Early inflammatory profiles predict maximal disease severity in COVID-19: An unsupervised cluster analysis

Grace Kenny; Gurvin Saini; Colette Marie Gaillard; Riya Negi; Dana Alalwan; A. Léon; Kathleen McCann; Willard Tinago; Christine Kelly; Aoife G. Cotter; Eoghan de Barra; Mary Horgan; Obada Yousif; Virginie Gautier; Alan Landay; Danny McAuley; Eoin R. Feeney; Cecilia M. O’Kane; Patrick Mallon

doi:10.1016/j.heliyon.2024.e34694

Abstract

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The inflammatory changes that underlie the heterogeneous presentations of COVID-19 remain incompletely understood. In this study we aimed to identify inflammatory profiles that precede the development of severe COVID-19, that could serve as targets for optimised delivery of immunomodulatory therapies and provide insights for the development of new therapies.

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Kenny et al. (2024) studied this question.

synapsesocial.com/papers/68e5f630b6db64358758aae8 https://doi.org/10.1016/j.heliyon.2024.e34694

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Early inflammatory profiles predict maximal disease severity in COVID-19: An unsupervised cluster analysis

Abstract

Discussion

Cite This Study

Early inflammatory profiles predict maximal disease severity in COVID-19: An unsupervised cluster analysis

Abstract

Discussion

Cite This Study

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