Medical Journals

Non Invasive Evaluation of Liver Fibrosis in Paediatric Patients with Nonalcoholic Steatohepatitis.

Authors:
  • Iacobellis Angelo
  • Marcellini Matilde
  • Andriulli Angelo
  • Perri Francesco
  • Leandro Gioacchino
  • Devito Rita
  • Nobili Valerio

From: Division of Gastroenterology, Hospital Casa Sollievo della Sofferenza, IRCCS, San Giovanni Rotondo, Italy.

World journal of gastroenterology : WJG

  • Publish Date: Dec 2006
  • ISSN: 1007-9327
  • Volume: 12
  • Issue: 48
  • Pages: 7821-5
  • Medium: Print
  • Language: English
  • Citation (JAMA): Iacobellis Angelo, Marcellini Matilde, Andriulli Angelo, et al. Non Invasive Evaluation of Liver Fibrosis in Paediatric Patients with Nonalcoholic Steatohepatitis.. World J. Gastroenterol. Dec 2006;12:7821-5

Abstract

AIM: To identify the independent predictors of hepatic fibrosis in 69 children with nonalcoholic steatohepatitis (NASH) due to nonalcoholic fatty liver disease (NAFLD). METHODS: All patients with clinically suspected NASH underwent liver biopsy as a confirmatory test. The following clinical and biochemical variables at baseline were examined as likely predictors of fibrosis at histology: age, body mass index (BMI), systolic blood pressure (SBP), dyastolic blood pressure (DBP), fasting glucose, fasting insulin, homeostatic model assessment for insulin resistence (HOMA-IR), cholesterol, tryglicerides, alanine aminotransferase (ALT), aspartate aminotransferase (AST), AST/ALT ratio, gamma glutamil transferase (GT), platelet count, prothrombin time (PT). RESULTS: At histology 28 (40.6%) patients had no fibrosis and 41 (59.4%) had mild to bridging fibrosis. At multivariate analysis, BMI > 26.3 was the only independent predictor of fibrosis (OR = 5.85, 95% CI = 1.6-21). CONCLUSION: BMI helps identify children with NASH who might have fibrotic deposition in the liver.

Mesh Headings (Keywords): Adolescent, Biopsy, Body Mass Index, Body Weight, Child, Disease Progression, Fatty Liver, Female, Glucose, Humans, Liver, Liver Cirrhosis, Male, Multivariate Analysis, Predictive Value of Tests, Risk Factors


Check for Full Text / PubMed Unique Identifier (PMID): 17203527


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