Higher PEEP versus Lower PEEP Strategies for Patients with Acute Respiratory Distress Syndrome. A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Abstract Rationale Higher positive end-expiratory pressure (PEEP) levels may reduce atelectrauma, but increase over-distention lung injury. Whether higher PEEP improves clinical outcomes among patients with acute respiratory distress syndrome (ARDS) is unclear. Objectives To compare clinical outcomes of mechanical ventilation strategies using higher PEEP levels versus lower PEEP strategies in patients with ARDS. Methods We performed a systematic review and meta-analysis of clinical trials investigating mechanical ventilation strategies using higher versus lower PEEP levels. We used random effects models to evaluate the effect of higher PEEP on 28-day mortality, organ failure, ventilator-free days, barotrauma, oxygenation, and ventilation. Results We identified eight randomized trials comparing higher versus lower PEEP strategies, enrolling 2,728 patients with ARDS. Patients were 55 (±16) (mean ± SD) years old and 61% were men. Mean PEEP in the higher PEEP groups was 15.1 (±3.6) cm H2O as compared with 9.1 (±2.7) cm H2O in the lower PEEP groups. Primary analysis excluding two trials that did not use lower Vt ventilation in the lower PEEP control groups did not demonstrate significantly reduced mortality for patients receiving higher PEEP as compared with a lower PEEP (six trials; 2,580 patients; relative risk, 0.91; 95% confidence interval [CI] = 0.80–1.03). A higher PEEP strategy also did not significantly decrease barotrauma, new organ failure, or ventilator-free days when compared with a lower PEEP strategy (moderate-level evidence). Quality of evidence for primary analyses was downgraded for precision, as CIs of outcomes included estimates that would result in divergent recommendations for use of higher PEEP. Secondary analysis, including trials that did not use low Vt in low-PEEP control groups, showed significant mortality reduction for high-PEEP strategies (eight trials; 2,728 patients; relative risk, 0.84; 95% CI = 0.71–0.99), with greater mortality benefit observed for high PEEP in trials that did not use lower Vts in the low-PEEP control group (P = 0.02). Analyses stratifying by use of recruitment maneuvers (P for interaction = 0.69), or use of physiological targets to set PEEP versus PEEP/FiO2 tables (P for interaction = 0.13), did not show significant effect modification. Conclusions Use of higher PEEP is unlikely to improve clinical outcomes among unselected patients with ARDS.
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 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 | 0.011 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.021 | 0.033 |
| Bibliometrics | 0.004 | 0.005 |
| 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) | 0.003 | 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".