<i>ARDSNet</i> Lower Tidal Volume Ventilatory Strategy May Generate Intrinsic Positive End-Expiratory Pressure in Patients with Acute Respiratory Distress Syndrome
Bibliographic record
Abstract
The ARDSNet trial revealed that the use of a smaller tidal volume (VT) reduced mortality by 22%. However, three earlier studies that lowered VT did not find a decrease in mortality. We tested the hypothesis that the increased respiratory rate used in the ARDSNet lower VT strategy might have led to intrinsic positive end-expiratory pressure (PEEP(i)), raising total PEEP (PEEP(total)). Ten patients with acute respiratory distress syndrome (ARDS) were ventilated using the ARDSNet lower VT protocol. Respiratory rate was then reduced (10-15 breaths/minute) to obtain a VT of 12 ml/kg (ARDSNet traditional VT). PEEP on the ventilator (PEEP(nominal): 10.1 +/- 0.7 cm H2O), FIO2 (0.7 +/- 0.1), and minute ventilation (VE: 12.4 +/- 1.7 L/minute) were set using the ARDSNet protocol and maintained constant during the two ventilatory strategies. Values of airway pressure at end-expiration of a regular breath (PEEP(external)) and 3-5 seconds after the onset of an end-expiratory occlusion (PEEP(total)) were measured. PEEP(i) was calculated by subtracting PEEP(external) from PEEP(total). PEEP(total) and PEEP(i) were, respectively, 16.3 +/- 2.9 and 5.8 +/- 3.0 cm H2O during the lower VT strategy and 11.7 +/- 0.9 and 1.4 +/- 1.0 cm H2O during the traditional VT strategy (p < 0.01). The reduced mortality observed with the ARDSNet strategy may have been due to the protective effect of a higher PEEP(total).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".