Myocardial Ischemia Clinical Trial
Official title:
Myocardial Injury in Severe Pneumococcal Pneumonia as a Cause of Mortality From Acute Cardiovascular Events
Hypothesis: The "novo" cardiovascular events (CVE)in patients with severe community-acquired pneumonia (CAP) are frequent (17%) and could be associated with both direct pneumococcal myocardial invasion, toxin delivery (pneumolysin) or different biomarkers (histones, NETs(neutrophil extracellular traps), IL (Interleukin)-1b,h-Fabp (heart-Fatty acid bindding protein) ).The CVE frequency and its impact on outcome in patients without prior heart disease (CP) has not been studied. Objectives:1) To determine the incidence of myocardian injury (MI) and CVE in patients with CAP without CP evaluated by non-invasive techniques (Echocardiograph and MRI) and biomarkers levels (Tn-I (Troponin I), h-Fabp, NT-proBNP (N-terminal pro-brain natriuretic peptide) histones, NETs, IL 1b); 2) To assess if DMA and CVE are related to the etiology and their impact on outcome , 3) To investigate the presence of myocardial scarring by MRI and its relationship with etiology and MI, and 4) To identify prognostic factors of DMA and CVE to determine level of risk.
Area: Intensive care unit (ICU) of the participating hospitals. Patients: Forty patients with CAP without heart disease history will be included consecutively (20 patients with pneumococcal CAP and 20 patients with non-pneumococcal CAP).Ten healthy volunteers (controls) are included. Variables: Epidemiological, clinical and hemodynamic variables are recorded. Presence of MI and CVE measured by echocardiography and by biomarkers will be evaluated during the ICU stay. Presence of scarring miocardic by MRI technique will be determined at month 6 since ICU admission. Statistical analysis: Categorical (Fisher's exact test) and continuous variables( Wilconxon and Anova) will be used to determine differences between them. The Pearson correlation, ROC (discriminatory power) and logistic regression analysis(independent association) will be used to determine the association between variables and outcome. A p-value of 0.05 will be considered significant. ;
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