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Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection

Large-scale studies to assess the utility of the Mac-2 binding protein glycosylation isomer (M2BPGi) in predicting hepatic fibrosis in patients with hepatitis C virus (HCV) infection are limited. Serum M2BPGi level determination was performed in 1460 patients with HCV who received liver stiffness me...

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Autores principales: Liu, Chen-Hua, Liu, Chun-Jen, Su, Tung-Hung, Huang, Shang-Chin, Tseng, Tai-Chung, Wu, Jo-Hsuan, Chen, Pei-Jer, Kao, Jia-Horng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689896/
https://www.ncbi.nlm.nih.gov/pubmed/36359492
http://dx.doi.org/10.3390/diagnostics12112650
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author Liu, Chen-Hua
Liu, Chun-Jen
Su, Tung-Hung
Huang, Shang-Chin
Tseng, Tai-Chung
Wu, Jo-Hsuan
Chen, Pei-Jer
Kao, Jia-Horng
author_facet Liu, Chen-Hua
Liu, Chun-Jen
Su, Tung-Hung
Huang, Shang-Chin
Tseng, Tai-Chung
Wu, Jo-Hsuan
Chen, Pei-Jer
Kao, Jia-Horng
author_sort Liu, Chen-Hua
collection PubMed
description Large-scale studies to assess the utility of the Mac-2 binding protein glycosylation isomer (M2BPGi) in predicting hepatic fibrosis in patients with hepatitis C virus (HCV) infection are limited. Serum M2BPGi level determination was performed in 1460 patients with HCV who received liver stiffness measurement (LSM) using transient elastography (TE). The correlation of LSM and grade of hepatic fibrosis as staged by TE with M2BPGi was assessed. Receiver operating characteristic (ROC) curves were constructed to evaluate the diagnostic power of M2BPGi for fibrosis stages of ≥F2, ≥F3, and F4. The selected M2BPGi cutoff values were chosen based on the maximal Youden index, a positive likelihood ratio (LR) ≥ 10, and a negative LR ≤ 0.1. Serum M2BPGi level was highly correlated with LSM (Pearson correlation coefficient: 0.567, p < 0.001) and hepatic fibrosis stage (Spearman’s rank correlation coefficient: 0.772, p < 0.001). The areas under ROC curves (AUROCs) of M2BPGi for ≥F2, ≥F3, and F4 were 0.865 (95% confidence interval [CI]: 0.846–0.884), 0.937 (95 % CI: 0.922–0.952), and 0.962 (95% CI: 0.951–0.972). The maximal Youden indices for ≥F2, ≥F3, and F4 were 1.72, 2.65, and 3.93. By selecting M2BPGi cutoff values with a positive LR ≥ 10 and a negative LR ≤ 0.1, clinicians were able to correctly discriminate F2, F3, and F4 in 69.1%, 77.8%, and 90.1% of patients. In conclusion, serum M2BPGi is a good diagnostic tool to predict the severity of hepatic fibrosis in patients with HCV infection.
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spelling pubmed-96898962022-11-25 Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection Liu, Chen-Hua Liu, Chun-Jen Su, Tung-Hung Huang, Shang-Chin Tseng, Tai-Chung Wu, Jo-Hsuan Chen, Pei-Jer Kao, Jia-Horng Diagnostics (Basel) Article Large-scale studies to assess the utility of the Mac-2 binding protein glycosylation isomer (M2BPGi) in predicting hepatic fibrosis in patients with hepatitis C virus (HCV) infection are limited. Serum M2BPGi level determination was performed in 1460 patients with HCV who received liver stiffness measurement (LSM) using transient elastography (TE). The correlation of LSM and grade of hepatic fibrosis as staged by TE with M2BPGi was assessed. Receiver operating characteristic (ROC) curves were constructed to evaluate the diagnostic power of M2BPGi for fibrosis stages of ≥F2, ≥F3, and F4. The selected M2BPGi cutoff values were chosen based on the maximal Youden index, a positive likelihood ratio (LR) ≥ 10, and a negative LR ≤ 0.1. Serum M2BPGi level was highly correlated with LSM (Pearson correlation coefficient: 0.567, p < 0.001) and hepatic fibrosis stage (Spearman’s rank correlation coefficient: 0.772, p < 0.001). The areas under ROC curves (AUROCs) of M2BPGi for ≥F2, ≥F3, and F4 were 0.865 (95% confidence interval [CI]: 0.846–0.884), 0.937 (95 % CI: 0.922–0.952), and 0.962 (95% CI: 0.951–0.972). The maximal Youden indices for ≥F2, ≥F3, and F4 were 1.72, 2.65, and 3.93. By selecting M2BPGi cutoff values with a positive LR ≥ 10 and a negative LR ≤ 0.1, clinicians were able to correctly discriminate F2, F3, and F4 in 69.1%, 77.8%, and 90.1% of patients. In conclusion, serum M2BPGi is a good diagnostic tool to predict the severity of hepatic fibrosis in patients with HCV infection. MDPI 2022-10-31 /pmc/articles/PMC9689896/ /pubmed/36359492 http://dx.doi.org/10.3390/diagnostics12112650 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Chen-Hua
Liu, Chun-Jen
Su, Tung-Hung
Huang, Shang-Chin
Tseng, Tai-Chung
Wu, Jo-Hsuan
Chen, Pei-Jer
Kao, Jia-Horng
Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection
title Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection
title_full Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection
title_fullStr Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection
title_full_unstemmed Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection
title_short Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection
title_sort serum mac-2 binding protein glycosylation isomer to predict the severity of hepatic fibrosis in patients with hepatitis c virus infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689896/
https://www.ncbi.nlm.nih.gov/pubmed/36359492
http://dx.doi.org/10.3390/diagnostics12112650
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