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Establishment of MELD-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients

BACKGROUND: To develop a scoring system related to the lactate clearance (ΔLA) to predict the mortality risk (MELD-ΔLA) for critically ill cirrhotic patients. METHODS: In this retrospective cohort study, 881 critically ill cirrhotic patients from the Medical Information Mart for Intensive Care (MIMI...

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Autores principales: Li, Xin, Gong, Man, Fu, Shuangnan, Zhang, Jingjing, Wu, Shanbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164412/
https://www.ncbi.nlm.nih.gov/pubmed/35658837
http://dx.doi.org/10.1186/s12876-022-02351-5
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author Li, Xin
Gong, Man
Fu, Shuangnan
Zhang, Jingjing
Wu, Shanbin
author_facet Li, Xin
Gong, Man
Fu, Shuangnan
Zhang, Jingjing
Wu, Shanbin
author_sort Li, Xin
collection PubMed
description BACKGROUND: To develop a scoring system related to the lactate clearance (ΔLA) to predict the mortality risk (MELD-ΔLA) for critically ill cirrhotic patients. METHODS: In this retrospective cohort study, 881 critically ill cirrhotic patients from the Medical Information Mart for Intensive Care (MIMIC-III) database were included eventually. The outcomes of our study were defined as ICU death, 28-day, 90-day and 1-year mortality. Predictors were identified by multivariate Cox analysis to develop the predictive scoring system. The C-index and area under the curve (AUC) of receiver operator characteristic curve (ROC) were used to identify the predicting performance of the MELD-ΔLA, sequential organ failure assessment (SOFA), chronic liver failure-sequential organ failure assessment (CLIF-SOFA), the model for end-stage liver disease (MELD), Child–Pugh, chronic liver failure consortium acute-on-chronic liver failure (CLIF-C ACLF), chronic liver failure consortium-acute decompensation (CLIF-C AD) and MELD-Na scoring systems. Additionally, subgroup analysis was also performed based on whether critically ill cirrhotic patients underwent liver transplantation. RESULTS: Creatinine, bilirubin, international normalized ratio (INR), lactate first, ΔLA and vasopressors were closely associated with ICU death of liver critically ill cirrhotic patients. The C-index of the MELD-ΔLA in ICU death was 0.768 (95% CI 0.736–0.799) and the AUC for the MELD-ΔLA scoring system in predicting 28-day, 90-day, and 1-year mortality were 0.774 (95% CI 0.743–0.804), 0.765 (95% CI 0.735–0.796), and 0.757 (95% CI 0.726–0.788), suggested that MELD-ΔLA scoring system has a good predictive value than SOFA, CLIF-SOFA, MELD, Child–Pugh, CLIF-C ACLF, CLIF-C AD) and MELD-Na scoring systems. Additionally, the study also confirmed the good predictive value of MELD-ΔLA scoring system for critically ill cirrhotic patients regardless of undergoing liver transplantation. CONCLUSION: The developed MELD-ΔLA score is a simple scoring system in predicting the risk of ICU death, 28-day, 90-day and 1-year mortality for critically ill cirrhotic patients, which may have a good predictive performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02351-5.
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spelling pubmed-91644122022-06-05 Establishment of MELD-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients Li, Xin Gong, Man Fu, Shuangnan Zhang, Jingjing Wu, Shanbin BMC Gastroenterol Research BACKGROUND: To develop a scoring system related to the lactate clearance (ΔLA) to predict the mortality risk (MELD-ΔLA) for critically ill cirrhotic patients. METHODS: In this retrospective cohort study, 881 critically ill cirrhotic patients from the Medical Information Mart for Intensive Care (MIMIC-III) database were included eventually. The outcomes of our study were defined as ICU death, 28-day, 90-day and 1-year mortality. Predictors were identified by multivariate Cox analysis to develop the predictive scoring system. The C-index and area under the curve (AUC) of receiver operator characteristic curve (ROC) were used to identify the predicting performance of the MELD-ΔLA, sequential organ failure assessment (SOFA), chronic liver failure-sequential organ failure assessment (CLIF-SOFA), the model for end-stage liver disease (MELD), Child–Pugh, chronic liver failure consortium acute-on-chronic liver failure (CLIF-C ACLF), chronic liver failure consortium-acute decompensation (CLIF-C AD) and MELD-Na scoring systems. Additionally, subgroup analysis was also performed based on whether critically ill cirrhotic patients underwent liver transplantation. RESULTS: Creatinine, bilirubin, international normalized ratio (INR), lactate first, ΔLA and vasopressors were closely associated with ICU death of liver critically ill cirrhotic patients. The C-index of the MELD-ΔLA in ICU death was 0.768 (95% CI 0.736–0.799) and the AUC for the MELD-ΔLA scoring system in predicting 28-day, 90-day, and 1-year mortality were 0.774 (95% CI 0.743–0.804), 0.765 (95% CI 0.735–0.796), and 0.757 (95% CI 0.726–0.788), suggested that MELD-ΔLA scoring system has a good predictive value than SOFA, CLIF-SOFA, MELD, Child–Pugh, CLIF-C ACLF, CLIF-C AD) and MELD-Na scoring systems. Additionally, the study also confirmed the good predictive value of MELD-ΔLA scoring system for critically ill cirrhotic patients regardless of undergoing liver transplantation. CONCLUSION: The developed MELD-ΔLA score is a simple scoring system in predicting the risk of ICU death, 28-day, 90-day and 1-year mortality for critically ill cirrhotic patients, which may have a good predictive performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02351-5. BioMed Central 2022-06-03 /pmc/articles/PMC9164412/ /pubmed/35658837 http://dx.doi.org/10.1186/s12876-022-02351-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Li, Xin
Gong, Man
Fu, Shuangnan
Zhang, Jingjing
Wu, Shanbin
Establishment of MELD-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients
title Establishment of MELD-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients
title_full Establishment of MELD-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients
title_fullStr Establishment of MELD-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients
title_full_unstemmed Establishment of MELD-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients
title_short Establishment of MELD-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients
title_sort establishment of meld-lactate clearance scoring system in predicting death risk of critically ill cirrhotic patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164412/
https://www.ncbi.nlm.nih.gov/pubmed/35658837
http://dx.doi.org/10.1186/s12876-022-02351-5
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