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Record W3203698765 · doi:10.4187/respcare.20213604157

Negative Pressure Assisted Ventilation Results in Greater Dynamic Compliance in an OleicAcid-Induced Lung Injury Preclinical Model

2021· article· en· W3203698765 on OpenAlexaff
Elizabeth Rohrs, Thiago Bassi, K. Fernández, Jessica Wittmann, Marlena Ornowska, Michelle Nicholas, Steven Reynolds

Bibliographic record

VenueRespiratory Care · 2021
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsLungpacer Medical (Canada)Simon Fraser UniversityFraser Health
Fundersnot available
KeywordsMedicineAtelectasisARDSPulmonary complianceAnesthesiaTidal volumeLungMechanical ventilationDiaphragm (acoustics)Ventilation (architecture)Lung volumesCompliance (psychology)Peak inspiratory pressureTranspulmonary pressureRespiratory systemInternal medicine

Abstract

fetched live from OpenAlex

Background:Atelectasis results when alveoli collapse and is prevalent in approximately 90% of patients undergoing some period of anesthesia. (1-4) The pathophysiological effects of atelectasis include decreased lung compliance and decreased gas exchange capacity, leading to lung injury. (5) Current strategies to minimize atelectasis in these patients are centered around an ‘open lung’ approach that relies on PEEP to maximize alveolar patency. (6) Our research group is investigating the use of transvenous phrenic nerve stimulation to provide controlled diaphragm contractions to maximize alveolar patency. Compliance is a measure of the elastic resistance of a system and correlates with the number of patent alveoli. (7) It can be measured dynamically, while flow is occurring, reflecting the pressure exposure of the alveoli as they are stretching. (7, 8) This describes pathological changes indicating the potential risk for ventilator-induced lung injury in sedated patients. Methods:A preclinical, semi-blinded study was conducted using large pigs, mechanically ventilated for 12 h post oleic acid-induced lung injury. This is an accepted preclinical model of ARDS. (9) The MV group received lung-protective volume control ventilation at 8 mL/kg (n = 6). Transvenous diaphragm neurostimulation (TTDN), delivered on every breath in synchrony with volume control ventilation at 8 mL/kg was delivered to the MV+TTDN group. The strength of diaphragm contraction targeted a reduction in ventilator pressure-time product of 15-20% during inspiration (n = 6) as previously published. (10) Dynamic compliance was measured by electrical impedance tomography at baseline, post achievement of lung injury, and hourly for 12 h. Statistical analysis of the repeated measures over time used a linear mixed model. Fixed effects were time, TTDN dose and TTDN dose interaction with time. Random effect was subjects. Data is reported as median with interquartile ranges. Ethics approval was obtained from the local REB. Results:The dynamic compliance was significantly higher after 12 h post oleic-acid-induced lung injury in the MV+TTDN group compared to the MV group (75 mL/cm H2O (51-90) vs. 31 mL/cm H2O (25-36). The dynamic compliance was significantly affected by both TTDN (P = 0.002) and TTDN over time (P = 0.002). Conclusions:Negative-pressure-assisted ventilation, comprised of transvenous diaphragm neurostimulation during inspiration in volume control ventilation, improves dynamic compliance in a preclinical model of ARDS.Dynamic Compliance as Measured by EIT over Time

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.102
GPT teacher head0.395
Teacher spread0.293 · 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.

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
Published2021
Admission routes1
Has abstractyes

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