Publication Details

AFRICAN RESEARCH NEXUS

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immunology and microbiology

Investigating the efficiency of APRI, FIB-4, AAR and AARPRI as noninvasive markers for predicting hepatic fibrosis in chronic hepatitis B patients in Bangladesh

Open Microbiology Journal, Volume 13, No. 1, Year 2019

Background and Aims: Accurate, affordable non-invasive markers are highly needed for efficient diagnosis and management of liver fibrosis caused by chronic hepatitis B. This is the first study to investigate the diagnostic efficiency of Aspartate Transaminase to Platelet Ratio (APRI), Fibrosis Index (FIB-4), Aspartate transaminase to Alanine Transaminase Ratio (AAR) and AAR/Platelet ratio index (AARPRI) as non-invasive markers to predict hepatic fibrosis caused by Chronic Hepatitis B (CHB) in Bangladesh. Methods: In this study, a training cohort of 1041 CHB patients were recruited, whereas 104 and 109 CHB patients of matched ages were recruited as internal and external validation cohort groups respectively. Histological and hematological data were analyzed. METAVIR scoring system was used to classify liver fibrosis stages. Area Under Receiver Operating Curve (AUROC), correlations and cutoff values for the four diagnostic markers were calculated and assessed. Results: 92%, 81% and 84% of the patients had liver fibrosis in the training cohort, internal and external cohort groups respectively. Among the four noninvasive panels, APRI showed the best area under ROC; (0.767, CI: 0.780-0.914; 0.775) for the training cohort, (0.775, CI: 0.693-0.857), and (0.847, CI: 0.780-0.914) for the internal and external cohorts respectively. Cut-off value of APRI was 0.512 with sensitivity/specificity of 84%/67% in training cohort, 81% / 66% in the internal cohort, and 88% / 66% in an external cohort. The odds ratio for APRI was 32.95 (95%CI: 4.746-228.862, p<0.001). Conclusion: Among all the four tested markers, APRI is the most accurate non-invasive test to predict major liver fibrosis (F2-3) in Bangladeshi CHB patients.
Statistics
Citations: 8
Authors: 7
Affiliations: 6
Identifiers
Research Areas
Infectious Diseases
Study Design
Cohort Study
Case-Control Study