A score combining early detection of cytokines accurately predicts COVID-19 severity and intensive care unit transfer | Zendy

Carole Nagant | Zendy; Fanny Ponthieux | Zendy; Julie Smet | Zendy; Nicolás Dauby | Zendy; V. Doyen | Zendy; Tatiana BesseHammer | Zendy; David De Bels | Zendy; Evelyne Maillart | Zendy; Francis Corazza | Zendy

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A score combining early detection of cytokines accurately predicts COVID-19 severity and intensive care unit transfer

Author(s) -

Carole Nagant,

Fanny Ponthieux,

Julie Smet,

Nicolás Dauby,

V. Doyen,

Tatiana BesseHammer,

David De Bels,

Evelyne Maillart,

Francis Corazza

Publication year - 2020

Publication title -

international journal of infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.278

H-Index - 89

eISSN - 1878-3511

pISSN - 1201-9712

DOI - 10.1016/j.ijid.2020.10.003

Subject(s) - medicine , intensive care unit , severity of illness , mechanical ventilation , triage , covid-19 , apache ii , critically ill , cytokine , disease , illness severity , predictive value of tests , intensive care medicine , emergency medicine , infectious disease (medical specialty)

We aimed to explore cytokine profile in patients as it relates to Coronavirus Disease 2019 (COVID-19) severity, and to establish a predictive cytokine score to discriminate severe from non-severe cases and provide a prognosis parameter for patients that will require intensive care unit (ICU) transfer.

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