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Ann Hepatol. 2024 Jan-Feb;29(1):101133. doi: 10.1016/j.aohep.2023.101133. Epub 2023 Jun 24.
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Clin Gastroenterol Hepatol. 2024 Jan;22(1):197-199.e3. doi: 10.1016/j.cgh.2023.05.019. Epub 2023 May 26.
3
Magnetic resonance elastography-based prediction model for hepatic decompensation in NAFLD: A multicenter cohort study.基于磁共振弹性成像的非酒精性脂肪性肝病肝失代偿预测模型:一项多中心队列研究。
Hepatology. 2023 Dec 1;78(6):1858-1866. doi: 10.1097/HEP.0000000000000470. Epub 2023 May 22.
4
Liver stiffness thresholds to predict disease progression and clinical outcomes in bridging fibrosis and cirrhosis.肝硬度值预测桥接纤维化和肝硬化患者疾病进展和临床结局的价值。
Gut. 2023 Mar;72(3):581-589. doi: 10.1136/gutjnl-2022-327777. Epub 2022 Sep 9.
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AASLD Practice Guidance on the clinical assessment and management of nonalcoholic fatty liver disease.美国肝病研究学会非酒精性脂肪性肝病临床评估与管理实践指南
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Cell Metab. 2022 Jul 5;34(7):969-977.e2. doi: 10.1016/j.cmet.2022.05.003. Epub 2022 Jun 3.
7
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8
Mortality Outcomes by Fibrosis Stage in Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-analysis.非酒精性脂肪性肝病纤维化分期的死亡率结局:系统评价和荟萃分析。
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9
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Therap Adv Gastroenterol. 2022 Apr 29;15:17562848221093869. doi: 10.1177/17562848221093869. eCollection 2022.
10
Clinical characteristics, surveillance, treatment allocation, and outcomes of non-alcoholic fatty liver disease-related hepatocellular carcinoma: a systematic review and meta-analysis.非酒精性脂肪性肝病相关肝细胞癌的临床特征、监测、治疗分配和结局:系统评价和荟萃分析。
Lancet Oncol. 2022 Apr;23(4):521-530. doi: 10.1016/S1470-2045(22)00078-X. Epub 2022 Mar 4.

MEFIB-Index 和 MAST-Score 在代谢相关脂肪性肝病肝失代偿评估中的应用:个体参与者数据荟萃分析。

MEFIB-Index and MAST-Score in the assessment of hepatic decompensation in metabolic dysfunction-associated steatosis liver disease-Individual participant data meta-analyses.

机构信息

MASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.

Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.

出版信息

Aliment Pharmacol Ther. 2023 Nov;58(9):856-865. doi: 10.1111/apt.17707. Epub 2023 Sep 11.

DOI:10.1111/apt.17707
PMID:37694993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10901230/
Abstract

BACKGROUND

There are limited data regarding the longitudinal association between MEFIB-Index (MRE combined with FIB-4) versus MAST-Score (MRI-aspartate aminotransferase) and hepatic decompensation.

AIM

To examine the longitudinal association between MEFIB-Index versus MAST-Score in predicting hepatic decompensation in patients with metabolic dysfunction-associated steatotic liver disease (MASLD).

METHODS

This was a longitudinal, retrospective analysis of subjects from United States, Japan, and Turkey who underwent a baseline MRE and MRI-PDFF and were followed for hepatic decompensation. Cox-proportional hazard analyses were used to assess the association between MEFIB-Index versus MAST-Score with a composite primary outcome (hepatic decompensation) defined as ascites, hepatic encephalopathy, and varices needing treatment.

RESULTS

This meta-analysis of individual participants (IPDMA) included 454 patients (58% women) with a mean (±SD) age of 56.0 (±13.5) years. The MEFIB-Index (MRE ≥3.3 kPa + FIB 4 ≥1.6) and MAST-Score (>0.242) were positive for 34% and 9% of the sample, respectively. At baseline, 23 patients met criteria for hepatic decompensation. Among 297 patients with available longitudinal data with a median (IQR) of 4.2 (5.0) years of follow-up, 25 incident cases met criteria for hepatic decompensation. A positive MEFIB-Index [HR = 49.22 (95% CI: 6.23-388.64, p < 0.001)] and a positive MAST-Score [HR = 3.86 (95% CI: 1.46-10.17, p < 0.001)] were statistically significant predictors of the incident hepatic decompensation. MEFIB-Index (c-statistic: 0.89, standard error (SE) = 0.02) was statistically superior to the MAST-Score (c-statistic: 0.81, SE = 0.03) (p < 0.0001) in predicting hepatic decompensation.

CONCLUSION

A combination of MRI-based biomarker and blood tests, MEFIB-Index and MAST-Score can predict the risk of hepatic decompensation in patients with MASLD.

摘要

背景

关于 MEFIB-Index(磁共振弹性成像结合 FIB-4)与 MAST-Score(磁共振肝纤维化与脂肪定量技术-天门冬氨酸氨基转移酶)在预测肝失代偿方面的纵向关联,目前数据有限。

目的

研究 MEFIB-Index 与 MAST-Score 在预测代谢相关脂肪性肝病合并肝纤维化(MAFLD)患者肝失代偿方面的纵向关联。

方法

这是一项在美国、日本和土耳其进行的纵向、回顾性分析,纳入了接受基线磁共振弹性成像和磁共振质子密度脂肪分数测定并随访肝失代偿的受试者。采用 Cox 比例风险分析评估 MEFIB-Index 与 MAST-Score 与复合主要结局(腹水、肝性脑病和需要治疗的静脉曲张)之间的关联。

结果

本项个体参与者荟萃分析(IPDMA)纳入了 454 名(58%为女性)平均(±标准差)年龄为 56.0(±13.5)岁的患者。MEFIB-Index(磁共振弹性成像≥3.3kPa+FIB-4≥1.6)和 MAST-Score(>0.242)的阳性率分别为 34%和 9%。基线时,23 例患者符合肝失代偿标准。在 297 例具有中位(IQR)4.2(5.0)年随访时间的纵向数据可用的患者中,有 25 例发生肝失代偿事件。MEFIB-Index 阳性[风险比(HR)=49.22(95%可信区间:6.23-388.64,p<0.001)]和 MAST-Score 阳性[HR=3.86(95%可信区间:1.46-10.17,p<0.001)]是肝失代偿发生的统计学显著预测因素。MEFIB-Index(C 统计量:0.89,标准误(SE)=0.02)在预测肝失代偿方面统计学上优于 MAST-Score(C 统计量:0.81,SE=0.03)(p<0.0001)。

结论

基于 MRI 的生物标志物和血液检测的联合应用,MEFIB-Index 和 MAST-Score 可预测 MAFLD 患者肝失代偿的风险。