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Record W4412400702 · doi:10.1097/cce.0000000000001285

Troubleshooting Severe Airflow Obstruction With a Pressure-Limited Transport Ventilator: Lessons From Two Cases

2025· article· en· W4412400702 on OpenAlexaff
Peter M. Reardon, Christopher J. Yarnell, Jason A. Benaim, Chris Barclay, Gómez Tello, Andy Pan

Bibliographic record

VenueCritical Care Explorations · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsMontfort HospitalTransport CanadaUniversity of OttawaInstitut du Savoir MontfortThe Scarborough HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsDynamic hyperinflationMedicineVentilation (architecture)TroubleshootingIntensive care medicineComputer scienceLungEngineeringLung volumesInternal medicineMechanical engineering

Abstract

fetched live from OpenAlex

Presentations of status asthmaticus or severe chronic obstructive pulmonary disease exacerbation can present a formidable challenge to effective invasive ventilation. The optimal ventilation strategy targets low respiratory rates and high inspiratory flow rates to prolong the expiratory time and minimize dynamic hyperinflation. Although the resulting high peak pressures can usually be accommodated by ICU ventilators, some ventilators have a relatively limited peak pressure capacity as determined by the turbine. Here, we describe two cases of severe airflow obstruction where the desired ventilation strategy required a peak pressure over the capacity of the Hamilton T1 transport ventilator. Changing to a pressure regulated strategy, maximizing the driving pressure, and titrating the inspiratory time overcame the limitation. But, this strategy comes at a cost. Clinicians should be made aware of the possibility of a pressure limitation in their ventilator and understand how to adjust their ventilation strategy appropriately during transitions.

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 score0.387
Threshold uncertainty score0.713

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 head0.049
GPT teacher head0.346
Teacher spread0.297 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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