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Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease

The purpose of this prospective study was to verify and compare the strengths of various blood markers and fibrosis models in predicting significant liver fibrosis. One hundred fifty-eight patients with chronic liver disease who underwent liver biopsy were enrolled. The mean age was 41 yr and male p...

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Autores principales: Lee, Han Hyo, Seo, Yeon Seok, Um, Soon Ho, Won, Nam Hee, Yoo, Hanna, Jung, Eun Suk, Kwon, Yong Dae, Park, Sanghoon, Keum, Bora, Kim, Yong Sik, Yim, Hyung Joon, Jeen, Yoon Tae, Chun, Hoon Jai, Kim, Chang Duck, Ryu, Ho Sang
Formato: Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800033/
https://www.ncbi.nlm.nih.gov/pubmed/20052350
http://dx.doi.org/10.3346/jkms.2010.25.1.67
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author Lee, Han Hyo
Seo, Yeon Seok
Um, Soon Ho
Won, Nam Hee
Yoo, Hanna
Jung, Eun Suk
Kwon, Yong Dae
Park, Sanghoon
Keum, Bora
Kim, Yong Sik
Yim, Hyung Joon
Jeen, Yoon Tae
Chun, Hoon Jai
Kim, Chang Duck
Ryu, Ho Sang
author_facet Lee, Han Hyo
Seo, Yeon Seok
Um, Soon Ho
Won, Nam Hee
Yoo, Hanna
Jung, Eun Suk
Kwon, Yong Dae
Park, Sanghoon
Keum, Bora
Kim, Yong Sik
Yim, Hyung Joon
Jeen, Yoon Tae
Chun, Hoon Jai
Kim, Chang Duck
Ryu, Ho Sang
author_sort Lee, Han Hyo
collection PubMed
description The purpose of this prospective study was to verify and compare the strengths of various blood markers and fibrosis models in predicting significant liver fibrosis. One hundred fifty-eight patients with chronic liver disease who underwent liver biopsy were enrolled. The mean age was 41 yr and male patients accounted for 70.2%. The common causes of liver disease were hepatitis B (67.7%) and C (16.5%) and fatty liver (9.5%). Stages of liver fibrosis (F0-4) were assessed according to the Batts and Ludwig scoring system. Significant fibrosis was defined as ≥F2. Sixteen blood markers were measured along with liver biopsy, and estimates of hepatic fibrosis were calculated using various predictive models. Predictive accuracy was evaluated with a receiver-operating characteristics (ROC) curve. Liver biopsy revealed significant fibrosis in 106 cases (67.1%). On multivariate analysis, α2-macroglobulin, hyaluronic acid, and haptoglobin were found to be independently related to significant hepatic fibrosis. A new predictive model was constructed based on these variables, and its area under the ROC curve was 0.91 (95% confidence interval, 0.85-0.96). In conclusion, α2-macroglobulin, hyaluronic acid, and haptoglobin levels are independent predictors for significant hepatic fibrosis in chronic liver disease.
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spelling pubmed-28000332010-01-05 Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease Lee, Han Hyo Seo, Yeon Seok Um, Soon Ho Won, Nam Hee Yoo, Hanna Jung, Eun Suk Kwon, Yong Dae Park, Sanghoon Keum, Bora Kim, Yong Sik Yim, Hyung Joon Jeen, Yoon Tae Chun, Hoon Jai Kim, Chang Duck Ryu, Ho Sang J Korean Med Sci Original Article The purpose of this prospective study was to verify and compare the strengths of various blood markers and fibrosis models in predicting significant liver fibrosis. One hundred fifty-eight patients with chronic liver disease who underwent liver biopsy were enrolled. The mean age was 41 yr and male patients accounted for 70.2%. The common causes of liver disease were hepatitis B (67.7%) and C (16.5%) and fatty liver (9.5%). Stages of liver fibrosis (F0-4) were assessed according to the Batts and Ludwig scoring system. Significant fibrosis was defined as ≥F2. Sixteen blood markers were measured along with liver biopsy, and estimates of hepatic fibrosis were calculated using various predictive models. Predictive accuracy was evaluated with a receiver-operating characteristics (ROC) curve. Liver biopsy revealed significant fibrosis in 106 cases (67.1%). On multivariate analysis, α2-macroglobulin, hyaluronic acid, and haptoglobin were found to be independently related to significant hepatic fibrosis. A new predictive model was constructed based on these variables, and its area under the ROC curve was 0.91 (95% confidence interval, 0.85-0.96). In conclusion, α2-macroglobulin, hyaluronic acid, and haptoglobin levels are independent predictors for significant hepatic fibrosis in chronic liver disease. The Korean Academy of Medical Sciences 2010-01 2009-12-26 /pmc/articles/PMC2800033/ /pubmed/20052350 http://dx.doi.org/10.3346/jkms.2010.25.1.67 Text en © 2010 The Korean Academy of Medical Sciences. http://jkms.org/index.php-main=terms This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0 (http://jkms.org/index.php-main=terms) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Han Hyo
Seo, Yeon Seok
Um, Soon Ho
Won, Nam Hee
Yoo, Hanna
Jung, Eun Suk
Kwon, Yong Dae
Park, Sanghoon
Keum, Bora
Kim, Yong Sik
Yim, Hyung Joon
Jeen, Yoon Tae
Chun, Hoon Jai
Kim, Chang Duck
Ryu, Ho Sang
Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease
title Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease
title_full Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease
title_fullStr Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease
title_full_unstemmed Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease
title_short Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease
title_sort usefulness of non-invasive markers for predicting significant fibrosis in patients with chronic liver disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800033/
https://www.ncbi.nlm.nih.gov/pubmed/20052350
http://dx.doi.org/10.3346/jkms.2010.25.1.67
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