Observational studyInternational journal of molecular sciences2022
Cytokines from Bench to Bedside: A Retrospective Study Identifies a Definite Panel of Biomarkers to Early Assess the Risk of Negative Outcome in COVID-19 Patients.
Observational study in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Systematic review with meta-analysis of mid-regional pro-adrenomedullin (MR-proadm) as a prognostic marker in Covid-19-hospitalized patients.Annals of medicine · 2023Pooled it
- Identification of blood immunological biomarkers of SARS-CoV-2 infection during pandemic in Poland.Frontiers in immunology · 2025Article
- Association between sore throat and early immune responses against COVID-19 before and after the emergence of the Omicron variant.Annals of translational medicine · 2024Article
- Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction.Scientific reports · 2024Article
- Investigating the relationship between the immune response and the severity of COVID-19: a large-cohort retrospective study.Frontiers in immunology · 2024Observational
- Extracellular vesicle features are associated with COVID-19 severity.Journal of cellular and molecular medicine · 2023Article
- Dominant CT Patterns and Immune Responses during the Early Infection Phases of Different SARS-CoV-2 Variants.Viruses · 2023Observational
- Predictive values of immune indicators on respiratory failure in the early phase of COVID-19 due to Delta and precedent variants.Frontiers in immunology · 2023Observational
- Different cytokine and chemokine profiles in hospitalized patients with COVID-19 during the first and second outbreaks from Argentina show no association with clinical comorbidities.Frontiers in immunology · 2023Article
- Combining Deep Phenotyping of Serum Proteomics and Clinical Data via Machine Learning for COVID-19 Biomarker Discovery.International journal of molecular sciences · 2022Article
- The prognostic value of the Barthel Index for mortality in patients with COVID-19: A cross-sectional study.Frontiers in public health · 2022Article
- Role of MR-proADM and Monocyte CD169 in Predicting In-Hospital and 60-Day Mortality in COVID-19 Patients.Clinical pathology (Thousand Oaks, Ventura County, Calif.)Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main aim of this study was to identify the most relevant cytokines which, when assessed in the earliest stages from hospital admission, may help to select COVID-19 patients with worse prognosis. A retrospective observational study was conducted in 415 COVID-19 patients (272 males; mean age 68 ± 14 years) hospitalized between May 2020 and March 2021. Within the first 72 h from hospital admission, patients were tested for a large panel of biomarkers, including C-reactive protein (CRP), Mid-regional proadrenomedullin (MR-proADM), Interferon-γ, interleukin 6 (IL-6), IL-1β, IL-8, IL-10, soluble IL2-receptor-α (sIL2Rα), IP10 and TNFα. Extensive statistical analyses were performed (correlations,
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