Association of Driving Pressure With Mortality Among Ventilated Patients With Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis*
Bibliographic record
Abstract
OBJECTIVES: A recent post hoc analysis suggested that driving pressure may be more important than traditional ventilatory variables in determining outcome in mechanically ventilated patients with acute respiratory distress syndrome. We conducted a systematic review and meta-analysis to summarize the risk of mortality for higher versus lower driving pressure. DATA SOURCES: MEDLINE, EMBASE, PubMed, CINAHL, and Cochrane CENTRAL from inception to February 10, 2017. STUDY SELECTION: Studies including mechanically ventilated adult patients with acute respiratory distress syndrome, reporting driving pressure and mortality. DATA EXTRACTION: Seven studies including five secondary analysis of previous randomized controlled trials and two observational studies (6,062 patients) were eligible for study. All studies were judged as having a low risk of bias. Median (interquartile range) driving pressure between higher and lower driving pressure groups was 15 cm H2O (14-16 cm H2O). Median (interquartile range) mortality of all included studies was 34% (32-38%). DATA SYNTHESIS: In the meta-analyses of four studies (3,252 patients), higher driving pressure was associated with a significantly higher mortality (pooled risk ratio, 1.44; 95% [CI], 1.11-1.88; I = 85%). A sensitivity analysis restricted to the three studies with similar driving pressure cutoffs (13-15 cm H2O) demonstrated similar results (pooled risk ratio, 1.28; 95% CI, 1.14-1.43; I = 0%). CONCLUSIONS: Our study confirmed an association between higher driving pressure and higher mortality in mechanically ventilated patients with acute respiratory distress syndrome. These findings suggest a possible range of driving pressure to be evaluated in clinical trials. Future research is needed to ascertain the benefit of ventilatory strategies targeting driving pressure in patients with acute respiratory distress syndrome.
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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 | 0.015 | 0.039 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.046 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".