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A novel predictive model based on inflammatory markers to assess the prognosis of patients with HBV-related acute-on-chronic liver failure: a retrospective cohort study

BACKGROUND: Systemic inflammatory response is closely related to the development and prognosis of liver failure. This study aimed to establish a new model combing the inflammatory markers including neutrophil/lymphocyte ratio (NLR) and red blood cell distribution width (RDW) with several hematologic...

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Autores principales: Qiang, Li, Qin, Jiao, Sun, Changfeng, Sheng, Yunjian, Chen, Wen, Qiu, Bangdong, Chen, Xin, Chen, Yuanfang, Liu, Fei, Wu, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493843/
https://www.ncbi.nlm.nih.gov/pubmed/32938405
http://dx.doi.org/10.1186/s12876-020-01437-2
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author Qiang, Li
Qin, Jiao
Sun, Changfeng
Sheng, Yunjian
Chen, Wen
Qiu, Bangdong
Chen, Xin
Chen, Yuanfang
Liu, Fei
Wu, Gang
author_facet Qiang, Li
Qin, Jiao
Sun, Changfeng
Sheng, Yunjian
Chen, Wen
Qiu, Bangdong
Chen, Xin
Chen, Yuanfang
Liu, Fei
Wu, Gang
author_sort Qiang, Li
collection PubMed
description BACKGROUND: Systemic inflammatory response is closely related to the development and prognosis of liver failure. This study aimed to establish a new model combing the inflammatory markers including neutrophil/lymphocyte ratio (NLR) and red blood cell distribution width (RDW) with several hematological testing indicators to assess the prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). METHODS: A derivation cohort with 421 patients and a validation cohort with 156 patients were recruited from three hospitals. Retrospectively collecting their clinical data and laboratory testing indicators. Medcalc-15.10 software was employed for data analyses. RESULTS: Multivariate analysis indicated that RDW, NLR, INR, TBIL and Cr were risk factors for 90-day mortality in patients with HBV-ACLF. The risk assessment model is COX(RNTIC) = 0.053 × RDW + 0.027 × NLR + 0.003 × TBIL+ 0.317 × INR + 0.003 × Cr (RNTIC) with a cut-off value of 3.08 (sensitivity: 77.89%, specificity: 86.04%). The area under the receiver operating characteristics curve (AUC) of the RNTIC was 0.873 [95% CI(0.837–0.903)], better than the predictive value of MELD score [0.732, 95% CI(0.687–0.774)], MELD-Na [0.714, 95% CI(0.668–0.757)], CTP[0.703, 95% CI(0.657–0.747)]. In the validation cohort, RNTIC also performed a better prediction value than MELD score, MELD-Na and CTP with the AUC of [0.845, 95% CI(0.778–0.898)], [0.768, 95% CI (0.694–0.832)], [0.759, 95% CI(0.684–0.824)] and [0.718, 95% CI(0.641–0.787)] respectively. CONCLUSIONS: The inflammatory markers RDW and NLR could be used as independent predictors of 90-day mortality in patients with HBV-ACLF. Compared with MELD score, MELD-Na and CTP, RNTIC had a more powerful predictive value for prognosis of patients with HBV-ACLF.
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spelling pubmed-74938432020-09-23 A novel predictive model based on inflammatory markers to assess the prognosis of patients with HBV-related acute-on-chronic liver failure: a retrospective cohort study Qiang, Li Qin, Jiao Sun, Changfeng Sheng, Yunjian Chen, Wen Qiu, Bangdong Chen, Xin Chen, Yuanfang Liu, Fei Wu, Gang BMC Gastroenterol Research Article BACKGROUND: Systemic inflammatory response is closely related to the development and prognosis of liver failure. This study aimed to establish a new model combing the inflammatory markers including neutrophil/lymphocyte ratio (NLR) and red blood cell distribution width (RDW) with several hematological testing indicators to assess the prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). METHODS: A derivation cohort with 421 patients and a validation cohort with 156 patients were recruited from three hospitals. Retrospectively collecting their clinical data and laboratory testing indicators. Medcalc-15.10 software was employed for data analyses. RESULTS: Multivariate analysis indicated that RDW, NLR, INR, TBIL and Cr were risk factors for 90-day mortality in patients with HBV-ACLF. The risk assessment model is COX(RNTIC) = 0.053 × RDW + 0.027 × NLR + 0.003 × TBIL+ 0.317 × INR + 0.003 × Cr (RNTIC) with a cut-off value of 3.08 (sensitivity: 77.89%, specificity: 86.04%). The area under the receiver operating characteristics curve (AUC) of the RNTIC was 0.873 [95% CI(0.837–0.903)], better than the predictive value of MELD score [0.732, 95% CI(0.687–0.774)], MELD-Na [0.714, 95% CI(0.668–0.757)], CTP[0.703, 95% CI(0.657–0.747)]. In the validation cohort, RNTIC also performed a better prediction value than MELD score, MELD-Na and CTP with the AUC of [0.845, 95% CI(0.778–0.898)], [0.768, 95% CI (0.694–0.832)], [0.759, 95% CI(0.684–0.824)] and [0.718, 95% CI(0.641–0.787)] respectively. CONCLUSIONS: The inflammatory markers RDW and NLR could be used as independent predictors of 90-day mortality in patients with HBV-ACLF. Compared with MELD score, MELD-Na and CTP, RNTIC had a more powerful predictive value for prognosis of patients with HBV-ACLF. BioMed Central 2020-09-16 /pmc/articles/PMC7493843/ /pubmed/32938405 http://dx.doi.org/10.1186/s12876-020-01437-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Qiang, Li
Qin, Jiao
Sun, Changfeng
Sheng, Yunjian
Chen, Wen
Qiu, Bangdong
Chen, Xin
Chen, Yuanfang
Liu, Fei
Wu, Gang
A novel predictive model based on inflammatory markers to assess the prognosis of patients with HBV-related acute-on-chronic liver failure: a retrospective cohort study
title A novel predictive model based on inflammatory markers to assess the prognosis of patients with HBV-related acute-on-chronic liver failure: a retrospective cohort study
title_full A novel predictive model based on inflammatory markers to assess the prognosis of patients with HBV-related acute-on-chronic liver failure: a retrospective cohort study
title_fullStr A novel predictive model based on inflammatory markers to assess the prognosis of patients with HBV-related acute-on-chronic liver failure: a retrospective cohort study
title_full_unstemmed A novel predictive model based on inflammatory markers to assess the prognosis of patients with HBV-related acute-on-chronic liver failure: a retrospective cohort study
title_short A novel predictive model based on inflammatory markers to assess the prognosis of patients with HBV-related acute-on-chronic liver failure: a retrospective cohort study
title_sort novel predictive model based on inflammatory markers to assess the prognosis of patients with hbv-related acute-on-chronic liver failure: a retrospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493843/
https://www.ncbi.nlm.nih.gov/pubmed/32938405
http://dx.doi.org/10.1186/s12876-020-01437-2
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