Challenges in interpreting cytokine data in COVID-19 affect patient care and management.,PLOS Biology

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Challenges in interpreting cytokine data in COVID-19 affect patient care and management.
PLOS Biology ( IF 9.8 ) Pub Date : 2021-08-06 , DOI: 10.1371/journal.pbio.3001373
Stephen Y Wang ₁ , Takehiro Takahashi ₂ , Alexander B Pine _{3,

4} , William E Damsky ₅ , Michael Simonov ₁ , Yanhua Zhang ₆ , Elizabeth Kieras ₆ , Christina C Price ₇ , Brett A King ₅ , Mark D Siegel ₈ , Gary V Desir ₁ , Alfred I Lee ₃ , Akiko Iwasaki _{2,

9} , Hyung J Chun _{1,

9,

10}

Affiliation

Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, United States of America.
Section of Hematology, Yale School of Medicine, New Haven, Connecticut, United States of America.
VA Connecticut Healthcare System, West Haven, Connecticut, United States of America.
Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, United States of America.
Pfizer, Inc., New York, New York, United States of America.
Section of Allergy and Clinical Immunology, Yale School of Medicine, New Haven, Connecticut, United States of America.
Section of Pulmonology and Critical Care Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America.
Yale Cardiovascular Research Center, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut.

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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