| Autor: |
Claire Tardiveau, Guillaume Monneret, Anne-Claire Lukaszewicz, Valérie Cheynet, Elisabeth Cerrato, Katia Imhoff, Estelle Peronnet, Maxime Bodinier, Louis Kreitmann, Sophie Blein, Jean-François Llitjos, Filippo Conti, Morgane Gossez, Marielle Buisson, Hodane Yonis, Martin Cour, Laurent Argaud, Marie-Charlotte Delignette, Florent Wallet, Frederic Dailler, Céline Monard, Karen Brengel-Pesce, Fabienne Venet, the RICO study group |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Frontiers in Immunology, Vol 13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1664-3224 |
| DOI: |
10.3389/fimmu.2022.1022750 |
| Popis: |
Immune responses affiliated with COVID-19 severity have been characterized and associated with deleterious outcomes. These approaches were mainly based on research tools not usable in routine clinical practice at the bedside. We observed that a multiplex transcriptomic panel prototype termed Immune Profiling Panel (IPP) could capture the dysregulation of immune responses of ICU COVID-19 patients at admission. Nine transcripts were associated with mortality in univariate analysis and this 9-mRNA signature remained significantly associated with mortality in a multivariate analysis that included age, SOFA and Charlson scores. Using a machine learning model with these 9 mRNA, we could predict the 28-day survival status with an Area Under the Receiver Operating Curve (AUROC) of 0.764. Interestingly, adding patients’ age to the model resulted in increased performance to predict the 28-day mortality (AUROC reaching 0.839). This prototype IPP demonstrated that such a tool, upon clinical/analytical validation and clearance by regulatory agencies could be used in clinical routine settings to quickly identify patients with higher risk of death requiring thus early aggressive intensive care. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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