A 9-mRNA signature measured from whole blood by a prototype PCR panel predicts 28-day mortality upon admission of critically ill COVID-19 patients
Abstrak
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.
Topik & Kata Kunci
Penulis (40)
Claire Tardiveau
Claire Tardiveau
Guillaume Monneret
Guillaume Monneret
Anne-Claire Lukaszewicz
Anne-Claire Lukaszewicz
Valérie Cheynet
Valérie Cheynet
Elisabeth Cerrato
Elisabeth Cerrato
Katia Imhoff
Katia Imhoff
Estelle Peronnet
Estelle Peronnet
Maxime Bodinier
Maxime Bodinier
Louis Kreitmann
Louis Kreitmann
Sophie Blein
Sophie Blein
Jean-François Llitjos
Jean-François Llitjos
Jean-François Llitjos
Filippo Conti
Filippo Conti
Morgane Gossez
Morgane Gossez
Marielle Buisson
Hodane Yonis
Martin Cour
Laurent Argaud
Marie-Charlotte Delignette
Florent Wallet
Frederic Dailler
Céline Monard
Karen Brengel-Pesce
Karen Brengel-Pesce
Fabienne Venet
Fabienne Venet
the RICO study group
Format Sitasi
Akses Cepat
- Tahun Terbit
- 2022
- Sumber Database
- DOAJ
- DOI
- 10.3389/fimmu.2022.1022750
- Akses
- Open Access ✓