Cargando…

Validation of Novel Fibrosis Index (NFI) for assessment of liver fibrosis: comparison with transient elastography (FibroScan)

BACKGROUND: In this study, we collated cheap and readily available non-invasive biomarkers and FibroScan score in predicting fibrosis stages in chronic hepatitis C virus (HCV) infection. METHODS: We studied 1898 patients with HCV infection confirmed by presence of HCV RNA in their serum. We compared...

Descripción completa

Detalles Bibliográficos
Autores principales: Hussain, Azhar, Gul, Muhammad Asif, Khalid, Muhammad Usama
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827736/
https://www.ncbi.nlm.nih.gov/pubmed/31749977
http://dx.doi.org/10.1136/bmjgast-2019-000316
_version_ 1783465345280901120
author Hussain, Azhar
Gul, Muhammad Asif
Khalid, Muhammad Usama
author_facet Hussain, Azhar
Gul, Muhammad Asif
Khalid, Muhammad Usama
author_sort Hussain, Azhar
collection PubMed
description BACKGROUND: In this study, we collated cheap and readily available non-invasive biomarkers and FibroScan score in predicting fibrosis stages in chronic hepatitis C virus (HCV) infection. METHODS: We studied 1898 patients with HCV infection confirmed by presence of HCV RNA in their serum. We compared the FibroScan score and fibrosis indices (FIs): aspartate transaminase (AST) to alanine transaminase (ALT) ratio (AAR), AST to Platelet Ratio Index (APRI), FI, fibrosis-4 (FIB-4), Age-Platelet Index (API), Pohl score, Fibrosis Cirrhosis Index (FCI). We developed a new FI, named Novel Fibrosis Index (NFI) calculated by the following formula: NFI=[(bilirubin×(ALP)(2))/(platelet count (albumin)(2))]−n. RESULTS: AAR, APRI, FI, FIB-4, API, Pohl score, FCI and NFI were able to predict fibrosis stage with correlation coefficient indices 0.848, 0.711, 0.618, 0.741, 0.529, 0.360, 0.477 and 0.26, respectively. Receiver operating characteristic curves showed sensitivity and specificity for predicting F3 by NFI=75.1% and 41.1% and F4 for NFI=72.1% and 47.1%, AAR=62.8% and 37.6%, APRI=74.6% and 87.6%, FIB-4=53.2% and 72.3%, FI=78.1% and 92.3%, API=78.1% and 60%, Pohl score=38.1% and 78.1% and FCI=78.1% and 88.1%. CONCLUSIONS: Our NFI predicted F3 and has been found to have more sensitivity and specificity in predicting F4 fibrosis stage than other FIs.
format Online
Article
Text
id pubmed-6827736
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-68277362019-11-20 Validation of Novel Fibrosis Index (NFI) for assessment of liver fibrosis: comparison with transient elastography (FibroScan) Hussain, Azhar Gul, Muhammad Asif Khalid, Muhammad Usama BMJ Open Gastroenterol Hepatology BACKGROUND: In this study, we collated cheap and readily available non-invasive biomarkers and FibroScan score in predicting fibrosis stages in chronic hepatitis C virus (HCV) infection. METHODS: We studied 1898 patients with HCV infection confirmed by presence of HCV RNA in their serum. We compared the FibroScan score and fibrosis indices (FIs): aspartate transaminase (AST) to alanine transaminase (ALT) ratio (AAR), AST to Platelet Ratio Index (APRI), FI, fibrosis-4 (FIB-4), Age-Platelet Index (API), Pohl score, Fibrosis Cirrhosis Index (FCI). We developed a new FI, named Novel Fibrosis Index (NFI) calculated by the following formula: NFI=[(bilirubin×(ALP)(2))/(platelet count (albumin)(2))]−n. RESULTS: AAR, APRI, FI, FIB-4, API, Pohl score, FCI and NFI were able to predict fibrosis stage with correlation coefficient indices 0.848, 0.711, 0.618, 0.741, 0.529, 0.360, 0.477 and 0.26, respectively. Receiver operating characteristic curves showed sensitivity and specificity for predicting F3 by NFI=75.1% and 41.1% and F4 for NFI=72.1% and 47.1%, AAR=62.8% and 37.6%, APRI=74.6% and 87.6%, FIB-4=53.2% and 72.3%, FI=78.1% and 92.3%, API=78.1% and 60%, Pohl score=38.1% and 78.1% and FCI=78.1% and 88.1%. CONCLUSIONS: Our NFI predicted F3 and has been found to have more sensitivity and specificity in predicting F4 fibrosis stage than other FIs. BMJ Publishing Group 2019-10-18 /pmc/articles/PMC6827736/ /pubmed/31749977 http://dx.doi.org/10.1136/bmjgast-2019-000316 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Hepatology
Hussain, Azhar
Gul, Muhammad Asif
Khalid, Muhammad Usama
Validation of Novel Fibrosis Index (NFI) for assessment of liver fibrosis: comparison with transient elastography (FibroScan)
title Validation of Novel Fibrosis Index (NFI) for assessment of liver fibrosis: comparison with transient elastography (FibroScan)
title_full Validation of Novel Fibrosis Index (NFI) for assessment of liver fibrosis: comparison with transient elastography (FibroScan)
title_fullStr Validation of Novel Fibrosis Index (NFI) for assessment of liver fibrosis: comparison with transient elastography (FibroScan)
title_full_unstemmed Validation of Novel Fibrosis Index (NFI) for assessment of liver fibrosis: comparison with transient elastography (FibroScan)
title_short Validation of Novel Fibrosis Index (NFI) for assessment of liver fibrosis: comparison with transient elastography (FibroScan)
title_sort validation of novel fibrosis index (nfi) for assessment of liver fibrosis: comparison with transient elastography (fibroscan)
topic Hepatology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827736/
https://www.ncbi.nlm.nih.gov/pubmed/31749977
http://dx.doi.org/10.1136/bmjgast-2019-000316
work_keys_str_mv AT hussainazhar validationofnovelfibrosisindexnfiforassessmentofliverfibrosiscomparisonwithtransientelastographyfibroscan
AT gulmuhammadasif validationofnovelfibrosisindexnfiforassessmentofliverfibrosiscomparisonwithtransientelastographyfibroscan
AT khalidmuhammadusama validationofnovelfibrosisindexnfiforassessmentofliverfibrosiscomparisonwithtransientelastographyfibroscan