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Derivation and Validation of a Prognostic Model for Acute Decompensated Cirrhosis Patients

BACKGROUND: Acute decompensated cirrhosis (AD) is related to high medical costs and high mortality. We recently proposed a new score model to predict the outcome of AD patients and compared it with the common score model (CTP, MELD and CLIF-C AD score) in the training and validation sets. MATERIALS...

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Autores principales: Zhang, Yue, Chen, Peng, Zhang, Wang, Huang, Chenkai, Zhu, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204755/
https://www.ncbi.nlm.nih.gov/pubmed/37228767
http://dx.doi.org/10.2147/PPA.S412063
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author Zhang, Yue
Chen, Peng
Zhang, Wang
Huang, Chenkai
Zhu, Xuan
author_facet Zhang, Yue
Chen, Peng
Zhang, Wang
Huang, Chenkai
Zhu, Xuan
author_sort Zhang, Yue
collection PubMed
description BACKGROUND: Acute decompensated cirrhosis (AD) is related to high medical costs and high mortality. We recently proposed a new score model to predict the outcome of AD patients and compared it with the common score model (CTP, MELD and CLIF-C AD score) in the training and validation sets. MATERIALS AND METHODS: A total of 703 patients with AD were enrolled from The First Affiliated Hospital of Nanchang University between December 2018 and May 2021. These patients were randomly assigned to the training set (n=528) and validation set (n=175). Risk factors affecting prognosis were identified by Cox regression analysis and then used to establish a new score model. The prognostic value was determined by the area under the receiver operating characteristic curve (AUROC). RESULTS: A total of 192 (36.3%) patients in the training cohort and 51 (29.1%) patients in the validation cohort died over the course of 6 months. A new score model was developed with predictors including age, bilirubin, INR, WBC, albumin, ALT and BUN. The new prognostic score (0.022×Age + 0.003×TBil + 0.397×INR + 0.023×WBC- 0.07×albumin + 0.001×ALT + 0.038×BUN) for long-term mortality was superior to three other scores based on both training and internal validation studies. CONCLUSION: This new score model appears to be a valid tool for assessing the long-term survival of AD patients, improving the prognostic value compared with the CTP, MELD and CLIF-C AD scores.
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spelling pubmed-102047552023-05-24 Derivation and Validation of a Prognostic Model for Acute Decompensated Cirrhosis Patients Zhang, Yue Chen, Peng Zhang, Wang Huang, Chenkai Zhu, Xuan Patient Prefer Adherence Original Research BACKGROUND: Acute decompensated cirrhosis (AD) is related to high medical costs and high mortality. We recently proposed a new score model to predict the outcome of AD patients and compared it with the common score model (CTP, MELD and CLIF-C AD score) in the training and validation sets. MATERIALS AND METHODS: A total of 703 patients with AD were enrolled from The First Affiliated Hospital of Nanchang University between December 2018 and May 2021. These patients were randomly assigned to the training set (n=528) and validation set (n=175). Risk factors affecting prognosis were identified by Cox regression analysis and then used to establish a new score model. The prognostic value was determined by the area under the receiver operating characteristic curve (AUROC). RESULTS: A total of 192 (36.3%) patients in the training cohort and 51 (29.1%) patients in the validation cohort died over the course of 6 months. A new score model was developed with predictors including age, bilirubin, INR, WBC, albumin, ALT and BUN. The new prognostic score (0.022×Age + 0.003×TBil + 0.397×INR + 0.023×WBC- 0.07×albumin + 0.001×ALT + 0.038×BUN) for long-term mortality was superior to three other scores based on both training and internal validation studies. CONCLUSION: This new score model appears to be a valid tool for assessing the long-term survival of AD patients, improving the prognostic value compared with the CTP, MELD and CLIF-C AD scores. Dove 2023-05-19 /pmc/articles/PMC10204755/ /pubmed/37228767 http://dx.doi.org/10.2147/PPA.S412063 Text en © 2023 Zhang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zhang, Yue
Chen, Peng
Zhang, Wang
Huang, Chenkai
Zhu, Xuan
Derivation and Validation of a Prognostic Model for Acute Decompensated Cirrhosis Patients
title Derivation and Validation of a Prognostic Model for Acute Decompensated Cirrhosis Patients
title_full Derivation and Validation of a Prognostic Model for Acute Decompensated Cirrhosis Patients
title_fullStr Derivation and Validation of a Prognostic Model for Acute Decompensated Cirrhosis Patients
title_full_unstemmed Derivation and Validation of a Prognostic Model for Acute Decompensated Cirrhosis Patients
title_short Derivation and Validation of a Prognostic Model for Acute Decompensated Cirrhosis Patients
title_sort derivation and validation of a prognostic model for acute decompensated cirrhosis patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204755/
https://www.ncbi.nlm.nih.gov/pubmed/37228767
http://dx.doi.org/10.2147/PPA.S412063
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