Identification of individuals with non-alcoholic fatty liver disease by the diagnostic criteria for the metabolic syndrome

Hamaguchi, Masahide; Takeda, Noriyuki; Kojima, Takao; Ohbora, Akihiro; Kato, Takeshi; Sarui, Hiroshi; Fukui, Michiaki; Nagata, Chisato; Takeda, Jun

doi:10.3748/wjg.v18.i13.1508

Cited by 85 publications

(62 citation statements)

References 35 publications

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“…Similar results have been found in other national and regional populations [5e10]. Cross-sectional studies in other Asian groups, including Taiwanese adults [5], Japanese men and women [6], and urban south Indians [7], have demonstrated that MetS and its components are associated with an increased risk of NAFLD. Our prospective cohort further confirmed these findings.…”

Section: Discussionsupporting

confidence: 78%

“…A series of cross-sectional studies demonstrated that MetS and its components were associated with an increased risk of NAFLD in Taiwanese adults [5], Japanese men and women [6], urban south Indians [7], US adolescents [8] and Mexican patients [9]. Furthermore, MetS was identified as a strong predictor of NAFLD in a prospective study of 4401 Japanese users of a medical check-up system [10].…”

Section: Introductionmentioning

confidence: 99%

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Metabolic syndrome and its components as predictors of nonalcoholic fatty liver disease in a northern urban Han Chinese population: A prospective cohort study

Zhang

et al. 2015

Atherosclerosis

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Section: Discussionsupporting

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Metabolic syndrome and its components as predictors of nonalcoholic fatty liver disease in a northern urban Han Chinese population: A prospective cohort study

Zhang

et al. 2015

Atherosclerosis

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“…Another fatty liver score derived by Kotronen et al [14] suggested that the presence of the MetS and of type 2 diabetes, the levels of fasting serum insulin and AST and the AST/ALT ratio are independent predictors of FLD status. Moreover, Hamaguchi and colleagues recently reported an effective prediction of NAFLD from features of the MetS alone [54]. Even though MetS and AST/ALT ratio differed significantly between FLD patients and controls, however, the diagnostic accuracy was not improved notably by the inclusion of these potential predictors in our study.…”

Section: Discussioncontrasting

confidence: 67%

Diagnosing Fatty Liver Disease: A Comparative Evaluation of Metabolic Markers, Phenotypes, Genotypes and Established Biomarkers

Siegert

Wang-Sattler

et al. 2013

PLoS ONE

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BackgroundTo date, liver biopsy is the only means of reliable diagnosis for fatty liver disease (FLD). Owing to the inevitable biopsy-associated health risks, however, the development of valid noninvasive diagnostic tools for FLD is well warranted.AimWe evaluated a particular metabolic profile with regard to its ability to diagnose FLD and compared its performance to that of established phenotypes, conventional biomarkers and disease-associated genotypes.MethodsThe study population comprised 115 patients with ultrasound-diagnosed FLD and 115 sex- and age-matched controls for whom the serum concentration was measured of 138 different metabolites, including acylcarnitines, amino acids, biogenic amines, hexose, phosphatidylcholines (PCs), lyso-PCs and sphingomyelins. Established phenotypes, biomarkers, disease-associated genotypes and metabolite data were included in diagnostic models for FLD using logistic regression and partial least-squares discriminant analysis. The discriminative power of the ensuing models was compared with respect to area under curve (AUC), integrated discrimination improvement (IDI) and by way of cross-validation (CV).ResultsUse of metabolic markers for predicting FLD showed the best performance among all considered types of markers, yielding an AUC of 0.8993. Additional information on phenotypes, conventional biomarkers or genotypes did not significantly improve this performance. Phospholipids and branched-chain amino acids were most informative for predicting FLD.ConclusionWe show that the inclusion of metabolite data may substantially increase the power to diagnose FLD over that of models based solely upon phenotypes and conventional biomarkers.

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“…The prevalence of NAFLD was increased according to the increase of BMI or abdominal circumference reported from Japan 24 . But other report concluded that waist circumference is an independent predictor of advance histological changes in NAFLD than BMI 25,26 .…”

Section: Discussionmentioning

confidence: 98%

Prevalence and Predictor of Nonalcoholic Steatohepatitis (NASH) in Nonalcoholic Fatty Liver Disease (NAFLD)

Alam¹,

Alam²,

Alam³

et al. 2015

J. Bangladesh Coll. Phys.

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Fatty liver is a common cause of chronic liver disease in developed as well as developing countries.We have designed this study to estimate the prevalence and predictors for non alcoholic steatohepatitis (NASH) in non alcoholic fatty liver disease (NAFLD). We have included 493 patients with sonographic evidence of fatty change in liver and 177 of them had done liver biopsy for histopathological study. Other causes of liver disease and alcohol consumption were excluded. Metabolic syndrome and biochemical and anthropometric evaluation was done.

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Identification of individuals with non-alcoholic fatty liver disease by the diagnostic criteria for the metabolic syndrome

Abstract: Authors could determine NAFLD effectively in epidemiological study by modifying the usage of the criteria for metabolic syndrome.

Cited by 85 publications

References 35 publications

Metabolic syndrome and its components as predictors of nonalcoholic fatty liver disease in a northern urban Han Chinese population: A prospective cohort study

Metabolic syndrome and its components as predictors of nonalcoholic fatty liver disease in a northern urban Han Chinese population: A prospective cohort study

Diagnosing Fatty Liver Disease: A Comparative Evaluation of Metabolic Markers, Phenotypes, Genotypes and Established Biomarkers

Prevalence and Predictor of Nonalcoholic Steatohepatitis (NASH) in Nonalcoholic Fatty Liver Disease (NAFLD)

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