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Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients
BACKGROUND: The impact of pre-existing comorbidities on acute pancreatitis (AP) mortality is not clearly defined. Our study aims to determine the trend in AP hospital mortality and the role of comorbidities as a predictor of hospital mortality. METHODS: We analyzed patients aged ≥ 18 years hospitali...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035222/ https://www.ncbi.nlm.nih.gov/pubmed/36949385 http://dx.doi.org/10.1186/s12876-023-02730-6 |
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author | Hidalgo, Nils Jimmy Pando, Elizabeth Mata, Rodrigo Fernandes, Nair Villasante, Sara Barros, Marta Herms, Daniel Blanco, Laia Balsells, Joaquim Charco, Ramon |
author_facet | Hidalgo, Nils Jimmy Pando, Elizabeth Mata, Rodrigo Fernandes, Nair Villasante, Sara Barros, Marta Herms, Daniel Blanco, Laia Balsells, Joaquim Charco, Ramon |
author_sort | Hidalgo, Nils Jimmy |
collection | PubMed |
description | BACKGROUND: The impact of pre-existing comorbidities on acute pancreatitis (AP) mortality is not clearly defined. Our study aims to determine the trend in AP hospital mortality and the role of comorbidities as a predictor of hospital mortality. METHODS: We analyzed patients aged ≥ 18 years hospitalized with AP diagnosis between 2016 and 2019. The data have been extracted from the Spanish National Hospital Discharge Database of the Spanish Ministry of Health. We performed a univariate and multivariable analysis of the association of age, sex, and comorbidities with hospital mortality in patients with AP. The role of the Charlson and Elixhauser comorbidity indices as predictors of mortality was evaluated. RESULTS: A total of 110,021 patients diagnosed with AP were hospitalized during the analyzed period. Hospital mortality was 3.8%, with a progressive decrease observed in the years evaluated. In multivariable analysis, age ≥ 65 years (OR: 4.11, p < 0.001), heart disease (OR: 1.73, p < 0.001), renal disease (OR: 1.99, p < 0.001), moderate-severe liver disease (OR: 2.86, p < 0.001), peripheral vascular disease (OR: 1.43, p < 0.001), and cerebrovascular disease (OR: 1.63, p < 0.001) were independent risk factors for mortality. The Charlson > 1.5 (OR: 2.03, p < 0.001) and Elixhauser > 1.5 (OR: 2.71, p < 0.001) comorbidity indices were also independently associated with mortality, and ROC curve analysis showed that they are useful for predicting hospital mortality. CONCLUSIONS: Advanced age, heart disease, renal disease, moderate-severe liver disease, peripheral vascular disease, and cerebrovascular disease before admission were independently associated with hospital mortality. The Charlson and Elixhauser comorbidity indices are useful for predicting hospital mortality in AP patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-023-02730-6. |
format | Online Article Text |
id | pubmed-10035222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100352222023-03-24 Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients Hidalgo, Nils Jimmy Pando, Elizabeth Mata, Rodrigo Fernandes, Nair Villasante, Sara Barros, Marta Herms, Daniel Blanco, Laia Balsells, Joaquim Charco, Ramon BMC Gastroenterol Research Article BACKGROUND: The impact of pre-existing comorbidities on acute pancreatitis (AP) mortality is not clearly defined. Our study aims to determine the trend in AP hospital mortality and the role of comorbidities as a predictor of hospital mortality. METHODS: We analyzed patients aged ≥ 18 years hospitalized with AP diagnosis between 2016 and 2019. The data have been extracted from the Spanish National Hospital Discharge Database of the Spanish Ministry of Health. We performed a univariate and multivariable analysis of the association of age, sex, and comorbidities with hospital mortality in patients with AP. The role of the Charlson and Elixhauser comorbidity indices as predictors of mortality was evaluated. RESULTS: A total of 110,021 patients diagnosed with AP were hospitalized during the analyzed period. Hospital mortality was 3.8%, with a progressive decrease observed in the years evaluated. In multivariable analysis, age ≥ 65 years (OR: 4.11, p < 0.001), heart disease (OR: 1.73, p < 0.001), renal disease (OR: 1.99, p < 0.001), moderate-severe liver disease (OR: 2.86, p < 0.001), peripheral vascular disease (OR: 1.43, p < 0.001), and cerebrovascular disease (OR: 1.63, p < 0.001) were independent risk factors for mortality. The Charlson > 1.5 (OR: 2.03, p < 0.001) and Elixhauser > 1.5 (OR: 2.71, p < 0.001) comorbidity indices were also independently associated with mortality, and ROC curve analysis showed that they are useful for predicting hospital mortality. CONCLUSIONS: Advanced age, heart disease, renal disease, moderate-severe liver disease, peripheral vascular disease, and cerebrovascular disease before admission were independently associated with hospital mortality. The Charlson and Elixhauser comorbidity indices are useful for predicting hospital mortality in AP patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-023-02730-6. BioMed Central 2023-03-23 /pmc/articles/PMC10035222/ /pubmed/36949385 http://dx.doi.org/10.1186/s12876-023-02730-6 Text en © The Author(s) 2023 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 Article Hidalgo, Nils Jimmy Pando, Elizabeth Mata, Rodrigo Fernandes, Nair Villasante, Sara Barros, Marta Herms, Daniel Blanco, Laia Balsells, Joaquim Charco, Ramon Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients |
title | Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients |
title_full | Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients |
title_fullStr | Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients |
title_full_unstemmed | Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients |
title_short | Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients |
title_sort | impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035222/ https://www.ncbi.nlm.nih.gov/pubmed/36949385 http://dx.doi.org/10.1186/s12876-023-02730-6 |
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