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Record W4361002269 · doi:10.1097/ccm.0000000000005844

Limiting Dynamic Driving Pressure in Patients Requiring Mechanical Ventilation*

2023· article· en· W4361002269 on OpenAlexaffabout
Martin Urner, Peter Jüni, L. Paloma Rojas-Saunero, Bettina E. Hansen, Laurent Brochard, Niall D. Ferguson, Eddy Fan

Bibliographic record

VenueCritical Care Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity of TorontoUniversity Health NetworkToronto General HospitalSt. Michael's Hospital
Fundersnot available
KeywordsMedicineMechanical ventilationIntensive careObservational studyConfoundingVentilation (architecture)Psychological interventionPressure support ventilationEmergency medicineIntensive care medicineAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Previous studies reported an association between higher driving pressure (∆P) and increased mortality for different groups of mechanically ventilated patients. However, it remained unclear if sustained intervention on ∆P, in addition to traditional lung-protective ventilation, improves outcomes. We investigated if ventilation strategies limiting daily static or dynamic ∆P reduce mortality compared with usual care in adult patients requiring greater than or equal to 24 hours of mechanical ventilation. DESIGN: For this comparative effectiveness study, we emulated pragmatic clinical trials using data from the Toronto Intensive Care Observational Registry recorded between April 2014 and August 2021. The per-protocol effect of the interventions was estimated using the parametric g-formula, a method that controls for baseline and time-varying confounding, as well as for competing events in the analysis of longitudinal exposures. SETTING: Nine ICUs from seven University of Toronto-affiliated hospitals. PATIENTS: Adult patients (≥18 yr) requiring greater than or equal to 24 hours of mechanical ventilation. INTERVENTIONS: Receipt of a ventilation strategy that limited either daily static or dynamic ∆P less than or equal to 15 cm H 2 O compared with usual care. MEASUREMENTS AND MAIN RESULTS: Among the 12,865 eligible patients, 4,468 of (35%) were ventilated with dynamic ∆P greater than 15 cm H 2 O at baseline. Mortality under usual care was 20.1% (95% CI, 19.4-20.9%). Limiting daily dynamic ∆P less than or equal to 15 cm H 2 O in addition to traditional lung-protective ventilation reduced adherence-adjusted mortality to 18.1% (95% CI, 17.5-18.9%) (risk ratio, 0.90; 95% CI, 0.89-0.92). In further analyses, this effect was most pronounced for early and sustained interventions. Static ∆P at baseline were recorded in only 2,473 patients but similar effects were observed. Conversely, strict interventions on tidal volumes or peak inspiratory pressures, irrespective of ∆P, did not reduce mortality compared with usual care. CONCLUSIONS: Limiting either static or dynamic ∆P can further reduce the mortality of patients requiring mechanical ventilation.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.619

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.337
Teacher spread0.310 · 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

Citations48
Published2023
Admission routes2
Has abstractyes

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