期刊
CLINICAL BIOCHEMISTRY
卷 42, 期 7-8, 页码 624-629出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.clinbiochem.2008.11.005
关键词
Biomarkers; Diagnostic model; Fatty liver NASH; Nonalcoholic fatty liver disease; sICAM-1
资金
- Universidad de Buenos Aires [UBACYT M055]
- Agencia Nacional de Promocion Cientifica y Tecnologica [PICT 05-25920, PICT 2006-124]
- Consejo Nacional de Investigaciones Cientificas y Tecnicas [PIP 5195]
- Consejo de Investigacion de la Ciudad Autonoma de Bs.As. SS, ALB
Objective: To evaluate the performance of a diagnostic model based on a composite index using clinical and laboratory data, including cardiovascular biomarkers, to help practitioners to differentiate patients with simple steatosis from those with nonalcoholic steatohepatitis (NASH). Design and methods: 101 patients with biopsy proven features of nonalcoholic fatty liver disease were included. We investigated the usefulness of 9 biomarkers in predicting the histological disease severity, including routine biochemical tests, C-reactive protein, soluble intercellular adhesion molecule-1 (sICAM-1) and anthropometric evaluation. Receiver operating characteristic (ROC) curves and likelihood ratios (LRs) were used to evaluate the fit of each test. A composite index was calculated as the product of each individual test LR. Results: In a model patient who has all positive tests, the post-test probability for NASH would be 99.5%. Conclusion: The capacity of each individual biomarker to independently predict the disease outcome was lower than a composite index constructed after multiplying the LR for each individual test combined into a multimarker score. (C) 2008 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
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