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Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study
BACKGROUND: Most previous research has studied the association of hypertension with cardiovascular disease (CVD) and all-cause mortality by focusing on the transition from the initial state to a single outcome. We investigated the impact of hypertension, defined according to the 2017 American Colleg...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336626/ https://www.ncbi.nlm.nih.gov/pubmed/32631245 http://dx.doi.org/10.1186/s12872-020-01599-7 |
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author | Ramezankhani, Azra Blaha, Michael J. Mirbolouk, Mohammad hassan Azizi, Fereidoun Hadaegh, Farzad |
author_facet | Ramezankhani, Azra Blaha, Michael J. Mirbolouk, Mohammad hassan Azizi, Fereidoun Hadaegh, Farzad |
author_sort | Ramezankhani, Azra |
collection | PubMed |
description | BACKGROUND: Most previous research has studied the association of hypertension with cardiovascular disease (CVD) and all-cause mortality by focusing on the transition from the initial state to a single outcome. We investigated the impact of hypertension, defined according to the 2017 American College of Cardiology/American Heart Association (ACC/AHA) (new) and the Seventh Report of the Joint National Committee (JNC7) (old), on CVD death and all-cause mortality considering non-fatal CVD as an intermediate event between two CVD-free and mortality states. METHODS: A total of 3002 Iranian population (47.4% men), aged ≥50 years were followed from 1999 to 2014. Two multi-state semi-Markov models with three transitions were defined for CVD death and all-cause mortality as two outcomes. The multivariable Cox model was used to estimate the effect of hypertension on transition hazards. The mean of 15-year life expectancy of participants in each transition was estimated using the restricted mean survival time. RESULTS: The ACC/AHA guideline increased the prevalence of hypertension from 43.3 to 68.6%. Among CVD-free individuals, hypertension was significantly associated with increased risk of non-fatal CVD [Hazard Ratio, 1.52 (1.28–1.81) and 1.48 (1.21–1.80)], CVD death [2.96 (2.06–4.25) and 1.98 (1.30–3.04)] and all-cause mortality [1.64 (1.32–2.05) and 1.31 (1.01–1.69)] according the old and new guidelines, respectively. However, after incident non-fatal CVD, the association between hypertension and mortality events was not significant according to both definitions. Hypertensive participants experienced a first non-fatal CVD about 0.9 and 0.6 years earlier than normotensive population according to JNC7 and the 2017 ACC/AHA guidelines, respectively. CONCLUSION: Hypertension, according to JNC7 and the ACC/AHA guidelines, significantly increased the risk of mortality events among CVD-free population although the risk was attenuated using ACC/AHA guideline. Hypertension also decreased the number of years lived without CVD and early onset of CVD, and consequently, an increase in the time spent with these diseases. After non-fatal CVD, hypertension had no significant impact on mortality risk according to both guidelines. |
format | Online Article Text |
id | pubmed-7336626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73366262020-07-08 Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study Ramezankhani, Azra Blaha, Michael J. Mirbolouk, Mohammad hassan Azizi, Fereidoun Hadaegh, Farzad BMC Cardiovasc Disord Research Article BACKGROUND: Most previous research has studied the association of hypertension with cardiovascular disease (CVD) and all-cause mortality by focusing on the transition from the initial state to a single outcome. We investigated the impact of hypertension, defined according to the 2017 American College of Cardiology/American Heart Association (ACC/AHA) (new) and the Seventh Report of the Joint National Committee (JNC7) (old), on CVD death and all-cause mortality considering non-fatal CVD as an intermediate event between two CVD-free and mortality states. METHODS: A total of 3002 Iranian population (47.4% men), aged ≥50 years were followed from 1999 to 2014. Two multi-state semi-Markov models with three transitions were defined for CVD death and all-cause mortality as two outcomes. The multivariable Cox model was used to estimate the effect of hypertension on transition hazards. The mean of 15-year life expectancy of participants in each transition was estimated using the restricted mean survival time. RESULTS: The ACC/AHA guideline increased the prevalence of hypertension from 43.3 to 68.6%. Among CVD-free individuals, hypertension was significantly associated with increased risk of non-fatal CVD [Hazard Ratio, 1.52 (1.28–1.81) and 1.48 (1.21–1.80)], CVD death [2.96 (2.06–4.25) and 1.98 (1.30–3.04)] and all-cause mortality [1.64 (1.32–2.05) and 1.31 (1.01–1.69)] according the old and new guidelines, respectively. However, after incident non-fatal CVD, the association between hypertension and mortality events was not significant according to both definitions. Hypertensive participants experienced a first non-fatal CVD about 0.9 and 0.6 years earlier than normotensive population according to JNC7 and the 2017 ACC/AHA guidelines, respectively. CONCLUSION: Hypertension, according to JNC7 and the ACC/AHA guidelines, significantly increased the risk of mortality events among CVD-free population although the risk was attenuated using ACC/AHA guideline. Hypertension also decreased the number of years lived without CVD and early onset of CVD, and consequently, an increase in the time spent with these diseases. After non-fatal CVD, hypertension had no significant impact on mortality risk according to both guidelines. BioMed Central 2020-07-06 /pmc/articles/PMC7336626/ /pubmed/32631245 http://dx.doi.org/10.1186/s12872-020-01599-7 Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research Article Ramezankhani, Azra Blaha, Michael J. Mirbolouk, Mohammad hassan Azizi, Fereidoun Hadaegh, Farzad Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study |
title | Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study |
title_full | Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study |
title_fullStr | Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study |
title_full_unstemmed | Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study |
title_short | Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study |
title_sort | multi-state analysis of hypertension and mortality: application of semi-markov model in a longitudinal cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336626/ https://www.ncbi.nlm.nih.gov/pubmed/32631245 http://dx.doi.org/10.1186/s12872-020-01599-7 |
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