Survey of Cuff Management Practices in Intensive Care Units in Australia and New Zealand
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Cuff management varies widely in Europe and North America. Little is known about current practice in Australia and New Zealand. OBJECTIVE: To characterize important aspects of cuff management in intensive care units in Australia and New Zealand to compare with international reports. METHODS: A questionnaire was sent to all nurse managers of adult intensive care units in Australia and New Zealand. RESULTS: Survey response was 53% (92/175). After intubation, most units (50/92, 54%) used both minimal occlusive volume technique and cuff pressure measurement; 5 (5.5%) used these methods along with pilot balloon palpation. Twenty units (22%) used cuff pressure measurement exclusively and 16 units (17.5%) used the minimal occlusive volume technique exclusively. Only 1 unit (1%) used the minimal leak technique after intubation. For ongoing management, cuff pressure measurement was the preferred method, used exclusively in 42 units (46%), with the minimal occlusive volume technique used in 40 units (43%; sole method in 6 units [7%]) and palpation in 4 units (4%). In most units (65/92, 71%), cuffs were monitored once per nursing shift. In units using the minimal occlusive volume technique, oropharyngeal suctioning (74%) and semirecumbent positioning (58%) were routinely incorporated; sigh breaths (6%), discontinuation of enteral feeding (10%), and nasogastric tube aspiration (26%) were uncommon. Cuff management protocols (37%) and subglottic suctioning (12%) were used infrequently. CONCLUSIONS: Cuff pressure measurement was the preferred method, used exclusively or in combination with other methods. The minimal occlusive volume technique was used more often after intubation than for ongoing management.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it