Prolonged time to alarm in infusion devices operated at low flow rates
Bibliographic record
Abstract
OBJECTIVE: To evaluate the time to occlusion alarm for peristaltic infusion devices used in Toronto adult critical care units. DESIGN: Cross-sectional study. SETTING: Biomedical engineering departments of four Toronto teaching hospitals. SUBJECTS: Twenty peristaltic infusion devices (five Sigma 8000-plus, five Graseby 3000, five Baxter Colleague, and five Alaris 7230B). INTERVENTIONS: None. MEASUREMENTS: Time to occlusion alarm at flow rates of 2, 10, and 100 mL/hr at a full range of available pressure thresholds for occlusion detection, and with commonly used tubing sets. MAIN RESULTS: At default (mid-range) pressure thresholds, mean (SD) time to occlusion alarm was 0.3 (0.1) min at a flow rate of 100 mL/hr, 2.3 (0.5) min at a flow rate of 10 mL/hr, and 11.7 (3.1) min at a flow rate of 2 mL/hr. CONCLUSIONS: Time to occlusion alarm in peristaltic infusion devices is long at low flow rates. Patients receiving important medications with short half-lives at low flow rates could experience clinically important interruptions in treatment. Time to occlusion alarm at high flow rates is short, which could lead to excessive alarms and "alarm mistrust" by clinical staff.
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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 | 0.001 | 0.013 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".