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Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia

BACKGROUND: Acutely decompensated liver cirrhosis is associated with high medical costs and negatively affects productivity and quality of life. Data on factors associated with in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia are scarce. This study aims to identify pre...

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Autores principales: Nababan, Saut Horas H., Mansjoer, Arif, Fauzi, Achmad, Gani, Rino A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529806/
https://www.ncbi.nlm.nih.gov/pubmed/34670501
http://dx.doi.org/10.1186/s12876-021-01972-6
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author Nababan, Saut Horas H.
Mansjoer, Arif
Fauzi, Achmad
Gani, Rino A.
author_facet Nababan, Saut Horas H.
Mansjoer, Arif
Fauzi, Achmad
Gani, Rino A.
author_sort Nababan, Saut Horas H.
collection PubMed
description BACKGROUND: Acutely decompensated liver cirrhosis is associated with high medical costs and negatively affects productivity and quality of life. Data on factors associated with in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia are scarce. This study aims to identify predictors of in-hospital mortality and develop predictive scoring systems for clinical application in acutely decompensated liver cirrhosis patients. METHODS: This was a retrospective cohort study using a hospital database of acutely decompensated liver cirrhosis data at Cipto Mangunkusumo National General Hospital, Jakarta (2016–2019). Bivariate and multivariate logistic regression analyses were performed to identify the predictors of in-hospital mortality. Two scoring systems were developed based on the identified predictors. RESULTS: A total of 241 patients were analysed; patients were predominantly male (74.3%), had hepatitis B (38.6%), and had Child–Pugh class B or C cirrhosis (40% and 38%, respectively). Gastrointestinal bleeding was observed in 171 patients (70.9%), and 29 patients (12.03%) died during hospitalization. The independent predictors of in-hospital mortality were age (adjusted OR: 1.09 [1.03–1.14]; p = 0.001), bacterial infection (adjusted OR: 6.25 [2.31–16.92]; p < 0.001), total bilirubin level (adjusted OR: 3.01 [1.85–4.89]; p < 0.001) and creatinine level (adjusted OR: 2.70 [1.20–6.05]; p = 0.016). The logistic and additive scoring systems, which were developed based on the identified predictors, had AUROC values of 0.899 and 0.868, respectively. CONCLUSION: The in-hospital mortality rate of acutely decompensated liver cirrhosis in Indonesia is high. We have developed two predictive scoring systems for in-hospital mortality in acutely decompensated liver cirrhosis patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-021-01972-6.
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spelling pubmed-85298062021-10-25 Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia Nababan, Saut Horas H. Mansjoer, Arif Fauzi, Achmad Gani, Rino A. BMC Gastroenterol Research BACKGROUND: Acutely decompensated liver cirrhosis is associated with high medical costs and negatively affects productivity and quality of life. Data on factors associated with in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia are scarce. This study aims to identify predictors of in-hospital mortality and develop predictive scoring systems for clinical application in acutely decompensated liver cirrhosis patients. METHODS: This was a retrospective cohort study using a hospital database of acutely decompensated liver cirrhosis data at Cipto Mangunkusumo National General Hospital, Jakarta (2016–2019). Bivariate and multivariate logistic regression analyses were performed to identify the predictors of in-hospital mortality. Two scoring systems were developed based on the identified predictors. RESULTS: A total of 241 patients were analysed; patients were predominantly male (74.3%), had hepatitis B (38.6%), and had Child–Pugh class B or C cirrhosis (40% and 38%, respectively). Gastrointestinal bleeding was observed in 171 patients (70.9%), and 29 patients (12.03%) died during hospitalization. The independent predictors of in-hospital mortality were age (adjusted OR: 1.09 [1.03–1.14]; p = 0.001), bacterial infection (adjusted OR: 6.25 [2.31–16.92]; p < 0.001), total bilirubin level (adjusted OR: 3.01 [1.85–4.89]; p < 0.001) and creatinine level (adjusted OR: 2.70 [1.20–6.05]; p = 0.016). The logistic and additive scoring systems, which were developed based on the identified predictors, had AUROC values of 0.899 and 0.868, respectively. CONCLUSION: The in-hospital mortality rate of acutely decompensated liver cirrhosis in Indonesia is high. We have developed two predictive scoring systems for in-hospital mortality in acutely decompensated liver cirrhosis patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-021-01972-6. BioMed Central 2021-10-20 /pmc/articles/PMC8529806/ /pubmed/34670501 http://dx.doi.org/10.1186/s12876-021-01972-6 Text en © The Author(s) 2021 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
Nababan, Saut Horas H.
Mansjoer, Arif
Fauzi, Achmad
Gani, Rino A.
Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia
title Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia
title_full Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia
title_fullStr Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia
title_full_unstemmed Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia
title_short Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia
title_sort predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in indonesia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529806/
https://www.ncbi.nlm.nih.gov/pubmed/34670501
http://dx.doi.org/10.1186/s12876-021-01972-6
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