Complications of mechanical ventilation in the pediatric population
Bibliographic record
Abstract
BACKGROUND: Mechanical ventilation (MV) strategies are continuously evolving in an effort to minimize adverse events. The objective of this study was to determine the complications associated with MV in children. STUDY DESIGN: Prospective observational study. Over a period of 10 consecutive months, 150 patients (median age 0.8 years, IQR 4.4, 59% male) were enrolled in this study. RESULTS: The median duration of MV was 3.1 days (IQR 3.9). A total of 85 complications were observed in 60 (40%) patients (114 complications per 1,000 ventilation days). 16.7% of patients developed atelectasis, 13.3% post-extubation stridor, 9.3% failed extubation, 2.0% pneumothorax, 3.3% accidental extubation, 2.7% nasal or perioral tissue damage and 1.9% ventilator associated pneumonia. Atelectasis occurred most often in the left lower lobe (36%) or in the right upper lobe (26%). The incidence of atelectasis in children <1 year of age was 12% (31 episodes per 1,000 days of ventilation) compared to 18% (57 episodes per 1,000 days of ventilation) in children ≥ 1 year of age (P < 0.05). Patients that failed extubation were ventilated for a median of 8.5 (IQR 8.8) days compared to 2.9 days (IQR, 3.8) in patients that were successfully extubated (P < 0.01). The absence of an air leak prior to extubation did not correlate with failed extubation. Accidental extubation was limited to orally intubated patients. CONCLUSION: MV complications occurred in 40% of patients and most often consisted of atelectasis and post-extubation stridor. Further studies are needed to examine associated risk factors and strategies to reduce their occurrence.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".