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Record W920901770

A single-centre case series assessing the Ambu(®) aScope™ 2 for percutaneous tracheostomies: A viable alternative to fibreoptic bronchoscopes.

2015· article· en· W920901770 on OpenAlexaff
Steven Reynolds, Jason Zurba, Laura V. Duggan

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsRoyal Columbian HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicinePercutaneousIntensive care unitUniversity hospitalSurgeryIntensive care medicine
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Bronchoscope-assisted bedside percutaneous tracheostomy is increasingly common in the intensive care unit (ICU). Fiberoptic bronchoscopes (FOBs) are expensive, fragile and may be damaged in the busy ICU environment. The Ambu (®) aScope™ 2 is a disposable video bronchoscope with no suction port that may be an alternative. METHODS: The present analysis was a single-centre, prospective, quality improvement series substitution of Ambu (®) aScope™ 2 for FOB during percutaneous bedside tracheostomy with a FOB readily available. Physicians could elect not to use the Ambu (®) aScope™ 2. RESULTS: The Ambu® aScope™ 2 was used in 22 of 30 percutaneous bedside tracheostomies between September 9, 2012 and January 3, 2013. One conversion to an FOB occurred during the 22 procedures due to bleeding, resulting in a convfersion rate of approximately 5%. The rate of completion of the postprocedure questionnaire was 73% (16 of 22), with a mean 'ease of use' score of 8.19/10 (range 6/10 to 10/10) and a mean 'visualization' score of 6.1/10 (range 2/10 to 10/10). DISCUSSION/CONCLUSIONS: Ambu® aScope™ 2 was a reasonable alternative to FOB in a selected group of patients for bedside ICU PDT. Use of this new disposable scope will depend on local factors, processing delays and cost.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.282
Teacher spread0.226 · 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 designCase report
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

Citations7
Published2015
Admission routes1
Has abstractyes

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Same venuePubMed→Same topicTracheal and airway disorders→French-language works237,207→