Manual hyperinflation is associated with a low rate of adverse events when performed by experienced and trained nurses in stable critically ill patients--a prospective observational study.
Bibliographic record
Abstract
BACKGROUND: Manual hyperinflation (MH) can be performed as part of airway management in intubated and mechanically ventilated patients to mobilize airway secretions. Although previous studies demonstrated MH to be associated with hemodynamic and respiratory instability, we hypothesized MH to cause fewer adverse events (AEs) when performed by experienced and trained nurses in stable critically ill patients. METHODS: The incidence and type of AEs associated with MH were studied in a 28-bed mixed medical-surgical Intensive Care Unit. A difference in mean arterial pressure (MAP) or heart rate (HR) >15%, a decrease in peripheral oxygen saturation (SpO2) >5%, and a change in end-tidal (et)-CO2 >20% were considered AEs. A decrease of MAP to ≤60 mmHg, any new arrhythmia, and a decrease of SpO2 ≤90% were all considered severe AEs. Also, all changes in medication were considered severe AEs. RESULTS: A total of 107 MH maneuvers in 74 patients, performed by 57 nurses, were observed and analyzed. A total of 17 MH maneuvers (16%) were associated with any AE; 7 maneuvers (6%) were associated with a severe AE. Overall, MH did not affect MAP. MH caused a statistically significant but clinically irrelevant increase of HR (from 87±24 to 89±22 bpm). In one patient the MAP dropped from 70 mmHg to 60 mmHg, requiring adjustment of vasopressor therapy; one patient developed ventricular tachycardia requiring electric cardioversion. In general, MH did not affect SpO2. In one patient SpO2 dropped below 90%, requiring additional oxygen supply for 10 minutes. MH caused a statistically significant but clinically irrelevant increase of et-CO2 levels (from 4.4±0.9 to 4.5±1.0 kPa). Five patients developed anxiety/agitation during or shortly after MH, mandating additional sedation in four patients. Occurrence of (severe) AEs was not associated with any specific patient or MH characteristic. CONCLUSION: The rate of hemodynamic and respiratory AEs with MH is low when performed by experienced and trained nurses in stable, critically ill patients. MH, however, may induce or increase anxiety/agitation. We consider MH a safe maneuver in stable ICU patients in our setting.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".