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Serum IgG4 level predicts COVID-19 related mortality
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Federation of Internal Medicine. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461218/ https://www.ncbi.nlm.nih.gov/pubmed/34598853 http://dx.doi.org/10.1016/j.ejim.2021.09.012 |
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author | Della-Torre, Emanuel Lanzillotta, Marco Strollo, Marta Ramirez, Giuseppe Alvise Dagna, Lorenzo Tresoldi, Moreno |
author_facet | Della-Torre, Emanuel Lanzillotta, Marco Strollo, Marta Ramirez, Giuseppe Alvise Dagna, Lorenzo Tresoldi, Moreno |
author_sort | Della-Torre, Emanuel |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8461218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | European Federation of Internal Medicine. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84612182021-09-24 Serum IgG4 level predicts COVID-19 related mortality Della-Torre, Emanuel Lanzillotta, Marco Strollo, Marta Ramirez, Giuseppe Alvise Dagna, Lorenzo Tresoldi, Moreno Eur J Intern Med Letter to the Editor European Federation of Internal Medicine. Published by Elsevier B.V. 2021-11 2021-09-24 /pmc/articles/PMC8461218/ /pubmed/34598853 http://dx.doi.org/10.1016/j.ejim.2021.09.012 Text en © 2021 European Federation of Internal Medicine. Published by Elsevier B.V. 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 | Letter to the Editor Della-Torre, Emanuel Lanzillotta, Marco Strollo, Marta Ramirez, Giuseppe Alvise Dagna, Lorenzo Tresoldi, Moreno Serum IgG4 level predicts COVID-19 related mortality |
title | Serum IgG4 level predicts COVID-19 related mortality |
title_full | Serum IgG4 level predicts COVID-19 related mortality |
title_fullStr | Serum IgG4 level predicts COVID-19 related mortality |
title_full_unstemmed | Serum IgG4 level predicts COVID-19 related mortality |
title_short | Serum IgG4 level predicts COVID-19 related mortality |
title_sort | serum igg4 level predicts covid-19 related mortality |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461218/ https://www.ncbi.nlm.nih.gov/pubmed/34598853 http://dx.doi.org/10.1016/j.ejim.2021.09.012 |
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