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Biomarkers for staging fibrosis and non-alcoholic steatohepatitis in non-alcoholic fatty liver disease (the LITMUS project): a comparative diagnostic accuracy study
The Lancet Gastroenterology & Hepatology ( IF 35.7 ) Pub Date : 2023-03-21 , DOI: 10.1016/s2468-1253(23)00017-1
Yasaman Vali 1 , Jenny Lee 1 , Jerome Boursier 2 , Salvatore Petta 3 , Kristy Wonders 4 , Dina Tiniakos 5 , Pierre Bedossa 4 , Andreas Geier 6 , Sven Francque 7 , Mike Allison 8 , Georgios Papatheodoridis 9 , Helena Cortez-Pinto 10 , Raluca Pais 11 , Jean-Francois Dufour 12 , Diana Julie Leeming 13 , Stephen A Harrison 14 , Yu Chen 15 , Jeremy F Cobbold 16 , Michael Pavlides 17 , Adriaan G Holleboom 18 , Hannele Yki-Jarvinen 19 , Javier Crespo 20 , Morten Karsdal 13 , Rachel Ostroff 21 , Mohammad Hadi Zafarmand 1 , Richard Torstenson 22 , Kevin Duffin 15 , Carla Yunis 23 , Clifford Brass 24 , Mattias Ekstedt 25 , Guruprasad P Aithal 26 , Jörn M Schattenberg 27 , Elisabetta Bugianesi 28 , Manuel Romero-Gomez 29 , Vlad Ratziu 11 , Quentin M Anstee 30 , Patrick M Bossuyt 1 ,
Affiliation  

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 thres holds 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 0·80 acceptability threshold (AUCs ranging from 0·61 [95% CI 0·54–0·67] for FibroScan controlled attenuation parameter to 0·81 [0·75–0·86] for SomaSignal), with accuracy mostly similar to FIB-4. Regarding detection of advanced fibrosis, SomaSignal (AUC 0·90 [95% CI 0·86–0·94]), ADAPT (0·85 [0·81–0·89]), and FibroScan liver stiffness measurement (0·83 [0·80–0·86]) 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.

Funding

The Innovative Medicines Initiative 2 Joint Undertaking.



中文翻译:

非酒精性脂肪肝病中纤维化和非酒精性脂肪性肝炎分期的生物标志物(LITMUS 项目):比较诊断准确性研究

背景

检测非酒精性脂肪性肝炎 (NASH) 和纤维化分期的参考标准(肝活检)是侵入性的且需要大量资源。迫切需要非侵入性生物标志物,但很少有研究在单个队列中比较这些生物标志物。作为肝脏调查:测试脂肪性肝炎标记物效用 (LITMUS) 项目的一部分,我们旨在评估 17 种生物标记物和多标记物评分在检测非酒精性脂肪性肝病 (NAFLD) 和临床显着纤维化方面的诊断准确性。确定其最佳截止点作为临床试验招募中的筛选测试。

方法

这是一项针对来自欧洲 13 个国家的活检确诊 NAFLD 患者的诊断准确性比较研究,研究对象于 2010 年 1 月 6 日至 2017 年 12 月 29 日期间从欧洲 NAFLD 前瞻性登记处的 LITMUS 荟萃队列中招募。具有配对肝活检和血清样本的成年人(年龄≥18岁)符合资格;那些过度饮酒或有其他慢性肝病证据的人被排除在外。生物标志物的诊断准确性以肝组织学为参考标准的受试者工作特征曲线下面积(AUC)表示,并与同一亚组的肝纤维化Fibrosis-4指数(FIB-4)进行比较。目标条件是存在具有临床显着纤维化的NASH(即,有风险的NASH;NAFLD活动评分≥4且F≥2)或存在晚期纤维化(F≥3),在所有具有完整数据的参与者中进行分析。当招募患有 NASH 和临床显着纤维化的患者进行未来试验时,我们确定了每种生物标志物的阈值,以减少基于活检的筛查失败的数量。

发现

在 LITMUS 荟萃队列中,有 1430 名患有 NAFLD 的血清样本参与者,在应用所有排除标准后,纳入了 966 名(403 名女性和 563 名男性)。966 名参与者中有 335 名 (35%) 患有经活检证实的 NASH 和临床显着的纤维化,271 名 (28%) 患有晚期纤维化。对于患有 NASH 和临床显着纤维化的患者,没有单一生物标志物或多标志物评分显着达到预定义的 AUC 0·80 可接受阈值(FibroScan 控制的衰减参数的 AUC 范围为 0·61 [95% CI 0·54–0·67] SomaSignal 为 0·81 [0·75–0·86]),精度与 FIB-4 基本相似。关于晚期纤维化的检测,SomaSignal (AUC 0·90 [95% CI 0·86–0·94])、ADAPT (0·85 [0·81–0·89]) 和 FibroScan 肝脏硬度测量 (0· 83 [0·80–0·86])达到了可接受的精度。对于 17 种标记物中的 11 种,如果只有标记物呈阳性的人进行活检来评估资格,则试验中的组织学筛查失败率可降低至 33%。SomaSignal 观察到 NASH 和临床显着纤维化的最佳筛查性能(检测 [NNT] 发现 1 个真阳性所需的数量为 4 个 [95% CI 4-5]),然后是 ADAPT(6 个 [5-7]), MACK-3(七个 [6–8])和 PRO-C3(九个 [7–11])。

解释

在检测患有 NASH 和临床显着纤维化的患者时,单一标志物或多标志物评分均未达到替代活检的预定可接受的 AUC。然而,一些生物标志物可以应用于临床试验招募的预筛选策略。有希望的标记物的性能将在正在进行的前瞻性 LITMUS 研究队列中得到进一步评估。

资金

创新药物倡议 2 联合行动。

更新日期:2023-03-21
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