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Fibrosis assessment using Fibro Meter combined to first generation tests in hepatitis C 被引量:1
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作者 Maria Chiara Chindamo Jerome Boursier +7 位作者 Ronir Raggio Luiz Isabelle Fouchard-Hubert Vera Lúcia Nunes Pannain joao marcello de araújo neto Henrique Sérgio Moraes Coelho Renata de Mello Perez Paul Calès Cristiane Alves Villela-Nogueira 《World Journal of Hepatology》 CAS 2017年第6期310-317,共8页
AIMTo evaluate the performance of FibroMeter<sup>Virus3G</sup> combined to the first generation tests aspartate aminotransferase-to-platelet ratio index (APRI) or Forns index to assess significant fibrosis... AIMTo evaluate the performance of FibroMeter<sup>Virus3G</sup> combined to the first generation tests aspartate aminotransferase-to-platelet ratio index (APRI) or Forns index to assess significant fibrosis in chronic hepatitis C (CHC). METHODSFirst generation tests APRI or Forns were initially applied in a derivation population from Rio de Janeiro in Brazil considering cut-offs previously reported in the literature to evaluate significant fibrosis. FibroMeter<sup>Virus3G</sup> was sequentially applied to unclassified cases from APRI or Forns. Accuracy of non-invasive combination of tests, APRI plus FibroMeter<sup>Virus3G</sup> and Forns plus FibroMeter<sup>Virus3G</sup> was evaluated in the Brazilian derivation population. APRI plus FibroMeter<sup>Virus3G</sup> combination was validated in a population of CHC patients from Angers in France. All patients were submitted to liver biopsy staged according to METAVIR score by experienced hepatopathologists. Significant fibrosis was considered as METAVIR F ≥ 2. The fibrosis stage classification was used as the reference for accuracy evaluation of non-invasive combination of tests. Blood samples for the calculation of serum tests were collected on the same day of biopsy procedure or within a maximum 3 mo interval and stored at -70 °C. RESULTSSeven hundred and sixty CHC patients were included (222 in the derivation population and 538 in the validation group). In the derivation population, the FibroMeter<sup>Virus3G</sup> AUROC was similar to APRI AUROC (0.855 vs 0.815, P = 0.06) but higher than Forns AUROC (0.769, P Virus3G</sup> cut-off to discriminate significant fibrosis was 0.61 (80% diagnostic accuracy; 75% in the validation population, P = 0.134). The sequential combination of APRI or Forns with FibroMeter<sup>Virus3G</sup> in derivation population presented similar performance compared to FibroMeter<sup>Virus3G</sup> used alone (79% vs 78% vs 80%, respectively, P = 0.791). Unclassified cases of significant fibrosis after applying APRI and Forns corresponded to 49% and 54%, respectively, of the total sample. However, the combination of APRI or Forns with FibroMeter<sup>Virus3G</sup> allowed 73% and 77%, respectively, of these unclassified cases to be correctly evaluated. Moreover, this combination resulted in a reduction of FibroMeter<sup>Virus3G</sup> requirement in approximately 50% of the entire sample. The stepwise combination of APRI and FibroMeter<sup>Virus3G</sup> applied to the validation population correctly identified 74% of patients with severe fibrosis (F ≥ 3). CONCLUSIONThe stepwise combination of APRI or Forns with FibroMeter<sup>Virus3G</sup> may represent an accurate lower cost alternative when evaluating significant fibrosis, with no need for liver biopsy. 展开更多
关键词 Chronic hepatitis C FIBROSIS Liver biopsy Non-invasive methods FibroMeterVirus3G Combination algorithms
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