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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.
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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:
against their predictive capability of selected clinical phenotypes of inflammatory response occuring after surgery, beginning from day 2. after surgery.
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525 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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