Automated versus non-automated weaning for reducing the duration of mechanical ventilation for critically ill adults and children
Bibliographic record
Abstract
RATIONALE: Automated closed-loop systems may improve the adaptation of mechanical ventilatory support to an individual's ventilatory needs. They may also facilitate systematic and early recognition of the patient's ability to breathe spontaneously and come off the ventilator. This is an update of a Cochrane review originally published in 2013 and last updated in 2014. OBJECTIVES: To evaluate the benefits and harms of automated weaning systems compared with non-automated weaning methods in critically ill, mechanically ventilated adults and children. SEARCH METHODS: We searched MEDLINE ALL, Embase Classic+Embase, the Cochrane Library (Wiley), CINAHL (EBSCO), the Web of Science Core Collection, and trial registries on 2 February 2024. We checked the reference lists of included studies and relevant systematic reviews for other potentially eligible studies. ELIGIBILITY CRITERIA: We included randomized controlled trials (RCTs) evaluating automated closed-loop ventilator applications versus non-automated weaning methods (including non-protocolized usual care and protocolized weaning) in people aged over four weeks who were receiving invasive mechanical ventilation in an intensive care unit (ICU). OUTCOMES: Our critical outcomes were duration of mechanical ventilation (from randomization to successful unassisted breathing or death), mortality, ICU length of stay, and hospital length of stay. Our important outcomes included other ventilation durations, adverse events related to mechanical ventilation, and health-related quality of life. RISK OF BIAS: Two review authors independently assessed risk of bias using the Cochrane risk of bias tool RoB 1. SYNTHESIS METHODS: Two review authors independently extracted study data. We synthesized results for each outcome using meta-analysis (random-effects modeling). Subgroup and sensitivity analyses were conducted according to pre-established criteria. We used GRADE to assess the certainty of evidence for each outcome. INCLUDED STUDIES: This update included 62 trials (59 in adults, 3 in children) with 5052 participants (4834 adults, 218 children). The trials evaluated 10 commercially available automated closed-loop systems and one non-commercial system. Forty trials were conducted in mixed or medical ICU populations, the remainder in surgical ICU populations. SYNTHESIS OF RESULTS: = 0%; 17 RCTs, 1857 participants; moderate-certainty evidence). No studies reported health-related quality of life. Evidence certainty was downgraded for heterogeneity or imprecision. AUTHORS' CONCLUSIONS: Based on moderate-certainty evidence from 62 trials including over 5000 critically ill people (mainly adults), we found that automated closed-loop systems probably reduce the duration of mechanical ventilation and the length of ICU and hospital stay compared with non-automated weaning methods. Automated systems probably have little to no effect on mortality but probably reduce the need for reintubation, non-invasive ventilation, prolonged ventilation, and tracheostomy. Given the moderate-certainty evidence of benefit and no evidence of harm, the adoption of automated closed-loop ventilation systems into adult critical care clinical practice warrants consideration. There is a need for further adequately powered multi-center trials in adults and children. Future trials should include health-related quality of life among their outcomes. FUNDING: This review received no funding. REGISTRATION: The original review was registered with the Cochrane Database of Systematic Reviews, registration number CD009235. The original protocol, published in 2011, is available at DOI: 10.1002/14651858.CD009235. Previous versions of the review are available at DOI: 10.1002/14651858.CD009235.pub2 (2013) and DOI: 10.1002/14651858.CD009235.pub3 (2014).
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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 | 0.011 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".