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CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577323/ https://www.ncbi.nlm.nih.gov/pubmed/33135353 http://dx.doi.org/10.1002/ctm2.210 |
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author | Gao, Yue Chen, Lingxi Zeng, Shaoqing Feng, Xikang Chi, JianHua Wang, Ya Li, Huayi Jiang, Tengping Yu, Yang Jiao, XiaoFei Liu, Dan Feng, XinXia Wang, SiYuan Yu, RuiDi Yuan, Yuan Xu, Sen Cai, Guangyao Xiong, Xiaoming Chen, Pingbo Mo, Qingqing Jin, Xin Wu, Yuan Ma, Ding Li, Chunrui Li, Shuai Cheng Gao, Qinglei |
author_facet | Gao, Yue Chen, Lingxi Zeng, Shaoqing Feng, Xikang Chi, JianHua Wang, Ya Li, Huayi Jiang, Tengping Yu, Yang Jiao, XiaoFei Liu, Dan Feng, XinXia Wang, SiYuan Yu, RuiDi Yuan, Yuan Xu, Sen Cai, Guangyao Xiong, Xiaoming Chen, Pingbo Mo, Qingqing Jin, Xin Wu, Yuan Ma, Ding Li, Chunrui Li, Shuai Cheng Gao, Qinglei |
author_sort | Gao, Yue |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-7577323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75773232020-10-23 CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19 Gao, Yue Chen, Lingxi Zeng, Shaoqing Feng, Xikang Chi, JianHua Wang, Ya Li, Huayi Jiang, Tengping Yu, Yang Jiao, XiaoFei Liu, Dan Feng, XinXia Wang, SiYuan Yu, RuiDi Yuan, Yuan Xu, Sen Cai, Guangyao Xiong, Xiaoming Chen, Pingbo Mo, Qingqing Jin, Xin Wu, Yuan Ma, Ding Li, Chunrui Li, Shuai Cheng Gao, Qinglei Clin Transl Med Letter to Editor John Wiley and Sons Inc. 2020-10-21 /pmc/articles/PMC7577323/ /pubmed/33135353 http://dx.doi.org/10.1002/ctm2.210 Text en © 2020 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letter to Editor Gao, Yue Chen, Lingxi Zeng, Shaoqing Feng, Xikang Chi, JianHua Wang, Ya Li, Huayi Jiang, Tengping Yu, Yang Jiao, XiaoFei Liu, Dan Feng, XinXia Wang, SiYuan Yu, RuiDi Yuan, Yuan Xu, Sen Cai, Guangyao Xiong, Xiaoming Chen, Pingbo Mo, Qingqing Jin, Xin Wu, Yuan Ma, Ding Li, Chunrui Li, Shuai Cheng Gao, Qinglei CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19 |
title | CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19 |
title_full | CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19 |
title_fullStr | CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19 |
title_full_unstemmed | CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19 |
title_short | CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19 |
title_sort | cirpmc: an online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with covid‐19 |
topic | Letter to Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577323/ https://www.ncbi.nlm.nih.gov/pubmed/33135353 http://dx.doi.org/10.1002/ctm2.210 |
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