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

anesthesia automated control system closed-loop control propofol remifentanil rocuronium

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
19 Oct 2023
Historique:
received: 10 09 2023
revised: 09 10 2023
accepted: 16 10 2023
medline: 28 10 2023
pubmed: 28 10 2023
entrez: 28 10 2023
Statut: epublish

Résumé

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. 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. 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 ( 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.

Sections du résumé

BACKGROUND 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 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 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 (
CONCLUSION CONCLUSIONS
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.

Identifiants

pubmed: 37892749
pii: jcm12206611
doi: 10.3390/jcm12206611
pmc: PMC10607889
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : the Japan Agency for Medical Research and Development (AMED)
ID : JP22hk0102081

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Auteurs

Osamu Nagata (O)

Department of Anesthesiology and Reanimatology, University of Fukui, Fukui 910-1193, Japan.

Yuka Matsuki (Y)

Department of Anesthesiology and Reanimatology, University of Fukui, Fukui 910-1193, Japan.

Shuko Matsuda (S)

Department of Anesthesiology and Reanimatology, University of Fukui, Fukui 910-1193, Japan.

Keita Hazama (K)

Department of Anesthesiology and Intensive Care Medicine, Hiroshima City Hiroshima Citizens Hospital, Hiroshima 730-8518, Japan.

Saiko Fukunaga (S)

Department of Anesthesiology and Intensive Care Medicine, Kawasaki Medical School, Kurashiki 701-0192, Japan.

Hideki Nakatsuka (H)

Department of Anesthesiology and Intensive Care Medicine, Kawasaki Medical School, Kurashiki 701-0192, Japan.

Fumiyo Yasuma (F)

Department of Anesthesiology, Center Hospital of the National Center for Global Health and Medicine, Tokyo 162-8655, Japan.

Yasuhiro Maehara (Y)

Department of Anesthesiology, Center Hospital of the National Center for Global Health and Medicine, Tokyo 162-8655, Japan.

Shoko Fujioka (S)

Departments of Anesthesiology, The Jikei University School of Medicine, Tokyo 105-8461, Japan.

Karin Tajima (K)

Departments of Anesthesiology, The Jikei University School of Medicine, Tokyo 105-8461, Japan.

Ichiro Kondo (I)

Departments of Anesthesiology, The Jikei University School of Medicine, Tokyo 105-8461, Japan.

Itaru Ginoza (I)

Department of Anesthesiology, University of the Ryukyu, Okinawa 903-0213, Japan.

Misuzu Hayashi (M)

Department of Anesthesiology, University of the Ryukyu, Okinawa 903-0213, Japan.

Manabu Kakinohana (M)

Department of Anesthesiology, University of the Ryukyu, Okinawa 903-0213, Japan.

Kenji Shigemi (K)

Department of Anesthesiology and Reanimatology, University of Fukui, Fukui 910-1193, Japan.

Classifications MeSH