Diagnostic performance of FibroTest, SteatoTest and ActiTest in patients with NAFLD using the SAF score as histological reference

Alimentary Pharmacology and Therapeutics

Volumn 44, Issue 8, 2016, Pages 877-889

  Munteanu, M ^a   Tiniakos, Dina ^b,c,n   Anstee, Q ^b   Charlotte, Frederic ^d,n   Marchesini, Giulio ⁿ   Bugianesi, Elisabetta ^f,n   Trauner, Michael ^g,n   Romero Gomez, Manuel ^h,n   Oliveira, Claudia ^i,n   Day, Chris ^b,n   Dufour, Jean François ^j,n   Bellentani, Stefano ^k,n   Ngo, Yen ^a,n   Traussnig, S ^g   Perazzo, H ^l   Deckmyn, O ^a   Bedossa, Pierre ^m,n   Ratziu, Vlad ^d,n   Poynard, Thierry ^d,n   Castille, Jean Marie ⁿ   Langon, Tania ⁿ   Lawlor, Debbie ⁿ   Marra, Fabio ⁿ   Sørensen, Thorkild ⁿ   Tribelli, Claudio ⁿ   De Minicis, Samuele ⁿ   Burt, Alastair D ⁿ   Gouw, Annette S H ⁿ   Lackner, Carolin ⁿ   Schirmacher, Peter ⁿ   Terracciano, Luigi ⁿ   Brain, J ⁿ   Bury, Yvonne ⁿ   Cabibi, Daniela ⁿ   David, Ezio ⁿ   Losi, Luisa ⁿ   Montani, Matteo ⁿ   Pareja, Marıa Jesus ⁿ   Wendum, Dominique ⁿ   Wrba, Fritz ⁿ   Ziol, Marianne ⁿ   Thabut, Dominique ⁿ   Moussalli, Joseph ⁿ   Lebray, Pascal ⁿ   Rudler, Marika ⁿ   Bismuth, Françoise Imbert ⁿ   Rosmorduc, Olivier ⁿ   Calmus, Yvon ⁿ   Hartemann, Agnes ⁿ   Jacqueminet, Sophie ⁿ   Bruckert, Eric ⁿ   Giral, Philippe ⁿ   Naveau, Sylvie ⁿ   Perlemuter, Gabriel ⁿ   Varsat, Brigitte ⁿ   Mercadier, Anne ⁿ   more..

^a Biopredictive   (France)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF ATHENS   (Greece)

^d INSERM   (France)

^e UNIVERSITY OF BOLOGNA   (Italy)

^f UNIVERSITY OF TURIN   (Italy)

^g MEDICAL UNIVERSITY OF VIENNA   (Austria)

^h HOSPITAL UNIVERSITARIO DE VALME   (Spain)

ⁱ UNIVERSITY OF SÃO PAULO   (Brazil)

^j UNIVERSITY OF BERN   (Switzerland)

^k AUSL Modena   (Italy)

^l ASSISTANCE PUBLIQUE HÔPITAUX DE PARIS   (France)

^m BEAUJON HOSPITAL   (France)

ⁿ NONE

more..

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BARD SCORE; DIAGNOSTIC TEST ACCURACY STUDY; DIGESTIVE SYSTEM DISEASE ASSESSMENT; DISEASE ACTIVITY; FEMALE; FIB4 SCORE; HUMAN; INFLAMMATION; LIVER BIOPSY; LIVER FIBROSIS; LIVER FUNCTION TEST KIT; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NON INVASIVE MEASUREMENT; NONALCOHOLIC FATTY LIVER; NONALCOHOLIC FATTY LIVER DISEASE FIBROSIS SCORE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; STEATOSIS; STEATOSIS ACTIVITY AND FIBROSIS SCORE;

EID: 84987800464     PISSN: 02692813     EISSN: 13652036     Source Type: Journal    
DOI: 10.1111/apt.13770     Document Type: Article

References (47)

1. European Association for Study of Liver; Asociacion Latinoamericana para el Estudio del Higado. EASL-ALEH Clinical Practice Guidelines: Non-invasive tests for evaluation of liver disease severity and prognosis. J Hepatol 2015; 63: 237–64.
2. Houot M, Ngo Y, Munteanu M, Marque S, Poynard T. Systematic review with meta-analysis: direct comparisons of biomarkers for the diagnosis of fibrosis in chronic hepatitis C and B. Aliment Pharmacol Ther 2016; 43: 16–29.
3. Bedossa P, Poitou C, Veyrie N, et al. Histopathological algorithm and scoring system for evaluation of liver lesions in morbidly obese patients. Hepatology 2012; 56: 1751–9.
4. Bedossa P; FLIP Pathology Consortium. Utility and appropriateness of the fatty liver inhibition of progression (FLIP) algorithm and steatosis, activity, and fibrosis (SAF) score in the evaluation of biopsies of nonalcoholic fatty liver disease. Hepatology 2014; 60: 565–75.
5. Bedossa P, Poynard T. An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology 1996; 24: 289–93.
6. Ratziu V, Massard J, Charlotte F, et al. Diagnostic value of biochemical markers (FibroTest-FibroSURE) for the prediction of liver fibrosis in patients with non-alcoholic fatty liver disease. BMC Gastroenterol 2006; 6: 6.
7. Lassailly G, Caiazzo R, Hollebecque A, et al. Validation of noninvasive biomarkers (FibroTest, SteatoTest, and NashTest) for prediction of liver injury in patients with morbid obesity. Eur J Gastroenterol Hepatol 2011; 23: 499–506.
8. Adams LA, George J, Bugianesi E, et al. Complex non-invasive fibrosis models are more accurate than simple models in non-alcoholic fatty liver disease. J Gastroenterol Hepatol 2011; 26: 1536–43.
9. Sebastiani G, Castera L, Halfon P, et al. The impact of liver disease aetiology and the stages of hepatic fibrosis on the performance of non-invasive fibrosis biomarkers: an international study of 2411 cases. Aliment Pharmacol Ther 2011; 34: 1202–16.
10. Poynard T, Lassailly G, Diaz E, et al. Performance of biomarkers FibroTest, ActiTest, SteatoTest, and NashTest in patients with severe obesity: meta analysis of individual patient data. PLoS ONE 2012; 7: e30325.
11. Boursier J, Vergniol J, Guillet A, et al. Diagnostic accuracy and prognostic significance of blood fibrosis tests and liver stiffness measurement by Fibroscan in non-alcoholic fatty liver disease. J Hepatol 2016; doi: 10.1016/j.jhep.2016.04.023.
12. Poynard T, Ratziu V, Charlotte F, et al. Diagnostic value of biochemical markers(NashTest) for the prediction of non alcoholo-steato-hepatitis in patients with non-alcoholic fatty liver disease. BMC Gastroenterol 2006; 6: 34.
13. Poynard T, Ratziu V, Naveau S, et al. The diagnostic value of biomarkers (SteatoTest) for the prediction of liver steatosis. Comp Hepatol 2005; 4: 10.
14. Ratziu V, de Ledinghen V, Oberti F, et al. A randomized controlled trial of high-dose ursodesoxycholic acid for nonalcoholic steatohepatitis. J Hepatol 2011; 54: 1011–9.
15. Ratziu V, Harrison SA, Francque S, et al. Elafibranor, an Agonist of the Peroxisome Proliferator-Activated Receptor-α and -δ, Induces resolution of Nonalcoholic Steatohepatitis without fibrosis worsening. Gastroenterology 2016; 150: 1147–59.
16. Friedman S, Sanyal A, Goodman Z, et al. Efficacy and safety study of cenicriviroc for the treatment of non-alcoholic steatohepatitis in adult subjects with liver fibrosis: CENTAUR Phase 2b study design. Contemp Clin Trials 2016; 47: 356–65.
17. Poynard T, Halfon P, Castera L, et al. Standardization of ROC curve areas for diagnostic evaluation of liver fibrosis markers based on prevalences of fibrosis stages. Clin Chem 2007; 53: 1615–22.
18. Lambert J, Halfon P, Penaranda G, Bedossa P, Cacoub P, Carrat F. How to measure the diagnostic accuracy of noninvasive liver fibrosis indices: the area under the ROC curve revisited. Clin Chem 2008; 54: 1372–8.
19. Boursier J, de Ledinghen V, Poynard T, et al. An extension of STARD statements for reporting diagnostic accuracy studies on liver fibrosis tests: the Liver-FibroSTARD standards. J Hepatol 2015; 62: 807–15.
20. Poynard T, Bedossa P, Opolon P. Natural history of liver fibrosis progression in patients with chronic hepatitis C. Lancet 1997; 349: 825–32.
21. Poynard T, Mathurin P, Lai CL, et al. A comparison of fibrosis progression in chronic liver diseases. J Hepatol 2003; 38: 257–65.
22. Poynard T, Munteanu M, Deckmyn O, et al. Validation of liver fibrosis biomarker (FibroTest) for assessing liver fibrosis progression: proof of concept and first application in a large population. J Hepatol 2012; 57: 541–8.
23. Poynard T, Deckmyn O, Munteanu M, et al. Awareness of the severity of liver disease re-examined using software-combined biomarkers of liver fibrosis and necroinflammatory activity. BMJ Open 2015; 23: e010017.
24. Poynard T, Munteanu M, Deckmyn O, et al. Applicability and precautions of use of liver injury biomarker FT. A reappraisal at 7 years of age. BMC Gastroenterol 2011; 11: 39.
25. Kleiner DE, Brunt EM, Van Natta M, et al. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology 2005; 41: 1313–132120.
26. Poynard T, Morra R, Halfon P, et al. Meta-analyses of FibroTest diagnostic value in chronic liver disease. BMC Gastroenterol 2007; 7: 40.
27. Poynard T, Lebray P, Ingiliz P, et al. Prevalence of liver fibrosis and risk factors in a general population using non-invasive biomarkers. BMC Gastroenterol 2010; 10: 40.
28. ®). J Hepatol 2014; 61: 994–1003.
29. Naveau S, Gaudé G, Asnacios A, et al. Diagnostic and prognostic values of noninvasive biomarkers of fibrosis in patients with alcoholic liver disease. Hepatology 2009; 49: 97–105.
30. Perazzo H, Munteanu M, Ngo Y, et al. Prognostic value of liver fibrosis and steatosis biomarkers in type-2 diabetes and dyslipidaemia. Aliment Pharmacol Ther 2014; 40: 1081–93.
31. Poynard T, Lenaour G, Vaillant JC, et al. Liver biopsy analysis has a low level of performance for diagnosis of intermediate stages of fibrosis. Clin Gastroenterol Hepatol 2012; 10: 657–63.
32. Poynard T, Halfon P, Castera L, et al. Variability of the area under the receiver operating characteristic curves in the diagnostic evaluation of liver fibrosis markers: impact of biopsy length and fragmentation. Aliment Pharmacol Ther 2007; 25: 733–9.
33. Hintze J. NCSS 2013, LCC. Kaysville, Utah, USA, 2012. Available at: www.ncss.com.
34. Nguyen P. nonbinROC: Software for evaluating diagnostic accuracies with non-binary gold standards. J Stat Softw 2007; 21: 1–10.
35. Imbert-Bismut F, Messous D, Thibault V, et al. Intra-laboratory analytical variability of biochemical markers of fibrosis (Fibrotest) and activity (Actitest) and reference ranges in healthy blood donors. Clin Chem Lab Med 2004; 42: 323–33.
36. Poynard T, Imbert-Bismut F, Munteanu M, et al. Overview of the diagnostic value of biochemical markers of liver fibrosis (FibroTest, HCV FibroSure) and necrosis (ActiTest) in patients with chronic hepatitis C. Comp Hepatol 2004; 23: 3–8.
37. Ratziu V, Giral P, Munteanu M, et al. Screening for liver disease using non-invasive biomarkers (FibroTest, SteatoTest and NashTest) in patients with hyperlipidaemia. Aliment Pharmacol Ther 2007; 25: 207–18.
38. ®). J Hepatol 2014; 60: 706–14.
39. Ratziu V, Charlotte F, Heurtier A, et al. Sampling variability of liver biopsy in nonalcoholic fatty liver disease. Gastroenterology 2005; 128: 1898–906.
40. Rousselet MC, Michalak S, Dupré F, et al. Sources of variability in histological scoring of chronic viral hepatitis. Hepatology 2005; 41: 257–64.
41. Ding H, Ma JJ, Wang WP, et al. Assessment of liver fibrosis: the relationship between point shear wave elastography and quantitative histological analysis. J Gastroenterol Hepatol 2015; 30: 553–8.
42. Kälsch J, Bechmann LP, Heider D, et al. Normal liver enzymes are correlated with severity of metabolic syndrome in a large population based cohort. Sci Rep 2015; 5: 13058.
43. Friedrich-Rust M, Poynard T, Castera L. Critical comparison of elastography methods to assess chronic liver disease. Nat Rev Gastroenterol Hepatol 2016; 13: 402–11.
44. Poynard T, Munteanu M, Ngo Y, et al. ActiTest accuracy for the assessment of histological activity grades in patients with chronic hepatitis C, an overview using Obuchowski measure. Gastroenterol Clin Biol 2010; 34: 388–96.
45. Chao DT, Lim JK, Ayoub WS, et al. Systematic review with meta-analysis: the proportion of chronic hepatitis B patients with normal alanine transaminase ≤40 IU/L and significant hepatic fibrosis. Aliment Pharmacol Ther 2014; 39: 349–58.
46. Chou R, Wasson N. Blood tests to diagnose fibrosis or cirrhosis in patients with chronic hepatitis C virus infection: a systematic review. Ann Intern Med 2013; 158: 807–20.
47. Poynard T, de Ledinghen V, Zarski JP, et al. FibroTest and Fibroscan performances revisited in patients with chronic hepatitis C. Impact of the spectrum effect and the applicability rate. Clin Res Hepatol Gastroenterol 2011; 35: 720–30.