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USING QT INTERVAL AS A PREDICTOR OF ILLNESS ACUITY DUE TO COVID-19
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American College of Cardiology Foundation. Published by Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982909/ http://dx.doi.org/10.1016/S0735-1097(23)00515-6 |
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author | Vangala, Adarsh S. Myla, Madhura Harkins, Michelle Sheldon, Mark W. Raizada, Veena |
author_facet | Vangala, Adarsh S. Myla, Madhura Harkins, Michelle Sheldon, Mark W. Raizada, Veena |
author_sort | Vangala, Adarsh S. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9982909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American College of Cardiology Foundation. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99829092023-03-03 USING QT INTERVAL AS A PREDICTOR OF ILLNESS ACUITY DUE TO COVID-19 Vangala, Adarsh S. Myla, Madhura Harkins, Michelle Sheldon, Mark W. Raizada, Veena J Am Coll Cardiol Electrophysiology American College of Cardiology Foundation. Published by Elsevier Inc. 2023-03-07 2023-03-03 /pmc/articles/PMC9982909/ http://dx.doi.org/10.1016/S0735-1097(23)00515-6 Text en © 2023 American College of Cardiology Foundation 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 | Electrophysiology Vangala, Adarsh S. Myla, Madhura Harkins, Michelle Sheldon, Mark W. Raizada, Veena USING QT INTERVAL AS A PREDICTOR OF ILLNESS ACUITY DUE TO COVID-19 |
title | USING QT INTERVAL AS A PREDICTOR OF ILLNESS ACUITY DUE TO COVID-19 |
title_full | USING QT INTERVAL AS A PREDICTOR OF ILLNESS ACUITY DUE TO COVID-19 |
title_fullStr | USING QT INTERVAL AS A PREDICTOR OF ILLNESS ACUITY DUE TO COVID-19 |
title_full_unstemmed | USING QT INTERVAL AS A PREDICTOR OF ILLNESS ACUITY DUE TO COVID-19 |
title_short | USING QT INTERVAL AS A PREDICTOR OF ILLNESS ACUITY DUE TO COVID-19 |
title_sort | using qt interval as a predictor of illness acuity due to covid-19 |
topic | Electrophysiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982909/ http://dx.doi.org/10.1016/S0735-1097(23)00515-6 |
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