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Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China
BACKGROUND: Stroke patients have a high incidence of comorbidity. Previous studies have shown that comorbidity can impact on the short-term and long-term mortality after stroke. METHODS: Our study aimed to explore the trend of comorbidity among patients with first stroke from 2010 to 2020, and the i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477574/ https://www.ncbi.nlm.nih.gov/pubmed/34583749 http://dx.doi.org/10.1186/s12962-021-00316-1 |
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author | Hao, Ruixiao Qi, Xuemei Xia, Xiaoshuang Wang, Lin Li, Xin |
author_facet | Hao, Ruixiao Qi, Xuemei Xia, Xiaoshuang Wang, Lin Li, Xin |
author_sort | Hao, Ruixiao |
collection | PubMed |
description | BACKGROUND: Stroke patients have a high incidence of comorbidity. Previous studies have shown that comorbidity can impact on the short-term and long-term mortality after stroke. METHODS: Our study aimed to explore the trend of comorbidity among patients with first stroke from 2010 to 2020, and the influence of comorbidity on admission mortality, length of stay and hospitalization costs. 5988 eligible patients were enrolled in our study, and divided into 4 comorbidity burden groups according to Charlson comorbidity index (CCI): none, moderate, severe, very severe. Survival analysis was expressed by Kaplan–Meier curve. Cox regression model was used to analyze the effect of comorbidity on 7-day and in-hospital mortality. Generalized linear model (GLM) was used to analyze the association between comorbidity and hospitalization days and cost. RESULTS: Compared to patients without comorbidity, those with very severe comorbidity were more likely to be male (342, 57.7%), suffer from ischemic stroke (565, 95.3%), afford higher expense (Midian, 19339.3RMB, IQR13020.7–27485.9RMB), and have a higher in-hospital mortality (60, 10.1%). From 2010 to 2020, proportion of patients with severe and very severe comorbidity increased 12.9%. The heaviest comorbidity burden increased the risk of 7-day mortality (adjusted hazard ratio, 3.51, 95% CI 2.22–5.53) and in-hospital mortality (adjusted hazard ratio, 3.83, 95% CI 2.70–5.45). Patients with very severe comorbidity had a 12% longer LOS and extra 27% expense than those without comorbidity. CONCLUSIONS: Comorbidity burden showed an increasing trend year in past eleven years. The heavy comorbidity burden increased in-hospital mortality, LOS, and hospitalization cost, especially in patients aged 55 years or more. The findings also provide some reference on improvement of health care reform policies and allocation of resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12962-021-00316-1. |
format | Online Article Text |
id | pubmed-8477574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84775742021-09-29 Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China Hao, Ruixiao Qi, Xuemei Xia, Xiaoshuang Wang, Lin Li, Xin Cost Eff Resour Alloc Research BACKGROUND: Stroke patients have a high incidence of comorbidity. Previous studies have shown that comorbidity can impact on the short-term and long-term mortality after stroke. METHODS: Our study aimed to explore the trend of comorbidity among patients with first stroke from 2010 to 2020, and the influence of comorbidity on admission mortality, length of stay and hospitalization costs. 5988 eligible patients were enrolled in our study, and divided into 4 comorbidity burden groups according to Charlson comorbidity index (CCI): none, moderate, severe, very severe. Survival analysis was expressed by Kaplan–Meier curve. Cox regression model was used to analyze the effect of comorbidity on 7-day and in-hospital mortality. Generalized linear model (GLM) was used to analyze the association between comorbidity and hospitalization days and cost. RESULTS: Compared to patients without comorbidity, those with very severe comorbidity were more likely to be male (342, 57.7%), suffer from ischemic stroke (565, 95.3%), afford higher expense (Midian, 19339.3RMB, IQR13020.7–27485.9RMB), and have a higher in-hospital mortality (60, 10.1%). From 2010 to 2020, proportion of patients with severe and very severe comorbidity increased 12.9%. The heaviest comorbidity burden increased the risk of 7-day mortality (adjusted hazard ratio, 3.51, 95% CI 2.22–5.53) and in-hospital mortality (adjusted hazard ratio, 3.83, 95% CI 2.70–5.45). Patients with very severe comorbidity had a 12% longer LOS and extra 27% expense than those without comorbidity. CONCLUSIONS: Comorbidity burden showed an increasing trend year in past eleven years. The heavy comorbidity burden increased in-hospital mortality, LOS, and hospitalization cost, especially in patients aged 55 years or more. The findings also provide some reference on improvement of health care reform policies and allocation of resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12962-021-00316-1. BioMed Central 2021-09-28 /pmc/articles/PMC8477574/ /pubmed/34583749 http://dx.doi.org/10.1186/s12962-021-00316-1 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 Hao, Ruixiao Qi, Xuemei Xia, Xiaoshuang Wang, Lin Li, Xin Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China |
title | Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China |
title_full | Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China |
title_fullStr | Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China |
title_full_unstemmed | Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China |
title_short | Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China |
title_sort | temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in tianjin, north of china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477574/ https://www.ncbi.nlm.nih.gov/pubmed/34583749 http://dx.doi.org/10.1186/s12962-021-00316-1 |
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