基于fibroscan的评分系统用于缩小非酒精性脂肪性肝病合并症的风险组

Kouichi Miura, Hiroshi Maeda, Naoki Morimoto, Shunji Watanabe, Mamiko Tsukui, Yoshinari Takaoka, Hiroaki Nomoto, Rie Goka, Kazuhiko Kotani, Hironori Yamamoto
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引用次数: 5

摘要

背景:振动控制瞬时弹性成像(VCTE)被提议作为评估非酒精性脂肪性肝病(NAFLD)患者在纤维化-4 (FIB-4)指数分类后肝纤维化的第二步检查。最近,基于vcte的评分系统,包括纤维扫描- ast (FAST)、Agile 3+和Agile 4,出现用于确定NAFLD的状态。然而,这些评分系统在缩小NAFLD合并症高危人群(包括肝细胞癌(HCC)和食管胃静脉曲张(EGV))中的意义尚不清楚。目的:阐明基于vcte评分系统对缩小NAFLD合并症高危人群的意义。方法:我们进行了一项横断面研究,以调查基于vcte的评分系统和其他纤维化标志物对缩小NAFLD患者高危组的有用性。采用FIB-4指数进行首次分诊。根据已发表的数据对FAST、Agile 3+和Agile 4的风险组进行分层。191例NAFLD患者中,HCC和EGV患者分别为26例(14%)和25例(13%)。结果:当使用1.3作为临界值时,FIB-4指数将风险组缩小到120例,其中包括所有HCC和/或EGV患者。Agile 3+的高风险组随后会缩小风险组。此阶段HCC和EGV的患病率分别为33%(26/80)和31%(25/80)。为了进一步缩小EGV, Agile 4将EGV患者汇总为43例,其中23例(53%)为EGV。FAST未能缩小合并合并症患者的风险组。当FIB-4指数的临界值为2.6时,3例HCC患者和2例EGV患者在第一次分诊时被遗漏。结论:Agile 3+和Agile 4有助于缩小NAFLD患者组,其中可能有HCC和/或EGV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Utility of FibroScan-based scoring systems to narrow the risk group of nonalcoholic fatty liver disease with comorbidities.

Utility of FibroScan-based scoring systems to narrow the risk group of nonalcoholic fatty liver disease with comorbidities.

Utility of FibroScan-based scoring systems to narrow the risk group of nonalcoholic fatty liver disease with comorbidities.

Background: Vibration-controlled transient elastography (VCTE) is proposed as a second step of examination to assess liver fibrosis in patients with nonalcoholic fatty liver disease (NAFLD) after triaging by the fibrosis-4 (FIB-4) index. Recently, VCTE-based scoring systems, including FibroScan-AST (FAST), Agile 3+, and Agile 4, emerged to determine the status of NAFLD. However, the significance of these scoring systems remains unknown in narrowing the high-risk group of NAFLD patients with comorbidities, including hepatocellular carcinoma (HCC) and esophagogastric varices (EGV).

Aim: To clarify the significance of VCTE-based scoring systems to narrow the high-risk group of NAFLD patients with comorbidities.

Methods: We performed a cross-sectional study to investigate the usefulness of VCTE-based scoring systems and other fibrosis markers to narrow the high-risk group of patients with NAFLD. FIB-4 index was used for the first triage. Risk groups of FAST, Agile 3+, and Agile 4 were stratified according to the published data. Among the 191 patients with NAFLD, there were 26 (14%) and 25 patients (13%) with HCC and EGV, respectively.

Results: When 1.3 was used as a cutoff value, the FIB-4 index narrowed the risk group to 120 patients, in which all patients with HCC and/or EGV were included. High risk group of Agile 3+ could subsequently narrow the risk group. The prevalence of HCC and EGV at this step were 33% (26/80) and 31% (25/80), respectively. In further narrowing of EGV, Agile 4 aggregated the patients with EGV into 43 patients, of whom 23 (53%) had EGV. FAST failed to narrow the risk group of patients with comorbidities. When 2.6 was used as a cutoff value of the FIB-4 index, three patients with HCC and two patients with EGV were missed at the first triage.

Conclusion: Agile 3+ and Agile 4 are useful to narrow the NAFLD patient group, in which patients may have HCC and/or EGV.

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