The aim of the study is to evaluate a clinically and economically most effective diagnostic algorithm for prediction of inflammatory response related complications in patients undergoing heart surgery with use of cardiopulmonary bypass.
Identified so far predictors of mortality and/or morbidity in patients who undergo heart surgery with cardiopulmonary bypass (CPB), used in previous risk prediction models (EUROSCORE, CABDEAL, Cleveland), will be compared with new candidate variables: 1. anamnestic: recent tooth extractions, chronic inflammatory diseases, specific drug use; 2. biochemical: C-reacting protein, interleukin-6, tumor necrosing factor alpha; 3. genetical: single nucleotide polymorphisms of 10 genes associated with inflammatory response; and 4. clinical from the 1. postoperative day: systemic inflammatory response syndrome, APACHE-III score; against their predictive capability of selected clinical phenotypes of inflammatory response occuring after surgery, beginning from day 2. after surgery.
Study Type
OBSERVATIONAL
Enrollment
525
cardiac surgery with CPB use or ascending aorta surgery performed with use of cardiopulmonary bypass with or without aortic cross clamping.
Medical University of Gdańsk, Academic Clinical Centre, Department of Cardiac Anaesthesiology
Gdansk, Poland
Clinical phenotypes of inflammatory response: SIRS, acute lung injury/acute respiratory distress syndrome, acute kidney injury, atrial fibrillation, postoperative psychosis, perioperative myocardial infarct/injury, sepsis.
Time frame: between day 2 after operation and hospital discharge
all cause inhospital mortality
Time frame: from day 2 after operation
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.