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基于人群的研究中评估脂肪肝指数识别非酒精性脂肪肝的外部验证。

External validation of the fatty liver index for identifying nonalcoholic fatty liver disease in a population-based study.

机构信息

Department of Gastroenterology and Hepatology, Erasmus MC University Hospital, Rotterdam, The Netherlands.

出版信息

Clin Gastroenterol Hepatol. 2013 Sep;11(9):1201-4. doi: 10.1016/j.cgh.2012.12.031. Epub 2013 Jan 22.

Abstract

BACKGROUND & AIMS: We aimed to validate the fatty liver index (FLI), an algorithm that is based on waist circumference, body mass index, and levels of triglyceride and γ-glutamyltransferase. We calculated its ability to identify fatty liver disease from any cause or nonalcoholic fatty liver disease (NAFLD) in a large population of white elderly persons.

METHODS

We collected ultrasonography and FLI data from participants of the Rotterdam Study from February 2009 to February 2012; 2652 subjects (mean age, 76.3 ± 6.0 years) were interviewed and received a clinical examination that included abdominal ultrasound, analysis of blood samples during fasting, and anthropometric assessment. The ability of the FLI to detect (nonalcoholic) fatty liver was assessed by using area under the receiver operator characteristic (AUROC) curve analysis.

RESULTS

FLI score was associated with NAFLD in multivariable analysis (odds ratio, 1.05; 95% confidence interval [CI], 1.04-1.05; P < .001). FLI identified patients with NAFLD with an AUROC curve of 0.813 (95% CI, 0.797-0.830) and those with fatty liver from any cause with an AUROC curve of 0.807 (95% CI, 0.792-0.823).

CONCLUSIONS

The FLI (an algorithm that is based on waist circumference, body mass index, and levels of triglyceride and γ-glutamyltransferase) accurately identifies NAFLD, confirmed via ultrasonography, in a large, white, elderly population.

摘要

背景与目的

我们旨在验证脂肪肝指数(FLI),这是一种基于腰围、体重指数和甘油三酯及γ-谷氨酰转移酶水平的算法。我们计算了其在一个白人老年人群中识别任何原因引起的脂肪肝或非酒精性脂肪肝(NAFLD)的能力。

方法

我们从 2009 年 2 月至 2012 年 2 月期间的 Rotterdam 研究参与者中收集了超声和 FLI 数据;对 2652 名受试者(平均年龄 76.3±6.0 岁)进行了访谈,并进行了临床检查,包括腹部超声、空腹血液样本分析和人体测量评估。使用受试者工作特征(ROC)曲线下面积(AUROC)分析评估 FLI 检测(非酒精性)脂肪肝的能力。

结果

多变量分析显示 FLI 评分与 NAFLD 相关(比值比,1.05;95%置信区间 [CI],1.04-1.05;P<.001)。FLI 以 0.813(95%CI,0.797-0.830)的 AUROC 曲线识别出 NAFLD 患者,以 0.807(95%CI,0.792-0.823)的 AUROC 曲线识别出任何原因引起的脂肪肝患者。

结论

FLI(一种基于腰围、体重指数和甘油三酯及γ-谷氨酰转移酶水平的算法)可在一个白人老年人群中准确识别经超声证实的 NAFLD。

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