Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Discriminant value of serum HBV DNA levels as predictors of liver fibrosis in chronic hepatitis B
Journal of Viral Hepatitis, Volume 18, No. 7, Year 2011
Notification
URL copied to clipboard!
Description
Current guidelines recommend antiviral therapy in chronic hepatitis B (HBV) patients with significant histological disease. We aimed to compare histological fibrosis (METAVIR, ≥F2) in patients with HBV DNA ≥20 000 IU/mL vs≥2000 IU/mL and identify predictors of fibrosis. We performed prospective liver biopsies on 203 HBeAg-negative patients in four groups: Group I (n = 55): HBV DNA ≥20 000 IU/mL and persistently elevated alanine aminotransferase (ALT) levels (PEALT; >40 U/L); Group II (n = 34): HBV DNA ≥20 000 IU/mL and persistently normal ALT (PNALT); Group III (n = 40): HBV DNA <20 000 IU/mL and PEALT; and Group IV (n = 74): HBV DNA <20 000 IU/mL, and PNALT. We reanalysed all groups in relation to updated cut-off for treatable viremia (2000 IU/mL). Genotype D was detected in 86% of patients. Hepatic fibrosis ≥F2 was detected in 72.7%, 52.9%, 57.5% and 18.9% in Groups I-IV, respectively (P < 0.0001). Except in Group II with a trend for lower ≥F2 fibrosis (P = 0.067), there was no significant difference by using HBV DNA cut-off 20 000 vs 2000 IU/mL. Multivariate logistic regression analysis identified study Group IV (OR, 0.0276; CI: 0.088-0.868; P = 0.0276) and milder (A0-1) necroinflammatory grade (OR, 0.135; CI: 0.063-0.287; P < 0.0001) as independent predictors of ≥F2 fibrosis. The specificity, positive and negative predictive values for PEALT in detection of ≥F2 fibrosis for viremia ≥2000 IU/mL (80%, 69% and 65%, respectively) or ≥20 000 IU/mL (86%, 73% and 63%, respectively) were similar, with a marginal gain in sensitivity (51%vs 42%, respectively). Significant fibrosis is prevalent in a large proportion of HBeAg-negative patients with high viremia and persistently normal ALT. Lower HBV DNA cut-offs could be adopted with marginal gains in fibrosis detection and without loss of diagnostic accuracy. © 2011 Blackwell Publishing Ltd.
Authors & Co-Authors
Sanai, Faisal M.
Saudi Arabia, Riyadh
King Abdulaziz Medical City - Riyadh
Saudi Arabia, Riyadh
King Saud University
Helmy, Ahmed
Saudi Arabia, Riyadh
King Faisal Specialist Hospital and Research Centre
Bzeizi, Khalid Ibrahim
Saudi Arabia, Riyadh
Riyadh Military Hospital
Babatin, Mohammed A.
Saudi Arabia, Jeddah
King Fahd General Hospital
Alqahtani, Saleh A.
Saudi Arabia, Riyadh
King Faisal Specialist Hospital and Research Centre
Saudi Arabia, Riyadh
King Saud University
Al-Ashgar, Hamad Ibrahim
Saudi Arabia, Riyadh
King Faisal Specialist Hospital and Research Centre
Al-Mdani, Abdallah S.
Saudi Arabia, Riyadh
Riyadh Military Hospital
Al-Akwaa, Ahmad M.
Saudi Arabia, Al-ahsa
King Abdulaziz Hospital - al Ahsa
Almutharea, S.
Saudi Arabia, Jeddah
King Fahd General Hospital
Khan, Mohammed Qaseem
Saudi Arabia, Riyadh
King Faisal Specialist Hospital and Research Centre
Alghamdi, Abdullah Saeed
Saudi Arabia, Jeddah
King Fahd General Hospital
Farah, Taha
Saudi Arabia, Jeddah
King Fahd General Hospital
Al-Hamoudi, Waleed Khalid
Saudi Arabia, Riyadh
King Saud University
Saadeh, Mayssa
Saudi Arabia, Riyadh
National Guard Health Affairs
Abdo, Ayman Assad
Saudi Arabia, Riyadh
King Saud University
Statistics
Citations: 28
Authors: 15
Affiliations: 7
Identifiers
Doi:
10.1111/j.1365-2893.2011.01437.x
ISSN:
13520504
e-ISSN:
13652893
Research Areas
Genetics And Genomics
Infectious Diseases
Study Design
Cohort Study
Study Approach
Quantitative