Brief Article Open Access
Copyright ©2013 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Gastroenterol. Jan 7, 2013; 19(1): 57-64
Published online Jan 7, 2013. doi: 10.3748/wjg.v19.i1.57
Comparison of fatty liver index with noninvasive methods for steatosis detection and quantification
Shira Zelber-Sagi, Muriel Webb, Laurie Blendis, Hanny Yeshua, Moshe Leshno, Zamir Halpern, Ran Oren, Erwin Santo, Department of Gastroenterology, Tel Aviv Sourasky Medical Center, 64239 Tel-Aviv, Israel
Shira Zelber-Sagi, School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, 31905 Haifa, Israel
Nimer Assy, Liver Unit, Ziv Medical Center, Israel and Bar Ilan University, 13100 Safed, Israel
Moshe Leshno, Zamir Halpern, Ran Oren, Erwin Santo, The Sackler Faculty of Medicine, Tel-Aviv University, 69978 Ramat Aviv, Israel
Vlad Ratziu, Université Pierre et Marie Curie, Hôpital Pitié Salpêtrière, 75013 Paris, France
Author contributions: Zelber-Sagi S conceived and designed the study, performed the data collection, analyzed the data and wrote the manuscript; Webb M developed the HRI method and performed the abdominal ultrasounds and HRI calculations; Assy N, Blendis L, Yeshua H, Ratziu V critically reviewed the manuscript and contributed to the writing of the manuscript; Leshno M contributed to the data analyzes; Halpern Z, Oren R conducted data collection and critically reviewed the manuscript; Santo E helped to design the study and was involved in the development of the HRI method; all authors read and approved the final manuscript.
Correspondence to: Dr. Shira Zelber-Sagi, Researcher, Lecturer, The Liver Unit, Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, 64239 Tel-Aviv, Israel. zelbersagi@bezeqint.net
Telephone: +972-3-6973984 Fax: +972-3-6974622
Received: June 15, 2012
Revised: September 18, 2012
Accepted: September 22, 2012
Published online: January 7, 2013

Abstract

AIM: To compare noninvasive methods presently used for steatosis detection and quantification in nonalcoholic fatty liver disease (NAFLD).

METHODS: Cross-sectional study of subjects from the general population, a subgroup from the First Israeli National Health Survey, without excessive alcohol consumption or viral hepatitis. All subjects underwent anthropometric measurements and fasting blood tests. Evaluation of liver fat was performed using four noninvasive methods: the SteatoTest; the fatty liver index (FLI); regular abdominal ultrasound (AUS); and the hepatorenal ultrasound index (HRI). Two of the noninvasive methods have been validated vs liver biopsy and were considered as the reference methods: the HRI, the ratio between the median brightness level of the liver and right kidney cortex; and the SteatoTest, a biochemical surrogate marker of liver steatosis. The FLI is calculated by an algorithm based on triglycerides, body mass index, γ-glutamyl-transpeptidase and waist circumference, that has been validated only vs AUS. FLI < 30 rules out and FLI ≥ 60 rules in fatty liver.

RESULTS: Three hundred and thirty-eight volunteers met the inclusion and exclusion criteria and had valid tests. The prevalence rate of NAFLD was 31.1% according to AUS. The FLI was very strongly correlated with SteatoTest (r = 0.91, P < 0.001) and to a lesser but significant degree with HRI (r = 0.55, P < 0.001). HRI and SteatoTest were significantly correlated (r = 0.52, P < 0.001). The κ between diagnosis of fatty liver by SteatoTest (≥ S2) and by FLI (≥ 60) was 0.74, which represented good agreement. The sensitivity of FLI vs SteatoTest was 85.5%, specificity 92.6%, positive predictive value (PPV) 74.7%, and negative predictive value (NPV) 96.1%. Most subjects (84.2%) with FLI < 60 had S0 and none had S3-S4. The κ between diagnosis of fatty liver by HRI (≥ 1.5) and by FLI (≥ 60) was 0.43, which represented only moderate agreement. The sensitivity of FLI vs HRI was 56.3%, specificity 86.5%, PPV 57.0%, and NPV 86.1%. The diagnostic accuracy of FLI for steatosis > 5%, as predicted by SteatoTest, yielded an area under the receiver operating characteristic curve (AUROC) of 0.97 (95% CI: 0.95-0.98). The diagnostic accuracy of FLI for steatosis > 5%, as predicted by HRI, yielded an AUROC of 0.82 (95% CI: 0.77-0.87). The κ between diagnosis of fatty liver by AUS and by FLI (≥ 60) was 0.48 for the entire sample. However, after exclusion of all subjects with an intermediate FLI score of 30-60, the κ between diagnosis of fatty liver by AUS and by FLI either ≥ 60 or < 30 was 0.65, representing good agreement. Excluding all the subjects with an intermediate FLI score, the sensitivity of FLI was 80.3% and the specificity 87.3%. Only 8.5% of those with FLI < 30 had fatty liver on AUS, but 27.8% of those with FLI ≥ 60 had normal liver on AUS.

CONCLUSION: FLI has striking agreement with SteatoTest and moderate agreements with AUS or HRI. However, if intermediate values are excluded FLI has high diagnostic value vs AUS.

Key Words: Steatosis, Hepatorenal ultrasound index, SteatoTest, Fatty liver index, Screening, Agreement, Sensitivity, Specificity



INTRODUCTION

Nonalcoholic fatty liver disease (NAFLD) is emerging as a significant health burden raising serious clinical and public health concerns. Liver steatosis may predispose the liver to inflammation, fibrosis and eventually cirrhosis and hepatocellular carcinoma[1,2]. Furthermore, it is regarded as the most prevalent chronic liver disease affecting as much as 30% of the adult western population[3-5].

Besides the hepatic damage, in recent years NAFLD has emerged as an independent risk factor for type 2 diabetes and cardiovascular disease[6,7]. Therefore, efforts to prevent NAFLD progression and extrahepatic manifestations must include screening and surveillance strategies. The occult nature of the disease has led to increased efforts in achieving simple and cost-effective diagnostic methods, preferably quantitative, that would be useful for screening, follow-up and evaluation of response to treatment in both clinical practice and research.

Liver biopsy is the gold standard for quantification of liver steatosis in NAFLD[8]. However, it is not routinely performed because it is an invasive procedure with a significant degree of sampling error[9]. In addition, due to the high prevalence of NAFLD in the general population using routine liver biopsy to diagnose NAFLD is unreasonable. Therefore, noninvasive methods including imaging techniques and blood-test-based formulas have been developed to qualify and quantify liver steatosis[10-12]. However, a widely accepted examination that is easy to perform, accurate and inexpensive has yet to be found.

The aim of this study was to compare the fatty liver index (FLI)[13], which has been validated only vs abdominal ultrasound (AUS) with two different reference noninvasive methods for steatosis quantification that were validated vs liver biopsy: the hepatorenal ultrasound index (HRI)[14], and the SteatoTest, a biochemical surrogate marker of liver steatosis[15], providing together a more complete picture of construct validity. We also aimed to compare FLI with regular AUS in a qualitative manner.

MATERIALS AND METHODS
Study population and measurements

A cross-sectional study was performed during 2003-2004, consisting of 375 participants, a subgroup from the First Israeli National Health Survey[16] as described in detail elsewhere[5,17]. Exclusion criteria were: alcohol consumption ≥ 30 g/d in men or 20 g/d in women, presence of hepatitis B surface antigen or anti-hepatitis C virus antibodies, fatty liver suspected to be secondary to hepatotoxic drugs, inflammatory bowel disease, prior surgery that could cause fatty liver, or celiac disease. All patients underwent measurements of weight, height, and waist circumference according to uniform protocols. Blood samples were drawn following a 12-h fast, and tested for liver enzymes, serum lipid profile, and fasting serum glucose and serum insulin levels. Frozen serum samples from all participants were stored at -80 °C until the analysis of SteatoTest (BioPredictive, Paris, France). Biomarkers components were analyzed according to published recommendations[18]. A face-to-face interview was carried out with a questionnaire that was assembled by the Israeli Ministry of Health[16] and included demographic data, health status and a detailed questionnaire on alcohol intake.

The study protocol was approved by the institution’s human research committee and all participants gave signed informed consent.

AUS for detection of fatty liver and liver fat quantification

Fatty liver was diagnosed qualitatively by AUS using standardized criteria[19]. Ultrasound was performed in all subjects with the same equipment (EUB-8500 scanner; Hitachi Medical Corporation, Tokyo, Japan) and by the same operator (Webb M) as described previously[5,20]. The radiologist was blinded to the results of the blood tests and the clinical background of the participants, and the calculation of steatosis biomarkers was performed only after the radiological examination.

Furthermore, during AUS, the same single radiologist performed steatosis quantification using the HRI. The HRI has been validated vs liver biopsy and is an objective operator-independent examination[14] (available in 331 subjects). As previously described in detail[14], during ultrasonography, a graphic representation of echo intensity (histogram) within a region of interest in both the liver and the right kidney cortex was obtained on the same longitudinal sonographic plane. The ratio between the median brightness level of the liver and the right kidney cortex was calculated to determine the HRI (Figure 1). HRI ≥ 1.50 indicated fatty liver (parallel to steatosis > 5% on liver biopsy) with a sensitivity of 100% and specificity of 91% according to our validation study[14].

Figure 1
Figure 1 Ultrasound image of the liver and the right kidney cortex with graphic representation of the histogram in the region of interest rectangle. HIST1 is the histogram of the liver and HIST2 is the histogram of the right kidney cortex. The median histogram (MD) 1 of the liver is 102.3 and the MD2 of the kidney cortex is 50.1, yielding an HRI of 2.04.
Surrogate measures of fatty liver

SteatoTest, the steatosis index, has been validated vs liver biopsy with a sensitivity of 0.90 and specificity of 0.54 at the 0.30 cut-off for the diagnosis of > 5% steatosis[15]. SteatoTest is calculated by the combination of the FibroTest with serum alanine amino transferase (ALT), body mass index (BMI), blood glucose, serum triglycerides and cholesterol adjusted for age and sex[15]. Two subjects had extremely low haptoglobin values, with suspected hemolysis and a high risk of false-positive FibroTest results, and therefore were omitted from our analysis. The definition of fatty liver was SteatoTest ≥ S2 (> 5% fat).

The FLI was calculated by an algorithm based on triglycerides, BMI, γ-glutamyl-transpeptidase and waist circumference. The FLI score range is 0-100 and estimates the percentage chance of having fatty liver. It has been validated vs fatty liver diagnosed qualitatively by ultrasound with a sensitivity of 0.61 and specificity of 0.86 for a cut-off of ≥ 60[13]. FLI < 30 rules out and FLI ≥ 60 rules in fatty liver. Our analyses referred to a cut-off with a value above 60 indicating NAFLD and a value below indicating no NAFLD.

Statistical analysis

Statistical analyses were performed using SPSS Version 17 (Chicago, IL, Unitd States). Continuous variables are presented as mean ± SD. The Pearson correlation coefficient was used for continuous variables. To test differences in continuous variables between two groups the independent samples t test was performed. For nominal variables, the Pearson χ2 test was performed. To test the predictive value of the methods, receiver operating characteristic (ROC) curves were performed with SteatoTest (≥ S2) or HRI (≥ 1.5) as the reference methods, and the area under the ROC (AUROC) curve was recorded. κ was calculated for evaluation of agreement between diagnosis of fatty liver by SteatoTest (≥ S2) or HRI (≥ 1.5) compared to FLI (≥ 60). κ values were interpreted by the following grades: very poor (0.00-0.20), poor (0.21-0.40), moderate (0.41-0.60), good (0.61-0.80), and excellent (0.81-1.00) agreement[21]. P < 0.05 was considered statistically significant.

RESULTS

Characteristics of the study population and comparison between subjects with FLI60 and < 60

Three hundred and forty-nine volunteers met the inclusion criteria. Three hundred and forty serum samples were available for the SteatoTest (9 were either missing or hemolysed). Two subjects had a high risk of a false-positive FibroTest and thus were omitted from analysis, leaving a sample size of 338 subjects. Detailed information on the study population has been described elsewhere[5,17]. The main relevant characteristics of the study sample and comparison between the subjects with FLI ≥ 60 and and < 60 are depicted in Table 1. Subjects with FLI ≥ 60 were older, had a higher percentage of men, higher BMI, and higher serum fasting levels of liver enzymes, glucose, triglycerides, insulin and ferritin.

Table 1 Characteristics of the study sample, distribution of steatosis as predicted by different methods, and comparison between subjects with fatty liver index ≥ 60 and < 60.
Characteristics/methodRangeTotal (n = 338)FLI < 60 (n = 259)FLI60 (n = 79)P value
Age (yr)50.8 ± 10.450.0 ± 10.453.3 ± 10.00.01
Male %53.048.368.40.002
BMI (kg/m2)27.2 ± 4.425.6 ± 3.232.4 ± 3.9< 0.001
ALT (U/L)5-3922.1 ± 9.620.6 ± 7.426.9 ± 13.5< 0.001
AST (U/L)5-4023.0 ± 5.522.5 ± 4.824.7 ± 7.00.008
GGT (U/L)6-2816.0 ± 12.113.9 ± 11.122.7 ± 12.7< 0.001
Glucose (mg/dL)70-11090.8 ± 19.887.6 ± 16.2101.0 ± 26.1< 0.001
Insulin (μU/mL)5-2522.3 ± 11.719.5 ± 10.031.5 ± 12.3< 0.001
Triglycerides (mg/dL)50-175116.8 ± 60.4100.2 ± 44.4170.9 ± 73.3< 0.001
Ferritin (ng/mL)7.1-15172.7 ± 60.164.6 ± 55.3100.1 ± 67.5< 0.001
FL on AUS % (n = 338)31.118.572.2< 0.001
HRI (n = 331)1.3 ± 0.41.2 ± 0.31.6 ± 0.4< 0.001
HRI ≥ 1.50 (FL) %24.213.957.0< 0.001
SteatoTest (n = 338)0.3 ± 0.20.2 ± 0.10.6 ± 0.1< 0.001
S ≥ 2 (FL) %20.43.974.7< 0.001
S0 %66.984.210.1< 0.001
S1 %1-512.712.015.2 0.45
S2 %6-3313.03.943.0< 0.001
S3-S4 %34-1007.4031.6< 0.001
FLI (n = 338)36.7 ± 27.724.2 ± 17.177.8 ± 11.1< 0.001
FLI ≥ 60 (FL) %23.4NANANA
FLI < 30 %48.8NANANA
Distribution of steatosis as predicted by different methods in the entire sample and by FLI

Applying AUS as the reference method, most subjects with FLI ≥ 60 had fatty liver on AUS, yielding a positive predictive value (PPV) of 72.2%. Most subjects with FLI < 60 had normal liver on AUS, yielding a negative predictive value (NPV) of 81.5%. Applying HRI as the reference method, only 57.0% (PPV) of subjects with FLI ≥ 60 had HRI ≥ 1.50, but 86.1% (NPV) of the subjects with FLI < 60 also had HRI < 1.5. Applying the SteatoTest as the reference method, most subjects with FLI ≥ 60 had a SteatoTest of ≥ S2, yielding a PPV of 74.7%, and the majority of those with FLI < 60 had a SteatoTest < S2, yielding an NPV of 96.1%. Most subjects (84.2%) with FLI < 60 had S0 and none had S3-S4 (Table 1).

Correlation between FLI and SteatoTest or HRI

FLI was very strongly correlated with SteatoTest (r = 0.91, P < 0.001) and to a lesser but significant degree with HRI (r = 0.55, P < 0.001) (Figure 2). HRI and SteatoTest were also significantly correlated (r = 0.52, P < 0.001).

Figure 2
Figure 2 Correlation of fatty liver index with the reference methods. A: SteatoTest; B: Hepatorenal ultrasound index (HRI). FLI: Fatty liver index.

Furthermore, when testing the distribution of SteatoTest by FLI categories, FLI value above or below 60 discriminated the SteatoTest values with no overlap between the box plots (interquartile range). Similarly, the HRI values were discriminated by FLI categories, but to a lesser extent (Figure 3). The mean levels of SteatoTest and HRI were significantly different between FLI categories of above or below 60 (Table 1).

Figure 3
Figure 3 Distribution of SteatoTest and hepatorenal ultrasound index by fatty liver index above and below 60. A: SteatoTest; B: Hepatorenal ultrasound index (HRI). The box represents the interquartile range. The line across the box indicates the median. The “whiskers” are lines that extend from the box to the highest and lowest values, excluding outliers (defined as observations greater than 1.5 interquartile ranges). FLI: Fatty liver index.
Concordance between FLI and SteatoTest or HRI in diagnosis of steatosis

The κ between diagnosis of fatty liver by SteatoTest (≥ S2) and by FLI (≥ 60) was 0.74, which represented good agreement (Table 2). The sensitivity of FLI vs SteatoTest was 85.5% (59/69) and the specificity 92.6% (249/269). The κ between diagnosis of fatty liver by HRI (≥ 1.5) and by FLI (≥ 60) was 0.43, which represented only moderate agreement (Table 2). The sensitivity of FLI vs HRI was 56.3% (45/80) and the specificity 86.5% (217/251).

Table 2 Diagnostic value of fatty liver index for predicting steatosis vs SteatoTest or hepatorenal ultrasound index or abdominal ultrasound.
FLI60 vsSensitivity %Specificity %PPV %NPV %κ
SteatoTest ≥ S2 (n = 338)85.592.674.796.10.74
HRI ≥ 1.50 (n = 331)56.386.55786.10.43
Abdominal ultrasound fatty liver (n = 244)80.387.372.291.50.65
Concordance between FLI and regular AUS in diagnosis of steatosis

The κ between diagnosis of fatty liver by AUS and by FLI (≥ 60) was 0.48 (data not shown). A validation study of FLI has suggested that FLI < 30 rules out and FLI ≥ 60 rules in fatty liver[13], therefore, further analysis was performed after exclusion of all subjects with an intermediate FLI score of 30-60 (27.8%). The κ between diagnosis of fatty liver by AUS and by FLI either ≥ 60 or < 30 was 0.65, which represented good agreement (Table 2). The sensitivity of FLI was 80.3% (57/71) and the specificity 87.3% (151/173).

Only 8.5% of those with FLI < 30 had fatty liver on AUS, but 27.8% of those with FLI ≥ 60 had normal liver on AUS.

Diagnostic accuracy of FLI for detection of steatosis > 5% in comparison to SteatoTest or HRI

The diagnostic accuracy of FLI for steatosis > 5%, as predicted by SteatoTest, yielded an AUROC of 0.97 (95% CI: 0.95-0.98). The diagnostic accuracy of FLI for steatosis > 5%, as predicted by HRI, yielded an AUROC of 0.82 (95% CI: 0.77-0.87) (Figure 4).

Figure 4
Figure 4 Receiver operating characteristic curves for diagnostic accuracy of fatty liver index vs SteatoTest or hepatorenal ultrasound index. A: SteatoTest; B: Hepatorenal ultrasound index (HRI). Comparing fatty liver index (FLI) to SteatoTest ≥ S2, area under the receiver operating characteristic curve (AUROC) was 0.97 (95% CI: 0.95-0.98). Comparing FLI to HRI ≥ 1.5, AUROC was 0.82 (95% CI: 0.77-0.87). Receiver operating characteristic curve of sensitivity (true-positive fraction) plotted against 1- specificity (false-positive fraction) of the FLI for diagnosis of steatosis.
DISCUSSION

In view of the public health issue of the increasing prevalence of NAFLD and its hepatic and extrahepatic consequences, the development of simple cost-effective screening methods has become extremely important.

In the present study, the agreement between different potential noninvasive screening methods was evaluated. This is believed to be the first study to evaluate the agreement between FLI and steatoTest and between FLI and quantitative ultrasound methodology (HRI).

We found a striking agreement between SteatoTest and FLI, which were very highly correlated. A less impressive but still high correlation was found between FLI and HRI. The κ between diagnosis of fatty liver by SteatoTest and by FLI was 0.73, which represented good agreement. The κ between diagnosis of fatty liver by HRI and by FLI was 0.44, which represented only moderate agreement.

Although evaluation and quantification of steatosis does not provide a complete reflection of severity of NAFLD, such evaluation is important for several reasons. As much as 23% of patients with simple steatosis may still develop nonalcoholic steatohepatitis (NASH) and fibrosis progression, as demonstrated in a recent 3-year follow-up of NAFLD patients[22]. Furthermore, recent literature indicates that NAFLD predicts the tendency to develop both diabetes mellitus[23,24] and cardiovascular disease[25-27]. Therefore, it is not surprising that patients with NAFLD have increased mortality and morbidity compared with the general population[28,29]. Moreover, NAFLD patients seem to have diminished quality of life[30], which is manifested by increased fatigue with impairment in physical function[31] and over-representation of depressive and anxiety disorders[32]. From the economic point of view, the health care costs were demonstrated to be significantly higher for individuals with NAFLD and increased serum ALT levels by 33%, controlling for BMI, lifestyle and comorbid conditions[33].

The limitation of this study was that it had no liver biopsy as a gold standard because it could not be obtained in a population-based screening study for NAFLD. Therefore, no inference can be made as for a criterion validity of the FLI. Two quantitative methods were developed and validated against liver biopsy; the HRI, a radiological method[14], and the SteatoTest[15], based on biochemical markers. Therefore, both methods were used as the best available reference for steatosis quantification, in the absence of biopsies, in the present population-based study. For that reason, the correlations presented here can only provide construct validity to the FLI. In fact, for a broader use of both SteatoTest and HRI, more validation studies including liver biopsy are warranted because only one has been performed for the HRI[14] and two for the SteatoTest in liver disease patients[15], and recently in patients with morbid obesity treated with bariatric surgery[34]. The HRI has been used in very few studies so far[35,36]; probably because it requires special ultrasonographic equipment, and a dedicated ultrasonographer. In contrast, there have been more studies using the SteatoTest[17,37-39] providing it with some construct validity.

The FLI is a continuous measure that has been validated against AUS for the qualitative detection of NAFLD and has never been validated vs liver biopsy. However, the presence of quantitative reference methods in the current study has enabled the testing of FLI also in a quantitative manner. The FLI has recently been used as a surrogate for NAFLD in large epidemiological studies. In a large European cross-sectional population-based study, FLI was associated with insulin resistance, higher Framingham risk score, and increased intima-media thickness[40]. More importantly, the predictive validity of FLI was demonstrated in two large cohorts. In the French general population cohort, FLI was an independent predictor for diabetes in a 9-year follow-up[41], as would be expected from ultrasound-diagnosed NAFLD[42]. In an Italian population cohort, after 15 years follow-up, FLI was independently associated with liver-related mortality[43].

The commonest noninvasive method for the evaluation of fatty liver is AUS[44,45]. AUS is the modern diagnostic test of choice for NAFLD in epidemiological surveys because it is noninvasive, safe, widely available, and with a reasonable sensitivity and specificity[4,46,47]. In a recent meta-analysis, the overall sensitivity and specificity of ultrasound for the detection of moderate-severe fatty liver compared to histology were 84.8% and 93.6%, respectively[48]. We demonstrated only moderate agreement between diagnosis of fatty liver by AUS and by FLI (≥ 60) (κ = 0.48) , but after exclusion of all subjects with a intermediate FLI score of 30-60, κ increased to 0.65, representing good agreement, and the sensitivity and specificity of FLI were 80.3% and 87.3%, respectively. This however was at the cost of leaving almost 30% of the study population undiagnosed.

In summary, the present study provides construct validity to simple, inexpensive surrogate markers of NAFLD. FLI highly correlates and has good agreement with SteatoTest, perhaps because both are calculated measures based on overlapping parameters. FLI has moderate agreement with ultrasonographic methods; either regular AUS or HRI. These noninvasive diagnostic methods for liver steatosis should be further validated in different populations, preferably by criterion (vs liver histology) and predictive validity.

NAFLD has become one of the most important public health issues today. Although NASH is more relevant for the development of life-threatening liver disease, such as cirrhosis and hepatocellular carcinoma[49-51], it has now become clear from population studies that steatosis is relevant for the development of extrahepatic life-threatening diseases[52], such as diabetes[7,23,24] and cardiovascular disease[26,27]. Therefore, there is an urgent need for well-validated, quantitative, cost-effective, noninvasive methods for evaluation of steatosis in clinical practice, and epidemiological and clinical research when liver biopsy is not feasible.

COMMENTS
Background

Nonalcoholic fatty liver disease (NAFLD) is regarded as the most prevalent chronic liver disease affecting as much as 30% of the adult western population. Besides hepatic damage, in recent years, NAFLD has emerged as an independent risk factor for type 2 diabetes and cardiovascular disease.

Research frontiers

Liver biopsy is the gold standard for detection and quantification of liver steatosis in NAFLD. However, it is not routinely performed because it is an invasive procedure with a significant degree of sampling error. In addition, due to the high prevalence of NAFLD, using routine liver biopsy to diagnose or screen for NAFLD is unreasonable and also unethical in epidemiological population-based studies. Therefore, noninvasive methods including imaging techniques and blood-test-based formulas have been developed to qualify and quantify liver steatosis. However, a widely accepted examination that is easy to perform, accurate and inexpensive has yet to be found.

Innovations and breakthroughs

In view of the increasing prevalence of NAFLD and its hepatic and extrahepatic consequences, the development of simple cost-effective screening methods has become extremely important. In the present study, the agreement between different potential noninvasive screening methods was evaluated. This is believed to be the first study to evaluate the agreement between fatty liver index (FLI) and two quantitative methods, the steatoTest and the hepatorenal index (HRI), which have been validated vs liver biopsy. This study also adds further validation to FLI as compared to regular abdominal ultrasound (AUS), which has been demonstrated so far only in one study.

Applications

Efforts to prevent NAFLD progression and extrahepatic manifestations must include screening and surveillance strategies. The present study provides validity to FLI, a simple, inexpensive surrogate marker of NAFLD. Validated, quantitative, cost-effective methods for evaluation of steatosis can help in repeated evaluation of treatment efficacy during follow-up in clinical practice and clinical trials. Furthermore, in large epidemiological population-based studies, when liver biopsy is not feasible, noninvasive methods may serve as an alternative. Knowing the agreement and disagreement between the different noninvasive methods would help in the interpretation of results from studies using different methods. Further validation of FLI in comparison with liver biopsy is still warranted.

Terminology

Steatosis is fatty infiltration of the liver, mainly triglycerides. Fatty liver is defined as steatosis exceeding 5%-10% of its weight. NAFLD may predispose the liver to inflammation, fibrosis and eventually cirrhosis and hepatocellular carcinoma. The HRI is a quantitative ultrasound methodology. The SteatoTest and the FLI are biochemical surrogate markers of liver steatosis based on calculated algorithms. All these are noninvasive methods presently used for steatosis detection and quantification.

Peer review

The subject of the article is of interest and importance. This was a good descriptive study in which the authors compared noninvasive methods presently used for steatosis detection and quantification in NAFLD. The results are interesting and suggest that FLI has striking agreement with SteatoTest and moderate agreements with AUS or HRI.

Footnotes

P- Reviewer Takuma Y S- Editor Gou SX L- Editor Kerr C E- Editor Xiong L

References
1.  Caldwell S, Argo C. The natural history of non-alcoholic fatty liver disease. Dig Dis. 2010;28:162-168.  [PubMed]  [DOI]  [Cited in This Article: ]
2.  Bhala N, Angulo P, van der Poorten D, Lee E, Hui JM, Saracco G, Adams LA, Charatcharoenwitthaya P, Topping JH, Bugianesi E. The natural history of nonalcoholic fatty liver disease with advanced fibrosis or cirrhosis: an international collaborative study. Hepatology. 2011;54:1208-1216.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 343]  [Cited by in F6Publishing: 345]  [Article Influence: 26.5]  [Reference Citation Analysis (0)]
3.  Bellentani S, Saccoccio G, Masutti F, Crocè LS, Brandi G, Sasso F, Cristanini G, Tiribelli C. Prevalence of and risk factors for hepatic steatosis in Northern Italy. Ann Intern Med. 2000;132:112-117.  [PubMed]  [DOI]  [Cited in This Article: ]
4.  Bedogni G, Bellentani S. Fatty liver: how frequent is it and why? Ann Hepatol. 2004;3:63-65.  [PubMed]  [DOI]  [Cited in This Article: ]
5.  Zelber-Sagi S, Nitzan-Kaluski D, Halpern Z, Oren R. Prevalence of primary non-alcoholic fatty liver disease in a population-based study and its association with biochemical and anthropometric measures. Liver Int. 2006;26:856-863.  [PubMed]  [DOI]  [Cited in This Article: ]
6.  Sung KC, Ryan MC, Wilson AM. The severity of nonalcoholic fatty liver disease is associated with increased cardiovascular risk in a large cohort of non-obese Asian subjects. Atherosclerosis. 2009;203:581-586.  [PubMed]  [DOI]  [Cited in This Article: ]
7.  Stefan N, Kantartzis K, Häring HU. Causes and metabolic consequences of Fatty liver. Endocr Rev. 2008;29:939-960.  [PubMed]  [DOI]  [Cited in This Article: ]
8.  Adams LA, Angulo P, Lindor KD. Nonalcoholic fatty liver disease. CMAJ. 2005;172:899-905.  [PubMed]  [DOI]  [Cited in This Article: ]
9.  Ratziu V, Charlotte F, Heurtier A, Gombert S, Giral P, Bruckert E, Grimaldi A, Capron F, Poynard T. Sampling variability of liver biopsy in nonalcoholic fatty liver disease. Gastroenterology. 2005;128:1898-1906.  [PubMed]  [DOI]  [Cited in This Article: ]
10.  Saadeh S, Younossi ZM, Remer EM, Gramlich T, Ong JP, Hurley M, Mullen KD, Cooper JN, Sheridan MJ. The utility of radiological imaging in nonalcoholic fatty liver disease. Gastroenterology. 2002;123:745-750.  [PubMed]  [DOI]  [Cited in This Article: ]
11.  Joy D, Thava VR, Scott BB. Diagnosis of fatty liver disease: is biopsy necessary? Eur J Gastroenterol Hepatol. 2003;15:539-543.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 98]  [Article Influence: 4.7]  [Reference Citation Analysis (0)]
12.  Siegelman ES, Rosen MA. Imaging of hepatic steatosis. Semin Liver Dis. 2001;21:71-80.  [PubMed]  [DOI]  [Cited in This Article: ]
13.  Bedogni G, Bellentani S, Miglioli L, Masutti F, Passalacqua M, Castiglione A, Tiribelli C. The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population. BMC Gastroenterol. 2006;6:33.  [PubMed]  [DOI]  [Cited in This Article: ]
14.  Webb M, Yeshua H, Zelber-Sagi S, Santo E, Brazowski E, Halpern Z, Oren R. Diagnostic value of a computerized hepatorenal index for sonographic quantification of liver steatosis. AJR Am J Roentgenol. 2009;192:909-914.  [PubMed]  [DOI]  [Cited in This Article: ]
15.  Poynard T, Ratziu V, Naveau S, Thabut D, Charlotte F, Messous D, Capron D, Abella A, Massard J, Ngo Y. The diagnostic value of biomarkers (SteatoTest) for the prediction of liver steatosis. Comp Hepatol. 2005;4:10.  [PubMed]  [DOI]  [Cited in This Article: ]
16.  Nitzan Kaluski D, Goldsmith R, Chinitz A, Ben Arie-Magled O, Mayer C, Green M.  First National Health and Nutrition Survey, Part I 1999-2001. Jerusalem, Israel: Israel Center for Disease Control 2003; .  [PubMed]  [DOI]  [Cited in This Article: ]
17.  Zelber-Sagi S, Nitzan-Kaluski D, Goldsmith R, Webb M, Zvibel I, Goldiner I, Blendis L, Halpern Z, Oren R. Role of leisure-time physical activity in nonalcoholic fatty liver disease: a population-based study. Hepatology. 2008;48:1791-1798.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 222]  [Cited by in F6Publishing: 211]  [Article Influence: 13.2]  [Reference Citation Analysis (0)]
18.  Imbert-Bismut F, Messous D, Thibault V, Myers RB, Piton A, Thabut D, Devers L, Hainque B, Mercadier A, Poynard T. Intra-laboratory analytical variability of biochemical markers of fibrosis (Fibrotest) and activity (Actitest) and reference ranges in healthy blood donors. Clin Chem Lab Med. 2004;42:323-333.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 62]  [Cited by in F6Publishing: 80]  [Article Influence: 4.2]  [Reference Citation Analysis (0)]
19.  Gore RM. Diffuse liver disease. Textbook of Gastrointestinal Radiology. Philadelphia: Saunders 1994; 1968-2017.  [PubMed]  [DOI]  [Cited in This Article: ]
20.  Zelber-Sagi S, Nitzan-Kaluski D, Halpern Z, Oren R. NAFLD and hyperinsulinemia are major determinants of serum ferritin levels. J Hepatol. 2007;46:700-707.  [PubMed]  [DOI]  [Cited in This Article: ]
21.  Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-174.  [PubMed]  [DOI]  [Cited in This Article: ]
22.  Wong VW, Wong GL, Choi PC, Chan AW, Li MK, Chan HY, Chim AM, Yu J, Sung JJ, Chan HL. Disease progression of non-alcoholic fatty liver disease: a prospective study with paired liver biopsies at 3 years. Gut. 2010;59:969-974.  [PubMed]  [DOI]  [Cited in This Article: ]
23.  Sung KC, Kim SH. Interrelationship between fatty liver and insulin resistance in the development of type 2 diabetes. J Clin Endocrinol Metab. 2011;96:1093-1097.  [PubMed]  [DOI]  [Cited in This Article: ]
24.  Fan JG, Li F, Cai XB, Peng YD, Ao QH, Gao Y. Effects of nonalcoholic fatty liver disease on the development of metabolic disorders. J Gastroenterol Hepatol. 2007;22:1086-1091.  [PubMed]  [DOI]  [Cited in This Article: ]
25.  Musso G, Gambino R, Cassader M, Pagano G. Meta-analysis: natural history of non-alcoholic fatty liver disease (NAFLD) and diagnostic accuracy of non-invasive tests for liver disease severity. Ann Med. 2011;43:617-649.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 886]  [Cited by in F6Publishing: 854]  [Article Influence: 65.7]  [Reference Citation Analysis (0)]
26.  Targher G, Bertolini L, Poli F, Rodella S, Scala L, Tessari R, Zenari L, Falezza G. Nonalcoholic fatty liver disease and risk of future cardiovascular events among type 2 diabetic patients. Diabetes. 2005;54:3541-3546.  [PubMed]  [DOI]  [Cited in This Article: ]
27.  Villanova N, Moscatiello S, Ramilli S, Bugianesi E, Magalotti D, Vanni E, Zoli M, Marchesini G. Endothelial dysfunction and cardiovascular risk profile in nonalcoholic fatty liver disease. Hepatology. 2005;42:473-480.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 443]  [Cited by in F6Publishing: 452]  [Article Influence: 23.8]  [Reference Citation Analysis (0)]
28.  Adams LA, Lymp JF, St Sauver J, Sanderson SO, Lindor KD, Feldstein A, Angulo P. The natural history of nonalcoholic fatty liver disease: a population-based cohort study. Gastroenterology. 2005;129:113-121.  [PubMed]  [DOI]  [Cited in This Article: ]
29.  Feldstein AE, Charatcharoenwitthaya P, Treeprasertsuk S, Benson JT, Enders FB, Angulo P. The natural history of non-alcoholic fatty liver disease in children: a follow-up study for up to 20 years. Gut. 2009;58:1538-1544.  [PubMed]  [DOI]  [Cited in This Article: ]
30.  David K, Kowdley KV, Unalp A, Kanwal F, Brunt EM, Schwimmer JB. Quality of life in adults with nonalcoholic fatty liver disease: baseline data from the nonalcoholic steatohepatitis clinical research network. Hepatology. 2009;49:1904-1912.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 118]  [Cited by in F6Publishing: 117]  [Article Influence: 7.8]  [Reference Citation Analysis (0)]
31.  Newton JL, Jones DE, Henderson E, Kane L, Wilton K, Burt AD, Day CP. Fatigue in non-alcoholic fatty liver disease (NAFLD) is significant and associates with inactivity and excessive daytime sleepiness but not with liver disease severity or insulin resistance. Gut. 2008;57:807-813.  [PubMed]  [DOI]  [Cited in This Article: ]
32.  Elwing JE, Lustman PJ, Wang HL, Clouse RE. Depression, anxiety, and nonalcoholic steatohepatitis. Psychosom Med. 1991;68:563-569.  [PubMed]  [DOI]  [Cited in This Article: ]
33.  Baumeister SE, Völzke H, Marschall P, John U, Schmidt CO, Flessa S, Alte D. Impact of fatty liver disease on health care utilization and costs in a general population: a 5-year observation. Gastroenterology. 2008;134:85-94.  [PubMed]  [DOI]  [Cited in This Article: ]
34.  Lassailly G, Caiazzo R, Hollebecque A, Buob D, Leteurtre E, Arnalsteen L, Louvet A, Pigeyre M, Raverdy V, Verkindt H. Validation of noninvasive biomarkers (FibroTest, SteatoTest, and NashTest) for prediction of liver injury in patients with morbid obesity. Eur J Gastroenterol Hepatol. 2011;23:499-506.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 65]  [Cited by in F6Publishing: 66]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
35.  Neuman G, Sagi R, Shalitin S, Reif S. Serum inflammatory markers in overweight children and adolescents with non-alcoholic fatty liver disease. Isr Med Assoc J. 2010;12:410-415.  [PubMed]  [DOI]  [Cited in This Article: ]
36.  Soder RB, Baldisserotto M, Duval da Silva V. Computer-assisted ultrasound analysis of liver echogenicity in obese and normal-weight children. AJR Am J Roentgenol. 2009;192:W201-W205.  [PubMed]  [DOI]  [Cited in This Article: ]
37.  Ratziu V, Giral P, Munteanu M, Messous D, Mercadier A, Bernard M, Morra R, Imbert-Bismut F, Bruckert E, Poynard T. Screening for liver disease using non-invasive biomarkers (FibroTest, SteatoTest and NashTest) in patients with hyperlipidaemia. Aliment Pharmacol Ther. 2007;25:207-218.  [PubMed]  [DOI]  [Cited in This Article: ]
38.  Rubio A, Monpoux F, Huguon E, Truchi R, Triolo V, Rosenthal-Allieri MA, Deville A, Rosenthal E, Boutté P, Tran A. Noninvasive procedures to evaluate liver involvement in HIV-1 vertically infected children. J Pediatr Gastroenterol Nutr. 2009;49:599-606.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 18]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
39.  Friedrich-Rust M, Müller C, Winckler A, Kriener S, Herrmann E, Holtmeier J, Poynard T, Vogl TJ, Zeuzem S, Hammerstingl R. Assessment of liver fibrosis and steatosis in PBC with FibroScan, MRI, MR-spectroscopy, and serum markers. J Clin Gastroenterol. 2010;44:58-65.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 66]  [Cited by in F6Publishing: 64]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
40.  Gastaldelli A, Kozakova M, Højlund K, Flyvbjerg A, Favuzzi A, Mitrakou A, Balkau B. Fatty liver is associated with insulin resistance, risk of coronary heart disease, and early atherosclerosis in a large European population. Hepatology. 2009;49:1537-1544.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 258]  [Cited by in F6Publishing: 258]  [Article Influence: 17.2]  [Reference Citation Analysis (0)]
41.  Balkau B, Lange C, Vol S, Fumeron F, Bonnet F. Nine-year incident diabetes is predicted by fatty liver indices: the French D.E.S.I.R. study. BMC Gastroenterol. 2010;10:56.  [PubMed]  [DOI]  [Cited in This Article: ]
42.  Kim CH, Park JY, Lee KU, Kim JH, Kim HK. Fatty liver is an independent risk factor for the development of Type 2 diabetes in Korean adults. Diabet Med. 2008;25:476-481.  [PubMed]  [DOI]  [Cited in This Article: ]
43.  Calori G, Lattuada G, Ragogna F, Garancini MP, Crosignani P, Villa M, Bosi E, Ruotolo G, Piemonti L, Perseghin G. Fatty liver index and mortality: the Cremona study in the 15th year of follow-up. Hepatology. 2011;54:145-152.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 172]  [Cited by in F6Publishing: 186]  [Article Influence: 14.3]  [Reference Citation Analysis (0)]
44.  Browning JD, Szczepaniak LS, Dobbins R, Nuremberg P, Horton JD, Cohen JC, Grundy SM, Hobbs HH. Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity. Hepatology. 2004;40:1387-1395.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2633]  [Cited by in F6Publishing: 2593]  [Article Influence: 129.7]  [Reference Citation Analysis (3)]
45.  Bedogni G, Miglioli L, Masutti F, Tiribelli C, Marchesini G, Bellentani S. Prevalence of and risk factors for nonalcoholic fatty liver disease: the Dionysos nutrition and liver study. Hepatology. 2005;42:44-52.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 882]  [Cited by in F6Publishing: 868]  [Article Influence: 45.7]  [Reference Citation Analysis (0)]
46.  Fan JG, Zhu J, Li XJ, Chen L, Li L, Dai F, Li F, Chen SY. Prevalence of and risk factors for fatty liver in a general population of Shanghai, China. J Hepatol. 2005;43:508-514.  [PubMed]  [DOI]  [Cited in This Article: ]
47.  Sanyal AJ. AGA technical review on nonalcoholic fatty liver disease. Gastroenterology. 2002;123:1705-1725.  [PubMed]  [DOI]  [Cited in This Article: ]
48.  Hernaez R, Lazo M, Bonekamp S, Kamel I, Brancati FL, Guallar E, Clark JM. Diagnostic accuracy and reliability of ultrasonography for the detection of fatty liver: a meta-analysis. Hepatology. 2011;54:1082-1090.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 864]  [Cited by in F6Publishing: 975]  [Article Influence: 75.0]  [Reference Citation Analysis (0)]
49.  Ekstedt M, Franzén LE, Mathiesen UL, Thorelius L, Holmqvist M, Bodemar G, Kechagias S. Long-term follow-up of patients with NAFLD and elevated liver enzymes. Hepatology. 2006;44:865-873.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1647]  [Cited by in F6Publishing: 1624]  [Article Influence: 90.2]  [Reference Citation Analysis (0)]
50.  Rafiq N, Bai C, Fang Y, Srishord M, McCullough A, Gramlich T, Younossi ZM. Long-term follow-up of patients with nonalcoholic fatty liver. Clin Gastroenterol Hepatol. 2009;7:234-238.  [PubMed]  [DOI]  [Cited in This Article: ]
51.  Sanyal AJ, Brunt EM, Kleiner DE, Kowdley KV, Chalasani N, Lavine JE, Ratziu V, McCullough A. Endpoints and clinical trial design for nonalcoholic steatohepatitis. Hepatology. 2011;54:344-353.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 514]  [Cited by in F6Publishing: 537]  [Article Influence: 41.3]  [Reference Citation Analysis (0)]
52.  Ratziu V, Bellentani S, Cortez-Pinto H, Day C, Marchesini G. A position statement on NAFLD/NASH based on the EASL 2009 special conference. J Hepatol. 2010;53:372-384.  [PubMed]  [DOI]  [Cited in This Article: ]