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High frequency variability index in predicting postoperative pain in video/robotic-assisted thoracoscopic surgery under combined general anesthesia and peripheral nerve block: an observational study.

Authors :
Yoshida, Keisuke
Hasegawa, Takayuki
Hakozaki, Takahiro
Yakushiji, Tatsumi
Iseki, Yuzo
Itakura, Yuya
Obara, Shinju
Inoue, Satoki
Source :
Journal of Clinical Monitoring & Computing; Feb2025, Vol. 39 Issue 1, p35-43, 9p
Publication Year :
2025

Abstract

The high frequency variability index (HFVI)/analgesia nociception index (ANI) is purported to assess the balance between nociception and analgesia in patients under general anesthesia. This observational study investigated whether intraoperative HFVI/ANI correlates with postoperative pain in patients performed with nerve block under general anesthesia in video/robotic-assisted thoracoscopic surgery (VATS/RATS). We investigated whether maximum postoperative pain at rest and postoperative morphine consumption are associated with HFVI/ANI just before extubation, mean HFVI/ANI during anesthesia, the difference in HFVI/ANI between before and 5 min after the start of surgery, and the difference in HFVI/ANI between before and 5 min after the nerve block. Data obtained from 48 patients were analyzed. We found no significant association between HFVI/ANI just before extubation and postoperative Numerical Rating Scale (NRS) score. Receiver operating characteristic curve analysis revealed that moderate (NRS > 3) or severe (NRS > 7) postoperative pain could not be predicted by HFVI/ANI just before extubation. In addition, there were no associations between postoperative morphine consumption and HFVI/ANI at any time points. The present study demonstrated that it is difficult to predict the degree of postoperative pain in patients undergoing VATS/RATS under general anesthesia combined with peripheral nerve block, by using HFVI/ANI obtained at multiple time points during general anesthesia. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13871307
Volume :
39
Issue :
1
Database :
Complementary Index
Journal :
Journal of Clinical Monitoring & Computing
Publication Type :
Academic Journal
Accession number :
182974659
Full Text :
https://doi.org/10.1007/s10877-024-01205-7