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Intern Med J ; 51(4): 533-539, 2021 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-31994285

RESUMEN

BACKGROUND: Current guidelines suggest using transient elastography (TE) or aspartate aminotransferase to platelet ratio index (APRI) score <1 to exclude cirrhosis prior to commencing treatment for hepatitis C virus (HCV). Recently, fibrosis-4 (FIB-4) <0.93 has been shown to have a high negative predictive value (NPV) for the presence of cirrhosis. AIMS: To assess FIB-4 and APRI in a cohort of HCV patients and to validate FIB-4 <0.93 in populations of HCV-infected individuals with differing cirrhosis prevalence, including secondary care, primary care and prisons. METHODS: From our treatment database, we identified patients with complete data (n = 793). We calculated FIB-4 and APRI and correlated this with the presence of cirrhosis, determined by TE. We analysed the performance of FIB-4 and APRI using area under the receiver operating curve analysis. We calculated sensitivity, specificity, positive predictive value, NPV and number of patients misclassified using published cut-offs in populations with varying cirrhosis prevalence. RESULTS: FIB-4 was superior to APRI for the diagnosis of cirrhosis (area under the receiver operating curve 0.868 vs 0.802). In secondary care (cirrhosis prevalence 32%), APRI <1 had a NPV of 80% and misclassified 14% of patients. FIB-4 <0.93 had a NPV of 97% and misclassified 1%. In primary care and prison (cirrhosis prevalence 13% and 8%), the NPV for APRI <1 was 93% and 96%, respectively, but 5% of patients with cirrhosis were misclassified. FIB-4 <0.93 had excellent NPV in both primary care (97%) and prisoners (100%). CONCLUSIONS: FIB-4 <0.93 is highly efficient at ruling out cirrhosis in HCV patients and allows TE to be appropriately avoided, thereby streamlining treatment algorithms.


Asunto(s)
Hepatitis C , Cirrosis Hepática , Aspartato Aminotransferasas , Australia/epidemiología , Biomarcadores , Fibrosis , Humanos , Cirrosis Hepática/diagnóstico , Cirrosis Hepática/epidemiología , Curva ROC , Índice de Severidad de la Enfermedad
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