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Which Metabolic Index is Appropriate for Predicting Non-alcoholic Steatohepatitis?
Jamali, Raika; Ebrahimi, Mehdi; Faryabi, Ali; Ashraf, Haleh.
Afiliação
  • Jamali R; Research Development Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Ebrahimi M; Research Development Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Faryabi A; Research Development Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Ashraf H; Research Development Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Middle East J Dig Dis ; 12(2): 99-105, 2020 Apr.
Article em En | MEDLINE | ID: mdl-32626562
ABSTRACT
BACKGROUND There are controversial ideas about the application of metabolic indices for the prediction of nonalcoholic steatohepatitis (NASH). In this study, we evaluated some novel metabolic indices for the screening of NASH. METHODS This prospective case-control study was performed in a gastroenterology outpatient clinic. Consecutively selected patients with persistently elevated aminotransferase levels and evidence of fatty liver in ultrasonography were enrolled. Those with other etiologies of aminotransferase elevation were excluded. The remaining was presumed to have NASH. The control group consisted of age and sex-matched subjects with normal liver function tests and liver ultrasound examinations. RESULTS Finally, 94 patients with steatohepatitis and 106 controls were included in the project. The mean liver fat content (LFC), aspartate aminotransferase, and alanine aminotransferase levels were significantly lower in the control group than in the NASH group. LFC was independently associated with the presence of NASH in logistic regression analysis. LFC had a good area under the curve for the prediction of NASH in ROC (receiver operating characteristic curve) analysis. CONCLUSION LFC seems to be a reliable metabolic index for the detection of patients with NASH.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article