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Enregistrement W2911238236 · doi:10.1097/eja.0000000000000919

Intra-operative difficult airway identification and critical airway communication

2019· letter· en· W2911238236 sur OpenAlexaboutno aff
Jinbin Zhang, Han Chong Toh, Shimin Ong, Maureen Chua, Qingyan Chen, Sharon Lam, Moe Swe

Notice bibliographique

RevueEuropean Journal of Anaesthesiology · 2019
Typeletter
Langueen
DomaineMedicine
ThématiqueAirway Management and Intubation Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAirwayLaryngeal mask airwayAirway managementIntensive care medicineMEDLINEAnesthesia

Résumé

récupéré en direct d'OpenAlex

Editor, It is the anaesthetist's professional duty to report difficult airway events that might have a significant impact on a patient's subsequent anaesthetics. As such, national bodies such as the American Society of Anesthesiologists (ASA), Difficult Airway Society (DAS) and the Canadian Airway Focus Group (CAFG) have issued recommendations on counselling of patients post DA management to allow for planning of future anaesthesia.1–3 However, the perception of a difficult airway can be highly subjective, with anaesthetists having different thresholds for what ‘difficult’ truly means. Addressing this mismatch is important to encourage the widespread reporting and dissemination of critical airway information. Few studies have examined whether anaesthetists tend to record a patient's airway as ‘difficult’ when one or more of the published definitions of difficulty has been encountered, or equally, whether they have communicated this information to the patient postoperatively. We carried out a retrospective review to study how anaesthetists identify an intra-operative difficult airway, as well as compliance with international guidelines on critical airway communication. National Healthcare Group Domain-Specific Review Board exemption was obtained for this study. We reviewed the electronic anaesthetic records of all patients who received a general anaesthetic in our tertiary institution (Tan Tock Seng Hospital, Singapore) from July to December 2014. A standard definition of the difficult airway cannot be identified in the available literature. For this review, we adapted our definitions from the ASA1 and CAFG3 guidelines. We reviewed each anaesthetic record individually by hand for the documented intra-operative airway information. For the study purposes, a case was labelled as a ‘Difficult airway’ if any of the foregoing definitions of difficulty were met. Then, for those cases, we determined whether the attending anaesthetist also subjectively recorded airway management as ‘difficult’, by placing free text comments such as ‘difficult intubation’, ‘difficult airway’ and so on in the anaesthetic record. The latter was recorded as ‘Perceived difficult airway’. For all the patients labelled as having a difficult airway in our review, we searched for documentation of follow-up counselling in the medical record, wherein the patient received information about the difficult airway during a postoperative visit by the anaesthetist, either verbally or by providing a written letter. Our primary outcomes are firstly, the proportion of ‘perceived difficult airway’ out of all difficult airway cases identified in this review and secondly, the incidence of postoperative counselling after difficult airway management in this subset of patients. Secondary outcome measured was incidence of difficult airway in our institution. Data were subjected to statistical analysis with Microsoft Excel spreadsheet and STAT v.13.0 software (Stata Corp. College Station, Texas, USA). Out of 6318 general anaesthetics performed over the review period, 198 cases were identified to have a difficult airway, with an overall incidence of 3.13%. The types of difficulty encountered appear in Table 1. Of the 198 cases of difficult airway, 87 (44%) were also ‘perceived’ as difficult by the anaesthetist, based on the presence of additional free-text recording (Table 2). The remaining 56% of difficult airway cases were identified on the basis of the definitions provided by the international guidelines. Of the 87 ‘Perceived difficult airway’ cases (Table 3), none of the cases with difficult facemask ventilation had documented follow-up after surgery. Verbal information was provided to one case (3.3%) of difficult laryngoscopy, 11 cases (26.8%) of difficult intubation and two cases (66.6%) of failed intubation. A difficult airway letter was given to only three patients (3.4%), one case of difficult laryngoscopy, one difficult intubation and one difficult/failed supraglottic device (SGD) insertion.Table 1: Incidence of difficult airway and specific types of difficulty encounteredTable 2: Proportion of ‘Perceived difficult airway’ by the attending anaesthetistTable 3: Summary of follow-up plan of the 87 cases of ‘perceived difficult airway’Despite the launch of the 2013 ASA and CAFG guidelines,1,3 our study suggested that identifying an intra-operative difficult airway was still very much a subjective decision. Possible reasons include lack of awareness and uncertainty about the guidelines. It is still controversial if difficult laryngoscopy is synonymous with difficult intubation. It is also uncertain if difficult facemask ventilation and difficult/failed SGD insertion should be viewed with the same level of caution as difficult intubation, as reasons for failure are usually multifactorial and may not equate to difficult intubation. Concerns have been raised if lowering our threshold would lead to over reporting of difficult airway, resulting in unnecessary work and stress to the patient. We wish to emphasise the importance in realising that the final goal of airway management is not intubation, but the maintenance of oxygenation and rapid recovery from hypoxaemia.4 As such, we believe that the success of facemask ventilation and SGD insertion are as critical as tracheal intubation in achieving oxygenation in an anaesthetised patient. Difficulty or failure of the above are significant threats that should be recognised and reported accordingly. Dissemination of critical airway information is vital to prevent an unexpected and unprepared airway crisis from happening to the same patient again.1–3 Our study showed poor compliance with these recommendations, possibly due to lack of awareness and resources to provide proper airway communication. A written letter is more effective than verbal communication of the difficult airway.5 With the absence of a workflow guiding postoperative communication, only three cases (3.4%) were given a written letter, while 14 (16%) cases received verbal information about their airway concerns. Recognition of a difficult airway and postop care are interlinked. The use of the ASA/CAFG classification of difficult airway ensures a more objective and accurate documentation of intra-operative airway difficulties, as opposed to relying on the subjective perception of the attending anaesthetist. On a departmental level, the airway lead anaesthetist6 could facilitate the development of a standardised workflow for proper documentation and postoperative dissemination of written critical airway information. Our study showed that usage of the 2013 ASA/CAFG difficult airway definitions was low, and often, anaesthetists failed to perceive the intra-operative airway difficulties even when the objective definitions were fulfilled. There was a low follow-up rate of patients with documented difficult airway. It would be helpful if international societies could provide a global consensus on standardising airway definitions, and if all categories of difficult airway should be reported with equal importance. We hope that the results of our study will stimulate reflection of current practice for the improvement thereof. Acknowledgements relating to this article Assistance with the study: we would like to thank J. Adam Law for his assistance with the manuscript preparation. Financial support and sponsorship: this work was supported by the Department of Anaesthesiology, Intensive Care and Pain Medicine, Tan Tock Seng Hospital, Singapore. Conflicts of interest: none.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
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: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,513
Score d'incertitude au seuil0,836

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,002
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 Opus0,020
Tête enseignante GPT0,286
Écart entre enseignants0,266 · 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
GenreCommentaire

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

En bref

Citations6
Publié2019
Routes d'admission1
Résumé présentoui

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