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Original Article

Development and validation of a simple index system to predict nonalcoholic fatty liver disease

The Korean Journal of Hepatology 2011;17(1):19-26.
Published online: March 21, 2011

Department of Family Medicine, Busan Medical Center, Busan, Korea.

Corresponding author: Jie Hyang Lim. Department of Family Medicine, Busan Medical Center, 96 Worldcup-gil, Yeonje-gu, Busan 611-072, Korea. Tel. +82-51-607-2185, Fax. +82-51-507-3001, hanna6368@empal.com
• Received: April 28, 2010   • Revised: September 6, 2010   • Accepted: December 9, 2010

Copyright © 2011 by The Korean Association for the Study of the Liver

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Citations

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Development and validation of a simple index system to predict nonalcoholic fatty liver disease
Korean J Hepatol. 2011;17(1):19-26.   Published online March 21, 2011
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Development and validation of a simple index system to predict nonalcoholic fatty liver disease
Image
Figure 1 The receiver operating characteristics (ROC) curve of the index system developed for the prediction of nonalcoholic fatty liver disease. The area under the ROC curve is 0.797 (95% confidence interval, 0.751-0.842), and when 3 points is used as a cut-off value, the sensitivity and specificity are 71.7% and 75.9%, respectively.
Development and validation of a simple index system to predict nonalcoholic fatty liver disease
C; AFP, α-fetoprotein; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure.

Table 1 Comparison of baseline characteristics between the control and nonalcoholic fatty liver disease (NAFLD) groups

Values are expressed as mean ± standard deviation or n (%).

*Numbers in square brackets indicate number of patients for whom data were missing [control, NAFLD].

P-value by independent sample t-tests (continuous variables) or chi-square tests (categorical variables).

NAFLD, nonalcoholic fatty liver disease; AST, aspartate aminotransferase; ALT, alanine aminotransferase; ALP, alkaline phosphatase; γ-GTP, γ-glutamyl transpeptidase; HDL, high density lipoprotein; HbA1C, hemoglobin A1C; AFP, α-fetoprotein; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure.

Table 2 Results of univariate analyses for predictors of NAFLD

Data are calculated using univariate logistic regression analyses.

*P-values refer to the difference in diagnosis of NAFLD between subgroups.

NAFLD, nonalcoholic fatty liver disease; CI, confidence interval; AST, aspartate aminotransferase; ALT, alanine aminotransferase; ALP, alkaline phosphatase; γ-GTP, γ-glutamyl transpeptidase; HDL, high density lipoprotein; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure.

Table 3 Adjusted odds ratios and clinical scores for predictors of NAFLD

Data are calculated using multiple logistic regression analyses.

*Clinical score was assigned 1 point to around 0.7 of logistic regression coefficients.

NAFLD, nonalcoholic fatty liver disease; CI, confidence interval; AST, aspartate aminotransferase; ALT, alanine aminotransferase; γ-GTP, γ-glutamyl transpeptidase; BMI, body mass index.

Table 4 Accuracy of the index system for the prediction of NAFLD

*The index system was induced by assigning 1 clinical score point to around 0.7 of logistic regression coefficients, and the index system ranged from 0 point at the minimum to 6 points at the maximum.

NAFLD, nonalcoholic fatty liver disease.