Abstract

Purpose of this prospective, double-blind, parallel-group, placebo-controlled, randomised clinical trial was to confirm our hypothesis that ramelteon has a preventive effect on emergence agitation after general anaesthesia in children. Patients aged 18 to 119 months (ASA physical status 1 or 2), scheduled to undergo tonsillectomy under general anaesthesia, were randomly allocated to the ramelteon or placebo group. Before general anaesthesia induction, patients in the ramelteon group received 0.1 mg kg−1 of ramelteon dissolved in 5 mL of lactose-containing syrup. The patients in the placebo group received the same amount of syrup alone. The Paediatric Anaesthesia Emergence Delirium score was calculated every 5 min after awakening. The primary outcome was the incidence of emergence agitation (Paediatric Anaesthesia Emergence Delirium score ≥ 10). Paediatric Anaesthesia Emergence Delirium scores, post-operative vomiting incidence, pain scores, and adverse events were secondary outcomes. Fifty patients were enrolled. Forty-eight patients were analysed. There was no significant between-group difference in the incidence of emergence agitation (67% in both groups; risk ratio, 1.0; 95% CI 0.67–1.49; P > 0.99) or any of the secondary outcomes. Our results suggest that 0.1 mg kg−1 of ramelteon does not have a preventive effect on emergence agitation after general anaesthesia in children undergoing tonsillectomy.

Details

Title
Preventive effect of ramelteon on emergence agitation after general anaesthesia in paediatric patients undergoing tonsillectomy: a randomised, placebo-controlled clinical trial
Author
Komazaki Maya 1 ; Mihara Takahiro 2 ; Nakamura, Nobuhito 1 ; Koui, Ka 1 ; Goto Takahisa 3 

 Kanagawa Children’s Medical Center, Department of Anesthesiology, Yokohama, Japan (GRID:grid.414947.b) (ISNI:0000 0004 0377 7528) 
 Yokohama City University Graduate School of Medicine, Department of Anesthesiology and Critical Care Medicine, Yokohama, Japan (GRID:grid.268441.d) (ISNI:0000 0001 1033 6139); Yokohama City University Graduate School of Data Science, Department of Health Data Science, Yokohama, Japan (GRID:grid.268441.d) (ISNI:0000 0001 1033 6139) 
 Yokohama City University Graduate School of Medicine, Department of Anesthesiology and Critical Care Medicine, Yokohama, Japan (GRID:grid.268441.d) (ISNI:0000 0001 1033 6139) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473192320
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.