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Enregistrement W3017169819 · doi:10.1111/anae.15089

The use of <scp>UV</scp> fluorescent powder for <scp>COVID</scp> ‐19 airway management simulation training

2020· article· en· W3017169819 sur OpenAlex
Clare Gardiner, John Veall, Shannon L. Lockhart

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Notice bibliographique

RevueAnaesthesia · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueInfection Control and Ventilation
Établissements canadiensB.C. Women's Hospital & Health CentreSt. Paul's HospitalUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineAirwayCoronavirus disease 2019 (COVID-19)IntubationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicPreparednessSimulationComputer scienceSurgeryPathologyInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

The COVID-19 pandemic has made it imperative to rapidly implement changes to typical medical practice in order to minimise spread of the SARS-CoV-2 virus. Many of these changes are non-intuitive or differ significantly from normal practice. For this reason, we read with great appreciation the timely article by Fregene et al. 1, which describes translational simulation leading to increased preparedness at their institution. With the recognition that aerosol generating procedures are of particular importance to practice due to their high risk of virus transmission, we offer an additional tool for COVID-19 airway simulation training that helped consolidate learning and motivate change to practice in hospitals across Vancouver. Here we describe two ways to integrate UV fluorescent powder, as a visual virus surrogate, into scenarios requiring tracheal intubation. Of note, droplet transmission is considered to occur with respiratory droplets which are by definition, > 5 microns, whereas airborne transmission occurs with droplets which are < 5 microns 2. We use Glo GermTM (Marlatek Inc., Brockville, ON, Canada) as the UV fluorescent powder in these simulations which is 5 microns in size 3. Remove one of the manikin's lungs and thread a 6.0 mm I.D. tracheal tube filled with 1/8 tsp of Glo Germ into the bronchial lumen, then inflate the cuff. Connect an elbow attachment with a CO2 sampling port to the tracheal tube. Connect an Ambubag to the elbow attachment and a 3 ml syringe filled with 1/16 tsp of Glo Germ to the sampling port. During airway management, squeeze the Ambubag to send plumes of Glo Germ into the airway and surrounding area when there are breaches to optimal management (inadequate neuromuscular blockade, during attempts at bag-valve-mask ventilation, failure to inflate tracheal tube cuff adequately, etc.). Mix Glo Germ into a 250 ml bag of saline to the desired level of UV luminescence. Thread a mucosal anatomising device with extension tubing from the nose through to the oesophagus of the manikin. Fill a 5-ml syringe with Glo Germ liquid and attach it to the mucosal anatomising device. During airway management, when the practitioner changes from a simple mask to Ambubag, spray Glo Germ liquid out from the nostril. In both models, mix minimal Glo Germ with airway lubricant or petroleum jelly to apply to the manikin lips, tongue, cheeks and the tracheal tube cuffs of any to be used in the scenario. The UV fluorescent powder dispersal apparatus of either model may be concealed from sight under a patient gown. Illuminate the scene and participants’ personal protective equipment (PPE) with black light at the end of the scenario, as well as before and after doffing PPE, in order to view Glo Germ dispersal. Figure 1 shows Glo Germ dispersal after airway management breech using model 1 (left) and model 2 (right), illuminated with black light (please note the nasal mucosal anatomising device visible in model 2). Before adopting either model it is essential to be clear on the educational objectives of the simulation scenario. The UV light reveal is impactful enough that it will weigh most strongly in participant learning, regardless of the teaching goals during debriefing. Whereas model 1 results in contamination of equipment within 1 m of the manikin, model 2 contaminates more widely. Both offer evidence of direct contamination from contact with the Glo Germ lubricant applied to various surfaces. Model 1 is more representative of aerosolised contamination due to Glo Germ's particle size of 5 microns, whereas the nasal mucosal anatomising device in model 2 creates a mix of 30–100 micron droplets 4. Model 2 introduces the potential for secondary dispersal and contamination with doffing, which is a major source of staff self-contamination. Mindful extrapolation to clinical practice is required when using either model, given their inherent differences from true virus transmission. When used appropriately and in line with educational objectives, UV fluorescent powder offers a powerful visual tool in simulation training to reinforce, guide and consolidate changes to airway management for suspected and confirmed COVID-19 patients.

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.

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)0,001
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,610
Score d'incertitude au seuil0,532

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
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 Opus0,076
Tête enseignante GPT0,294
Écart entre enseignants0,218 · 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