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Record W6920537258 · doi:10.60692/gz5za-vtp42

Proceedings of Réanimation 2019, the French Intensive Care Society International Congress

2019· article· en· W6920537258 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2019
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsExpirationIntensive careIntensive care unitWeaknessCompliance (psychology)Set (abstract data type)Pulmonary complianceNeuromuscular disease

Abstract

fetched live from OpenAlex

Introduction: Mechanical Insufflation-Exsufflation (MI-E) by using a specific device is commonly used to increase weak cough, as in patients with chronic neuromuscular weakness or in intensive care unit (ICU) patients with ICU-acquired neuro-myopathy.The assessment of the efficacy of MI-E device is commonly done by measuring peak cough flow (PCF).Upper airways collapse is frequently associated with neuromuscular disease and may compromise MI-E efficacy.Tracheomalacia is another disease that may impede PCF to increase with MI-E device.The goal of present study was to carry out a bench study to assess the effect of MI-E on PCF with and without the presence of a collapsible tube.Our hypothesis was that PCF was lower with than without collapsible tube.Patients and methods: We used a lung simulator (TTL Michigan Instruments) with adjustable compliance (C) and resistance (R) to which a MI-E (CoughAssist E70, Philips-Respironics) was attached, with or without a latex collapsible tube.Flow and pressure were proximal to the lung simulator.Six C-R combinations were tested, each with and without the collapsible tube.For each C-R combination, we set ± 30, ± 40 and ± 50 cmH2O inspiratory expiratory pressure at the MI-E device.MI-E device was set in automatic mode with inspiratory time of 3 s, expiratory time of 3.2 s and pause of 2 s.Each set was recorded by using a data logger (Biopac 150, Biopac inc.) and the last 5 cycles were used for the analysis done by using Acqknowledge software (Biopac inc.).The peak expiratory flow during the first 100 ms after onset of expiration was taken as the surrogate of PCF.The corresponding pressure was also recorded.Results: Contrary to our hypothesis, the peak expiratory flow during the first 100 ms of exsufflation phase is higher with than without the collapsible tube in every C-R condition, as shown in figure 1.For the C20R5 condition the effect of the collapsible tube on the intercept (-0.35 cm H 2 O) was not significant but this was offset by a significant increase in slope (+ 0.12 L s cm H 2 O).For the other conditions, the collapsible tube significantly increased PCF at 30 cm H 2 O expiratory pressure and the gap further increased above this pressure because the slope increased with the collapsible tube. Conclusion:We found that peak expiratory was higher with than without collapsible tube.In vivo measurements in patients should be done to confirm this finding.

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)0.002
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.142
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.1420.064

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 head0.226
Teacher spread0.206 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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