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Record W4415968082 · doi:10.1183/13993003.00742-2025

Prognostic value of disease severity and mechanical ventilation intensity in acute respiratory distress syndrome: analysis of the LUNG SAFE cohort

2025· article· en· W4415968082 on OpenAlexaff
Emanuele Rezoagli, John G. Laffey, Fabiana Madotto, Alessandro Protti, Tài Pham, Antonio Artigas, Giacomo Bellani, Laurent Brochard

Bibliographic record

VenueEuropean Respiratory Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersEuropean Society of Intensive Care MedicineUniversità degli Studi di Milano-Bicocca
KeywordsMechanical ventilationARDSCohortAcute respiratory distressPredictive valueOxygenationIntensity (physics)LungCohort study

Abstract

fetched live from OpenAlex

Background We aimed to assess the prognostic performance of different indexes of oxygenation, respiratory mechanics and ventilation intensity in predicting 90-day mortality, and to estimate their independent associations, in a “real-world” observational cohort of acute respiratory distress syndrome (ARDS) patients on intensive care unit (ICU) mortality. Methods This is a secondary analysis of LUNG SAFE (Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE), an international prospective cohort study of patients with severe respiratory failure involving 459 ICUs from 50 countries. We evaluated the prognostic performance of oxygenation (arterial oxygen tension ( P aO 2 )/inspiratory oxygen fraction ( F IO 2 )), respiratory mechanics (normalised elastance) and ventilation intensity (plateau pressure ( P plat ), driving pressure (DP), 4DP+respiratory rate (RR) and mechanical power (MP)) measured on day 1 of controlled mechanical ventilation in ARDS patients, with respect to ICU mortality within 90 days of admission. For each parameter, associations with mortality were assessed using logistic regression models, estimating effect sizes (odds ratios with 95% confidence interval), model discrimination (area under the receiver operating characteristic curve), calibration and overall predictive accuracy. Results Among 2813 early ARDS patients, 516 (18.3%) met the inclusion criteria: mean± sd age 60±16 years, 61% male. Normalised elastance, P plat , DP and 4DP+RR were significantly associated with mortality, with adjusted ORs ranging from 1.02 (95% CI 1.01–1.03) for 4DP+RR to 1.48 (95% CI 1.15–1.95) for normalised elastance. These parameters showed higher predictive accuracy for mortality compared with P aO 2 / F IO 2 and MP. MP showed a U-shaped relationship with mortality but was not significantly associated with it. Its predictive accuracy decreased after accounting for positive end-expiratory pressure (PEEP) and dynamic resistance, with PEEP also demonstrating a U-shaped association with mortality. Conclusions Normalised elastance, DP and 4DP+RR, measured at day 1 of ARDS, were the best predictors of ICU mortality, and outperformed oxygenation and MP. DP showed the best balance between predictive accuracy and clinical simplicity. These results reinforce the importance of focusing on DP and 4DP+RR as key metrics to guide lung-protective strategies and ARDS severity classification.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.274
Teacher spread0.262 · 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

Citations10
Published2025
Admission routes1
Has abstractyes

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