Meredith A Borman1, Farah Ladak1, Pam Crotty1, Aaron Pollett2, Richard Kirsch2, Gilles Pomier-Layrargues3, Melanie Beaton4, Andres Duarte-Rojo5, Magdy Elkashab6, Robert P Myers7,8. 1. Liver Unit, Division of Gastroenterology and Hepatology, University of Calgary, 6D22, Teaching, Research and Wellness Building, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada. 2. Department of Pathology, Mt. Sinai Hospital, Toronto, ON, Canada. 3. Liver Unit Centre Hospitalier de L'Université de Montréal, Hôpital Saint-Luc, Montréal, QC, Canada. 4. Multi-Organ Transplant Unit, University of Western Ontario, London, Canada. 5. Toronto Western Hospital Liver Centre, Toronto, Canada. 6. Toronto Liver Centre, Toronto, ON, Canada. 7. Liver Unit, Division of Gastroenterology and Hepatology, University of Calgary, 6D22, Teaching, Research and Wellness Building, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada. rpmyers@ucalgary.ca. 8. Liver Unit, University of Calgary, 6D22, Teaching, Research and Wellness Building, 3280 Hospital Drive NW, Calgary, AB, T2 N 4Z6, Canada. rpmyers@ucalgary.ca.
Abstract
PURPOSE: Noninvasive tools for the detection of hepatic steatosis are needed. The Fatty Liver Index (FLI), which includes body mass index (BMI), waist circumference, triglycerides, and γ-glutamyl-transferase, has been proposed as a screening tool for fatty liver. Our objective was to validate the FLI for the detection and quantification of hepatic steatosis in an obese population. METHODS: Patients with chronic liver disease and BMI ≥ 28 kg/m(2) underwent liver biopsy and FLI determination. FLI performance for diagnosing steatosis compared with biopsy was assessed using areas under receiver operating characteristic curves (AUROCs), and a novel model for the prediction of significant steatosis (≥5 %) was derived. RESULTS: Among 250 included patients, 65 % were male, and the median BMI was 33 kg/m(2); 48 % had nonalcoholic fatty liver disease, and 77 % had significant (≥5 %) steatosis. The FLI was weakly correlated with the percentage (ρ = 0.25, p = 0.0001) and grade of steatosis (ρ = 0.28, p < 0.00005). The median FLI was higher among patients with significant steatosis (91 vs. 80 with <5 % steatosis; p = 0.0001) and the AUROC for this outcome was 0.67 (95 % CI 0.59-0.76). At an optimal FLI cut-off of 79, the FLI was 81 % sensitive and 49 % specific, and had positive and negative predictive values of 84 and 43 %, respectively. A novel index including triglycerides, glucose, alkaline phosphatase, and BMI outperformed the FLI for predicting significant steatosis [AUROCs 0.78 vs. 0.68; p = 0.009 (n = 247)]. CONCLUSIONS: In obese patients, the FLI is a poor predictor of significant steatosis and has limited utility for steatosis quantification compared with liver histology. A novel index including triglycerides, glucose, alkaline phosphatase, and BMI may be useful, but requires validation.
PURPOSE: Noninvasive tools for the detection of hepatic steatosis are needed. The Fatty Liver Index (FLI), which includes body mass index (BMI), waist circumference, triglycerides, and γ-glutamyl-transferase, has been proposed as a screening tool for fatty liver. Our objective was to validate the FLI for the detection and quantification of hepatic steatosis in an obese population. METHODS:Patients with chronic liver disease and BMI ≥ 28 kg/m(2) underwent liver biopsy and FLI determination. FLI performance for diagnosing steatosis compared with biopsy was assessed using areas under receiver operating characteristic curves (AUROCs), and a novel model for the prediction of significant steatosis (≥5 %) was derived. RESULTS: Among 250 included patients, 65 % were male, and the median BMI was 33 kg/m(2); 48 % had nonalcoholic fatty liver disease, and 77 % had significant (≥5 %) steatosis. The FLI was weakly correlated with the percentage (ρ = 0.25, p = 0.0001) and grade of steatosis (ρ = 0.28, p < 0.00005). The median FLI was higher among patients with significant steatosis (91 vs. 80 with <5 % steatosis; p = 0.0001) and the AUROC for this outcome was 0.67 (95 % CI 0.59-0.76). At an optimal FLI cut-off of 79, the FLI was 81 % sensitive and 49 % specific, and had positive and negative predictive values of 84 and 43 %, respectively. A novel index including triglycerides, glucose, alkaline phosphatase, and BMI outperformed the FLI for predicting significant steatosis [AUROCs 0.78 vs. 0.68; p = 0.009 (n = 247)]. CONCLUSIONS: In obesepatients, the FLI is a poor predictor of significant steatosis and has limited utility for steatosis quantification compared with liver histology. A novel index including triglycerides, glucose, alkaline phosphatase, and BMI may be useful, but requires validation.
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