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Record W4412610973 · doi:10.1164/rccm.202411-2155oc

Physiological Consequences of Breathing Effort According to the Mode of Ventilation during Acute Hypoxemic Respiratory Failure

2025· article· en· W4412610973 on OpenAlexafffund
Irene Telías, Matías Madorno, Tài Pham, Rémi Coudroy, Ricard Mellado Artigas, Elias Baedorf-Kassis, Chang-Wen Chen, Savino Spadaro, Davide Chiumello, Jeremy R. Beitler, Εumorfia Kondili, Norberto Tiribelli, Sebastián Fredes, Tobias Becher, Martin Dres, Kuan Liu, Nicolas Terzi, Claude Guérin, Tommaso Mauri, Oriol Roca, Jordi Mancebo, Núria Rodríguez, Jean-Michel Arnal, Ewan C. Goligher, Jean-Luc Diehl, Sébastien Jochmans, François Beloncle, Nuttapol Rittayamai, Francesco Mojoli, Leo Heunks, Heder de Vries, Jian-Xin Zhou, Christophe Guervilly, Laurent Brochard

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health NetworkInstitute of Health Services and Policy ResearchSinai Health SystemSt. Michael's Hospital
FundersCanadian Institutes of Health ResearchEuropean Society of Intensive Care MedicineInstitute of Circulatory and Respiratory HealthUniversity of TorontoEuropean Respiratory SocietySociety of Critical Care Medicine
KeywordsMedicineVentilation (architecture)Intensive care medicineRespiratory systemRespiratory failureAcute respiratory failureAnesthesiaMechanical ventilationInternal medicine

Abstract

fetched live from OpenAlex

RATIONALE: Excessive stress (distending pressure), strain (volume deformation), and drop in inspiratory alveolar pressure are proposed mechanisms for patient self-inflicted lung injury. OBJECTIVES: To dissect the influence of inspiratory effort, respiratory mechanics, and ventilation mode on lung stress, strain, and drop in inspiratory alveolar pressure and to explore their impact on oxygenation and lung compliance. METHODS: An international cohort study was conducted analyzing respiratory recordings (esophageal pressure) from patients with acute hypoxemic respiratory failure. Association between muscular pressure (Pmus), surrogates of stress (driving transalveolar pressure), strain (Vt), and inspiratory alveolar pressure relative to positive end-expiratory pressure (PEEP) were explored using mixed models, including interactions for ventilation mode, respiratory system elastance, and synchrony. Association between these and changes in oxygenation and lung compliance were explored. MEASUREMENTS AND MAIN RESULTS: Sixty patients from 15 centers represented 528 recordings (339,796 breaths). For each 1 cm H2O increase in Pmus, there were increases in driving transalveolar pressure (median [95% confidence interval (CI)], 0.28 [0.27 to 0.29] cm H2O) and Vt (median [95% CI], 0.16 [0.16 to 0.17] ml/kg of predicted body weight) and a decrease in alveolar pressure (median [95% CI], 0.25 [0.24 to 0.6] cm H2O; P < 0.001). Volume-control ventilation showed lesser increases in stress and strain surrogates than pressure-targeted modes but more drop in alveolar pressure (P < 0.001; Pmus-by-mode interaction). Breath stacking was infrequent and was associated with higher stress. Lower inspiratory alveolar pressure relative to PEEP was associated with subsequent worsening oxygenation (P = 0.04) and higher stress with worsening lung compliance (P = 0.023). CONCLUSIONS: Strong efforts are associated with high surrogates for lung stress, strain, and lower inspiratory alveolar pressure relative to PEEP, differently according to the mode of ventilation, and are associated with subsequent worsening oxygenation and lung compliance.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.021
GPT teacher head0.339
Teacher spread0.318 · 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 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

Citations11
Published2025
Admission routes2
Has abstractyes

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