Suppr超能文献

肝脏诊断的精准性:MASLD诊断中各亚组的不同准确性及可变阈值的必要性

Precision in Liver Diagnosis: Varied Accuracy Across Subgroups and the Need for Variable Thresholds in Diagnosis of MASLD.

作者信息

Vali Yasaman, van Dijk Anne-Marieke, Lee Jenny, Boursier Jerome, Ratziu Vlad, Yunis Carla, Schattenberg Jörn M, Valenti Luca, Gomez Manuel Romero, Schuppan Detlef, Petta Salvatore, Allison Mike, Hartman Mark L, Porthan Kimmo, Dufour Jean-Francois, Bugianesi Elisabetta, Gastadelli Amalia, Derdak Zoltan, Fournier-Poizat Celine, Shumbayawonda Elizabeth, Kalutkiewicz Michael, Yki-Jarvinen Hannele, Ekstedt Mattias, Geier Andreas, Trylesinski Aldo, Francque Sven, Brass Clifford, Pavlides Michael, Holleboom Adriaan G, Nieuwdorp Max, Anstee Quentin M, Bossuyt Patrick M

机构信息

Department of Epidemiology and Data Science, Amsterdam University Medical Centres, Amsterdam, The Netherlands.

Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Liver Int. 2025 Feb;45(2):e16240. doi: 10.1111/liv.16240.

Abstract

BACKGROUND AND AIMS

The performance of non-invasive liver tests (NITs) is known to vary across settings and subgroups. We systematically evaluated whether the performance of three NITs in detecting advanced fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) varies with age, sex, body mass index (BMI), type 2 diabetes mellitus (T2DM) status or liver enzymes.

METHODS

Data from 586 adult LITMUS Metacohort participants with histologically characterised MASLD were included. The diagnostic performance of the Fibrosis-4 Index (FIB-4), enhanced liver fibrosis (ELF) and vibration-controlled transient elastography liver stiffness measurement (VCTE LSM) was evaluated. Performance was expressed as the area under the receiver operating characteristics curve (AUC). Thresholds for detecting advanced fibrosis (≥F3) were calculated for each NIT for fixed (high) sensitivity, specificity and predictive values.

RESULTS

Differences in AUC between all subgroups were small and statistically not significant, indicating comparable performance in detecting ≥F3, irrespective of these clinical factors. However, different thresholds were needed to achieve the same level of accuracy with each test. For example, for a fixed sensitivity and specificity, the thresholds for all three NITs were higher in patients with T2DM. Effects for sex, age and liver enzymes were less pronounced.

CONCLUSIONS

Performance of the selected NITs in detecting advanced liver fibrosis does not vary substantially with clinical characteristics. However, different thresholds have to be selected to achieve the same sensitivity, specificity and predictive values in the respective subgroups. Large prospective studies are called for to study NIT accuracy considering multiple patient characteristics.

摘要

背景与目的

已知非侵入性肝脏检测(NITs)的性能在不同环境和亚组中存在差异。我们系统地评估了三种NITs在检测代谢功能障碍相关脂肪性肝病(MASLD)患者的晚期纤维化时,其性能是否随年龄、性别、体重指数(BMI)、2型糖尿病(T2DM)状态或肝酶而变化。

方法

纳入了586名具有组织学特征的MASLD的成人LITMUS Meta队列参与者的数据。评估了纤维化-4指数(FIB-4)、增强肝纤维化(ELF)和振动控制瞬时弹性成像肝脏硬度测量(VCTE LSM)的诊断性能。性能以受试者工作特征曲线(AUC)下的面积表示。针对每个NIT,计算了固定(高)敏感性、特异性和预测值时检测晚期纤维化(≥F3)的阈值。

结果

所有亚组之间的AUC差异很小且无统计学意义,表明无论这些临床因素如何,在检测≥F3方面性能相当。然而,每种检测需要不同的阈值才能达到相同的准确性水平。例如,对于固定的敏感性和特异性,T2DM患者中所有三种NITs的阈值都更高。性别、年龄和肝酶的影响不太明显。

结论

所选NITs在检测晚期肝纤维化方面的性能不会因临床特征而有显著差异。然而,必须选择不同的阈值才能在各个亚组中实现相同的敏感性、特异性和预测值。需要开展大型前瞻性研究,考虑多种患者特征来研究NIT的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b599/11771619/456647f246d0/LIV-45-0-g002.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验