Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore.
Dig Dis Sci. 2023 Dec;68(12):4485-4498. doi: 10.1007/s10620-023-08085-y. Epub 2023 Sep 21.
Non-invasive tests (NITs) are useful to assess advanced fibrosis (AF) in nonalcoholic fatty liver disease (NAFLD). Data from Asian countries suggest that these tests have poor performance. We aimed to assess diagnostic accuracy of established thresholds of biomarker-based NITs and Transient Elastography (TE) in identifying AF and evaluated the utility of a two-step test approach.
Biopsy-proven 641 NAFLD patients (55.2% males, median age 42 years) were included from three different centers of Asia. AF (≥ F3) was identified as per histological staging (24.8%).
TE had the highest area under the receiver operating characteristic curve (AUROC) 0.82 (0.79-0.86), and all other biomarker-based NITs had low AUROC (< 0.7). NITs performed poorly at established thresholds. The combination of NITs utilizing liver stiffness measurement (LSM) and biomarkers, Agile 3+ and FAST, demonstrated acceptable diagnostic accuracy (AUROC 0.82 and 0.78, respectively), but none were superior to LSM alone. LSM measured using appropriate M and XL probes remained accurate regardless of body mass index (BMI); NFS and APRI scores were less accurate at higher BMI ranges. A two-step approach using NFS rule-out criteria (< - 2.97 to rule out) followed by LSM (< 7.3 kPa to rule out and ≥ 12.7 kPa to rule in) correctly classified 62.4% of patients, with only 10.2% of patients incorrectly classified.
NITs have not been validated to identify AF in the Asian NAFLD population, and internationally accepted thresholds yield high false-negative rates. LSM and LSM-based combination tests remain the most accurate.
非侵入性检测(NITs)可用于评估非酒精性脂肪性肝病(NAFLD)中的晚期纤维化(AF)。来自亚洲国家的数据表明,这些检测的性能较差。我们旨在评估基于生物标志物的 NIT 和瞬时弹性成像(TE)的既定阈值识别 AF 的诊断准确性,并评估两步测试方法的实用性。
从亚洲的三个不同中心纳入了 641 例经活检证实的 NAFLD 患者(55.2%为男性,中位年龄 42 岁)。根据组织学分期(24.8%)确定 AF(≥F3)。
TE 的受试者工作特征曲线下面积(AUROC)最高为 0.82(0.79-0.86),而所有其他基于生物标志物的 NIT 的 AUROC 均较低(<0.7)。既定阈值下,NIT 表现不佳。利用肝硬度测量(LSM)和生物标志物组合的 NITs(Agile 3+和 FAST)显示出可接受的诊断准确性(AUROC 分别为 0.82 和 0.78),但没有一种优于单独的 LSM。无论体重指数(BMI)如何,使用适当的 M 和 XL 探头测量的 LSM 仍然准确;在较高的 BMI 范围内,NFS 和 APRI 评分的准确性较低。使用 NFS 排除标准(<-2.97 排除)和 LSM(<7.3 kPa 排除且≥12.7 kPa 纳入)的两步方法正确分类了 62.4%的患者,只有 10.2%的患者分类错误。
NITs 尚未在亚洲 NAFLD 人群中得到验证,以识别 AF,国际上接受的阈值会产生高的假阴性率。LSM 和基于 LSM 的组合测试仍然是最准确的。