Biomarkers for staging fibrosis and non-alcoholic steatohepatitis in non-alcoholic fatty liver disease (the LITMUS project): a comparative diagnostic accuracy study

被引:79
|
作者
Vali, Yasaman [1 ]
Lee, Jenny [1 ]
Boursier, Jerome [3 ,4 ]
Petta, Salvatore [5 ]
Wonders, Kristy [6 ]
Tiniakos, Dina [6 ,7 ]
Bedossa, Pierre [6 ]
Geier, Andreas [9 ]
Francque, Sven [10 ]
Allison, Mike [11 ]
Papatheodoridis, Georgios [8 ]
Cortez-Pinto, Helena [12 ]
Pais, Raluca [13 ]
Dufour, Jean-Francois [14 ]
Leeming, Diana Julie [15 ]
Harrison, Stephen A. [19 ]
Chen, Yu [16 ]
Cobbold, Jeremy F. [17 ]
Pavlides, Michael [18 ]
Holleboom, Adriaan G. [2 ]
Yki-Jarvinen, Hannele [20 ,21 ]
Crespo, Javier [22 ]
Karsdal, Morten [15 ]
Ostroff, Rachel [23 ]
Zafarmand, Mohammad Hadi [1 ]
Torstenson, Richard [24 ]
Duffin, Kevin [16 ]
Yunis, Carla [25 ]
Brass, Clifford [26 ]
Ekstedt, Mattias [27 ]
Aithal, Guruprasad P. [28 ]
Schattenberg, Joern M. [29 ]
Bugianesi, Elisabetta [30 ]
Romero-Gomez, Manuel [31 ]
Ratziu, Vlad [13 ]
Anstee, Quentin M. [6 ,32 ]
Bossuyt, Patrick M. [1 ]
机构
[1] Univ Amsterdam, Epidemiol & Data Sci, Amsterdam Publ Hlth, Amsterdam, Netherlands
[2] Univ Amsterdam, Amsterdam Univ Med Ctr, Dept Internal & Vasc Med, Amsterdam, Netherlands
[3] Univ Angers, Univ Paris Res, Lab Hemodynam Interact Fibrose & Invas Tumorales, Struct Federat Rech Interact Cellulaires & Applic, Angers, France
[4] Univ Hosp Angers, Dept Hepatogastroenterol & Digest Oncol, Angers, France
[5] Univ Palermo, Promoz Salute Maternoinfantile Med Interna & Spec, Sect Gastroenterol & Hepatol, Palermo, Italy
[6] Newcastle Univ, Translat & Clin Res Inst, Fac Med Sci, Newcastle Upon Tyne, England
[7] Natl & Kapodistrian Univ Athens, Aretaieion Hosp, Dept Pathol, Athens, Greece
[8] Natl & Kapodistrian Univ Athens, Gastroenterol Dept, Athens, Greece
[9] Wurzburg Univ Hosp, Dept Med 2, Div Hepatol, Wurzburg, Germany
[10] Univ Antwerp, Antwerp Univ Hosp, Dept Gastroenterol Hepatol, Lab Expt Med & Paediat, Antwerp, Belgium
[11] Cambridge Univ Natl Hlth Serv Fdn Trust, Cambridge Natl Inst Hlth & Care Res Biomed Res Ct, Dept Med, Liver Unit, Cambridge, England
[12] Univ Lisbon, Fac Med, Univ Clin Gastrenterol, Lisbon, Portugal
[13] Sorbonne Univ, Pitie Salpetriere Hosp, Publ Assistance Hosp Paris, Inst Cardiometab & Nutr, Paris, France
[14] Univ Bern, Dept Biomed Res, Hepatol, Bern, Switzerland
[15] Nordic Biosci, Herlev, Denmark
[16] Eli Lilly, Lilly Res Labs, Indianapolis, IN USA
[17] Oxford Univ Hosp, Oxford Natl Inst Hlth & Care Res Biomed Res Ctr, Dept Gastroenterol & Hepatol, Oxford, England
[18] Univ Oxford, Oxford Natl Inst Hlth & Care Res Biomed Res Ctr, Dept Med, Oxford, England
[19] Univ Oxford, Radcliffe Dept Med, Oxford, England
[20] Univ Helsinki, Dept Med, Helsinki Univ Hosp, Helsinki, Finland
[21] Minerva Fdn, Inst Med Res, Helsinki, Finland
[22] Marques de Valdecilla Univ Hosp, Valdecilla Hlth Res Inst, Gastroenterol & Hepatol Dept, Santander, Spain
[23] SomaLogic, Boulder, CO USA
[24] AstraZeneca, Cardiovasc Renal Metab Regulatory Affairs, Molndal, Sweden
[25] Pfizer, Clin Dev & Operat, Lake Mary, FL USA
[26] Novartis Pharmaceut, E Hanover, NJ USA
[27] Linkoping Univ, Dept Hlth Med & Caring Sci, Linkoping, Sweden
[28] Univ Nottingham, Nottingham Univ Hosp NHS Trust, Nottingham Digest Dis Ctr,Sch Med, Natl Inst Hlth & Care Res,Nottingham Biomed Res C, Nottingham, England
[29] Univ Med Ctr Mainz, Dept Med, Metab Liver Res Program, Mainz, Germany
[30] Univ Turin, Dept Med Sci, Div Gastrohepatol, City Hlth & Sci Turin, Turin, Italy
[31] Univ Seville, Virgen Rocio Univ Hosp, Inst Biomed Seville, Dept Med,Digest Dis, Seville, Spain
[32] Newcastle Upon Tyne Hosp Natl Hlth Serv Trust, Newcastle Natl Inst Hlth & Care Res, Biomed Res Ctr, Newcastle Upon Tyne, England
来源
LANCET GASTROENTEROLOGY & HEPATOLOGY | 2023年 / 8卷 / 08期
关键词
SIMPLE NONINVASIVE INDEX; PROSPECTIVE DERIVATION; SCORE; VALIDATION; PREDICT; CURVES; SYSTEM; NAFLD; PANEL; NASH;
D O I
10.1016/S2468-1253(23)00017-1
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background The reference standard for detecting non-alcoholic steatohepatitis (NASH) and staging fibrosis-liver biopsy-is invasive and resource intensive. Non-invasive biomarkers are urgently needed, but few studies have compared these biomarkers in a single cohort. As part of the Liver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS) project, we aimed to evaluate the diagnostic accuracy of 17 biomarkers and multimarker scores in detecting NASH and clinically significant fibrosis in patients with non-alcoholic fatty liver disease (NAFLD) and identify their optimal cutoffs as screening tests in clinical trial recruitment. Methods This was a comparative diagnostic accuracy study in people with biopsy-confirmed NAFLD from 13 countries across Europe, recruited between Jan 6, 2010, and Dec 29, 2017, from the LITMUS metacohort of the prospective European NAFLD Registry. Adults (aged >= 18 years) with paired liver biopsy and serum samples were eligible; those with excessive alcohol consumption or evidence of other chronic liver diseases were excluded. The diagnostic accuracy of the biomarkers was expressed as the area under the receiver operating characteristic curve (AUC) with liver histology as the reference standard and compared with the fibrosis-4 index for liver fibrosis (FIB-4) in the same subgroup. Target conditions were the presence of NASH with clinically significant fibrosis (ie, at-risk NASH; NAFLD Activity Score >= 4 and F >= 2) or the presence of advanced fibrosis (F >= 3), analysed in all participants with complete data. We identified thresholds for each biomarker for reducing the number of biopsy-based screen failures when recruiting people with both NASH and clinically significant fibrosis for future trials. Findings Of 1430 participants with NAFLD in the LITMUS metacohort with serum samples, 966 (403 women and 563 men) were included after all exclusion criteria had been applied. 335 (35%) of 966 participants had biopsy-confirmed NASH and clinically significant fibrosis and 271 (28%) had advanced fibrosis. For people with NASH and clinically significant fibrosis, no single biomarker or multimarker score significantly reached the predefined AUC 0 center dot 80 acceptability threshold (AUCs ranging from 0 center dot 61 [95% CI 0 center dot 54-0 center dot 67] for FibroScan controlled attenuation parameter to 0 center dot 81 [0 center dot 75-0 center dot 86] for SomaSignal), with accuracy mostly similar to FIB-4. Regarding detection of advanced fibrosis, SomaSignal (AUC 0 center dot 90 [95% CI 0 center dot 86-0 center dot 94]), ADAPT (0 center dot 85 [0 center dot 81-0 center dot 89]), and FibroScan liver stiffness measurement (0 center dot 83 [0 center dot 80-0 center dot 86]) reached acceptable accuracy. With 11 of 17 markers, histological screen failure rates could be reduced to 33% in trials if only people who were marker positive had a biopsy for evaluating eligibility. The best screening performance for NASH and clinically significant fibrosis was observed for SomaSignal (number needed to test [NNT] to find one true positive was four [95% CI 4-5]), then ADAPT (six [5-7]), MACK-3 (seven [6-8]), and PRO-C3 (nine [7-11]). Interpretation None of the single markers or multimarker scores achieved the predefined acceptable AUC for replacing biopsy in detecting people with both NASH and clinically significant fibrosis. However, several biomarkers could be applied in a prescreening strategy in clinical trial recruitment. The performance of promising markers will be further evaluated in the ongoing prospective LITMUS study cohort.
引用
收藏
页码:714 / 725
页数:12
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