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Impacto del COVID-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial
INTRODUCTION: Untreated, severe, symptomatic aortic stenosis is associated with an ominous diagnosis without intervention. This study aims to determine the impact of the COVID-19 pandemic on the mortality of patients with severe stenosis during the first wave and compare it with the same period last...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AEC. Published by Elsevier España, S.L.U.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346332/ https://www.ncbi.nlm.nih.gov/pubmed/34393253 http://dx.doi.org/10.1016/j.ciresp.2021.08.005 |
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author | Pascual-Tejerina, Virginia Beneyto, Pedro Cantón, Tomás Hernando, Luis Manuel Pajín, Luis F Moreu-Burgos, José López-Almodóvar, Luis F Rodríguez-Padial, Luis |
author_facet | Pascual-Tejerina, Virginia Beneyto, Pedro Cantón, Tomás Hernando, Luis Manuel Pajín, Luis F Moreu-Burgos, José López-Almodóvar, Luis F Rodríguez-Padial, Luis |
author_sort | Pascual-Tejerina, Virginia |
collection | PubMed |
description | INTRODUCTION: Untreated, severe, symptomatic aortic stenosis is associated with an ominous diagnosis without intervention. This study aims to determine the impact of the COVID-19 pandemic on the mortality of patients with severe stenosis during the first wave and compare it with the same period last year. METHODS: All patients who went to the hospitals in an Spanish region during the first wave, and in the same period of previous year, were analyzed using artificial intelligence-based software, evaluating the mortality of patients with severe aortic stenosis with and without COVID-19 during the pandemic and the pre-COVID era. Mortality of the 3 groups was compared. Regarding cardiac surgeries was a tendency to decrease (P = .07) in patients without COVID-19 between the pandemic and the previous period was observed. A significant decrease of surgeries between patients with COVID-19 and without COVID-19 was shown. RESULTS: Data showed 13.82% less admitted patients during the first wave. A total of 1,112 of them had aortic stenosis and 5.48% were COVID-19 positive. Mortality was higher (P = .01), in COVID-19 negative during the pandemic (4.37%) versus those in the pre-COVID-19 era (2.57%); it was also in the COVID-19 positive group (11.47%), versus COVID-19 negative (4.37%) during the first wave (P = .01). CONCLUSIONS: The study revealed a decrease in patients who went to the hospital and an excess of mortality in patients with severe aortic stenosis without infection during the first wave, compared to the same period last year; and also, in COVID-19 positive patients versus COVID-19 negative. |
format | Online Article Text |
id | pubmed-8346332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AEC. Published by Elsevier España, S.L.U. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83463322021-08-09 Impacto del COVID-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial Pascual-Tejerina, Virginia Beneyto, Pedro Cantón, Tomás Hernando, Luis Manuel Pajín, Luis F Moreu-Burgos, José López-Almodóvar, Luis F Rodríguez-Padial, Luis Cir Esp Original INTRODUCTION: Untreated, severe, symptomatic aortic stenosis is associated with an ominous diagnosis without intervention. This study aims to determine the impact of the COVID-19 pandemic on the mortality of patients with severe stenosis during the first wave and compare it with the same period last year. METHODS: All patients who went to the hospitals in an Spanish region during the first wave, and in the same period of previous year, were analyzed using artificial intelligence-based software, evaluating the mortality of patients with severe aortic stenosis with and without COVID-19 during the pandemic and the pre-COVID era. Mortality of the 3 groups was compared. Regarding cardiac surgeries was a tendency to decrease (P = .07) in patients without COVID-19 between the pandemic and the previous period was observed. A significant decrease of surgeries between patients with COVID-19 and without COVID-19 was shown. RESULTS: Data showed 13.82% less admitted patients during the first wave. A total of 1,112 of them had aortic stenosis and 5.48% were COVID-19 positive. Mortality was higher (P = .01), in COVID-19 negative during the pandemic (4.37%) versus those in the pre-COVID-19 era (2.57%); it was also in the COVID-19 positive group (11.47%), versus COVID-19 negative (4.37%) during the first wave (P = .01). CONCLUSIONS: The study revealed a decrease in patients who went to the hospital and an excess of mortality in patients with severe aortic stenosis without infection during the first wave, compared to the same period last year; and also, in COVID-19 positive patients versus COVID-19 negative. AEC. Published by Elsevier España, S.L.U. 2022-12 2021-08-07 /pmc/articles/PMC8346332/ /pubmed/34393253 http://dx.doi.org/10.1016/j.ciresp.2021.08.005 Text en © 2021 AEC. Published by Elsevier España, S.L.U. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Pascual-Tejerina, Virginia Beneyto, Pedro Cantón, Tomás Hernando, Luis Manuel Pajín, Luis F Moreu-Burgos, José López-Almodóvar, Luis F Rodríguez-Padial, Luis Impacto del COVID-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial |
title | Impacto del COVID-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial |
title_full | Impacto del COVID-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial |
title_fullStr | Impacto del COVID-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial |
title_full_unstemmed | Impacto del COVID-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial |
title_short | Impacto del COVID-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial |
title_sort | impacto del covid-19 en pacientes con estenosis aórtica severa: análisis basado en inteligencia artificial |
topic | Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346332/ https://www.ncbi.nlm.nih.gov/pubmed/34393253 http://dx.doi.org/10.1016/j.ciresp.2021.08.005 |
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