The use of ELF in predicting liver fibrosis prevalence and fibrosis progression in the general population.

IF 1.6 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY
Kustaa Saarinen, Martti Färkkilä, Antti Jula, Iris Erlund, Terhi Vihervaara, Annamari Lundqvist, Fredrik Åberg
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引用次数: 0

Abstract

Background and aims: The enhanced liver fibrosis (ELF) test has good discrimination performance in detecting advanced liver fibrosis. The chronic liver disease (CLivD) risk score based on clinical data accurately predicts risk for future severe liver disease. Considering the ELF test as a surrogate marker for liver fibrosis, we analyzed predictors of elevated ELF (eELF) and its change.

Methods: The study cohort consisted of Finnish general population-based health surveys Health2000 and a follow-up study 10 years later Health2011 with 6084 and 2937 individuals, respectively with phenotype and ELF data. eELF was defined as ELF ≥ 9.8, and clinically relevant fibrosis progression as an ELF change ≥0.6. CLivD risk score was calculated at baseline. Analyses were age-adjusted.

Results: Obesity measures and diabetes predicted eELF at baseline. Only waist-hip ratio (WHR) could predict clinically relevant fibrosis progression over the follow-up consistently among men and women (OR 1.35 and 1.41, respectively). High-risk alcohol use was a significant risk factor for eELF only among men (OR 1.72, p = 0.049), and it did not predict fibrosis progression in either sex. Although elevated transaminases were associated with eELF, in most individuals with eELF they were within reference limits. Increased CLivD scores correlated with baseline and the change of ELF values over the 10-year follow-up independent of baseline ELF (p < 0.001).

Conclusions: Liver fibrosis progression is difficult to predict based on single risk factors or liver enzymes. ELF had limited value to predict fibrosis progression. The CLivD score, based on multiple risk factors, predicted both occurrence of baseline eELF and its progression over a 10-year follow-up.

ELF在预测一般人群肝纤维化患病率和纤维化进展中的应用
背景与目的:增强肝纤维化(enhanced liver fibrosis, ELF)试验在检测晚期肝纤维化方面具有良好的鉴别性能。基于临床数据的慢性肝病(CLivD)风险评分可以准确预测未来严重肝病的风险。考虑到ELF测试作为肝纤维化的替代标志物,我们分析了ELF升高的预测因素及其变化。方法:研究队列包括芬兰基于一般人群的健康调查Health2000和10年后的随访研究Health2011,分别有6084人和2937人,分别有表型和ELF数据。eELF定义为ELF≥9.8,临床相关纤维化进展定义为ELF变化≥0.6。在基线计算CLivD风险评分。分析经过年龄调整。结果:肥胖测量和糖尿病预测基线eELF。只有腰臀比(WHR)可以在随访期间一致地预测男性和女性的临床相关纤维化进展(OR分别为1.35和1.41)。高风险酒精使用仅在男性中是eELF的重要危险因素(OR 1.72, p = 0.049),并且它不能预测任何性别的纤维化进展。虽然转氨酶升高与eELF相关,但在大多数eELF患者中,转氨酶升高在参考范围内。在独立于基线ELF的10年随访中,CLivD评分的增加与基线和ELF值的变化相关(p)。结论:基于单一危险因素或肝酶难以预测肝纤维化的进展。ELF预测纤维化进展的价值有限。CLivD评分基于多种危险因素,预测基线eELF的发生及其在10年随访期间的进展。
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来源期刊
CiteScore
3.40
自引率
5.30%
发文量
222
审稿时长
3-8 weeks
期刊介绍: The Scandinavian Journal of Gastroenterology is one of the most important journals for international medical research in gastroenterology and hepatology with international contributors, Editorial Board, and distribution
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