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The LMA Is a Critical Rescue Device in Airway Emergencies

2005· article· en· W2073612507 on OpenAlexaboutno aff
David T. Wong

Bibliographic record

VenueAnesthesia & Analgesia · 2005
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAirwayIntubationIntensive care medicineHypoxemiaMedical emergencyAirway managementCricothyrotomyPsychological interventionEmergency departmentAnesthesiaNursing

Abstract

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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]

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.014
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0030.001
Research integrity0.0140.014
Insufficient payload (model declined to judge)0.0040.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.309
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2005
Admission routes1
Has abstractyes

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