Evaluation of the Analgesia Nociception Index and videopupillometry to predict post-tonsillectomy morphine requirements in children

Analgesia Nociception Index FLACC scale analgesia paediatric anaesthesia tonsillectomy videopupillometry

Journal

BJA open
ISSN: 2772-6096
Titre abrégé: BJA Open
Pays: England
ID NLM: 9918419157906676

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 09 05 2022
revised: 17 06 2022
accepted: 20 06 2022
medline: 17 8 2023
pubmed: 17 8 2023
entrez: 17 8 2023
Statut: epublish

Résumé

Tonsil surgery causes significant and challenging postoperative pain. The Analgesia Nociception Index (ANI) and videopupillometry are two techniques of interest to monitor nociception in adults and may predict postoperative morphine requirements. We hypothesised that these techniques could predict the need for morphine after tonsillectomy in children. The main objective was to assess the prognostic significance of ANI and videopupillometry, measured at the end of surgery, on morphine consumption determined by a Face, Legs, Activity, Cry, Consolability (FLACC) scale score >3 in the Post Anesthesia Care Unit (PACU). A single-centre, prospective, interventional study evaluating children between 2 and 7 yr old undergoing tonsil surgery was performed. ANI and videopupillometry with tetanic stimulation were measured under general anaesthesia 4 min after the end of the surgical procedure. Each child was evaluated every 10 min by a nurse using the FLACC scale in the PACU and blinded to the measurements performed in the operating theatre. Eighty-nine children were analysed and 39 (44%) received morphine in the PACU. Neither ANI values nor videopupillometry values were predictive of postoperative morphine consumption (areas under the receiver operating characteristic curve 0.54, 95% confidence interval [CI; 0.42-0.65], and Neither ANI nor videopupillometry performed at the end of surgery can predict morphine consumption in the PACU in children undergoing tonsillectomy.

Sections du résumé

Background UNASSIGNED
Tonsil surgery causes significant and challenging postoperative pain. The Analgesia Nociception Index (ANI) and videopupillometry are two techniques of interest to monitor nociception in adults and may predict postoperative morphine requirements. We hypothesised that these techniques could predict the need for morphine after tonsillectomy in children. The main objective was to assess the prognostic significance of ANI and videopupillometry, measured at the end of surgery, on morphine consumption determined by a Face, Legs, Activity, Cry, Consolability (FLACC) scale score >3 in the Post Anesthesia Care Unit (PACU).
Methods UNASSIGNED
A single-centre, prospective, interventional study evaluating children between 2 and 7 yr old undergoing tonsil surgery was performed. ANI and videopupillometry with tetanic stimulation were measured under general anaesthesia 4 min after the end of the surgical procedure. Each child was evaluated every 10 min by a nurse using the FLACC scale in the PACU and blinded to the measurements performed in the operating theatre.
Results UNASSIGNED
Eighty-nine children were analysed and 39 (44%) received morphine in the PACU. Neither ANI values nor videopupillometry values were predictive of postoperative morphine consumption (areas under the receiver operating characteristic curve 0.54, 95% confidence interval [CI; 0.42-0.65], and
Conclusions UNASSIGNED
Neither ANI nor videopupillometry performed at the end of surgery can predict morphine consumption in the PACU in children undergoing tonsillectomy.

Identifiants

pubmed: 37588574
doi: 10.1016/j.bjao.2022.100024
pii: S2772-6096(22)00023-5
pmc: PMC10430817
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100024

Informations de copyright

© 2022 The Author(s).

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Auteurs

Bruno Evrard (B)

Medical-surgical ICU, Dupuytren Teaching Hospital, Limoges, France.
Inserm CIC, 1435, Dupuytren Teaching Hospital, Limoges, France.
Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Cyrielle Lefebvre (C)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Paul Spiry (P)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Charles Hodler (C)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Catherine Chapellas (C)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Baher Youssef (B)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

François Gauthier (F)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Loïc Marais (L)

Research and Innovation Department, Dupuytren Teaching Hospital, Limoges, France.

Anaïs Labrunie (A)

Department of Epidemiology, Biostatistics and Research Methodology, Dupuytren Teaching Hospital, Limoges, France.

Marie Douchez (M)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Patrick Senges (P)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Jérôme Cros (J)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.

Nathalie Nathan-Denizot (N)

Department of Anaesthesiology and Intensive Care, Dupuytren Teaching Hospital, Limoges, France.
Medicine Faculty, University of Limoges, Limoges, France.

Classifications MeSH