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Record W2133382217 · doi:10.4187/respcare.00815

Optimal PEEP Guided by Esophageal Balloon Manometry

2011· article· en· W2133382217 on OpenAlexaff

Bibliographic record

VenueRespiratory Care · 2011
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMedicineTranspulmonary pressureOxygenationOxygenation indexMechanical ventilationAnesthesiaBalloonNuclear medicineInternal medicineLung volumesLung

Abstract

fetched live from OpenAlex

A 45-year-old female was admitted to our ICU with severe ascites, and septic shock due to an obstructive ureteric stone. Despite an F(IO(2)) of 1.0, high PEEP, and multiple recruitment maneuvers, it was challenging to obtain an S(pO(2)) > 85% after the patient was turned. We inserted an esophageal balloon to determine whether the abdominal pressure was affecting lung compliance. PEEP was guided to a level of 32 cm H(2)O to achieve a transpulmonary pressure of 0 cm H(2)O. Within 6 hours there was significant oxygenation improvement: P(aO(2))/F(IO(2)) increased from 80 mm Hg to 244 mm Hg, and oxygenation index decreased from 35 to 18. At 48 hours, P(aO(2))/F(IO(2)) was 382 mm Hg and oxygenation index was 7. Paracentesis of approximately 5 L assisted with weaning. Subsequent PEEP changes were guided by transpulmonary pressure. She was weaned from mechanical ventilation within 10 days, with no adverse sequelae associated with very high PEEP.

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), Insufficient payload (model declined to judge)
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 score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.283
Teacher spread0.240 · 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 designBench or experimental
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

Citations16
Published2011
Admission routes1
Has abstractyes

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