaventhan Palaniyappan; Christophe Cassinotto; Sandeep Aggarwal; Harshit Garg; Geraldine J Ooi; Atsushi Nakajima; Masato Yoneda; Marianne Ziol; Nathalie Barget; Andreas Geier; Theresa Tuthill; M Julia Brosnan; Quentin Mark Anstee; Stefan Neubauer; Stephen A Harrison; Patrick M Bossuyt; Michael Pavlides
Journal:  Gut       Date:  2021-05-17       Impact factor: 23.059

  8 in total
  2 in total

1.  Reduced and more appropriate referrals of patients with type 2 diabetes using liver stiffness measurement compared to FIB-4.

Authors:  William Shanahan; Isha Bagwe; Mary Jane Brassill; Paud O'Regan
Journal:  Ir J Med Sci       Date:  2022-04-29       Impact factor: 1.568

2.  Liver surface nodularity on non-contrast MRI identifies advanced fibrosis in patients with NAFLD.

Authors:  Marco Dioguardi Burgio; Riccardo Sartoris; Aurélie Beaufrere; Jules Grégory; Boris Guiu; Chloé Guillot; Pierre-Emmanuel Rautou; Laurent Castera; Mohamed Bouattour; Valérie Paradis; Valérie Vilgrain; Maxime Ronot
Journal:  Eur Radiol       Date:  2021-09-17       Impact factor: 7.034

  2 in total

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