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Record W4386156786 · doi:10.1097/cce.0000000000000968

Failure of First Transition to Pressure Support Ventilation After Spontaneous Awakening Trials in Hypoxemic Respiratory Failure: Influence of COVID-19

2023· article· en· W4386156786 on OpenAlex
Joaquín Pérez, Matías Accoce, Javier Hernán Dorado, Daniela Inés Gilgado, Emiliano Navarro, Gimena Paola Cardoso, Irene Telías, Pablo Rodríguez, Laurent Brochard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCritical Care Explorations · 2023
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsSinai Health SystemUniversity of TorontoUniversity Health NetworkSt. Michael's Hospital
Fundersnot available
KeywordsMedicineMechanical ventilationRespiratory failureFraction of inspired oxygenEtiologyVentilation (architecture)Odds ratioPressure support ventilationCoronavirus disease 2019 (COVID-19)CohortAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To describe the rate of failure of the first transition to pressure support ventilation (PSV) after systematic spontaneous awakening trials (SATs) in patients with acute hypoxemic respiratory failure (AHRF) and to assess whether the failure is higher in COVID-19 compared with AHRF of other etiologies. To determine predictors and potential association of failure with outcomes. DESIGN: Retrospective cohort study. SETTING: Twenty-eight-bedded medical-surgical ICU in a private hospital (Argentina). PATIENTS: Subjects with arterial pressure of oxygen (AHRF to F io 2 [Pa o 2 /F io 2 ] < 300 mm Hg) of different etiologies under controlled mechanical ventilation (MV). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We collected data during controlled ventilation within 24 hours before SAT followed by the first PSV transition. Failure was defined as the need to return to fully controlled MV within 3 calendar days of PSV start. A total of 274 patients with AHRF (189 COVID-19 and 85 non-COVID-19) were included. The failure occurred in 120 of 274 subjects (43.7%) and was higher in COVID-19 versus non-COVID-19 (49.7% and 30.5%; p = 0.003). COVID-19 diagnosis (odds ratio [OR]: 2.22; 95% CI [1.15–4.43]; p = 0.020), previous neuromuscular blockers (OR: 2.16; 95% CI [1.15–4.11]; p = 0.017) and higher fentanyl dose (OR: 1.29; 95% CI [1.05–1.60]; p = 0.018) increased the failure chances. Higher BMI (OR: 0.95; 95% CI [0.91–0.99]; p = 0.029), Pa o 2 /F io 2 (OR: 0.87; 95% CI [0.78–0.97]; p = 0.017), and pH (OR: 0.61; 95% CI [0.38–0.96]; p = 0.035) were protective. Failure groups had higher 60-day ventilator dependence ( p < 0.001), MV duration ( p < 0.0001), and ICU stay ( p = 0.001). Patients who failed had higher mortality in COVID-19 group ( p < 0.001) but not in the non-COVID-19 ( p = 0.083). CONCLUSIONS: In patients with AHRF of different etiologies, the failure of the first PSV attempt was 43.7%, and at a higher rate in COVID-19. Independent risk factors included COVID-19 diagnosis, fentanyl dose, previous neuromuscular blockers, acidosis and hypoxemia preceding SAT, whereas higher BMI was protective. Failure was associated with worse outcomes.

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.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.072
GPT teacher head0.365
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