期刊
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
卷 11, 期 9, 页码 1201-1204出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.cgh.2012.12.031
关键词
Epidemiology; Lipid Accumulation Product; Obesity; The Netherlands
资金
- Erasmus MC University Medical Center
- Erasmus University Rotterdam
- Netherlands Organization for Scientific Research (NWO)
- Netherlands Organization for Health Research and Development (ZonMw)
- Research Institute for Diseases in the Elderly (RIDE)
- Ministry of Education, Culture and Science
- Ministry of Health, Welfare and Sports
- European Commission (DG XII)
- Municipality of Rotterdam
- Foundation for Liver Research (SLO), Rotterdam, The Netherlands
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 gamma-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 gamma-glutamyltransferase) accurately identifies NAFLD, confirmed via ultrasonography, in a large, white, elderly population.
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