Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China
Identifieur interne : 000176 ( Pmc/Checkpoint ); précédent : 000175; suivant : 000177Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China
Auteurs : Qiurong Ruan ; Kun Yang ; Wenxia Wang ; Lingyu Jiang ; Jianxin SongSource :
- Intensive Care Medicine [ 0342-4642 ] ; 2020.
Url:
DOI: 10.1007/s00134-020-05991-x
PubMed: 32125452
PubMed Central: 7080116
Affiliations:
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<history><date date-type="accepted"><day>24</day>
<month>2</month>
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<permissions><copyright-statement>© Springer-Verlag GmbH Germany, part of Springer Nature 2020</copyright-statement>
<license><license-p>This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.</license-p>
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<name sortKey="Ruan, Qiurong" sort="Ruan, Qiurong" uniqKey="Ruan Q" first="Qiurong" last="Ruan">Qiurong Ruan</name>
<name sortKey="Song, Jianxin" sort="Song, Jianxin" uniqKey="Song J" first="Jianxin" last="Song">Jianxin Song</name>
<name sortKey="Wang, Wenxia" sort="Wang, Wenxia" uniqKey="Wang W" first="Wenxia" last="Wang">Wenxia Wang</name>
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