ArticleThe American journal of medicine2022
Differences in Inflammation, Treatment, and Outcomes Between Black and Non-Black Patients Hospitalized for COVID-19: A Prospective Cohort Study.
Article in The American journal of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 5 papers.
What it found
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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.
Prospective Observational Study Examining Clinical Characteristics, Inflammatory Markers, Treatments and Outcomes of Patients Hospitalized for COVID-19 at the University of Michigan Healthcare System in Ann Arbor
The International Study of Inflammation in COVID-19: A Prospective Multi-Center Observational Study Examining the Role of Biomarkers of Inflammation in Predicting Covid-19 Related Outcomes in Hospitalized Patients
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Disparities in cardio-oncology: Implication of angiogenesis, inflammation, and chemotherapy.Life sciences · 2023Article
- SuPAR mediates viral response proteinuria by rapidly changing podocyte function.Nature communications · 2023Article
- Evolution of Care and Outcomes Across Surges in Hospitalized Patients with Coronavirus Disease 2019.The American journal of medicine · 2023Observational
- Racial Disparities Between C-Reactive Protein and COVID-19 In-Hospital Outcomes.The American journal of medicine · 2022Article
- Soluble Urokinase Plasminogen Activator Receptor and Venous Thromboembolism in COVID-19.Journal of the American Heart Association · 2022Observational
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Authors and funding
17 authors at 1 institution in 1 country.
Funding
Abstract
purposeRacial disparities in coronavirus disease 2019 (COVID-19) outcomes have been described. We sought to determine whether differences in inflammatory markers, use of COVID-19 therapies, enrollment in clinical trials, and in-hospital outcomes contribute to racial disparities between Black and non-Black patients hospitalized for COVID-19.
methodsWe leveraged a prospective cohort study that enrolled 1325 consecutive patients hospitalized for COVID-19, of whom 341 (25.7%) were Black. We measured biomarkers of inflammation and collected data on the use COVID-19-directed therapies, enrollment in COVID-19 clinical trials, mortality, need for renal replacement therapy, and need for mechanical ventilation.
resultsCompared to non-Black patients, Black patients had a higher prevalence of COVID-19 risk factors including obesity, hypertension, and diabetes mellitus and were more likely to require renal replacement therapy (15.8% vs 7.1%, P < .001) and mechanical ventilation (37.2% vs 26.6%, P < .001) during their hospitalization. Mortality was similar between both groups (15.5% for Blacks vs 14.0% for non-Blacks, P = .49). Black patients were less likely to receive corticosteroids (44.9% vs 63.8%, P< .001) or remdesivir (23.8% vs 57.8%, P < .001) and were less likely to be enrolled in COVID-19 clinical trials (15.3% vs 28.2%, P < .001). In adjusted analyses, Black race was associated with lower levels of C-reactive protein and soluble urokinase receptor and higher odds of death, mechanical ventilation, and renal replacement therapy. Differences in outcomes were not significant after adjusting for use of remdesivir and corticosteroids.
conclusionsRacial differences in outcomes of patients with COVID-19 may be related to differences in inflammatory response and differential use of therapies.
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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.