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Iranian Journal of Pediatrics
Tehran University of Medical Sciences Press
ISSN: 1018-4406
EISSN: 1018-4406
Vol. 21, No. 2, 2011, pp. 181-187
Bioline Code: pe11031
Full paper language: English
Document type: Research Article
Document available free of charge

Iranian Journal of Pediatrics, Vol. 21, No. 2, 2011, pp. 181-187

 en Risk Score Model for Predicting Sonographic Non-alcoholic Fatty Liver Disease in Children and Adolescents
Sayed-Mohsen Hosseini; Saeid Mousavi; Parinaz Poursafa & Roya Kelishadi


Objective: This study aimed to develop and test the validity of a risk score to be used as a simple tool to identify those children at high risk of sonographic non-alcoholic fatty liver disease (NAFLD).
Methods: This cross-sectional study was conducted among 962 participants aged 6-18 years in Isfahan, Iran. They consisted of three groups of nearly equal number of normal-weight, overweight and obese individuals. Coefficients of the logistic regression models were used to assign a score value for each variable and the composite sonographic NAFLD risk score was calculated as the sum of those scores. Performance of model was assessed by receiver operating characteristic (ROC) curve procedure.
Findings: Data of 931 participants was included in the analysis. The sonographic findings of 16.8% of participants were compatible with NAFLD. Age, sex, body mass index, waist circumference and serum triglycerides level were diagnosed as factors associated with NAFLD. The risk score was calculated as 50 for sonographic NAFLD.
Conclusion: This study, to the best of our knowledge is the first of its kind in the pediatric age group, focuses on predicting sonographic NAFLD from easily-measured factors. It may suggest an association of hypertriglyceridemic-waist phenotype with NAFLD in the pediatric age group.

Fatty Liver; Risk Factors; Logistic Regression; Prediction; Prevention

© Copyright 2011 Iran Journal of Pediatrics.
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