Non-Alcoholic Fatty Liver Disease - Liver Fat Score (NAFLD-LFS)
You can read more about the score and its relevance in non-alcoholic fatty liver disease diagnosis, in the text below the calculator.
The NAFLD-LFS is a non-invasive screening method for liver fat in non-alcoholic fatty liver disease based on insulin, ALT and AST values and diagnosis of metabolic syndrome and type 2 diabetes.
The study by Kotronen et al. established the optimal cut-off point for NAFLD (predicting increased liver fat content) at -0.640 with 86% sensitivity and 71% specificity.
■ NAFLD-LFS values below or equal to -0.640 indicate that NAFLD can be ruled out.
■ NAFLD-LFS values above -0.640 indicate that NAFLD is present.
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This is a non-invasive prediction tool that reflects the liver fat content in non-alcoholic liver fat disease to help with diagnosis efforts.
Ultrasound is generally the principal method for detecting liver steatosis but it's costly, operator-dependant, or not fully available. Also, ultrasound only detects steatosis if it is present in more than 20-30% of hepatocytes.
Because of this, there is a real interest in developing prediction tools that are both non-invasive, inexpensive and reliant on already collected data.
In the 2009 study by Kotronen et al. the following predicting variables were defined:
■ Existence of metabolic syndrome;
■ Existence of type 2 diabetes;
■ Fasting serum insulin;
■ Aspartate transaminase (AST);
■ Alanine transaminase (ALT);
All these variables are known to have previously been associated with increased liver fat content.
The formula employed after multivariate logistic and linear regression analyses was:
NAFLD-LFS = - 2.89 + 1.18 x Metabolic Syndrome (Yes: 1, No: 0) + 0.45 x Type 2 Diabetes (Yes: 2, No: 0) + 0.15 x Insulin in mU/L + 0.04 x AST in U/L – 0.94 x AST/ALT
The optimal cut-off value for NAFLD was set at -0.640 (86% sensitivity and 71% specificity), meaning that in patients who scored below, NAFLD could be ruled out and in patients who scored above, NAFLD is likely to be diagnosed and they should be referred for liver ultrasonography and other diagnostic methods.
The score had an AUROC curve of 0.87 in the estimation and 0.86 in the validation group.
Hepatic steatosis predictors
Other non-alcoholic fatty liver disease predictor tools include:
■ TyG Index (also for insulin resistance);
Kotronen A, Peltonen M, Hakkarainen A, Sevastianova K, Bergholm R, Johansson LM, Lundbom N, Rissanen A, Ridderstråle M, Groop L, Orho-Melander M, Yki-Järvinen H. Prediction of non-alcoholic fatty liver disease and liver fat using metabolic and genetic factors. Gastroenterology. 2009; 137(3):865-72.
1. Fedchuk L, Nascimbeni F, Pais R, Charlotte F, Housset C, Ratziu V; LIDO Study Group. Performance and limitations of steatosis biomarkers in patients with nonalcoholic fatty liver disease. Aliment Pharmacol Ther. 2014; 40(10):1209-22.
2. Kahl S, Straßburger K, Nowotny B, Livingstone R, Klüppelholz B, Keßel K, Hwang JH, Giani G, Hoffmann B, Pacini G, Gastaldelli A, Roden M. Comparison of liver fat indices for the diagnosis of hepatic steatosis and insulin resistance. PLoS One. 2014; 9(4):e94059.
Article reviewed by Dr. Antonio Olveira
App Version: 1.0.1
Coded By: MDApp
No. Of Variables: 5
Year Of Study: 2009
Published On: September 11, 2017 · 07:43 AM
Last Checked: September 11, 2017
Next Review: September 11, 2018