Beware the airway filter: deadspace effect in children under 2 years
Bibliographic record
Abstract
BACKGROUND: Filters are increasingly used in breathing circuits as they protect the circuit from contamination and facilitate humidification of inspired gas. The use of filters, however, can augment the anatomical deadspace. This can be significant in children because they have much smaller tidal volumes. METHODS: Following institutional ethical approval, 20 healthy children <2 years of age who required tracheal intubation were recruited. Ventilation was adjusted to achieve an endtidal carbon dioxide (P(E)CO(2)) of 4.6 kPa (35 mmHg) when sampled at the tracheal tube (TT) adapter. Following a 10-min period of stabilization, an airway filter (22 ml) was introduced into the circuit. The respiratory rate (RR) was then adjusted to return P(E)CO(2) to 4.6 kPa (35 mmHg). RESULTS: A mean increase in ventilation of 1.42 (0.38) l x min(-1) was required to maintain a normal P(E)CO(2) level. Airway pressure and respiratory rate increased by 7.9 mmHg (4.6) and 19.8 breath x min(-1) (8.7) respectively. The P(E)CO(2) and partial pressure of inspired carbon-di-oxide (PiCO(2)) measured from the TT adapter were higher than measured from the filter port. The mean increase was 3.6 (1.6) mmHg for P(E)CO(2) and 5.9 (3.9) mmHg for PiCO(2). CONCLUSION: Amplified deadspace from airway filters results in a significant increase in ventilation needed to maintain a normal P((E)CO(2) in children <2 years of age with normal lungs. Sampling of P((E)CO(2) and PiCO(2) from the filter significantly underestimates the effect of increased deadspace. The effect of increased deadspace may be predicted using a proposed mathematical model.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".