Sepsis prediction in critically ill patients by platelet activation markers on ICU admission: a prospective pilot study. - Wikidata - wikimedia - TriplyDB

Sepsis prediction in critically ill patients by platelet activation markers on ICU admission: a prospective pilot study.

Sepsis prediction in critically ill patients by platelet activation markers on ICU admission: a prospective pilot study.

http://www.wikidata.org/entity/Q33894675

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Fibrinogen - A Practical and Cost Efficient Biomarker for Detecting Periprosthetic Joint Infection.Platelet activation and prothrombotic properties in a mouse model of peritoneal sepsis

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Sepsis prediction in critically ill patients by platelet activation markers on ICU admission: a prospective pilot study.

http://www.wikidata.org/entity/Q33894675

description

2017 nî lūn-bûn

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2017 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2017 թվականի հուլիսին հրատարակված գիտական հոդված

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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Sepsis prediction in criticall ...... on: a prospective pilot study.

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Sepsis prediction in criticall ...... on: a prospective pilot study.

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Alexandre Hego

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André Gothot

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Christelle Lecut

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Patrizio Lancellotti

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P2860

Signal-dependent translation of a regulatory protein, Bcl-3, in activated human platelets

The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Emerging roles for platelets as immune and inflammatory cells

Severe sepsis and septic shock

Platelet TLR4 activates neutrophil extracellular traps to ensnare bacteria in septic blood

Hyperresponsiveness of platelets in ischemic stroke.

Platelet Toll-like receptor expression modulates lipopolysaccharide-induced thrombocytopenia and tumor necrosis factor-alpha production in vivo.

Immature platelet fraction in predicting sepsis in critically ill patients.

Novel anti-bacterial activities of β-defensin 1 in human platelets: suppression of pathogen growth and signaling of neutrophil extracellular trap formation.

The role of whole blood impedance aggregometry and its utilisation in the diagnosis and prognosis of patients with systemic inflammatory response syndrome and sepsis in acute critical illness.

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