All raw demographic and experimental data from the present study.
Bibliographic record
Abstract
Background: Acute cardiogenic pulmonary edema (ACPE) is characterized by acute breathlessness and hypoxia and is associated with poor prognosis. Standard pre-hospital management of ACPE includes high-flow oxygen, nitroglycerin and, in severe cases, assisted ventilation. Patients with ACPE can be supported with newer modalities of non-invasive ventilation, specifically continuous positive airway pressure (CPAP). The aim of this study was to determine whether patients with ACPE treated with CPAP plus low-flow oxygen pre-hospitally have a lower mortality rate than those treated conventionally. Methods: This study was a pre-hospital randomised, non-blinded controlled trial conducted July 2009–July 2010. Included were all participants transported by ambulance and admitted to the Royal Hobart Hospital, Tasmania, Australia. The study population was consecutive persons ≥18 years of age with sudden onset of severe respiratory distress, diagnosed as ACPE. Patients were included if they required ventilatory assistance. Patients required a GCS >12 and blood pressure >90 mmHg systolic to safely receive CPAP. The primary outcome was pre- or in-hospital mortality. Results: In total, 50 patients were enrolled with mean age of 79.8 (±11.9) years. There were two deaths (8.3%) in the CPAP arm and nine (34.6%) in the control arm (RR, −0.24; 95% CI, 0.06–1.00; p=0.051) with a number needed to treat of 4. CPAP plus low-flow oxygen was significantly less likely to result in respiratory acidosis (mean difference in pH, −0.11; 95% CI, −0.04–−0.17; p=0.002), with elevated pCO 2 (mean difference, −10.0 mmHg; 95% CI, −19.2–−0.78; p=0.026). The length of hospital stay was significantly shorter in the surviving patients who received CPAP (ratio of means, 0.45; 95% CI, 0.29–0.70; p≤0.001). Discussion: This study, which provides interim results due to early termination of the trial, shows CPAP in the pre-hospital setting for ACPE is practicable and is associated with improved patient outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.113 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".