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Impact of meteorological conditions on the incidence of acute aortic dissection.

Authors
  • Majd, Payman1
  • Madershahian, Navid2
  • Sabashnikov, Anton2
  • Weber, Carolyn3
  • Ahmad, Wael1
  • Weymann, Alexander4
  • Heinen, Stephanie2
  • Merkle, Julia2
  • Eghbalzadeh, Kaveh2
  • Wippermann, Jens5
  • Brunkwall, Jan1
  • Wahlers, Thorsten2
  • 1 Department of Vascular Surgery, Cologne University Heart Centre, Cologne, Germany. , (Germany)
  • 2 Department of Cardiothoracic Surgery, Cologne University Heart Centre, Cologne, Germany. , (Germany)
  • 3 Department of Cardiothoracic Surgery, University of Cologne, Kerpener Strasse 62, 50937 Cologne, Germany. , (Germany)
  • 4 Department of Cardiac Surgery, University Hospital Oldenburg, European Medical School Oldenburg-Groningen, Carl von Ossietzky University Oldenburg, Oldenburg, Germany. , (Germany)
  • 5 Department of Cardiothoracic Surgery, University Hospital Magdeburg, Magdeburg, Germany. , (Germany)
Type
Published Article
Journal
Therapeutic advances in cardiovascular disease
Publication Date
Dec 01, 2018
Volume
12
Issue
12
Pages
321–326
Identifiers
DOI: 10.1177/1753944718801559
PMID: 30244647
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

There is still much controversy about whether meteorological conditions influence the occurrence of acute aortic dissection (AAD). The aim of the present study was to investigate the possible correlation between atmospheric pressure, temperature, lunar cycle and the event of aortic dissection in our patient population. The clinical data for 348 patients with AAD (73% type Stanford A) were confronted with the meteorological data provided by the Cologne weather station over the same period. There were no statistically significant differences between meteorological parameters on days of AAD events compared with control days. A logistic regression model showed that air pressure (odds ratio [OR] 1.004, 95% confidence interval [CI] 0.991-1.017, p = 0.542), air temperature (OR 0.978, 95% CI 0.949-1.008, p = 0.145), season ( p = 0.918) and month of the event ( p = 0.175) as well as presence of full moon (OR 1.579, 95% CI 0.763-3.270, p = 0.219) were not able to predict AAD events. Also, no predictive power of meteorological data and season was found on analysing their impact on different types of AAD events. Our study did not reveal any dependence of atmospheric pressure, air temperature or the presence of full moon on the incidence of different types of AAD.

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