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      Development of non-alcoholic fatty liver disease scoring system among adult medical check-up patients: a large cross-sectional and prospective validation study

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          Abstract

          Background

          Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease in the community. However, NAFLD remains undiagnosed in most people with limited access to imaging facilities in most developing countries.

          Objective

          To examine the prevalence of NAFLD and to develop the risk scoring model for predicting the presence of NAFLD among adult medical check-up patients.

          Method

          A large prospective cross-sectional study was conducted among medical check-up patients who underwent transabdominal ultrasound examination between January and December 2013 in Medistra Hospital, Jakarta. Data were obtained from the patients’ medical records. Logistic regression analyses were undertaken to identify the best combination of risk factors for predicting fatty liver using the backward (likelihood ratio) approach. The adjusted odds ratio and 95% confidence interval were estimated using the logistic regression coefficient. The prediction model was assessed using the receiver operating characteristic curve and the Hosmer–Lemeshow goodness-of-fit test and was validated on a new, prospective cohort. Statistical analysis was done using SPSS version 17.

          Results

          A total of 1,054 cases was included in this study. Fatty liver was present in 538 (51.0%) patients. Bivariate analyses found associations among fatty liver and several risk factors. Six risk factors were incorporated to build the final prediction model. All scores were summed up to obtain the total score. A probability equation was developed by applying linear regression analysis on the total score. The prediction model had good diagnostic performance with an area under the receiver operating characteristic curve =0.833 (95% confidence interval =0.809–0.857). The Hosmer–Lemeshow goodness-of-fit P-value was 0.232, which indicated the appropriateness of the logistic regression model to predict fatty liver. On the validation set, the scoring system proved to be moderately accurate and can potentially be applied to larger population setting.

          Conclusion

          The presence of fatty liver in NAFLD patients can be predicted using our proposed fatty liver scoring system.

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          Most cited references14

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          Non alcoholic fatty liver disease and metabolic syndrome.

          P Paschos, K Paletas (2009)
          Non-alcoholic fatty liver disease (NAFLD) is a clinicopathologic entity increasingly recognized as a major health burden in developed countries. It includes a spectrum of liver damage ranging from simple steatosis to nonalcoholic steatohepatitis (NASH), advanced fibrosis, and rarely, progression to cirrhosis. Recent studies emphasize the role of insulin resistance, oxidative stress and subsequent lipid peroxidation, proinflammatory cytokines, adipokines and mitochondrial dysfunction in the development and progression of NAFLD. Furthermore, accumulating evidence supports an association between NAFLD and metabolic syndrome. Although the data are mainly epidemiological, the pathogenesis of NAFLD and metabolic syndrome seems to have common pathophysiological mechanisms, with focus on insulin resistance as a key factor. This review summarizes the current knowledge on the epidemiology, pathophysiology and diagnosis of both NAFLD and metabolic syndrome and the findings that strongly support the association of nonalcoholic fatty liver disease as a possible component in the cluster of metabolic syndrome.
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            Fat accumulation in the liver is associated with defects in insulin suppression of glucose production and serum free fatty acids independent of obesity in normal men.

            Anneli Seppälä-Lindroos, Satu Vehkavaara, Anna-Maija Häkkinen … (2002)
            We determined whether interindividual variation in hepatic insulin sensitivity could be attributed to variation in liver fat content (LFAT) independent of obesity. We recruited 30 healthy nondiabetic men whose LFAT (determined by proton spectroscopy); intraabdominal, sc, and total (determined by magnetic resonance imaging) fat; and insulin sensitivity of endogenous glucose rate of production (R(a)) and suppression of serum FFA [euglycemic insulin clamp combined with [3-(3)H]glucose (0-300 min); insulin infusion rate, 0.3 mU/kg.min, 120-300 min] were measured. The men were divided into groups of low (mean +/- SD, 1.7 +/- 0.2%) and high (10.5 +/- 2.0%) LFAT based on their median fat content. The low and high LFAT groups were comparable with respect to age (44 +/- 2 vs. 42 +/- 2 yr), body mass index (25 +/- 1 vs. 26 +/- 1 kg/m(2) ), waist to hip ratio (0.953 +/- 0.013 vs. 0.953 +/- 0.013), maximal oxygen uptake (35.6 +/- 1.5 vs. 33.5 +/- 1.5 ml/kg.min), and intraabdominal, sc, and total fat. The high compared with the low LFAT group had several features of insulin resistance, including fasting hyperinsulinemia (7.3 +/- 0.6 vs. 5.3 +/- 0.6 mU/liter; P < 0.02, high vs. low LFAT) hypertriglyceridemia (1.4 +/- 0.2 vs. 0.9 +/- 0.1 mmol/liter; P < 0.02), a low high density lipoprotein (HDL) cholesterol concentration (1.4 +/- 0.1 vs. 1.6 +/- 0.1 mmol/liter; P < 0.05), and a higher ambulatory 24-h systolic blood pressure (130 +/- 3 vs. 122 +/- 3 mm Hg; P < 0.05). Basal glucose R(a) and serum FFA were comparable between the groups, whereas insulin suppression of glucose R(a) [51 +/- 8 vs. 20 +/- 12 mg/m(2).min during 240-300 min (P < 0.05) or -55 +/- 7 vs. -85 +/- 12% below basal (P < 0.05, high vs. low LFAT)] and of serum FFA (299 +/- 33 vs. 212 +/- 13 micromol/liter; 240-300 min; P < 0.02) were impaired in the high compared with the low LFAT group. Insulin stimulation of glucose Rd were comparable in the men with high LFAT (141 +/- 12 mg/m(2).min) and those with low LFAT (156 +/- 14 mg/m(2).min; P = NS). Fat accumulation in the liver is, independent of body mass index and intraabdominal and overall obesity, characterized by several features of insulin resistance in normal weight and moderately overweight subjects.
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              Prevalence and associated factors of non-alcoholic fatty liver disease in patients with type-2 diabetes mellitus.

              Nathalie C Leite, Gil F Salles, Antonio L E Araujo … (2009)
              Diabetic patients have an increased prevalence and severity of non-alcoholic fatty liver disease (NAFLD). We aimed to investigate the prevalence and the factors associated with the presence of ultrasonographic NAFLD in type-2 diabetic individuals. In a cross-sectional design study, 180 type-2 diabetic patients were submitted to a complete clinical and laboratory evaluation and abdominal ultrasonography for NAFLD detection and grading. Statistical analysis included bivariate tests, analysis of variance (anova, for increasing severity of steatosis) and multivariate logistic regression. The prevalence of ultrasonographic NAFLD was 69.4% [95% confidence interval (CI): 58.3-82.7%]. Patients with NAFLD were more obese, had a higher waist circumference and serum triglyceride and alanine aminotransferase (ALT) levels than those without steatosis. Neither diabetic degenerative complication, nor glycaemic control was associated with liver steatosis. On multivariate analysis, a high serum triglycerides level [>2.82 mmol/L, odds ratio (OR): 3.7-4.1, 95% CI: 1.2-13.3] and a high-normal ALT level (> or =40 U/L, OR: 2.5-2.7, 95% CI: 1.2-5.9) were independently associated with hepatic steatosis, together with either the presence of obesity (OR: 7.1, 95% CI: 3.0-17.0) or of increased waist circumference (OR: 4.8, 95% CI: 1.9-12.2). Type-2 diabetic patients have a high prevalence of ultrasonographic NAFLD and its presence is associated with obesity, mainly abdominal, hypertriglyceridaemia and high-normal ALT levels. Non-alcoholic fatty liver disease in diabetic patients may develop and progress independent of the diabetes progression itself.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Diabetes Metab Syndr Obes
                Journal ID (iso-abbrev): Diabetes Metab Syndr Obes
                Journal ID (publisher-id): Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
                Title: Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
                Publisher: Dove Medical Press
                ISSN (Electronic): 1178-7007
                Publication date Collection: 2015
                Publication date (Electronic): 23 April 2015
                Volume: 8
                Pages: 213-218
                Affiliations
                [1 ]Digestive Disease and GI Oncology Centre, Medistra Hospital, University of Indonesia
                [2 ]Department of Internal Medicine, Hepatobiliary Division, Cipto Mangunkusumo Hospital, University of Indonesia
                [3 ]Radiology Department, Medistra Hospital, Jakarta, Indonesia
                Author notes
                Correspondence: Cosmas Rinaldi A Lesmana, Digestive Disease and GI Oncology Centre, Medistra Hospital, Jl Jend Gatot Subroto Kav 59, Jakarta 12950, Indonesia, Tel +62 21 5210200 Ext 105/106, Fax +62 21 5292 1837, Email medicaldr2001id@ 123456yahoo.com
                Article
                Publisher ID: dmso-8-213
                DOI: 10.2147/DMSO.S80364
                PMC ID: 4410820
                PubMed ID: 25960672
                SO-VID: d58aa061-c092-494c-b5d9-2575711395b5
                Copyright © © 2015 Lesmana et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License
                License:

                The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Subject: Original Research

                ScienceOpen disciplines: Endocrinology & Diabetes
                Keywords: fatty liver,scoring model,ultrasound,community,developing countries,diagnostic performance
                Data availability:
                ScienceOpen disciplines: Endocrinology & Diabetes
                Keywords: fatty liver, scoring model, ultrasound, community, developing countries, diagnostic performance

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