Epidemiology and Data Science, Amsterdam Public Health, University of Amsterdam, Amsterdam, Netherlands.
Laboratoire Hémodynamique, Interaction Fibrose et Invasivité Tumorales Hépatiques, University Paris Research, Structure Fédérative de Recherche, Interactions Cellulaires et Applications Thérapeutiques 4208, University of Angers, Angers, France; Department of Hepato-Gastroenterology and Digestive Oncology, University Hospital of Angers, Angers, France.
Lancet Gastroenterol Hepatol. 2023 Aug;8(8):714-725. doi: 10.1016/S2468-1253(23)00017-1. Epub 2023 Mar 21.
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.
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.
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]).
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.
The Innovative Medicines Initiative 2 Joint Undertaking.
非酒精性脂肪性肝炎(NASH)和纤维化分期的参考标准——肝活检——是一种侵入性和资源密集型的方法。因此,我们迫切需要非侵入性生物标志物,但很少有研究在单一队列中比较这些生物标志物。作为肝脏研究:在脂肪性肝炎中检验标志物实用性(LITMUS)项目的一部分,我们旨在评估 17 种生物标志物和多标志物评分在检测非酒精性脂肪性肝病(NAFLD)患者 NASH 和临床显著纤维化中的诊断准确性,并确定其在临床试验招募中的最佳截断值作为筛查试验。
这是一项比较诊断准确性的研究,纳入了来自欧洲 13 个国家的活检确诊的 NAFLD 患者,这些患者于 2010 年 1 月 6 日至 2017 年 12 月 29 日从 LITMUS 前瞻性欧洲 NAFLD 注册研究的亚队列中招募。符合条件的参与者为年龄≥18 岁且有配对的肝活检和血清样本的成年人;排除有过量饮酒或其他慢性肝脏疾病证据的患者。以肝组织学为参考标准,通过受试者工作特征曲线下面积(AUC)来表达生物标志物的诊断准确性,并与同一亚组中的纤维化-4 指数(FIB-4)进行比较。在所有有完整数据的参与者中,分析的目标条件是存在有临床意义的纤维化(即高危 NASH;NAFLD 活动评分≥4 且 F≥2)或存在晚期纤维化(F≥3)。我们确定了每个生物标志物的阈值,以减少招募同时患有 NASH 和临床显著纤维化的人群进行未来试验时的肝活检筛查失败的数量。
在 LITMUS 元队列中有 1430 名 NAFLD 患者的血清样本,应用所有排除标准后,有 966 名(403 名女性和 563 名男性)参与者符合条件。在这 966 名参与者中,有 335 名(35%)患有活检证实的 NASH 和临床显著纤维化,有 271 名(28%)患有晚期纤维化。对于患有 NASH 和临床显著纤维化的患者,没有单个生物标志物或多标志物评分显著达到预先设定的 AUC 0.80 可接受性阈值(AUC 范围从 FibroScan 控制衰减参数的 0.61[95%CI 0.54-0.67]到 SomaSignal 的 0.81[0.75-0.86]),其准确性与 FIB-4 大致相似。关于检测晚期纤维化,SomaSignal(AUC 0.90[95%CI 0.86-0.94])、ADAPT(0.85[0.81-0.89])和 FibroScan 肝硬度测量(0.83[0.80-0.86])达到了可接受的准确性。如果只有标志物阳性的患者进行活检以评估其是否符合入组条件,有 11 种标志物可将肝活检的筛选失败率降低至 33%。对于同时患有 NASH 和临床显著纤维化的患者,SomaSignal(需要检测的人数[NNT]为 4[95%CI 4-5])、ADAPT(6[5-7])、MACK-3(7[6-8])和 PRO-C3(9[7-11])的筛查性能最佳。
在检测同时患有 NASH 和临床显著纤维化的患者时,没有一种单一的标志物或多标志物评分达到了预先设定的可接受的 AUC 阈值,以替代肝活检。然而,一些生物标志物可以应用于临床试验招募中的预筛选策略。有前途的标志物的性能将在正在进行的前瞻性 LITMUS 研究队列中进一步评估。
创新药物倡议 2 联合事业。