Manual vs Automated Optimization of Anesthesia, Analgesia, Fluid Management and Ventilation Using Closed-loop Systems: Impact On The Incidence Of POCD In Elderly Patients Undergoing Moderate to High Risk Surgery

Brief Summary

Detailed Description

Elderly patients comprise more than 40% of all surgical patients in the USA per year and generate an even larger proportion of total healthcare costs with a sizable amount occurring during the postoperative period 1.. Therefore, reducing postoperative morbidity and mortality is a major concern in clinical practice and medical research moving forward. Cognitive dysfunction and dependence on caregivers represents two major risk factors in the elderly, especially following general anesthesia. The current literature indicates that POCD results in a mortality rate of 10% at 6 months for patients at least 70 years old and causes loss of functional capacity in an additional 20%. Overall, this results in an approximately 1 of 3 patients experiencing a negative cognitive impact following general anesthesia without optimization of anesthetic depth. In this context, continuous monitoring of the depth of anesthesia using a bispectral index (BIS) sensor may reduce the occurrence of postoperative impairments by via improved control of the anesthetic depth, especially over-sedation. Despite steady improvements in surgical safety throughout recent years, the application of perioperative therapies still has the potential to be improved, especially regarding compliance to evidence-based recommendations.2, 3 Specifically, simply being surrounded by established monitors does not ensure that proper therapies are delivered most effectively or consistently to all patients - there must also be appropriate and timely interventions. Concordantly, large variations in patient care still exist and have been correlated with large variations in patient outcomes.4 Looking at the safety record that automation has achieved in fields ranging from manufacturing to commercial flight, medical researchers have developed devices utilizing self-contained feedback technologies (CLS) in an attempt to decrease the variability in treatment delivery with the ultimate goal of improving patient care. This development has flourished within anesthesiology, mainly via physiological closed-loop controlled devices. These systems are able to automatically adjust a therapeutic intervention based on continuous feedback from various physiological sensors.5 The best described systems have been closed-loop delivery of anesthetics, analgesics,6-11 volatile agents, insulin, and most recently, fluids 5, 12-14 and vasopressors.15-17 Overall, these systems have been shown to improve the consistency of intervention when compared to manual administration.10, 18, 19 Additionally, computer-assistance for clinical care will allow anesthesia providers to increase their accuracy and consistency, improve their awareness, and allow them to instead focus on more complex tasks. Over the past years, members of our group have developed a dual closed-loop controller allowing the automated titration of propofol and remifentanil guided by the bispectral index (BIS).11, 20-22 The investigators also have created an adaptative closed-loop system for fluid titration using goal directed fluid therapy (GDFT) strategies guided by a minimally invasive cardiac output monitor.5 The investigator has previously demonstrated the superiority of a controller versus human-guided anesthesia in maintaining a target of BIS between 40 and 60 while limiting the incidence of overly deep anesthesia, which is often associated with the occurrence of a cognitive dysfunction in the elderly 23 Very recently, the principal investigator submitted research evaluating the simultaneous use of 2 closed-loop system (anesthesia, analgesia and fluid management) in a pilot study of high risk vascular patients. Objectives: The main objective of this prospective randomized single-blinded controlled study is to compare manual versus automated administration of anesthesia, analgesia, fluid and ventilation with regard to the incidence of postoperative cognitive dysfunction (POCD) in elderly patients undergoing high risk surgery. POCD will be assessed by a psychiatrist and/or a psychologist preoperatively, on postoperative day 3-10 (depending on the type of surgery) and at 3-months postoperatively. Additionally, quality of life and quality of recovery will also be self-assessed before surgery, before hospital discharge and at 3 month post-surgery.

Primary Outcomes

Secondary Outcomes

• Assessment of the Quality of life EQ-5D-5L(3 months)
• Amount of i.v drugs used ( propofol, remifentanil, vasopressors)(first 24 hours)
• Amount of total fluid infused to the patient(first 24 hours)
• mean arterial pressure (MAP) during surgery(first 24 hours)
• Comparison of performance of the automated system vs the manual group(first 24 hours)
• Assessment of Quality of recovery (QoR)(first month)
• Mean BIS values and Burst suppression ratio (BSR) incidence defined as a period of isoelectric cortical signal with a treshold at 10% for > 1 minutes.(first 24 hours)
• Mean : mean stroke volume, stroke volume variation and cardiac output and cardiac index(first 24 hours)
• Mortality at day 30(30 days)
• Assesment of the incidence of POCD using different others tests:(day 10 after surgery)
• Long term incidence of POCD(month 3 post surgery)
• Incidence of postoperative complications (major and minor)(From date of surgery until day 30 after surgery)
• Length of stay in the hospital ((From date of surgery until the date of hopital discharge or date of death from any cause assessed up to 100 weeks after surgery)
• Length of stay in the intensive care unit (ICU) and/or postanesthesia care unit (PACU)(From date of surgery until the date of Postanesthesia or intensive care setting discharge or date of death from any cause assessed up to 100 weeks after surgery)
• Mortality at month 3(3 months)
• Occurrence of arterial hypotension (mean arterial pressure (MAP) < 65 mmHg)(first 24 hours)
• Occurrence of awarness(first 24 hours)