A Practical Dosing Algorithm for Deep Neuromuscular Blockade During Total Intravenous Anesthesia: ROCURITHM.


Journal

Anesthesiology
ISSN: 1528-1175
Titre abrégé: Anesthesiology
Pays: United States
ID NLM: 1300217

Informations de publication

Date de publication:
10 May 2024
Historique:
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 10 5 2024
Statut: aheadofprint

Résumé

The number of trials investigating the effects of deep neuromuscular blockade (NMB) on surgical conditions and patient outcomes is steadily increasing. Consensus on which surgical procedures benefit from deep NMB (a post tetanic count of 1-2) and how to implement it has not been reached. The ESAIC does not advise routine application but recommends use of deep NMB to improve surgical conditions on indication. This study investigates the optimal dosing strategy to reach and maintain adequate deep NMB during total intravenous anesthesia. Data from three trials investigating deep NMB during laparoscopic surgery with TIVA (n=424) was pooled to analyze the required rocuronium dose, when to start continuous infusion and how to adjust. The resulting algorithm was validated (n=32) and compared to the success rate in ongoing studies where the algorithm was not used (n=180). The mean rocuronium dose based on actual bodyweight for PTC 1-2 was 1.0 ± 0.27 mg.kg -1.h -1 in the trials where mean duration of surgery was ±2 hours (116 minutes). An induction dose of 0.6 mg.kg -1 lead to a PTC of 1-5 in a quarter of patients after a mean of 11 minutes. The remaining patients were equally divided over too shallow (additional bolus and direct start of continuous infusion) or too deep; a ±15-minute wait after PTC 0 for return of PTC to ≥1. Using the proposed algorithm, a mean 76% of all 5-minute measurements throughout surgery were on target PTC 1-2 in the validation cohort. The algorithm performed significantly better than anesthesiology residents without the algorithm, even after a learning curve from 0-20 patients (42% on target, P≤.001, Cohen's d=1.4 [95% CI 0.9, 1.8]) to 81-100 patients (61% on target, P≤.05, Cohen's d=0.7 [95% CI 0.1, 1.2]). We propose a dosing algorithm for deep NMB with rocuronium in patients receiving TIVA.

Sections du résumé

BACKGROUND BACKGROUND
The number of trials investigating the effects of deep neuromuscular blockade (NMB) on surgical conditions and patient outcomes is steadily increasing. Consensus on which surgical procedures benefit from deep NMB (a post tetanic count of 1-2) and how to implement it has not been reached. The ESAIC does not advise routine application but recommends use of deep NMB to improve surgical conditions on indication. This study investigates the optimal dosing strategy to reach and maintain adequate deep NMB during total intravenous anesthesia.
METHODS METHODS
Data from three trials investigating deep NMB during laparoscopic surgery with TIVA (n=424) was pooled to analyze the required rocuronium dose, when to start continuous infusion and how to adjust. The resulting algorithm was validated (n=32) and compared to the success rate in ongoing studies where the algorithm was not used (n=180).
RESULTS RESULTS
The mean rocuronium dose based on actual bodyweight for PTC 1-2 was 1.0 ± 0.27 mg.kg -1.h -1 in the trials where mean duration of surgery was ±2 hours (116 minutes). An induction dose of 0.6 mg.kg -1 lead to a PTC of 1-5 in a quarter of patients after a mean of 11 minutes. The remaining patients were equally divided over too shallow (additional bolus and direct start of continuous infusion) or too deep; a ±15-minute wait after PTC 0 for return of PTC to ≥1. Using the proposed algorithm, a mean 76% of all 5-minute measurements throughout surgery were on target PTC 1-2 in the validation cohort. The algorithm performed significantly better than anesthesiology residents without the algorithm, even after a learning curve from 0-20 patients (42% on target, P≤.001, Cohen's d=1.4 [95% CI 0.9, 1.8]) to 81-100 patients (61% on target, P≤.05, Cohen's d=0.7 [95% CI 0.1, 1.2]).
CONCLUSIONS CONCLUSIONS
We propose a dosing algorithm for deep NMB with rocuronium in patients receiving TIVA.

Identifiants

pubmed: 38728093
pii: 141384
doi: 10.1097/ALN.0000000000005050
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Anesthesiologists.

Déclaration de conflit d'intérêts

Conflicts of Interest: Merck Sharp & Dohme was in no way involved in conceptualization, development of the algorithm, writing or any other aspect of this manuscript. The opinions presented here are those of the authors and do not represent the opinion of MSD or any of its partners. In addition, Albert Dahan reports financial relationships with Enalare and Trevena, and grants from FDA and ZonMw.

Auteurs

Kim I Albers-Warlé (KI)

Resident, department of Anesthesiology, Radboudumc, Nijmegen, The Netherlands. Kim.albers@radboudumc.nl; Gabby.reijnders@radboudumc.nl; Veerle.bijkerk@radboudumc.nl.

Gabby T J A Reijnders-Boerboom (GTJA)

Resident, department of Anesthesiology, Radboudumc, Nijmegen, The Netherlands. Kim.albers@radboudumc.nl; Gabby.reijnders@radboudumc.nl; Veerle.bijkerk@radboudumc.nl.

Veerle Bijkerk (V)

Resident, department of Anesthesiology, Radboudumc, Nijmegen, The Netherlands. Kim.albers@radboudumc.nl; Gabby.reijnders@radboudumc.nl; Veerle.bijkerk@radboudumc.nl.

Bart Torensma (B)

Clinical epidemiologist, department of Anesthesiology, Leiden University Medical Centre, Leiden, The Netherlands. bart@torensmaresearch.nl.

Ivo F Panhuizen (IF)

Anesthesiologist, department of Anesthesiology, Canisius Wilhelmina hospital, Nijmegen, The Netherlands. I.panhuizen@cwz.nl; M.snoeck@cwz.nl.

Marc M J Snoeck (MMJ)

Anesthesiologist, department of Anesthesiology, Canisius Wilhelmina hospital, Nijmegen, The Netherlands. I.panhuizen@cwz.nl; M.snoeck@cwz.nl.

Thomas Fuchs-Buder (T)

Professor and anesthesiologist, département d'Anesthésie et de Réanimation, Centre Hospitalier Universitaire Nancy/Brabois, Nancy, France. Buder@me.com.

Christiaan Keijzer (C)

Anesthesiologist, department of Anesthesiology, Radboudumc, Nijmegen, The Netherlands.

Albert Dahan (A)

Professor and anesthesiologist, department of Anesthesiology, Leiden University Medical Centre, Leiden, The Netherlands. A.dahan@lumc.nl.

Michiel C Warlé (MC)

Associate professor and vascular surgeon, department of Surgery, Radboudumc, Nijmegen, The Netherlands. Michiel.warle@radboudumc.nl.

Classifications MeSH