Atrial Fibrillation Clinical Trial
Official title:
Predicting Post-surgery Complications in Patients Undergoing Coronary Artery Bypass Graft Through the Assessment of Perioperative Cardiovascular Control Indices
Characterization of the perioperative autonomic nervous system state, cardiovascular and cerebrovascular control and microcirculation in order to predict postoperative atrial fibrillation and acute kidney injury in patients undergoing coronary artery bypass graft surgery
Atrial fibrillation (AF) and acute kidney injury (AKI) are common postoperative
complications in patients undergoing coronary artery bypass graft (CABG) surgery. AKI
increases postoperative mortality and AF prolongs the hospital stay.
Autonomic dysfunction, baroreflex impairment and an inadequate microvascular perfusion may
play a relevant role in triggering AF and AKI.
The perioperative characterization of the autonomic nervous system (ANS) and of the
microcirculation might improve risk stratification and help in the prevention and early
treatment of AF and AKI in CABG surgery.
The study aims are: i) to collect a number of perioperative indices describing the state of
the ANS and of the microcirculation; ii) to assess the correlation among the different
indices and their association with AF and AKI; iii) to develop a predictive model of
postoperative outcomes (AF and AKI) accounting for perioperative autonomic indices and
microcirculatory variables.
Population: 200 adults subjects scheduled for CABG surgery, with or without additional
intervention Methods: perioperative (in the operating room) acquisition of ECG, arterial
blood pressure, cerebral blood flow velocity as derived from transcranial doppler technique,
microcirculation parameters as derived from sidestream dark field images Statistics:
receiver operating characteristic (ROC) curve analysis with adequate cut-off values
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