Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1784586542721794048 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8529806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT nababansauthorash predictivescoringsystemsforinhospitalmortalityduetoacutelydecompensatedlivercirrhosisinindonesia AT mansjoerarif predictivescoringsystemsforinhospitalmortalityduetoacutelydecompensatedlivercirrhosisinindonesia AT fauziachmad predictivescoringsystemsforinhospitalmortalityduetoacutelydecompensatedlivercirrhosisinindonesia AT ganirinoa predictivescoringsystemsforinhospitalmortalityduetoacutelydecompensatedlivercirrhosisinindonesia |