A Prospective Study of Ventilator-Associated Pneumonia in Children
Bibliographic record
Abstract
OBJECTIVE: We conducted a prospective, observational study in a tertiary care pediatric center to determine risk factors for the development of and outcomes from ventilator-associated pneumonia. METHODS: From November 2004 to June 2005, all NICU and PICU patients mechanically ventilated for >24 hours were eligible for enrollment after parental consent. The primary outcome measure was the development of ventilator-associated pneumonia, which was defined by both Centers for Disease Control and Prevention/National Nosocomial Infections Surveillance criteria and clinician diagnosis. Secondary outcome measures were length of mechanical ventilation, hospital and ICU length of stay, hospital cost, and death. RESULTS: Fifty-eight patients were enrolled. The median age was 6 months, and 57% were boys. The most common ventilator-associated pneumonia organisms identified were Gram-negative bacteria (42%), Staphylococcus aureus (22%), and Haemophilus influenzae (11%). On multivariate analysis, female gender, postsurgical admission diagnosis, presence of enteral feeds, and use of narcotic medications were associated with ventilator-associated pneumonia. Patients with ventilator-associated pneumonia had greater need for mechanical ventilation (12 vs 22 median ventilator-free days), longer ICU length of stay (6 vs 13 median ICU-free days), higher total median hospital costs ($308,534 vs $252,652), and increased absolute hospital mortality (10.5% vs 2.4%) than those without ventilator-associated pneumonia. CONCLUSIONS: In mechanically ventilated, critically ill children, those with ventilator-associated pneumonia had a prolonged need for mechanical ventilation, a longer ICU stay, and a higher mortality rate. Female gender, postsurgical diagnosis, the use of narcotics, and the use of enteral feeds were associated with an increased risk of developing ventilator-associated pneumonia in these patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".