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Pressures Exerted by Endobronchial Devices

2007· article· en· W1972653933 on OpenAlexaff
Andrew Roscoe, George W. Kanellakos, Karen McRae, Peter Slinger

Bibliographic record

VenueAnesthesia & Analgesia · 2007
Typearticle
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineCuffLumen (anatomy)AnesthesiaSeal (emblem)SurgeryBiomedical engineering

Abstract

fetched live from OpenAlex

In Brief BACKGROUND: High endotracheal cuff pressures have been shown to cause high mucosal pressures and a reduction in mucosal blood flow, with the risk of mucosal ischemia. We aimed to directly measure the pressure exerted by the bronchial cuffs of double-lumen tubes (DLT) and by the cuffs of three new designs of endobronchial blocker (EBB). METHODS: Using a validated in vitro model and a previously described technique, we measured the static pressures exerted by the cuff of DLTs and EBBs with 1 mL increments in cuff volume until maximum inflation was achieved. The study was repeated under dynamic conditions of simulated positive pressure ventilation. RESULTS: The pressures exerted by the cuffs of DLTs ranged from 16–155 mm Hg. Pressures exerted by the EBB cuffs ranged from 39–194 mm Hg. At intra-cuff volumes required to create a seal to 25 cm H2O positive pressure, the pressures exerted by the cuffs of all the devices were <30 mm Hg. CONCLUSIONS: A transmitted pressure <30 mm Hg has been recommended to avoid mucosal injury. Our study shows that at clinically relevant cuff volumes, the pressures exerted by the cuffs do not exceed the recommended safe limit. IMPLICATIONS: High pressures exerted by the cuffs of endobronchial devices may reduce mucosal blood flow, leading to mucosal injury. This study shows that at clinical cuff volumes, the pressures exerted by the cuffs do not exceed the recommended safe limit.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.281
Teacher spread0.271 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations41
Published2007
Admission routes1
Has abstractyes

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