Multidimensional analysis of immune cells from COVID-19 patients identified cell subsets associated with the severity at hospital admission.

ABSTRACT:

Background

SARS-CoV-2 emerged as a new coronavirus causing COVID-19, and it has been responsible for more than 760 million cases and 6.8 million deaths worldwide until March 2023. Although infected individuals could be asymptomatic, other patients presented heterogeneity and a wide range of symptoms. Therefore, identifying those infected individuals and being able to classify them according to their expected severity could help target health efforts more effectively.

Methodology/principal findings

Therefore, we wanted to develop a machine learning model to predict those who will develop severe disease at the moment of hospital admission. We recruited 75 individuals and analysed innate and adaptive immune system subsets by flow cytometry. Also, we collected clinical and bioch

SUBMITTER: Gil-Manso S 

PROVIDER: S-EPMC10263360 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature