Comparison of Automated Control Anesthesia and Manual Control Anesthesia in Minimal Flow Anesthesia

NCT ID: NCT05554263

Last Updated: 2023-08-25

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 80 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2022-09-01
• Study Completion Date: 2023-05-01

Brief Summary

With the introduction of technology into our lives, we come across two different anesthesia management modules in anesthesia machines. The first of these is the traditional method, the manual controlled anesthesia technique; the other is the automatic controlled anesthesia technique. In our daily practice, both anesthesia techniques can be used in patients who have undergone general anesthesia. These two techniques can be used in both high-flow anesthesia and low-flow anesthesia applications.

Detailed Description

In the manual technique, the inspired and exhaled gas concentrations are regulated by the anesthetists manually by the fresh gas flow during general anaesthesia. When administered manually, low-flow anesthesia requires the attention and time of the anesthesiologist, especially the difference between the gas concentrations set in the anesthesia machine and the respiratory system, and the delay between changes in fresh gas concentrations and the end tidal fraction (EtAA) of the anesthetic agent. The most important risks of manually controlled low-flow anesthesia are hypoxia and awareness that may occur due to low doses of inhaler anesthetic agents.

In the automatic controlled anesthesia technique, it is a method in which the values desired by the anesthetists during general anesthesia are determined at the beginning of anesthesia and automatically adjusted by the anesthesia device without any additional intervention. After intubation, anesthetists set 3 parameters on the anesthesia device: inspiratory or expiratory oxygen fraction (FiO2- End tidal O2 concentration), anesthetic agent concentration (MAC or End-tidal Anesthetic agent concentration) and fresh gas flow amount. With this method, it is aimed to provide safer and more stable anesthesia. In addition, it has been stated in many previous studies that automatic control anesthesia technique reduces anesthetic gas consumption and less anesthesiologist intervention is needed to reach target values.

In our study, we aimed to compare the safety, efficiency and cost aspects of automatic controlled anesthesia and manual control methods in achieving intraoperative target anesthetic and oxygen concentrations. We hypothesized that anesthesia applied with the end-tidal control method would have a lower cost, less workload, and similar anesthetic depth with the manual control method.

Conditions

Anesthesia; Sevoflurane; Monitoring

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Between 18-75 year-old
• ASA 1-3
• Will undergo gynecological operation
• Expected surgery time (>1 hour)

Exclusion Criteria

• ❖ BMI >30

• Chronic opioid use
• Contraindication to any of the anesthetic agents to be used
• Neurological disorders
• Surgery lasting <1 hour

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 75 Years
• Eligible Sex: FEMALE
• Accepts Healthy Volunteers: No

Sponsors

Sakarya University

OTHER

Sponsor Role: lead

Responsible Party

Rezan Şerefoğlu

Research assistant

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Rezan Şerefoğlu

Role: PRINCIPAL_INVESTIGATOR

Sakarya University Research And Training hospital

Locations

Sakarya University Medicine Faculty Department of Anaesthesiaology and Reanimation

Sakarya, , Turkey (Türkiye)

Sakarya University Research and Training hospital

Sakarya, , Turkey (Türkiye)

Countries

Turkey (Türkiye)

References

Tay S, Weinberg L, Peyton P, Story D, Briedis J. Financial and environmental costs of manual versus automated control of end-tidal gas concentrations. Anaesth Intensive Care. 2013 Jan;41(1):95-101. doi: 10.1177/0310057X1304100116.

Reference Type: RESULT

PMID: 23362897 (View on PubMed)

Singaravelu S, Barclay P. Automated control of end-tidal inhalation anaesthetic concentration using the GE Aisys Carestation. Br J Anaesth. 2013 Apr;110(4):561-6. doi: 10.1093/bja/aes464. Epub 2013 Jan 4.

Reference Type: RESULT

PMID: 23293274 (View on PubMed)

Other Identifiers

Autocontrolled Anesthesia

Identifier Type: -

Identifier Source: org_study_id