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The relationship between red cell distribution width and all-cause and cause-specific mortality in a general population
Red Cell Distribution Width (RDW) could be a risk factor for developing various chronic diseases, and seems to be a prognostic marker in patients with cardiovascular disease (CVD) or cancer. Our aim was to explore the association between RDW and all-cause and cause-specific mortality in a general po...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838342/ https://www.ncbi.nlm.nih.gov/pubmed/31700048 http://dx.doi.org/10.1038/s41598-019-52708-2 |
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author | Pan, Jingxue Borné, Yan Engström, Gunnar |
author_facet | Pan, Jingxue Borné, Yan Engström, Gunnar |
author_sort | Pan, Jingxue |
collection | PubMed |
description | Red Cell Distribution Width (RDW) could be a risk factor for developing various chronic diseases, and seems to be a prognostic marker in patients with cardiovascular disease (CVD) or cancer. Our aim was to explore the association between RDW and all-cause and cause-specific mortality in a general population. RDW was measured in 27,063 participants (aged 45–73 years) from the population-based Malmö Diet and Cancer cohort. After a follow-up of 19.8 ± 5.5 years, Cox proportional hazards regression analysis was used to study the relationship between RDW and all-cause and cause-specific mortality, with adjustment for confounding factors. A total of 9388 individuals (4715 men and 4673 women) died during the follow up. High RDW was significantly associated with all-cause mortality (HR, 4(th) vs. 1(st) quartile: 1.34, 95%CI: 1.24–1.45), cancer mortality (HR: 1.27, 95%CI: 1.12–1.44), CVD mortality (HR: 1.39, 95%CI: 1.21–1.59), and respiratory disease mortality (HR: 1.47, 95%CI: 1.06–2.03). The C-statistic increased significantly from 0.732 to 0.737 when adding RDW to a model adjusted for age and sex. There was a significant interaction between RDW and BMI with respect to all-cause mortality. We concluded that RDW is associated with mortality and propose that high RDW is a significant, but non-specific marker of mortality risk in the general population. |
format | Online Article Text |
id | pubmed-6838342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68383422019-11-14 The relationship between red cell distribution width and all-cause and cause-specific mortality in a general population Pan, Jingxue Borné, Yan Engström, Gunnar Sci Rep Article Red Cell Distribution Width (RDW) could be a risk factor for developing various chronic diseases, and seems to be a prognostic marker in patients with cardiovascular disease (CVD) or cancer. Our aim was to explore the association between RDW and all-cause and cause-specific mortality in a general population. RDW was measured in 27,063 participants (aged 45–73 years) from the population-based Malmö Diet and Cancer cohort. After a follow-up of 19.8 ± 5.5 years, Cox proportional hazards regression analysis was used to study the relationship between RDW and all-cause and cause-specific mortality, with adjustment for confounding factors. A total of 9388 individuals (4715 men and 4673 women) died during the follow up. High RDW was significantly associated with all-cause mortality (HR, 4(th) vs. 1(st) quartile: 1.34, 95%CI: 1.24–1.45), cancer mortality (HR: 1.27, 95%CI: 1.12–1.44), CVD mortality (HR: 1.39, 95%CI: 1.21–1.59), and respiratory disease mortality (HR: 1.47, 95%CI: 1.06–2.03). The C-statistic increased significantly from 0.732 to 0.737 when adding RDW to a model adjusted for age and sex. There was a significant interaction between RDW and BMI with respect to all-cause mortality. We concluded that RDW is associated with mortality and propose that high RDW is a significant, but non-specific marker of mortality risk in the general population. Nature Publishing Group UK 2019-11-07 /pmc/articles/PMC6838342/ /pubmed/31700048 http://dx.doi.org/10.1038/s41598-019-52708-2 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pan, Jingxue Borné, Yan Engström, Gunnar The relationship between red cell distribution width and all-cause and cause-specific mortality in a general population |
title | The relationship between red cell distribution width and all-cause and cause-specific mortality in a general population |
title_full | The relationship between red cell distribution width and all-cause and cause-specific mortality in a general population |
title_fullStr | The relationship between red cell distribution width and all-cause and cause-specific mortality in a general population |
title_full_unstemmed | The relationship between red cell distribution width and all-cause and cause-specific mortality in a general population |
title_short | The relationship between red cell distribution width and all-cause and cause-specific mortality in a general population |
title_sort | relationship between red cell distribution width and all-cause and cause-specific mortality in a general population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838342/ https://www.ncbi.nlm.nih.gov/pubmed/31700048 http://dx.doi.org/10.1038/s41598-019-52708-2 |
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