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The impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study
BACKGROUND: This study was aimed at determining the outcome and examining the association between comorbidities and mortality after intracerebral hemorrhage in chronic dialysis patients. METHODS: We used the Taiwan National Health Insurance Research Database and enrolled patients who underwent maint...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256891/ https://www.ncbi.nlm.nih.gov/pubmed/25427630 http://dx.doi.org/10.1186/1471-2369-15-186 |
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author | Lin, Chun-Yu Chien, Chih-Chiang Chen, Hung-An Su, Fu-Mei Wang, Jhi-Joung Wang, Che-Chuan Chu, Chin-Chen Lin, Yeong-Jang |
author_facet | Lin, Chun-Yu Chien, Chih-Chiang Chen, Hung-An Su, Fu-Mei Wang, Jhi-Joung Wang, Che-Chuan Chu, Chin-Chen Lin, Yeong-Jang |
author_sort | Lin, Chun-Yu |
collection | PubMed |
description | BACKGROUND: This study was aimed at determining the outcome and examining the association between comorbidities and mortality after intracerebral hemorrhage in chronic dialysis patients. METHODS: We used the Taiwan National Health Insurance Research Database and enrolled patients who underwent maintenance dialysis between 2000 and 2007. Annual incidence of intracerebral hemorrhage in patients receiving dialysis from 2000 to 2007 was determined. To identify predictors of hemorrhagic stroke, we used logistic regression model to estimate the relative ratio of factors for intracerebral hemorrhage in the most recent cohort (2007). The cumulative survival rate and comorbid conditions associated with mortality after intracerebral hemorrhage among all dialysis patients between 2000 and 2007 was calculated using the Kaplan-Meier method and Cox regression analysis. RESULTS: We identified 57,261 patients on maintenance dialysis in the cohort of 2007, and 340 patients had history of intracerebral hemorrhage among them. Hypertension was the most common comorbidity of dialysis patients. The incidence rate of intracerebral hemorrhage among dialysis patients was about 0.6%. Adjusted logistic regression model showed that male gender, middle age (45–64 years), hypertension, and previous history of stroke were the independent predictors for the occurrence of intracerebral hemorrhage among chronic dialysis patients. 1,939 dialysis patients with development of intracerebral hemorrhage in the analysis period from 2000 to 2007 were identified. In-hospital mortality was high (36.15%) following intracerebral hemorrhage. They were followed up after intracerebral hemorrhage for a mean time of 41.56 months. Adjusted Cox regression analyses demonstrated that the factors independently associated with mortality after intracerebral hemorrhage among dialysis patients included diabetes mellitus, malignancy and a history of prior stroke. CONCLUSIONS: Dialysis patients who have history of prior stroke, diabetes and malignancy have worse survival than patients without these comorbidities. Attention must focus on providing optimal medical care after hemorrhagic stroke for these target groups to reduce mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2369-15-186) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4256891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42568912014-12-06 The impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study Lin, Chun-Yu Chien, Chih-Chiang Chen, Hung-An Su, Fu-Mei Wang, Jhi-Joung Wang, Che-Chuan Chu, Chin-Chen Lin, Yeong-Jang BMC Nephrol Research Article BACKGROUND: This study was aimed at determining the outcome and examining the association between comorbidities and mortality after intracerebral hemorrhage in chronic dialysis patients. METHODS: We used the Taiwan National Health Insurance Research Database and enrolled patients who underwent maintenance dialysis between 2000 and 2007. Annual incidence of intracerebral hemorrhage in patients receiving dialysis from 2000 to 2007 was determined. To identify predictors of hemorrhagic stroke, we used logistic regression model to estimate the relative ratio of factors for intracerebral hemorrhage in the most recent cohort (2007). The cumulative survival rate and comorbid conditions associated with mortality after intracerebral hemorrhage among all dialysis patients between 2000 and 2007 was calculated using the Kaplan-Meier method and Cox regression analysis. RESULTS: We identified 57,261 patients on maintenance dialysis in the cohort of 2007, and 340 patients had history of intracerebral hemorrhage among them. Hypertension was the most common comorbidity of dialysis patients. The incidence rate of intracerebral hemorrhage among dialysis patients was about 0.6%. Adjusted logistic regression model showed that male gender, middle age (45–64 years), hypertension, and previous history of stroke were the independent predictors for the occurrence of intracerebral hemorrhage among chronic dialysis patients. 1,939 dialysis patients with development of intracerebral hemorrhage in the analysis period from 2000 to 2007 were identified. In-hospital mortality was high (36.15%) following intracerebral hemorrhage. They were followed up after intracerebral hemorrhage for a mean time of 41.56 months. Adjusted Cox regression analyses demonstrated that the factors independently associated with mortality after intracerebral hemorrhage among dialysis patients included diabetes mellitus, malignancy and a history of prior stroke. CONCLUSIONS: Dialysis patients who have history of prior stroke, diabetes and malignancy have worse survival than patients without these comorbidities. Attention must focus on providing optimal medical care after hemorrhagic stroke for these target groups to reduce mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2369-15-186) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-27 /pmc/articles/PMC4256891/ /pubmed/25427630 http://dx.doi.org/10.1186/1471-2369-15-186 Text en © Lin et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lin, Chun-Yu Chien, Chih-Chiang Chen, Hung-An Su, Fu-Mei Wang, Jhi-Joung Wang, Che-Chuan Chu, Chin-Chen Lin, Yeong-Jang The impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study |
title | The impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study |
title_full | The impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study |
title_fullStr | The impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study |
title_full_unstemmed | The impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study |
title_short | The impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study |
title_sort | impact of comorbidity on survival after hemorrhagic stroke among dialysis patients: a nationwide population-based study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256891/ https://www.ncbi.nlm.nih.gov/pubmed/25427630 http://dx.doi.org/10.1186/1471-2369-15-186 |
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