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Abstract #1004004: Diabesity as the Predictor for The Need For Intensive Care For Management of COVID-19
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162027/ http://dx.doi.org/10.1016/j.eprac.2021.04.593 |
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author | Patange, Sonali Padhye, Dakshata Gandhi, Alka Sanghvi, Ami Patange, Ambrish Karkhanis, Shefali Rajput, Amit Gonsalves, Bensley |
author_facet | Patange, Sonali Padhye, Dakshata Gandhi, Alka Sanghvi, Ami Patange, Ambrish Karkhanis, Shefali Rajput, Amit Gonsalves, Bensley |
author_sort | Patange, Sonali |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8162027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81620272021-05-28 Abstract #1004004: Diabesity as the Predictor for The Need For Intensive Care For Management of COVID-19 Patange, Sonali Padhye, Dakshata Gandhi, Alka Sanghvi, Ami Patange, Ambrish Karkhanis, Shefali Rajput, Amit Gonsalves, Bensley Endocr Pract Article Published by Elsevier Inc. 2021-06 2021-05-28 /pmc/articles/PMC8162027/ http://dx.doi.org/10.1016/j.eprac.2021.04.593 Text en Copyright © 2021 Published by Elsevier Inc. 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 | Article Patange, Sonali Padhye, Dakshata Gandhi, Alka Sanghvi, Ami Patange, Ambrish Karkhanis, Shefali Rajput, Amit Gonsalves, Bensley Abstract #1004004: Diabesity as the Predictor for The Need For Intensive Care For Management of COVID-19 |
title | Abstract #1004004: Diabesity as the Predictor for The Need For Intensive Care For Management of COVID-19 |
title_full | Abstract #1004004: Diabesity as the Predictor for The Need For Intensive Care For Management of COVID-19 |
title_fullStr | Abstract #1004004: Diabesity as the Predictor for The Need For Intensive Care For Management of COVID-19 |
title_full_unstemmed | Abstract #1004004: Diabesity as the Predictor for The Need For Intensive Care For Management of COVID-19 |
title_short | Abstract #1004004: Diabesity as the Predictor for The Need For Intensive Care For Management of COVID-19 |
title_sort | abstract #1004004: diabesity as the predictor for the need for intensive care for management of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162027/ http://dx.doi.org/10.1016/j.eprac.2021.04.593 |
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