Novel prognostic determinants of COVID-19-related mortality: A pilot study on severely-ill patients in Russia.
Kseniya A RubinaAnna ShmakovaAslan ShabanovYulii AndreevNatalia BorovkovaVladimir KulabukhovAnatoliy EvseevKonstantin PopugaevSergey PetrikovEkaterina V SeminaPublished in: PloS one (2022)
COVID-19 pandemic has posed a severe healthcare challenge calling for an integrated approach in determining the clues for early non-invasive diagnostics of the potentially severe cases and efficient patient stratification. Here we analyze the clinical, laboratory and CT scan characteristics associated with high risk of COVID-19-related death outcome in the cohort of severely-ill patients in Russia. The data obtained reveal that elevated dead lymphocyte counts, decreased early apoptotic lymphocytes, decreased CD14+/HLA-Dr+ monocytes, increased expression of JNK in PBMCs, elevated IL-17 and decreased PAI-1 serum levels are associated with a high risk of COVID-19-related mortality thus suggesting them to be new prognostic factors. This set of determinants could be used as early predictors of potentially severe course of COVID-19 for trials of prevention or timely treatment.
Keyphrases
- prognostic factors
- coronavirus disease
- sars cov
- end stage renal disease
- healthcare
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peripheral blood
- cell death
- computed tomography
- early onset
- peritoneal dialysis
- drug induced
- type diabetes
- cardiovascular events
- gene expression
- poor prognosis
- magnetic resonance imaging
- respiratory syndrome coronavirus
- case report
- signaling pathway
- magnetic resonance
- dna methylation
- genome wide
- anti inflammatory
- social media
- artificial intelligence
- deep learning
- coronary artery disease