Skip to content
akaturk Academic measurement

Article detail · 2017

Noninvasive Models to Predict Liver Fibrosis in Patients with Chronic Hepatitis B: A Study from Turkey

Journal

Hepatitis Monthly

ISSN 1735-143X

YÖKSİS OpenAlex Open access · hybrid SJR Q2 JCR Q4 Citations 7 Percentile 67.0% FWCI 0.5
Year
2017
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Hepatitis Monthly
  • Catalog match (ISSN) Hepatitis Monthly
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

Background: Many noninvasive methods, including aspartate amino transaminase (AST)/alanine amino transaminase (ALT) ratio (AAR), AST-to-platelet ratio index (APRI), Bonacini cirrhosis discriminant score (CDS), fibrosis-4 (FIB4) index, and age-platelet index (API), have been described to determine the stage of hepatic fibrosis. However, these methods are developed for patients with chronic hepatitis C (CHC) and produce conflicting results in the prediction of liver fibrosis in patients with chronic hepatitis B (CHB). Objectives: The aim of this study was to evaluate the relationship between 7 noninvasive models, including AAR, APRI, CDS, API, FIB-4, neutrophil-to-lymphocyte ratio (NLR), and red cell distribution width (RDW)-to-platelet ratio (RPR) in patients with CHB. Methods: The study population included all patients with CHB, undergoing liver biopsy to determine HBsAg and HBV DNA positivity in more than 6 months. Results: A total of 2520 treatment-naive CHB patients from 40 different centers were included in the study. In total, 62.6% of the patients were male, and the mean age was 40.60 ± 12.34 years (minimum, 18 years; maximum, 77 years). The Ishak fibrosis score was ≥ 3 in 29.8% of the patients, indicating significant fibrosis. The mean API, APRI, CDS, NLR, FIB4, and RPR scores in the noninvasive models were significantly different between the groups with significant and low fibrosis (P < 0.05). All the noninvasive models (API, APRI, AAR, CDS, NLR, RPR, and FIB4) were found to be significant in the discrimination of cirrhosis (P < 0.05). In the multiple logistic regression analysis, CDS, albumin, alkaline phosphatase (ALP), total bilirubin, neutrophil count, NLR, mean platelet volume (MPV), and FIB4 were independent indices for cirrhosis. Conclusions: In the present study, the role of noninvasive tests in the prediction of liver fibrosis stage and cirrhosis was evaluated in a large cohort of CHB patients. Overall, noninvasive models are gradually becoming more promising. Accordingly, the need for liver biopsy can be reduced with a combination of noninvasive methods in the future.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

7 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. PINAR KORKMAZ
  2. NEŞE DEMİRTÜRK AFYONKARAHİSAR SAĞLIK BİLİMLERİ ÜNİVERSİTESİ
  3. AYŞE BATIREL
  4. AHMET CEM YARDIMCI
  5. UNAL CAĞIR
  6. SALİH ATAKAN NEMLİ
  7. FATİME KORKMAZ
  8. FÜSUN ZEYNEP AKÇAM
  9. HÜSEYİN ŞENER BARUT
  10. BURCU BAYRAK
  11. FARUK KARAKEÇİLİ ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ
  12. HÜSEYİN TARAKÇI
  13. ZERRİN YULUĞKURAL
  14. ESMA YÜKSEL
  15. NAZLIM AKTUĞ DEMİR
  16. ONUR URAL
  17. ŞUA SÜMER
  18. REZAN HARMAN
  19. AYTEN KADANALI
  20. SİNAN ÖZTÜRK
  21. SILA AKHAN
  22. NECLA EREN TULEK
  23. DERYA KETEN
  24. ALPER ŞENER
  25. BİLGEHAN AYGEN
  26. AYŞEGÜL KOCAGÜL ÇELİKBAŞ
  27. FATMA YILMAZ KARADAĞ
  28. GÜLE ÇINAR
  29. EYÜP ARSLAN
  30. CAHİDE SAÇLIGİL
  31. GÜLFEM AKENGİN ÖCAL
  32. ALPASLAN TANOĞLU
  33. ASIM ÜLÇAY
  34. ERGENEKON KARAGÖZ
  35. NEŞE SALTOĞLU İSTANBUL ÜNİVERSİTESİ-CERRAHPAŞA
  36. HAYRETTİN AKDENİZ
  37. FATMA SIRMATEL
  38. SELCAN ARSLAN ÖZEL
  39. AYNUR AYNIOĞLU
  40. SERMİN DİRGEN ÇAYLAK
  41. İLHAMİ ÇELİK
  42. YEŞİM ÇAĞLAR BALIKESİR ÜNİVERSİTESİ
  43. ZEHRA BEŞTEPE DURSUN
  44. MUHAMMED BEKÇİBAŞI
  45. GÜNAY TUNCER ERTEM
  46. ARZU TIĞLI
  47. ELİF SARGIN ALTINOK
  48. KEMAL AVŞAR
  49. HÜSEYİN KAYA SÜER
  50. MURAT SAYAN