Journal of Clinical Medicine (Oct 2023)

Anesthesia Management via an Automated Control System for Propofol, Remifentanil, and Rocuronium Compared to Management by Anesthesiologists: An Investigator-Initiated Study

  • Osamu Nagata,
  • Yuka Matsuki,
  • Shuko Matsuda,
  • Keita Hazama,
  • Saiko Fukunaga,
  • Hideki Nakatsuka,
  • Fumiyo Yasuma,
  • Yasuhiro Maehara,
  • Shoko Fujioka,
  • Karin Tajima,
  • Ichiro Kondo,
  • Itaru Ginoza,
  • Misuzu Hayashi,
  • Manabu Kakinohana,
  • Kenji Shigemi

DOI
https://doi.org/10.3390/jcm12206611
Journal volume & issue
Vol. 12, no. 20
p. 6611

Abstract

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Background: We previously developed an automated total intravenous anesthesia control system that uses new closed-loop system algorithms to administer propofol, remifentanil, and rocuronium based on the bispectral index and train-of-four data. We recently improved this automated control system by adding a safety mechanism and using a modified monitoring device. Methods: Patients scheduled for elective surgery were randomly assigned to closed-loop feedback control (automatic group) or the manual administration of propofol, remifentanil, and rocuronium (manual group). The proportion of time during which the proper management of three-agent anesthesia was maintained during surgery was determined as the primary endpoint. Results: The proportion of time during which the three components of sedation, analgesia, and muscle relaxation were adequately controlled was 87.21 ± 12.79% in the automatic group, which was non-inferior to the proportion of 65.19 ± 20.16% in the manual group (p p = 0.027). Conclusion: Our three-agent automated control system, which features an improved muscle relaxation monitor and safety mechanism added to the basic control algorithms, maintained sedation, analgesia, and muscle relaxation appropriately in a manner non-inferior to anesthesiologists without compromising safety.

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