Use of Supraglottic Airway Devices by Paramedics in the Management of Adult Prehospital Cardiac Arrest Patients
Bibliographic record
Abstract
Introduction Current best practice for paramedic airway management of prehospital cardiac arrest is being continually reviewed following changes to the emphasis on intubation as a primary intervention within international resuscitation guidelines. Subsequently, there is increased enthusiasm for the use of next generation supraglottic airway devices. This review aimed to identify the current evidence for the safety and effectiveness of supraglottic airways for the management of prehospital cardiac arrest. Methods A search of the electronic databases Medline, PubMed, Science Direct and Cochrane Library was conducted. Papers were excluded if they did not examine airway management in the prehospital cardiac arrest setting, involved the use of sedative or paralysing agents, involved paediatric patients, animals or cadavers. Results Of the 689 articles identified, 22 peer-reviewed articles were included for analysis. All 22 articles were from the following countries: United States of America, United States of America and Canada, Australia, Austria, Finland, Germany, Korea, Japan, The Netherlands, Norway, Taiwan and the United Kingdom. Discussion This review revealed large variances in both device effectiveness and patient outcome, particularly between geographical locations. Second-generation supraglottic airway devices demonstrated considerable improvement in effectiveness over their predecessors. Interestingly, the use of bag-valve mask ventilation reported better outcomes than any other form of advanced airway intervention. Studies also highlighted the diversity of airway management techniques and devices across global EMS systems. Conclusion Despite favourable indications of the effectiveness and safety of the next generation supraglottic airway devices, the paucity of pre-hospital specific research (particularly randomised controlled trials) challenges decision-making regarding pre-hospital airway management best practice.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".