SHFI: A novel noninvasive predictive model for significant fibrosis in patients with chronic hepatitis B


Arslan F. D., Karakoyun I., GİRENİZ TATAR B., PALA E. E., YILDIRIM M., Ulasoglu C., ...Daha Fazla

Hepatitis Monthly, cilt.18, sa.2, 2018 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 2
  • Basım Tarihi: 2018
  • Doi Numarası: 10.5812/hepatmon.63310
  • Dergi Adı: Hepatitis Monthly
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Chronic Hepatitis B, Liver Fibrosis, Serum Marker
  • Sağlık Bilimleri Üniversitesi Adresli: Evet

Özet

Background: This study aimed at creating a new predictive model of significant fibrosis in chronic hepatitis B using direct and indirect parameters and comparing this model with other noninvasive models for its validation in clinical settings. Methods: Patients (n = 81), according to the ISHAK score, were classified as mild and significant fibrosis. Serum matrix metalloproteinase-2, tissue inhibitor of metalloproteinase-2, beta-nerve growth factor levels, and indirect parameters were analyzed. To evaluate the presence of significant hepatic fibrosis, well-known conventional models were also evaluated. The cut-off values of each model were determined using receiver operating characteristic curves to distinguish patients with mild and significant fibrosis. Results: Significant hepatic fibrosis index-1 was constructed using the following equation: (matrix metalloproteinase-2 × age × prothrombin time × direct bilirubin)/ (albumin _ platelet). The sensitivity and specificity for significant hepatic fibrosis index-1 were 73.3% and95.6%, respectively. Area under the curve of significant hepatic fibrosis index-1was0.895 (P< 0.001), whichwashigher than the other models. Due to limitations of matrix metalloproteinase-2, significant hepatic fibrosis index-2 was constructed using a formula without matrix metalloproteinase-2. However, there were no significant differences between significant hepatic fibrosis index-1 and significant hepatic fibrosis index-2 or other models, except for 3 models. Conclusions: Significant hepatic fibrosis index-1 employs anewmarker; matrix metalloproteinase-2 along with routine parameters had the best diagnostic performance for significant fibrosis in patients with chronic hepatitis B. Using significant hepatic fibrosis index-1 or even significant hepatic fibrosis index-2 might be an alternative approach in place of liver biopsy to predict significant fibrosis in chronic hepatitis B cohort.