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Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection

OBJECTIVE: Blood parameter ratios, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio (MLR), have been reported that they are correlated to the progression of liver disease. This study is aimed at evaluating the predictive value of PL...

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Autores principales: Ding, Rongrong, Zhou, Xinlan, Huang, Dan, Wang, Yanbing, Li, Xiufen, Yan, Li, Lu, Wei, Yang, Zongguo, Zhang, Zhanqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055419/
https://www.ncbi.nlm.nih.gov/pubmed/33937406
http://dx.doi.org/10.1155/2021/6644855
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author Ding, Rongrong
Zhou, Xinlan
Huang, Dan
Wang, Yanbing
Li, Xiufen
Yan, Li
Lu, Wei
Yang, Zongguo
Zhang, Zhanqing
author_facet Ding, Rongrong
Zhou, Xinlan
Huang, Dan
Wang, Yanbing
Li, Xiufen
Yan, Li
Lu, Wei
Yang, Zongguo
Zhang, Zhanqing
author_sort Ding, Rongrong
collection PubMed
description OBJECTIVE: Blood parameter ratios, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio (MLR), have been reported that they are correlated to the progression of liver disease. This study is aimed at evaluating the predictive value of PLR, NLR, and MLR for liver inflammation and fibrosis in patients with chronic hepatitis B (CHB). METHODS: We recruited 457 patients with CHB who underwent a liver biopsy and routine laboratory tests. Liver histology was assessed according to the Scheuer scoring system. The predictive accuracy for liver inflammation and fibrosis was assessed by receiver operating characteristics (ROC) analysis. RESULTS: PLR and NLR presented significantly reverse correlation to liver inflammation and fibrosis. However, these correlations were not observed for MLR and liver histology. The AUROCs of PLR for assessing G2-3 and G3 were 0.676 and 0.705 with cutoffs 74.27 and 68.75, respectively. The AUROCs of NLR in predicting inflammatory scores G2-3 and G3 were 0.616 and 0.569 with cutoffs 1.36 and 1.85, respectively. The AUROCs of PLR for evaluating fibrosis stages S3-4 and S4 were 0.723 and 0.757 with cutoffs 79.67 and 74.27, respectively. The AUROCs of NLR for evaluating fibrosis stages S3-4 and S4 were 0.590 with cutoff 1.14. CONCLUSION: Although PLR has similar predictive power of progressive liver fibrosis compared with APRI, FIB-4, and GPR in CHB patients, it has the advantage of less cost and easy application with the potential to be widely used in clinical practice.
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spelling pubmed-80554192021-04-29 Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection Ding, Rongrong Zhou, Xinlan Huang, Dan Wang, Yanbing Li, Xiufen Yan, Li Lu, Wei Yang, Zongguo Zhang, Zhanqing Biomed Res Int Research Article OBJECTIVE: Blood parameter ratios, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio (MLR), have been reported that they are correlated to the progression of liver disease. This study is aimed at evaluating the predictive value of PLR, NLR, and MLR for liver inflammation and fibrosis in patients with chronic hepatitis B (CHB). METHODS: We recruited 457 patients with CHB who underwent a liver biopsy and routine laboratory tests. Liver histology was assessed according to the Scheuer scoring system. The predictive accuracy for liver inflammation and fibrosis was assessed by receiver operating characteristics (ROC) analysis. RESULTS: PLR and NLR presented significantly reverse correlation to liver inflammation and fibrosis. However, these correlations were not observed for MLR and liver histology. The AUROCs of PLR for assessing G2-3 and G3 were 0.676 and 0.705 with cutoffs 74.27 and 68.75, respectively. The AUROCs of NLR in predicting inflammatory scores G2-3 and G3 were 0.616 and 0.569 with cutoffs 1.36 and 1.85, respectively. The AUROCs of PLR for evaluating fibrosis stages S3-4 and S4 were 0.723 and 0.757 with cutoffs 79.67 and 74.27, respectively. The AUROCs of NLR for evaluating fibrosis stages S3-4 and S4 were 0.590 with cutoff 1.14. CONCLUSION: Although PLR has similar predictive power of progressive liver fibrosis compared with APRI, FIB-4, and GPR in CHB patients, it has the advantage of less cost and easy application with the potential to be widely used in clinical practice. Hindawi 2021-04-10 /pmc/articles/PMC8055419/ /pubmed/33937406 http://dx.doi.org/10.1155/2021/6644855 Text en Copyright © 2021 Rongrong Ding et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ding, Rongrong
Zhou, Xinlan
Huang, Dan
Wang, Yanbing
Li, Xiufen
Yan, Li
Lu, Wei
Yang, Zongguo
Zhang, Zhanqing
Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection
title Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection
title_full Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection
title_fullStr Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection
title_full_unstemmed Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection
title_short Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection
title_sort predictive performances of blood parameter ratios for liver inflammation and advanced liver fibrosis in chronic hepatitis b infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055419/
https://www.ncbi.nlm.nih.gov/pubmed/33937406
http://dx.doi.org/10.1155/2021/6644855
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