[Comparative analysis of the consistency of anesthesia depth between anesthesia index and Narcotrend index in monitoring pediatric tonsillectomy/adenoidectomy surgery].

ABSTRACT

Objective: To analyze the consistency of the anesthesia index (AI) and Narcotrend index (NI) in monitoring the depth of anesthesia in pediatric tonsil/adenoidectomy. Methods: A total of 129 children who underwent elective tonsil/adenoidectomy at Xijing Hospital Affiliated to Air Force Medical University from July 2022 to October 2023 were prospectively enrolled. Both AI monitoring by ConView monitor and NI monitoring by Narcotrend monitor were conducted for children after they were admitted to the operating room, while Propofol-remifentanil combined with total intravenous anesthesia was used during the operation and the anesthetic dose was adjusted to maintain the NI value at 40-60. In addition, the AI and NI values were recorded at following time points quiet eyes closing (T1), the beginning of induction (T2), loss of consciousness (T3), tracheal intubation (T4), the beginning of surgery (T5), during tonsil excision (T6), adenoidectomy (T7), the end of surgery (T8), consciousness recovery (T9) and tracheal extubation (T10). Bland-Altman consistency analysis was used to evaluate the consistency of the results of the two types of anesthesia depth monitoring, AI value and NI value. Receiver operator characteristic (ROC) curve and area under curve (AUC) were used to analyze the predictive efficacy of AI and NI values for the state of consciousness of children. The intraoperative awareness was followed up at 24 hours, 1 week and 1 month after surgery. Results: In 129 cases, there were 78 boys and 51 girls, with an average age of (7.2±3.2) years and an operation time of (72.8±14.0) min. No AI data were missing, but 13 NI data were missing, with a missing rate of 10.1% (13/129). At time points T1-T10, the AI values were 67.5±19.2 and the NI values were 67.2±19.2. Bland-Altman consistency analysis showed that the difference in value between AI and NI was 0.3 (95%CI-0.1-0.6, P=0.120), with an out-of-consistency range of 4.0% (51/1 290). Before anesthesia induction, AI and NI values were maintained at a high level; with the beginning of anesthesia induction and the disappearance of the children's consciousness, both AI and NI values gradually decreased; after discontinuing the infusion of anesthetics, the values of AI and NI gradually increased, and the change trend of AI and NI in each stage of the perioperative period was consistent, and there was no significant difference between the two groups at each time point (all P>0.05). ROC curve analysis showed that the cut-off value for predicting the state of consciousness using AI was 72.5, with an AUC of 0.73 (95%CI 0.70-0.75), and the cut-off value of NI was 79.5 and the AUC was 0.74 (95%CI 0.72-0.77). There was no significant difference in AUC between the two indices (P=0.310). None of the children had intraoperative awareness. Conclusion: Both AI and NI can be used to monitor the depth of anesthesia in pediatric tonsil/adenoidectomy with high accuracy.