Challenges in interpreting cytokine data in COVID-19 affect patient care and management | Zendy

Stephen Y. Wang | Zendy; Takehiro Takahashi | Zendy; Alexander B. Pine | Zendy; William Damsky | Zendy; Michael Simonov | Zendy; Yanhua Zhang | Zendy; Elizabeth Kieras | Zendy; Christina Price | Zendy; Brett King | Zendy; Mark D. Siegel | Zendy; Gary V. Désir | Zendy; Alfred Ian Lee | Zendy; Akiko Iwasaki | Zendy; Hyung J. Chun | Zendy

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Challenges in interpreting cytokine data in COVID-19 affect patient care and management

Author(s) -

Stephen Y. Wang,

Takehiro Takahashi,

Alexander B. Pine,

William Damsky,

Michael Simonov,

Yanhua Zhang,

Elizabeth Kieras,

Christina Price,

Brett King,

Mark D. Siegel,

Gary V. Désir,

Alfred Ian Lee,

Akiko Iwasaki,

Hyung J. Chun

Publication year - 2021

Publication title -

plos biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 4.127

H-Index - 271

eISSN - 1545-7885

pISSN - 1544-9173

DOI - 10.1371/journal.pbio.3001373

Subject(s) - covid-19 , biology , pandemic , cytokine , disease management , disease , coronavirus , limiting , data science , immunology , virology , medline , outbreak , infectious disease (medical specialty) , computer science , medicine , pathology , mechanical engineering , biochemistry , systematic review , engineering

Challenges in using cytokine data are limiting Coronavirus Disease 2019 (COVID-19) patient management and comparison among different disease contexts. We suggest mitigation strategies to improve the accuracy of cytokine data, as we learn from experience gained during the COVID-19 pandemic.

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