Open AccessChallenges 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. Desir,
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.