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PERSONALIZING THE OPTIMAL CARDIAC TROPONIN THRESHOLD FOR COVID-19 PROGNOSTICATION BASED ON PRE-EXISTING COMORBIDITIES
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American College of Cardiology Foundation. Published by Elsevier Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972416/ http://dx.doi.org/10.1016/S0735-1097(22)03053-4 |
| _version_ | 1784679833427509248 |
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| author | Ruge, Max de Lavallaz, Jeanne du Fay Danley, Kelsey T. Gomez, Joanne Michelle D. Gajo, Eileen Sarau, Alexandra Simmons, J. Alan Rao, Anupama Williams, Kim Allan Volgman, Annabelle S. Marinescu, Karolina Suboc, Tisha Marie |
| author_facet | Ruge, Max de Lavallaz, Jeanne du Fay Danley, Kelsey T. Gomez, Joanne Michelle D. Gajo, Eileen Sarau, Alexandra Simmons, J. Alan Rao, Anupama Williams, Kim Allan Volgman, Annabelle S. Marinescu, Karolina Suboc, Tisha Marie |
| author_sort | Ruge, Max |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8972416 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | American College of Cardiology Foundation. Published by Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-89724162022-04-01 PERSONALIZING THE OPTIMAL CARDIAC TROPONIN THRESHOLD FOR COVID-19 PROGNOSTICATION BASED ON PRE-EXISTING COMORBIDITIES Ruge, Max de Lavallaz, Jeanne du Fay Danley, Kelsey T. Gomez, Joanne Michelle D. Gajo, Eileen Sarau, Alexandra Simmons, J. Alan Rao, Anupama Williams, Kim Allan Volgman, Annabelle S. Marinescu, Karolina Suboc, Tisha Marie J Am Coll Cardiol Spotlight on Special Topics American College of Cardiology Foundation. Published by Elsevier Inc. 2022-03-08 2022-04-01 /pmc/articles/PMC8972416/ http://dx.doi.org/10.1016/S0735-1097(22)03053-4 Text en © 2022 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 | Spotlight on Special Topics Ruge, Max de Lavallaz, Jeanne du Fay Danley, Kelsey T. Gomez, Joanne Michelle D. Gajo, Eileen Sarau, Alexandra Simmons, J. Alan Rao, Anupama Williams, Kim Allan Volgman, Annabelle S. Marinescu, Karolina Suboc, Tisha Marie PERSONALIZING THE OPTIMAL CARDIAC TROPONIN THRESHOLD FOR COVID-19 PROGNOSTICATION BASED ON PRE-EXISTING COMORBIDITIES |
| title | PERSONALIZING THE OPTIMAL CARDIAC TROPONIN THRESHOLD FOR COVID-19 PROGNOSTICATION BASED ON PRE-EXISTING COMORBIDITIES |
| title_full | PERSONALIZING THE OPTIMAL CARDIAC TROPONIN THRESHOLD FOR COVID-19 PROGNOSTICATION BASED ON PRE-EXISTING COMORBIDITIES |
| title_fullStr | PERSONALIZING THE OPTIMAL CARDIAC TROPONIN THRESHOLD FOR COVID-19 PROGNOSTICATION BASED ON PRE-EXISTING COMORBIDITIES |
| title_full_unstemmed | PERSONALIZING THE OPTIMAL CARDIAC TROPONIN THRESHOLD FOR COVID-19 PROGNOSTICATION BASED ON PRE-EXISTING COMORBIDITIES |
| title_short | PERSONALIZING THE OPTIMAL CARDIAC TROPONIN THRESHOLD FOR COVID-19 PROGNOSTICATION BASED ON PRE-EXISTING COMORBIDITIES |
| title_sort | personalizing the optimal cardiac troponin threshold for covid-19 prognostication based on pre-existing comorbidities |
| topic | Spotlight on Special Topics |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972416/ http://dx.doi.org/10.1016/S0735-1097(22)03053-4 |
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