Why the study?
Postoperative outcomes may improve with hemodynamic monitoring, yet monitoring practices vary widely and most clinicians believe current management could be improved.
Does a perioperative hemodynamic therapy algorithm improve postoperative outcomes in high-risk patients undergoing major abdominal surgery?
Does a perioperative hemodynamic therapy algorithm improve postoperative outcomes in high-risk patients undergoing major abdominal surgery?
An individualized perioperative hemodynamic therapy algorithm using dynamic and metabolic parameters is recommended to improve outcomes in high-risk patients undergoing major abdominal surgery.
Survey data reveal underuse of cardiac output monitoring despite clinician confidence; leaves open whether targeted education narrows the evidence-practice gap.
Background : Several trials suggest that postoperative outcomes may be improved by the use of hemodynamic monitoring, but a survey by the American Society of Anesthesiologists (ASA) and the European Society of Anaesthesiology (ESA) showed that cardiac output is monitored by only 34% of ASA and ESA respondents and central venous pressure is monitored by 73% of ASA respondents and 84% of ESA respondents. Moreover, 86.5% of ASA respondents and 98.1% of ESA respondents believe that their current hemodynamic management could be improved (1). The interaction of general anesthesia and surgical stress is the main problem and the leading cause for postoperative morbidity and mortality. The choice of a suitable hemodynamic monitoring system for patients at high anesthesiological risk is of crucial importance to reduce the incidence of major postoperative complications. The aim of the present review is to summarize the benefits of a defined path beginning before surgery, and discuss the available evidence supporting the efficacy and safety of an individualized hemodynamic approach for major abdominal surgery. Objective : To evaluate the clinical effectiveness of a perioperative hemodynamic therapy algorithm in high risk patients
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Russo et al. (2021) studied this question.
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