Abstract Background: Infective endocarditis (IE) is associated with severe complications and high mortality. The assessment of mortality rates and predictors for fatal events is important to identify

NIAID Data Ecosystem50

Gene Expression Analysis of Blood Reveals S100A11 and AQP9 as Potential Biomarkers of Infective Endocarditis. Homo sapiens

感染性心内膜炎

生物标志物发现

Background—Diagnosis and pronostic assessment are challenging in infective endocarditis (IE). To investigate the host response during IE and identify potential biomarkers, we determined the circulatin

NIAID Data Ecosystem30

Demographic Characteristics of Hospitalized Patients with IE*.

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