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Enregistrement W3122332337 · doi:10.1111/anae.15400

The use of intravenous lidocaine for postoperative pain and recovery

2021· article· en· W3122332337 sur OpenAlexaboutno aff
Julia Dubowitz, Andrew J. Toner, Bernhard Riedel, Tomás Corcoran

Notice bibliographique

RevueAnaesthesia · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAnesthesia and Pain Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineLidocaineAnesthesiaIntravenous regional anesthesiaPain managementPostoperative painSurgery

Résumé

récupéré en direct d'OpenAlex

As clinicians and research leads for two relevant studies, we read with interest the recently published recommendations on the use of intravenous lidocaine for postoperative pain and recovery [1] and the accompanying editorial [2]. While we agree wholeheartedly with the axiom ‘primum non nocere’ and that intravenous lidocaine must be administered in a safe and controlled manner in the peri-operative setting, we wish to address some concerns regarding the methodology employed in the development of the document and the potential impact on clinical practice and research. Firstly, the recommendations are labelled as ‘international consensus guidelines’. ‘Consensus’ suggests general agreement with the content of the guidelines; however, this document was written by a panel of seven members from the UK and a single Canadian co-author. This does not constitute 'consensus' and is far from 'international consensus’ [3]. The WHO guidelines state that potential members of a guideline development group are identified by the steering group and are selected to encompass the technical skills, diverse perspectives and geographic representation needed. A group of 10–20 is usually feasible and effective, although some guideline development groups are larger if the scope of the guideline is broad. Furthermore, recommendations on the development of consensus statements include formal and transparent methodology for derivation of guidelines, and peer review [4]. The document does not provide details of the processes employed in the formation of the panel, nor explicit detail as to the methodology used to generate the recommendations in the document, nor evidence of peer review as part of the process. To avoid confusion and, perhaps misleadingly, deterring anaesthetists from using intravenous lidocaine in appropriate and safe settings, these recommendations would be better reclassified as an opinion piece or systematic review. While we understand and respect the editorial independence of the journal, we believe that the journal may have erred in permitting the use of this over-reaching title. This gives the reader the impression of authority of the content of the article, which we believe not to be the case. Secondly, the document highlights the enduring uncertainty surrounding the dosing strategy of peri-operative intravenous lidocaine and the balance of efficacy and safety in diverse clinical settings. Surely this can now only be addressed by the conduct of large, reliable, multi-centre randomised controlled trials, yet the message of this 'consensus' document may deter investigators from performing such trials. We are aware of four large clinical trials, each recruiting over 500 patients, that are either underway or imminent (Table 1). The dosing strategies in these trials take into account patient weight, the impact of anaesthesia on hepatic blood flow, variations in protein binding, exposure to interacting medications and non-linear pharmacokinetics associated with prolonged infusion [5]. By contrast, and in our opinion, the 'consensus' statement places too much emphasis on absolute upper dose limits for the bolus and infusion phases irrespective of the clinical circumstances. Indeed, data from studies summarised by the authors of these consensus guidelines in their Table 1 and Figure 1 suggest little difference between reported mean lidocaine plasma levels during infusion rates between 1.5 and 3.0 mg.kg-1.h-1, with < 5 μg.ml-1 (and upper range 3SD [95%CI] < 10 μg.ml-1) in all but one patient [6]. Lastly, an important omission from the document is whether lidocaine infusions are being used exclusively in the operating theatre environment or are being continued into the postoperative period. When used intra-operatively, the attending anaesthetist takes responsibility for the safety of the patient during a lidocaine infusion, as they do for all other drugs administered, and the risks of serious adverse events are mitigated by a high level of clinician monitoring and responsiveness. It is appropriate that the 'consensus' statement and the linked editorial have highlighted that individual anaesthetists using lidocaine off-license in this fashion without specific consent are fully accountable, and it is likely that many will continue to do so. In conclusion, lidocaine is a drug with properties (anti-inflammatory, analgesic, anti-neoplastic) that warrant further phase-3 trials. Such studies are underway, or imminent, and will provide reliable information on the safety and efficacy of lidocaine infusions in patients undergoing colorectal, lung and breast cancer surgery. If these studies report efficacy with acceptable safety, then it is possible that the licensed indications for intravenous lidocaine will expand. We do not believe that the document warrants the label ‘consensus statement’ and we do not believe that all the assertions within the document are supported by evidence. The impact of such erroneous assertions may adversely impact much needed clinical trials. Safety is, of course, paramount and this initiative by the authors to raise awareness of the risks of lidocaine infusions is laudable.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,922
Score d'incertitude au seuil0,216

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,029
Tête enseignante GPT0,250
Écart entre enseignants0,221 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2021
Routes d'admission1
Résumé présentoui

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