Notice bibliographique
Résumé
To the Editor: In their survey of Canadian anesthesiologists’ preferred interventions after failed intubation and the more critical “cannot intubate–cannot ventilate” (CICV) situation, Wong et al. (1) indicate that only 57% of respondents had ever encountered the CICV scenario in their practice. This is not surprising, given the (fortunate) rarity of this event, with an estimated frequency of <0.1% (2–4). However, as an anesthesiologist who has (unfortunately) actually experienced such an emergency several years ago, I found the design of this survey perplexing. The authors solicited responses to two hypothetical clinical scenarios: 1) failed intubation with adequate mask ventilation, and 2) CICV in a critically hypoxic patient. Only in the first scenario was the use of an intubating laryngeal mask airway (LMA) an option. In the second circumstance, the authors specifically eliminated the option of an LMA by asking respondents to choose among various infraglottic (invasive) devices for securing the airway. Not surprisingly, fewer than 10% of respondents had any clinical experience with these techniques. In the CICV emergency that I experienced, neither an experienced nurse anesthetist nor I could intubate or ventilate the airway of an elderly patient requiring emergency laparotomy. Based on history and preoperative examination, we did not suspect a difficult airway despite the fact that the patient had, coincidentally, a large, vascular goiter with a palpable thrill. However, with the patient exhibiting rapidly worsening hypoxemia after our failure to intubate or ventilate her airway, it was abundantly clear that attempting to restore gas exchange by use of an invasive transtracheal device was not an option, as it would likely have resulted in severe hemorrhage. Fortunately, all anesthesia machines in our operating suite were equipped with #4 LMAs specifically intended for unanticipated emergencies; in my patient’s case, its use proved lifesaving. Such an experience remains permanently etched in one’s professional memory, and thus it seems to me particularly odd that in the portion of a survey designed to assess anesthesiologists’ responses to the CICV emergency, the LMA (intubating or standard) was not offered as an option. With adequate experience, failed LMA placement is a very rare event. Moreover, its use as a critical rescue device in airway emergencies has been so widely accepted that the American Society of Anesthesiologists modified its original Practice Guidelines for Management of the Difficult Airway to include the use of the LMA as a first response to the CICV situation (5–7). Perhaps Wong et al. assumed that the critical importance of the LMA in the CICV scenario is so implicit that it is not necessary to include it as an option in a survey of anesthesiologists’ responses to this exigency. However, given its acceptance as a critical rescue device and my own personal experience as described, this absence seems a perplexing oversight. Robert F. Atkins, MD Department of Anesthesiology Abington Memorial Hospital Abington, PA [email protected]
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,040 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,014 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».