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Fernando A. Bozza

Researcher at Oswaldo Cruz Foundation

Publications -  333
Citations -  14166

Fernando A. Bozza is an academic researcher from Oswaldo Cruz Foundation. The author has contributed to research in topics: Intensive care & Medicine. The author has an hindex of 56, co-authored 279 publications receiving 9988 citations. Previous affiliations of Fernando A. Bozza include National Institutes of Health & Evandro Chagas Institute.

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A minimal common outcome measure set for COVID-19 clinical research

John Marshall, +62 more
TL;DR: A minimum set of common outcome measures for studies of COVID-19, which includes a measure of viral burden, patient survival, and patient progression through the health-care system by use of the WHO Clinical Progression Scale are urged.
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Cytokine profiles as markers of disease severity in sepsis: a multiplex analysis

TL;DR: In this article, the authors used a multiplex system for simultaneous detection of 17 cytokines (IL-1β, IL-2, IL 4, IL 5, IL 6, IL 7, IL 8, IL 9, IL 10, IL 11, IL 12, IL 13, interferon-γ, MCP-1, macrophage inflammatory protein-1 and tumour necrosis factor-α).
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Platelet activation and platelet-monocyte aggregate formation trigger tissue factor expression in patients with severe COVID-19.

TL;DR: It is demonstrated that increased platelet activation and platelet-monocyte aggregate formation are observed in severe COVID-19 patients, but not in patients presenting mild CO VID-19 syndrome, and these data shed light on new pathological mechanisms involving plateletactivation and Platelet-dependent monocyte TF expression, which were associated with COVID -19 severity and mortality.
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A central role for free heme in the pathogenesis of severe sepsis.

TL;DR: Protective effect of this heme-catabolizing enzyme relies on its ability to prevent tissue damage caused by the circulating free heme released from hemoglobin during infection, and it is proposed that targeting freeHeme by HPX might be used therapeutically to treat severe sepsis.
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Multiplex cytokine profile from dengue patients: MIP-1beta and IFN-gamma as predictive factors for severity

TL;DR: The use of a multiple cytokine assay platform was suitable for identifying distinct cytokine profiles associated with the dengue clinical manifestations and severity and MIP-β is indicated for the first time as a good prognostic marker in contrast to IFN-γ that was associated with disease severity.