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新一代用于非酒精性脂肪性肝病(MASLD)的肝纤维化无创检测,其准确性有所提高。

A new generation of non-invasive tests of liver fibrosis with improved accuracy in MASLD.

作者信息

Calès Paul, Canivet Clémence M, Costentin Charlotte, Lannes Adrien, Oberti Frédéric, Fouchard Isabelle, Hunault Gilles, de Lédinghen Victor, Boursier Jérôme

机构信息

Service d'Hépato-Gastroentérologie et Oncologie Digestive, Centre Hospitalier Universitaire d'Angers, Angers, France; Laboratoire HIFIH, UPRES EA3859, SFR 4208, Université d'Angers, Angers, France.

Service d'Hépato-Gastroentérologie et Oncologie Digestive, Centre Hospitalier Universitaire d'Angers, Angers, France; Laboratoire HIFIH, UPRES EA3859, SFR 4208, Université d'Angers, Angers, France.

出版信息

J Hepatol. 2025 May;82(5):794-804. doi: 10.1016/j.jhep.2024.11.049. Epub 2024 Dec 13.

Abstract

BACKGROUND & AIMS: The accuracy of non-invasive tests (NITs) should be ≥80% (EASL recommendation). We aimed to compare the accuracies of the recommended NITs for advanced fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD) and to develop NITs with improved accuracy.

METHODS

A total of 1,051 patients with MASLD were allocated to derivation (n = 637) and validation (n = 414) sets. The main outcome (Kleiner F3+F4) was primarily evaluated by accuracy. Recommended NITs included: FIB-4, Fibrotest, FibroMeter, liver stiffness measurement (LSM by Fibroscan), Elasto-FibroMeter (FibroMeter-LSM combination), and ELF (enhanced liver fibrosis) in 396 patients. We used machine learning-optimized multitargeting to develop new NITs: FIB-9 (including nine common biomarkers), FIB-11 (adding two specialized blood markers) and FIB-12 (adding LSM).

RESULTS

In the whole population, the accuracies of recommended NITs were insufficient: Fibrotest, 68.0%; FIB-4, 71.2%; FibroMeter, 75.1%; LSM, 75.9%; Elasto-FibroMeter, 78.6%. Therefore, new NITs (FIB-9, FIB-11, FIB-12) were developed in the derivation set. In the validation set, AUROCs were: FIB-4, 0.757; Fibrotest, 0.766; FibroMeter, 0.850; LSM, 0.852; FIB-9, 0.863; FIB-11, 0.880; Elasto-FibroMeter, 0.894; FIB-12, 0.912 (p <0.001). The FIB-12 AUROC was superior to the ELF AUROC (0.906 vs. 0.865, p = 0.039). Accuracies were: FIB-4, 68.8%; Fibrotest, 68.6%; LSM, 75.4%; FibroMeter, 76.3%; FIB-9, 78.7%; Elasto-FibroMeter, 79.7%; FIB-11, 80.2%; FIB-12, 83.3% (p <0.001 between all NITs). Scores were segmented by ≥90% sensitivity and specificity cut-offs or NIT match, which individualized subgroups with NIT accuracies ≥80%, e.g. for FIB-9: 85.8% in 68.1% of patients using two cut-offs and 83.2% in 71.7% of patients where FIB-9 agreed with FIB-4.

CONCLUSIONS

Recommended NITs had accuracies <80% for advanced fibrosis in MASLD. Several NIT segmentations individualized subgroups with accuracies ≥80%. New NITs further improved accuracy. The simple FIB-9 (available via a free calculator) provided accuracy equaling or surpassing recommended NITs. FIB-12 outperformed other NITs.

IMPACT AND IMPLICATIONS

Currently recommended non-invasive tests (NITs) have insufficient accuracy (<80%) for the diagnosis of advanced fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD). Therefore, we developed three new NITs with new statistical techniques. Thus, FIB-9 (available via a free calculator), including nine common blood markers, equaled the performance of patented NITs. FIB-11, adding two specialized blood markers, and FIB-12, adding liver stiffness, had accuracy >80%. FIB-12 outperformed all other NITs. FIB-9 is suitable for screening and FIB-11 or FIB-12 for diagnosis.

摘要

背景与目的

非侵入性检测(NITs)的准确性应≥80%(欧洲肝脏研究学会建议)。我们旨在比较推荐的NITs对代谢功能障碍相关脂肪性肝病(MASLD)中晚期肝纤维化的诊断准确性,并开发准确性更高的NITs。

方法

总共1051例MASLD患者被分配至推导组(n = 637)和验证组(n = 414)。主要结局(Kleiner F3+F4)主要通过准确性进行评估。396例患者中推荐的NITs包括:FIB-4、Fibrotest、FibroMeter、肝脏硬度测量(Fibroscan测量LSM)、弹性纤维测量仪(FibroMeter-LSM组合)以及增强肝纤维化(ELF)检测。我们使用机器学习优化的多靶点方法开发新的NITs:FIB-9(包括9种常见生物标志物)、FIB-11(添加两种特殊血液标志物)和FIB-12(添加LSM)。

结果

在总体人群中,推荐的NITs准确性不足:Fibrotest为68.0%;FIB-4为71.2%;FibroMeter为75.1%;LSM为75.9%;弹性纤维测量仪为78.6%。因此,在推导组中开发了新的NITs(FIB-9、FIB-11、FIB-12)。在验证组中,曲线下面积(AUROCs)分别为:FIB-4为0.757;Fibrotest为0.766;FibroMeter为0.850;LSM为0.852;FIB-9为0.863;FIB-11为0.880;弹性纤维测量仪为0.894;FIB-12为0.912(p<0.001)。FIB-12的AUROC优于ELF的AUROC(0.906对0.865,p = 0.039)。准确性分别为:FIB-4为68.8%;Fibrotest为68.6%;LSM为75.4%;FibroMeter为76.3%;FIB-9为78.7%;弹性纤维测量仪为79.7%;FIB-11为80.2%;FIB-12为83.3%(所有NITs之间p<0.001)。通过≥90%的敏感性和特异性截断值或NIT匹配对分数进行分层,确定了NIT准确性≥80%的个体化亚组,例如对于FIB-9:使用两个截断值时,68.1%的患者中为85.8%,FIB-9与FIB-4一致的71.7%的患者中为83.2%。

结论

推荐的NITs对MASLD中晚期肝纤维化的准确性<80%。几种NIT分层确定了准确性≥

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