ArticleCritical care explorations2020
Inflammation Profiling of Critically Ill Coronavirus Disease 2019 Patients.
Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 113 citations in OpenAlex.
- Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Pooled it
- The role of interleukin-18 in the diagnosis and monitoring of hemophagocytic lymphohistiocytosis/macrophage activation syndrome - a systematic review.Clinical and experimental immunology · 2021Pooled it
- Integration of the circulating miRNome and clinical information to predict 90-day mortality in elderly COVID-19 subphenotypes.iScience · 2026Article
- Computational proteomics to enhance personalized treatment of COVID-19 and Long COVID.Clinical proteomics · 2026Review
- Effects of Cacao Flavonoids in Long COVID-19 Patients with Chronic Fatigue: FLALOC, a Placebo-Controlled Randomized Clinical Trial.Journal of clinical medicine · 2026Article
- Integrated humoral and inflammatory signatures predict outcomes in severe COVID-19: a 14-day longitudinal analysis.Clinical & translational immunology · 2026Article
- Divergent biological pathways distinguish community-acquired pneumonia from COVID-19 despite similar plasma cytokine profiles.Respiratory research · 2025Article
- The innate immune response in SARS-CoV2 infection: focus on toll-like receptor 4 in severe disease outcomes.Frontiers in immunology · 2025Review
- Functional mass spectrometry indicates anti-protease and complement activity increase with COVID-19 severity.Experimental biology and medicine (Maywood, N.J.) · 2025Article
- IL-18 and IL-18BP: A Unique Dyad in Health and Disease.International journal of molecular sciences · 2024Review
- A reduced proteomic signature in critically ill Covid-19 patients determined with plasma antibody micro-array and machine learning.Clinical proteomics · 2024Article
- Kinome and phosphoproteome reprogramming underlies the aberrant immune responses in critically ill COVID-19 patients.Clinical proteomics · 2024Article
- Viral afterlife: SARS-CoV-2 as a reservoir of immunomimetic peptides that reassemble into proinflammatory supramolecular complexes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Impact of COVID status and blood group on complications in patients in hemorrhagic shock.Trauma surgery & acute care open · 2024Article
- Plasma proteome of Long-COVID patients indicates HIF-mediated vasculo-proliferative disease with impact on brain and heart function.Journal of translational medicine · 2023Article
- Neurologic Complications of Patients With COVID-19 Requiring Extracorporeal Membrane Oxygenation: A Systematic Review and Meta-Analysis.Critical care explorations · 2023Review
- Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning.Molecular medicine (Cambridge, Mass.) · 2023Article
- Sandwich-like electrochemical aptasensing of heat shock protein 70 kDa (HSP70): Application in diagnosis/prognosis of coronavirus disease 2019 (COVID-19).Analytica chimica acta · 2023Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesCoronavirus disease 2019 is caused by severe acute respiratory syndrome-coronavirus-2 infection to which there is no community immunity. Patients admitted to ICUs have high mortality, with only supportive therapies available. Our aim was to profile plasma inflammatory analytes to help understand the host response to coronavirus disease 2019.
designDaily blood inflammation profiling with immunoassays.
settingTertiary care ICU and academic laboratory. SUBJECTS: All patients admitted to the ICU suspected of being infected with severe acute respiratory syndrome-coronavirus-2, using standardized hospital screening methodologies, had daily blood samples collected until either testing was confirmed negative on ICU day 3 (coronavirus disease 2019 negative), or until ICU day 7 if the patient was positive (coronavirus disease 2019 positive).
interventionsNone. MEASUREMENTS AND MAIN
resultsAge- and sex-matched healthy controls and ICU patients that were either coronavirus disease 2019 positive or coronavirus disease 2019 negative were enrolled. Cohorts were well-balanced with the exception that coronavirus disease 2019 positive patients were more likely than coronavirus disease 2019 negative patients to suffer bilateral pneumonia. Mortality rate for coronavirus disease 2019 positive ICU patients was 40%. We measured 57 inflammatory analytes and then analyzed with both conventional statistics and machine learning. Twenty inflammatory analytes were different between coronavirus disease 2019 positive patients and healthy controls (
conclusionsWhile many inflammatory analytes were elevated in coronavirus disease 2019 positive ICU patients, relative to healthy controls, the top six analytes distinguishing coronavirus disease 2019 positive ICU patients from coronavirus disease 2019 negative ICU patients were tumor necrosis factor, granzyme B, heat shock protein 70, interleukin-18, interferon-gamma-inducible protein 10, and elastase 2.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.