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The effects of changing meteorological parameters on fatal aortic catastrophes
BACKGROUND: Over the span of the last decade, medical research has been increasingly putting greater emphasis on the study of meteorological parameters due to their connection to cardiovascular diseases. The main goal of this study was to explore the relationship between fatal aortic catastrophes an...
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/PMC7293115/ https://www.ncbi.nlm.nih.gov/pubmed/32534566 http://dx.doi.org/10.1186/s12872-020-01575-1 |
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author | Szilágyi, Brigitta Berczeli, Márton Lovas, Attila Oláh, Zoltán Törő, Klára Sótonyi, Péter |
author_facet | Szilágyi, Brigitta Berczeli, Márton Lovas, Attila Oláh, Zoltán Törő, Klára Sótonyi, Péter |
author_sort | Szilágyi, Brigitta |
collection | PubMed |
description | BACKGROUND: Over the span of the last decade, medical research has been increasingly putting greater emphasis on the study of meteorological parameters due to their connection to cardiovascular diseases. The main goal of this study was to explore the relationship between fatal aortic catastrophes and changes in atmospheric pressure and temperature. METHODS: We used a Cox process model to quantify the effects of environmental factors on sudden deaths resulting from aortic catastrophes. We used transfer entropy to draw conclusion about the causal connection between mortality and meteorological parameters. Our main tool was a computer program which we developed earlier in order to evaluate the relationship between pulmonary embolism mortality and weather on data sets comprised of aortic aneurysm (AA) and acute aortic dissection (AAD) cases, where one of these two medical conditions had led to fatal rupture of the aorta. Our source for these cases were the autopsy databases of Semmelweis University, from the time period of 1994 to 2014. We have examined 160 aneurysm and 130 dissection cases in relation to changes in meteorological parameters. The algorythm implemented in our program is based on a non-parametric a Cox process model. It is capable of splitting slowly varying unknown global trends from fluctuations potentially caused by weather. Furthermore, it allows us to explore complex non-linear interactions between meteorological parameters and mortality. RESULTS: Model measures the relative growth of the expected number of events on the n(th) day caused by the deviation of environmental parameters from its mean value. The connection between ruptured aortic aneurysms (rAA) and changes in atmospheric pressure is more significant than their connection with mean daily temperatures. With an increase in atmospheric pressure, the rate of rAA mortality also increased. The effects of meteorological parameters were weaker for deaths resulting from acute aortic dissections (AAD), although low mean daily temperatures increased the intensity of occurrence for AAD-related deaths. CONCLUSION: The occurrence rate of fatal aortic catastrophes showed a slight dependence on the two examined parameters within our groups. |
format | Online Article Text |
id | pubmed-7293115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72931152020-06-15 The effects of changing meteorological parameters on fatal aortic catastrophes Szilágyi, Brigitta Berczeli, Márton Lovas, Attila Oláh, Zoltán Törő, Klára Sótonyi, Péter BMC Cardiovasc Disord Research Article BACKGROUND: Over the span of the last decade, medical research has been increasingly putting greater emphasis on the study of meteorological parameters due to their connection to cardiovascular diseases. The main goal of this study was to explore the relationship between fatal aortic catastrophes and changes in atmospheric pressure and temperature. METHODS: We used a Cox process model to quantify the effects of environmental factors on sudden deaths resulting from aortic catastrophes. We used transfer entropy to draw conclusion about the causal connection between mortality and meteorological parameters. Our main tool was a computer program which we developed earlier in order to evaluate the relationship between pulmonary embolism mortality and weather on data sets comprised of aortic aneurysm (AA) and acute aortic dissection (AAD) cases, where one of these two medical conditions had led to fatal rupture of the aorta. Our source for these cases were the autopsy databases of Semmelweis University, from the time period of 1994 to 2014. We have examined 160 aneurysm and 130 dissection cases in relation to changes in meteorological parameters. The algorythm implemented in our program is based on a non-parametric a Cox process model. It is capable of splitting slowly varying unknown global trends from fluctuations potentially caused by weather. Furthermore, it allows us to explore complex non-linear interactions between meteorological parameters and mortality. RESULTS: Model measures the relative growth of the expected number of events on the n(th) day caused by the deviation of environmental parameters from its mean value. The connection between ruptured aortic aneurysms (rAA) and changes in atmospheric pressure is more significant than their connection with mean daily temperatures. With an increase in atmospheric pressure, the rate of rAA mortality also increased. The effects of meteorological parameters were weaker for deaths resulting from acute aortic dissections (AAD), although low mean daily temperatures increased the intensity of occurrence for AAD-related deaths. CONCLUSION: The occurrence rate of fatal aortic catastrophes showed a slight dependence on the two examined parameters within our groups. BioMed Central 2020-06-13 /pmc/articles/PMC7293115/ /pubmed/32534566 http://dx.doi.org/10.1186/s12872-020-01575-1 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 Szilágyi, Brigitta Berczeli, Márton Lovas, Attila Oláh, Zoltán Törő, Klára Sótonyi, Péter The effects of changing meteorological parameters on fatal aortic catastrophes |
title | The effects of changing meteorological parameters on fatal aortic catastrophes |
title_full | The effects of changing meteorological parameters on fatal aortic catastrophes |
title_fullStr | The effects of changing meteorological parameters on fatal aortic catastrophes |
title_full_unstemmed | The effects of changing meteorological parameters on fatal aortic catastrophes |
title_short | The effects of changing meteorological parameters on fatal aortic catastrophes |
title_sort | effects of changing meteorological parameters on fatal aortic catastrophes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293115/ https://www.ncbi.nlm.nih.gov/pubmed/32534566 http://dx.doi.org/10.1186/s12872-020-01575-1 |
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