ArticleFrontiers in immunology2024
Predictive biomarkers of mortality in patients with severe COVID-19 hospitalized in intensive care unit.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Integrated Inflammatory, Thrombo-Inflammatory, Redox and Soluble IFNAR2 Profiling During Hospitalization for COVID-19: An Exploratory Observational Cohort Study.Journal of clinical medicine · 2026Article
- MarkerScout: A Disease-Agnostic Machine Learning Framework for Biomarker Prediction from Multi-Scale Mechanistic Models.bioRxiv : the preprint server for biology · 2026Article
- Hematological and biochemical markers for predicting severity in COVID-19 patients.BMC infectious diseases · 2026Observational
- Exploring the timeline and network interplay of immune mediators in COVID-19 patients according to disease outcome.Frontiers in immunology · 2026Observational
- Prediction of Hyperinflammatory Phenotypes in Critically Ill Patients via Routine Clinical Data and IL-6: Towards Personalized Anti-Inflammatory Therapy.International journal of molecular sciences · 2025Article
- Multiplex Targeted Proteomic Analysis of Cytokine Ratios for ICU Mortality in Severe COVID-19.Proteomes · 2025Article
- Risk factors for thrombocytopenia associated with intravenous valproic acid therapy in pediatric patients undergoing neurosurgical operations.Scientific reports · 2025Article
- Advances in Understanding Inflammation and Tissue Damage: Markers of Persistent Sequelae in COVID-19 Patients.Journal of clinical medicine · 2025Review
- Comparative analysis of neutrophil dynamics and disease in SARS-CoV-2 Delta and Omicron variants utilizing anFrontiers in immunology · 2025Article
- Development and validation of a clinical prediction model for in-hospital mortality of severe pneumonia based on machine learning.Frontiers in pharmacology · 2025Article
- Immune Cell-Based versus Albumin-Based Ratios as Outcome Predictors in Critically Ill COVID-19 Patients.Journal of inflammation research · 2025Article
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Authors and funding
14 authors.
Funding
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Abstract
Objectives: This study was performed to identify predictive markers of worse outcomes in patients with severe COVID-19 in an intensive care unit. Methods: Sixty patients with severe COVID-19, hospitalized in the Intensive Care Unit (ICU) between March and July 2021, were stratified into two groups according to the outcome survivors and non-survivors. After admission to the ICU, blood samples were collected directly for biomarker analysis. Routine hematological and biochemical biomarkers, as well as serum levels of cytokines, chemokines, and immunoglobulins, were investigated. Results: Lymphopenia, neutrophilia, and thrombocytopenia were more pronounced in non-surviving patients, while the levels of CRP, AST, creatinine, ferritin, AST, troponin I, urea, magnesium, and potassium were higher in the non-surviving group than the survival group. In addition, serum levels of IL-10, CCL2, CXCL9, and CXCL10 were significantly increased in patients who did not survive. These changes in the biomarkers evaluated were associated with increased mortality in patients with severe COVID-19. Conclusion: The present study confirmed and expanded the validity of laboratory biomarkers as indicators of mortality in severe COVID-19.
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