Relationships between the qNOX, qCON, burst suppression ratio, and muscle activity index of the CONOX monitor during total intravenous anesthesia: a pilot study.

Anaesthesia, General Anaesthesiology Electroencephalography Patient monitoring Propofol

Journal

Journal of clinical monitoring and computing
ISSN: 1573-2614
Titre abrégé: J Clin Monit Comput
Pays: Netherlands
ID NLM: 9806357

Informations de publication

Date de publication:
12 Sep 2024
Historique:
received: 02 08 2024
accepted: 26 08 2024
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 12 9 2024
Statut: aheadofprint

Résumé

Processed electroencephalographic (EEG) indices can help to navigate general anesthesia. The CONOX (Fresenius Kabi) calculates two indices, the qCON (hypnotic level) and the qNOX (nociception). The CONOX also calculates indices for electromyographic (EMG) activity and EEG burst suppression (BSR). Because all EEG parameters seem to influence each other, our goal was a detailed description of parameter relationships. We used qCON, qNOX, EMG, and BSR information from 14 patients receiving propofol anesthesia. We described index relationships with linear models, heat maps, and box plot representations. We also evaluated associations between qCON/qNOX and propofol/remifentanil effect site concentrations (ceP/ceR). qNOX and qCON (qCON = 0.79*qNOX + 5.8; p < 0.001; R We could describe relationships between qCON, qNOX, EMG, BSR, ceP, and ceR, which may help the anaesthesiologist better interpret the information provided. One major finding is the dependence of qCON > 80 on EMG activity. This may limit the possibility of detecting wakefulness in the absence of EMG. Further, qNOX seems generally higher than qCON, but high opioid doses may lead to higher qCON than qNOX indices.

Sections du résumé

BACKGROUND BACKGROUND
Processed electroencephalographic (EEG) indices can help to navigate general anesthesia. The CONOX (Fresenius Kabi) calculates two indices, the qCON (hypnotic level) and the qNOX (nociception). The CONOX also calculates indices for electromyographic (EMG) activity and EEG burst suppression (BSR). Because all EEG parameters seem to influence each other, our goal was a detailed description of parameter relationships.
METHODS METHODS
We used qCON, qNOX, EMG, and BSR information from 14 patients receiving propofol anesthesia. We described index relationships with linear models, heat maps, and box plot representations. We also evaluated associations between qCON/qNOX and propofol/remifentanil effect site concentrations (ceP/ceR).
RESULTS RESULTS
qNOX and qCON (qCON = 0.79*qNOX + 5.8; p < 0.001; R
CONCLUSION CONCLUSIONS
We could describe relationships between qCON, qNOX, EMG, BSR, ceP, and ceR, which may help the anaesthesiologist better interpret the information provided. One major finding is the dependence of qCON > 80 on EMG activity. This may limit the possibility of detecting wakefulness in the absence of EMG. Further, qNOX seems generally higher than qCON, but high opioid doses may lead to higher qCON than qNOX indices.

Identifiants

pubmed: 39266928
doi: 10.1007/s10877-024-01214-6
pii: 10.1007/s10877-024-01214-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

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Auteurs

Federico Linassi (F)

Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova, Italy.
Department of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Munich, Germany.

Sergio Vide (S)

Department of Anesthesiology, Unidade Local de Saúde de São João, Porto, Portugal.
Systems Pharmacology Effect Control & Modeling (SPEC-M) Research Group, Anesthesiology Department, Hospital CLINIC de Barcelona, Barcelona, Spain.
RISE-Health, Medical Faculty of University of Porto, Porto, Portugal.

Ana Ferreira (A)

Faculdade de Engenharia, LAETA/INEGI, Universidade do Porto, Porto, Portugal.

Gerhard Schneider (G)

Department of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Munich, Germany.

Pedro Gambús (P)

Systems Pharmacology Effect Control & Modeling (SPEC-M) Research Group, Anesthesiology Department, Hospital CLINIC de Barcelona, Barcelona, Spain.
NeuroImmunology Research Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.

Matthias Kreuzer (M)

Department of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Munich, Germany. m.kreuzer@tum.de.

Classifications MeSH