Cargando…
Atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality
Atherosclerotic lesions in the great arteries are frequent findings in the elderly. Numerous studies have shown their strong predictive value for cardiovascular disease, embolic events, and mortality. We sought to determine the risk of all-cause mortality depending on the localization of plaques in...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381477/ https://www.ncbi.nlm.nih.gov/pubmed/32301042 http://dx.doi.org/10.1007/s10554-020-01840-6 |
_version_ | 1783563055645327360 |
---|---|
author | Heidari, Houtan Ran, Hong Spinka, Georg Hengstenberg, Christian Binder, Thomas Goliasch, Georg Schneider, Matthias |
author_facet | Heidari, Houtan Ran, Hong Spinka, Georg Hengstenberg, Christian Binder, Thomas Goliasch, Georg Schneider, Matthias |
author_sort | Heidari, Houtan |
collection | PubMed |
description | Atherosclerotic lesions in the great arteries are frequent findings in the elderly. Numerous studies have shown their strong predictive value for cardiovascular disease, embolic events, and mortality. We sought to determine the risk of all-cause mortality depending on the localization of plaques in the thoracic aorta evaluated by transesophageal echocardiography (TEE). A total of 2,054 patients (median age 65 years, interquartile range 52–73; 58% men) who underwent a TEE examination between 01/2007 and 03/2015 were retrospectively analyzed. For each patient, the presence of atherosclerotic lesions in the ascending aorta, the aortic arch, and in the descending aorta, as well as cardiovascular risk factors and survival were documented. Median follow-up period was 48 months (interquartile range 38–58). Multivariate Cox regression analysis indicated plaque in the ascending aorta (HR of 1.36, 95% CI 1.01–1.83, P = 0.046), the aortic arch (HR of 1.78, 95% CI 1.29–2.45, P < 0.001), the descending aorta (HR of 2.01, 95% CI 1.54–2.77, P < 0.001), and plaque in any part of the thoracic aorta (HR of 1.84, 95% CI 1.42–2.4, P < 0.001), as independent predictors for all-cause mortality after adjusting for age, sex, arterial hypertension, hyperlipidemia, smoking, and diabetes. In this study, we could demonstrate that more than mild plaque at any site of the thoracic aorta predicts all-cause mortality. Assessment of atherosclerotic lesions in all segments of the thoracic aorta should be part of every routine TEE examination. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10554-020-01840-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7381477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-73814772020-08-04 Atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality Heidari, Houtan Ran, Hong Spinka, Georg Hengstenberg, Christian Binder, Thomas Goliasch, Georg Schneider, Matthias Int J Cardiovasc Imaging Original Paper Atherosclerotic lesions in the great arteries are frequent findings in the elderly. Numerous studies have shown their strong predictive value for cardiovascular disease, embolic events, and mortality. We sought to determine the risk of all-cause mortality depending on the localization of plaques in the thoracic aorta evaluated by transesophageal echocardiography (TEE). A total of 2,054 patients (median age 65 years, interquartile range 52–73; 58% men) who underwent a TEE examination between 01/2007 and 03/2015 were retrospectively analyzed. For each patient, the presence of atherosclerotic lesions in the ascending aorta, the aortic arch, and in the descending aorta, as well as cardiovascular risk factors and survival were documented. Median follow-up period was 48 months (interquartile range 38–58). Multivariate Cox regression analysis indicated plaque in the ascending aorta (HR of 1.36, 95% CI 1.01–1.83, P = 0.046), the aortic arch (HR of 1.78, 95% CI 1.29–2.45, P < 0.001), the descending aorta (HR of 2.01, 95% CI 1.54–2.77, P < 0.001), and plaque in any part of the thoracic aorta (HR of 1.84, 95% CI 1.42–2.4, P < 0.001), as independent predictors for all-cause mortality after adjusting for age, sex, arterial hypertension, hyperlipidemia, smoking, and diabetes. In this study, we could demonstrate that more than mild plaque at any site of the thoracic aorta predicts all-cause mortality. Assessment of atherosclerotic lesions in all segments of the thoracic aorta should be part of every routine TEE examination. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10554-020-01840-6) contains supplementary material, which is available to authorized users. Springer Netherlands 2020-04-16 2020 /pmc/articles/PMC7381477/ /pubmed/32301042 http://dx.doi.org/10.1007/s10554-020-01840-6 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/. |
spellingShingle | Original Paper Heidari, Houtan Ran, Hong Spinka, Georg Hengstenberg, Christian Binder, Thomas Goliasch, Georg Schneider, Matthias Atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality |
title | Atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality |
title_full | Atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality |
title_fullStr | Atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality |
title_full_unstemmed | Atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality |
title_short | Atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality |
title_sort | atherosclerotic plaque detected by transesophageal echocardiography is an independent predictor for all-cause mortality |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381477/ https://www.ncbi.nlm.nih.gov/pubmed/32301042 http://dx.doi.org/10.1007/s10554-020-01840-6 |
work_keys_str_mv | AT heidarihoutan atheroscleroticplaquedetectedbytransesophagealechocardiographyisanindependentpredictorforallcausemortality AT ranhong atheroscleroticplaquedetectedbytransesophagealechocardiographyisanindependentpredictorforallcausemortality AT spinkageorg atheroscleroticplaquedetectedbytransesophagealechocardiographyisanindependentpredictorforallcausemortality AT hengstenbergchristian atheroscleroticplaquedetectedbytransesophagealechocardiographyisanindependentpredictorforallcausemortality AT binderthomas atheroscleroticplaquedetectedbytransesophagealechocardiographyisanindependentpredictorforallcausemortality AT goliaschgeorg atheroscleroticplaquedetectedbytransesophagealechocardiographyisanindependentpredictorforallcausemortality AT schneidermatthias atheroscleroticplaquedetectedbytransesophagealechocardiographyisanindependentpredictorforallcausemortality |